cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nt4vnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.06766 21.553673, 74.99215100000001 21.548097, 74.918519 21.531506, 74.848591 21.504313, 74.7841 21.467192, 74.72664399999999 21.421066, 74.677638 21.367077, 74.63828700000001 21.306562, 74.609551 21.241019, 74.592127 21.172067, 74.586427 21.101406, 74.59257700000001 21.030778, 74.610407 20.961921, 74.639464 20.896526, 74.679022 20.836199, 74.728099 20.782417, 74.78548499999999 20.736498, 74.849768 20.699565, 74.919374 20.67252, 74.99260099999999 20.656024, 75.06766 20.650481, 75.142719 20.656024, 75.215946 20.67252, 75.285552 20.699565, 75.349835 20.736498, 75.40722100000001 20.782417, 75.456298 20.836199, 75.495856 20.896526, 75.524913 20.961921, 75.542743 21.030778, 75.54889300000001 21.101406, 75.543193 21.172067, 75.525769 21.241019, 75.497033 21.306562, 75.45768200000001 21.367077, 75.408676 21.421066, 75.35122 21.467192, 75.28672899999999 21.504313, 75.216801 21.531506, 75.143169 21.548097, 75.06766 21.553673))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001531-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0175197.10fu
title: SH0175197.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0175198.10fu
title: SH0175198.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.urzjw3
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Comostola hauensteini Smetacek, 2004"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025656-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5610w427
title: MassIVE MSV000096301 - Lacouture_mammary_glands_organoids
title: This submission contains the mass spectrometry files for the manuscript by Aurelie Lacouture et al. that describes the quantitative proteomics analysis of mammary glands organoids proteome. Experiments were performed from mammary glands organoids derived from mouse and the MS files were acquired on Orbitrap Fusion mass spectrometer. For questions, please contact Jean-Philippe Lambert (Jean-Philippe.Lambert@crchudequebec.ulaval.ca).
DOI: 10.15468/dl.c2g7sp
title: Occurrence Download

description: A dataset listing the 1000 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-119.55183 50.81894,-119.56001 50.82093,-119.56712 50.82508,-119.5736 50.82521,-119.58655 50.81941,-119.60145 50.80988,-119.61324 50.80992,-119.62432 50.80682,-119.63537 50.80656,-119.65157 50.80369,-119.6644 50.79747,-119.66805 50.79224,-119.66884 50.78647,-119.66486 50.77096,-119.65895 50.76157,-119.66111 50.75687,-119.65855 50.74973,-119.66095 50.74541,-119.66094 50.73232,-119.65895 50.72863,-119.65922 50.72365,-119.6552 50.71885,-119.65002 50.71606,-119.64937 50.71058,-119.65111 50.69914,-119.64929 50.69456,-119.6493 50.67143,-119.65459 50.66632,-119.66112 50.65389,-119.66517 50.65184,-119.6669 50.64862,-119.66406 50.64325,-119.66469 50.63474,-119.65674 50.60989,-119.65987 50.60334,-119.65779 50.59066,-119.64965 50.5836,-119.63642 50.58121,-119.62789 50.57185,-119.61241 50.56276,-119.61014 50.55796,-119.61041 50.55101,-119.60624 50.54656,-119.60818 50.54365,-119.60723 50.54008,-119.60134 50.53222,-119.59586 50.5294,-119.58798 50.51903,-119.58138 50.51387,-119.57877 50.50902,-119.56569 50.50102,-119.5631 50.49694,-119.55579 50.49592,-119.54515 50.49149,-119.52833 50.47018,-119.51957 50.46188,-119.49713 50.4497,-119.47182 50.44469,-119.45333 50.44375,-119.42343 50.45706,-119.40498 50.45513,-119.38025 50.45565,-119.37242 50.4529,-119.35385 50.46151,-119.34555 50.47161,-119.33883 50.48332,-119.34122 50.49565,-119.33997 50.50054,-119.34769 50.50621,-119.34767 50.50798,-119.3392 50.51654,-119.34344 50.5265,-119.34137 50.53339,-119.34402 50.53799,-119.33896 50.54196,-119.33686 50.5557,-119.33914 50.56348,-119.34498 50.56918,-119.34757 50.57423,-119.35428 50.57831,-119.35876 50.5984,-119.35878 50.6176,-119.3632 50.6221,-119.36341 50.62453,-119.35772 50.62994,-119.35647 50.63703,-119.35006 50.64004,-119.34587 50.64431,-119.34423 50.65711,-119.3282 50.6583,-119.31792 50.66435,-119.27432 50.66894,-119.26064 50.66434,-119.24573 50.6659,-119.24012 50.66892,-119.23602 50.67383,-119.23518 50.68221,-119.23035 50.68894,-119.23107 50.69495,-119.23923 50.70202,-119.25241 50.70441,-119.26583 50.70237,-119.27458 50.69614,-119.32118 50.69127,-119.33403 50.69125,-119.33507 50.6927,-119.32756 50.7028,-119.31423 50.71507,-119.31068 50.72529,-119.31968 50.74724,-119.31977 50.75527,-119.3301 50.77088,-119.33933 50.78042,-119.34682 50.7912,-119.36987 50.79978,-119.37538 50.80343,-119.3924 50.80541,-119.40491 50.80406,-119.42552 50.79541,-119.45009 50.79298,-119.48997 50.78453,-119.49676 50.78461,-119.51399 50.79518,-119.51775 50.79979,-119.52484 50.80454,-119.52786 50.8091,-119.53183 50.81102,-119.5342 50.81588,-119.5405 50.81839,-119.55183 50.81894)))",
 "HasCoordinate is true"
 ]
}

