cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qwm8we
title: Occurrence Download

description: A dataset containing 199456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World",
 "OccurrenceStatus is Present",
 "TaxonKey is Apus apus (Linnaeus, 1758)"
 ]
}

 The dataset includes 199456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019462-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4jmdt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scylla serrata (Forskål, 1775)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019467-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzpt43
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duttaphrynus melanostictus (Schneider, 1799))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Indonesia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 164 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067654-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbdw3n
title: Occurrence Download

description: A dataset containing 1294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.29_1",
 "TaxonKey is Pseudopodoces humilis (Hume, 1871)"
 ]
}

 The dataset includes 1294 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067655-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7jm9x
title: Occurrence Download

description: A dataset containing 2706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedionomus torquatus Gould, 1840"
 ]
}

 The dataset includes 2706 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067656-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26694192
title: Additional file 1 of Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

description: Additional file 1: Table S1. Primers for RT-qPCR. Table S2. The expression matrix of cuproptosis and disulfidptosis-related genes (CDRGs). Table S3. The expression matrix of cuproptosis and disulfidptosis-related lncRNAs (CDRLRs). Table S4. The risk scores for all samples based on four key CDRLRs. Table S5. DEGs between high- and low-risk groups. Table S6. Detailed information of GO analysis for high- and low-risk groups. Table S7. Detailed information of GSEA analysis for high- and low-risk groups. Table S8. The proportion of immune cells in all samples according to CIBERSORT algorithm. Table S9. Immune function score of all samples.
DOI: 10.6084/m9.figshare.26694192.v1
title: Additional file 1 of Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

description: Additional file 1: Table S1. Primers for RT-qPCR. Table S2. The expression matrix of cuproptosis and disulfidptosis-related genes (CDRGs). Table S3. The expression matrix of cuproptosis and disulfidptosis-related lncRNAs (CDRLRs). Table S4. The risk scores for all samples based on four key CDRLRs. Table S5. DEGs between high- and low-risk groups. Table S6. Detailed information of GO analysis for high- and low-risk groups. Table S7. Detailed information of GSEA analysis for high- and low-risk groups. Table S8. The proportion of immune cells in all samples according to CIBERSORT algorithm. Table S9. Immune function score of all samples.
DOI: 10.6084/m9.figshare.26612606.v1
title: Additional file 2 of Peripheral immune landscape for hypercytokinemia in myasthenic crisis utilizing single-cell transcriptomics

description: Additional file 2: Table S1. Demographic characteristics of studied Myasthenic crisis (MC) patients. Table S2. Hemogram results of 22 AChR+ MC patients during MC and three months after MC. Table S3. Single cell counts in the samples (cellranger results). Table S4. Cell markers used in this study for PBMCs classification. Table S5. Enrichment of Pathways in DEG genes (MC vs. After MC) across all PBMCs. Table S6. Enrichment of Pathways in DEG genes (MC vs. After MC) across all monocytes. Table S7. Enrichment of Pathways in DEG genes between monocytes 3 and other monocytes. Table S8. Enrichment of Pathways in DEG genes (MC vs. After MC) across monocytes 3. Table S9. Enrichment of Pathways in DEG genes (MC vs. After MC) across all B cells. Table S10. Enrichment of Pathways in DEG genes (MC vs. After MC) across all T cells. Table S11. Enrichment of Pathways in DEG genes (MC vs. After MC) across all NK cells.
DOI: 10.15468/dl.52w7py
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.679422 -32.802672, 148.679422 -32.804918, 148.67493 -32.804918, 148.67493 -32.807164, 148.681668 -32.807164, 148.681668 -32.804918, 148.683914 -32.804918, 148.683914 -32.802672, 148.679422 -32.802672)), ((148.683914 -32.804918, 148.683914 -32.811655, 148.690651 -32.811655, 148.690651 -32.807164, 148.688405 -32.807164, 148.688405 -32.804918, 148.683914 -32.804918)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067657-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26694195
title: Additional file 1 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 1. ROSES systematic review checklist. ROSES form for systematic review version 1.0.
DOI: 10.6084/m9.figshare.26694195.v1
title: Additional file 1 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 1. ROSES systematic review checklist. ROSES form for systematic review version 1.0.
DOI: 10.6084/m9.figshare.26612606
title: Additional file 2 of Peripheral immune landscape for hypercytokinemia in myasthenic crisis utilizing single-cell transcriptomics

