cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7ajp2g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 29.0599,19.1382 29.0599,19.1382 20.0599,28.1382 20.0599,28.1382 29.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056165-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28927355
title: Genomes of 653 Roseobacter MAGs and SAGs

description: Genomes of 653 Roseobacter MAGs and SAGs
DOI: 10.6084/m9.figshare.28927355.v1
title: Genomes of 653 Roseobacter MAGs and SAGs

description: Genomes of 653 Roseobacter MAGs and SAGs
DOI: 10.6084/m9.figshare.28927355.v2
title: Genomes of 653 Roseobacter MAGs and SAGs

description: Genomes of 653 Roseobacter MAGs and SAGs
DOI: 10.5281/zenodo.15695424
title: Dataset for "Deep-sub-cycle ultrafast optical pulses"

description: This dataset is a rawdata for figures in paper entitled as "Deep-sub-cycle ultrafast optical pulses".
DOI: 10.15468/dl.y6f5tw
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.26.12.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chrysolophus pictus (Linnaeus, 1758), Buteo hemilasius Temminck & Schlegel, 1844, Gekko subpalmatus (Günther, 1864), Ptyas dhumnades (Cantor, 1842))"
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056166-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2r9nr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachospermum Roth, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056167-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knhpzm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 2.0599,19.1382 2.0599,19.1382 -6.9401,28.1382 -6.9401,28.1382 2.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056168-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3unqck
title: Occurrence Download

description: A dataset containing 1094370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.28574 43.27879,4.44569 43.27879,4.44569 43.70438,3.28574 43.70438,3.28574 43.27879))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 1094370 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34965/i60412
title: 20240050-4
DOI: 10.15468/dl.k8fa2c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachospermum Roth, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056169-250525065834625/datasets/export for details.
DOI: 10.15468/dl.w69w7b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 11.0599,19.1382 11.0599,19.1382 2.0599,28.1382 2.0599,28.1382 11.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056170-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15695220
title: Motor performance and blood levels of ammonia and inflammatory biomarkers in patients with liver cirrhosis

description: Data related to the topic are collected as part of the research on the motor and cognitive performance of people with liver damage. Please review the following publications for more information on the collection and results obtained:



https://www.mdpi.com/2077-0383/9/7/2154

https://www.nature.com/articles/s41598-017-05938-1
DOI: 10.5281/zenodo.15695221
title: Motor performance and blood levels of ammonia and inflammatory biomarkers in patients with liver cirrhosis

description: Data related to the topic are collected as part of the research on the motor and cognitive performance of people with liver damage. Please review the following publications for more information on the collection and results obtained:



https://www.mdpi.com/2077-0383/9/7/2154

https://www.nature.com/articles/s41598-017-05938-1
DOI: 10.6084/m9.figshare.28437011
title: Divergence in a Eukaryotic Transcription Factor’s co-TF Dependence Involves Multiple Intrinsically Disordered Regions Affecting Activation and Autoinhibition

description: These microscopy images and processed CSV files accompany Fig. S7 in quantifying the nuclear concentration and fraction of different Pho4 chimeras.
DOI: 10.6084/m9.figshare.28437011.v1
title: Divergence in a Eukaryotic Transcription Factor’s co-TF Dependence Involves Multiple Intrinsically Disordered Regions Affecting Activation and Autoinhibition

description: These microscopy images and processed CSV files accompany Fig. S7 in quantifying the nuclear concentration and fraction of different Pho4 chimeras.
DOI: 10.6084/m9.figshare.26952454
title: CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods

description: A comprehensive and long-term dataset of prefectural surface water resources is crucial for effective water resource management in China. However, there has been a significant gap in the availability of such datasets, with no existing datasets providing comprehensive long-term coverage. To address this gap, we have developed CNSW 1.0, the first long-term (2000-2020) dataset of prefectural surface water resources in China. Utilizing surface water resource data from official water resource bulletins, we employed 14 advanced machine learning models to reconstruct the CNSW 1.0 dataset. The resulting dataset exhibits high accuracy, with an R² of 0.978 for total surface water resources and acceptable level of bias across China. CNSW 1.0 not only outperforms existing datasets like CNRD v1.0, GRUN, and ISIMIP in terms of simulation accuracy and spatial distribution but also fills a critical gap in water resource data for China. This dataset is expected to be an invaluable tool for developing more informed water resource management strategies at the administrative level in China, particularly in the context of climate change.
The CNSW 1.0 encompasses surface water resource data for 341 prefectural-level administrative units in mainland China over a period from 2000 to 2020, comprising a total of 16 surface water datasets. The data are stored in both CSV and shapefile (SHP) formats. The naming convention for annual spatial distribution shapefiles follows the structure "CNSW_1.0_YYY_ZZZZ.shp," where "YYY" represents the model’s name, and "ZZZZ" denotes the year. The naming convention for multi-year average spatial distribution shapefiles is "CNSW_1.0_mean_YYY.shp," and for the spatial evolution trend shapefiles, it is "CNSW_1.0_trend_YYY.shp." A total of 368 shapefiles are provided, which approximately take up 7.2GB of disk space. Additional information, such as region, province, and prefecture area, is also stored in the files.
DOI: 10.6084/m9.figshare.26952454.v1
title: CNSW 1.0: Prefectural Reconstruction of China's Surface Water Resources Using Machine Learning Methods

