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

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amorphophallus lanceolatus (Serebryanyi) Hett. & Claudel"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096608-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnnnt8
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-4.41937 39.53962,-2.85849 39.53962,-2.85849 40.74574,-4.41937 40.74574,-4.41937 39.53962))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes ichneumon (Linnaeus, 1758)"
 ]
}

 The dataset includes 70 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001346-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ylm8v
title: Occurrence Download

description: A dataset containing 1793 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus acutus (Cuvier, 1807)"
 ]
}

 The dataset includes 1793 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002423-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz5u5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Arremon axillaris",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062576-230530130749713/datasets/export for details.
DOI: 10.15468/dl.nrvdcj
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Oryza punctata Kotschy ex Steud.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 554 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008149-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtnmyh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metopograpsus latifrons (White, 1847)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-14 42, 9 38, -7 26, -14 42))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011805-230828120925497/datasets/export for details.
DOI: 10.15468/dl.u63dj3
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil"
 ]
 },
 "Country is Mexico",
 "TaxonKey is Andira inermis (W.Wright) DC."
 ]
}

 The dataset includes 392 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002423-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgmu4j
title: Occurrence Download

description: A dataset containing 293922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Passiflora L., Adenia Forssk., Ancistrothyrsus Harms, Basananthe Peyr., Dilkea Mast., Efulensia C.H.Wright, Schlechterina Harms, Deidamia Noronha ex Thouars)"
 ]
}

 The dataset includes 293922 records from 1344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205674-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgj4zj
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coryphaenoides armatus (Hector, 1875)"
 ]
}

 The dataset includes 362 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010467-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.273bwh
title: Occurrence Download

description: A dataset containing 1377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anopheles darlingi Root, 1926"
 ]
}

 The dataset includes 1377 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021971-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6rzcn
title: Occurrence Download

description: A dataset containing 22248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Scarabaeidae"
 ]
}

 The dataset includes 22248 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002423-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6x2yt
title: Occurrence Download

description: A dataset containing 8208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters is less than or equal to 1000.0",
 "Geometry POLYGON((-86.84617 21.27927,-86.95621 27.61875,-86.8095 29.32749,-89.26697 29.39142,-90.40402 29.45532,-92.75146 29.74235,-94.03521 29.64676,-95.02554 29.1995,-96.08923 28.71811,-97.18959 28.2668,-97.77645 26.99953,-97.22627 25.9819,-97.92316 25.25429,-98.0332 22.09723,-96.08923 18.83324,-94.54872 17.92826,-91.24763 18.79852,-90.36734 19.66431,-90.44069 21.1767,-86.84617 21.27927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Actinopterygii",
 "Year 2010-2022"
 ]
}

 The dataset includes 8208 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001364-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.664rt4
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Locustella luscinioides (Savi, 1824)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46,19.51 36.21,6.41 36.21,6.41 47.46,19.51 47.46)))"
 ]
}

 The dataset includes 1031 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037779-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7fsm4
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thylamys pusillus (Desmarest, 1804)"
 ]
}

 The dataset includes 210 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044565-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfkxtq
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-42.75512 -9.97461,-41.50218 -9.97461,-41.50218 -9.15355,-42.75512 -9.15355,-42.75512 -9.97461))",
 "Year 2015-2025"
 ]
}

 The dataset includes 299 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022598-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6355482
title: Satellite burned area dataset

description: Satellite burned area dataset: dataset containing several satellite acquisitions related to past forest wildfires. It contains 73 acquisitions from Sentinel2, Sentinel1 mission and Digital Elevation Model (DEM). This dataset can be used to train and validate segmentation models for the burned area delineation task and severity estimation.
DOI: 10.5281/zenodo.6355481
title: Satellite burned area dataset

description: Satellite burned area dataset: dataset containing several satellite acquisitions related to past forest wildfires. It contains 73 acquisitions from Sentinel2, Sentinel1 mission and Digital Elevation Model (DEM). This dataset can be used to train and validate segmentation models for the burned area delineation task and severity estimation.
DOI: 10.6084/m9.figshare.19367378
title: Additional file 1 of Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

description: Additional file 1: Table S1. Spearman’s correlation analysis between yellow rust disease scores and model predictor variables derived from high-throughput phenotyping (HTPP) data collected at two dates under field conditions.
DOI: 10.6084/m9.figshare.19367378.v1
title: Additional file 1 of Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

description: Additional file 1: Table S1. Spearman’s correlation analysis between yellow rust disease scores and model predictor variables derived from high-throughput phenotyping (HTPP) data collected at two dates under field conditions.
DOI: 10.6084/m9.figshare.19367381
title: Additional file 2 of Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

description: Additional file 2: Table S2. Full ranking of high-throughput phenotyping features of based on results of recursive feature elimination (RFE).
DOI: 10.6084/m9.figshare.19367381.v1
title: Additional file 2 of Predicting yellow rust in wheat breeding trials by proximal phenotyping and machine learning

