cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0171165.10fu
title: SH0171165.10FU

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/sh0171166.10fu
title: SH0171166.10FU

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.hmnnbv
title: Occurrence Download

description: A dataset containing 11028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies lasiocarpa",
 "HasCoordinate is true",
 "Year is 1900,2026"
 ]
}

 The dataset includes 11028 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001415-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171167.10fu
title: SH0171167.10FU

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/wqt7yr
title: Center for Air, Climate, & Energy Solutions (CACES)

description: The Center for Air, Climate, & Energy Solutions (CACES) Empirical Model (v1) dataset provides estimated annual average, population-weighted concentrations of criteria air pollutants for states, counties, Census tracts, and Census block groups in the contiguous United States during 1979 to 2020. This dataset is based on a land use regression model that incorporates data from ground-based regulatory monitors, satellite-based observations, and land use and land cover information. This dataset covers the following criteria air pollutants: particulate matter (PM2.5 and PM10), ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO), and nitrogen dioxide (NO2). The CACES Empirical Model v1 dataset is intended to support various applications in public health, risk assessment, planning, and policy. It has been used in health effects and health disparities research projects. Novel measurement and modeling approaches can be applied to understand spatial and temporal differences in human exposures and health outcomes.
DOI: 10.15156/bio/sh0171168.10fu
title: SH0171168.10FU

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/sh0171169.10fu
title: SH0171169.10FU

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/sh0171170.10fu
title: SH0171170.10FU

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/sh0171171.10fu
title: SH0171171.10FU

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/sh0171172.10fu
title: SH0171172.10FU

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/sh0171173.10fu
title: SH0171173.10FU

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/sh0171174.10fu
title: SH0171174.10FU

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.664k8g
title: Occurrence Download

description: A dataset containing 11178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1060.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plethodon cinereus (Green, 1818)",
 "Year 1960-2020"
 ]
}

 The dataset includes 11178 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075933-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12757/bbk.sifct.200101-202101.01.01
title: Statistics on international financial and capital transactions
title: SIFCT
DOI: 10.12757/bbk.austanat20v1
title: External Position of Banks - domestic institutes

description: AUSTA
description: Full coverage of domestic banks
description: Full coverage of domestic banks
DOI: 10.12757/bbk.austafil20v1
title: External Position of Banks - foreign branches and subsidiaries

description: AUSTA
DOI: 10.15468/dl.xnqzgg
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asthenes helleri (Chapman, 1923)"
 ]
}

 The dataset includes 1008 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056699-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12757/bbk.austacon20v1
title: External Position of Banks - consolidated banks

description: AUSTA
DOI: 10.12757/bbk.bista.99q1-20q4.01.01
title: Monthly balance sheet statistics
title: BISTA
DOI: 10.15468/dl.ysg8cf
title: Occurrence Download

description: A dataset containing 23264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cercis siliquastrum L."
 ]
}

 The dataset includes 23264 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234996-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/24e59w
title: Étude des peuplements d'araignées de Nouvelle-Aquitaine menée en 2020 par le CEN Nouvelle-Aquitaine-Observations faunistiques fortuites réalisées par le CEN Nouvelle-Aquitaine

description: Observations faunistiques fortuites réalisées par le CEN Nouvelle-Aquitaine
DOI: 10.15468/dl.k62bu2
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ribes canescens Pittier"
 ]
}

 The dataset includes 58 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0342548-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21249/dzhw:valcom2s1:1.0.0
title: ValCom2: Die Rolle schulfachspezifischer Kompetenz- und Wertüberzeugungen für die Aktualgenese von Erfolgserwartung und subjektivem Aufgabenwert bei unbekannten Lerninhalten (Studie 1)
title: ValCom2: Value and competence beliefs in adulthood (Study 1)

