cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y4efba
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex corrugata"
 ]
}

 The dataset includes 306 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006692-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.769wxb
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stethaprion erythrops",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 115 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006693-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzn8rf
title: Occurrence Download

description: A dataset containing 3056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 3056 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006694-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18602785
title: micromoema_xiphophora_spades_02.fasta.gz
DOI: 10.5281/zenodo.18602786
title: micromoema_xiphophora_spades_02.fasta.gz
DOI: 10.15468/dl.9d6zd3
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cinnamomum parthenoxylon",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1639 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006695-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndfq26
title: Occurrence Download

description: A dataset containing 103161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Year 2025-2025"
 ]
}

 The dataset includes 103161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006680-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.beka35
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Fragaria vesca",
 "Year 1996-2026"
 ]
}

 The dataset includes 195 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006700-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddsf9q
title: Occurrence Download

description: A dataset containing 1347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anoura peruana, Anoura geoffroyi peruana)"
 ]
}

 The dataset includes 1347 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37zxbp
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stichonodon insignis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006701-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nj46va
title: Occurrence Download

description: A dataset containing 747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cissus discolor",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 747 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006702-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek9kv4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonopterus anostomus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006704-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ct66jj
title: Occurrence Download

description: A dataset containing 6116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anoura geoffroyi, Anoura geoffroyi lasiopyga, Anoura geoffroyi geoffroyi, Anoura geoffroyi peruana)"
 ]
}

 The dataset includes 6116 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006703-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18508087
title: Dataset for "Cheese3D enables sensitive detection and analysis of whole-face movement in mice"

description: Datasets used in "Cheese3D enables sensitive detection and analysis of whole-face movement in mice". Data files are organized as:



source_keypoints.tar.gz : 3D keypoints extracted for video data used in paper analysis

source_ephys.tar.gz : electrophysiology data (sorted spike times) used in paper analysis

source_eeg.tar.gz : electroencephalogram data used in paper analysis

source_chew_metadata.tar.gz : metadata information associated with chewing experiments used in paper analysis
DOI: 10.5281/zenodo.18508086
title: Dataset for "Cheese3D enables sensitive detection and analysis of whole-face movement in mice"

description: Datasets used in "Cheese3D enables sensitive detection and analysis of whole-face movement in mice". Data files are organized as:



source_keypoints.tar.gz : 3D keypoints extracted for video data used in paper analysis

source_ephys.tar.gz : electrophysiology data (sorted spike times) used in paper analysis

source_eeg.tar.gz : electroencephalogram data used in paper analysis

source_chew_metadata.tar.gz : metadata information associated with chewing experiments used in paper analysis
DOI: 10.15468/dl.fswnrz
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbergia cultrata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 144 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006705-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b4f75
title: Occurrence Download

description: A dataset containing 180298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is one of (CAN.1_1, CAN.1.6.10_1)",
 "Geometry POLYGON((-114.70488 49.61898,-114.54339 49.14063,-113.95512 49.16149,-113.60048 49.15523,-113.61404 49.51717,-113.63899 49.84214,-114.10114 49.65684,-114.70488 49.61898))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 180298 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006657-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw8v4d
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "Country is Colombia",
 "TaxonKey is Staphylococcus aureus"
 ]
}

 The dataset includes 324 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006706-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nexjmd
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Atriplex coulteri"
 ]
}

 The dataset includes 300 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006707-260208012135463/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.30780451
title: Robust Multi-Model Subset Selection

description: Outlying observations can be challenging to handle and adversely affect subsequent analyses, especially in data with increasing dimensional complexity. Although outliers are not always undesired anomalies in the data and may possess valuable insights, only methods that are robust to outliers are able to accurately identify them and resist their influence. In this paper, we propose Robust Multi-Model Subset Selection (RMSS), a method that generates an ensemble of sparse and diverse predictive models that are resistant to outliers. We show that the ensembles generally outperform single-model sparse and robust methods. Cross-validation is used to tune parameters to control levels of sparsity, diversity, and robustness. We establish the finite-sample breakdown point of the models generated by RMSS, including that of the Robust Best Subset Selection (RBSS) estimator as a special case. In addition, we develop a tailored computing algorithm to learn the ensemble by leveraging recent developments in ℓ0 optimization. Our extensive numerical experiments on synthetic and artificially contaminated real datasets from bioinformatics and cheminformatics demonstrate the competitive advantage of our method over state-of-the-art single-model methods. The Supplementary Material contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.
DOI: 10.6084/m9.figshare.30780451.v1
title: Robust Multi-Model Subset Selection

