cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ursjn5
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gravesia setifera H.Perrier"
 ]
}

 The dataset includes 99 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233354-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4am699
title: Occurrence Download

description: A dataset containing 4196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium schmidtii Tausch"
 ]
}

 The dataset includes 4196 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247153-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3qn28
title: Occurrence Download

description: A dataset containing 16192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Broussonetia tinctoria (L.) Kunth, Chlorophora tinctoria (L.) Gaudich. ex B.D.Jacks., Chlorophora tinctoria (L.) Gaudich. ex Benth. & Hook.f., Chlorophora tinctoria (L.) Gaudich., Chlorophora tinctoria subsp. mora (Griseb.) Hassl., Chlorophora tinctoria subsp. zanthoxylon (L.) Hassl., Maclura tinctoria (L.) D.Don ex Steud., Maclura tinctoria (L.) D.Don, Maclura tinctoria var. affinis (Miq. ex Mart.) Bureau, Maclura tinctoria subsp. mora (Griseb.) Vázq.Avila, Maclura tinctoria subsp. tinctoria, Maclura tinctoria var. tinctoria, Maclura tinctoria var. xanthoxylon (L.) Bureau, 1873, Morus tinctoria L.)"
 ]
}

 The dataset includes 16192 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214674-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0183350.10fu
title: SH0183350.10FU

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/sh0183351.10fu
title: SH0183351.10FU

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/sh0183352.10fu
title: SH0183352.10FU

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/sh0183353.10fu
title: SH0183353.10FU

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.7sn8kt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((77.73369 19.601182, 77.65913500000001 19.595606, 77.586432 19.579016, 77.517382 19.551825, 77.453698 19.514706, 77.39695399999999 19.468579, 77.34854900000001 19.414589, 77.309673 19.35407, 77.28127600000001 19.28852, 77.26404700000001 19.219557, 77.25839499999999 19.148882, 77.26444600000001 19.078237, 77.282037 19.00936, 77.31072 18.943943, 77.349779 18.883593, 77.398247 18.829789, 77.454928 18.783849, 77.518429 18.746898, 77.587192 18.71984, 77.65953500000001 18.703336, 77.73369 18.69779, 77.807845 18.703336, 77.880188 18.71984, 77.94895099999999 18.746898, 78.012452 18.783849, 78.06913299999999 18.829789, 78.11760099999999 18.883593, 78.15666 18.943943, 78.185343 19.00936, 78.202934 19.078237, 78.208985 19.148882, 78.203333 19.219557, 78.186104 19.28852, 78.157707 19.35407, 78.118831 19.414589, 78.070426 19.468579, 78.013682 19.514706, 77.94999799999999 19.551825, 77.880948 19.579016, 77.808245 19.595606, 77.73369 19.601182))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001772-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0183354.10fu
title: SH0183354.10FU

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/sh0183355.10fu
title: SH0183355.10FU

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/sh0183356.10fu
title: SH0183356.10FU

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/sh0183357.10fu
title: SH0183357.10FU

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/sh0183358.10fu
title: SH0183358.10FU

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/sh0183359.10fu
title: SH0183359.10FU

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: 10.25318/4610000701-eng
title: Average expected useful life of new publicly owned social and affordable housing assets, Infrastructure Canada

description: Average expected useful life of provincially, territorially, regionally and municipally owned social and affordable housing assets for all provinces and territories. Values are presented for 2016. Values are presented in years.
DOI: 10.15468/dl.khjqb3
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversidad de ecosistemas estratégicos Más Bosques - Hongos"
 ]
}

 The dataset includes 141 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018639-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qf9z3u
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Podarcis muralis (Laurenti, 1768)"
 ]
}

 The dataset includes 511 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018640-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/4610000701-fra
title: Durée de vie utile moyenne prévue des actifs relatifs au logement social et abordable de propriété publique, Infrastructure Canada

description: Durée de vie utile moyenne prévue des logements sociaux et abordables de propriété provinciale, territoriale, régionale et municipale pour toutes les provinces et territoires. Les données sont présentées pour 2016. Les données sont présentées en années.
DOI: 10.18434/m32195
title: Trojan Detection Software Challenge - image-classification-jun2020-train

description: The data being generated and disseminated is training, validation, and test data used to construct trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers. This dataset consists of 1100 trained, human level, image classification AI models using the following architectures (Inception-v3, DenseNet-121, and ResNet50). The models were trained on synthetically created image data of non-real traffic signs superimposed on road background scenes. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the images when the trigger is present.
DOI: 10.25318/4610000801-eng
title: Average expected useful life of new municipally owned social and affordable housing assets, by urban and rural, and population size, Infrastructure Canada

description: Average expected useful life of municipally owned social and affordable housing assets for all provinces and territories, by urban and rural and population size. Average expected useful life values are presented for new assets completed or acquired in 2016. Average expected useful life values are presented in years.
DOI: 10.5281/zenodo.14827741
title: Smart Governance Product Line

description: "This dataset models a (service-oriented) software product line that represents the features and variability of collaborative e-governance systems and services that could be deployed in public institutions."
DOI: 10.5281/zenodo.14827742
title: Smart Governance Product Line

description: "This dataset models a (service-oriented) software product line that represents the features and variability of collaborative e-governance systems and services that could be deployed in public institutions."
DOI: 10.25318/4610000801-fra
title: Durée de vie utile moyenne prévue des actifs relatifs au logement social et abordable public de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada

description: Durée de vie moyenne prévue des logements sociaux et abordables de propriété municipale pour toutes les provinces et territoires, selon la zone (urbaine ou rurale) et la taille de population. Les moyennes de la durée de vie utile prévue sont présentées pour les nouveaux actifs complétés ou acquis en 2016. Les données de la durée de vie utile prévue sont présentées en années.
DOI: 10.5519/qd.p6jlc9m7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (74008 records)
DOI: 10.6084/m9.figshare.28365233
title: Datasets and R codes

description: Vegetable production constraints, and willingness to adopt sustainable intensification options including black soldier fly, and vegetable-integrated push-pull technology by smallholder farmers in Kenya and Uganda
DOI: 10.15468/dl.4ufwxb
title: Occurrence Download

description: A dataset containing 2673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Annelida"
 ]
}

 The dataset includes 2673 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018643-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwzrjr
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (b4640710-8e03-11d8-b956-b8a03c50a862, e8eada63-4a33-44aa-b2fd-4f71efb222a0, d003dd60-94fa-11da-a99f-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862, 493fe050-055d-11d8-b84f-b8a03c50a862, 52c8f620-1816-11da-9544-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Incilius perplexus (Taylor, 1943)",
 "Year 1960-2025"
 ]
}

 The dataset includes 237 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018644-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p139dikc
title: Buffalo and Silver Carp individual and survival data following surgery using the sedation methods at Columbia Environmental Research Center, Columbia, Missouri, USA from 2022 to 2023

description: The dataset includes capture and individual data for silver carp and buffalo from 2022 and 2023. Fish were captured in the Missouri River and tributaries and transported to the Columbia Environmental Research Center, Columbia, MO, USA. Fish were assigned to one of four treatments to examine different sedation techniques for surgical implantation of artificial transmitters: tricaine methanesulfonate (MS-222), eugenol, electric fish handling gloves (EFHG), and a surgical control. Fish were held in experimental ponds where water quality was measured and fish were observed daily for survival over four trials conducted over the course of more than a year. Upon completion of the monitoring period, fish were harvested, and incisions were examined.
DOI: 10.15468/dl.kdwrmb
title: Occurrence Download

description: A dataset containing 182020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Festuca rubra L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 182020 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018636-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.vnr7x7p9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (97 records)