cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yfx6jv
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis nubicola Z.Y.Su & Lidén"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147431-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gi8wsq
title: Occurrence Download

description: A dataset containing 14848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carnivora",
 "Country is Mexico"
 ]
}

 The dataset includes 14848 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004107-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17898/adp_zda01_v1
title: Povračilni ukrepi ZDA
title: Retaliatory measures of USA
DOI: 10.17898/adp_zdrav04_v1
title: Raziskava o navadah ljudi pri uporabi zdravil
title: Survey on drug usage habits
DOI: 10.13144/lil-0857
title: Enquête Revenus Fiscaux - 1997

description: L'enquête Revenus Fiscaux (ERF) de 1997 consiste en un appariement statistique du fichier de l'enquête Emploi annuelle de 1998 avec les fichiers des déclarations fiscales de l'année 1997.Pour disposer du niveau de vie des ménages, des prestations sociales (allocations familiales, minima sociaux, allocations de logement) leur sont ensuite imputées, sur la base des barèmes en vigueur ou à l'aide de simulations économétriques. L'enquête ERF a pour objectif de mesurer un revenu économique : ce dont les ménages ont disposé au cours d'une période pour consommer ou épargner. Elle permet de produire des statistiques et de réaliser des études en matière de revenus, de niveau de vie, de pauvreté monétaire des ménages résidant en France métropolitaine et ce, à l'aide d'indicateurs usuels d'analyse de la distribution des revenus (nombres, quartiles, déciles, moyenne, médiane, etc.) et d'indicateurs de structure et de composition des ménages.
DOI: 10.15468/dl.khx5t6
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Capra sibirica (Pallas, 1776)"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004331-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13144/lil-0861
title: Enquête Revenus Fiscaux - 2001

description: L'enquête Revenus Fiscaux (ERF) de 2001 consiste en un appariement statistique du fichier de l'enquête Emploi annuelle de 2002 avec les fichiers des déclarations fiscales de l'année 2001.Pour disposer du niveau de vie des ménages, des prestations sociales (allocations familiales, minima sociaux, allocations de logement) leur sont ensuite imputées, sur la base des barèmes en vigueur ou à l'aide de simulations économétriques. L'enquête ERF a pour objectif de mesurer un revenu économique : ce dont les ménages ont disposé au cours d'une période pour consommer ou épargner. Elle permet de produire des statistiques et de réaliser des études en matière de revenus, de niveau de vie, de pauvreté monétaire des ménages résidant en France métropolitaine et ce, à l'aide d'indicateurs usuels d'analyse de la distribution des revenus (nombres, quartiles, déciles, moyenne, médiane, etc.) et d'indicateurs de structure et de composition des ménages.
DOI: 10.15468/dl.bdhwwk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix eriocephala",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013802-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxafr5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix eriocephala",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013801-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neymnd
title: Occurrence Download

description: A dataset containing 2169 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Lycoris squamigera)"
 ]
}

 The dataset includes 2169 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013803-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17196287
title: 20250924_Ben_Daniels_PPL_C18
DOI: 10.5281/zenodo.17196288
title: 20250924_Ben_Daniels_PPL_C18
DOI: 10.17608/physiome.30203617
title: Reproducible implementation for article: Energy-based bond graph models of glucose transport with SLC transporters

description: Accompanying OMEX file for the Physiome article "Energy-based bond graph models of glucose transport with SLC transporters".An OMEX archive is the Open Modelling Exchange format, the technical specification defining the format of the COMBINE archive, to allow it to be used within the COMBINE network. It contains all files required for the implementation of the model and reproduction of the simulation results presented. It can be opened by any type of ZIP reader - just rename the file extension from “.omex” to “.zip”.
DOI: 10.17608/physiome.30203617.v1
title: Reproducible implementation for article: Energy-based bond graph models of glucose transport with SLC transporters

