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The system uses a MEMS variable-focus mirror, which has an electrostatically driven deformable membrane with a diameter of 4 mm and a manufacturer’s published 10%-to-90% rise time of less than 200 µs. The device permits fast, intra-scan adjustment of the downrange beam focus from 2.2 m to infinity for a lidar with a 25 mm diameter exit pupil. Experimentally, the variable-focus mirror improved the signal strength by more than 20 dB for objects within the first Rayleigh distance, in good agreement with theory. The fast response time allows the system to dynamically adjust the focus to different distances within a single sweep of a raster scan, in order to match the system focus on-the-fly to targets at different distances. Three-dimensional point clouds show that this technique allows some targets that are below the noise level when using a fixed focus to become visible when the focus is changed dynamically. https://doi.org/10.1364/AO.558347 http://www.w3.org/2000/01/rdf-schema#label Dynamic focusing using a MEMS mirror in a coherent lidar https://doi.org/10.1364/AO.558347 https://schema.org/funder https://ror.org/021nxhr62 https://doi.org/10.1364/AO.558347 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAw79OKG4fXTxxMV3-p5fJP32tD9OZkQCoBoWV8yWQ5lQ https://doi.org/10.1364/AO.558347 https://www.w3.org/ns/dcat#contactPoint drandrewoliver@ieee.org https://doi.org/10.1364/AO.558347 https://www.w3.org/ns/dcat#endDate April 24 2025 https://doi.org/10.1364/AO.558347 https://www.w3.org/ns/dcat#startDate 2024 https://w3id.org/np/RAw79OKG4fXTxxMV3-p5fJP32tD9OZkQCoBoWV8yWQ5lQ/provenance https://w3id.org/np/RAw79OKG4fXTxxMV3-p5fJP32tD9OZkQCoBoWV8yWQ5lQ/assertion 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http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAgsEHPr-WCHfLH2RNMFCVw4BHgqP3GvnGPfV5SqEkPRY/Alpha-DMS http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ExperimentalDMSObservation https://w3id.org/np/RAgsEHPr-WCHfLH2RNMFCVw4BHgqP3GvnGPfV5SqEkPRY/Alpha-DMS http://www.w3.org/2000/01/rdf-schema#comment Deep mutational scanning measurements (Bloom Lab) for SARS-CoV-2 Spike RBD variant Alpha (N169Y). Six values: bind=9.81374, delta_bind=1.04213, expr=10.05266, delta_expr=-0.13322, confidence_bind=0.0732354593527125, confidence_expr=0.0713853600674372. 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http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAs9zpNLdQ2G1UQqQPktjJho7GLdsrHWAVORbxPyC_BRA/Epsilon-DMS http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ExperimentalDMSObservation https://w3id.org/np/RAs9zpNLdQ2G1UQqQPktjJho7GLdsrHWAVORbxPyC_BRA/Epsilon-DMS http://www.w3.org/2000/01/rdf-schema#comment Deep mutational scanning measurements (Bloom Lab) for SARS-CoV-2 Spike RBD variant Epsilon (L120R). Six values: bind=8.93862, delta_bind=0.16701, expr=10.25356, delta_expr=0.06768, confidence_bind=0.0729917177063099, confidence_expr=0.0705230077448188. 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https://sen.science/doi/10.71728/hw56-vj34/resources/esm_wuhan_1step_v1 https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 http://purl.org/dc/terms/source https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk/STAYAHEAD-Dataset2 https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionRMSD https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of RMSD (12.801648143493145 Angstroms) for SARS-CoV-2 Spike RBD variant Epsilon (L120R) using ESM2. https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 http://www.w3.org/2000/01/rdf-schema#label Epsilon RMSD = 12.801648143493145 Å — ESM2 https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 https://w3id.org/spaces/mac/r/ontology/hasPredictionMethod https://w3id.org/np/RAV_9iAUAyUyNLhVQxpTaE54ko_liTnBpIarZBnkBcbgw/ESM2-Method https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 https://w3id.org/spaces/mac/r/ontology/hasRMSD 12.801648143493145 https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 https://w3id.org/spaces/mac/r/ontology/isObservationOf https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/np/RA7EJKrmgtLHuKzT8FBNPLo-8HMgCLzBvR2Mfxpl5iJrI/Epsilon-RMSD-ESM2 https://www.w3.org/ns/dcat#contactPoint 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https://sen.science/doi/10.71728/hw56-vj34/resources/af_wuhan_1step_v1 https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4/Epsilon-RMSD-AlphaFold2 http://purl.org/dc/terms/source https://w3id.org/np/RAuqwhkDJgVHU8_Fk2gsMw483Iml75Kc09XKR6h0ybO3Q/STAYAHEAD-Dataset1 https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4/Epsilon-RMSD-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4/Epsilon-RMSD-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionRMSD https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4/Epsilon-RMSD-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of RMSD (2.975776098053212 Angstroms) for SARS-CoV-2 Spike RBD variant Epsilon (L120R) using AlphaFold 2. 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https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4/Epsilon-RMSD-AlphaFold2 https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4 http://purl.org/nanopub/x/supersedes https://w3id.org/np/RA6R7bzGLG0TQDCfFITDN9plVjA6uUF7raZLktK8zMi7k https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4 http://www.w3.org/2000/01/rdf-schema#label Epsilon RMSD = 2.975776098053212 Å — AlphaFold 2 https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4 https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw https://w3id.org/np/RAN_Wf7LjMSofwyG0x4uhLNln8kgPnbKzl7ZHjXGKLOc4 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate 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https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://purl.org/dc/terms/source https://doi.org/10.71728/hw56-vj34 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://purl.org/dc/terms/source https://sen.science/doi/10.71728/hw56-vj34/resources/af_wuhan_1step_v1 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://purl.org/dc/terms/source https://w3id.org/np/RAuqwhkDJgVHU8_Fk2gsMw483Iml75Kc09XKR6h0ybO3Q/STAYAHEAD-Dataset1 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionSASA https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of SASA (10181.968717666516 square Angstroms) for SARS-CoV-2 Spike RBD variant Epsilon (L120R) using AlphaFold 2. https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#label Epsilon SASA = 10181.968717666516 Ų — AlphaFold 2 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 https://w3id.org/spaces/mac/r/ontology/hasPredictionMethod https://w3id.org/np/RAPz4KzBYjUUaURNGn4pR7PpJ5VAvv43v5dYK7gyG1DXk/AlphaFold2-Method https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 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https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk http://purl.org/nanopub/x/introduces https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk/Epsilon-SASA-AlphaFold2 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk http://purl.org/nanopub/x/supersedes https://w3id.org/np/RA_1MdrIk8wbsgaTZE0jObzWwmxbofD3bcXdRsy6imKDY https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk http://www.w3.org/2000/01/rdf-schema#label Epsilon SASA = 10181.968717666516 Ų — AlphaFold 2 https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAE9pIZSm1uZcf3AzCBLnhC6jzl5q53sHdd6xt-z4Qglk 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https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA/Epsilon-pLDDT-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionPLDDT https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA/Epsilon-pLDDT-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of pLDDT (94.19297808764844 unitless, 0-100) for SARS-CoV-2 Spike RBD variant Epsilon (L120R) using AlphaFold 2. https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA/Epsilon-pLDDT-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#label Epsilon pLDDT = 94.19297808764844 — AlphaFold 2 https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA/Epsilon-pLDDT-AlphaFold2 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA https://w3id.org/np/RAwjLl2XsUTPoaFrv45EmHr7K-HNlN--f3-pUTxmgDNnA/Epsilon-pLDDT-AlphaFold2 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http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ExperimentalDMSObservation https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS http://www.w3.org/2000/01/rdf-schema#comment Deep mutational scanning measurements (Bloom Lab) for SARS-CoV-2 Spike RBD variant Eta (E152K). Six values: bind=9.01256, delta_bind=0.24095, expr=10.21898, delta_expr=0.03311, confidence_bind=0.0722604927671021, confidence_expr=0.0697838486111459. All unitless. https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS http://www.w3.org/2000/01/rdf-schema#label Eta DMS observation — Bloom Lab (bind=9.01256, expr=10.21898) https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasBind 9.01256 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasConfidenceBind 0.0722604927671021 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasConfidenceExpr 0.0697838486111459 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasDeltaBind 0.24095 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasDeltaExpr 0.03311 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasExperimentalMethod https://w3id.org/np/RAWQDkXVW2tB6LEgirShh03PKJOznYQFVLx8-YXhWfnew/BloomLab-DMS-Method https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/hasExpr 10.21898 https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://w3id.org/spaces/mac/r/ontology/isObservationOf https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/Eta-DMS https://www.w3.org/ns/dcat#contactPoint e.a.schultes@lacdr.leidenuniv.nl https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/provenance https://w3id.org/np/RAymn8p9SjkROiji7aVPDRVdD3A33Ad5uuoYPTEkaMkrA/assertion 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https://w3id.org/np/RAPh6zDXbnsMP304CGWT3OcY8ielo_GVifxC7oDsVB8HM/Eta-RMSD-ESM2 http://purl.org/dc/terms/source https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk/STAYAHEAD-Dataset2 https://w3id.org/np/RAPh6zDXbnsMP304CGWT3OcY8ielo_GVifxC7oDsVB8HM/Eta-RMSD-ESM2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAPh6zDXbnsMP304CGWT3OcY8ielo_GVifxC7oDsVB8HM/Eta-RMSD-ESM2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionRMSD https://w3id.org/np/RAPh6zDXbnsMP304CGWT3OcY8ielo_GVifxC7oDsVB8HM/Eta-RMSD-ESM2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of RMSD (2.476768477258109 Angstroms) for SARS-CoV-2 Spike RBD variant Eta (E152K) using ESM2. https://w3id.org/np/RAPh6zDXbnsMP304CGWT3OcY8ielo_GVifxC7oDsVB8HM/Eta-RMSD-ESM2 http://www.w3.org/2000/01/rdf-schema#label Eta RMSD = 2.476768477258109 Å — ESM2 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https://sen.science/doi/10.71728/hw56-vj34/resources/af_wuhan_1step_v1 https://w3id.org/np/RAVHbFaBJ4Ezq3LpEvHlQR2y6FbyOeA6Ltk3wk-hZZTyE/Eta-RMSD-AlphaFold2 http://purl.org/dc/terms/source https://w3id.org/np/RAuqwhkDJgVHU8_Fk2gsMw483Iml75Kc09XKR6h0ybO3Q/STAYAHEAD-Dataset1 https://w3id.org/np/RAVHbFaBJ4Ezq3LpEvHlQR2y6FbyOeA6Ltk3wk-hZZTyE/Eta-RMSD-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RAVHbFaBJ4Ezq3LpEvHlQR2y6FbyOeA6Ltk3wk-hZZTyE/Eta-RMSD-AlphaFold2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionRMSD https://w3id.org/np/RAVHbFaBJ4Ezq3LpEvHlQR2y6FbyOeA6Ltk3wk-hZZTyE/Eta-RMSD-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of RMSD (2.7195180252543003 Angstroms) for SARS-CoV-2 Spike RBD variant Eta (E152K) using AlphaFold 2. 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https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of SASA (10226.641288430395 square Angstroms) for SARS-CoV-2 Spike RBD variant Eta (E152K) using AlphaFold 2. https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 http://www.w3.org/2000/01/rdf-schema#label Eta SASA = 10226.641288430395 Ų — AlphaFold 2 https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 https://w3id.org/spaces/mac/r/ontology/hasPredictionMethod https://w3id.org/np/RAPz4KzBYjUUaURNGn4pR7PpJ5VAvv43v5dYK7gyG1DXk/AlphaFold2-Method https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 https://w3id.org/spaces/mac/r/ontology/hasSASA 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https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 http://purl.org/nanopub/x/introduces https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0/Eta-SASA-AlphaFold2 https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 http://purl.org/nanopub/x/supersedes https://w3id.org/np/RAdHQntpPxeWMz2i7U2DbtqwsKHMq1ChPGsSFCldceCik https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 http://www.w3.org/2000/01/rdf-schema#label Eta SASA = 10226.641288430395 Ų — AlphaFold 2 https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAjsJgM13kFOaExAskq-K-7KcEf1anAAbrBz_TROBWtP0 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate 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https://w3id.org/spaces/mac/r/ontology/ComputationalPredictionSASA https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 http://www.w3.org/2000/01/rdf-schema#comment Computational prediction of SASA (18026.596842240684 square Angstroms) for SARS-CoV-2 Spike RBD variant Eta (E152K) using ESM2. https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 http://www.w3.org/2000/01/rdf-schema#label Eta SASA = 18026.596842240684 Ų — ESM2 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://w3id.org/spaces/mac/r/ontology/hasPredictionMethod https://w3id.org/np/RAV_9iAUAyUyNLhVQxpTaE54ko_liTnBpIarZBnkBcbgw/ESM2-Method https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://w3id.org/spaces/mac/r/ontology/hasSASA 18026.596842240684 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://w3id.org/spaces/mac/r/ontology/isObservationOf https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://www.w3.org/ns/dcat#contactPoint e.a.schultes@lacdr.leidenuniv.nl https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/provenance https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/pubinfo https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://purl.org/dc/terms/created 2026-06-01T10:30:42Z https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://purl.org/nanopub/x/introduces https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0/Eta-SASA-ESM2 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://purl.org/nanopub/x/supersedes https://w3id.org/np/RARSu37G4FkiF7SM9ymgB7x0XYtYM0YU8Pw_4hPa3jvQ8 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 http://www.w3.org/2000/01/rdf-schema#label Eta SASA = 18026.596842240684 Ų — ESM2 https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RAeGQbuaKdL82xN1MBbkzLemD7twqcJYfxZdGVUWTX8G0 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate 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https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/SpikeRBDVariant https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant http://www.w3.org/2000/01/rdf-schema#comment SARS-CoV-2 Spike RBD variant Epsilon, carrying the L120R substitution (corresponding to L452R in the full Spike numbering — Epsilon's canonical defining mutation). Pango lineage B.1.427 + B.1.429 (composite). RBD anchor FDO for the MAC FAIR Digital Twin observation cluster — all Type 2-8 observation FDOs of this variant link back here via mac:isObservationOf. https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant http://www.w3.org/2000/01/rdf-schema#label Spike RBD Variant Epsilon (L120R) https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasGISAIDAccession EPI_ISL_2295356 https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasGISAIDSeqId L452R https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasMACSeqId L120R https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasPangoLineage B.1.427 + B.1.429 https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasParentProtein https://www.uniprot.org/uniprot/P0DTC2 https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasRBDSequence TNLCPFGEVFNATRFASVYAWNRKRISNCVADYSVLYNSASFSTFKCYGVSPTKLNDLCFTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFTGCVIAWNSNNLDSKVGGNYNYRYRLFRKSNLKPFERDISTEIYQAGSTPCNGVEGFNCYFPLQSYGFQPTNGVGYQPYRVVVLSFELLHAPATVCGP https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasWHOVariantName Epsilon https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://www.w3.org/ns/dcat#contactPoint e.a.schultes@lacdr.leidenuniv.nl https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/provenance https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/pubinfo https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://purl.org/dc/terms/created 2026-06-01T10:23:12Z https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://purl.org/nanopub/x/introduces https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/Epsilon-RBD-Variant https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://purl.org/nanopub/x/supersedes https://w3id.org/np/RAbyuWWdW-j1rYt7Eqnva6aBvMyTkM9_Ka2FbA9dJHR7s https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 http://www.w3.org/2000/01/rdf-schema#label Spike RBD Variant Epsilon (L120R) https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RAMEgudZsQ1bh1fZhfYnkthqH6YSXpghSE_DEN1I-6eAI https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RARW4MsFkHuwjycNElvEVtuMjpf4yWDL10-0C5l2MqqRQ 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1ONNd8b5hIJt65f/N7KgKoWVr3kWo8N/xd+1Z/qO6lJD3nd7yRC8angnm2qpyvucYGFRImoRyHZLiVPHgiN5arXNYPOpfppBlc0TzjpA2eOn/lM9CWyB3PDmRNTFo63DNZSIwK91UjpvxJrYHtchzuBETJnMzCHM4t/URm4nYSI= https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30 https://w3id.org/np/RADWPV5jeyK-7pxen6hMrxjP4hPNLk3EJTibcxJCInv30/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Head https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/assertion https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/provenance https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/pubinfo https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/assertion https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ https://w3id.org/fdof/ontology#hasEncodingFormat https://www.iana.org/assignments/media-types/application/trig https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ https://w3id.org/fdof/ontology#materializes https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ https://www.w3.org/ns/dcat#accessURL https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://purl.org/dc/terms/isPartOf https://w3id.org/np/RAXPu-iuezz8swvd6RWIba3VzV0cp94Aq3pTzVst9_nPk/StayAhead-Project https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://purl.org/dc/terms/publisher