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

description: A dataset containing 364744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "BasisOfRecord is Human Observation",
 "Year 2011-2015"
 ]
}

 The dataset includes 364744 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-150306150734599/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2g6jf4
title: Occurrence Download

description: A dataset containing 961 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ligusticum sinense Oliv."
 ]
}

 The dataset includes 961 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007178-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mnhu5
title: Occurrence Download

description: A dataset containing 2931 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dikerogammarus villosus (Sowinsky, 1894)"
 ]
}

 The dataset includes 2931 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0410714-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvyj3p
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saldula saltatoria (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209479-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmgvsn
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laevilacunaria Powell, 1951"
 ]
}

 The dataset's 9 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185922-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zf4f4
title: Occurrence Download

description: A dataset containing 18560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysomus ruficapillus (Vieillot, 1819)",
 "Year 1990-2020"
 ]
}

 The dataset includes 18560 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140372-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a28w2z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora brachyantha L.K.Escobar"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182671-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpffyi
title: Occurrence Download

description: A dataset containing 2879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothriochloa ischaemum (L.) Keng",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2879 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydttc8
title: Occurrence Download

description: A dataset containing 1574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Faidherbia albida (Delile) A.Chev."
 ]
}

 The dataset includes 1574 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004192-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyfdwt
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Chilina Gray, 1828"
 ]
}

 The dataset includes 321 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140375-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc3rkd
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Lithraea molleoides (Vell.) Engl.",
 "Year 2013-2023"
 ]
}

 The dataset includes 107 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059204-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru1ap7
title: Occurrence Download

description: A dataset containing 2088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla gratiosa LeConte, 1856"
 ]
}

 The dataset includes 2088 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-150523225239109/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3d0j3
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Pinus cubensis Griseb. & Carab.",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 48 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023998-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jafntx
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echeandia williamsii Cruden"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185937-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oomzmv
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus montezumae Lamb.",
 "Country is Mexico"
 ]
}

 The dataset includes 567 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-150827100048397/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fcpb1
title: Occurrence Download

description: A dataset containing 1260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 1960-2020",
 "TaxonKey is Montanoa tomentosa Cerv."
 ]
}

 The dataset includes 1260 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032197-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qiadya
title: Occurrence Download

description: A dataset containing 577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kobus kob (Erxleben, 1777)",
 "Geometry POLYGON((-29.97 -21.13,-29.97 43.58,80.24 43.58,80.24 -21.13,-29.97 -21.13))",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen"
 ]
 }
 ]
}

 The dataset includes 577 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bseq5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pabstiella transparens (Schltr.) Luer"
 ]
}

 The dataset includes 17 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182670-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9nwjq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echeandia venusta Woodson"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185932-230224095556074/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.14053257
title: Additional file 5 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 5 : Table S5. GO analysis of target DEGs of DElncRNAs predicted based on trans-regulation. The coexpression level between DEGs and DElncRNAs met the criterion of |PCC| &gt; 0.99 for performing the functional annotation.
DOI: 10.6084/m9.figshare.14053257.v1
title: Additional file 5 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 5 : Table S5. GO analysis of target DEGs of DElncRNAs predicted based on trans-regulation. The coexpression level between DEGs and DElncRNAs met the criterion of |PCC| &gt; 0.99 for performing the functional annotation.
DOI: 10.6084/m9.figshare.14053263
title: Additional file 7 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 7 : Table S6. The list of target DEGs of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues.
DOI: 10.6084/m9.figshare.14053263.v1
title: Additional file 7 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 7 : Table S6. The list of target DEGs of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues.
DOI: 10.6084/m9.figshare.14053266
title: Additional file 8 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 8 : Table S7. GO analysis of target genes of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues. The DElncRNA-mRNA pairs located on the same chromosome within 100 kb were assumed as potentially cis-regulated.
DOI: 10.6084/m9.figshare.14053266.v1
title: Additional file 8 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 8 : Table S7. GO analysis of target genes of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues. The DElncRNA-mRNA pairs located on the same chromosome within 100 kb were assumed as potentially cis-regulated.
DOI: 10.6084/m9.figshare.14053269
title: Additional file 9 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 9 : Table S8. GO analysis of target DEGs of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues. The DElncRNA-mRNA pairs located on the same chromosome within 100 kb were assumed as potentially cis-regulated.
DOI: 10.6084/m9.figshare.14053269.v1
title: Additional file 9 of Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

description: Additional file 9 : Table S8. GO analysis of target DEGs of DElncRNAs predicted by cis-regulatory action in liver and adrenal gland tissues. The DElncRNA-mRNA pairs located on the same chromosome within 100 kb were assumed as potentially cis-regulated.
DOI: 10.6084/m9.figshare.14053287.v1
title: Additional file 2 of Characterization of the human skin resistome and identification of two microbiota cutotypes

