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

description: A dataset containing 6632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-170 5,-50 5,-50 83,-170 83,-170 5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Woodsia obtusa (Spreng.) Torr."
 ]
}

 The dataset includes 6632 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005617-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qcbvp
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia, Thailand, Papua New Guinea, Philippines, Cambodia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mitragyna speciosa Korth."
 ]
}

 The dataset includes 53 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005575-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6sgx3
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tridacna gigas (Linnaeus, 1758)"
 ]
}

 The dataset includes 1112 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005576-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2088442441
title: Coordinated user access to HTX lab – MASSIF-1 facilities for fragment screening and new structures. With funding through iNEXT Discovery, In

description: This proposal will provide user access to automated protein-to-structure and fragment screening pipelines based on the combination of EMBL HTX lab services and CrystalDirect technology and automated data collection at ESRF’s MX beamlines, within the framework of the EMBL-ESRF JSBG agreement. The access will encompass three key services: 1) Online-Crystallography for Protein-to-Structure analysis, 2) High throughput ligand and Fragment Screening, and 3) innovative Plate-to-beam data collection techniques, made possible by CrystalDirect’s integration at ESRF’s MASSIF1 beamline. Access will be granted through competitive, peer review, as part of EC-funded iNEXT, ISIDORE, CNASERV and Instruct-ERIC consortia. The proposal includes development of new methods to expand the experimental capabilities to perform cutting-edge research in structural biology through furhter integration of CrystalDirect at MASSIF-1 within the framework of international collaborations.
DOI: 10.15468/dl.7nndur
title: Occurrence Download

description: A dataset containing 1717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((-170 5,-50 5,-50 83,-170 83,-170 5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sporobolus vaginiflorus (Torr. ex A.Gray) Alph.Wood"
 ]
}

 The dataset includes 1717 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005618-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14969307
title: UCI Capstone: All Real and Generated Audios in MP3 Format

description: Contains ~22k real audio from the FMA medium dataset and 18k generated audio from the FakeMusicCaps dataset. All audios are preprocessed in .mp3 format. Sampling rate is 16k Hz and bit rate is 215 kb/s. File contains 3 folders: 'training', 'validation', and 'testing'. Within each folder, contains the subfolders 'real' and 'fake' that contain the designated audio files.
DOI: 10.5281/zenodo.14969308
title: UCI Capstone: All Real and Generated Audios in MP3 Format

description: Contains ~22k real audio from the FMA medium dataset and 18k generated audio from the FakeMusicCaps dataset. All audios are preprocessed in .mp3 format. Sampling rate is 16k Hz and bit rate is 215 kb/s. File contains 3 folders: 'training', 'validation', and 'testing'. Within each folder, contains the subfolders 'real' and 'fake' that contain the designated audio files.
DOI: 10.5281/zenodo.14583133
title: Repairing Trust in Robots?: A Meta-analysis of HRI Trust Repair Studies with A No-Repair Condition :: Data ::

description: Data and Code Used to Produce: Repairing Trust in Robots?: A Meta-analysis of HRI Trust Repair Studies with A No-Repair Condition

Full Paper Published via IEEE Explore

Pre-Print [Pending]
DOI: 10.5281/zenodo.14270757
title: Virtually The Same or Realistically Different: Do Real-World Robots Differ From Their Non-Physical Representations? :: Data and Code ::

description: Data and Code Used to Produce: Virtually The Same or Realistically Different: Do Real-World Robots Differ From Their Non-Physical Representations?

Full Paper Published Open Acess on ACM Digital Library
DOI: 10.15468/dl.2f7u6c
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (vichada dept., vichada department)"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005577-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q779as
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pleurothallis biserrula Rchb.f."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005619-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4tma9
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((129.60373 -6.66791,132.7734 -4.01691,132.42762 0.70878,128.7969 3.82082,125.33908 6.18367,116.75215 3.30215,116.80978 -2.74904,119.11499 -6.55265,129.60373 -6.66791))",
 "TaxonKey is Myristica fragrans Houtt."
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005578-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6sjrs
title: Occurrence Download

description: A dataset containing 1116752784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset)",
 "Geometry POLYGON((-132.40406 22.30131,-55.46885 22.30131,-55.46885 50.97261,-132.40406 50.97261,-132.40406 22.30131))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1116752784 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005598-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asp6mf
title: Occurrence Download

description: A dataset containing 417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Senna martiana (Benth.) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 417 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005620-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w45a26
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pleurothallis cardiostola Rchb.f."
 ]
}

 The dataset includes 116 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005621-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak47j7
title: Occurrence Download

description: A dataset containing 3629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.1_1",
 "TaxonKey is Asio flammeus (Pontoppidan, 1763)"
 ]
}

 The dataset includes 3629 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005622-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2aavxd
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is false",
 "TaxonKey is Senna martiana (Benth.) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 338 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005623-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzn3sh
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 52 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005624-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7nffe
title: Occurrence Download

description: A dataset containing 3799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.1_1",
 "TaxonKey is Cardellina canadensis (Linnaeus, 1766)"
 ]
}

 The dataset includes 3799 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005625-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny6apz
title: Occurrence Download

description: A dataset containing 2332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.1_1",
 "TaxonKey is Centronyx bairdii (Audubon, 1844)"
 ]
}

 The dataset includes 2332 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005579-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brtn3p
title: Occurrence Download

description: A dataset containing 23478757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 23478757 records from 1821 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005605-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0214813.10fu
title: SH0214813.10FU

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/sh0214814.10fu
title: SH0214814.10FU

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/sh0214815.10fu
title: SH0214815.10FU

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/sh0214816.10fu
title: SH0214816.10FU

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/sh0214817.10fu
title: SH0214817.10FU

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/sh0214818.10fu
title: SH0214818.10FU

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/sh0214819.10fu
title: SH0214819.10FU

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/sh0214820.10fu
title: SH0214820.10FU

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/sh0214821.10fu
title: SH0214821.10FU

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/sh0214822.10fu
title: SH0214822.10FU

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.