cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7901342.v1
title: gVCF_HG01806

description: 1000 Genomes gVCF mapped to hs37d5 for HG01806. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901327
title: Supplementary Table 2 from Morphological evolution in therocephalians breaks the hypercarnivore ratchet

description: Results of discrete character model fitting analyses
DOI: 10.6084/m9.figshare.7901333
title: gVCF_HG01805

description: 1000 Genomes gVCF mapped to hs37d5 for HG01805. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901345.v1
title: gVCF_HG03455

description: 1000 Genomes gVCF mapped to hs37d5 for HG03455. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901321
title: Supplemental Table 1. from Evidence of a tunable biological spring: elastic energy storage in aponeuroses varies with transverse strain <i>in vivo</i>

description: Data on elastic energy storage, stiffness, aponeurosis and fiber length strains when aponeurosis either decreased or increased in width.
DOI: 10.6084/m9.figshare.7901324
title: Supplementary Data 1 from Morphological evolution in therocephalians breaks the hypercarnivore ratchet

description: Nexus file of the data matrix used in the FBD analysis
DOI: 10.6084/m9.figshare.7901321.v1
title: Supplemental Table 1. from Evidence of a tunable biological spring: elastic energy storage in aponeuroses varies with transverse strain <i>in vivo</i>

description: Data on elastic energy storage, stiffness, aponeurosis and fiber length strains when aponeurosis either decreased or increased in width.
DOI: 10.6084/m9.figshare.7901324.v1
title: Supplementary Data 1 from Morphological evolution in therocephalians breaks the hypercarnivore ratchet

description: Nexus file of the data matrix used in the FBD analysis
DOI: 10.6084/m9.figshare.7901327.v1
title: Supplementary Table 2 from Morphological evolution in therocephalians breaks the hypercarnivore ratchet

description: Results of discrete character model fitting analyses
DOI: 10.6084/m9.figshare.7901333.v1
title: gVCF_HG01805

description: 1000 Genomes gVCF mapped to hs37d5 for HG01805. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901315
title: gVCF_HG01804

description: 1000 Genomes gVCF mapped to hs37d5 for HG01804. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901303
title: gVCF_HG01802

description: 1000 Genomes gVCF mapped to hs37d5 for HG01802. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901312
title: gVCF_HG03451

description: 1000 Genomes gVCF mapped to hs37d5 for HG03451. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901315.v1
title: gVCF_HG01804

description: 1000 Genomes gVCF mapped to hs37d5 for HG01804. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901300
title: gVCF_HG03449

description: 1000 Genomes gVCF mapped to hs37d5 for HG03449. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901303.v1
title: gVCF_HG01802

description: 1000 Genomes gVCF mapped to hs37d5 for HG01802. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901312.v1
title: gVCF_HG03451

description: 1000 Genomes gVCF mapped to hs37d5 for HG03451. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901294
title: gVCF_HG01801

description: 1000 Genomes gVCF mapped to hs37d5 for HG01801. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901300.v1
title: gVCF_HG03449

description: 1000 Genomes gVCF mapped to hs37d5 for HG03449. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901288
title: gVCF_HG03446

description: 1000 Genomes gVCF mapped to hs37d5 for HG03446. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901276
title: gVCF_HG01800

description: 1000 Genomes gVCF mapped to hs37d5 for HG01800. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901258
title: Case data for fast characterization and expansion strategy

description: Case data for fast characterization and expansion strategy. Only IEEE 118-bus test system is provided while the 661-bus test system is not included due to the privacy.
DOI: 10.6084/m9.figshare.7901261
title: gVCF_HG01799

description: 1000 Genomes gVCF mapped to hs37d5 for HG01799. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901264
title: gVCF_HG03445

description: 1000 Genomes gVCF mapped to hs37d5 for HG03445. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901288.v1
title: gVCF_HG03446

description: 1000 Genomes gVCF mapped to hs37d5 for HG03446. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901261.v1
title: gVCF_HG01799

description: 1000 Genomes gVCF mapped to hs37d5 for HG01799. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901276.v1
title: gVCF_HG01800

description: 1000 Genomes gVCF mapped to hs37d5 for HG01800. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901243
title: gVCF_HG03442

description: 1000 Genomes gVCF mapped to hs37d5 for HG03442. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901255
title: gVCF_HG01798

description: 1000 Genomes gVCF mapped to hs37d5 for HG01798. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901264.v1
title: gVCF_HG03445