description: Additional file 1: Table S1. Statistics for sequencing data of the 822 samples from Shanghai-China and the 538 HMP samples. Table S2. Description of the genus-level bacteria associated with the skin. Table S3. Detailed information on the genome coverage obtained by iHSMGC. Table S4. Detailed result of ARGs identified in iHSMGC. Table S5. Detailed information about the cutotype classification. Table S6. Microbial functions of significant difference between C-cutotype and M-cutotype. Table S7. Detailed distribution of cutotypes in different age groups. Table S8.. Detailed information on the comparison of Moraxella osloensis and Enhydrobacter.
DOI: 10.6084/m9.figshare.14053287
title: Additional file 2 of Characterization of the human skin resistome and identification of two microbiota cutotypes

description: Additional file 1: Table S1. Statistics for sequencing data of the 822 samples from Shanghai-China and the 538 HMP samples. Table S2. Description of the genus-level bacteria associated with the skin. Table S3. Detailed information on the genome coverage obtained by iHSMGC. Table S4. Detailed result of ARGs identified in iHSMGC. Table S5. Detailed information about the cutotype classification. Table S6. Microbial functions of significant difference between C-cutotype and M-cutotype. Table S7. Detailed distribution of cutotypes in different age groups. Table S8.. Detailed information on the comparison of Moraxella osloensis and Enhydrobacter.
DOI: 10.6084/m9.figshare.19296177
title: MicroRNA-137 inhibits the inflammatory response and extracellular matrix degradation in lipopolysaccharide-stimulated human nucleus pulposus cells by targeting activin a receptor type I

description: This study aimed to investigate the role played by microRNA (miR)-137 in intervertebral disc degeneration via targeting activin A receptor type I (ACVR1) and the underlying mechanism. Human nucleus pulposus cells were exposed to 10 ng/mL lipopolysaccharide (LPS) to establish an <i>in vitro</i> intervertebral disc degeneration model. ACVR1, extracellular matrix degradation-associated genes (aggrecan and collagen type II) and miR-137 levels were assessed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and Western blotting assays. The MTT (3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide) assay and flow cytometry were used to evaluate nucleus pulposus cell viability and apoptosis. Additionally, the association between miR-137 and ACVR1 was predicted and verified using bioinformatic software and dual-luciferase reporter assays. Furthermore, the secretion of inflammatory factors was analyzed via enzyme linked immunosorbent assay (ELISA). Our results confirmed that ACVR1 was upregulated in lipopolysaccharide-treated nucleus pulposus cells. Lipopolysaccharide suppressed cell viability, promoted apoptosis, enhanced the secretion of inflammatory factors, and reduced aggrecan and collagen type II expression. However, these results were reversed upon ACVR1 silencing. Our data revealed that ACVR1 directly targets miR-137 and is negatively regulated by miR-137 in nucleus pulposus cells. Additionally, the miR-137 mimic promoted cell growth, reduced cell apoptosis, reduced the secretion of inflammatory cytokines, and accelerated extracellular matrix accumulation in lipopolysaccharide-exposed nucleus pulposus cells. However, ACVR1 plasmid abolished the functions of the miR-137 mimic in lipopolysaccharide-exposed nucleus pulposus cells. Together, these findings indicate that miR-137 suppresses the inflammatory response and extracellular matrix degradation in lipopolysaccharide-treated nucleus pulposus cells by targeting ACVR1.
DOI: 10.6084/m9.figshare.19296177.v1
title: MicroRNA-137 inhibits the inflammatory response and extracellular matrix degradation in lipopolysaccharide-stimulated human nucleus pulposus cells by targeting activin a receptor type I