description: Additional file 2: Table S1. Demographic characteristics of studied Myasthenic crisis (MC) patients. Table S2. Hemogram results of 22 AChR+ MC patients during MC and three months after MC. Table S3. Single cell counts in the samples (cellranger results). Table S4. Cell markers used in this study for PBMCs classification. Table S5. Enrichment of Pathways in DEG genes (MC vs. After MC) across all PBMCs. Table S6. Enrichment of Pathways in DEG genes (MC vs. After MC) across all monocytes. Table S7. Enrichment of Pathways in DEG genes between monocytes 3 and other monocytes. Table S8. Enrichment of Pathways in DEG genes (MC vs. After MC) across monocytes 3. Table S9. Enrichment of Pathways in DEG genes (MC vs. After MC) across all B cells. Table S10. Enrichment of Pathways in DEG genes (MC vs. After MC) across all T cells. Table S11. Enrichment of Pathways in DEG genes (MC vs. After MC) across all NK cells.
DOI: 10.6084/m9.figshare.26694207
title: Additional file 5 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 5. List of articles at different stages of the review process. A. List of articles excluded at full-text screening with their reasons for exclusion. B. Articles retained after full-text screening. C. Studies included in the review with study validity assessment. D. Studies included in the review with coded metadata.
DOI: 10.6084/m9.figshare.26694207.v1
title: Additional file 5 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 5. List of articles at different stages of the review process. A. List of articles excluded at full-text screening with their reasons for exclusion. B. Articles retained after full-text screening. C. Studies included in the review with study validity assessment. D. Studies included in the review with coded metadata.
DOI: 10.6084/m9.figshare.26694216
title: Additional file 8 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 8. Meta-analyses database. Table of all the variables extracted for computing effect sizes and analyzing reasons for heterogeneity in effect sizes, as well as value and variance of the effect sizes computed.
DOI: 10.6084/m9.figshare.26694216.v1
title: Additional file 8 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 8. Meta-analyses database. Table of all the variables extracted for computing effect sizes and analyzing reasons for heterogeneity in effect sizes, as well as value and variance of the effect sizes computed.
DOI: 10.6084/m9.figshare.26694222
title: Additional file 10 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 10. List of excluded without-abstract articles. List of the articles that were excluded because they did not have an abstract.
DOI: 10.6084/m9.figshare.26694222.v1
title: Additional file 10 of Can linear transportation infrastructure verges constitute a habitat and/or a corridor for vascular plants in temperate ecosystems? A systematic review

description: Additional file 10. List of excluded without-abstract articles. List of the articles that were excluded because they did not have an abstract.
DOI: 10.6084/m9.figshare.26694237
title: Additional file 1 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 1: Roses systematic map protocol.xls
DOI: 10.6084/m9.figshare.26694237.v1
title: Additional file 1 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 1: Roses systematic map protocol.xls
DOI: 10.6084/m9.figshare.26694240
title: Additional file 2 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 2: Benchmark studies_Birds and Mammals_Search String_revised.xlsx
DOI: 10.6084/m9.figshare.26694240.v1
title: Additional file 2 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 2: Benchmark studies_Birds and Mammals_Search String_revised.xlsx
DOI: 10.6084/m9.figshare.26694243
title: Additional file 3 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 3: Literature Eligibility Pilot_Consolidated.xlsx
DOI: 10.6084/m9.figshare.26694243.v1
title: Additional file 3 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 3: Literature Eligibility Pilot_Consolidated.xlsx
DOI: 10.6084/m9.figshare.26694246
title: Additional file 4 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 4: Pilot_Data Coding Strategy_Data Extraction.xlsx
DOI: 10.6084/m9.figshare.26694246.v1
title: Additional file 4 of What evidence exists on birds and mammals' biodiversity in the Brazilian Atlantic Forest (BAF) agricultural ecosystems? A systematic map protocol

