cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4dqgj4
title: Occurrence Download

description: A dataset listing the 111 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "Geometry POLYGON((33.2035 46.80895,33.11268 46.7781,33.0283 46.74013,32.92387 46.75173,32.82156 46.69688,32.60954 46.66207,32.44921 46.66207,32.42811 46.603,32.26145 46.5914,32.24036 46.45955,32.38497 46.4366,32.6012 46.49567,32.64656 46.57267,32.7879 46.62963,32.84592 46.66444,33.17291 46.73089,33.2035 46.80895))",
 "HasCoordinate is true",
 "Month is one of (August, September, October, March)",
 "TaxonKey is Aves",
 "Year 1999-2024"
 ]
}

 The dataset's 111 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011634-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szheny
title: Occurrence Download

description: A dataset listing the 159 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ephedra Tourn. ex L."
 ]
}

 The dataset's 159 records were derived from 620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011632-240906103802322/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.26986585.v1
title: Additional file 2 of Proteomic analysis of sialoliths from calcified, lipid and mixed groups as a source of potential biomarkers of deposit formation in the salivary glands

description: Additional file 2. Statistical analysis of data obtained from the SWATH-MS analysis for the studied sialoliths. The table contains pool samples and each analyzed stone with values such as: t-test value and p-value, q-value, medians, fold change and log2 fold change, which were used to type statistically significant changes in protein levels.
DOI: 10.15468/dl.tvxqrt
title: Occurrence Download

description: A dataset containing 2730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus exasperata Vahl",
 "Continent is Africa"
 ]
}

 The dataset includes 2730 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011643-240906103802322/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.26986615
title: Additional file 1 of Comparative metabolomics of root-tips reveals distinct metabolic pathways conferring drought tolerance in contrasting genotypes of rice

description: Additional file 1: Table S1. Identification results of differently accumulated metabolites between two rice genotypes under drought. Table S2. List of significant metabolites (between normal and drought conditions) identified through ANOVA with their p-value in root tip IR64. Table S3. List of significant metabolites (between normal and drought conditions) identified through ANOVA with their p-value in root tip Azucena. Table S4. The KEGG pathways  of the altered metabolites exposure to drought stress in Azucena root samples. Table S5. The KEGG pathways of the altered metabolites exposure to drought stress in IR64  root samples. Table S6. List of primers with details of sequence and expression profile used for RT-qPCR validation.
DOI: 10.6084/m9.figshare.26986615.v1
title: Additional file 1 of Comparative metabolomics of root-tips reveals distinct metabolic pathways conferring drought tolerance in contrasting genotypes of rice

description: Additional file 1: Table S1. Identification results of differently accumulated metabolites between two rice genotypes under drought. Table S2. List of significant metabolites (between normal and drought conditions) identified through ANOVA with their p-value in root tip IR64. Table S3. List of significant metabolites (between normal and drought conditions) identified through ANOVA with their p-value in root tip Azucena. Table S4. The KEGG pathways  of the altered metabolites exposure to drought stress in Azucena root samples. Table S5. The KEGG pathways of the altered metabolites exposure to drought stress in IR64  root samples. Table S6. List of primers with details of sequence and expression profile used for RT-qPCR validation.
DOI: 10.15468/dl.zwnjz9
title: Occurrence Download

description: A dataset containing 1089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "Geometry POLYGON((0.48569 50.84011,1.45968 50.84011,1.45968 51.44763,0.48569 51.44763,0.48569 50.84011))",
 "Geometry POLYGON((0.47197 50.77152,1.45576 50.77152,1.45576 51.4829,0.47197 51.4829,0.47197 50.77152))"
 ]
 },
 "TaxonKey is Zootoca vivipara (Jacquin, 1787)"
 ]
}

 The dataset includes 1089 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011644-240906103802322/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.26986693.v1
title: Additional file 2 of Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

description: Additional file 2. The details of common differentially expressed genes (cDEGs) for the five GEO datasets (GSE110224, GSE50760, GSE35279, and GSE23878) including Gene.symbol, ID, adj.P.Val, P.Value, t, B, logFC, and Gene.title.
DOI: 10.6084/m9.figshare.26986699
title: Additional file 4 of Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

description: Additional file 4. Correlation between key genes (KGs) and immune infiltration levels in colorectal cancers (CRC).
DOI: 10.6084/m9.figshare.26986693
title: Additional file 2 of Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

description: Additional file 2. The details of common differentially expressed genes (cDEGs) for the five GEO datasets (GSE110224, GSE50760, GSE35279, and GSE23878) including Gene.symbol, ID, adj.P.Val, P.Value, t, B, logFC, and Gene.title.
DOI: 10.6084/m9.figshare.26986699.v1
title: Additional file 4 of Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

description: Additional file 4. Correlation between key genes (KGs) and immune infiltration levels in colorectal cancers (CRC).
DOI: 10.15468/dl.x5btas
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus fischeri Warb. ex Mildbr. & Burret",
 "Continent is Africa"
 ]
}

