cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vh8ak7
title: Occurrence Download

description: A dataset containing 213259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sanguisorba officinalis"
 ]
}

 The dataset includes 213259 records from 1118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006202-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13333248
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.14473/zbp100
title: Život během pandemie - spojený soubor (1. až 26. vlna)
DOI: 10.15468/dl.mudmhx
title: Occurrence Download

description: A dataset containing 18479975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "Year 1990-2016",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18479975 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077815-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7anpme
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Rwanda",
 "TaxonKey is Gerbilliscus validus (Bocage, 1890)"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004084-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pys6gh
title: Occurrence Download

description: A dataset containing 25123 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 (Conyza sumatrensis (Retz.) E.Walker)"
 ]
}

 The dataset includes 25123 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084450-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/d4qfus
title: Transfert de fichier de données naturalistes d'observateurs indépendants à l'Observatoire FAUNA-Données naturalistes de Inge Van Halder

description: Données naturalistes sur la faune collectées par Inge Van Halder, ayant fait l'objet d'un transfert de fichiers de données (saisie VisioNature - Faune Aquitaine).
DOI: 10.15468/dl.ba868t
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotaphopeltis degeni (Boulenger, 1906)"
 ]
}

 The dataset includes 133 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005790-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e549cv
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is STP.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2252 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290185-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.burd8t
title: Occurrence Download

description: A dataset containing 265307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ovis canadensis Shaw, 1804, Ovis dalli Nelson, 1884, Oreamnos americanus (Blainville, 1816), Ovibos moschatus (Zimmermann, 1780), Bison bison (Linnaeus, 1758), Antilocapra americana (Ord, 1815), Odocoileus hemionus (Rafinesque, 1817), Odocoileus virginianus (Zimmermann, 1780), Cervus canadensis Erxleben, 1777, Alces americanus (Clinton, 1822), Rangifer tarandus (Linnaeus, 1758), Tayassu tajacu (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 265307 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266154-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wd94nh
title: RN 7 - Déviation de Livron-Loriol - Inventaire de la flore sur une zone d’étude

description: Passage d'un expert botaniste sur l'emprise durant 13 jours, répartis des mois de mars 2011 à septembre 2011 ainsi que mars à juin 2017. Relevés floristico-écologiques exhaustifs sur certains habitats naturels homogènes, relevés le long d'un itinéraire de prospection parcourant l'ensemble de la zone d'étude et relevés ciblés sur les taxons présentant un statut de protection ou de rareté/menace.
DOI: 10.23664/an01-03.dataset.6.1
title: ALPHA Network residency data for uMkhanyakude (AHRI) from January 2000 to December 2020
DOI: 10.15468/dl.otxrry
title: Occurrence Download

description: A dataset containing 7107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tomicus piniperda (C.Linnaeus, 1758)"
 ]
}

 The dataset includes 7107 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003158-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48719/belab.cbc1121_01
title: Microdata on consolidated non-financial corporate groups
title: CBC

description: Microdata available at the Central Balance Sheet Data Office on consolidated groups.
The Banco de España Central Balance Sheet Data Office is a service that analyses the economic and financial information of Spanish non-financial groups, based on the information provided by the Spanish Association of Mercantile and Property Registrars (CORPME), which collaborates with BELab, and the Spanish National Securities Market Commission (CNMV).
description: Source of data: The CNMV for listed non-financial groups and obligatory filings of consolidated annual accounts in mercantile registries (CBB database) under the agreement entered into with CORPME.
Universe: Economic and financial information of consolidated non-financial groups
Analisys unit: consolidated group (only non-financial groups)
description: Sampling en Sample. Non-financial groups which submit their annual accounts, from a direct and voluntary collaboration and from mercantile registries, to Banco de España in the context of the compilation of statistics on Non-Financial Companies.
DOI: 10.48719/belab.cbi1121_01
title: Microdata on individual enterprises
title: CBI

