cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fg5b4n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viola cheiranthifolia Humb. & Bonpl.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6merpp
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herpestes fuscus Waterhouse, 1838"
 ]
}

 The dataset includes 264 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000080-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14840811
title: SimCLR-Enhanced MammalHairNet: Advancing Species Identification Through Hair Scale Classification

description:     ori_all_training.tar Contains all raw data outside the test set

hair_2025_per15.tar Contains all raw data in the test set

SAM_not_in_per15_all_filter_rename.tar Contains all the data outside the test set, after SAM semantic segmentation

sam_2025_85_rgb_720_per100_50_30.tar The dataset comprises data excluded from the test set, which have been processed through SAM-based semantic segmentation followed by a series of augmentation techniques, including random contrast adjustment, cropping, noise addition, mirroring, and rotation.

SAM_15_2025_100_oriname.tar & sam_2025_15_100_rgb.tar Note that these two test sets only have some name adjustments(Orangutan->Bornean_orangutan;Red_deer->Wapiti;Wolf->Grey_wolf;Chinese_Water_deer->Water_deer), but the images are the same.  The images within these two compressed packages vary in resolution; however, all the image sizes are adjusted to [224 224] when classifying.
DOI: 10.5281/zenodo.14882808
title: Sea Surface Height for coastal applications obtained from Level-3 satellite altimetry

description: Along-track Level-3 high resolution sea level product derived from full rate (20Hz) upstream Sentinel-6A HR mode.
DOI: 10.5281/zenodo.14938132
title: Sea Surface Height for coastal applications obtained from Level-3 satellite altimetry

description: Along-track Level-3 high resolution sea level product derived from full rate (20Hz) upstream Sentinel-6A HR mode.
DOI: 10.15468/dl.mx5und
title: Occurrence Download

description: A dataset containing 14890 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnonectes fujianensis Ye & Fei, 1994"
 ]
}

 The dataset includes 14890 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000823-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywtdpw
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viola jaubertiana Marès & Vigin.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000081-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dj3zde
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.49996 48.32194,-124.65378 48.32194,-124.65378 49.41894,-126.49996 49.41894,-126.49996 48.32194))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)",
 "Year 1984-2025"
 ]
}

 The dataset includes 373 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000824-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk9nf3
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.49996 48.32194,-124.65378 48.32194,-124.65378 49.41894,-126.49996 49.41894,-126.49996 48.32194))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)",
 "Year 1984-2025"
 ]
}

 The dataset includes 373 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000826-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg5a69
title: Occurrence Download

description: A dataset containing 46098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Staphyleaceae"
 ]
}

 The dataset includes 46098 records from 650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000825-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4cfmw
title: Occurrence Download

description: A dataset containing 5416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample)",
 "Country is Costa Rica",
 "DatasetKey is Herbarium Berolinense, Berlin (B)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta",
 "Year 2004-2025"
 ]
}

 The dataset includes 5416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14938228
title: A comprehensive benchmark study of protein structure alignment tools on downstream tasks

description: The function inference dataset CAFA3_MF and phylogeny/evolution dataset SwissTree include raw data and processed data.
DOI: 10.5281/zenodo.14938229
title: A comprehensive benchmark study of protein structure alignment tools on downstream tasks

description: The function inference dataset CAFA3_MF and phylogeny/evolution dataset SwissTree include raw data and processed data.
DOI: 10.15468/dl.rg48rs
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.49996 48.32194,-124.65378 48.32194,-124.65378 49.41894,-126.49996 49.41894,-126.49996 48.32194))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)",
 "Year 1984-2025"
 ]
}

 The dataset includes 373 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000083-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqvs55
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Woodsia pulchella Bertol.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000828-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf3867
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.23954 20.97746,115.60657 20.97746,115.60657 36.42241,99.23954 36.42241,99.23954 20.97746))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dipteronia Oliv."
 ]
}

 The dataset includes 393 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000084-250227125302545/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.28506143
title: Difference between tax revenue on fuels per a month.pdf

description: Calculation of difference between tax revenue on fuels per a month according to consumption and actual revenue in the Czech Republic from January 2008 to December 2022 (CZK).
DOI: 10.15468/dl.zbpes2
title: Occurrence Download

description: A dataset containing 2875 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates areolatus (Baird & Girard, 1852)"
 ]
}

 The dataset includes 2875 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000829-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr2rm5
title: Occurrence Download

description: A dataset containing 5278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material sample)",
 "Country is Costa Rica",
 "DatasetKey is INSDC Sequences",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta",
 "Year 2004-2025"
 ]
}

 The dataset includes 5278 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000086-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3p4j8
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Woodwardia radicans (L.) Sm.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 112 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000088-250227125302545/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.28504667
title: Supplementary tables of jejunal iMSCs in postnatal piglets

description: Ayansola et al. characterize intestinal mesenchymal stromal cells in preweaned jejunal piglets using protein localization and transcriptome models. This study reports the appearance of the CD81<sup>+ </sup>iMSC population by day 21 in the jejunum of postnatal piglets, highlighting an increasing support niche for the deep crypt region. Using bulk RNA sequencing, we analyzed the differentially expressed genes in jejunal intestinal mesenchymal stromal cells at three different postnatal age groups: days 0, 7, and 21. Transcriptome analysis reveals enriched growth factor genes in day 21 jejunal iMSCs, suggesting their support for intestinal epithelium maturation.
DOI: 10.15468/dl.nmhxmg
title: Occurrence Download

description: A dataset containing 10853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Cedrela odorata L."
 ]
}

 The dataset includes 10853 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000830-250226211518916/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.28506365
title: <b>Global meta-analysis shows that crop rotation increases soil bacterial alpha and fungal beta diversities</b>

description: These files include data and code
DOI: 10.15468/dl.cc8srp
title: Occurrence Download

description: A dataset containing 1114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Wolffiella Hegelm."
 ]
}

 The dataset includes 1114 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14408535
title: textocr
DOI: 10.15156/bio/sh0063996.10fu
title: SH0063996.10FU

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/sh0063997.10fu
title: SH0063997.10FU

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/sh0063998.10fu
title: SH0063998.10FU

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/sh0063999.10fu
title: SH0063999.10FU

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/sh0064000.10fu
title: SH0064000.10FU

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/sh0064001.10fu
title: SH0064001.10FU

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/sh0064002.10fu
title: SH0064002.10FU

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/sh0064003.10fu
title: SH0064003.10FU

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/sh0064004.10fu
title: SH0064004.10FU

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.