description: Outlying observations can be challenging to handle and adversely affect subsequent analyses, especially in data with increasing dimensional complexity. Although outliers are not always undesired anomalies in the data and may possess valuable insights, only methods that are robust to outliers are able to accurately identify them and resist their influence. In this paper, we propose Robust Multi-Model Subset Selection (RMSS), a method that generates an ensemble of sparse and diverse predictive models that are resistant to outliers. We show that the ensembles generally outperform single-model sparse and robust methods. Cross-validation is used to tune parameters to control levels of sparsity, diversity, and robustness. We establish the finite-sample breakdown point of the models generated by RMSS, including that of the Robust Best Subset Selection (RBSS) estimator as a special case. In addition, we develop a tailored computing algorithm to learn the ensemble by leveraging recent developments in ℓ0 optimization. Our extensive numerical experiments on synthetic and artificially contaminated real datasets from bioinformatics and cheminformatics demonstrate the competitive advantage of our method over state-of-the-art single-model methods. The Supplementary Material contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.
DOI: 10.15468/dl.xgpwz7
title: Occurrence Download

description: A dataset containing 5394 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 66.79314043790278
 AND decimallatitude &lt;= 72.77152049497572
 AND decimallongitude &gt;= -64.79971620195087
 AND decimallongitude &lt;= -44.9001961481604
 AND GBIF_Within('POLYGON ((-44.900196 66.793140, -44.900196 72.771520, -64.799716 72.771520, -64.799716 66.793140, -44.900196 66.793140))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 5394 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006698-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/14qb-nm35
title: MIRI/MRS data used for paper "Extreme Debris Disks: Insights into Violent Collisions in Planet Formation and Destruction"

description: data sets used for paper "Extreme Debris Disks: Insights into Violent Collisions in Planet Formation and Destruction"
DOI: 10.15468/dl.twstcr
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonopterus araguaiensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006708-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18158618
title: Data and scripts: AI Corpus Linguist: More than a Year of Experience
DOI: 10.5281/zenodo.18158617
title: Data and scripts: AI Corpus Linguist: More than a Year of Experience
DOI: 10.15468/dl.b5ypdx
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Fragaria vesca",
 "Year 2020-2026"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006710-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a33xh
title: Occurrence Download

description: A dataset containing 35100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Ulmus americana, Ulmus alba, Ulmus americana alba, Ulmus americana alba, Ulmus americana americana, Ulmus americana ascendens, Ulmus americana columnaris, Ulmus americana intercedens, Ulmus americana laevior, Ulmus americana pendula, Ulmus americana pendula, Ulmus americana viridis, Ulmus americana aspera, Ulmus americana aurea, Ulmus americana bartramii, Ulmus americana floridana, Ulmus floridana, Ulmus americana glabra, Ulmus americana incisa, Ulmus americana scabra, Ulmus dentata, Ulmus mollifolia, Ulmus obovata)"
 ]
}

 The dataset includes 35100 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006709-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaz9th
title: Occurrence Download

description: A dataset containing 32708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Glossophaga soricina, Glossophaga soricina antillarum, Glossophaga soricina leachii, Glossophaga soricina soricina, Glossophaga soricina handleyi, Glossophaga soricina valens, Glossophaga soricina mutica)"
 ]
}

 The dataset includes 32708 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006712-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171153.10fu
title: SH0171153.10FU

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/sh0171154.10fu
title: SH0171154.10FU

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/sh0171155.10fu
title: SH0171155.10FU

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/sh0171156.10fu
title: SH0171156.10FU

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/sh0171157.10fu
title: SH0171157.10FU

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.