cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11545176
title: Zhou et al_2020_PNAS_dataset.xlsx

description: <b>National Long-term Water Use Dataset of China (NLWUD)</b> <b>Citation: </b>Zhou, F.; Bo, Y.; Ciais, P.; Dumas, P.; Tang, Q.; Wang, X.; et al., Deceleration of China’s human water use and its key drivers. <b><i>PNAS</i></b>.<b><i> </i></b>2020, 117: 1-10. https://doi.org/10.1073/pnas.1909902117. <b>Contact:</b><b> </b>Direct questions, additional information regarding publications and research by email to zhouf@pku.edu.cn. <b>Data Products:</b>1. Water use by sector and prefecture during the period 1965–2013.2. Water use intensity (WUI) by sector and prefecture during the period 1965–2013.3. Size indicators by sector and prefecture during the period 1965–2013, where the indicators include Irrigated area by crop, Industrial gross value added (GVA) by sub-sector, Service GVA, urban and rural populations, and livestock population by animal.4. LMDI decomposition results of water use change for three periods (1965-1975, 1975-1992, 1992-2013).5. Data for identifying the drivers for irrigation and industrial WUIs and Budyko-type analysis by province during the period 1971–2013, including Potential irrigation requirements, Freshwater availability allocated to irrigation sector, the ratio between the area equipped for water-conserving irrigation and total irrigated area (water-conserving irrigation technologies refer to drip or sprinkler irrigation systems and canal lining), the ratio of recycled water to total industrial WU, the ratio of evaporated water to total industrial WU, and irrigation water consumption.6. GIS files for spatial distribution of 341 prefectures in China.7. Codes used in data analysis/figure creation for the manuscript. The Codes were written by Yan Bo at the Peking University. <b>List of crops, industries, and livestocks included:</b>Wheat, maize, rice, vegetables and fruits, and other crops;thermal electricity, mining, cement, electronics, machinery, metallurgy, petrochemicals, textile, paper making, food processing, and other industries;swine, sheep, poultries, cattle, donkeys, horses, and mules <b>License:</b>Creative Commons Attribution 4.0 International Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at zhouf@pku.edu.cn.
DOI: 10.6084/m9.figshare.11545143.v1
title: ICE6Gavg_GPS model for GIA_induced changes in Stokes coefficients

description: This is a data set for GIA_induced changes in Stokes coefficients. The data presented here have assimilated ICE6G-D, PUR16 and PUR18 GIA model predictions and 4072 global GPS vertical deformation measurements. More details can be found in the accompanying preprint submitted to Remote Sensing (also in this folder).
DOI: 10.6084/m9.figshare.11544129
title: RORA RT-qpcr

description: SCAD and AMI QT-qpcr<br>
DOI: 10.6084/m9.figshare.11544129.v1
title: RORA RT-qpcr

description: SCAD and AMI QT-qpcr<br>
DOI: 10.6084/m9.figshare.11544111
title: RORA rt-qpcr

description: SCAD and AMI rt-qpcr
DOI: 10.6084/m9.figshare.11544114
title: RORA rt-qpcr

description: SCAD and AMI RT-pcr
DOI: 10.6084/m9.figshare.11544114.v1
title: RORA rt-qpcr

description: SCAD and AMI RT-pcr
DOI: 10.6084/m9.figshare.11543910
title: Defining the core group of the genus <i>Gomphonema</i> Ehrenberg with molecular and morphological methods

