cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0193007.10fu
title: SH0193007.10FU

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/sh0193008.10fu
title: SH0193008.10FU

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/sh0193009.10fu
title: SH0193009.10FU

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/sh0193010.10fu
title: SH0193010.10FU

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/sh0193011.10fu
title: SH0193011.10FU

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/sh0193012.10fu
title: SH0193012.10FU

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/sh0193013.10fu
title: SH0193013.10FU

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/sh0193014.10fu
title: SH0193014.10FU

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/sh0193015.10fu
title: SH0193015.10FU

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.e65p24
title: Occurrence Download

description: A dataset containing 200601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brotogeris chiriri"
 ]
}

 The dataset includes 200601 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001978-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0193016.10fu
title: SH0193016.10FU

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.wgvkq7
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mamíferos en el Ecoparque Pance - Cali, Fase I y II Proceso de declaratoria de un área protegida de carácter público"
 ]
}

 The dataset includes 72 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044595-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgxia1
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calceolaria adenanthera Molau"
 ]
}

 The dataset includes 50 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003535-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9kpm7
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Publicación de la obra: American species of Acacia (Leguminosae; Mimosoideae)"
 ]
}

 The dataset includes 1861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044540-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q9sr1
title: Occurrence Download

description: A dataset containing 1887 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aotus Illiger, 1811"
 ]
}

 The dataset includes 1887 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003535-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk79gs
title: Occurrence Download

description: A dataset containing 56088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-169.22434 73.30294,-166.12641 15.28099,-84.03131 21.88346,-77.06097 14.53258,-43.75824 50.59316,-67.76718 75.38961,-169.22434 73.30294))",
 "HasGeospatialIssue is false",
 "TaxonKey is Agromyzidae"
 ]
}

 The dataset includes 56088 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034837-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgesch
title: Occurrence Download

description: A dataset containing 17983 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis latrans Say, 1823"
 ]
}

 The dataset includes 17983 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003535-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggtywa
title: Occurrence Download

description: A dataset containing 8353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhodobryum roseum (Hedw.) Limpr.",
 "Year 1970-2023"
 ]
}

 The dataset includes 8353 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044588-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.heet26
title: Occurrence Download

description: A dataset containing 864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippopotamidae",
 "Year 2014-2023"
 ]
}

 The dataset includes 864 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000325-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3camy
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caiman crocodilus Linnaeus, 1758",
 "Country is Brazil"
 ]
}

 The dataset includes 250 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003535-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j28kwj
title: Occurrence Download

description: A dataset containing 2186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Artrópodos de los Parques Distritales Ecológicos de Montaña"
 ]
}

 The dataset includes 2186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044531-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h95zuu
title: Occurrence Download

description: A dataset containing 4658902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is September",
 "Year 2003-2004"
 ]
}

 The dataset includes 4658902 records from 4449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029975-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx5qvh
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "TaxonKey is Hoolock hoolock (Harlan, 1834)"
 ]
}

 The dataset includes 236 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008852-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czwymu
title: Occurrence Download

description: A dataset containing 3064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clematis montana Buch.-Ham. ex DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3064 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008851-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kz68q
title: Occurrence Download

description: A dataset containing 1785 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cratystylis S.Moore"
 ]
}

 The dataset includes 1785 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008849-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnvzhv
title: Occurrence Download

description: A dataset containing 3425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lilium formosanum A.Wallace)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3425 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008854-250402121839773/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.28740020
title: Embedding_feature.py

description: Python file for Embedding feature
DOI: 10.6084/m9.figshare.28740020.v1
title: Embedding_feature.py

description: Python file for Embedding feature
DOI: 10.6084/m9.figshare.27828132
title: Raw data and Python script for the paper '<b>Synthesis of backbone </b><b>variable </b><b>pillar-layered metal–organic frameworks through sequence control</b>'

description: The source data for paper '<b>Synthesis of backbone </b><b>variable </b><b>pillar-layered metal–organic frameworks through sequence control</b>'
DOI: 10.23708/l4xd4b
title: Weather Stations of Africa : names and coordinates (database SIEREM)

description: This dataset contains Weather Station Name, Country Name, Latitude, Longitude, Years of activity : start and end of observations of Africa issued from SIEREM database, for about 7793 meteorological stations covering all regions of Africa between 1837 and 2019. SIEREM (Environmental Information system on Water Resources and their Modelling) http://www.hydrosciences.fr/sierem is developed by HydroSciences Montpellier research unit. The team studies, on a regional scale, hydrological variability on the African continent and the Mediterranean borders. The team is interested not in the climatic origins of this variability but in the impacts it is supposed to have on the water resources. The regional scale on one hand and, on the other hand, the taking into account of the various structuring elements of the milieu (soil, vegetation etc.) force to be based on a set of environmental knowledge covering the studied zone. It is the reason why SIEREM was carried out. The dataset will first give us a measure of the extent to which African states at the time covered their country territory, trivially to set up weather stations. Secondly, we noticed that the names of some stations, paired with their coordinates, could be useful to projects as historical colonial state presence in Africa, for geocoding several historical maps and sources, to find information accurate for settlements/schools, villages, concessions and name of weather stations explicitly refer to. The information generally needed for a meteorological station relates to its geographical position and the date of start observation. A hydrometeorological network is a set of stations distributed in the space to which we measure, for an indefinite period or not, a certain number of parameters concerning one or more hydrological or meteorological phenomena. The network of rain gauges (weather station) is generally well distributed over the sub-basins and overall catchment area.
DOI: 10.15468/dl.m2dhwh
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.55123 35.99181,-4.54664 36.43423,-3.56786 36.59618,-3.57831 37.28136,-4.74919 37.72919,-5.72144 37.0314,-5.55123 35.99181))",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia L."
 ]
}

 The dataset includes 216 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023946-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.