cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive111205.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102925.10fu
title: SH0102925.10FU

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: 10.13145/bacdive111206.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111206.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102926.10fu
title: SH0102926.10FU

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/sh0102927.10fu
title: SH0102927.10FU

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: 10.13145/bacdive111207.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111207.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102928.10fu
title: SH0102928.10FU

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: 10.13145/bacdive111208.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111208.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102929.10fu
title: SH0102929.10FU

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: 10.13145/bacdive111209.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive111209.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102930.10fu
title: SH0102930.10FU

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.17307332
title: Public Policies and Gender: Public Infrastructure Survey (Fiscal Observatory, University of Murcia, 2014)/ Políticas Públicas y Género: Infraestructuras Públicas (Observatorio Fiscal, Universidad de Murcia, 2014)

description: This dataset is part of the research project “Public Policies and Gender”, conducted in July 2014 by the Fiscal Observatory of the University of Murcia, in collaboration with the European Institute for Gender Equality (EIGE) and the Institute for Women of the Spanish Ministry of Health, Social Services and Equality.

The study explores citizens’ perceptions of well-being associated with public and private infrastructures financed with public funds, from a gender and public policy perspective.

Data were collected through a structured telephone survey, asking respondents about the importance and perceived benefits that different types of infrastructures provide to their personal well-being.All information was gathered following strict ethical and confidentiality standards. Results are presented in aggregated and anonymized form, and are intended exclusively for scientific research purposes.

Temporal coverage: July 2014Geographical coverage: SpainLanguage: SpanishData type: Social survey / Citizen perception data

(Spanish version)

Este conjunto de datos forma parte de la investigación titulada “Políticas Públicas y Género”, desarrollada en julio de 2014 por el Observatorio Fiscal de la Universidad de Murcia, en colaboración con el Instituto Europeo de Igualdad de Género (EIGE) y el Instituto de la Mujer del Ministerio de Sanidad, Asuntos Sociales e Igualdad (España).

El estudio analiza la percepción ciudadana del bienestar asociado a las infraestructuras públicas y privadas financiadas con fondos públicos, desde una perspectiva de género y políticas públicas.

Los datos proceden de una encuesta telefónica en la que se preguntó a los participantes sobre la importancia y el beneficio que consideran que las infraestructuras aportan a su bienestar.La recogida de información se realizó bajo estrictas normas éticas y de confidencialidad; los resultados se presentan de forma agregada y anónima, y su uso está limitado a fines de investigación científica.

Cobertura temporal: Julio de 2014Cobertura geográfica: EspañaIdioma: EspañolTipo de datos: Encuesta social / Percepción ciudadana
DOI: 10.5281/zenodo.17307333
title: Public Policies and Gender: Public Infrastructure Survey (Fiscal Observatory, University of Murcia, 2014)/ Políticas Públicas y Género: Infraestructuras Públicas (Observatorio Fiscal, Universidad de Murcia, 2014)

description: This dataset is part of the research project “Public Policies and Gender”, conducted in July 2014 by the Fiscal Observatory of the University of Murcia, in collaboration with the European Institute for Gender Equality (EIGE) and the Institute for Women of the Spanish Ministry of Health, Social Services and Equality.

The study explores citizens’ perceptions of well-being associated with public and private infrastructures financed with public funds, from a gender and public policy perspective.

Data were collected through a structured telephone survey, asking respondents about the importance and perceived benefits that different types of infrastructures provide to their personal well-being.All information was gathered following strict ethical and confidentiality standards. Results are presented in aggregated and anonymized form, and are intended exclusively for scientific research purposes.

Temporal coverage: July 2014Geographical coverage: SpainLanguage: SpanishData type: Social survey / Citizen perception data

(Spanish version)

Este conjunto de datos forma parte de la investigación titulada “Políticas Públicas y Género”, desarrollada en julio de 2014 por el Observatorio Fiscal de la Universidad de Murcia, en colaboración con el Instituto Europeo de Igualdad de Género (EIGE) y el Instituto de la Mujer del Ministerio de Sanidad, Asuntos Sociales e Igualdad (España).