description: A comprehensive and long-term dataset of prefectural surface water resources is crucial for effective water resource management in China. However, there has been a significant gap in the availability of such datasets, with no existing datasets providing comprehensive long-term coverage. To address this gap, we have developed CNSW 1.0, the first long-term (2000-2020) dataset of prefectural surface water resources in China. Utilizing surface water resource data from official water resource bulletins, we employed 14 advanced machine learning models to reconstruct the CNSW 1.0 dataset. The resulting dataset exhibits high accuracy, with an R² of 0.978 for total surface water resources and acceptable level of bias across China. CNSW 1.0 not only outperforms existing datasets like CNRD v1.0, GRUN, and ISIMIP in terms of simulation accuracy and spatial distribution but also fills a critical gap in water resource data for China. This dataset is expected to be an invaluable tool for developing more informed water resource management strategies at the administrative level in China, particularly in the context of climate change.
The CNSW 1.0 encompasses surface water resource data for 341 prefectural-level administrative units in mainland China over a period from 2000 to 2020, comprising a total of 16 surface water datasets. The data are stored in both CSV and shapefile (SHP) formats. The naming convention for annual spatial distribution shapefiles follows the structure "CNSW_1.0_YYY_ZZZZ.shp," where "YYY" represents the model’s name, and "ZZZZ" denotes the year. The naming convention for multi-year average spatial distribution shapefiles is "CNSW_1.0_mean_YYY.shp," and for the spatial evolution trend shapefiles, it is "CNSW_1.0_trend_YYY.shp." A total of 368 shapefiles are provided, which approximately take up 7.2GB of disk space. Additional information, such as region, province, and prefecture area, is also stored in the files.
DOI: 10.15468/dl.7j3xnw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachospermum Roth, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056171-250525065834625/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.28597493
title: Combinatorial discovery of micro-topographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication

description: Numerical Data for graphs in Figs 1 - 8; S3, S8 and S9
DOI: 10.6084/m9.figshare.28597493.v1
title: Combinatorial discovery of micro-topographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication

description: Numerical Data for graphs in Figs 1 - 8; S3, S8 and S9
DOI: 10.6084/m9.figshare.25112207
title: Heat Shock Proteins Function as Signaling Molecules to Mediate Neuron-Glia Communication During Aging

description: Normalized data from LC-MS/MS
DOI: 10.6084/m9.figshare.25112207.v1
title: Heat Shock Proteins Function as Signaling Molecules to Mediate Neuron-Glia Communication During Aging

description: Normalized data from LC-MS/MS
DOI: 10.15468/dl.f87rkk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((10.1382 29.0599,1.1382 29.0599,1.1382 20.0599,10.1382 20.0599,10.1382 29.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056172-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29364185
title: Comparative mitogenomics reveals evolutionary drivers of Strongyloidea nematodes dwelling in gastrointestinal tract

description: This dataset includes mitochondrial protein-coding genes (PCGs) and ribosomal RNA genes (rrnL and rrnS) from 12 species, prepared for phylogenetic and evolutionary analyses through a standardized alignment and filtering pipeline.<b>Multiple Sequence Alignment</b><br>Protein sequences of mitochondrial PCGs and ribosomal RNAs were aligned using MAFFT with global alignment mode, which is suitable for homologous sequences. The output is a comprehensive multi-sequence alignment file (<code>alignment.fas</code>) containing both protein and rRNA data.<b>Protein-to-Nucleotide Alignment Conversion</b><br>To ensure codon-level accuracy in subsequent nucleotide analyses, PAL2NAL was used to convert the protein alignments back into nucleotide alignments. This step corrects potential frameshifts or misalignments due to sequencing errors and ensures that the codon structure is maintained. The result is a codon-aware nucleotide alignment (<code>nucleotide_alignment.fas</code>).<b>Conserved Region Filtering</b><br>Gblocks was employed to remove poorly aligned or highly variable regions from the nucleotide alignment. Parameters were set to default or adjusted to allow a moderate number of gaps, depending on alignment quality. The final output (<code>alignment_gblocks.fas</code>) consists of high-confidence conserved regions, suitable for downstream phylogenetic inference.This workflow ensures alignment accuracy at both the amino acid and nucleotide levels, providing high-quality input data for reliable evolutionary analyses.
DOI: 10.6084/m9.figshare.29364185.v2
title: Comparative mitogenomics reveals evolutionary drivers of Strongyloidea nematodes dwelling in gastrointestinal tract