 The dataset's 1000 records were derived from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025627-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzxjqh
title: Occurrence Download

description: A dataset containing 14131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer circinatum Pursh"
 ]
}

 The dataset includes 14131 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025659-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdysne
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma jeffersonianum (Green, 1827)",
 "Year 1984-2024"
 ]
}

 The dataset includes 1925 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025660-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2305028
title: Appalachian Highlands Network Mammal Inventory 2003-2004- Data Package

description: The Appalachian Highlands Network (APHN) consists of four National Park Units. From 2003-2004, three of these units were inventoried for mammal species. These units include the Blue Ridge Parkway (BLRI), the Big South Fork National River and Recreation Area (BISO), and the Obed Wild and Scenic River (OBRI). While there are separate reports for each park unit, the methods are consistent across the park units and the data were kept housed in one database. These methods include a variety of small and medium mammal traps, echolocation detection, mist nets, pitfall traps, and road surveys. This work was completed as a part of the National Park Service’s goal to document the occurrence of at least 90% of species that occur in each park unit containing “significant natural resources”.
DOI: 10.15468/dd.3a899r
title: Distribution and conservation of Mexican tepezmaite cycads

description: Records used in [paper](https://doi.org/10.1007/s10531-024-02920-y)
DOI: 10.15468/dl.ruk55q
title: Occurrence Download

description: A dataset containing 3772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemidactylium scutatum (Temminck, 1838)"
 ]
}

 The dataset includes 3772 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025661-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14042822
title: WAR_WITNESS Annotated Bibliography: Indian Military Memoirs and Campaign Narratives

description: This annotated bibliography consists of military memoirs and campaign narratives authored by British military personnel stationed in India during the period 1780 to 1855. These publications were identified and analysed as part of the MSCA-funded project WAR_WITNESS.
DOI: 10.5281/zenodo.14042823
title: WAR_WITNESS Annotated Bibliography: Indian Military Memoirs and Campaign Narratives

description: This annotated bibliography consists of military memoirs and campaign narratives authored by British military personnel stationed in India during the period 1780 to 1855. These publications were identified and analysed as part of the MSCA-funded project WAR_WITNESS.
DOI: 10.15468/dl.sb89x7
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tsetse flies of East Africa update"
 ]
}