El estudio analiza la percepción ciudadana del bienestar asociado a las infraestructuras públicas y privadas financiadas con fondos públicos, desde una perspectiva de género y políticas públicas.

Los datos proceden de una encuesta telefónica en la que se preguntó a los participantes sobre la importancia y el beneficio que consideran que las infraestructuras aportan a su bienestar.La recogida de información se realizó bajo estrictas normas éticas y de confidencialidad; los resultados se presentan de forma agregada y anónima, y su uso está limitado a fines de investigación científica.

Cobertura temporal: Julio de 2014Cobertura geográfica: EspañaIdioma: EspañolTipo de datos: Encuesta social / Percepción ciudadana
DOI: 10.15468/dl.6jxqhv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago depressa",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004860-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dxq82
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halysidota tessellaris J.E.Smith, 1797",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0395854-210914110416597/datasets/export for details.
DOI: 10.15468/dl.hu6a2d
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 14.7849275325108",
 "DecimalLongitude is less than 14.7879870856952",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 315 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017340-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p45835
title: Occurrence Download

description: A dataset containing 7806 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doronicum austriacum Jacq."
 ]
}

 The dataset includes 7806 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113214-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txy4j5
title: Occurrence Download

description: A dataset containing 1481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fagus longipetiolata Seemen"
 ]
}

 The dataset includes 1481 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080677-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4j0s2
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected"
 ]
 },
 "Year 1968-2018",
 "HasCoordinate is true",
 "TaxonKey is Drosera hookeri R.P.Gibson, B.J.Conn & Conran",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 229 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046103-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xn5g2
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.25_1)",
 "TaxonKey is one of (Vermivora chrysoptera (Linnaeus, 1766))"
 ]
 }
 ]
}

 The dataset includes 276 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044494-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e22akg
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zanthoxylum bungeanum Maxim."
 ]
}

 The dataset includes 940 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144754-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujxdns
title: Occurrence Download

description: A dataset containing 17551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus radiata A.Cunn. ex DC."
 ]
}

 The dataset includes 17551 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080671-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dihnkb
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-38.89893 -8.3492,-34.4165 -8.3492,-34.4165 -3.86426,-38.89893 -3.86426,-38.89893 -8.3492))",
 "TaxonKey is Cactaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 503 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046105-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaatnm
title: Occurrence Download

description: A dataset containing 12648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctereutes procyonoides (Gray, 1834)"
 ]
}

 The dataset includes 12648 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113198-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cqzu8
title: Occurrence Download

description: A dataset containing 15722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania pumilio (R.Br.) Mosyakin & Clemants",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15722 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080682-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i6xt0e
title: Occurrence Download

description: A dataset containing 1543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bolitoglossa pesrubra (Taylor, 1952)"
 ]
}

 The dataset includes 1543 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046108-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en2vqw
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is greater than or equal to 54.5617",
 "DecimalLatitude is less than or equal to 63",
 "DecimalLongitude is greater than or equal to 4.63",
 "DecimalLongitude is less than or equal to 20",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "TaxonKey is one of (Andrena barbilabris, 110185386, Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby), Andrena barbilabris (Kirby, 1802), 161535597, Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby, 1802), Andrena barbilabris (Kirby, 1802), 157808597, 130505872, Andrena barbilabris (Kirby, 1802), Andrena (Leucandrena) barbilabris (Kirby 1802), Andrena (Leucandrena) barbilabris (Kirby 1802), Sphecodes reticulatus Thomson 1870, Nomada alboguttata Herrich-Schäffer, 1839, Sphecodes ephippius (Linné 1767) Linne 1767, Sphecodes pellucidus Smith 1845, Sphecodes reticulatus Thomson, 1870, Sphecodes ephippius (Linnaeus, 1767), Sphecodes pellucidus Smith, 1845)"
 ]
}

 The dataset includes 1448 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095438-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfz7gx
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trochalopteron austeni Godwin-Austen, 1870",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 412 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017190-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwq9i9
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Coordinate reprojected",
 "Issue is Geodetic datum assumed WGS84"
 ]
 },
 "Year 1968-2018",
 "HasCoordinate is true",
 "TaxonKey is Drosera kenneallyi Lowrie",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046113-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.