description: In order to understand the taxonomy and phylogeny of the genus <i>Gomphonema</i>, the type of the name of the genus, <i>G. acuminatum</i>, and related species complexes are studied with an integrative taxonomic approach. Sixty-seven unialgal <i>Gomphonema</i> strains were established from 34 different water bodies in Croatia, Faroe Islands, Finland, Iceland, Germany, Mexico, Spain, Switzerland and Korea, which provided molecular (18S and <i>rbc</i>L), morphometric and ultrastructural data. Our study was complemented by molecular data from INSDC, summing up the studied data to 82 freshwater <i>Gomphonema</i> strains from the <i>G. acuminatum</i> and related species complexes which are here defined as the <i>Gomphonema</i> core group. Except for outline variations which occur even within one clone, their micro-morphologies are indistinguishable. The molecular data of the two markers clustered the taxa of the core group into one clade, well differentiated from other <i>Gomphonema</i> taxa such as <i>G. augur</i> and <i>G. parvulum</i>. For differentiation within the clade, the plastid marker <i>rbc</i>L provided better species resolution comparable to traditionally recognized taxa. The combined analysis of the molecular as well as morphological data resulted in the defining of only 7 subclades in contrast to 20 currently assigned names for the taxa of the <i>Gomphonema</i> core group in this study. The <i>Gomphonema</i> core group has been overdescribed due to the use of outline as the main criterion for species delimitation. A polyphasic approach, combining molecular and micromorphological data for taxonomy, nomenclatural evaluation, and observations from clonal cultures can reveal the full intricacies of evolutionary relations.
DOI: 10.6084/m9.figshare.11543910.v1
title: Defining the core group of the genus <i>Gomphonema</i> Ehrenberg with molecular and morphological methods

description: In order to understand the taxonomy and phylogeny of the genus <i>Gomphonema</i>, the type of the name of the genus, <i>G. acuminatum</i>, and related species complexes are studied with an integrative taxonomic approach. Sixty-seven unialgal <i>Gomphonema</i> strains were established from 34 different water bodies in Croatia, Faroe Islands, Finland, Iceland, Germany, Mexico, Spain, Switzerland and Korea, which provided molecular (18S and <i>rbc</i>L), morphometric and ultrastructural data. Our study was complemented by molecular data from INSDC, summing up the studied data to 82 freshwater <i>Gomphonema</i> strains from the <i>G. acuminatum</i> and related species complexes which are here defined as the <i>Gomphonema</i> core group. Except for outline variations which occur even within one clone, their micro-morphologies are indistinguishable. The molecular data of the two markers clustered the taxa of the core group into one clade, well differentiated from other <i>Gomphonema</i> taxa such as <i>G. augur</i> and <i>G. parvulum</i>. For differentiation within the clade, the plastid marker <i>rbc</i>L provided better species resolution comparable to traditionally recognized taxa. The combined analysis of the molecular as well as morphological data resulted in the defining of only 7 subclades in contrast to 20 currently assigned names for the taxa of the <i>Gomphonema</i> core group in this study. The <i>Gomphonema</i> core group has been overdescribed due to the use of outline as the main criterion for species delimitation. A polyphasic approach, combining molecular and micromorphological data for taxonomy, nomenclatural evaluation, and observations from clonal cultures can reveal the full intricacies of evolutionary relations.
DOI: 10.6084/m9.figshare.11543847
title: MOESM2 of Non-coding RNAs underlie genetic predisposition to breast cancer

description: Additional file 2: Table S1. Breast derived samples on which RNA CaptureSeq was performed. Table S2. Expression (FPKM) of the mencRNAs across all RNA CaptureSeq samples. Table S3. Breast cancer risk signals and surrounding regions captured by RNA CaptureSeq. Table S4. Control sequences captured by RNA CaptureSeq. Table S5. MencRNAs with FPKM ≥0.5 identified by RNA CaptureSeq. Table S6. Novel mencRNAs with FPKM ≥0.5. Those overlapping with GENCODE, FANTOM-CAT, or NONCODE lncRNAs have been excluded. Table S7. Coding potential of the transcripts from mencRNAs with FPKM ≥0.5 assessed by coding potential calculator (CPC2). Table S8. MencRNAs differentially expressed between MCF7 estrogen-treated and control samples (FDR
DOI: 10.6084/m9.figshare.11543847.v1
title: MOESM2 of Non-coding RNAs underlie genetic predisposition to breast cancer

description: Additional file 2: Table S1. Breast derived samples on which RNA CaptureSeq was performed. Table S2. Expression (FPKM) of the mencRNAs across all RNA CaptureSeq samples. Table S3. Breast cancer risk signals and surrounding regions captured by RNA CaptureSeq. Table S4. Control sequences captured by RNA CaptureSeq. Table S5. MencRNAs with FPKM ≥0.5 identified by RNA CaptureSeq. Table S6. Novel mencRNAs with FPKM ≥0.5. Those overlapping with GENCODE, FANTOM-CAT, or NONCODE lncRNAs have been excluded. Table S7. Coding potential of the transcripts from mencRNAs with FPKM ≥0.5 assessed by coding potential calculator (CPC2). Table S8. MencRNAs differentially expressed between MCF7 estrogen-treated and control samples (FDR
DOI: 10.6084/m9.figshare.11543835
title: MOESM1 of The nested structure of urban business clusters

