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

description: A dataset containing 30323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cornu aspersum (O.F.Müller, 1774)"
 ]
}

 The dataset includes 30323 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011172-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6b25rj
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagidina platycerus",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322266-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e6ffc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tenthredo analis",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322296-210914110416597/datasets/export for details.
DOI: 10.15468/dl.zrh4gy
title: Occurrence Download

description: A dataset containing 1951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tillandsia geminiflora Brongn."
 ]
}

 The dataset includes 1951 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200727-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz2gxx
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Metachirus nudicaudatus modestus Thomas, 1923, Lutreolina crassicaudata crassicaudata, Gracilinanus microtarsus microtarsus, Caluromys derbianus aztecus (Thomas, 1913), Caluromys lanatus lanatus)"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020858-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7he3yb
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baliospermum Blume"
 ]
}

 The dataset includes 821 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204786-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncfnum
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudosmodingium barkleyi Miranda"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322309-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g8kcp
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolytus schevyrewi A.P.Semenov Tjan-Shansky, 1902"
 ]
}

 The dataset includes 98 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204797-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/4601713
title: Bitcoin Price Trends With Indicators (8 Years)
DOI: 10.15468/dl.5cvmxa
title: Occurrence Download

description: A dataset containing 2607918192 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 2607918192 records from 62963 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012300-230918134249559/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/12137286
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.rgkcfh
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "Country is one of (Ghana, Benin, Gabon, Congo, Democratic Republic of the, Côte d’Ivoire, Central African Republic, Cameroon, Nigeria, Congo, Sierra Leone, South Sudan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Funisciurus Trouessart, 1880",
 "Year 2010-2022"
 ]
}

 The dataset includes 193 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037679-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dk23yy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus crassicladus Jessop",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037680-250525065834625/datasets/export for details.
DOI: 10.15468/dl.q35tsk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Emmenopterys henryi)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 18,135 18,135 54,73 54,73 18))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037682-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29300051
title: Genotype_data.hmp.csv

description: Understanding the genetic control of fruit composition traits in interspecific grapevines (<i>Vitis</i><i> </i>spp.) is crucial when breeding new cultivars with desirable fruit chemistry. To address this, a genome-wide association study (GWAS) was conducted using 587 genotypes derived from three elite selections of the North Dakota Grape Germplasm Enhancement Program. This study spanned three seasons (2020-to-2022) and with phenotyping conducted at three different timepoints within each season for a total of nine phenotyping events focused on nine fruit traits. Several strong and stable QTL associations were identified on chromosomes 6, 16, and 17 across multiple phenotyping events for most sugar and acid-related traits. Notably, putative sugar transporter genes Vitvi16g00860 and Vitvi16g00861 on chromosome 16, which facilitate the movement of sugars and K+ ions across membranes, were found to be associated with all sugar and acid traits studied. Additionally, several QTL on chromosomes 1-5, 7, 14, and 18 were identified for various fruit quality traits across different phenotyping events. We determined functional connections between traits and scrutinized candidate genes by utilizing gene ontology annotations for genes located near significant SNPs. We also highlighted the effect of different forms of phenotype (BLUPs and unmodified) in suppressing certain QTL associations. This GWAS study focused on fruit quality in grapes, establishing a necessary knowledge base regarding the genetic architecture of these traits to aid molecular breeders in further improving them.
DOI: 10.6084/m9.figshare.29300051.v1
title: Genotype_data.hmp.csv

description: Understanding the genetic control of fruit composition traits in interspecific grapevines (<i>Vitis</i><i> </i>spp.) is crucial when breeding new cultivars with desirable fruit chemistry. To address this, a genome-wide association study (GWAS) was conducted using 587 genotypes derived from three elite selections of the North Dakota Grape Germplasm Enhancement Program. This study spanned three seasons (2020-to-2022) and with phenotyping conducted at three different timepoints within each season for a total of nine phenotyping events focused on nine fruit traits. Several strong and stable QTL associations were identified on chromosomes 6, 16, and 17 across multiple phenotyping events for most sugar and acid-related traits. Notably, putative sugar transporter genes Vitvi16g00860 and Vitvi16g00861 on chromosome 16, which facilitate the movement of sugars and K+ ions across membranes, were found to be associated with all sugar and acid traits studied. Additionally, several QTL on chromosomes 1-5, 7, 14, and 18 were identified for various fruit quality traits across different phenotyping events. We determined functional connections between traits and scrutinized candidate genes by utilizing gene ontology annotations for genes located near significant SNPs. We also highlighted the effect of different forms of phenotype (BLUPs and unmodified) in suppressing certain QTL associations. This GWAS study focused on fruit quality in grapes, establishing a necessary knowledge base regarding the genetic architecture of these traits to aid molecular breeders in further improving them.
DOI: 10.15468/dl.9hdp7b
title: Occurrence Download

description: A dataset containing 227042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacostraca",
 "Year 2023-2023"
 ]
}