description: Additional file 4: Pilot_Data Coding Strategy_Data Extraction.xlsx
DOI: 10.6084/m9.figshare.26694255
title: Additional file 1 of Global abundance patterns, diversity, and ecology of Patescibacteria in wastewater treatment plants

description: Additional file 1: Supplementary Figure 1. Heatmap of phylum-level abundance grouped by plant type. Supplementary Figure 2. Non-patescibacterial ASV richness comparison between the original and the modified primer pair. Supplementary Figure 3. Phylum level richness comparison between the original and the modified primer pair. Supplementary Figure 4. Prevalence of novel patescibacterial and non-patescibacterial ASVs. Supplementary Figure 5. Taxonomic affiliation of unclassified ASVs. Supplementary Figure 6. Richness and abundance of Patescibacteria in samples of different WWTP types. Supplementary Figure 7. Overlap of edges supported in networks inferred by SparCC, CoNet and SPIEC-EASI. Supplementary Figure 8. ASV level co-occurrence network reveals potential host-association of Patescibacteria. Supplementary Figure 9. Primer binding region of Patescibacteria 16S rRNA gene.
DOI: 10.6084/m9.figshare.26694255.v1
title: Additional file 1 of Global abundance patterns, diversity, and ecology of Patescibacteria in wastewater treatment plants

description: Additional file 1: Supplementary Figure 1. Heatmap of phylum-level abundance grouped by plant type. Supplementary Figure 2. Non-patescibacterial ASV richness comparison between the original and the modified primer pair. Supplementary Figure 3. Phylum level richness comparison between the original and the modified primer pair. Supplementary Figure 4. Prevalence of novel patescibacterial and non-patescibacterial ASVs. Supplementary Figure 5. Taxonomic affiliation of unclassified ASVs. Supplementary Figure 6. Richness and abundance of Patescibacteria in samples of different WWTP types. Supplementary Figure 7. Overlap of edges supported in networks inferred by SparCC, CoNet and SPIEC-EASI. Supplementary Figure 8. ASV level co-occurrence network reveals potential host-association of Patescibacteria. Supplementary Figure 9. Primer binding region of Patescibacteria 16S rRNA gene.
DOI: 10.6084/m9.figshare.26573722.v1
title: Additional file 4 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 4: CpG_OB_AP_MSC. Methylation status (M-values) of CPGs differently methylated across the MSC differentiation to osteoblast and adipocyte.
DOI: 10.6084/m9.figshare.26573713.v1
title: Additional file 1 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 1: REINS NCL 2020. Script, Regulatory Element Interrogation Script (REINS), available as an R Markdown document, to explore the relationship between the distribution of differentially methylated CpGs and TF-binding and thus activity during the differentiation process.
DOI: 10.6084/m9.figshare.26573725
title: Additional file 5 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 5: RNA array. Differently expressed genes between stem cells differentiated (21 days) or not to osteoblast.
DOI: 10.6084/m9.figshare.26573713
title: Additional file 1 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 1: REINS NCL 2020. Script, Regulatory Element Interrogation Script (REINS), available as an R Markdown document, to explore the relationship between the distribution of differentially methylated CpGs and TF-binding and thus activity during the differentiation process.
DOI: 10.6084/m9.figshare.26573719
title: Additional file 3 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 3: CPG list and overlapping genes. List of differently methylated CPGs associated to osteoblast differentiation and their overlapping genes.
DOI: 10.6084/m9.figshare.26573722
title: Additional file 4 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 4: CpG_OB_AP_MSC. Methylation status (M-values) of CPGs differently methylated across the MSC differentiation to osteoblast and adipocyte.
DOI: 10.6084/m9.figshare.26573725.v1
title: Additional file 5 of DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

description: Additional file 5: RNA array. Differently expressed genes between stem cells differentiated (21 days) or not to osteoblast.
DOI: 10.15468/dl.j7yd33
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.147168 -32.807164, 148.147168 -32.813901, 148.158397 -32.813901, 148.158397 -32.807164, 148.147168 -32.807164))"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067659-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26694312
title: Additional file 1 of The prevalence of sarcopenia in spondyloarthritis patients: a meta-analysis