description: Additional file 1 Appendix.
DOI: 10.6084/m9.figshare.11543829
title: MOESM1 of Nucleotide polymorphism assay for the identification of west African group Bacillus anthracis: a lineage lacking anthrose

description: Additional file 1: Table S1. Table of unique, nonredundant records of Bacillus anthracis genome shotgun entries from NCBI used for analysis in this study. A total of 176 records were initially included and 47 were removed for lack of clear B. anthracis markers (Records removed tab). Unique records appear in the "Unique B. anthracis" tab.
DOI: 10.6084/m9.figshare.11543835.v1
title: MOESM1 of The nested structure of urban business clusters

description: Additional file 1 Appendix.
DOI: 10.6084/m9.figshare.11543829.v1
title: MOESM1 of Nucleotide polymorphism assay for the identification of west African group Bacillus anthracis: a lineage lacking anthrose

description: Additional file 1: Table S1. Table of unique, nonredundant records of Bacillus anthracis genome shotgun entries from NCBI used for analysis in this study. A total of 176 records were initially included and 47 were removed for lack of clear B. anthracis markers (Records removed tab). Unique records appear in the "Unique B. anthracis" tab.
DOI: 10.6084/m9.figshare.11543820
title: MOESM3 of Identification of Plasmodium falciparum proteoforms from liver stage models

description: Additional file 3: Table S2. Host and malaria proteoforms identified from chimeric humanized mouse livers or primary human hepatocytes (5% FDR).
DOI: 10.6084/m9.figshare.11543820.v1
title: MOESM3 of Identification of Plasmodium falciparum proteoforms from liver stage models

description: Additional file 3: Table S2. Host and malaria proteoforms identified from chimeric humanized mouse livers or primary human hepatocytes (5% FDR).
DOI: 10.6084/m9.figshare.11543808
title: MOESM2 of Identification of Plasmodium falciparum proteoforms from liver stage models

description: Additional file 2: Table S1. Host and malaria proteoforms identified from chimeric humanized mouse livers or primary human hepatocytes (No FDR).
DOI: 10.6084/m9.figshare.11543808.v1
title: MOESM2 of Identification of Plasmodium falciparum proteoforms from liver stage models

description: Additional file 2: Table S1. Host and malaria proteoforms identified from chimeric humanized mouse livers or primary human hepatocytes (No FDR).
DOI: 10.6084/m9.figshare.11543607
title: MOESM3 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 3: Table S3. Scores of dysregulated IMMATs for MGN
DOI: 10.6084/m9.figshare.11543607.v1
title: MOESM3 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 3: Table S3. Scores of dysregulated IMMATs for MGN
DOI: 10.6084/m9.figshare.11543598
title: MOESM2 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 2: Table S2. Baseline characteristics for MGN
DOI: 10.6084/m9.figshare.11543598.v1
title: MOESM2 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 2: Table S2. Baseline characteristics for MGN
DOI: 10.6084/m9.figshare.11543595
title: MOESM3 of Frameshift mutations at the C-terminus of HIST1H1E result in a specific DNA hypomethylation signature

description: Additional file 3: Table S1. CpG sites showing differential methylation levels between Rahman syndrome (RMNS) and controls. Table S2. Regions showing differential methylation levels between RMNS and controls. Table S3. Classification scores generated for various blood cells. Table S4. Gene-set enrichment analysis on Reactome pathways for genes with hypomethylated regions in RMNS.
DOI: 10.6084/m9.figshare.11543595.v1
title: MOESM3 of Frameshift mutations at the C-terminus of HIST1H1E result in a specific DNA hypomethylation signature