https://ror.org/027bh9e22 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://purl.org/dc/terms/references https://doi.org/10.3389/fbinf.2025.1634111 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://purl.org/dc/terms/source https://doi.org/10.71728/hw56-vj34 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/spaces/mac/r/ontology/SpikeRBDVariant https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://www.w3.org/2000/01/rdf-schema#comment SARS-CoV-2 Spike RBD variant Eta, carrying the E152K substitution (corresponding to E484K in the full Spike numbering). Pango lineage B.1.525. Designated a Variant of Interest (VOI) by the WHO. RBD anchor FDO for the MAC FAIR Digital Twin observation cluster — all Type 2-8 observation FDOs of this variant link back here via mac:isObservationOf. https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant http://www.w3.org/2000/01/rdf-schema#label Spike RBD Variant Eta (E152K) https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/fdof/ontology#hasMetadata https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasGISAIDAccession EPI_ISL_941290 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasGISAIDSeqId E484K https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasMACSeqId E152K https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasPangoLineage B.1.525 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasParentProtein https://www.uniprot.org/uniprot/P0DTC2 https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasRBDSequence TNLCPFGEVFNATRFASVYAWNRKRISNCVADYSVLYNSASFSTFKCYGVSPTKLNDLCFTNVYADSFVIRGDEVRQIAPGQTGKIADYNYKLPDDFTGCVIAWNSNNLDSKVGGNYNYLYRLFRKSNLKPFERDISTEIYQAGSTPCNGVKGFNCYFPLQSYGFQPTNGVGYQPYRVVVLSFELLHAPATVCGP https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://w3id.org/spaces/mac/r/ontology/hasWHOVariantName Eta https://w3id.org/np/RA8yS9sU1tq87fXelVb4Q7uwjpoDXOsoelXM5--tfu6IQ/Eta-RBD-Variant https://www.w3.org/ns/dcat#contactPoint e.a.schultes@lacdr.leidenuniv.nl 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Attribution 4.0 International - Using this licence you are free to share and adapt the resource but you must ... https://orcid.org/0000-0001-8888-635X http://xmlns.com/foaf/0.1/name Erik Schultes https://w3id.org/np/RAXPu-iuezz8swvd6RWIba3VzV0cp94Aq3pTzVst9_nPk/StayAhead-Project https://w3id.org/np/o/ntemplate/hasLabelFromApi STAYAHEAD https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk http://purl.org/dc/terms/created 2026-05-31T22:40:03Z https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk http://purl.org/dc/terms/creator https://orcid.org/0000-0001-8888-635X https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk http://purl.org/nanopub/x/introduces https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk/STAYAHEAD-Dataset2 https://w3id.org/np/RAbvDm28nNtScXcTXEKHbyYdx1yDXQ5zOViy_Dn7LOkkk 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http://schema.org/dateModified 2026-05-19 11:46:00.057896+00:00 https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d/ http://schema.org/datePublished 2022-01-12 16:34:39.917729+00:00 https://w3id.org/ro-id/0c470650-84d9-40e1-bc80-4591a27f6c4d/ http://schema.org/description Aromatic compounds are those chemical compounds (most commonly organic) that contain one or more rings with pi electrons delocalized all the way around them. In contrast to compounds that exhibit aromaticity, aliphatic compounds lack this delocalization. The term "aromatic" was assigned before the physical mechanism determining aromaticity was discovered, and referred simply to the fact that many such compounds have a sweet or pleasant odour; however, not all aromatic compounds have a sweet odour, and not all compounds with a sweet odour are aromatic compounds. Aromatic hydrocarbons, or arenes, are aromatic organic compounds containing solely carbon and hydrogen atoms. The configuration of six carbon atoms in aromatic compounds is called a "benzene ring", after the simple aromatic compound benzene, or a phenyl group when part of a larger compound. Not all aromatic compounds are benzene-based; aromaticity can also manifest in heteroarenes, which follow Hückel's rule (for monocyclic rings: when the number of its π electrons equals 4n + 2, where n = 0, 1, 2, 3, ...). In these compounds, at least one carbon atom is replaced by one of the heteroatoms oxygen, nitrogen, or sulfur. 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http://schema.org/dateCreated 2022-02-02 13:22:22.374580+00:00 https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/dateModified 2025-03-05 01:04:55.096466+00:00 https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/datePublished 2022-02-02 13:22:22.374580+00:00 https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/description This RO contains the seismicity occurring at Mt. Etna (Italy) from local and national monitoring networks managed by INGV. Data span of 12 days, 2016-07-06 - 2016-07-17 and it is taken from the INGV website. Data and results published on this website by Istituto Nazionale di Geofisica e Vulcanologia are licensed under a Creative Commons Attribution 4.0 International License. ISIDe Working Group at National Earthquake Observatory benefited from funding provided by the Italian Presidenza del Consiglio dei Ministri, Dipartimento della Protezione Civile. https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/hasPart https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/folders/e7630157-146f-4249-9f90-0678cb3f9a71 https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/hasPart https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/folders/fb17ecfb-1b56-4028-a0c0-88243cde6ffb https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/hasPart https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/resources/6fa21b20-d907-425d-9f50-88c998128b1e https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/identifier https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8 https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/7dbe7eb1-c0c9-4722-ad47-885dd01eaee8/ http://schema.org/name Mt. 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"Mt. Etna (Italy) seismic activity from 2016-07-06 - 2016-07-17." ROHub. 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occurring at Mt. Etna (Italy) from local and national monitoring networks managed by INGV. Data span of 12 days, 2016-07-30 - 2016-08-10 and it is taken from the INGV website. Data and results published on this website by Istituto Nazionale di Geofisica e Vulcanologia are licensed under a Creative Commons Attribution 4.0 International License. ISIDe Working Group at National Earthquake Observatory benefited from funding provided by the Italian Presidenza del Consiglio dei Ministri, Dipartimento della Protezione Civile. https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/hasPart https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/folders/3f88c971-97f2-45aa-9953-3ed0dcaaa42a https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/hasPart https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/folders/56451df3-59f7-4c4e-92f9-5c8df45cf857 https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/hasPart https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/resources/8d4174be-b324-4ee4-80fa-d46e6d8fbce3 https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/identifier https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5 https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/8f442e85-5fef-4ac9-ba51-510ecb12b6e5/ http://schema.org/name Mt. 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"Mt. Etna (Italy) seismic activity from 2016-07-30 - 2016-08-10." ROHub. 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http://eurovoc.europa.eu/3952 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/author mailto:service-account-generation-service https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/contentLocation https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/#9303ad21-e095-4a8b-944e-76347e5c27c6 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/contentSize 46670 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/contentUrl https://api.rohub.org/api/ros/618c682d-22bf-4f4d-9fdb-3ca9196897a2/crate/download/ https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/creator mailto:service-account-generation-service https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/dateCreated 2022-02-02 13:23:19.199340+00:00 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/dateModified 2025-03-05 01:04:55.749971+00:00 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/datePublished 2022-02-02 13:23:19.199340+00:00 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/description This RO contains the seismicity occurring at Mt. Etna (Italy) from local and national monitoring networks managed by INGV. Data span of 12 days, 2016-08-11 - 2016-08-22 and it is taken from the INGV website. Data and results published on this website by Istituto Nazionale di Geofisica e Vulcanologia are licensed under a Creative Commons Attribution 4.0 International License. ISIDe Working Group at National Earthquake Observatory benefited from funding provided by the Italian Presidenza del Consiglio dei Ministri, Dipartimento della Protezione Civile. https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/hasPart https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/folders/50c65914-c7fd-408a-8dbe-def69b7bc657 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/hasPart https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/folders/5362fbfd-6fc5-4b5a-b043-3ebdb94c2e2d https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/hasPart https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/resources/e70a2924-4465-403b-a450-51c0783fc5cd https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/identifier https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://schema.org/name Mt. Etna (Italy) seismic activity from 2016-08-11 - 2016-08-22 https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://w3id.org/ro-id/rohub/model#creation_mode AUTOMATIC https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/0f6d8100-fa61-4557-99bb-82924ebc9a7d https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#BibliographyResearchObject https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#BibliographyResearchObject https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ https://schema.org/keywords Degassing https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ https://schema.org/keywords Etna Seismic Actitvity https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ https://schema.org/keywords Monitoring Networks https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ https://schema.org/keywords Seismic Activity https://w3id.org/ro-id/618c682d-22bf-4f4d-9fdb-3ca9196897a2/ https://www.w3.org/ns/iana/link-relations/relation#cite-as service-account-generation-service. "Mt. Etna (Italy) seismic activity from 2016-08-11 - 2016-08-22." ROHub. 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https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/ http://schema.org/datePublished 2022-03-22 01:21:07.680973+00:00 https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/ http://schema.org/description The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 &lt;= s &lt;= 128, 0 &lt;= t &lt;= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. 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"The cohomology of the mod 2 Steenrod algebra." ROHub. Mar 22 ,2022. https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779. https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/4cdf0419-1dbc-4b9e-8398-1bc10f9d7129 http://schema.org/name raw data https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/4cdf0419-1dbc-4b9e-8398-1bc10f9d7129 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/4cdf0419-1dbc-4b9e-8398-1bc10f9d7129 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/927427ca-8203-4093-ad4c-90481b4d2f19 http://schema.org/name biblio https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/927427ca-8203-4093-ad4c-90481b4d2f19 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/927427ca-8203-4093-ad4c-90481b4d2f19 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/e1e7b779-572d-4e23-9a73-44a8591f0d5c http://schema.org/hasPart https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/e1e7b779-572d-4e23-9a73-44a8591f0d5c http://schema.org/name data https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/e1e7b779-572d-4e23-9a73-44a8591f0d5c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/e1e7b779-572d-4e23-9a73-44a8591f0d5c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/ec1a53fa-6e8b-4509-a3c7-d5f233a99a7d http://schema.org/name metadata https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/ec1a53fa-6e8b-4509-a3c7-d5f233a99a7d http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/folders/ec1a53fa-6e8b-4509-a3c7-d5f233a99a7d http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://purl.org/dc/terms/bibliographicCitation Bruner, R., Rognes, J. (2022).The cohomology of the mod 2 Steenrod algebra [Data set]. Norstore. https://doi.org/10.11582/2022.00015 https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://purl.org/dc/terms/rightsHolder Robert Ray Bruner https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00077 https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/dateCreated None https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/dateModified 2022-03-22 01:21:29.913760+00:00 https://w3id.org/ro-id/32eba436-e9ef-4ed2-8911-fec14c5a3779/resources/81adbab3-c65f-45a3-9911-5978f8553863 http://schema.org/description The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 &lt;= s &lt;= 128, 0 &lt;= t &lt;= 184, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. 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https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/ http://schema.org/dateCreated 2022-03-22 01:21:47.502650+00:00 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/ http://schema.org/dateModified 2025-03-05 01:24:10.636796+00:00 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/ http://schema.org/datePublished 2022-03-22 01:21:47.502650+00:00 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. 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"Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018." ROHub. 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P., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018 [Data set]. Norstore. https://doi.org/10.11582/2021.00065 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00065 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/dateCreated 2021-07-16 00:00:00 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/dateModified 2022-03-22 01:22:40.368999+00:00 https://w3id.org/ro-id/b4960d2f-d2a6-462c-83b1-9b85f4c046ac/resources/616ea761-e05f-4292-8ed8-fb773ca1b77c http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. 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https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/author mailto:jorgen.berge@rohub.com https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/contentLocation https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/#6dbca1e0-2173-4f1d-b61e-f4e28bec383e https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/contentSize 11480 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/contentUrl https://api.rohub.org/api/ros/04c3f1b2-96ec-4065-98a1-9499762d2405/crate/download/ https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/dateCreated 2022-03-22 01:22:41.914748+00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/dateModified 2025-03-05 01:24:10.453697+00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/datePublished 2022-03-22 01:22:41.914748+00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. At this deployment, two settlement plates were deployed (25m and 208m). https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/hasPart https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/folders/1dcb06c2-4785-4eb8-832c-52f42932aa63 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/hasPart https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/folders/abb1f215-e568-47f6-ab6b-6320da005e15 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/hasPart https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/folders/db647a2b-3dc7-489b-9a2f-f6f77622cd83 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/hasPart https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/folders/fc011b09-6dfd-4535-bb19-1e164ed96f4e https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/identifier https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept Svalbard https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept dataset https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept diagram https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept fluorescence https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept information https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept layout https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept mooring https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept observatory https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept occupational overuse syndrome https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept processing https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept recovery https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Concept temperature https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma CTD https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma Kongsfjorden Rijpfjorden Observatory Programme https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma data https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma diagram https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma fluorescence https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma mooring https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Lemma observatory https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#NASA space sciences https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Phrase fluorescence data https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Phrase mooring diagram https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Phrase observatories consist https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Phrase observatory layout https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Phrase recovery processing https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Sentence As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Sentence The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#Sentence This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017. https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#TimeReference 2016-2017 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://w3id.org/ro/earth-science#TimeReference Aug-2016-Aug-2017 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/43a67b20-7c3d-4cd5-b299-35283289cf7f https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ https://w3id.org/contentdesc#Domain armed forces https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ https://w3id.org/contentdesc#Place Svalbard https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Finlo Cottier, Jørgen Berge, Estelle Dumont, Colin Griffith, John Beaton, Daniel Ludwig Vogedes, UiT The Arctic University of Norway (UiT), and Scottish Association for Marine Science (SAMS). "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017." ROHub. 