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26694312.v1
title: Additional file 1 of The prevalence of sarcopenia in spondyloarthritis patients: a meta-analysis

description: Supplementary Material 1.
DOI: 10.15468/dl.expzhc
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 19456090-b49a-11d8-abeb-b8a03c50a862",
 "TaxonKey is one of (Apodemus ilex Thomas, 1922, Rattus satarae Hinton, 1918, Lemniscomys roseveari Van der Straeten, 1980, Meriones arimalius Cheesman & Hinton, 1924, Gerbillus watersi de Winton, 1901, Gerbillus principulus (Thomas & Hinton, 1923), Gerbillus rosalinda St.Leger, 1929, Gerbillus harwoodi Thomas, 1901, Gerbillus brockmani (Thomas, 1910), Gerbillus acticola Thomas, 1918, Otomys cheesmani Taylor, Lavrenchenko, Carleton, Verheyen, Bennett, Oosthuizen & Maree, 2011, Millardia kondana Mishra & Dhanda, 1975, Cremnomys elvira (Ellerman, 1947), Chiropodomys pusillus Thomas, 1893, Grammomys kuru (Thomas & Wroughton, 1907), Grammomys brevirostris Kryštufek, 2008, Grammomys aridulus Thomas & Hinton, 1923, Desmomys yaldeni Lavrenchenko, 2003, Dasymys medius Thomas, 1906, Dasymys cabrali W.Verheyen, Hulselmans, Dierckx, Colyn, Leirs & E.Verheyen, 2003)"
 ]
}

 The dataset includes 217 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067661-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26694318
title: Additional file 1 of Maximizing efficiency in sunflower breeding through historical data optimization

description: Additional file 1. Predictive ability of the gradient boosting machine model across all scenarios and repetitions for the training set (TRS) optimization methods tested using fixed values of the TRS size. The following columns are included: Method: TRS optimization method used; TRS_size: size of the TRS expressed as percentage of the candidate set size; Trait: phenotypic trait; Method_iter: iteration number for the optimization method; Model_iter: iteration number for the genomic selection model; Predictive_ability: correlation of predictions in test set and the empirical genotypic values; TS: year of the field trials used as test set; CS: years of the field trials used as candidate set (1 = one year prior to test set year, 2 = two years prior to test set year, etc.).
DOI: 10.6084/m9.figshare.26694318.v1
title: Additional file 1 of Maximizing efficiency in sunflower breeding through historical data optimization

description: Additional file 1. Predictive ability of the gradient boosting machine model across all scenarios and repetitions for the training set (TRS) optimization methods tested using fixed values of the TRS size. The following columns are included: Method: TRS optimization method used; TRS_size: size of the TRS expressed as percentage of the candidate set size; Trait: phenotypic trait; Method_iter: iteration number for the optimization method; Model_iter: iteration number for the genomic selection model; Predictive_ability: correlation of predictions in test set and the empirical genotypic values; TS: year of the field trials used as test set; CS: years of the field trials used as candidate set (1 = one year prior to test set year, 2 = two years prior to test set year, etc.).
DOI: 10.6084/m9.figshare.26694321
title: Additional file 2 of Maximizing efficiency in sunflower breeding through historical data optimization

description: Additional file 2. Predictive ability of the gradient boosting machine model across all scenarios and repetitions for simultaneous optimization of training set (TRS) size and composition. The same columns as in Additional file 1 were used with the exception of "Method_size_optimization" (optimization method used to find optimal TRS size) and "Method_composition_optimization" (optimization method used to find optimal TRS composition).
DOI: 10.15468/dl.bazbty
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.93325 73.89120,25.46498 73.89120,25.46498 81.70046,5.93325 81.70046,5.93325 73.89120))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Delphinapterus leucas (Pallas, 1776)"
 ]
}

 The dataset includes 509 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016652-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.