description: Accompanying OMEX file for the Physiome article "Energy-based bond graph models of glucose transport with SLC transporters".An OMEX archive is the Open Modelling Exchange format, the technical specification defining the format of the COMBINE archive, to allow it to be used within the COMBINE network. It contains all files required for the implementation of the model and reproduction of the simulation results presented. It can be opened by any type of ZIP reader - just rename the file extension from “.omex” to “.zip”.
DOI: 10.15468/dl.qu9vw3
title: Occurrence Download

description: A dataset containing 17192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sitta europaea",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17192 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013804-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.349thh
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.133 18.31972,-84.70882 18.31972,-84.70882 26.0979,-96.08134 24.43504,-104.133 26.0979,-104.133 18.31972))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anchoa hepsetus",
 "Year 2000-2025"
 ]
}

 The dataset includes 76 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6qpmv
title: Occurrence Download

description: A dataset containing 491251 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Phleum pratense)"
 ]
}

 The dataset includes 491251 records from 2378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013777-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqtzv2
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-46.23682 -23.73425,-46.35183 -23.8345,-46.30445 -23.88359,-46.18567 -23.78231,-46.23682 -23.73425))"
 ]
}

 The dataset includes 706 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011715-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmba6h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pennisetum benthamii var. ternatum Hack."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007110-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubtws3
title: Occurrence Download

description: A dataset containing 3271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Limoniastrum monopetalum (L.) Boiss.",
 "Year 1900-2021"
 ]
}

 The dataset includes 3271 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081122-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afqex5
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypselodelphys poggeana (K.Schum.) Milne-Redh.",
 "Year 1000-2020"
 ]
}

 The dataset includes 195 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079582-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26tcnz
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthemblemaria hancocki Myers & Reid, 1936"
 ]
}

 The dataset includes 127 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056507-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176141.10fu
title: SH0176141.10FU

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/sh0176142.10fu
title: SH0176142.10FU

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/sh0176143.10fu
title: SH0176143.10FU

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/sh0176144.10fu
title: SH0176144.10FU

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/sh0176145.10fu
title: SH0176145.10FU

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/sh0176146.10fu
title: SH0176146.10FU

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: 10.7910/dvn/xgzba7
title: gridMET

description: The gridMET dataset provides near real-time daily surface meteorological information from 1979 to the present. The dataset covers the contiguous United States and southern British Columbia, Canada, with spatial resolution of ~4 km (1/24th degree). Data is updated daily with the most recent available data for the previous day. The dataset provides a range of surface meteorological variables, such as temperature, humidity, and wind speed, that are used as inputs for ecological models. Additionally, gridMET provides several variables, such as the burning index and energy release component, that are used by fire management agencies to assess wildfire potential. The meteorology dataset is produced using climatically aided interpolation with a combination of a higher spatial resolution dataset (PRISM) and a long-term higher temporal resolution dataset (NLDAS-2)
description: <b>Intended Use</b>Geospatial exposure model developmentLong-term studiesLarge-scale studiesLongitudinal studiesOtherEcological modelingHydrological and/or agricultural modelingWildfire management related analyses<br><b>Strengths</b>Dataset supports analysis of differences in monthly climate variables over multiple decades across the continental United States locationsgridMET is spatially and temporally complete, high-resolution gridded dataset of surface meteorological variables that supports analysis of spatial and temporal climate variables at local scalesData have been validated against results from a network of weather stationsgridMET is a readily available source of climate data for the continental United States with multiple tools supporting data download and visualization<br><b>Limitations</b>gridMET data inherit uncertainties and other limitations from input climate datasetsMost recent data are considered provisional and subject to changeSolar radiation is provided for a planar surface and not adjusted for topographic effectsA day is technically considered a to be from midnight-to-midnight Mountain Standard TimegridMET data inherit uncertainties and other limitations from input climate datasetsMost recent data are considered provisional and subject to changeSolar radiation is provided for a planar surface and not adjusted for topographic effectsA day is technically considered a to be from midnight-to-midnight Mountain Standard Time<br><b>Suggested Audience</b>Researcher<br>
DOI: 10.15156/bio/sh0176147.10fu
title: SH0176147.10FU

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/sh0176148.10fu
title: SH0176148.10FU

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.