 The dataset includes 398 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025664-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrpzz8
title: Occurrence Download

description: A dataset containing 14566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14566 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025663-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9hfqt
title: Occurrence Download

description: A dataset containing 233731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cyprinus carpio Linnaeus, 1758"
 ]
}

 The dataset includes 233731 records from 908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025501-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5280598v
title: MassIVE MSV000096302 - Lacouture_mammary_glands_organoids_phosphoproteome
title: This submission contains the mass spectrometry files for the manuscript by Aurelie Lacouture et al. that describes the quantitative proteomics analysis of mammary glands organoids proteome and phosphoproteome. Experiments were performed from mammary glands organoids derived from mouse and the MS files were acquired on Orbitrap Fusion mass spectrometer. For questions, please contact Jean-Philippe Lambert (Jean-Philippe.Lambert@crchudequebec.ulaval.ca).
DOI: 10.15468/dl.ssvarj
title: Occurrence Download

description: A dataset containing 885595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 885595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025632-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ms3sw5
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vanilla Plum. ex Mill.)",
 "Geometry POLYGON((\n -73.990173 -18.041137, \n -66.269531 -15.284185, \n -61.699219 -11.178402, \n -58.359375 -7.710992, \n -54.316406 -3.864254,\n -49.921875 1.406108,\n -54.492188 5.266007,\n -60.292969 0.703107,\n -64.511719 -4.740675, \n -66.093750 -9.449062,\n -69.206543 -13.394735, \n -73.990173 -18.041137\n))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 135 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025667-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76f8pa
title: Occurrence Download

description: A dataset containing 39098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.049 35.418,-73.844 35.418,-73.844 41.513,-81.049 41.513,-81.049 35.418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "Month is one of (May, June, July, August)",
 "TaxonKey is Setophaga cerulea (A.Wilson, 1810)"
 ]
}

 The dataset includes 39098 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025666-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11627822
title: UniTox

description: Drug-induced toxicity is one of the leading reasons new drugs fail clinical trials. Machine learning models that predict drug toxicity from molecular structure could help researchers prioritize less toxic drug candidates. However, current toxicity datasets are typically small and limited to a single organ system (e.g., cardio, renal, or liver). Creating these datasets often involved time-intensive expert curation by parsing drug label documents that can exceed 100 pages per drug. Here, we introduce UniTox, a unified dataset of 2,418 FDA-approved drugs with drug-induced toxicity summaries and ratings created by using GPT-4o to process FDA drug labels. UniTox spans eight types of toxicity: cardiotoxicity, liver toxicity, renal toxicity, pulmonary toxicity, hematological toxicity, dermatological toxicity, ototoxicity, and infertility. This is, to the best of our knowledge, the largest such systematic human in vivo database by number of drugs and toxicities. We encourage the use of this data for drug development research. This dataset is NOT meant to guide healthcare decisions and is not medical advice.
DOI: 10.5281/zenodo.11627821
title: UniTox

description: Drug-induced toxicity is one of the leading reasons new drugs fail clinical trials. Machine learning models that predict drug toxicity from molecular structure could help researchers prioritize less toxic drug candidates. However, current toxicity datasets are typically small and limited to a single organ system (e.g., cardio, renal, or liver). Creating these datasets often involved time-intensive expert curation by parsing drug label documents that can exceed 100 pages per drug. Here, we introduce UniTox, a unified dataset of 2,418 FDA-approved drugs with drug-induced toxicity summaries and ratings created by using GPT-4o to process FDA drug labels. UniTox spans eight types of toxicity: cardiotoxicity, liver toxicity, renal toxicity, pulmonary toxicity, hematological toxicity, dermatological toxicity, ototoxicity, and infertility. This is, to the best of our knowledge, the largest such systematic human in vivo database by number of drugs and toxicities. We encourage the use of this data for drug development research. This dataset is NOT meant to guide healthcare decisions and is not medical advice. 