 The dataset includes 56 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011646-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5pzmb
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Geometry POLYGON((0.49755 50.78396,1.46536 50.78396,1.46536 51.49149,0.49755 51.49149,0.49755 50.78396))",
 "TaxonKey is Triturus cristatus (Laurenti, 1768)"
 ]
}

 The dataset includes 2086 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011645-240906103802322/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.26986714.v1
title: Additional file 5 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 5: Table S4. Kernel related network predicted by GRN.
DOI: 10.6084/m9.figshare.26986747
title: Additional file 16 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 16. Predicted sub-GRN likely occurred in leaf.
DOI: 10.6084/m9.figshare.26986750
title: Additional file 17 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 17. Predicted sub-GRN likely occurred in root.
DOI: 10.6084/m9.figshare.26986705
title: Additional file 2 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 2: Table S1. All samples used in this study.
DOI: 10.6084/m9.figshare.26986705.v1
title: Additional file 2 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 2: Table S1. All samples used in this study.
DOI: 10.6084/m9.figshare.26986708
title: Additional file 3 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 3: Table S2. Overlap between GRNs and CHIP-seq for single TF.
DOI: 10.6084/m9.figshare.26986711
title: Additional file 4 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 4: Table S3. Motif enrichment for top 100 targets of 11 TFs.
DOI: 10.6084/m9.figshare.26986714
title: Additional file 5 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 5: Table S4. Kernel related network predicted by GRN.
DOI: 10.6084/m9.figshare.26986711.v1
title: Additional file 4 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 4: Table S3. Motif enrichment for top 100 targets of 11 TFs.
DOI: 10.6084/m9.figshare.26986717
title: Additional file 6 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 6: Table S5. GRN network can be supported by CHIP-seq.
DOI: 10.6084/m9.figshare.26986717.v1
title: Additional file 6 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 6: Table S5. GRN network can be supported by CHIP-seq.
DOI: 10.6084/m9.figshare.26986720
title: Additional file 7 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 7: Table S6. DEGs between grf6 mutant and its WT.
DOI: 10.6084/m9.figshare.26986720.v1
title: Additional file 7 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 7: Table S6. DEGs between grf6 mutant and its WT.
DOI: 10.6084/m9.figshare.26986723
title: Additional file 8 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 8: Table S7. A sub-GRN for MYB related TFs.
DOI: 10.6084/m9.figshare.26986723.v1
title: Additional file 8 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 8: Table S7. A sub-GRN for MYB related TFs.
DOI: 10.6084/m9.figshare.26986726
title: Additional file 9 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 9: Table S8. DEGs between myb31 mutant and its WT.
DOI: 10.6084/m9.figshare.26986726.v1
title: Additional file 9 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 9: Table S8. DEGs between myb31 mutant and its WT.
DOI: 10.6084/m9.figshare.26986729
title: Additional file 10 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 10: Table S9. Target genes of MYB31 identified by CUT&Tag.
DOI: 10.6084/m9.figshare.26986729.v1
title: Additional file 10 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 10: Table S9. Target genes of MYB31 identified by CUT&Tag.
DOI: 10.6084/m9.figshare.26986732
title: Additional file 11 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 11: Table S10. Primer information used in the qRT-PCR.
DOI: 10.6084/m9.figshare.26986735
title: Additional file 12 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 12: Table S11. Accessions for the data sets used in this study.
DOI: 10.6084/m9.figshare.26986735.v1
title: Additional file 12 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 12: Table S11. Accessions for the data sets used in this study.
DOI: 10.6084/m9.figshare.26986738
title: Additional file 13 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 13. Merged regulatory pairs predicted by Union GRN.
DOI: 10.6084/m9.figshare.26986741
title: Additional file 14 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 14. Predicted regulatory pairs of high-confidence GRN.
DOI: 10.15468/dl.sayku8
title: Occurrence Download

description: A dataset containing 2870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((51.11681 44.36518,115.82892 44.36518,115.82892 70.22629,51.11681 70.22629,51.11681 44.36518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bunias orientalis L."
 ]
}

 The dataset includes 2870 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011647-240906103802322/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.26986741.v1
title: Additional file 14 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 14. Predicted regulatory pairs of high-confidence GRN.
DOI: 10.6084/m9.figshare.26986744
title: Additional file 15 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 15. Predicted sub-GRN likely occurred in endosperm.
DOI: 10.6084/m9.figshare.26986747.v1
title: Additional file 16 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 16. Predicted sub-GRN likely occurred in leaf.
DOI: 10.6084/m9.figshare.26986750.v1
title: Additional file 17 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 17. Predicted sub-GRN likely occurred in root.
DOI: 10.6084/m9.figshare.26986753
title: Additional file 18 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 18. Predicted sub-GRN likely occurred in SAM-embryo.
DOI: 10.6084/m9.figshare.26986753.v1
title: Additional file 18 of A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

