cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wgwa99
title: Occurrence Download

description: A dataset containing 317581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2023-11-24",
 "EventDate is less than or equal to 2023-12-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 317581 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066369-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3txzc
title: Occurrence Download

description: A dataset containing 116992 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Year 1950-2019",
 "HasCoordinate is true",
 "TaxonKey is Acer platanoides L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 116992 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009360-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-0319
title: Revenus fiscaux localisés des ménages - 2003

description: Les chiffres "Revenus fiscaux des ménages" ont été établis à partir des fichiers exhaustifs des déclarations de revenus des personnes physiques et de la taxe d'habitation fournis à l'Insee par la Direction Générale des Impôts. L'INSEE procède au rapprochement de ces fichiers afin d'estimer le revenu fiscal à des niveaux géographiques finement localisés, tout en préservant la confidentialité des données. Les données sont exprimées suivant trois niveaux d'observation : ménage, personne et unité de consommation. Elles se présentent sous la forme d'indicateurs de distribution et d'indicateurs de structure qui permettent deux types d'analyses : une analyse de la distribution des revenus et une analyse de la structure des revenus. L'unité utilisée pour toutes les données monétaires est l'euro.
DOI: 10.13144/lil-0320
title: Revenus fiscaux localisés des ménages - 2004

description: Les chiffres "Revenus fiscaux des ménages" ont été établis à partir des fichiers exhaustifs des déclarations de revenus des personnes physiques et de la taxe d'habitation fournis à l'Insee par la Direction Générale des Impôts. L'INSEE procède au rapprochement de ces fichiers afin d'estimer le revenu fiscal à des niveaux géographiques finement localisés, tout en préservant la confidentialité des données. Les données sont exprimées suivant trois niveaux d'observation : ménage, personne et unité de consommation. Elles se présentent sous la forme d'indicateurs de distribution et d'indicateurs de structure qui permettent deux types d'analyses : une analyse de la distribution des revenus et une analyse de la structure des revenus. L'unité utilisée pour toutes les données monétaires est l'euro.
DOI: 10.13144/lil-0325
title: Capacité des communes en hébergement touristique - 2002

description: Les données d'hébergement touristique sont disponibles par commune. Elles portent sur : * l'hôtellerie classée (de 0 à 4 étoiles Luxe), * les campings classés (de 1 à 4 étoiles). Elles incluent également le dénombrement des résidences secondaires et des logements occasionnels au recensement de la population de 1999. Les fichiers contiennent des données au 1er janvier 2002 pour toutes les communes présentes dans le Code Officiel Géographique (COG). Le champ couvert est celui de la France métropolitaine.
DOI: 10.15156/bio/sh0174871.10fu
title: SH0174871.10FU

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/sh0174872.10fu
title: SH0174872.10FU

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/sh0174873.10fu
title: SH0174873.10FU

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/sh0174874.10fu
title: SH0174874.10FU

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/sh0174875.10fu
title: SH0174875.10FU

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/sh0174876.10fu
title: SH0174876.10FU

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/sh0174877.10fu
title: SH0174877.10FU

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/sh0174878.10fu
title: SH0174878.10FU

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/sh0174879.10fu
title: SH0174879.10FU

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: 10.5281/zenodo.16656501
title: CMS dijet anomaly detection dataset

description: This record contains simulated dijet events released by the CMS Collaboration to support the development of anomaly detection techniques. It consists in an unweighted sample of standard model background events and matching signal events. The variables, which describe the substructure of the two leading jets, include high-level observables such as subjetiness ratios as well as the four-momenta of up to 100 jets constituents. Inputs needed to compute uncertainties are also included for signal events. The detector simulation correspond to years 2016–2018. The simulation, preprocessing, and file format are described in the related publication.

The files background_0.h5 through background_19.h5 contain 24 million background events, which corresponds to an effective luminosity of about 27/fb. Other h5 files each contain events generated for a signal model considered in the paper. They follow the naming convention of the original datasets, a subset of which can be found on the CERN Open Data Portal together with the production cards. The name of the datasets used to construct the background sample are listed in the file background_samples.txt. All source datasets openly available at the time of publication are also linked at the bottom of this page.