 The dataset includes 227042 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037672-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5773
title: myanmar-english-accent-speech
DOI: 10.6084/m9.figshare.29299808
title: phenotype_data.xlsx

description: Understanding the genetic control of fruit composition traits in interspecific grapevines (<i>Vitis</i><i> </i>spp.) is crucial when breeding new cultivars with desirable fruit chemistry. To address this, a genome-wide association study (GWAS) was conducted using 587 genotypes derived from three elite selections of the North Dakota Grape Germplasm Enhancement Program. This study spanned three seasons (2020-to-2022) and with phenotyping conducted at three different timepoints within each season for a total of nine phenotyping events focused on nine fruit traits. Several strong and stable QTL associations were identified on chromosomes 6, 16, and 17 across multiple phenotyping events for most sugar and acid-related traits. Notably, putative sugar transporter genes Vitvi16g00860 and Vitvi16g00861 on chromosome 16, which facilitate the movement of sugars and K+ ions across membranes, were found to be associated with all sugar and acid traits studied. Additionally, several QTL on chromosomes 1-5, 7, 14, and 18 were identified for various fruit quality traits across different phenotyping events. We determined functional connections between traits and scrutinized candidate genes by utilizing gene ontology annotations for genes located near significant SNPs. We also highlighted the effect of different forms of phenotype (BLUPs and unmodified) in suppressing certain QTL associations. This GWAS study focused on fruit quality in grapes, establishing a necessary knowledge base regarding the genetic architecture of these traits to aid molecular breeders in further improving them.
DOI: 10.6084/m9.figshare.29299808.v1
title: phenotype_data.xlsx

description: Understanding the genetic control of fruit composition traits in interspecific grapevines (<i>Vitis</i><i> </i>spp.) is crucial when breeding new cultivars with desirable fruit chemistry. To address this, a genome-wide association study (GWAS) was conducted using 587 genotypes derived from three elite selections of the North Dakota Grape Germplasm Enhancement Program. This study spanned three seasons (2020-to-2022) and with phenotyping conducted at three different timepoints within each season for a total of nine phenotyping events focused on nine fruit traits. Several strong and stable QTL associations were identified on chromosomes 6, 16, and 17 across multiple phenotyping events for most sugar and acid-related traits. Notably, putative sugar transporter genes Vitvi16g00860 and Vitvi16g00861 on chromosome 16, which facilitate the movement of sugars and K+ ions across membranes, were found to be associated with all sugar and acid traits studied. Additionally, several QTL on chromosomes 1-5, 7, 14, and 18 were identified for various fruit quality traits across different phenotyping events. We determined functional connections between traits and scrutinized candidate genes by utilizing gene ontology annotations for genes located near significant SNPs. We also highlighted the effect of different forms of phenotype (BLUPs and unmodified) in suppressing certain QTL associations. This GWAS study focused on fruit quality in grapes, establishing a necessary knowledge base regarding the genetic architecture of these traits to aid molecular breeders in further improving them.
DOI: 10.15468/dl.qpws59
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bothriochloa Kuntze",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037685-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrjybh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus striatus (L.f.) Thunb.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037683-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vs3myd
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus suaveolens Burch.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037684-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4ze38
title: Occurrence Download

description: A dataset containing 94624 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((73.07719365776286 22.32607321477934,73.0688608423219 22.315549879373155,73.052336138938 22.282603155436043,73.04312253146125 22.247276949929724,73.04157203590582 22.210965097863784,73.04773073534326 22.17509692844287,73.0613392172885 22.141079241843368,73.08184571410608 22.110239982855482,73.10843096032586 22.08377603959016,73.1400432786289 22.06270727017187,73.1754420423678 22.047838444216946,73.21324744385738 22.039730321943047,73.25199441503987 22.038680623455022,73.25883463057446 22.039123787793642,73.26431011471716 22.039438678829125,73.26578926599977 22.039528880445573,73.27017207661854 22.039811421567222,73.27015648614831 22.040021753631738,73.2791119792173 22.040202107535755,73.28341423617306 22.040613552975575,73.32109254522817 22.047730434785983,73.35655568763626 22.061524687738544,73.35974821201293 22.063123236830258,73.36724976362947 22.0670783801579,73.3696267138206 22.0683962707676,73.41109541932398 22.099104730425132,73.41212049495581 22.100100632167436,73.4127910348842 22.100755282637536,73.41583648801473 22.103742909606538,73.43813324661075 22.130056814657152,73.44490588918931 22.14202564152604,73.45028815962884 22.14969216786313,73.45380307034847 22.157732155541876,73.45492440125454 22.1597103246281,73.4566744580982 22.16363140220519,73.4564257471857 22.16372772791333,73.46453111921397 22.182238022066862,73.47185336783085 22.216723613568142,73.47197604415182 22.251888941512952,73.464880311108 22.28644578223691,73.45081012709593 22.319123411014875,73.43026594212742 22.348714404899116,73.40398915687308 22.374119015092155,73.37293748226557 22.39438651795117,73.37201868934586 22.394870655493666,73.33926334624944 22.408625674179078,73.32648062375603 22.411554254808287,73.30392002735577 22.41915019741299,73.29648558795263 22.420142958390596,73.29481514281544 22.42064701096874,73.2858872847108 22.42155681166257,73.2639524604162 22.424477789921717,73.26127383170213 22.42457690050312,73.2612517681819 22.424061121109442,73.25467555010131 22.42472808595475,73.21445561723877 22.42111379793482,73.17585307676707 22.40994174976573,73.14050190132805 22.391672170608356,73.13891331128691 22.390639528167892,73.099047386709 22.356198851109493,73.09819376862748 22.355224511797438,73.08854596978185 22.34071824027713,73.08492425102027 22.335881753332085,73.08138489759003 22.332104759997538,73.0813520805788 22.332046192267434,73.07822116325566 22.32871558749477,73.07656537187064 22.32647509363814,73.07719365776286 22.32607321477934)))"
 ]
}