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L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017 [Data set]. Norstore. https://doi.org/10.11582/2021.00062 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00062 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/dateCreated 2021-07-12 00:00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/dateModified 2022-03-22 01:23:32.132406+00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. At this deployment, two settlement plates were deployed (25m and 208m). https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) August 2016-August 2017 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://schema.org/sdDatePublished 2021-07-12 00:00:00 https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/04c3f1b2-96ec-4065-98a1-9499762d2405/resources/998506c7-82a0-42a4-bcd1-f8f673dff240 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https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/author mailto:john.beaton@rohub.com https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/author mailto:jorgen.berge@rohub.com https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/contentLocation https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/#40e24f2d-a1b1-42dd-ba2e-eedfdfeea4ec https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/contentSize 11633 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/contentUrl https://api.rohub.org/api/ros/868972b2-e340-4007-8521-8f03b58cb7b9/crate/download/ https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/dateCreated 2022-03-22 01:23:33.372212+00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/dateModified 2025-03-05 01:24:10.793750+00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/datePublished 2022-03-22 01:23:33.372212+00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. For this deployment a RAS500 water sampler and a SUNA nitrate sensor were deployed for a specific project, data are not part of the long-term monitoring efforts and are available upon request. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/hasPart https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/folders/0df66453-019f-4ff8-8f64-539d1a59adb0 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/hasPart https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/folders/0df9d993-171d-4d51-acae-e2c01f704177 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/hasPart https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/folders/2e59793e-1f55-4979-9e9f-283ddd627ee7 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/hasPart https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/folders/f77b0dc4-5a42-424c-868f-11600c55113f https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/identifier https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept Svalbard https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept data https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept dataset https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept diagram https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept fluorescence https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept information https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept mooring https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept nitrate https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept observatory https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept occupational overuse syndrome https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept sampler https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept sensor https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Concept temperature https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma CTD https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma Kongsfjorden Rijpfjorden Observatory Programme https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma data https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma diagram https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma fluorescence https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma mooring https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Lemma observatory https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#NASA space sciences https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Phrase SUNA nitrate sensor https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Phrase fluorescence data https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Phrase mooring diagram https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Phrase observatories consist https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Phrase observatory layout https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Sentence As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Sentence The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#Sentence This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#TimeReference 2015-2016 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://w3id.org/ro/earth-science#TimeReference Sep-2015-Aug-2016 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/f68b0cde-9eb9-4e5e-a13e-f980ee3ccbf5 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://w3id.org/contentdesc#Domain armed forces https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://w3id.org/contentdesc#Domain marine biology https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://w3id.org/contentdesc#Place Svalbard https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Finlo Cottier, Jørgen Berge, Colin Griffith, Estelle Dumont, John Beaton, Daniel Ludwig Vogedes, UiT The Arctic University of Norway (UiT), and Scottish Association for Marine Science (SAMS). "Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016." ROHub. 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L., UiT The Arctic University of Norway, Scottish Association for Marine Science (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016 [Data set]. Norstore. https://doi.org/10.11582/2021.00061 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://purl.org/dc/terms/rightsHolder Daniel Ludwig Vogedes https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00061 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/dateCreated 2021-07-12 00:00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/dateModified 2022-03-22 01:24:23.830029+00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2015-2016. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. For this deployment a RAS500 water sampler and a SUNA nitrate sensor were deployed for a specific project, data are not part of the long-term monitoring efforts and are available upon request. https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Kongsfjorden (Svalbard) marine observatory (mooring) September 2015-August 2016 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://schema.org/sdDatePublished 2021-07-12 00:00:00 https://w3id.org/ro-id/868972b2-e340-4007-8521-8f03b58cb7b9/resources/13fc32ae-47b5-49b8-a62d-6a0e512e68b5 http://www.w3.org/1999/02/22-rdf-syntax-ns#type 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https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/contentUrl https://api.rohub.org/api/ros/2eed7eb1-bb6d-4336-b4ec-b832d41270af/crate/download/ https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/dateCreated 2022-03-22 01:31:31.343064+00:00 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/dateModified 2025-03-05 02:47:05.411745+00:00 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/datePublished 2022-03-22 01:31:31.343064+00:00 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/ http://schema.org/description UiT&nbsp;The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund&nbsp;(Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an&nbsp;all sky&nbsp;camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards&nbsp;Brandalspynten. The array of sensors&nbsp;is mounted on a tripod under a transparent dome. This dataset contains the data of the&nbsp;hyperspectral radiometer&nbsp;USSIMO&nbsp;(In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling&nbsp;spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel&nbsp;spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: &lt;3% (0 - 60°), &lt;10% (60 - 87.5°), is fitted.&nbsp;The device&nbsp;acquired measurements with a&nbsp;16 bit&nbsp;analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample.&nbsp;The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. 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Cohen, David McKee, Geir Johnsen, Artur Zolich, Tomasz Piotr Kopec, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). "USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)." ROHub. 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H., McKee, D., Johnsen, G., Zolich, A., Kopec, T. P., Vogedes, D. L., UiT The Arctic University of Norway (2021).USSIMO spectroradiometer raw data time series (2019) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) [Data set]. Norstore. https://doi.org/10.11582/2021.00045 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00045 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/dateCreated 2021-05-19 00:00:00 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/dateModified 2022-03-22 01:32:34.318806+00:00 https://w3id.org/ro-id/2eed7eb1-bb6d-4336-b4ec-b832d41270af/resources/9bf17401-3cfa-4954-8e2d-50142abd80b0 http://schema.org/description UiT&nbsp;The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund&nbsp;(Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an&nbsp;all sky&nbsp;camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards&nbsp;Brandalspynten. The array of sensors&nbsp;is mounted on a tripod under a transparent dome. This dataset contains the data of the&nbsp;hyperspectral radiometer&nbsp;USSIMO&nbsp;(In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling&nbsp;spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel&nbsp;spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: &lt;3% (0 - 60°), &lt;10% (60 - 87.5°), is fitted.&nbsp;The device&nbsp;acquired measurements with a&nbsp;16 bit&nbsp;analogue to digital converter. 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https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/author mailto:tomasz.piotr.kopec@rohub.com https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/contentLocation https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/#2b40daef-2152-44ad-9a28-a0d37f288bec https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/contentSize 13206 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/contentUrl https://api.rohub.org/api/ros/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/crate/download/ https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/dateCreated 2022-03-22 01:32:35.810584+00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/dateModified 2025-03-05 02:47:05.631433+00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/datePublished 2022-03-22 01:32:35.810584+00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/description UiT&nbsp;The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund&nbsp;(Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an&nbsp;all sky&nbsp;camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards&nbsp;Brandalspynten. The array of sensors&nbsp;is mounted on a tripod under a transparent dome. This dataset contains the data of the&nbsp;hyperspectral radiometer&nbsp;USSIMO&nbsp;(In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling&nbsp;spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel&nbsp;spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: &lt;3% (0 - 60°), &lt;10% (60 - 87.5°), is fitted.&nbsp;The device&nbsp;acquired measurements with a&nbsp;16 bit&nbsp;analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample.&nbsp;The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time.&nbsp;The&nbsp;sensor is equipped with a&nbsp;pitch and roll sensor&nbsp;which&nbsp;is used to ensure&nbsp;that the spectroradiometer remains in the fixed position throughout the time-series acquisition.&nbsp;This dataset contains the 2020 data. https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/hasPart https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/folders/71c49f32-d326-4ea7-b6fe-39fc0dcc8f6d https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/hasPart https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/folders/9a8d8732-1130-4b69-9097-c9dcd1052fc9 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ http://schema.org/hasPart 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https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Jørgen Berge, Stephen Grant, Rune Bjørgum, Jonathan H. Cohen, David McKee, Geir Johnsen, Artur Zolich, Tomasz Piotr Kopec, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). "USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway)." ROHub. 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H., McKee, D., Johnsen, G., Zolich, A., Kopec, T. P., Vogedes, D. L., UiT The Arctic University of Tromsø (2021).USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) [Data set]. Norstore. https://doi.org/10.11582/2021.00046 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00046 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/dateCreated 2021-05-19 00:00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/dateModified 2022-03-22 01:33:42.099209+00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/description UiT&nbsp;The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund&nbsp;(Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an&nbsp;all sky&nbsp;camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards&nbsp;Brandalspynten. The array of sensors&nbsp;is mounted on a tripod under a transparent dome. This dataset contains the data of the&nbsp;hyperspectral radiometer&nbsp;USSIMO&nbsp;(In-situ Marine Optics, Perth, WA, Australia). It is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling&nbsp;spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel&nbsp;spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: &lt;3% (0 - 60°), &lt;10% (60 - 87.5°), is fitted.&nbsp;The device&nbsp;acquired measurements with a&nbsp;16 bit&nbsp;analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample.&nbsp;The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. Number of samples collected in that period depends on the USSIMO integration time.&nbsp;The&nbsp;sensor is equipped with a&nbsp;pitch and roll sensor&nbsp;which&nbsp;is used to ensure&nbsp;that the spectroradiometer remains in the fixed position throughout the time-series acquisition.&nbsp;This dataset contains the 2020 data. https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/name USSIMO spectroradiometer raw data time series (2020) measured under the dome of a light observatory in the Arctic (Ny-Ålesund, Svalbard, Norway) https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://schema.org/sdDatePublished 2021-05-19 00:00:00 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/resources/77f3471c-5480-4fdb-99e7-97d72352b6df https://schema.org/maintainer Daniel Ludwig Vogedes https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ro-crate-metadata.json http://purl.org/dc/terms/conformsTo https://w3id.org/ro/crate/1.1 https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ro-crate-metadata.json http://schema.org/about https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ https://w3id.org/ro-id/e4ed6bdc-327b-4a57-86c0-394bf4a37b3f/ro-crate-metadata.json http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/CreativeWork mailto:UiT@rohub.com http://schema.org/email UiT@rohub.com mailto:UiT@rohub.com http://schema.org/name UiT The Arctic University of Norway (UiT) mailto:UiT@rohub.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:artur.zolich@rohub.com http://schema.org/email artur.zolich@rohub.com mailto:artur.zolich@rohub.com http://schema.org/name Artur Zolich mailto:artur.zolich@rohub.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:daniel.ludwig.vogedes@rohub.com http://schema.org/email daniel.ludwig.vogedes@rohub.com mailto:daniel.ludwig.vogedes@rohub.com http://schema.org/name Daniel Ludwig Vogedes mailto:daniel.ludwig.vogedes@rohub.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:david.mckee@rohub.com http://schema.org/email david.mckee@rohub.com mailto:david.mckee@rohub.com http://schema.org/name David McKee mailto:david.mckee@rohub.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:geir.johnsen@rohub.com http://schema.org/email geir.johnsen@rohub.com mailto:geir.johnsen@rohub.com http://schema.org/name Geir Johnsen mailto:geir.johnsen@rohub.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:georgehadib@gmail.com http://schema.org/name Geo H. mailto:georgehadib@gmail.com http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent mailto:jonathan.h.cohen@rohub.com http://schema.org/email jonathan.h.cohen@rohub.com mailto:jonathan.h.cohen@rohub.com http://schema.org/name Jonathan H. 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https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. The mooring was deployed for 2 years due to heavy ice cover on Rijpfjorden in 2019 which made recovery impossible. It was equipped with 6 SBE37 to get a good picture of the water mass exchange throughout the water column. 