description: Additional file 18. Predicted sub-GRN likely occurred in SAM-embryo.
DOI: 10.6084/m9.figshare.26986780
title: Additional file 4 of Behavioral phenotype, intestinal microbiome, and brain neuronal activity of male serotonin transporter knockout mice

description: Additional file 4: Table S1. A battery of behavioral tests in 5-HTT-deficient and wild-type mice. Table S2. Statistical analysis of behavioral data of 5-HTT-deficient and wild-type mice. Table S3. Relative abundance of intestinal microbiota at the phylum level in 5-HTT−/− and 5-HTT+/+ mice. Table S4. Relative abundance of intestinal microbiota at the genus level in 5-HTT−/− and 5-HTT+/+ mice. Table S5. Number of c-Fos-positive cells in the brain in 5-HTT−/− and 5-HTT+/+ mice. Table S6. Behavioral study of 5-HTT-deficient animals
DOI: 10.6084/m9.figshare.26986780.v1
title: Additional file 4 of Behavioral phenotype, intestinal microbiome, and brain neuronal activity of male serotonin transporter knockout mice

description: Additional file 4: Table S1. A battery of behavioral tests in 5-HTT-deficient and wild-type mice. Table S2. Statistical analysis of behavioral data of 5-HTT-deficient and wild-type mice. Table S3. Relative abundance of intestinal microbiota at the phylum level in 5-HTT−/− and 5-HTT+/+ mice. Table S4. Relative abundance of intestinal microbiota at the genus level in 5-HTT−/− and 5-HTT+/+ mice. Table S5. Number of c-Fos-positive cells in the brain in 5-HTT−/− and 5-HTT+/+ mice. Table S6. Behavioral study of 5-HTT-deficient animals
DOI: 10.6084/m9.figshare.26986786
title: Additional file 2 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 2. Table 1. Study characteristics of the published studies analyzed.
DOI: 10.6084/m9.figshare.26986786.v1
title: Additional file 2 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 2. Table 1. Study characteristics of the published studies analyzed.
DOI: 10.15468/dl.bkhp45
title: Occurrence Download

description: A dataset containing 2729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus glumosa Delile",
 "Continent is Africa"
 ]
}

 The dataset includes 2729 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011648-240906103802322/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.26986789
title: Additional file 3 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 3. Table 2. Database of CpG sites reported to be associated with development and progression of cardiovascular disease.
DOI: 10.6084/m9.figshare.26986789.v1
title: Additional file 3 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 3. Table 2. Database of CpG sites reported to be associated with development and progression of cardiovascular disease.
DOI: 10.6084/m9.figshare.26986792
title: Additional file 4 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 4. Detailed search query for the systematic review.
DOI: 10.6084/m9.figshare.26986792.v1
title: Additional file 4 of DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites

description: Additional file 4. Detailed search query for the systematic review.
DOI: 10.5281/zenodo.5883687
title: (10)-Strobl2022A-DS0009 – Ceratitis capitata TREhs43-hid^Ala5_F1m2 long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

description: (10)-Strobl2022A-DS0009 – Ceratitis capitata TREhs43-hidAla5_F1m2 long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
DOI: 10.5281/zenodo.5883688
title: (Strobl2022A-DS0009) Ceratitis capitata TREhs43-hid^Ala5_F1m2 live imaging data acquired with LSFM

description: (Strobl2022A-DS0001) <em>Ceratitis capitata</em> TREhs43-hid<sup>Ala5</sup>_F1m2 live imaging data acquired with light sheet fluorescence microscopy
DOI: 10.5281/zenodo.6457894
title: (10)-Strobl2022A-DS0009 – Ceratitis capitata TREhs43-hid^Ala5_F1m2 long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

description: (10)-Strobl2022A-DS0009 – Ceratitis capitata TREhs43-hidAla5_F1m2 long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
DOI: 10.6084/m9.figshare.26986894
title: Additional file 3 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 3. CEE critical appraisal tool sheet.
DOI: 10.6084/m9.figshare.26986894.v1
title: Additional file 3 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 3. CEE critical appraisal tool sheet.
DOI: 10.6084/m9.figshare.26986888
title: Additional file 1 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 1. ROSES checklist.
DOI: 10.6084/m9.figshare.26986900
title: Additional file 5 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 5. Customised data collection sheet.
DOI: 10.6084/m9.figshare.26986897.v1
title: Additional file 4 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 4. Exclusion list (reasons for exclusions).
DOI: 10.6084/m9.figshare.26986906
title: Additional file 7 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 7. Definition of equation functions.
DOI: 10.6084/m9.figshare.26986900.v1
title: Additional file 5 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 5. Customised data collection sheet.
DOI: 10.6084/m9.figshare.26986912
title: Additional file 9 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 9. Data extraction results.
DOI: 10.6084/m9.figshare.26986912.v1
title: Additional file 9 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review

description: Additional file 9. Data extraction results.