cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26757505.v1
title: Additional file 2 of Correction: scMultiome analysis identifies a single caudal hindbrain compartment in the developing zebrafish nervous system

description: Additional file 2: Table S2
DOI: 10.6084/m9.figshare.26757508.v1
title: Additional file 3 of Correction: scMultiome analysis identifies a single caudal hindbrain compartment in the developing zebrafish nervous system

description: Additional file 3: Table S3
DOI: 10.6084/m9.figshare.26637441
title: Additional file 5 of Establishing reliable DNA barcoding primers for jumping plant lice (Psylloidea, Hemiptera)

description: Additional file 5: Table S4. Results of PCR amplifications of the 36 psyllid species analysed (20 genera and 5 families) with the different pairs of primers tested. X = no amplification; Yes/No = formation or not of reproducible discrete bands after electrophoresis of PCR amplifications
DOI: 10.6084/m9.figshare.26635476.v1
title: Additional file 3 of Annotation of cell types (ACT): a convenient web server for cell type annotation

description: Additional file 3: Table S1. Manual inspection and correction of originally incorrectly annotated clusters across five datasets. Table S2. The major-cell-type catalog used for mapping cell types to a unified level.
DOI: 10.6084/m9.figshare.26635017
title: Additional file 8 of Differential airway resistome and its correlations with clinical characteristics in Haemophilus- or Pseudomonas-predominant microbial subtypes of bronchiectasis

description: Additional file 8: Table S1. The baseline (stable state) clinical characteristics for individuals classified as Haemophilus-predominant, Pseudomonas-predominant and balanced microbiome subtypes.
DOI: 10.6084/m9.figshare.26635023.v1
title: Additional file 10 of Differential airway resistome and its correlations with clinical characteristics in Haemophilus- or Pseudomonas-predominant microbial subtypes of bronchiectasis

description: Additional file 10: Table S3. The differentially abundant ARGs in comparisons of the Haemophilus-predominant and Pseudomonas-predominant subgroups versus the balanced microbiota subgroup. Also shown are their statistics in the Mac Aogain et al. dataset.
DOI: 10.6084/m9.figshare.26635029
title: Additional file 12 of Differential airway resistome and its correlations with clinical characteristics in Haemophilus- or Pseudomonas-predominant microbial subtypes of bronchiectasis

description: Additional file 12: Table S5. The Adonis associations between clinical parameters and the ARG profiles in the Mac Aogain et al. dataset, among all stable samples and within the subgroup of Haemophilus-predominant and Pseudomonas-predominant respectively.
DOI: 10.15468/dl.g5fxys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.683914 -34.34329, 148.683914 -34.345536, 148.688405 -34.345536, 148.688405 -34.34329, 148.683914 -34.34329))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070952-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.24532286.v1
title: Additional file 2 of Transcriptomic and metabolomic analyses reveal the essential nature of Rab1B in Toxoplasma gondii

description: Additional file 2. Summary of RNA-sequencing results obtained in the study by Illumina NovaSeq 6000 platform.
DOI: 10.6084/m9.figshare.24494496
title: Additional file 2 of Investigation on the association between serum lipid levels and periodontitis: a bidirectional Mendelian randomization analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26637168.v1
title: Additional file 6 of Phytochromes transmit photoperiod information via the evening complex in Brachypodium

description: Additional file 6: Supplementary Dataset S6. Coincidence between ELF3 and PHYC ChIP-seq peaks.
DOI: 10.6084/m9.figshare.26637171.v1
title: Additional file 7 of Phytochromes transmit photoperiod information via the evening complex in Brachypodium

description: Additional file 7: Supplementary Dataset S7. Gene names used in this study.
DOI: 10.15468/dl.npyxbf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.796204 -34.34329, 148.796204 -34.345536, 148.798449 -34.345536, 148.798449 -34.34329, 148.796204 -34.34329))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070953-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26757262.v1
title: Additional file 1 of Food security and large-scale land acquisitions by sovereign wealth funds: a systematic review of the literature from 2012 to 2023

description: Additional file 1 (XLSX 28 kb)
DOI: 10.57967/hf/2892
title: pixelprose
DOI: 10.15468/dl.khvgy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.833375 -34.345536, 146.833375 -34.347782, 146.835621 -34.347782, 146.835621 -34.345536, 146.833375 -34.345536))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070954-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26637585
title: Additional file 6 of A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design

description: Additional file 6: Table S5.Gene list of 352 UE transcripts detected by eLNNpairedCov.SEM.
DOI: 10.6084/m9.figshare.26637582.v1
title: Additional file 5 of A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design

description: Additional file 5: Table S4.Gene list of 355 UE transcripts detected by eLNNpairedCov.
DOI: 10.6084/m9.figshare.26637585.v1
title: Additional file 6 of A model-based clustering via mixture of hierarchical models with covariate adjustment for detecting differentially expressed genes from paired design

description: Additional file 6: Table S5.Gene list of 352 UE transcripts detected by eLNNpairedCov.SEM.
DOI: 10.15468/dl.vsd744
title: Occurrence Download

description: A dataset containing 36074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate uncertainty meters invalid, Continent derived from coordinates)",
 "TaxonKey is one of (Micrurus distans Kennicott, 1860, Crotalus scutulatus Kennicott, 1861, Crotalus pricei Van Denburgh, 1895, Crotalus polystictus (Cope, 1865), Crotalus molossus Baird & Girard, 1853, Crotalus lepidus Kennicott, 1861, Crotalus basiliscus (Cope, 1864), Crotalus aquilus Klauber, 1952, Crotalus atrox Baird & Girard, 1853)"
 ]
}