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Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#Sentence The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#Sentence This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020. https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference 2018-2020 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference Aug-2018-Sep-2020 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference after 2 years https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference for 2 years https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference in 2019 which https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://w3id.org/ro/earth-science#TimeReference the 2018-2019 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/0bf6a835-85bd-4000-bb1d-2c6077e214bb https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ https://w3id.org/contentdesc#Domain armed forces https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ https://w3id.org/contentdesc#Place Svalbard https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Jørgen Berge, Finlo Cottier, Tomasz Piotr Kopec, Estelle Dumont, Emily Joanne Venables, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). 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P., Dumont, E., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2018-September 2020 [Data set]. Norstore. https://doi.org/10.11582/2021.00031 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00031 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/dateCreated 2021-04-26 00:00:00 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/dateModified 2022-03-22 01:40:00.650124+00:00 https://w3id.org/ro-id/4ff3f101-109b-4e35-babc-46862cd4d330/resources/aaf2e508-1a1a-4cbf-a3a5-e62d59daa139 http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2018-2020. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. The mooring was deployed for 2 years due to heavy ice cover on Rijpfjorden in 2019 which made recovery impossible. It was equipped with 6 SBE37 to get a good picture of the water mass exchange throughout the water column. 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https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://schema.org/datePublished 2022-03-22 01:49:03.345354+00:00 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. Together with the top and bottom SBE37 two plastic settlement plates had been deployed for a settlement experiment for the recruitment of benthic invertebrates. The sediment trap was mounted at 58m instead the usual depth of 100 m because of specific requirements for an experiment. 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Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://w3id.org/ro/earth-science#Sentence The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://w3id.org/ro/earth-science#Sentence This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015. https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://w3id.org/ro/earth-science#TimeReference 2014-2015 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://w3id.org/ro/earth-science#TimeReference Sep-2014-Sep-2015 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/1280bc3c-1c8e-41f1-be9b-3e605e49280a https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://w3id.org/contentdesc#Domain armed forces https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://w3id.org/contentdesc#Domain marine biology https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://w3id.org/contentdesc#Place Svalbard https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Jørgen Berge, Finlo Cottier, Estelle Dumont, John Beaton, Colin Griffith, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015." ROHub. 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L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015 [Data set]. Norstore. https://doi.org/10.11582/2021.00018 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://purl.org/dc/terms/rightsHolder Daniel Ludwig Vogedes https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00018 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/dateCreated 2021-03-22 00:00:00 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/dateModified 2022-03-22 01:49:53.563806+00:00 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2014-2015. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. Together with the top and bottom SBE37 two plastic settlement plates had been deployed for a settlement experiment for the recruitment of benthic invertebrates. The sediment trap was mounted at 58m instead the usual depth of 100 m because of specific requirements for an experiment. The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) September 2014-September 2015 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://schema.org/sdDatePublished 2021-03-22 00:00:00 https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/65a52384-b1db-4b77-ab42-d61b495ba937/resources/4ec8f174-369f-41c2-b1c9-76b61539e154 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01:51:43.001070+00:00 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. 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Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://w3id.org/ro/earth-science#Sentence The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://w3id.org/ro/earth-science#Sentence This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://w3id.org/ro/earth-science#TimeReference 2017-2018 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://w3id.org/ro/earth-science#TimeReference Aug-2017-Aug-2018 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/e1bb7d0c-c504-422b-a45e-3dbd5b72448d https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ https://w3id.org/contentdesc#Place Svalbard https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Jørgen Berge, Finlo Cottier, Tomasz Piotr Kopec, Estelle Dumont, Emily Joanne Venables, Daniel Ludwig Vogedes, and UiT The Arctic University of Norway (UiT). "Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018." ROHub. 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P., Dumont, E., Venables, E. J., Vogedes, D. L., UiT The Arctic University of Norway (2021).Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018 [Data set]. Norstore. https://doi.org/10.11582/2021.00017 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://purl.org/dc/terms/rightsHolder UiT The Arctic University of Norway (UiT) https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00017 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/dateCreated 2021-03-12 00:00:00 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/dateModified 2022-03-22 01:52:37.735565+00:00 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/description As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided. https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/name Temperature, salinity, light and fluorescence (CTD) measurements from the Rijpfjorden (Svalbard) marine observatory (mooring) August 2017-August 2018 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://schema.org/sdDatePublished 2021-03-12 00:00:00 https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/2939a6bb-c42b-4c16-af6a-a56cc065079b/resources/dbae7c5c-1849-4f0b-83ce-ce37a1649579 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https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://schema.org/name Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/f7002b1d-65c6-4458-9cf7-c54a1f7585b9 https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/cb7986b3-a55f-4281-af69-7269917b8a02/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset 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"Frequency and trends in cold and warm spells in Norway in relation to large-scale atmospheric circulation." ROHub. 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Supplementary Data to Undheim and Jenner, Nat. 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Commun https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Phrase SRA transcriptome assembly https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Phrase custom sequence database https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Phrase data to Undheim https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Phrase supplementary data https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Sentence Custom sequence database from assembled NCBI SRA reads. https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Sentence SRA transcriptome assemblies. https://w3id.org/ro-id/d6328caa-df3b-4b17-9595-d2e361dfccf1/ http://w3id.org/ro/earth-science#Sentence Supplementary Data to Undheim and Jenner, Nat. 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"SRA transcriptome assemblies." ROHub. 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(2020).SRA transcriptome assemblies [Data set]. 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https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/dateModified 2025-03-05 00:59:11.026646+00:00 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/datePublished 2022-03-22 01:55:23.106126+00:00 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/description Global (diffuse and direct) shortwave downwelling radiation at the surface between year 1961 and 2014. A total of 1847 ground stations from GEBA archive has been selected and been through the machine learning technique "random forests" (Breiman, 2001) to fill gaps in from original GEBA dataset. A report on the gap filling process can be attained by e-mailing Trude Storelvmo (LINK: mailto:truds@uio.no). https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/hasPart https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/folders/2a9a6cca-57c3-442f-aeda-2daa3660dd06 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/hasPart https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/folders/81fe389f-8173-42ec-8686-70ddbc24137d https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/hasPart https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/folders/987cc988-96b6-4e87-997d-40613975150c https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/hasPart https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/folders/e4b38fbe-c702-451d-88ae-27c8fd2d00d6 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/identifier https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://schema.org/name Gap filled GEBA data https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Trude Storelvmo. "Gap filled GEBA data." ROHub. 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(2020).Gap filled GEBA data [Data set]. Norstore. https://doi.org/10.11582/2020.00066 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://purl.org/dc/terms/rightsHolder Trude Storelvmo https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2020.00066 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/dateCreated 2020-12-21 00:00:00 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/dateModified 2022-03-22 01:55:40.621748+00:00 https://w3id.org/ro-id/46f90d7b-1e36-4701-9acd-2681dfe565a6/resources/eddc323d-f39a-4d86-9aac-b156db3b5c22 http://schema.org/description Global (diffuse and direct) shortwave downwelling radiation at the surface between year 1961 and 2014. A total of 1847 ground stations from GEBA archive has been selected and been through the machine learning technique "random forests" (Breiman, 2001) to fill gaps in from original GEBA dataset. 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Norstore. https://doi.org/10.11582/2020.00063 https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://purl.org/dc/terms/rightsHolder University Centre in Svalbard (UNIS) https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://purl.org/dc/terms/type Observation https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2020.00063 https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/dateCreated 2020-12-09 00:00:00 https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/dateModified 2022-03-22 01:56:01.214326+00:00 https://w3id.org/ro-id/271b95da-7537-43a1-b65b-a5d84f2227ab/resources/8345940c-d392-41b9-970e-32e0c2fa50f0 http://schema.org/description The Isfjorden-Adventfjorden (IsA) time series station is a marine station operated by the University Centre in Svalbard (UNIS). 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9478 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/contentUrl https://api.rohub.org/api/ros/b7df46c2-d54e-4cf0-8600-36516706cfbe/crate/download/ https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/dateCreated 2022-03-22 02:18:37.698329+00:00 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/dateModified 2025-03-05 00:45:29.658387+00:00 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/datePublished 2022-03-22 02:18:37.698329+00:00 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ http://schema.org/description Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements. For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to LINK: mailto:reza.611@gmail.com. ### Please see the file "file_organisations" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. 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https://w3id.org/ro-id/6f457be9-fb82-4597-80a3-bf0c1a8faa75 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ https://w3id.org/ro/terms/earth-science#Sentence https://w3id.org/ro-id/f43a3122-c71d-487c-bf34-0aea1c6a60d1 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Nathalie Reuter. "2016_Khan_etal_JCTC." ROHub. 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(2021).2016_Khan_etal_JCTC [Data set]. Norstore. https://doi.org/10.11582/2021.00103 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://purl.org/dc/terms/rightsHolder Nathalie Reuter https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00103 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/dateCreated 2021-11-22 00:00:00 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/dateModified 2022-03-22 02:18:56.113155+00:00 https://w3id.org/ro-id/b7df46c2-d54e-4cf0-8600-36516706cfbe/resources/22ae6ed1-8e63-41d6-9106-e8f4d1cb5c26 http://schema.org/description Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements. For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to <a href="mailto:reza.611@gmail.com" class="linkified" target="_blank">LINK</a>. ### Please see the file "file_organisations" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. 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For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to LINK: mailto:reza.611@gmail.com. ### Please see the file "file_organisations" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. 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(2021).2019_Khan_etal_JCTC [Data set]. Norstore. https://doi.org/10.11582/2021.00104 https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://purl.org/dc/terms/rightsHolder Nathalie Reuter https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00104 https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/dateCreated 2021-11-22 00:00:00 https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/dateModified 2022-03-22 02:19:16.071315+00:00 https://w3id.org/ro-id/6d7f7856-f2c8-4172-9a35-ef22b6cc4561/resources/d429730d-0d92-45e0-8dec-7729b90a2ab9 http://schema.org/description Results for Tyrosine-choline, Phenylalanine-choline and Tryptophan-choline force field improvements. For ease of processing, results from both works are kept together. Results are divided in QM calculations+force field comparison and improvements, and force field parameter validations. If you have trouble navigating, please send email to <a href="mailto:reza.611@gmail.com" class="linkified" target="_blank">LINK</a>. ### Please see the file "file_organisations" for the directories and subdirectories. # Results files are organised based on QM calculations and force field comparisons (also improvements), and Parameters validations where you have the test cases. For the QM calculations, they are based on the softwares and methods used. PSI4 directories for energy decompositions and SAPT methods, further divided in subdiectories. NWCHEM is for all other QM methods, and those can be differentiated by the dircetoty names which contains the method (DFT, MP2, CCSD(T)) and basis sets. CHARMM* directories contains the force field comparison vs the improvements test. The Khan_etal_JCTC_2016 paper contains phenol-TMA and benzene-TMA cases. The Khan_etal_JCTC_2019 contains the indole-TMA case. For the QM part, benzene-tma and indole-tma directories have naming explicitly (i.e. NWCHEM_cat_pi_benzene_tma/, PSI4_calc_benzene_tma/, CHARMM_pes_cat_pi_benzene_tma/). For phenol-TMA, look at the *_RESTART directories; these are the production ones for CHARMM and NWCHEM cases. For PSI4, it is PSI4_calc/). Other directories are old tests with different PES conditions (relaxation etc.). I did not remove them for my personal reference. # For the Parameters validations, reboot_piplc-dmpc/ is the test case for Khan_etal_JCTC_2016; all others are for Khan_etal_JCTC_2019. ### Manuscripts files are seperated for both these works in the main directories with submission files and figures. The raw data are also there. You will also find the raw data in the different results subdirectories. *** I am writing this very quickly, so some explanations might not be obvious. 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https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/author mailto:emmanuel.moutoussamy@rohub.com https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/contentSize 7833 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/contentUrl https://api.rohub.org/api/ros/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/crate/download/ https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/dateCreated 2022-03-22 02:19:17.388294+00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/dateModified 2025-03-05 01:19:14.776191+00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/datePublished 2022-03-22 02:19:17.388294+00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://schema.org/description This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions. The enzymes simulated are Li_alphaIA1, St_beta1B1, Ll_alphaIII and R44Y/S60Y St_beta1B1. The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer. The trajectories are in DCD format and the topology file in PSF format.The following simulations are available: 1. Li_alphaIA1 on a pure POPC bilayer; 2. Li_alphaIA1 on a PC:SM:CHOL (70:20:10) bilayer; 3. Li_alphaIA1 on a POPC:POPE (50:50) bilayer; 4. Ll_alphaIII on a pure POPC bilayer; 5. Ll_alphaIII on a PC:SM:CHOL (70:20:10) bilayer; 6. R44Y/S60Y St_beta1B1 on a pure POPC bilayer; 7. St_beta1B1 on a pure POPC bilayer; 8. St_beta1B1 on a PC:SM:CHOL (70:20:10) bilayer; 9. 