description: Dieser Datensatz stammt aus Studie 1 des ValCom2 Projekts. Das Projekt untersucht die Aktualgenese von Erfolgserwartung und subjektivem Aufgabenwert bei unbekannten Lerninhalten. Es handelt sich um ein experimentelles Survey Design mit einer Randomisierung auf eine von zwei Gruppen (Projektmanagementkursen mit einer mathematischen versus sprachlichen Ausrichtung). Der Fragebogen bestand aus Fragen zur Demographie, schul- und studienfachspezifischer Motivation (Fähigkeitsselbstkonzept, intrinsischer Wert und Anstrengungsüberzeugungen), Motivation bezogen auf den Projektmanagementkurs, Vorwissen zu Studienfächern und zu Projektmanagement, Need For Cognition sowie wahrgenommene Ähnlichkeit zwischen Schul- und Studienfächern bzw. den Projektmanagementkursen.
description: This data set stems from the first study of the ValCom2 Project. The project examines the formation of Value and Competence beliefs in adulthood. We used an experimental survey design and randomized participants to one of two conditions (project management courses with verbal or mathematical content). The questionnaire consisted of questions regarding demographics, school-specific and study-specific self-concept of ability, school-specific and study-specific motivation (intrinsic task value, self-concept of ability, effort), Motivation regarding the project management course, prior knowledge of study programs and project management course, need for cognition as well as perceived similarity between school subjects and study programs and the project management course.
description: Self-administered questionnaire: Web-based
description: Erhebung ValCom2 - Studie1: Standardisierte Onlinebefragung
description: Survey ValCom 2 - Study 1: Standardised online survey
description: <strong>Erhebung ValCom2 - Studie1:</strong>
 Studienanfänger*innen in Deutschland
description: <strong>Survey ValCom 2 - Study 1:</strong>
 University entrants in Germany
description: Nicht-Wahrscheinlichkeitsauswahl
DOI: 10.15468/dl.98dfck
title: Occurrence Download

description: A dataset containing 14649937 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Year 2020-2024",
 "Country is one of (Colombia)",
 "HasCoordinate is one of (true)"
 ]
 }
 ]
}

 The dataset includes 14649937 records from 826 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084432-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hymhzs
title: Waterbird Census in Portugal

description: This dataset is the output of a national waterbird monitoring programme coordinated by ICNF that collects information on the number and distribution of waterbirds at wetland sites in Portugal and is part of the International Waterbird Census project (African-Eurasian Waterbird Census – Europe). The dataset consists of annual waterbird counts, undertaken from 2000 to 2013, of species regularly encountered at wetlands and observed in all types of natural and man-made wetlands in mainland Portugal. In this dataset there is a record of 84 waterbird species, 20 families and 11 orders (Accipitriformes, Anseriformes, Charadriiformes, Ciconiiformes, Gaviiformes, Gruiformes, Pelecaniformes, Phoenicopteriformes, Podicipediformes, Strigiformes, Suliformes).
DOI: 10.15468/dl.dqefrd
title: Occurrence Download

description: A dataset containing 6386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Accipiter nisus (Linnaeus, 1758)",
 "Year 2000-2022"
 ]
}

 The dataset includes 6386 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084436-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.neh3vf
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mormyrus caschive Linnaeus, 1758"
 ]
}

 The dataset includes 59 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020719-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vtqlbk
title: Atlas communaux de la Biodiversité du Parc Naturel Régional des Landes de Gascogne (PNRLG)-Inventaire des amphibiens 2014

description: Données de présence amphibiens collectées en partenariat avec la LPO Aquitaine sur la période de mars à juillet 2014.
Un dénombrement des individus est renseigné pour toutes les observations.
DOI: 10.23664/ahri.dreams.multilevel.standardized
title: DREAMS Multilevel Standardized Datasets
DOI: 10.15468/dl.dct1l3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crypturgus cribrellus Reitter, 1895"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003746-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atba7c
title: Occurrence Download

description: A dataset containing 1137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Afrocarpus falcatus (Thunb.) C.N.Page"
 ]
}

 The dataset includes 1137 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054985-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.go0jrh
title: Occurrence Download

description: A dataset containing 116776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1981-2020",
 "Geometry POLYGON((-4.2627 59.7121,-8.48145 58.12432,-7.25098 55.92459,-4.70215 54.47004,-6.63574 49.32512,0.4834 50.23315,2.15332 51.34434,2.41699 52.85586,-1.01074 59.31077,-4.2627 59.7121))",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Rumex obtusifolius L.",
 "TaxonKey is Rumex crispus L.",
 "TaxonKey is Rumex conglomeratus Murray"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 116776 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027984-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpta6x
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lontra longicaudis annectens (Major, 1897)"
 ]
}

 The dataset includes 171 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006777-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8aenk
title: Occurrence Download

description: A dataset containing 1303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus squamata Buch.-Ham. ex D.Don",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1303 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077485-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.