description: 1000 Genomes gVCF mapped to hs37d5 for HG03445. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901240
title: gVCF_HG01797

description: 1000 Genomes gVCF mapped to hs37d5 for HG01797. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901255.v1
title: gVCF_HG01798

description: 1000 Genomes gVCF mapped to hs37d5 for HG01798. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901231
title: gVCF_HG01796

description: 1000 Genomes gVCF mapped to hs37d5 for HG01796. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901234
title: gVCF_HG03439

description: 1000 Genomes gVCF mapped to hs37d5 for HG03439. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901240.v1
title: gVCF_HG01797

description: 1000 Genomes gVCF mapped to hs37d5 for HG01797. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901243.v1
title: gVCF_HG03442

description: 1000 Genomes gVCF mapped to hs37d5 for HG03442. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901222
title: gVCF_HG01795

description: 1000 Genomes gVCF mapped to hs37d5 for HG01795. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901231.v1
title: gVCF_HG01796

description: 1000 Genomes gVCF mapped to hs37d5 for HG01796. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901219
title: gVCF_HG03437

description: 1000 Genomes gVCF mapped to hs37d5 for HG03437. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901216
title: gVCF_HG01794

description: 1000 Genomes gVCF mapped to hs37d5 for HG01794. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901219.v1
title: gVCF_HG03437

description: 1000 Genomes gVCF mapped to hs37d5 for HG03437. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901222.v1
title: gVCF_HG01795

description: 1000 Genomes gVCF mapped to hs37d5 for HG01795. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901210
title: gVCF_HG03436

description: 1000 Genomes gVCF mapped to hs37d5 for HG03436. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901216.v1
title: gVCF_HG01794

description: 1000 Genomes gVCF mapped to hs37d5 for HG01794. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901207
title: gVCF_HG01791

description: 1000 Genomes gVCF mapped to hs37d5 for HG01791. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901201
title: gVCF_HG03433

description: 1000 Genomes gVCF mapped to hs37d5 for HG03433. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901207.v1
title: gVCF_HG01791

description: 1000 Genomes gVCF mapped to hs37d5 for HG01791. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901210.v1
title: gVCF_HG03436

description: 1000 Genomes gVCF mapped to hs37d5 for HG03436. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901201.v1
title: gVCF_HG03433

description: 1000 Genomes gVCF mapped to hs37d5 for HG03433. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901195
title: gVCF_HG01790

description: 1000 Genomes gVCF mapped to hs37d5 for HG01790. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901183
title: Colonoscopy_dataset_entry_format(161203)_peerJ.xlsx

description: Clinical records of patient colonoscopy results
DOI: 10.6084/m9.figshare.7901189
title: gVCF_HG01789

description: 1000 Genomes gVCF mapped to hs37d5 for HG01789. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901192
title: gVCF_HG03432

description: 1000 Genomes gVCF mapped to hs37d5 for HG03432. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901195.v1
title: gVCF_HG01790

description: 1000 Genomes gVCF mapped to hs37d5 for HG01790. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901177
title: gVCF_HG03428

description: 1000 Genomes gVCF mapped to hs37d5 for HG03428. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901180
title: gVCF_HG01786

description: 1000 Genomes gVCF mapped to hs37d5 for HG01786. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901189.v1
title: gVCF_HG01789

description: 1000 Genomes gVCF mapped to hs37d5 for HG01789. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901192.v1
title: gVCF_HG03432

description: 1000 Genomes gVCF mapped to hs37d5 for HG03432. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901165
title: gVCF_HG01784

description: 1000 Genomes gVCF mapped to hs37d5 for HG01784. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901168
title: gVCF_HG03419

description: 1000 Genomes gVCF mapped to hs37d5 for HG03419. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901171
title: gVCF_HG01785

description: 1000 Genomes gVCF mapped to hs37d5 for HG01785. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901171.v1
title: gVCF_HG01785

description: 1000 Genomes gVCF mapped to hs37d5 for HG01785. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901180.v1
title: gVCF_HG01786

description: 1000 Genomes gVCF mapped to hs37d5 for HG01786. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901162
title: gVCF_HG03410

description: 1000 Genomes gVCF mapped to hs37d5 for HG03410. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901177.v1
title: gVCF_HG03428

description: 1000 Genomes gVCF mapped to hs37d5 for HG03428. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7901168.v1
title: gVCF_HG03419