UniTox.csv contains the full set of drugs and toxicity ratings. UniTox-Small-Molecule-Benchmark.csv is a subset of UniTox that exclusively contains small molecules with SMILES strings. Models contains all models trained on the small molecule benchmark from the UniTox paper.
DOI: 10.5281/zenodo.14042913
title: UniTox

description: Drug-induced toxicity is one of the leading reasons new drugs fail clinical trials. Machine learning models that predict drug toxicity from molecular structure could help researchers prioritize less toxic drug candidates. However, current toxicity datasets are typically small and limited to a single organ system (e.g., cardio, renal, or liver). Creating these datasets often involved time-intensive expert curation by parsing drug label documents that can exceed 100 pages per drug. Here, we introduce UniTox, a unified dataset of 2,418 FDA-approved drugs with drug-induced toxicity summaries and ratings created by using GPT-4o to process FDA drug labels. UniTox spans eight types of toxicity: cardiotoxicity, liver toxicity, renal toxicity, pulmonary toxicity, hematological toxicity, dermatological toxicity, ototoxicity, and infertility. This is, to the best of our knowledge, the largest such systematic human in vivo database by number of drugs and toxicities. We encourage the use of this data for drug development research. This dataset is NOT meant to guide healthcare decisions and is not medical advice. 

UniTox.csv contains the full set of drugs and toxicity ratings. UniTox-Small-Molecule-Benchmark.csv is a subset of UniTox that exclusively contains small molecules with SMILES strings. Models contains all models trained on the small molecule benchmark from the UniTox paper.
DOI: 10.60635/c3j018
title: Example Dataset

description: This dataset contains...
DOI: 10.15468/dl.ctezbs
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vanilla Plum. ex Mill.)",
 "Geometry POLYGON((\n -75 -15, \n -75 5, \n -50 5, \n -50 -15, \n -75 -15\n))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 648 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025668-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx2re7
title: Occurrence Download

description: A dataset containing 177516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, United Kingdom of Great Britain and Northern Ireland, Spain, Germany, Netherlands, Ireland, Portugal, Belgium, Norway, Denmark)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Coenonympha oedippus Fabricius, 1787, Euphydryas aurinia (Rottemburg, 1775), Euphydryas maturna (Linnaeus, 1758), Lopinga achine (Scopoli, 1763), Lycaena dispar (Haworth, 1803), Phengaris arion (Linnaeus, 1758), Phengaris nausithous (Bergsträsser, 1779), Phengaris teleius (Virgstrassir, 1779), Phengaris teleius (Bergsträsser, 1779), Parnassius apollo (Linnaeus, 1758), Coenonympha hero (Linnaeus, 1761), Euplagia quadripunctaria (Poda, 1761), Proserpinus proserpina Pallas, 1772, Gortyna borelii lunata Freyer, 1837, Eriogaster catax (Linnaeus, 1767))",
 "Year 2000-2023"
 ]
}

 The dataset includes 177516 records from 1635 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028294-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfjjsr
title: Occurrence Download

description: A dataset containing 3200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Reptilia)",
 "HasCoordinate is one of (true)",
 "Geometry POLYGON((-93.2102775498656 15.399135461841,-92.575770873272 15.399135461841,-92.575770873272 15.9590253888161,-93.2102775498656 15.9590253888161,-93.2102775498656 15.399135461841))"
 ]
}

 The dataset includes 3200 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168864-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vybkqv
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macaca thibetana (A.Milne-Edwards, 1870)"
 ]
}

 The dataset includes 148 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032418-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dw9b0u
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astroblepus ubidiai (Pellegrin, 1931)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004150-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr4j63
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium vvedenskyi Pachom."
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020398-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.