description: This dataset includes mitochondrial protein-coding genes (PCGs) and ribosomal RNA genes (rrnL and rrnS) from 12 species, prepared for phylogenetic and evolutionary analyses through a standardized alignment and filtering pipeline.<b>Multiple Sequence Alignment</b><br>Protein sequences of mitochondrial PCGs and ribosomal RNAs were aligned using MAFFT with global alignment mode, which is suitable for homologous sequences. The output is a comprehensive multi-sequence alignment file (<code>alignment.fas</code>) containing both protein and rRNA data.<b>Protein-to-Nucleotide Alignment Conversion</b><br>To ensure codon-level accuracy in subsequent nucleotide analyses, PAL2NAL was used to convert the protein alignments back into nucleotide alignments. This step corrects potential frameshifts or misalignments due to sequencing errors and ensures that the codon structure is maintained. The result is a codon-aware nucleotide alignment (<code>nucleotide_alignment.fas</code>).<b>Conserved Region Filtering</b><br>Gblocks was employed to remove poorly aligned or highly variable regions from the nucleotide alignment. Parameters were set to default or adjusted to allow a moderate number of gaps, depending on alignment quality. The final output (<code>alignment_gblocks.fas</code>) consists of high-confidence conserved regions, suitable for downstream phylogenetic inference.This workflow ensures alignment accuracy at both the amino acid and nucleotide levels, providing high-quality input data for reliable evolutionary analyses.
DOI: 10.6084/m9.figshare.29364185.v1
title: Comparative mitogenomics reveals evolutionary drivers of Strongyloidea nematodes dwelling in gastrointestinal tract

description: This dataset includes mitochondrial protein-coding genes (PCGs) and ribosomal RNA genes (rrnL and rrnS) from 12 species, prepared for phylogenetic and evolutionary analyses through a standardized alignment and filtering pipeline.<b>Multiple Sequence Alignment</b><br>Protein sequences of mitochondrial PCGs and ribosomal RNAs were aligned using MAFFT with global alignment mode, which is suitable for homologous sequences. The output is a comprehensive multi-sequence alignment file (<code>alignment.fas</code>) containing both protein and rRNA data.<b>Protein-to-Nucleotide Alignment Conversion</b><br>To ensure codon-level accuracy in subsequent nucleotide analyses, PAL2NAL was used to convert the protein alignments back into nucleotide alignments. This step corrects potential frameshifts or misalignments due to sequencing errors and ensures that the codon structure is maintained. The result is a codon-aware nucleotide alignment (<code>nucleotide_alignment.fas</code>).<b>Conserved Region Filtering</b><br>Gblocks was employed to remove poorly aligned or highly variable regions from the nucleotide alignment. Parameters were set to default or adjusted to allow a moderate number of gaps, depending on alignment quality. The final output (<code>alignment_gblocks.fas</code>) consists of high-confidence conserved regions, suitable for downstream phylogenetic inference.This workflow ensures alignment accuracy at both the amino acid and nucleotide levels, providing high-quality input data for reliable evolutionary analyses.
DOI: 10.5281/zenodo.15695528
title: ARE-Konsultationsinzidenz

description: Zur Einschätzung der Krankheitslast akuter Atemwegsinfektionen im ambulanten Bereich wird die Inzidenz der Arztbesuche wegen einer akuten respiratorischen Erkrankung pro 100.000 Einwohner mit Daten aus einem Netzwerk primärversorgender Praxen in Deutschland wöchentlich berechnet (ARE-Konsultationsinzidenz). Zeitnahe und valide Daten über die Häufigkeit von akuten Atemwegserkrankungen, die zu einem Arztbesuch führen, sind essenziell für die Einschätzung der epidemiologischen Lage und die Entwicklung und Anpassung von Präventionsstrategien.
DOI: 10.6084/m9.figshare.28431374
title: Feedback between F-actin organization and active stress govern criticality and energy localization in the cell cytoskeleton

description: Source data for each Figs. and Sfigs.
DOI: 10.6084/m9.figshare.28431374.v1
title: Feedback between F-actin organization and active stress govern criticality and energy localization in the cell cytoskeleton

description: Source data for each Figs. and Sfigs.
DOI: 10.15468/dl.hnwzta
title: Occurrence Download

description: A dataset containing 2591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Cinnyris Cuvier, 1816"
 ]
}

 The dataset includes 2591 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056173-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hns2g3
title: Occurrence Download

description: A dataset containing 2344001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, CR, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 1990-2025"
 ]
}

 The dataset includes 2344001 records from 4699 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056162-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14728831
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rutger Sernander, http://www.wikidata.org/entity/Q919826. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q919826
DOI: 10.5281/zenodo.14728832
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rutger Sernander, http://www.wikidata.org/entity/Q919826. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q919826
DOI: 10.15468/dl.5ebcce
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000085-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrpup5
title: Occurrence Download

description: A dataset containing 156346 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Turdus fuscater Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 156346 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000076-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmm2fb
title: Occurrence Download

description: A dataset listing the 1100975 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset's 1100975 records were derived from 17027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000095-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.