description: 1000 Genomes gVCF mapped to hs37d5 for HG03419. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.18462/iir.rankine.2020.1105
title: Predicting and assessing energy performance of refrigeration systems.
DOI: 10.6084/m9.figshare.7901090
title: Additional file 9: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: CLEAN cluster results using drug module genes and Hallmark gene sets. We provide an additional table with the significant associations between gene clusters and hallmark gene sets. Compressed folder (ZIP). The file can be found at https://figshare.com/s/932dd94520d4a60f076d (ZIP 3220 kb)
DOI: 10.6084/m9.figshare.7901081
title: Additional file 8: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: We have chosen 21 features from network-based measures and other functional data: (i) General features (columns 2–9). They illustrate basic and general features derived from the omics panel. We provide, for instance, the number of genes in each module, the average correlation among module genes and a measure of how “unique” are those genes with respect to other modules. Besides, we annotate drug classes and the AUROC predictions in both the GDSC and CTRP panels. (ii) Network features (columns 10–12). These include distances between module genes and drug targets, “connectivity” within module genes (i.e., distance between them), and proximity to genes from other modules. (iii) Biological features (columns 12–21). A series of biological features related to drug biology. We give most of them as simple proportions of genes/proteins. Among others, we provide the cellular compartmentalization of the genes, transcription factor specificity and the proportion of disease-related and “druggable” genes inside the module. Annotated drug targets are listed as well. (XLSX 156 kb)
DOI: 10.6084/m9.figshare.7901090.v1
title: Additional file 9: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: CLEAN cluster results using drug module genes and Hallmark gene sets. We provide an additional table with the significant associations between gene clusters and hallmark gene sets. Compressed folder (ZIP). The file can be found at https://figshare.com/s/932dd94520d4a60f076d (ZIP 3220 kb)
DOI: 10.6084/m9.figshare.7901081.v1
title: Additional file 8: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: We have chosen 21 features from network-based measures and other functional data: (i) General features (columns 2–9). They illustrate basic and general features derived from the omics panel. We provide, for instance, the number of genes in each module, the average correlation among module genes and a measure of how “unique” are those genes with respect to other modules. Besides, we annotate drug classes and the AUROC predictions in both the GDSC and CTRP panels. (ii) Network features (columns 10–12). These include distances between module genes and drug targets, “connectivity” within module genes (i.e., distance between them), and proximity to genes from other modules. (iii) Biological features (columns 12–21). A series of biological features related to drug biology. We give most of them as simple proportions of genes/proteins. Among others, we provide the cellular compartmentalization of the genes, transcription factor specificity and the proportion of disease-related and “druggable” genes inside the module. Annotated drug targets are listed as well. (XLSX 156 kb)
DOI: 10.6084/m9.figshare.7901075
title: Additional file 7: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Cancer driver and drug module associations (OR &gt; 2, p value
DOI: 10.6084/m9.figshare.7901066
title: Additional file 6: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Enriched (p value
DOI: 10.6084/m9.figshare.7901075.v1
title: Additional file 7: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Cancer driver and drug module associations (OR &gt; 2, p value
DOI: 10.6084/m9.figshare.7901066.v1
title: Additional file 6: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Enriched (p value
DOI: 10.6084/m9.figshare.7901057
title: Additional file 5: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Enrichment scores and p values between drug modules (rows) and Hallmark gene sets (columns). For simplicity, secondary modules were merged with the main ones. (XLSX 453 kb)
DOI: 10.6084/m9.figshare.7901048
title: Additional file 4: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Pair-wise distances between drug modules. Network distances (dnet) are normalized (z-scores): negative values denote proximity. Secondary modules receive with the suffix “_md2”. See the “Methods” section for a detailed explanation of the network distance measurement. (XLSX 1742 kb)
DOI: 10.6084/m9.figshare.7901042
title: Additional file 3: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Drug module-gene correlations across tissues. (XLSX 2823 kb)
DOI: 10.6084/m9.figshare.7901057.v1
title: Additional file 5: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Enrichment scores and p values between drug modules (rows) and Hallmark gene sets (columns). For simplicity, secondary modules were merged with the main ones. (XLSX 453 kb)
DOI: 10.6084/m9.figshare.7901036
title: Additional file 2: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Collection of drug modules in GMT format. The first column indicates the name of the drug while the second column indicates whether the module is a secondary module (“second_module”) or not (“na”). From the third column onwards, there are the genes composing the module (gene names). (XLSX 219 kb)
DOI: 10.6084/m9.figshare.7901042.v1
title: Additional file 3: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Drug module-gene correlations across tissues. (XLSX 2823 kb)
DOI: 10.6084/m9.figshare.7901048.v1
title: Additional file 4: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Pair-wise distances between drug modules. Network distances (dnet) are normalized (z-scores): negative values denote proximity. Secondary modules receive with the suffix “_md2”. See the “Methods” section for a detailed explanation of the network distance measurement. (XLSX 1742 kb)
DOI: 10.6084/m9.figshare.7901036.v1
title: Additional file 2: of Encircling the regions of the pharmacogenomic landscape that determine drug response