description: This study aimed to investigate the role played by microRNA (miR)-137 in intervertebral disc degeneration via targeting activin A receptor type I (ACVR1) and the underlying mechanism. Human nucleus pulposus cells were exposed to 10 ng/mL lipopolysaccharide (LPS) to establish an <i>in vitro</i> intervertebral disc degeneration model. ACVR1, extracellular matrix degradation-associated genes (aggrecan and collagen type II) and miR-137 levels were assessed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and Western blotting assays. The MTT (3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide) assay and flow cytometry were used to evaluate nucleus pulposus cell viability and apoptosis. Additionally, the association between miR-137 and ACVR1 was predicted and verified using bioinformatic software and dual-luciferase reporter assays. Furthermore, the secretion of inflammatory factors was analyzed via enzyme linked immunosorbent assay (ELISA). Our results confirmed that ACVR1 was upregulated in lipopolysaccharide-treated nucleus pulposus cells. Lipopolysaccharide suppressed cell viability, promoted apoptosis, enhanced the secretion of inflammatory factors, and reduced aggrecan and collagen type II expression. However, these results were reversed upon ACVR1 silencing. Our data revealed that ACVR1 directly targets miR-137 and is negatively regulated by miR-137 in nucleus pulposus cells. Additionally, the miR-137 mimic promoted cell growth, reduced cell apoptosis, reduced the secretion of inflammatory cytokines, and accelerated extracellular matrix accumulation in lipopolysaccharide-exposed nucleus pulposus cells. However, ACVR1 plasmid abolished the functions of the miR-137 mimic in lipopolysaccharide-exposed nucleus pulposus cells. Together, these findings indicate that miR-137 suppresses the inflammatory response and extracellular matrix degradation in lipopolysaccharide-treated nucleus pulposus cells by targeting ACVR1.
DOI: 10.6084/m9.figshare.16674744
title: Additional file 7 of Differences in mortality in critically ill elderly patients during the second COVID-19 surge in Europe

description: Additional file 7. All statistical details on this analysis with and without imputation for missing data for the overall survival probability analysis until day 90 are
DOI: 10.6084/m9.figshare.16674744.v1
title: Additional file 7 of Differences in mortality in critically ill elderly patients during the second COVID-19 surge in Europe

description: Additional file 7. All statistical details on this analysis with and without imputation for missing data for the overall survival probability analysis until day 90 are
DOI: 10.6084/m9.figshare.16674750
title: Additional file 9 of Differences in mortality in critically ill elderly patients during the second COVID-19 surge in Europe

description: Additional file 9. Subgroup analysis for different subgroups with a sensitivity analysis excluding the first four weeks of each surge
DOI: 10.6084/m9.figshare.16674750.v1
title: Additional file 9 of Differences in mortality in critically ill elderly patients during the second COVID-19 surge in Europe

description: Additional file 9. Subgroup analysis for different subgroups with a sensitivity analysis excluding the first four weeks of each surge
DOI: 10.6084/m9.figshare.25282216
title: Rugby hierarchical model on both team and field

description: A variant of the 'rugby' ArviZ example dataset. Like the 'rugby' dataset, it contains the result of fitting a Bayesian model using PyMC to results of the Six Nations Championship.The Six Nations Championship is a yearly rugby competition between Italy, Ireland, Scotland, England, France and Wales. Fifteen games are played each year, representing all combinations of the six teams. This example uses and includes results from 2014 - 2017, comprising 60 total games. It models latent parameters for each team's attack and defense, with each team having different values depending on them being home or away team.See https://github.com/arviz-devs/arviz_example_data/blob/main/code/rugby_field/rugby_field.ipynb for the whole model specification."<br>
DOI: 10.6084/m9.figshare.25282216.v1
title: Rugby hierarchical model on both team and field

description: A variant of the 'rugby' ArviZ example dataset. Like the 'rugby' dataset, it contains the result of fitting a Bayesian model using PyMC to results of the Six Nations Championship.The Six Nations Championship is a yearly rugby competition between Italy, Ireland, Scotland, England, France and Wales. Fifteen games are played each year, representing all combinations of the six teams. This example uses and includes results from 2014 - 2017, comprising 60 total games. It models latent parameters for each team's attack and defense, with each team having different values depending on them being home or away team.See https://github.com/arviz-devs/arviz_example_data/blob/main/code/rugby_field/rugby_field.ipynb for the whole model specification."<br>
DOI: 10.6084/m9.figshare.16674752.v1
title: Additional file 2 of Comparing learners’ knowledge, behaviors, and attitudes between two instructional modes of computer programming in secondary education

description: Additional file 2. Behavior data for the UPP mode.
DOI: 10.6084/m9.figshare.16674749
title: Additional file 1 of Comparing learners’ knowledge, behaviors, and attitudes between two instructional modes of computer programming in secondary education

description: Additional file 1. Behavior data for the IDL mode.
DOI: 10.6084/m9.figshare.16674749.v1
title: Additional file 1 of Comparing learners’ knowledge, behaviors, and attitudes between two instructional modes of computer programming in secondary education

description: Additional file 1. Behavior data for the IDL mode.
DOI: 10.6084/m9.figshare.16674752
title: Additional file 2 of Comparing learners’ knowledge, behaviors, and attitudes between two instructional modes of computer programming in secondary education

description: Additional file 2. Behavior data for the UPP mode.
DOI: 10.6084/m9.figshare.14053374
title: Additional file 1 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

description: Additional file 1. The datasets for the single tasks.
DOI: 10.6084/m9.figshare.14053377
title: Additional file 2 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

description: Additional file 2. The python source codes that implement the workflow.