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http://w3id.org/ro/earth-science#IPTC Pope https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#IPTC Religious leader https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma POPC https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma S60Y St_beta1B1 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma bilayer https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma clade https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma enzyme https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma lipid https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Lemma phospholipase https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#NASA chemistry and materials https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Phrase Loxosceles phospholipase d enzyme https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Phrase POPC bilayer https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Phrase bilayer composition https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Phrase choline-containing lipid https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Phrase pure POPC https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Sentence Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Sentence The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://w3id.org/ro/earth-science#Sentence This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ https://w3id.org/contentdesc#Domain biochemistry https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Emmanuel Moutoussamy. "Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage." ROHub. Mar 22 ,2022. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9. https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/188e6998-8876-4e08-8b46-217fd3579a1a http://schema.org/name metadata https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/188e6998-8876-4e08-8b46-217fd3579a1a http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/188e6998-8876-4e08-8b46-217fd3579a1a http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/3403b3e4-0999-4ad1-b16e-f8530ba05ef6 http://schema.org/name biblio https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/3403b3e4-0999-4ad1-b16e-f8530ba05ef6 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/3403b3e4-0999-4ad1-b16e-f8530ba05ef6 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/91a181ac-c00d-4449-8d76-88a2094dc49e http://schema.org/hasPart https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/91a181ac-c00d-4449-8d76-88a2094dc49e http://schema.org/name data https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/91a181ac-c00d-4449-8d76-88a2094dc49e http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/91a181ac-c00d-4449-8d76-88a2094dc49e http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/9f89a068-45d8-4c04-be8c-3ba7172c2ab8 http://schema.org/name raw data https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/9f89a068-45d8-4c04-be8c-3ba7172c2ab8 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Folder https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/folders/9f89a068-45d8-4c04-be8c-3ba7172c2ab8 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://purl.org/dc/terms/bibliographicCitation Moutoussamy, E. (2021).Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage [Data set]. Norstore. https://doi.org/10.11582/2021.00099 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://purl.org/dc/terms/rightsHolder Nathalie Reuter https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00099 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/dateCreated 2021-11-19 00:00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/dateModified 2022-03-22 02:19:33.483910+00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/description This dataset contains molecular dynamic simulation data of Loxosceles phospholipase D enzymes, of both clades, in presence of different bilayer compositions. The enzymes simulated are Li_alphaIA1, St_beta1B1, Ll_alphaIII and R44Y/S60Y St_beta1B1. The bilayers are used are a pure POPC, PC:SM:CHOL (70:20:10) and POPC:POPE (50:50) bilayer. The trajectories are in DCD format and the topology file in PSF format.The following simulations are available: 1. Li_alphaIA1 on a pure POPC bilayer; 2. Li_alphaIA1 on a PC:SM:CHOL (70:20:10) bilayer; 3. Li_alphaIA1 on a POPC:POPE (50:50) bilayer; 4. Ll_alphaIII on a pure POPC bilayer; 5. Ll_alphaIII on a PC:SM:CHOL (70:20:10) bilayer; 6. R44Y/S60Y St_beta1B1 on a pure POPC bilayer; 7. St_beta1B1 on a pure POPC bilayer; 8. St_beta1B1 on a PC:SM:CHOL (70:20:10) bilayer; 9. St_beta1B1 on a POPC:POPE (50:50) bilayer; https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/name Specificity of Loxosceles alpha clade phospholipase D enzymes for choline-containing lipids: role of a conserved aromatic cage https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://schema.org/sdDatePublished 2021-11-19 00:00:00 https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/d5486b94-4c58-4cb4-8b1e-6945adf5eba9/resources/acc69a5a-2940-4049-9907-4812c8b3369e http://www.w3.org/1999/02/22-rdf-syntax-ns#type 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https://api.rohub.org/api/ros/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/crate/download/ https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/ http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/ http://schema.org/dateCreated 2022-03-22 02:21:05.280489+00:00 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/ http://schema.org/dateModified 2025-03-05 00:50:09.588296+00:00 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/ http://schema.org/datePublished 2022-03-22 02:21:05.280489+00:00 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/ http://schema.org/description Data created for Marius Julian Grønli’s Master thesis at the Department of Geosciences at the University of Oslo fall 2021. Title: Quantitative back calculation of three debris flows in western Norway Dataset includes: GNSS measurements of three debris flows on the west coast of Norway. Logged perimeter with 15 m increments and several profiles across the flow paths. Grain size distribution, angle of repose for several soil samples at each study site. Including samples of slide deposits and Origin material. RAMMS simulations of the three events with varying input parameters. Each data type has a documentation file explaining the workflow of each data set. 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"Debris flow field observations and RAMMS back calculations." ROHub. 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J. (2021).Debris flow field observations and RAMMS back calculations [Data set]. Norstore. https://doi.org/10.11582/2021.00092 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://purl.org/dc/terms/rightsHolder Marius Julian Grønli https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00092 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/dateCreated 2021-10-14 00:00:00 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/dateModified 2022-03-22 02:21:24.160454+00:00 https://w3id.org/ro-id/fc0d05e2-f5b4-4b47-b520-ea9d05d9f707/resources/151c1dbf-6df9-414d-ad9b-a72149a03281 http://schema.org/description Data created for Marius Julian Grønli’s Master thesis at the Department of Geosciences at the University of Oslo fall 2021. Title: Quantitative back calculation of three debris flows in western Norway Dataset includes: GNSS measurements of three debris flows on the west coast of Norway. Logged perimeter with 15 m increments and several profiles across the flow paths. Grain size distribution, angle of repose for several soil samples at each study site. Including samples of slide deposits and Origin material. RAMMS simulations of the three events with varying input parameters. Each data type has a documentation file explaining the workflow of each data set. 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https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/dateCreated 2022-03-22 02:21:47.331157+00:00 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/dateModified 2025-03-05 00:56:57.081384+00:00 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/datePublished 2022-03-22 02:21:47.331157+00:00 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/description This dataset contains the model output (atmospheric component only) used in Blichner, S. M., Sporre, M. K., and Berntsen, T. K.: Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model, Atmos. Chem. Phys., LINK: http://doi.org/10.5194/acp-2021-151, accepted, 2021. See LINK: http://github.com/sarambl/OAS-ERF for analysis code. https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/hasPart https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/folders/09c868ee-40c9-4c3b-8355-2cd71e2db63b https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/hasPart https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/folders/bbcb45c4-76da-45ca-93db-b23a0404a02d https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/hasPart https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/folders/e997d940-682a-43e6-9e93-f7c38c6aeb67 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/hasPart https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/folders/f083a80d-88b7-4cfc-88a8-2042999cefb9 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/identifier https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://schema.org/name Model output for "Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model" https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept aerosol https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept cloud https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept interaction https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept output https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept radiative forcing https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept therapy https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Concept tumor https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#IPTC Therapy https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma T. K. Reduced https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma aerosol https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma cloud https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma growth https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma interaction https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma radiative forcing https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Lemma treatment https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#NASA mathematical and computer sciences https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Phrase Chem. Phys https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Phrase aerosol growth https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Phrase cloud-aerosol interaction https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Phrase improved treatment https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Phrase model output https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Sentence Blichner, S. M. Sporre, M. K. and Berntsen, T. K. Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model, Atmos. https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Sentence Model output for "Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model" This dataset contains the model output (atmospheric component only) used in https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://w3id.org/ro/earth-science#Sentence See LINK: http: github.com/sarambl/OAS-ERF for analysis code. https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ https://w3id.org/contentdesc#Domain physics https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Sara Blichner, and University of Oslo (UiO). "Model output for "Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model"." ROHub. 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Norstore. https://doi.org/10.11582/2021.00087 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://purl.org/dc/terms/rightsHolder Sara Marie Blichner https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00087 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/dateCreated 2021-10-11 00:00:00 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/dateModified 2022-03-22 02:22:11.450221+00:00 https://w3id.org/ro-id/c35062bf-df50-4667-b876-e5c69570125c/resources/eebbeff0-7418-4d81-8d40-9b54ec970354 http://schema.org/description This dataset contains the model output (atmospheric component only) used in Blichner, S. M., Sporre, M. K., and Berntsen, T. K.: Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model, Atmos. Chem. Phys., <a href="http://doi.org/10.5194/acp-2021-151" class="linkified" target="_blank">LINK</a>, accepted, 2021. 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"Subset of the AFES simulations used for doi 10.5194/wcd-2020-50." ROHub. 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This is a database of in silico generated antibody-antigen bindings (159 antigens times 6.9 million CDRH3 murine sequences), as resource for benchmarking machine learning methods. 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"Absolut! in silico antibody-antigen binding database." ROHub. 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(2021).Absolut! in silico antibody-antigen binding database [Data set]. Norstore. https://doi.org/10.11582/2021.00063 https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://purl.org/dc/terms/rightsHolder University of Oslo (UiO) https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://purl.org/dc/terms/type Simulation https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00063 https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/dateCreated 2021-07-12 00:00:00 https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/dateModified 2022-03-22 02:24:50.074536+00:00 https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/description This is a database of in silico generated antibody-antigen bindings (159 antigens times 6.9 million CDRH3 murine sequences), as resource for benchmarking machine learning methods. The content of the files is explained in Readme.pdf The reference publication is available on biorxiv, ID BIORXIV/2021/451258: Robert et al., A billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction The software used to generate the database is available at <a href="http://github.com/csi-greifflab/Absolut" class="linkified" target="_blank">LINK</a> for all explanations. https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/name Absolut! in silico antibody-antigen binding database https://w3id.org/ro-id/71c90c65-34e6-441e-bb44-d1b31dd1007b/resources/f1c05bbd-e176-46ec-b93f-7089f0df7b0f http://schema.org/sdDatePublished 2021-07-12 00:00:00 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is the Mogi (1958) model. 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"Mogi model (1958)." ROHub. 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"Mogi model (1958)." ROHub. 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https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/ https://w3id.org/ro/terms/earth-science#Sentence https://w3id.org/ro-id/4bd9a70d-6536-441a-a7c9-b4dce10aad43 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/ https://w3id.org/ro/terms/earth-science#Sentence https://w3id.org/ro-id/d6dd5213-b29f-4388-a307-d7db7620f6b7 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Mariacristina PRAMPOLINI, Mariacristina PRAMPOLINI, and Valentina Grande. "Substrate and benthic habitat map of the southern Adriatic Sea (Italy) using RSOBIA - Supplementary material." ROHub. 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https://orcid.org/0000-0002-0408-4411 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://schema.org/dateCreated 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://schema.org/dateModified 2022-03-24 13:16:58.216770+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://schema.org/name Bathymetry MAGIC0910 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://schema.org/sdDatePublished 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/23eb728f-bad5-4e04-9d8f-74ce26c9fb19 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/author https://orcid.org/0000-0002-0408-4411 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/contentUrl http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/eng/catalog.search#/metadata/9acb93d8-b520-42cc-8663-ea37390b7cb2 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/creator https://orcid.org/0000-0002-0408-4411 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/dateCreated 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/dateModified 2022-03-24 13:16:57.940864+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/name Bathymetry ARCADIA https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://schema.org/sdDatePublished 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/2830fa66-b44a-4f93-b3eb-cd12b1190594 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/author https://orcid.org/0000-0002-0408-4411 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/contentUrl http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/eng/catalog.search#/metadata/41073552-bec2-45d4-8735-ab066908fdc9 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/creator https://orcid.org/0000-0002-0408-4411 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/dateCreated 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/dateModified 2022-03-24 13:16:58.073162+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/name Bathymetry MAGIC0709-ADRIA https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://schema.org/sdDatePublished 2021-04-29 14:17:24.578000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Dataset https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/38098fee-f68e-4e69-9ee5-5b5ee567fe7c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/author https://orcid.org/0000-0002-3489-268X https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/contentSize 1433 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/contentUrl https://api.rohub.org/api/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22/download/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/creator https://orcid.org/0000-0002-3489-268X https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/dateCreated 2021-05-04 13:01:48.522000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/dateModified 2022-03-24 13:17:09.986181+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/description A huge amount of multibeam backscatter data has been acquired from the east to the west side of thein the southern Adriatic Sea in the last 15 years and coveringby CNR –ISMAR. from the continental shelf down to the basin floor, from the west to east side of the Adriatic Basin. These data have been used for geological, biological and habitat mapping purposes, but a single and consistent