cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n37u68
title: Occurrence Download

description: A dataset containing 5193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eriosyce senilis, Eriosyce aurata, Gypothamnium pinifolium, Cumulopuntia sphaerica, Monttea chilensis, Eulychnia acida, Skytanthus acutus, Heliotropium floridum, Metharme lanata, Heliotropium filifolium, Tetragonia pedunculata, Eriosyce sociabilis, Prosopis flexuosa, Geoffroea decorticans, Carica chilensis, Krameria cistoidea, Pintoa chilensis, Cristaria calderana, Aphyllocladus denticulatus, Suaeda multiflora, Prosopis chilensis, Adesmia argyrophylla, Cordia decandra, Porlieria chilensis, Balsamocarpon brevifolium)"
 ]
}

 The dataset includes 5193 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005817-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vh76xh
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Eutrema integrifolium"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005816-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2kgdd
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanista minor"
 ]
}

 The dataset includes 66 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005818-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsn66w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Phlomoides chinghoensis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005819-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17470109
title: Dataset employed in the article "Reliability Assessment of TEC Maps over Brazil: A Multi-Source Comparative Study with Ground Validation" - Atmosphere/MDPI
DOI: 10.15468/dl.zacyxr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Fagopyrum esculentum"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005821-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5zgy7
title: Occurrence Download

description: A dataset containing 2073 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalorhynchus commersonii"
 ]
}

 The dataset includes 2073 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005823-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xs3uxh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Gomphrena globosa"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005824-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.keyny7
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005822-251025141854904/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.30472682
title: A collection of AI-ready single-cell transcriptomic datasets for single-cell foundation models

description: Single-cell foundation models (scFMs) trained on large-scale single-cell omics data, especially single-cell transcriptomic datasets, are revolutionizing our understanding of cellular heterogeneity and biological systems. However, the lack of large-scale, standardized, and artificial intelligence-ready (AI) single-cell data with consistent cell-type annotations limits model reproducibility and generalization. Here, we introduce PreDigs-AI, a high-quality, multi-granular single-cell collection tailored for scFM training and benchmarking. Datasets are uniformly processed and stored in standardized h5ad format for immediate use with models like scGPT and Geneformer.
DOI: 10.6084/m9.figshare.30472682.v1
title: A collection of AI-ready single-cell transcriptomic datasets for single-cell foundation models

description: Single-cell foundation models (scFMs) trained on large-scale single-cell omics data, especially single-cell transcriptomic datasets, are revolutionizing our understanding of cellular heterogeneity and biological systems. However, the lack of large-scale, standardized, and artificial intelligence-ready (AI) single-cell data with consistent cell-type annotations limits model reproducibility and generalization. Here, we introduce PreDigs-AI, a high-quality, multi-granular single-cell collection tailored for scFM training and benchmarking. Datasets are uniformly processed and stored in standardized h5ad format for immediate use with models like scGPT and Geneformer.
DOI: 10.5281/zenodo.14942158
title: Interhemispheric monsoon response to bipolar forcing during Heinrich Stadial 4

description: This Supporting Information document provides additional details and data supporting the findings of the study titled “Interhemispheric Monsoon Response to Bipolar Forcing during Heinrich Stadial 4.” The dataset and methods described herein are derived from speleothem samples collected in Shennong Cave (117°15′N, 28°42′E; ~383 m above sea level) is located in Jiangxi Province, southeastern China. Tables S1 and S2 provide comprehensive datasets, including 230Th dating results, δ¹³C, δ¹⁸O.
DOI: 10.5281/zenodo.14963521
title: Interhemispheric monsoon response to bipolar forcing during Heinrich Stadial 4

description: This Supporting Information document provides additional details and data supporting the findings of the study titled “Interhemispheric Monsoon Response to Bipolar Forcing during Heinrich Stadial 4.” The dataset and methods described herein are derived from speleothem samples collected in Shennong Cave (117°15′N, 28°42′E; ~383 m above sea level) is located in Jiangxi Province, southeastern China. Tables S1 and S2 provide comprehensive datasets, including 230Th dating results, δ¹³C, δ¹⁸O.
DOI: 10.57935/agr.30472565
title: Supplementary material for Forage plant host and early feeding choices can affect <i>Spodoptera litura</i> feeding, development and egg-laying

description: Supplementary material for: <i>Forage plant host and early feeding choices can affect </i><i>Spodoptera litura</i><i> feeding, development and egg-laying</i> submitted to Entomologia Experimentalis et Applicata
DOI: 10.57935/agr.30472565.v1
title: Supplementary material for Forage plant host and early feeding choices can affect <i>Spodoptera litura</i> feeding, development and egg-laying

description: Supplementary material for: <i>Forage plant host and early feeding choices can affect </i><i>Spodoptera litura</i><i> feeding, development and egg-laying</i> submitted to Entomologia Experimentalis et Applicata
DOI: 10.5281/zenodo.17466501
title: Database: Geochemical and hydrological controls on aragonite versus calcite precipitation in speleothems and paleoclimatic implications

description: Monitoring dataset from Shennong Cave, including cave-air CO₂, temperature  and dripwater chemistry, collected for investigating cave ventilation and hydrochemical processes.

Usage note: The dataset is not yet published. For any use, please contact Rui Zhang (zhangrui1995@stu.xjtu.edu.cn) and corresponding author Haiwei Zhang (zhanghaiwei@xjtu.edu.cn). Pre-publication use in papers or other public outputs is not permitted without the owners’ written permission. Additional data and metadata will be updated upon formal publication of the associated article.
DOI: 10.5281/zenodo.17466502
title: Database: Geochemical and hydrological controls on aragonite versus calcite precipitation in speleothems and paleoclimatic implications

description: Monitoring dataset from Shennong Cave, including cave-air CO₂, temperature  and dripwater chemistry, collected for investigating cave ventilation and hydrochemical processes.

Usage note: The dataset is not yet published. For any use, please contact Rui Zhang (zhangrui1995@stu.xjtu.edu.cn) and corresponding author Haiwei Zhang (zhanghaiwei@xjtu.edu.cn). Pre-publication use in papers or other public outputs is not permitted without the owners’ written permission. Additional data and metadata will be updated upon formal publication of the associated article.
DOI: 10.15468/dl.bhzqnf
title: Occurrence Download

description: A dataset containing 2335 records in GBIF matching the query:
SELECT
 PRINTF('%04d-%02d', "year", "month") yearmonth,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL)
GROUP BY
 PRINTF('%04d-%02d', "year", "month")

 The dataset's 2335 records were derived from 4421 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005804-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.if4l8k
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001855-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5jaqq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000869-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb4kyo
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008085-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpvyva
title: Occurrence Download

description: A dataset containing 624647561 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 624647561 records from 13848 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014433-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1197072.10fu
title: SH1197072.10FU

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/sh1197073.10fu
title: SH1197073.10FU

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/sh1197078.10fu
title: SH1197078.10FU

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/sh1197079.10fu
title: SH1197079.10FU

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/sh1197081.10fu
title: SH1197081.10FU

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/sh1197082.10fu
title: SH1197082.10FU

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/sh1197094.10fu
title: SH1197094.10FU

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/sh1197097.10fu
title: SH1197097.10FU

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/sh1197101.10fu
title: SH1197101.10FU

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.