cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210676.10fu
title: SH0210676.10FU

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/sh0210677.10fu
title: SH0210677.10FU

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/sh0210678.10fu
title: SH0210678.10FU

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/sh0210679.10fu
title: SH0210679.10FU

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/sh0210680.10fu
title: SH0210680.10FU

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/sh0210681.10fu
title: SH0210681.10FU

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/sh0210682.10fu
title: SH0210682.10FU

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/sh0210683.10fu
title: SH0210683.10FU

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/sh0210684.10fu
title: SH0210684.10FU

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/sh0210685.10fu
title: SH0210685.10FU

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.vafkkz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphanius arakensis Teimori, Esmaeili, Gholami, Zarei & Reichenbacher, 2012"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049953-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay8xdy
title: Occurrence Download

description: A dataset containing 1971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spiraea splendens Baumann ex K.Koch"
 ]
}

 The dataset includes 1971 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028832-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lftdb9
title: Occurrence Download

description: A dataset containing 1911 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Inventaire éclair de Natureparif 2017"
 ]
}

 The dataset includes 1911 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026305-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iiuxcs
title: Occurrence Download

description: A dataset containing 43318 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire de la flore des Landes 2012-2019 - Inventaire de la flore des Landes 2016"
 ]
}

 The dataset includes 43318 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026294-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y0phuw
title: Occurrence Download

description: A dataset containing 36565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Vipera berus (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36565 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041553-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhuuem
title: Occurrence Download

description: A dataset containing 2076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus tortuosus Kellogg"
 ]
}

 The dataset includes 2076 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028833-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cv23o
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Odontesthes Evermann & Kendall, 1906"
 ]
}

 The dataset includes 240 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019574-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmeurk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angraecum spicatum (Cordem.) Schltr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017477-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25296211
title: Data.xlsx

description: In order to scientifically assess the current status of municipal waste separation in cities, identify key issues, discover best practices, and assist city authorities in improving waste separation management, the Institute of Public and Environmental Affairs (IPE) and Vanke Foundation, under the guidance of the China Forum of Environmental Journalists, jointly launched the "Snapshot Lightens Up Neighborhood Garbage Sorting" campaign in 2020.In 2022, IPE optimized the Garbage Sorting Snapshot questionnaire, and evaluated 100 cities whose number of Snapshots largely met the statistical requirements of the sample. We chose these 100 cities as the case studies for this study. Data for 100 municipal waste sorting evaluations from https://www.ipe.org.cn/reports/report_21885.htmlThanks to the efforts of IPE and the Vanke Foundation.<br>
DOI: 10.6084/m9.figshare.25296211.v3
title: Data.xlsx

description: In order to scientifically assess the current status of municipal waste separation in cities, identify key issues, discover best practices, and assist city authorities in improving waste separation management, the Institute of Public and Environmental Affairs (IPE) and Vanke Foundation, under the guidance of the China Forum of Environmental Journalists, jointly launched the "Snapshot Lightens Up Neighborhood Garbage Sorting" campaign in 2020.In 2022, IPE optimized the Garbage Sorting Snapshot questionnaire, and evaluated 100 cities whose number of Snapshots largely met the statistical requirements of the sample. We chose these 100 cities as the case studies for this study. Data for 100 municipal waste sorting evaluations from https://www.ipe.org.cn/reports/report_21885.htmlThanks to the efforts of IPE and the Vanke Foundation.<br>
DOI: 10.15468/dl.qxnulp
title: Occurrence Download

description: A dataset listing the 38 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dacrydium Torell, 1859"
 ]
}

 The dataset's 38 records were derived from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012629-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcojcp
title: Occurrence Download

description: A dataset containing 367256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryza sativa L."
 ]
}

 The dataset includes 367256 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017493-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk2huz
title: Occurrence Download

description: A dataset containing 9219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Siphonaptera"
 ]
}

 The dataset includes 9219 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021800-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9mw7n
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrofundulus Myers, 1932"
 ]
}

 The dataset includes 88 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001324-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0g17hw
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atherinella guatemalensis (Günther, 1864)"
 ]
}

 The dataset includes 167 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001324-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbze6g
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Nyctinomops macrotis (Gray, 1840)"
 ]
}

 The dataset includes 311 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198584-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95bwvt
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscadelphus Rock"
 ]
}

 The dataset includes 342 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001324-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fdo2w
title: Occurrence Download

description: A dataset containing 1712 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligoryzomys flavescens (Waterhouse, 1837)"
 ]
}

 The dataset includes 1712 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021790-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxkl0c
title: Occurrence Download

description: A dataset containing 11293527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosaceae",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 11293527 records from 2348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049960-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18120538
title: Linked collectors and determiners for: Composición y distribución espacial del fitoplancton en aguas oceánicas del Caribe sur colombiano.

description: Natural history specimen data linked to collectors and determiners held within, "Composición y distribución espacial del fitoplancton en aguas oceánicas del Caribe sur colombiano". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/b00c7f09-f77a-4fa4-8b5c-58133c833033 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/b00c7f09-f77a-4fa4-8b5c-58133c833033. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.3gah84
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parthenium integrifolium"
 ]
}

 The dataset includes 416 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070561-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18120542
title: Linked collectors and determiners for: Two new species of the genus Uenoites Belousov et Kabak, 2016 from mountains of Myanmar (Coleoptera: Carabidae: Trechini).

description: Natural history specimen data linked to collectors and determiners held within, "Two new species of the genus Uenoites Belousov et Kabak, 2016 from mountains of Myanmar (Coleoptera: Carabidae: Trechini)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/b0230e05-0a3b-4337-850c-384db063f5d6 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/b0230e05-0a3b-4337-850c-384db063f5d6. Formatted as a Frictionless Data package.