Starting from the MiniAOD format, the events have first been converted to the PFNano format. Commit bbb8657c2e223faf38557d3caca304716da8c813 was used in CMSSW_10_6_X (CMSSW usage instructions can be found in the CMS Open Data Guide). The preselection and conversion to h5 format are performed by running the code provided in H5_maker.zip in the same CMSSW release; usage instructions can be found in the corresponding README.
DOI: 10.5281/zenodo.16656500
title: CMS dijet anomaly detection dataset

description: This record contains simulated dijet events released by the CMS Collaboration to support the development of anomaly detection techniques. It consists in an unweighted sample of standard model background events and matching signal events. The variables, which describe the substructure of the two leading jets, include high-level observables such as subjetiness ratios as well as the four-momenta of up to 100 jets constituents. Inputs needed to compute uncertainties are also included for signal events. The detector simulation correspond to years 2016–2018. The simulation, preprocessing, and file format are described in the related publication.

The files background_0.h5 through background_19.h5 contain 24 million background events, which corresponds to an effective luminosity of about 27/fb. Other h5 files each contain events generated for a signal model considered in the paper. They follow the naming convention of the original datasets, a subset of which can be found on the CERN Open Data Portal together with the production cards. The name of the datasets used to construct the background sample are listed in the file background_samples.txt. All source datasets openly available at the time of publication are also linked at the bottom of this page.

Starting from the MiniAOD format, the events have first been converted to the PFNano format. Commit bbb8657c2e223faf38557d3caca304716da8c813 was used in CMSSW_10_6_X (CMSSW usage instructions can be found in the CMS Open Data Guide). The preselection and conversion to h5 format are performed by running the code provided in H5_maker.zip in the same CMSSW release; usage instructions can be found in the corresponding README.
DOI: 10.15468/dl.dnetvv
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Month is greater than or equal to January",
 "Country is United States of America",
 "TaxonKey is Sirenia"
 ]
}

 The dataset includes 96 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004248-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhqcc5
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Epigaea repens L.",
 "Year 2000-2024"
 ]
}

 The dataset's 1 records were derived from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016593-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ht9an
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coreopsis intermedia Sherff"
 ]
}

 The dataset includes 189 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145623-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsjzpf
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parodon magdalenensis Londoño-Burbano, Román-Valencia & Taphorn, 2011"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004248-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwm55j
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neria japonica (Hennig, 1938)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145628-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.noebyt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uroxys Westwood, 1842",
 "Country is Brazil"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004248-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kauwy
title: Occurrence Download

description: A dataset containing 88721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 88721 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145630-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyhjrk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coreopsis mollicula Sagást. & Sánchez Vega"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145652-230224095556074/datasets/export for details.
DOI: 10.15468/dl.prc5av
title: Occurrence Download

description: A dataset containing 13476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((69.37031999999999 32.097476, 69.37031999999999 49.184106666666665, 35.32496433333334 49.184106666666665, 35.32496433333334 32.097476, 69.37031999999999 32.097476))",
 "EventDate is 2019-02-01,2019-02-28"
 ]
}

 The dataset includes 13476 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032768-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcknhn
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus nayaritensis J.A.Allen, 1890",
 "Country is Mexico",
 "Geometry POLYGON((-107.105712 23.140359,-107.105712 20.468189,-103.590087 20.468189,-103.590087 23.140359,-107.105712 23.140359))"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004117-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyb33m
title: Occurrence Download

description: A dataset containing 63578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((69.37031999999999 32.097476, 69.37031999999999 49.184106666666665, 35.32496433333334 49.184106666666665, 35.32496433333334 32.097476, 69.37031999999999 32.097476))",
 "EventDate is 2019-09-01,2019-09-30"
 ]
}

 The dataset includes 63578 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032786-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.