cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0202481.10fu
title: SH0202481.10FU

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/sh0202482.10fu
title: SH0202482.10FU

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/sh0202483.10fu
title: SH0202483.10FU

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/sh0202484.10fu
title: SH0202484.10FU

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/sh0202485.10fu
title: SH0202485.10FU

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/sh0202486.10fu
title: SH0202486.10FU

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/sh0202487.10fu
title: SH0202487.10FU

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/sh0202488.10fu
title: SH0202488.10FU

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/sh0202489.10fu
title: SH0202489.10FU

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.8pg5pt
title: Occurrence Download

description: A dataset containing 2629998 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trochilidae"
 ]
}

 The dataset includes 2629998 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015096-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8s60gm
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Canis latrans Say, 1823",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 750 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001908-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrhk8c
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Mimachlamys sanguinea (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 686 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015098-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6htck
title: Occurrence Download

description: A dataset containing 349688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Raya Linnaeus, 1758, Rena Baird & Girard, 1853, Rina Poletaeva, 1964, Runa L.Agassiz, 1841, Rafa Brethes, 1916, Raia Ashmead, 1893, Raia Cuvier, 1798, Raja Burm., Rama Böhm, 1895, Rama V.J.Chapman, 1952, Raoa Laubenfels, 1936, Rapa Mill., Raya Hollberg, 1819, Raha Marwick, 1953, Rama Beschin, Busulini, Tessier & Zorzin, 2016, Rapa Bruguiere, 1792, Rapa Fabricius, 1823, Raxa Distant, 1919, Raya Hodgson, 1839, Rena Wei, 1997, Rauna Münster, 1839, Reana Brign., Riana Aubl., Raina Marwick, 1927, Rauna Öpik, 1932, Ruana McKamey, 2006, Rana Linnaeus, 1758, Rana Kuhlii Tschudi, 1838, Raia, Raja Linnaeus, 1758, Rama Bleeker, 1858, Randa Blackwelder, 1952, Rapa Röding, 1798, Rara A.J.Wagner, 1897, Rasa Saldaitis & Yakovlev, 2019, Rata Davie, 1993, Raya Linnaeus, 1758, Rena Baird & Girard, 1853, Rina Poletaeva, 1964, Runa L.Agassiz, 1841, Rafa Brethes, 1916, Raia Ashmead, 1893, Raia Cuvier, 1798, Raja Burm., Rama Böhm, 1895, Rama V.J.Chapman, 1952, Raoa Laubenfels, 1936, Rapa Mill., Raya Hollberg, 1819, Raha Marwick, 1953, Rama Beschin, Busulini, Tessier & Zorzin, 2016, Rapa Bruguiere, 1792, Rapa Fabricius, 1823, Raxa Distant, 1919, Raya Hodgson, 1839, Rena Wei, 1997, Rauna Münster, 1839, Reana Brign., Riana Aubl., Raina Marwick, 1927, Rauna Öpik, 1932, Ruana McKamey, 2006, Rana Linnaeus, 1758, Rana Kuhlii Tschudi, 1838, Raia, Raja Linnaeus, 1758, Rama Bleeker, 1858, Randa Blackwelder, 1952, Rapa Röding, 1798, Rara A.J.Wagner, 1897, Rasa Saldaitis & Yakovlev, 2019, Rata Davie, 1993, Raya Linnaeus, 1758, Rena Baird & Girard, 1853, Rina Poletaeva, 1964, Runa L.Agassiz, 1841, Rafa Brethes, 1916, Raia Ashmead, 1893, Raia Cuvier, 1798, Raja Burm., Rama Böhm, 1895, Rama V.J.Chapman, 1952, Raoa Laubenfels, 1936, Rapa Mill., Raya Hollberg, 1819, Raha Marwick, 1953, Rama Beschin, Busulini, Tessier & Zorzin, 2016, Rapa Bruguiere, 1792, Rapa Fabricius, 1823, Raxa Distant, 1919, Raya Hodgson, 1839, Rena Wei, 1997, Rauna Münster, 1839, Reana Brign., Riana Aubl., Raina Marwick, 1927, Rauna Öpik, 1932, Ruana McKamey, 2006, Rana Linnaeus, 1758, Rana Kuhlii Tschudi, 1838)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 349688 records from 1048 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011431-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qaof16
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidothrix iris (Schinz, 1851)"
 ]
}

 The dataset includes 257 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015098-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hmxzu
title: Occurrence Download

description: A dataset containing 877 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sistemática y biogeografía del género Reithrodontomys (Rodentia: Muridae)"
 ]
}

 The dataset includes 877 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015099-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.isazt5
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blumea sessiliflora DC.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015100-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10839690
title: BTSbot v10 training set

description: This is the production version of the BTSbot training set, limited to public (programid=1) ZTF alerts. BTSbot is a multi-modal convolutional neural network designed for real-time identification bright extragalactic transients in Zwicky Transient Facility (ZTF) data. BTSbot provides a bright transient score to individual ZTF detections using their image data and 25 extracted features. BTSbot is able to eliminate the need for daily visual inspection of new transients by automatically identifying and requesting spectroscopic follow-up observations of new bright transient candidates. 