description: Collection of drug modules in GMT format. The first column indicates the name of the drug while the second column indicates whether the module is a secondary module (“second_module”) or not (“na”). From the third column onwards, there are the genes composing the module (gene names). (XLSX 219 kb)
DOI: 10.6084/m9.figshare.7900988
title: Additional file 1: of Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data

description: Table S1. 101 loci and candidate genes by loci used to calculate the positional candidacy score (PCS). Table S2. DisGeNet results. Table S3. Gene set enrichment analysis by community. Table S4. Gene set enrichment analysis in beta cell islet-specific network. Table S5. List of genes from the seven T2D GWAS locus subset networks. (ZIP 360 kb)
DOI: 10.6084/m9.figshare.7900988.v1
title: Additional file 1: of Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data

description: Table S1. 101 loci and candidate genes by loci used to calculate the positional candidacy score (PCS). Table S2. DisGeNet results. Table S3. Gene set enrichment analysis by community. Table S4. Gene set enrichment analysis in beta cell islet-specific network. Table S5. List of genes from the seven T2D GWAS locus subset networks. (ZIP 360 kb)
DOI: 10.6084/m9.figshare.7900949
title: gVCF_HG03401

description: 1000 Genomes gVCF mapped to hs37d5 for HG03401. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900952
title: gVCF_HG01783

description: 1000 Genomes gVCF mapped to hs37d5 for HG01783. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900952.v1
title: gVCF_HG01783

description: 1000 Genomes gVCF mapped to hs37d5 for HG01783. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900946
title: gVCF_HG01781

description: 1000 Genomes gVCF mapped to hs37d5 for HG01781. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900949.v1
title: gVCF_HG03401

description: 1000 Genomes gVCF mapped to hs37d5 for HG03401. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900934
title: gVCF_HG03394

description: 1000 Genomes gVCF mapped to hs37d5 for HG03394. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900937
title: gVCF_HG01779

description: 1000 Genomes gVCF mapped to hs37d5 for HG01779. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900940
title: gVCF_HG03397

description: 1000 Genomes gVCF mapped to hs37d5 for HG03397. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900946.v1
title: gVCF_HG01781

description: 1000 Genomes gVCF mapped to hs37d5 for HG01781. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900931
title: Data for GRL manuscript 2019GL082306

description: This dataset belongs to a GRL manuscript entitled 'Human-induced changes in Holocene nitrogen cycling in North China: an isotopic perspective from sedimentary pyrogenic material'. Please cite and refer to this article if it can be published.
DOI: 10.6084/m9.figshare.7900934.v1
title: gVCF_HG03394

description: 1000 Genomes gVCF mapped to hs37d5 for HG03394. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900937.v1
title: gVCF_HG01779

description: 1000 Genomes gVCF mapped to hs37d5 for HG01779. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900895
title: gVCF_HG01777

description: 1000 Genomes gVCF mapped to hs37d5 for HG01777. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900931.v1
title: Data for GRL manuscript 2019GL082306

description: This dataset belongs to a GRL manuscript entitled 'Human-induced changes in Holocene nitrogen cycling in North China: an isotopic perspective from sedimentary pyrogenic material'. Please cite and refer to this article if it can be published.
DOI: 10.6084/m9.figshare.7900940.v1
title: gVCF_HG03397

description: 1000 Genomes gVCF mapped to hs37d5 for HG03397. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900673
title: gVCF_HG03391

description: 1000 Genomes gVCF mapped to hs37d5 for HG03391. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7900718
title: gVCF_HG01776

description: 1000 Genomes gVCF mapped to hs37d5 for HG01776. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307