interpretation of all the acquired backscatter data has never been carried out. Here, we aimed at coherently interpreting the seafloor reflectivity datasets in order to produce aseabed and benthic habitat maps of the southern Adriatic Sea showing the spatial distribution of substrate and sediment type and grain size within the basin. The methodology here applied consists of a semi-automated classification of backscatter images through object-based image analysis (OBIA) performed through the ArcGIS tool RSOBIA (Remote Sensing OBIA). This unsupervised image segmentation was carried out on each backscatter dataset separately and then validated through comparison with bottom samples and images acquired during the different oceanographic cruises. The substrate was then classified following the a classification scheme proposed within the CoCoNet specifically elaborated in-house project. The results were described and discussed as well as the methodology applied and the significance of the backscatter data in general. https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/encodingFormat text/plain https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/name Abstract of the scientific paper https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://schema.org/sdDatePublished 2021-05-04 13:01:48.522000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/49fedaac-e090-4cd1-8709-f0e7cc314b22 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roterms#Hypothesis 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https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://schema.org/creator https://orcid.org/0000-0002-3489-268X https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://schema.org/dateCreated 2021-05-04 12:58:45.722000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://schema.org/dateModified 2022-03-24 13:17:01.157003+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://schema.org/description http://libeccio.bo.ismar.cnr.it:8080/geonetwork/srv/ita/catalog.search#/metadata/a99af2f9-a4d5-4c57-9477-b01935bed0e8 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://schema.org/encodingFormat application/pdf 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https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/51d0e2aa-38ce-462d-ae38-148baa2ddd52 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://purl.org/wf4ever/wfprov#wasOutputFrom https://www.mdpi.com/2072-4292/13/15/2913 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/author https://orcid.org/0000-0002-3489-268X https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/contentSize 201216 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/contentUrl https://api.rohub.org/api/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a/download/ https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/creator https://orcid.org/0000-0002-3489-268X https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/dateCreated 2021-05-04 12:14:22.858000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/dateModified 2022-03-24 13:16:55.387554+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/588e8076-6ffb-40fb-ae05-7f43a8e8153a http://schema.org/description The workflow consits of three steps: 1. RSOBIA segmentation Segmentation is a method to aggregate pixels together to create a thematic map. The segmentation process is a licensed tool taking a multi-layered image and creates a set of polygons defined by the statistics associated with the layered image. Clusters of the imagery pixels are created in n-dimensional space and created into classes. Aggregation into geographic regions (polygons) is done according to a minimum polygon size rule, and clustering rules. Input is a single multi-layered file – not a geodatabase. Output is a single polygon vector shapefile and its default filename is the same as the input basename but with a different filetype. 2.Add Segment Attributes Following segmentation, the attributes for each polygon only relate to the polygon shape and class. It is often required to view and use the values of initial raster layers. These can be aggregated for each polygon as an attribute value of the mean and standard deviation of the pixel values within the polygon for each layer. 3. GroundTruth Samples The attributes for each polygon can be extended if groundtruth point data is available. This is a very simple join of two datasets and effectively adds the attributes of a groundtruth data point to the relevant polygon. In this way the samples may be utilised to characterise the class type. Some polygons may not have groundtruth samples and will therefore be left blank. 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substrates and benthic habitats https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/da5ca13c-7abe-4245-8bc4-d3215e52791a http://schema.org/sdDatePublished 2021-05-31 13:53:02.389000+00:00 https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/da5ca13c-7abe-4245-8bc4-d3215e52791a http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/da5ca13c-7abe-4245-8bc4-d3215e52791a http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ImageObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/da5ca13c-7abe-4245-8bc4-d3215e52791a http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/a21484de-74d2-4fd0-9518-d3faa42130ad/resources/ed3bd8c8-2411-4818-ab51-92c37623f439 http://schema.org/author https://orcid.org/0000-0002-0408-4411 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Benthic Habitat Map of the Southern Adriatic Sea (Mediterranean Sea) from Object-Based Image Analysis of Multi-Source Acoustic Backscatter Data. 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https://w3id.org/contentdesc#Expression http://w3id.org/ro-id/rohub/model#subject/776710969 http://www.w3.org/2004/02/skos/core#prefLabel seabed Estimation https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/#enrichment_service-account-enrichment http://schema.org/name service-account-enrichment https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/#enrichment_service-account-enrichment http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://purl.org/pav/importedBy mailto:service-account-generation-service https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/author http://everest.psnc.pl/users/giorgio.castellan https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/contentSize 3397641 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/contentUrl https://api.rohub.org/api/ros/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/crate/download/ https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/creator http://everest.psnc.pl/users/giorgio.castellan https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/dateCreated 2021-04-29 14:00:35.810000+00:00 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/dateModified 2025-03-05 00:51:30.258243+00:00 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/datePublished 2021-04-29 14:00:35.810000+00:00 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/description Estimation of PAR light reaching the seabed in the Mediterranean Sea https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/hasPart https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/folders/45822521-5716-421b-8756-229ec70e5e42 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/hasPart https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/folders/519b974c-7191-4c79-8bc7-ffbdccaf9e98 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/hasPart https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/folders/c451484a-74db-41af-891a-a20eb41fc8ba https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/hasPart https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/folders/c742b64c-702d-48df-a71e-9b3604fd7edf https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/identifier https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856 https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/keywords Mesophotic Zone, Light at seabed, Mediterranean Sea https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://schema.org/name Estimation of light at seabed https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/null https://w3id.org/ro-id/41a2f46e-9d0e-4bba-ac26-87c7a0ae3856/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Giorgio Castellan. "Estimation of light at seabed." ROHub. 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https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/contentSize 9986 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/contentUrl https://api.rohub.org/api/ros/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/crate/download/ https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/creator https://orcid.org/0000-0002-4704-6802 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/dateCreated 2021-03-11 14:18:55.068000+00:00 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/dateModified 2025-03-05 01:17:00.319175+00:00 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/datePublished 2021-03-11 14:18:55.068000+00:00 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (EKG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including: amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, Psychophysiology of Positive and Negative Emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their own analyses, corroborate their results, and create robust psychophysiological models of emotions. https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/hasPart https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/folders/03f6a287-8b12-4fd3-855d-80d774b6b00c https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/hasPart https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/folders/271df740-6ede-4eba-9463-476ac43886e8 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/hasPart https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/folders/447c68b0-26f2-499c-bd1b-8fef9c4c9193 https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://schema.org/hasPart 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https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Phrase electrodermal activity https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Phrase models of emotion https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Phrase subjective experience https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Sentence To the best of our knowledge, Psychophysiology of Positive and Negative Emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Sentence We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their own analyses, corroborate their results, and create robust psychophysiological models of emotions. https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://w3id.org/ro/earth-science#Sentence We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#SnapshotRO https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/POPANE-snapshot/ https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ https://w3id.org/contentdesc#Domain psychology https://w3id.org/ro-id/6a6127bb-03b0-4d0c-a5a9-52cfd0913fd4/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Szymon KupiÅ?ski. "Psychophysiology of Positive and Negative Emotions (POPANE) – a dataset of over 1000 participants." ROHub. 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We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (EKG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including: amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, Psychophysiology of Positive and Negative Emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. 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https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://w3id.org/ro/earth-science#Sentence We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#SnapshotRO https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ https://w3id.org/contentdesc#Domain psychology https://w3id.org/ro-id/fb39cfdd-d93a-4f89-af5f-2c944b85c05d/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Szymon KupiÅ?ski. 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https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/contentUrl https://api.rohub.org/api/ros/a3a81739-a5b7-4897-b732-7aba23d6fa5a/crate/download/ https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/creator https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/dateCreated 2021-03-11 13:07:59.683000+00:00 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/dateModified 2025-03-05 01:14:11.927117+00:00 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/datePublished 2021-03-11 13:07:59.683000+00:00 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/hasPart https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/folders/1acbaa0f-a556-4db4-9f34-facff9c7e3eb https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/hasPart https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/folders/784698d7-52ef-4848-9ba5-fde7307a0175 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/hasPart https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/folders/d0b652a8-c923-4338-9329-2748e88ab632 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/hasPart https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/folders/fa341e1e-81a3-429b-bd12-6a303b3cb9c4 https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/hasPart https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/resources/8d3bb9fc-ec66-4067-a4fd-e95eb17152fb https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/identifier https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://schema.org/name POPANE DATASET - Psychophysiology Of Positive And Negative Emotions https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#SnapshotRO https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/POPANE-1-snapshot-1/ https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ http://www.w3.org/ns/prov#wasRevisionOf https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a https://w3id.org/ro-id/a3a81739-a5b7-4897-b732-7aba23d6fa5a/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Maciej Behnke. "POPANE DATASET - Psychophysiology Of Positive And Negative Emotions." ROHub. 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https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/contentSize 9801 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/contentUrl https://api.rohub.org/api/ros/78c3584e-592e-4af6-bf23-605e8a1b84c0/crate/download/ https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/creator https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/dateCreated 2021-03-11 13:05:41.562000+00:00 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/dateModified 2025-03-05 01:14:12.643536+00:00 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/datePublished 2021-03-11 13:05:41.562000+00:00 https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/78c3584e-592e-4af6-bf23-605e8a1b84c0/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. 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"POPANE DATASET - Psychophysiology Of Positive And Negative Emotions." ROHub. 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https://api.rohub.org/api/ros/a415c54e-7d07-43c8-bcbe-1f76220f473f/crate/download/ https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/creator https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/dateCreated 2021-03-11 13:04:33.909000+00:00 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/dateModified 2025-03-05 01:14:12.144536+00:00 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/datePublished 2021-03-11 13:04:33.909000+00:00 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/hasPart https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/folders/2e312f98-8e99-4cd6-ba18-5d3b9b43124e https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/hasPart https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/folders/9d4cbd37-6d17-48fb-9fe6-199043d257af https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/hasPart https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/folders/a4520abf-e864-4ba1-83ac-287af2060ac3 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/hasPart https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/folders/dc579439-da22-4613-8312-44a651043ba6 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/hasPart https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/resources/743c67e0-7a11-46ed-afb4-11bd5f662339 https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/identifier https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://schema.org/name POPANE DATASET - Psychophysiology Of Positive And Negative Emotions https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#SnapshotRO https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/a415c54e-7d07-43c8-bcbe-1f76220f473f/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Maciej Behnke. "POPANE DATASET - Psychophysiology Of Positive And Negative Emotions." ROHub. 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http://purl.org/wf4ever/roevo#hasSnapshot http://sandbox.rohub.org/rodl/ROs/POPANE-1-snapshot-1/ https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://purl.org/wf4ever/roevo#hasSnapshot http://sandbox.rohub.org/rodl/ROs/POPANE-1-snapshot-2/ https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://purl.org/wf4ever/roevo#hasSnapshot http://sandbox.rohub.org/rodl/ROs/POPANE-1-snapshot/ https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/about http://eurovoc.europa.eu/3282 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/author https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/contentSize 8850 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/contentUrl https://api.rohub.org/api/ros/9bf840e3-7a39-41fc-be39-7eed9dc294db/crate/download/ https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/creator https://orcid.org/0000-0002-2455-4556 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/dateCreated 2021-03-11 12:48:21.251000+00:00 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/dateModified 2025-03-05 01:14:11.720011+00:00 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/datePublished 2021-03-11 12:48:21.251000+00:00 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/description Subjective experience along with physiological activity are fundamental components of emotional responding. We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (ECG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, psychophysiology of positive and negative emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their analyses, corroborate their results, and create robust psychophysiological models of emotions. The individuals data are openly available in POPANE dataset at https://data.psychosensing.psnc.pl/popane/index.html. https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/hasPart https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/folders/22d9141e-0466-41c5-92c4-1429745c0fb5 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/hasPart https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/folders/b18404e5-d43f-4941-b48f-d34824fb4d1a https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/hasPart https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/folders/c22bad10-a38c-46ca-9d00-f5067b9c1008 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/hasPart https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/folders/dd8e31ae-c297-4c34-9e4f-f55ec1bf1659 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/hasPart https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/resources/3fcd7e4d-86fc-400a-80ab-756e677a5559 https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/identifier https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://schema.org/name POPANE DATASET - Psychophysiology Of Positive And Negative Emotions https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/9bf840e3-7a39-41fc-be39-7eed9dc294db/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Maciej Behnke. "POPANE DATASET - Psychophysiology Of Positive And Negative Emotions." ROHub. 