description: Additional file 2: Table S2. Full ranking of high-throughput phenotyping features of based on results of recursive feature elimination (RFE).
DOI: 10.25345/c5445hg2g
title: MassIVE MSV000089069 - GNPS-Trial with 4 libraries and 4 samples
title: This analysis is performed to check the condition of experiment
DOI: 10.6084/m9.figshare.19367389
title: Additional file 27 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 27. Title of data: Motifs detected by CNN interpretation and MEME. Description of data: Motifs-binding proteins interpreted from CNNs were listed and ID of motifs in MEME database were also listed, with corresponding number of those detected from CNN in each stage.
DOI: 10.6084/m9.figshare.19367392
title: Additional file 28 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 28. Title of data: protein model templates of 6 DOF genes. Description of data: Protein models of 6 DOFs were built by SwissModel, and the best 50 templates were selected and listed in this table.
DOI: 10.6084/m9.figshare.19367389.v1
title: Additional file 27 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 27. Title of data: Motifs detected by CNN interpretation and MEME. Description of data: Motifs-binding proteins interpreted from CNNs were listed and ID of motifs in MEME database were also listed, with corresponding number of those detected from CNN in each stage.
DOI: 10.6084/m9.figshare.19367392.v1
title: Additional file 28 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 28. Title of data: protein model templates of 6 DOF genes. Description of data: Protein models of 6 DOFs were built by SwissModel, and the best 50 templates were selected and listed in this table.
DOI: 10.6084/m9.figshare.19367416
title: Additional file 3 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 3. Title of data: Accuracies of models with different parameters in initiation. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367416.v1
title: Additional file 3 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 3. Title of data: Accuracies of models with different parameters in initiation. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367419
title: Additional file 4 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 4. Title of data: Accuracies of models with different parameters in elongation. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367419.v1
title: Additional file 4 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 4. Title of data: Accuracies of models with different parameters in elongation. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367422.v1
title: Additional file 5 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 5. Title of data: Accuracies of models with different parameters in SCW. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367422
title: Additional file 5 of Interpretation of convolutional neural networks reveals crucial sequence features involving in transcription during fiber development

description: Additional file 5. Title of data: Accuracies of models with different parameters in SCW. Description of data: We tested performance of models with various parameters (filter number, kernel size and max-pooling size). Accuracies of these models were calculated to select the best model.
DOI: 10.6084/m9.figshare.19367473
title: Additional file 2 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 2.
DOI: 10.6084/m9.figshare.19367473.v1
title: Additional file 2 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 2.
DOI: 10.6084/m9.figshare.19367476.v1
title: Additional file 3 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 3.
DOI: 10.6084/m9.figshare.19367479
title: Additional file 4 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 4.
DOI: 10.6084/m9.figshare.19367476
title: Additional file 3 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 3.
DOI: 10.6084/m9.figshare.19367479.v1
title: Additional file 4 of Prevalence and correlates of suicide attempts in high-risk populations: a cross-sectional study among patients receiving opioid agonist therapy in Norway

description: Additional file 4.
DOI: 10.6084/m9.figshare.19367485.v1
title: Additional file 1 of Assessing the utility of virtual OSCE sessions as an educational tool: a national pilot study

description: Additional file 1.
DOI: 10.6084/m9.figshare.19367485
title: Additional file 1 of Assessing the utility of virtual OSCE sessions as an educational tool: a national pilot study

description: Additional file 1.
DOI: 10.6084/m9.figshare.19367495
title: Additional file 10 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 10: Table S6. Genes found in Jersey’s runs of homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367495.v1
title: Additional file 10 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 10: Table S6. Genes found in Jersey’s runs of homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367498.v1
title: Additional file 11 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 11: Table S7. Genes found in Angus’ heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367498
title: Additional file 11 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 11: Table S7. Genes found in Angus’ heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367501.v1
title: Additional file 12 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 12: Table S8. Genes found in Hereford’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367504
title: Additional file 13 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 13: Table S9. Genes found in Nellore 35 K’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367501
title: Additional file 12 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 12: Table S8. Genes found in Hereford’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367504.v1
title: Additional file 13 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 13: Table S9. Genes found in Nellore 35 K’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367507
title: Additional file 14 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 14: Table S10. Genes found in Senepol’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367507.v1
title: Additional file 14 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 14: Table S10. Genes found in Senepol’s heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367510
title: Additional file 15 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 15: Table S11. Genes found in Senepol’s runs of homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367510.v1
title: Additional file 15 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 15: Table S11. Genes found in Senepol’s runs of homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367513
title: Additional file 16 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 16: Table S12. Genes found in Santa Gertrudis’ heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367513.v1
title: Additional file 16 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 16: Table S12. Genes found in Santa Gertrudis’ heterozygous-enriched regions and the processes that are involved.
DOI: 10.6084/m9.figshare.19367531.v1
title: Additional file 6 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 6: Table S2. Genes found in AngusxSimmental crossbreed’s runs homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367528
title: Additional file 5 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 5: Table S1. Genes found in Brahman’s runs homozygosity islands and the processes that are involved.
DOI: 10.6084/m9.figshare.19367534
title: Additional file 7 of Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals

description: Additional file 7: Table S3. Genes found in Gyr’s runs of homozygosity islands and the processes that are involved.