https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#Head https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ http://www.nanopub.org/nschema#hasAssertion https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#assertion https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ http://www.nanopub.org/nschema#hasProvenance https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#provenance https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#pubinfo https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#assertion http://id.crossref.org/issn/2451-8492 http://purl.org/dc/terms/title Data Science https://doi.org/10.3233/DS-240059 http://purl.org/dc/terms/abstract Measuring data drift is essential in machine learning applications where model scoring (evaluation) is done on data samples that differ from those used in training. The Kullback-Leibler divergence is a common measure of shifted probability distributions, for which discretized versions are invented to deal with binned or categorical data. We present the Unstable Population Indicator, a robust, flexible and numerically stable, discretized implementation of Jeffrey's divergence, along with an implementation in a Python package that can deal with continuous, discrete, ordinal and nominal data in a variety of popular data types. We show the numerical and statistical properties in controlled experiments. It is not advised to employ a common cut-off to distinguish stable from unstable populations, but rather to let that cut-off depend on the use case. https://doi.org/10.3233/DS-240059 http://purl.org/dc/terms/date 2024-06-26 https://doi.org/10.3233/DS-240059 http://purl.org/dc/terms/hasPart https://w3id.org/kpxl/ios/ds/np/RA0XRooQKz2A7aoP0VJLS2NKcvQv-n7RwPoYtcD4wtTPc https://doi.org/10.3233/DS-240059 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/2451-8492 https://doi.org/10.3233/DS-240059 http://purl.org/dc/terms/title Measuring Data Drift with the Unstable Population Indicator https://doi.org/10.3233/DS-240059 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/ResourcePaper https://orcid.org/0000-0003-2581-8370 http://schema.org/affiliation https://ror.org/04dkp9463 https://orcid.org/0000-0003-2581-8370 http://schema.org/affiliation https://ror.org/05xvt9f17 https://orcid.org/0000-0003-2581-8370 http://schema.org/email datascience@marcelhaas.com https://orcid.org/0000-0003-2581-8370 http://xmlns.com/foaf/0.1/name Marcel R. Haas https://orcid.org/0009-0003-5030-0108 http://schema.org/affiliation https://ror.org/04b8v1s79 https://orcid.org/0009-0003-5030-0108 http://schema.org/affiliation https://ror.org/04dkp9463 https://orcid.org/0009-0003-5030-0108 http://schema.org/email L.Sibbald@tilburguniversity.edu https://orcid.org/0009-0003-5030-0108 http://xmlns.com/foaf/0.1/name Lisette Sibbald https://ror.org/04b8v1s79 http://xmlns.com/foaf/0.1/name Department of Methodology and Statistics and Department of Cognitive Neuropsychology, Tilburg University, Prof. Cobbenhagenlaan 125, 5037 DB Tilburg, The Netherlands https://ror.org/04dkp9463 http://xmlns.com/foaf/0.1/name Business Intelligence, University of Amsterdam, Spui 21, 1012WX Amsterdam, The Netherlands https://ror.org/05xvt9f17 http://xmlns.com/foaf/0.1/name Public Health and Primary Care, Leiden University Medical Center, Albinusdreef 2, The Netherlands https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0003-2581-8370 https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#author-list__1 http://www.w3.org/1999/02/22-rdf-syntax-ns#_2 https://orcid.org/0009-0003-5030-0108 https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#provenance https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0003-2581-8370 https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0009-0003-5030-0108 https://w3id.org/kpxl/ios/ds/np/RAn08NC9isAMOUJCNaGrh31KHTSet2xemhzqS9YNB49hQ#pubinfo https://orcid.org/0000-0002-1267-0234 http://xmlns.com/foaf/0.1/name Tobias Kuhn https://orcid.org/0000-0003-2581-8370 http://xmlns.com/foaf/0.1/name Marcel R. 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https://w3id.org/np/RAyW5v4w76mcFJYDreFTuhc4Yu0sKwZQBccYfoB_Q-7_o http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAyW5v4w76mcFJYDreFTuhc4Yu0sKwZQBccYfoB_Q-7_o#assertion http://id.crossref.org/issn/2709-4715 http://purl.org/dc/terms/title GigaByte https://doi.org/10.46471/gigabyte.99 http://purl.org/dc/terms/abstract In China, 65 types of venomous snakes exist, with the Chinese Cobra Naja atra being prominent and a major cause of snakebites in humans. Furthermore, N. atra is a protected animal in some areas, as it has been listed as vulnerable by the International Union for Conservation of Nature. Recently, due to the medical value of snake venoms, venomics has experienced growing research interest. In particular, genomic resources are crucial for understanding the molecular mechanisms of venom production. Here, we report a highly continuous genome assembly of N. atra, based on a snake sample from Huangshan, Anhui, China. The size of this genome is 1.67 Gb, while its repeat content constitutes 37.8% of the genome. A total of 26,432 functional genes were annotated. This data provides an essential resource for studying venom production in N. atra. It may also provide guidance for the protection of this species. https://doi.org/10.46471/gigabyte.99 http://purl.org/dc/terms/date 2023-11-20 https://doi.org/10.46471/gigabyte.99 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/2709-4715 https://doi.org/10.46471/gigabyte.99 http://purl.org/dc/terms/title The genome assembly and annotation of the Chinese cobra, Naja atra https://doi.org/10.46471/gigabyte.99 http://purl.org/pav/authoredBy https://orcid.org/0000-0002-7048-929X https://doi.org/10.46471/gigabyte.99 http://purl.org/pav/authoredBy https://orcid.org/0000-0003-2756-8328 https://doi.org/10.46471/gigabyte.99 http://purl.org/pav/authoredBy https://orcid.org/0009-0004-9731-2576 https://doi.org/10.46471/gigabyte.99 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/ResourcePaper https://orcid.org/0000-0002-7048-929X http://schema.org/affiliation https://ror.org/04dpa3g90 https://orcid.org/0000-0002-7048-929X http://schema.org/email hefengping@outlook.com https://orcid.org/0000-0002-7048-929X http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person https://orcid.org/0000-0002-7048-929X http://xmlns.com/foaf/0.1/name Fengping He https://orcid.org/0000-0003-2756-8328 http://schema.org/affiliation https://ror.org/03n9hr695 https://orcid.org/0000-0003-2756-8328 http://schema.org/email huguohai@cngb.org https://orcid.org/0000-0003-2756-8328 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person https://orcid.org/0000-0003-2756-8328 http://xmlns.com/foaf/0.1/name Guohai Hu https://orcid.org/0009-0004-9731-2576 http://schema.org/affiliation https://ror.org/04dpa3g90 https://orcid.org/0009-0004-9731-2576 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Person https://orcid.org/0009-0004-9731-2576 http://xmlns.com/foaf/0.1/name Jiangang Wang https://ror.org/03n9hr695 http://www.w3.org/1999/02/22-rdf-syntax-ns#type 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