 The dataset includes 36074 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070955-240626123714530/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.26637534
title: Additional file 1 of Roles of gut microbiota in atrial fibrillation: insights from Mendelian randomization analysis and genetic data from over 430,000 cohort study participants

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24532311
title: Additional file 2 of Interplay between lncRNA RP11-367G18.1 variant 2 and YY1 plays a vital role in hypoxia-mediated gene expression and tumorigenesis

description: Supplementary Material 2
DOI: 10.15468/dl.bynxw4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.842358 -34.345536, 146.842358 -34.347782, 146.84685 -34.347782, 146.84685 -34.345536, 146.842358 -34.345536))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070956-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wme37q
title: Occurrence Download

description: A dataset containing 5464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megalastrum Holttum"
 ]
}

 The dataset includes 5464 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070957-240626123714530/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.26637399.v1
title: Additional file 14 of Unraveling temporal and spatial biomarkers of epithelial-mesenchymal transition in colorectal cancer: insights into the crucial role of immunosuppressive cells

description: Additional file 14: Survial analysis for pseudotime differential genes.
DOI: 10.15468/dl.3p6zqh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.041615 -34.345536, 148.041615 -34.347782, 148.052844 -34.347782, 148.052844 -34.345536, 148.041615 -34.345536))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070958-240626123714530/datasets/export for details.
DOI: 10.34740/kaggle/dsv/9188541
title: BBC News
DOI: 10.6084/m9.figshare.26637603.v1
title: Additional file 2 of Longitudinal metagenomic study reveals the dynamics of fecal antibiotic resistome in pigs throughout the lifetime

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26637603
title: Additional file 2 of Longitudinal metagenomic study reveals the dynamics of fecal antibiotic resistome in pigs throughout the lifetime

description: Supplementary Material 2
DOI: 10.15468/dl.gvvtpj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.088777 -34.34329, 148.088777 -34.345536, 148.077548 -34.345536, 148.077548 -34.347782, 148.100006 -34.347782, 148.100006 -34.345536, 148.093269 -34.345536, 148.093269 -34.34329, 148.088777 -34.34329)), ((148.100006 -34.347782, 148.100006 -34.352273, 148.104498 -34.352273, 148.104498 -34.347782, 148.100006 -34.347782)))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070959-240626123714530/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.24494503.v1
title: Additional file 2 of Heat-induced female biased sex ratio during development is not mitigated after prolonged thermal selection

description: Additional file 2: Table S2. Effect of Sex and Selection on offspring number at control (18 oC) conditions.
DOI: 10.6084/m9.figshare.24494503
title: Additional file 2 of Heat-induced female biased sex ratio during development is not mitigated after prolonged thermal selection

description: Additional file 2: Table S2. Effect of Sex and Selection on offspring number at control (18 oC) conditions.
DOI: 10.15468/dl.48xa4p
title: Occurrence Download

description: A dataset containing 15229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panthera onca (Linnaeus, 1758), Panthera pardus orientalis (Schlegel, 1857), Panthera pardus (Linnaeus, 1758), Panthera uncia (Schreber, 1775), Panthera tigris tigris, Panthera tigris sondaica Temminck, 1844)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 15229 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022891-241107131044228/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/9957928
title: Layline Shareholder activism dataset
DOI: 10.5281/zenodo.14189633
title: 19328_2020_10_31_downUpshift_four_2_0_2_glu_dual_phl__glt1_ura8_ura8__00 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.5281/zenodo.14189634
title: 19328_2020_10_31_downUpshift_four_2_0_2_glu_dual_phl__glt1_ura8_ura8__00 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.6084/m9.figshare.27859968
title: Dataset Responses of Respondents Bali THK

description: Dataset Responses of Respondents Bali THK. N =71.
DOI: 10.6084/m9.figshare.27859968.v1
title: Dataset Responses of Respondents Bali THK

description: Dataset Responses of Respondents Bali THK. N =71.
DOI: 10.21227/qna2-nh44
title: Skin-Path

description: Vision-language (VL) datasets are essential for advancing the capabilities of VL models, particularly in specialized domains like medical imaging. However, existing medical VL datasets are relatively small and predominantly focus on chest X-rays, limiting their applicability to other areas. To address this gap, we introduce the Skin-Path dataset, a comprehensive VL dataset specifically curated for histopathology. This dataset comprises 194 H&E-stained whole slide images (WSIs) from distinct patients, digitized at 20x magnification and annotated with diagnostic reports by senior pathologists. From these WSIs, we extracted 277,761 image patches, each sized 300×300 pixels, accompanied by corresponding captions. The Skin-Path dataset covers 10 distinct skin diseases, including seborrhoeic keratosis, basal cell carcinoma, and squamous cell carcinoma. Our analysis demonstrates significant diversity in the dataset, with a unique word distribution distinct from general VL datasets, as visualized through word clouds. This dataset provides a robust foundation for training and evaluating VL models tailored for histopathological applications.
DOI: 10.15468/dl.ce2d4k
title: Occurrence Download

description: A dataset containing 264191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-10-25",
 "EventDate is less than or equal to 2024-11-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 264191 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022882-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtweqj
title: Occurrence Download

description: A dataset containing 3076702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 1890-1896"
 ]
}

 The dataset includes 3076702 records from 2676 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022860-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0196485.10fu
title: SH0196485.10FU

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/sh0196486.10fu
title: SH0196486.10FU

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/sh0196487.10fu
title: SH0196487.10FU

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/sh0196488.10fu
title: SH0196488.10FU

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/sh0196489.10fu
title: SH0196489.10FU

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/sh0196490.10fu
title: SH0196490.10FU

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/sh0196491.10fu
title: SH0196491.10FU

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.