description: Microdata available at the Central Balance Sheet Data Office on individual enterprises.
The Banco de España Central Balance Sheet Data Office is a service that analyses the economic and financial information of Spanish non-financial corporations and groups, including both that directly contributed by the reporting firms and that provided by the Spanish Association of Mercantile and Property Registrars (CORPME), which collaborates with BELab.
description: Source of data: Direct and voluntary data contributions by reporting firms (CBA database) and obligatory filings of annual accounts in mercantile registries (CBB database) under the agreement entered into with CORPME.
Universe: Economic and financial information on non-financial corporations 
Analysis unit: individual company
description: Sample. Non-financial companies which submit their annual accounts, from a direct and voluntary collaboration and from mercantile registries, to Banco de España in the context of the compilation of statistics on Non-Financial Companies.
DOI: 10.48719/belab.cir1221_01
title: Microdata on loans to legal persons from the Central Credit Register
title: CIR

description: The CIR microdata constitute a granular, transaction-by-transaction database with information on loans granted by financial institutions to legal persons resident and non-resident in Spain.
The data offered form part of the information maintained by the Central Credit Register (CIR)
description: Source of data: Information reported pursuant to Banco de España Circular 1/2013 on the Central Credit Register
Universe: Information on loans to legal persons
Analysis unit: Individual enterprise
description: Population
DOI: 10.23664/ahri.isisekelosempilo.baseline.v2.0
title: Isisekelo Sempilo:Baseline Recruitment of Participants.Release Version 2.0
DOI: 10.15468/dl.fh8qbg
title: Occurrence Download

description: A dataset containing 1890 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apiospora sphaerosperma (Pers.) Pintos & P.Alvarado"
 ]
}

 The dataset includes 1890 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084452-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qz6uyt
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Vasconcellea quercifolia A.St.-Hil."
 ]
}

 The dataset includes 430 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056305-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7dtg3
title: Occurrence Download

description: A dataset containing 76964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Butomus umbellatus L.",
 "Year 1000-2021"
 ]
}

 The dataset includes 76964 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314566-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hvzry
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dermophis mexicanus"
 ]
}

 The dataset includes 1585 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006900-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gky5gd
title: Occurrence Download

description: A dataset containing 65409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.02757 16.71524,-90.10923 15.88377,-89.21094 15.87263,-89.16269 16.70039,-90.02757 16.71524))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 65409 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006875-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f37m5g
title: Occurrence Download

description: A dataset containing 476107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 476107 records from 2295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006865-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171340.10fu
title: SH0171340.10FU

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/sh0171341.10fu
title: SH0171341.10FU

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/sh0171342.10fu
title: SH0171342.10FU

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/sh0171343.10fu
title: SH0171343.10FU

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/sh0171344.10fu
title: SH0171344.10FU

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/sh0171345.10fu
title: SH0171345.10FU

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/sh0171346.10fu
title: SH0171346.10FU

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/sh0171347.10fu
title: SH0171347.10FU

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/ovo340
title: Climate Risk and Resilience Portal (CRRPort)

description: The Climate Risk and Resilience Portal (ClimRR) allows visualization of climate projections for the United States at a small geographic scale. The projections characterize three decadal time periods, historical (1995-2004), mid-century (2045-2054), and end-of-century (2085 – 2094)] for two carbon emission scenarios, referred to as Representative Concentration Pathway (RCP) 4.5 (emissions peak around 2040, then decline) ) and RCP 8.5 (emissions rates continue to rise). Climate projection data from three Global Climate Models that offer spatial resolutions from 100 – 200 km are combined, then a regional weather model for North America, the Weather Research and Forecasting model, is used to downscale the combined data to 12 km grid cells across the United States. The data include extreme temperatures (hot and cold), cooling and heating degree days, heat index, wind, fire weather index, and precipitation/no precipitation, which can be seen in different map layers. Data may also be viewed based on different Resilience map layers, e.g., Census Tracts: Population Age 65 and Older. Reports based on the viewing options selected are generated as PDF or CSV files. In addition, a national map for each data category shown above are available to visualize hazard layers alongside key resilience indicators, regional boundaries, and more. The insight into climate risks that ClimRR offers city and community leaders can help them prioritize vulnerable areas that need the most attention and future funding to improve resilience.
DOI: 10.15156/bio/sh0171348.10fu
title: SH0171348.10FU

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.