The training data is split into two zipped files. metadata_v10.zip contains alert packet features for the alerts in the train, validation, and test splits stored a separate .csv files. images_v10.zip contains the corresponding image cutouts stored as three .npy files. The BTSbot source code contains routines for reading these files and training a model on them. They can also easily be loaded with pandas.read_csv() and numpy.load().

This training set data is necessary for reproducing the results of the BTSbot study, although this dataset only contains ZTF public data while the production BTSbot model also trained on ZTF partnership data.

If you use reference this data or BTSbot please cite the BTSbot paper.
DOI: 10.5281/zenodo.10839691
title: BTSbot v10 training set

description: This is the production version of the BTSbot training set, limited to public (programid=1) ZTF alerts. BTSbot is a multi-modal convolutional neural network designed for real-time identification bright extragalactic transients in Zwicky Transient Facility (ZTF) data. BTSbot provides a bright transient score to individual ZTF detections using their image data and 25 extracted features. BTSbot is able to eliminate the need for daily visual inspection of new transients by automatically identifying and requesting spectroscopic follow-up observations of new bright transient candidates. 

The training data is split into two zipped files. metadata_v10.zip contains alert packet features for the alerts in the train, validation, and test splits stored a separate .csv files. images_v10.zip contains the corresponding image cutouts stored as three .npy files. The BTSbot source code contains routines for reading these files and training a model on them. They can also easily be loaded with pandas.read_csv() and numpy.load().

This training set data is necessary for reproducing the results of the BTSbot study, although this dataset only contains ZTF public data while the production BTSbot model also trained on ZTF partnership data.

If you use reference this data or BTSbot please cite the BTSbot paper.
DOI: 10.15468/dl.6ltvpz
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Mimosa arenosa (Willd.) Poir.",
 "TaxonKey is Mimosa bimucronata (DC.) Kuntze"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 975 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015101-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b652jt
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oithona colcarva Bowman, 1975"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126847-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2rhup
title: Occurrence Download

description: A dataset listing the 373 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-77.85734 0.96033,-77.78984 0.87002,-77.70774 0.96033,-77.77524 0.98131,-77.81082 1.01598,-77.85278 0.99591,-77.85734 0.96033))"
 ]
}

 The dataset's 373 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036724-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x26cuy
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.9667673000000008 43.0934369000000004, -87.9667673000000008 43.0956776599999998, -87.9667673000000008 43.0983985800000013, -87.9667673000000008 43.1003192200000029, -87.9667673000000008 43.1028800899999993, -87.9667673000000008 43.1068814400000022, -87.9667673000000008 43.1094422999999978, -87.9667673000000008 43.1121632199999993, -87.9667673000000008 43.1164846799999992, -87.9667673000000008 43.1192056000000008, -87.9634153599999991 43.1192056000000008, -87.9584672699999999 43.1192056000000008, -87.9557537999999965 43.1192056000000008, -87.9508057000000036 43.1192056000000008, -87.9508057000000036 43.1168047900000033, -87.9508057000000036 43.1129634899999985, -87.9508057000000036 43.1107227399999999, -87.9508057000000036 43.1080018199999984, -87.9508057000000036 43.1062412200000011, -87.9508057000000036 43.1033602500000015, -87.9508057000000036 43.1004792800000018, -87.9508057000000036 43.0983985800000013, -87.9508057000000036 43.0956776599999998, -87.9508057000000036 43.0934369000000004, -87.9547960999999958 43.0934369000000004, -87.9594249600000069 43.0934369000000004, -87.9621384400000039 43.0934369000000004, -87.9667673000000008 43.0934369000000004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 146 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088672-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96htt7
title: Occurrence Download

description: A dataset containing 9441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Glareola pratincola (Linnaeus, 1766)"
 ]
}

 The dataset includes 9441 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036745-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nactk5
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthotium junciforme (de Vriese) D.A.Morrison"
 ]
}

 The dataset includes 155 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036746-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdhzbz
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pisidia dehaanii (Krauss, 1843)"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129652-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.