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We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. In our studies were continuously recorded affect and physiological activity during resting baseline and emotional responding. We recorded physiological responses using electrocardiography (EKG), impedance cardiography (ICG), electrodermal activity (EDA), photoplethysmography (PPG, the blood pressure measures), respiratory, and temperature sensors. In our studies, we elicited emotions with films, pictures, speech preparation, and expressive writing. We studied a wide range of positive and negative emotions, including: amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. To the best of our knowledge, Psychophysiology of Positive and Negative Emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. 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https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Phrase electrodermal activity https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Phrase models of emotion https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Phrase subjective experience https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Sentence To the best of our knowledge, Psychophysiology of Positive and Negative Emotions (POPANE) database is the largest, consistent psychophysiological dataset on emotions ever collected and publicly shared. https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Sentence We hope that POPANE will provide individuals, companies, and laboratories with the data they need to perform their own analyses, corroborate their results, and create robust psychophysiological models of emotions. https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://w3id.org/ro/earth-science#Sentence We present a publicly available dataset of psychophysiological responses to positive and negative emotions of 1157 healthy participants, collected across seven studies. https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#DataResearchObject https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ https://w3id.org/contentdesc#Domain medicine https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ https://w3id.org/contentdesc#Domain psychology https://w3id.org/ro-id/acfec1a0-48af-48c3-9083-3c1969a31c21/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Szymon KupiÅ?ski. "Psychophysiology of Positive and Negative Emotions (POPANE) – a dataset of over 1000 participants." ROHub. 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https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#IPTC Canoeing https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma Sonic Kayak https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma data https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma feedback https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma hydrophone https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma real time https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma sensor https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Lemma speaker https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#NASA engineering https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Phrase Sonic Kayak system https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Phrase real time feedback https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Phrase recording data https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Phrase temperature sensor https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Phrase time and date https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Sentence Data is sonified through an onboard speaker allowing paddlers to seek out areas of interest and gain real time feedback of the data. https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Sentence The Sonic Kayak system is a low cost open hardware for gathering and mapping fine-scale marine environmental data, which has not been previously possible to obtain. https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://w3id.org/ro/earth-science#Sentence The system currently includes underwater temperature sensors and a hydrophone for measuring underwater sound, each recording data every second with GPS, time and date. https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ https://w3id.org/contentdesc#Domain computer science https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ https://w3id.org/contentdesc#Domain electronics https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Esteban Gonz��lez. "Sonic Kayacs." ROHub. 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Originally this approach came from a sound art project (Kaffe Matthews’ Sonic Bikes), but we realised it could also be useful for researchers to be able to follow data or seek out particular environments through sound, and along the way we gathered interest from the visually impaired community for using the sounds to augment their kayaking experience or guide navigation on the water. https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/resources/c22c9d08-13f6-4dd6-b986-e19e8c7bcef6 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/resources/c22c9d08-13f6-4dd6-b986-e19e8c7bcef6 http://schema.org/name Sonic Kayak environmental data sonification https://w3id.org/ro-id/e3d872de-a4bd-4803-bf31-5395d4748905/resources/c22c9d08-13f6-4dd6-b986-e19e8c7bcef6 http://schema.org/sdDatePublished 2021-01-11 02:09:08.766000+00:00 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https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://schema.org/dateCreated 2020-11-25 09:14:49.401000+00:00 https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://schema.org/dateModified 2025-03-05 02:45:35.165781+00:00 https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://schema.org/datePublished 2020-11-25 09:14:49.401000+00:00 https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://schema.org/description NOISE MAPS allows citizens to generate and analyse urban sound data, empowering communities to take action to reduce unwanted noise and protect the local sonic heritage. The pilot builds on existing cultural practices of collective documentation of the sound heritage of neighbourhoods (Mapa Sonor). Thanks to project activities citizens will be able to filter unwanted noise out from authentic, locally unique sounds, thus allowing communities to take action to preserve their sonic heritage. 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empowering communities to take action to reduce unwanted noise and protect the local sonic heritage. https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://w3id.org/ro/earth-science#Sentence NOISE MAPS deploys a combination of tested tech and methods with a novel approach, to empower communities to leverage the power of citizen science to tackle local challenges of global relevance. https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://w3id.org/ro/earth-science#Sentence The pilot builds on existing cultural practices of collective documentation of the sound heritage of neighbourhoods (Mapa Sonor) Thanks to project activities citizens will be able to filter unwanted noise out from authentic, locally unique sounds, thus allowing communities to take action to preserve their sonic heritage. https://w3id.org/ro-id/54e02cd6-ee8c-4d6d-af46-c7421de99997/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject 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"Noise Maps." ROHub. 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https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ http://schema.org/creator https://plus.google.com/114779368942314333784 https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ http://schema.org/dateCreated 2020-11-03 17:22:37.815000+00:00 https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ http://schema.org/dateModified 2025-03-05 00:45:35.558116+00:00 https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ http://schema.org/datePublished 2020-11-03 17:22:37.815000+00:00 https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ http://schema.org/description Norway is the land of fjords, trolls and – electric cars. By actively promoting the purchase of electric cars, the Norwegian government is aiming at protecting the environment and not least improving air quality, especially in urban areas. Air quality is still a reason for concern in many European countries, including the Nordic countries. Not many people are aware of this fact, and this is where the Norwegian pilot of the ACTION project comes in.The pilot gives high school students in Oslo and the larger Oslo area the opportunity to design and carry out their own air quality projects, using an off-the-shelf air quality sensor platform. The aim is to create awareness about the sources of air pollution, make the students think of ways to reduce both emission and exposure and teach them scientific working methods. We use the Nova SDS011 sensor for measuring PM2.5 and PM10 that is transmitting data to an Arduino board. 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https://w3id.org/ro-id/87648c4f-b7dc-4884-a6f2-93be7336f0a0 https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ https://w3id.org/ro/terms/earth-science#Sentence https://w3id.org/ro-id/ef99ba9f-8142-4cc1-a9af-ccf44ac6996e https://w3id.org/ro-id/b04c829e-997d-44e6-8ef2-5893622403d2/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Esteban González+Guardia. "ACTION - Air Pollution in Schools." ROHub. 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http://ever-est.eu/value#Work https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/ontology/bibo/doi 10.24424/ro-id.EHMJMDN68Q https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/pav/importedBy mailto:service-account-generation-service https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/wf4ever/roevo#archivedAtTime 2019-12-09T08:16:15.705+01:00 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/wf4ever/roevo#archivedBy http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/wf4ever/roevo#isArchiveOf http://sandbox.rohub.org/rodl/ROs/sinktrack/ https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://purl.org/wf4ever/roevo#wasChangedBy http://w3id.org/ro-id/rohub/model#change_specifications/5ef61e03-1c33-483b-9abc-e527bc6ab6be https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the all values of the water column backscatter intensity for all beams over time. A graph with the track of the net, pings vs depth, and some statistics (mean and standard deviation of backscatter, depth, angle of net for each ping) are provided as output. The RO consists of three different workflows created through the Taverna Workbench Enterprise application and they are supposed to be run sequentially (“SinkTrackRead”, "sinkTrackGraph", "SinkTrack"). https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/author https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/contentSize 18252 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/contentUrl https://api.rohub.org/api/ros/7bc38514-796e-47e6-81cb-b8f91247a854/crate/download/ https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/dateCreated 2019-12-09 07:16:15.705000+00:00 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/dateModified 2025-03-05 01:19:05.791030+00:00 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/datePublished 2019-12-09 07:16:15.705000+00:00 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/description It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/hasPart https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/folders/5d21c83c-aee1-4737-9a3e-18e852f09285 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/hasPart https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/folders/986f715d-22ea-4290-ba71-ca561bd427c0 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/hasPart https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/folders/bc38a3b4-9c27-4170-9aef-5955b3c8e031 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/hasPart https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/folders/d537b739-d7db-40cf-8e29-93a5ec2a1fc5 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/identifier https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/keywords MarGnet, net, sinking velocity, water column, backscatter https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://schema.org/name SinkTrack https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#ArchivedRO https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/sinktrack-release/ https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ http://www.w3.org/ns/prov#wasRevisionOf https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854 https://w3id.org/ro-id/7bc38514-796e-47e6-81cb-b8f91247a854/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), and Fantina Madricardo (ISMAR-CNR Venice). "SinkTrack." ROHub. 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http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the all values of the water column backscatter intensity for all beams over time. A graph with the track of the net, pings vs depth, and some statistics (mean and standard deviation of backscatter, depth, angle of net for each ping) are provided as output. The RO consists of three different workflows created through the Taverna Workbench Enterprise application and they are supposed to be run sequentially (“SinkTrackRead”, "sinkTrackGraph", "SinkTrack"). https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/author https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/contentSize 18326 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/contentUrl https://api.rohub.org/api/ros/84eea92b-94f8-43ea-a9ee-ad57b832298f/crate/download/ https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/dateCreated 2019-12-09 07:14:43.199000+00:00 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/dateModified 2025-03-05 01:19:06.321946+00:00 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/datePublished 2019-12-09 07:14:43.199000+00:00 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/description It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/hasPart https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/folders/3396c63a-a9b3-4fcf-8849-565e4e762ba3 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/hasPart https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/folders/a5e0d850-c13b-445f-8c80-96f34aa64b0b https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/hasPart https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/folders/b49bf4f2-d8b6-4898-ad8f-78c42e672265 https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/hasPart https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/folders/cc53ec83-46d8-4621-a88b-04a53e03fb9e https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/identifier https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/keywords MarGnet, net, sinking velocity, water column, backscatter https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://schema.org/name SinkTrack https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#ArchivedRO https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/sinktrack_ARCHIVE/ https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ http://www.w3.org/ns/prov#wasRevisionOf https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f https://w3id.org/ro-id/84eea92b-94f8-43ea-a9ee-ad57b832298f/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), and Fantina Madricardo (ISMAR-CNR Venice). "SinkTrack." ROHub. 