 The dataset includes 94624 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037670-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvgwrn
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.36192 51.87259,8.73729 51.87259,8.73729 52.12069,8.36192 52.12069,8.36192 51.87259))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 312 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037687-250525065834625/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.29249417
title: Efficacy and safety of lenvatinib plus transarterial chemoembolization with or without programmed death-1 inhibitors in the treatment of intermediate or advanced hepatocellular carcinoma A system

description: This is an original data from a systematic review and meta-analysis on the efficacy and safety of lenvatinib combined with transarterial chemoembolization (regardless of whether it is combined with programmed death-1 inhibitors) in the treatment of advanced hepatocellular carcinoma.
DOI: 10.6084/m9.figshare.29249417.v1
title: Efficacy and safety of lenvatinib plus transarterial chemoembolization with or without programmed death-1 inhibitors in the treatment of intermediate or advanced hepatocellular carcinoma A system

description: This is an original data from a systematic review and meta-analysis on the efficacy and safety of lenvatinib combined with transarterial chemoembolization (regardless of whether it is combined with programmed death-1 inhibitors) in the treatment of advanced hepatocellular carcinoma.
DOI: 10.6084/m9.figshare.29249417.v2
title: Efficacy and safety of lenvatinib plus transarterial chemoembolization with or without programmed death-1 inhibitors in the treatment of intermediate or advanced hepatocellular carcinoma A system

description: This is an original data from a systematic review and meta-analysis on the efficacy and safety of lenvatinib combined with transarterial chemoembolization (regardless of whether it is combined with programmed death-1 inhibitors) in the treatment of advanced hepatocellular carcinoma.
DOI: 10.15468/dl.myvhx6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Piper kadsura (Choisy) Ohwi)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 18,135 18,135 54,73 54,73 18))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037690-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15642441
title: Test Data for the implementation of the SPAR TC Matframework

description: This dataset contains daily precipitation data over India from 2007 to 2022, organized as triplets for multi-scale analysis. Each triplet consists of three datasets—X, Y, and Z—representing fine, medium, and coarse spatial resolutions, respectively. Dataset X is the fine-scale dataset derived from the SM2RAIN product, which estimates rainfall using active remote sensing based on soil moisture inversion. It has a spatial resolution of 0.1° × 0.1°. Dataset Y is the medium-scale dataset obtained from ERA5 reanalysis, representing model-based precipitation estimates, also at a resolution of 0.1° × 0.1°. Dataset Z is the coarse-scale dataset derived from the CHIRPS product, which combines passive satellite observations with ground station data, and has a resolution of 0.25° × 0.25°. 

The dataset will be used to estimate scale-dependent error variances for the triplets using the SPAR‑TC (Spatially Representative Triple Collocation) approach. SPAR-TC enables the estimation of error variances for each dataset in a triplet without requiring a ground truth reference, making it suitable for evaluating remotely sensed and model-based precipitation products.
DOI: 10.5281/zenodo.15642442
title: Test Data for the implementation of the SPAR TC Matframework

description: This dataset contains daily precipitation data over India from 2007 to 2022, organized as triplets for multi-scale analysis. Each triplet consists of three datasets—X, Y, and Z—representing fine, medium, and coarse spatial resolutions, respectively. Dataset X is the fine-scale dataset derived from the SM2RAIN product, which estimates rainfall using active remote sensing based on soil moisture inversion. It has a spatial resolution of 0.1° × 0.1°. Dataset Y is the medium-scale dataset obtained from ERA5 reanalysis, representing model-based precipitation estimates, also at a resolution of 0.1° × 0.1°. Dataset Z is the coarse-scale dataset derived from the CHIRPS product, which combines passive satellite observations with ground station data, and has a resolution of 0.25° × 0.25°. 

The dataset will be used to estimate scale-dependent error variances for the triplets using the SPAR‑TC (Spatially Representative Triple Collocation) approach. SPAR-TC enables the estimation of error variances for each dataset in a triplet without requiring a ground truth reference, making it suitable for evaluating remotely sensed and model-based precipitation products.