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mailto:service-account-generation-service https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://purl.org/wf4ever/roevo#archivedAtTime 2019-12-06T12:11:06.653+01:00 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://purl.org/wf4ever/roevo#archivedBy http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://purl.org/wf4ever/roevo#isArchiveOf http://sandbox.rohub.org/rodl/ROs/sinkvel/ https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://purl.org/wf4ever/roevo#wasChangedBy http://w3id.org/ro-id/rohub/model#change_specifications/bded69c5-cf1d-4133-881c-9a6b0910abeb https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The signal of the seafloor is identified and removed and the noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the values of the water column backscatter intensity for each beam over time. Observing the point with higher intensity it is possible to reconstruct the path of the ML type within the specified beam. To estimate the sinking velocity a portion of the stacked pings is selected on the basis of the minimum and maximum number of pings and depths extracted with FM Midwater when the ASCII files where created. The selected window corresponds to the time interval when the ML is freely falling in the water column. The first input asks for a link to a .zip file containing the ASCII .txt data of the water column backscatter intensity values extracted with FM Midwater and a .inp file containing the values of the window used to calculate the sinking velocity. The second input (“working_dir”) is need only to specify the work directory when workin in a local machine. https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/author https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/contentSize 20786 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/contentUrl https://api.rohub.org/api/ros/f8a252e5-47da-410b-9096-526bc50d19a3/crate/download/ https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/dateCreated 2019-12-06 11:11:06.653000+00:00 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/dateModified 2025-03-05 01:19:06.823521+00:00 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/datePublished 2019-12-06 11:11:06.653000+00:00 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/description It calculates the sink velocity of a net floating in water starting from water column data. https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/hasPart https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/folders/2a05e26d-12f3-46d5-a302-70e66f231076 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/hasPart https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/folders/52c27537-4708-44fa-bdc4-36fae30066c1 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/hasPart https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/folders/7d3c605d-fcac-4825-8b6f-c837e85288d9 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/hasPart https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/folders/c2e393e9-1d07-4887-a991-1f6f6db79d40 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/hasPart https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/resources/2573be25-f6a5-4a54-9a2c-bcbaa45987f7 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/identifier https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/keywords MarGnet, net, sink velocity, water column, backscatter https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://schema.org/name SinkVel https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept information https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept net https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept sink https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept velocity https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept water column https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Concept water https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#FieldOfResearch earth sciences https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma data https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma net https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma sink https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma velocity https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma water column https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Lemma water https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#NASA engineering https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Phrase float in water https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Phrase sink velocity of a net https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Phrase sink velocity https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Phrase velocity of a net https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Phrase water column data https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Sentence It calculates the sink velocity of a net floating in water starting from water column data. https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://w3id.org/ro/earth-science#Sentence SinkVel. https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#ArchivedRO https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ http://www.w3.org/ns/prov#wasRevisionOf https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3 https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ https://w3id.org/contentdesc#Domain thermohydraulics https://w3id.org/ro-id/f8a252e5-47da-410b-9096-526bc50d19a3/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), Fantina Madricardo (ISMAR-CNR Venice), and Lukasz Janowski (University of Gdansk). "SinkVel." ROHub. 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http://ever-est.eu/terms#seafileRepoId http://ever-est.eu/value#0226e45d-59ef-45dd-992f-824a0dbff431 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://ever-est.eu/terms#seafileRepoName http://ever-est.eu/value#Work https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://purl.org/pav/importedBy mailto:service-account-generation-service https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the all values of the water column backscatter intensity for all beams over time. A graph with the track of the net, pings vs depth, and some statistics (mean and standard deviation of backscatter, depth, angle of net for each ping) are provided as output. The RO consists of three different workflows created through the Taverna Workbench Enterprise application and they are supposed to be run sequentially (“SinkTrackRead”, "sinkTrackGraph", "SinkTrack"). https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/author https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/contentSize 16462 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/contentUrl https://api.rohub.org/api/ros/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/crate/download/ https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/dateCreated 2019-12-05 15:43:07.194000+00:00 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/dateModified 2025-03-05 01:19:06.548263+00:00 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/datePublished 2019-12-05 15:43:07.194000+00:00 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/description It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/hasPart https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/folders/0e0e8928-fd2f-4125-b9af-8372ff585ed2 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/hasPart https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/folders/82b9529c-6f21-4da8-b404-e9f2b6795d2e https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/hasPart https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/folders/b2dcd293-8276-4b71-879a-6add4f6fe857 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/hasPart https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/folders/e61f56ef-39e3-40d3-90c4-c0e9f5382c12 https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/identifier https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/keywords MarGnet, net, sink velocity, water column, backscatter https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://schema.org/name SinkTrack https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#ForkedRO https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ http://www.w3.org/ns/prov#wasDerivedFrom http://sandbox.rohub.org/rodl/ROs/sinktrack/ https://w3id.org/ro-id/ac013b9e-5f40-4fd1-98b8-b6159150c2bd/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), and Fantina Madricardo (ISMAR-CNR Venice). 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https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/#enrichment_service-account-enrichment http://schema.org/name service-account-enrichment https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/#enrichment_service-account-enrichment http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://ever-est.eu/terms#seafileFolder http://ever-est.eu/value#/sinktrack https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://ever-est.eu/terms#seafileRepoId http://ever-est.eu/value#0226e45d-59ef-45dd-992f-824a0dbff431 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://ever-est.eu/terms#seafileRepoName http://ever-est.eu/value#Work https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://purl.org/pav/importedBy mailto:service-account-generation-service https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://purl.org/wf4ever/roevo#archivedAtTime 2019-12-05T16:31:13.771+01:00 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://purl.org/wf4ever/roevo#archivedBy http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://purl.org/wf4ever/roevo#isArchiveOf http://sandbox.rohub.org/rodl/ROs/sinktrack/ https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://purl.org/wf4ever/roevo#wasChangedBy http://w3id.org/ro-id/rohub/model#change_specifications/c0da4da3-f459-40d3-a1a3-08bffff46f50 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the all values of the water column backscatter intensity for all beams over time. A graph with the track of the net, pings vs depth, and some statistics (mean and standard deviation of backscatter, depth, angle of net for each ping) are provided as output. The RO consists of three different workflows created through the Taverna Workbench Enterprise application and they are supposed to be run sequentially (“SinkTrackRead”, "sinkTrackGraph", "SinkTrack"). https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/author https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/contentSize 16352 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/contentUrl https://api.rohub.org/api/ros/aaed8d9a-b995-4de7-a84a-35534103581b/crate/download/ https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/dateCreated 2019-12-05 15:31:13.771000+00:00 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/dateModified 2025-03-05 01:19:05.544145+00:00 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/datePublished 2019-12-05 15:31:13.771000+00:00 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/description It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/hasPart https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/folders/07f86f7c-cf27-4647-95f3-4e77be577654 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/hasPart https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/folders/51dab0dc-d891-4b00-a058-643f86c613b0 https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/hasPart https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/folders/904fe1cb-bd56-4cd5-98dc-b82766822dea https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/hasPart https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/folders/b36459ea-4af5-4324-a7bd-2bc67433454c https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/identifier https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://schema.org/name SinkTrack https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#ArchivedRO https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/sinktrack_SNAPSHOT/ https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ http://www.w3.org/ns/prov#wasRevisionOf https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b https://w3id.org/ro-id/aaed8d9a-b995-4de7-a84a-35534103581b/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), and Fantina Madricardo (ISMAR-CNR Venice). "SinkTrack." ROHub. 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https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/#enrichment_service-account-enrichment http://schema.org/name service-account-enrichment https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/#enrichment_service-account-enrichment http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://ever-est.eu/terms#seafileFolder http://ever-est.eu/value#/sinktrack https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://ever-est.eu/terms#seafileRepoId http://ever-est.eu/value#0226e45d-59ef-45dd-992f-824a0dbff431 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://ever-est.eu/terms#seafileRepoName http://ever-est.eu/value#Work https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://purl.org/pav/importedBy mailto:service-account-generation-service https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://purl.org/wf4ever/roevo#isSnapshotOf http://sandbox.rohub.org/rodl/ROs/sinktrack/ https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://purl.org/wf4ever/roevo#snapshotedAtTime 2019-12-05T16:29:35.863+01:00 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://purl.org/wf4ever/roevo#snapshotedBy http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://purl.org/wf4ever/roevo#wasChangedBy http://w3id.org/ro-id/rohub/model#change_specifications/a9f32409-f31b-4b9b-b4ec-5c0526318c34 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/abstract An ASCII file with beam time series extracted from the water column data, output of FM Midwater, is imported in Matlab where it is read and adpated to be further processed. The noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the all values of the water column backscatter intensity for all beams over time. A graph with the track of the net, pings vs depth, and some statistics (mean and standard deviation of backscatter, depth, angle of net for each ping) are provided as output. The RO consists of three different workflows created through the Taverna Workbench Enterprise application and they are supposed to be run sequentially (“SinkTrackRead”, "sinkTrackGraph", "SinkTrack"). https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/author https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/contentSize 16324 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/contentUrl https://api.rohub.org/api/ros/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/crate/download/ https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/dateCreated 2019-12-05 15:29:35.863000+00:00 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/dateModified 2025-03-05 01:19:06.048079+00:00 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/datePublished 2019-12-05 15:29:35.863000+00:00 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/description It reads and elaborates ASCII file produced with FM Midwater in order to calculate some statistics, mean, standard deviation of backscatter, depth, angle of net for each ping, and to produce a graph with the track of the net https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/hasPart https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/folders/10ec2d22-b850-46e6-ae68-2c7666721eab https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/hasPart https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/folders/72ecf0e8-7b67-4984-8e36-19b2f6d12eec https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/hasPart https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/folders/a44591e9-b7e5-4f30-8507-8281b3c9b626 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/hasPart https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/folders/b1759374-c4f2-4363-a80a-900a1ae0a273 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/identifier https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2 https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://schema.org/name SinkTrack https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#SnapshotRO https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ http://www.w3.org/ns/prov#wasRevisionOf http://sandbox.rohub.org/rodl/ROs/sinktrack_ARCHIVE/ https://w3id.org/ro-id/ed9a1b7c-fc01-4b4a-b274-0708f43b24e2/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), and Fantina Madricardo (ISMAR-CNR Venice). "SinkTrack." ROHub. 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The signal of the seafloor is identified and removed and the noise is filtered setting a threshold for the intensity values. Then the pings are stacked with the values of the water column backscatter intensity for each beam over time. Observing the point with higher intensity it is possible to reconstruct the path of the ML type within the specified beam. To estimate the sinking velocity a portion of the stacked pings is selected on the basis of the minimum and maximum number of pings and depths extracted with FM Midwater when the ASCII files where created. The selected window corresponds to the time interval when the ML is freely falling in the water column. The first input asks for a link to a .zip file containing the ASCII .txt data of the water column backscatter intensity values extracted with FM Midwater and a .inp file containing the values of the window used to calculate the sinking velocity. The second input (“working_dir”) is need only to specify the work directory when workin in a local machine. https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/author https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/contentSize 23184 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/contentUrl https://api.rohub.org/api/ros/c4be06dc-6af4-4bc1-8843-035e943a54ad/crate/download/ https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/contributor http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/creator http://everest.psnc.pl/users/antonio.petrizzo https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/dateCreated 2019-12-05 10:40:09.490000+00:00 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/dateModified 2025-03-05 01:19:07.077298+00:00 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/datePublished 2019-12-05 10:40:09.490000+00:00 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/description It calculates the sink velocity of a net floating in water starting from water column data. https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/funder EASME/EMFF/2017/1.2.1.12/S2/05/SI2.789314 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/hasPart https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/folders/59557620-b13f-4b2d-876d-d035af6ae9a2 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/hasPart https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/folders/d66c8c1b-f8d7-4990-82df-41075c519d64 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/hasPart https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/folders/d75cec1c-2268-4433-81bf-74f698031055 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/hasPart https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/folders/e543c7fa-ded9-4db3-a7c7-8d3b9f26c2b3 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/hasPart https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/resources/82efe8bd-0252-4d6c-803a-8dfc8a305b49 https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/identifier https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/keywords MarGnet, net, sink velocity, water column, backscatter https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://schema.org/name SinkVel https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://www.acsys.it/everest#vrc Sea Monitoring https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#WorkflowResearchObject https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/c4be06dc-6af4-4bc1-8843-035e943a54ad/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Aleksandra Kruss (ISMAR-CNR Venice), Antonio Petrizzo (ISMAR-CNR Venice), Fantina Madricardo (ISMAR-CNR Venice), Lukasz Janowski (University of Gdansk), and Antonio Petrizzo. "SinkVel." ROHub. 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