description: Additional file 3: Table S1. CpG sites showing differential methylation levels between Rahman syndrome (RMNS) and controls. Table S2. Regions showing differential methylation levels between RMNS and controls. Table S3. Classification scores generated for various blood cells. Table S4. Gene-set enrichment analysis on Reactome pathways for genes with hypomethylated regions in RMNS.
DOI: 10.6084/m9.figshare.11543589
title: MOESM1 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 1: Table S1. Immune, inflammation and MGN-associated genes
DOI: 10.6084/m9.figshare.11543589.v1
title: MOESM1 of Identification of biomarkers and drug repurposing candidates based on an immune-, inflammation- and membranous glomerulonephritis-associated triplets network for membranous glomerulonephritis

description: Additional file 1: Table S1. Immune, inflammation and MGN-associated genes
DOI: 10.6084/m9.figshare.11543568
title: MOESM2 of Replication and expansion of epigenome-wide association literature in a black South African population

description: Additional file 2. Epigenome-wide associations with p
DOI: 10.6084/m9.figshare.11543559
title: MOESM1 of Replication and expansion of epigenome-wide association literature in a black South African population

description: Additional file 1. EWAS test statistics (PURE-SA-NW vs reference study) for: (a) alcohol consumption; (b) smoking status; (c) BMI; (d) WC; (e) lipids; (f) CRP and (g) age.
DOI: 10.6084/m9.figshare.11543568.v1
title: MOESM2 of Replication and expansion of epigenome-wide association literature in a black South African population

description: Additional file 2. Epigenome-wide associations with p
DOI: 10.6084/m9.figshare.11543559.v1
title: MOESM1 of Replication and expansion of epigenome-wide association literature in a black South African population

description: Additional file 1. EWAS test statistics (PURE-SA-NW vs reference study) for: (a) alcohol consumption; (b) smoking status; (c) BMI; (d) WC; (e) lipids; (f) CRP and (g) age.
DOI: 10.6084/m9.figshare.11543469
title: MOESM2 of Chromatin interactome mapping at 139 independent breast cancer risk signals

description: Additional file 2. Supplementary tables.
DOI: 10.6084/m9.figshare.11543469.v1
title: MOESM2 of Chromatin interactome mapping at 139 independent breast cancer risk signals

description: Additional file 2. Supplementary tables.
DOI: 10.6084/m9.figshare.11543433
title: MOESM7 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 7: Table S6. RPPA endpoints.
DOI: 10.6084/m9.figshare.11543433.v1
title: MOESM7 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 7: Table S6. RPPA endpoints.
DOI: 10.6084/m9.figshare.11543424
title: MOESM6 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 6: Table S5. Categories of transcripts expressed in PKH26-positive and PKH26-negative cells.
DOI: 10.6084/m9.figshare.11543424.v1
title: MOESM6 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 6: Table S5. Categories of transcripts expressed in PKH26-positive and PKH26-negative cells.
DOI: 10.6084/m9.figshare.11543415
title: MOESM5 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 5: Table S4. Gene expression array of PKH26+ versus PKH26− cells ordered according to PCA Factor 4 and transcripts modulated in quiescent/slow proliferating (PKH26+) and fast proliferating (PKH26−) cells.
DOI: 10.6084/m9.figshare.11543415.v1
title: MOESM5 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 5: Table S4. Gene expression array of PKH26+ versus PKH26− cells ordered according to PCA Factor 4 and transcripts modulated in quiescent/slow proliferating (PKH26+) and fast proliferating (PKH26−) cells.
DOI: 10.6084/m9.figshare.11543394
title: MOESM3 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 3: Table S3. Primers for gene expression analysis for qRT-PCR.
DOI: 10.6084/m9.figshare.11543397
title: MOESM4 of Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance

description: Additional file 3: Table S4. Modification of CARD.
DOI: 10.6084/m9.figshare.11543394.v1
title: MOESM3 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 3: Table S3. Primers for gene expression analysis for qRT-PCR.
DOI: 10.6084/m9.figshare.11543397.v1
title: MOESM4 of Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance

description: Additional file 3: Table S4. Modification of CARD.
DOI: 10.6084/m9.figshare.11543385
title: MOESM3 of Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance

description: Additional file 2: Table S3. Sequencing data statistics and accessions.
DOI: 10.6084/m9.figshare.11543385.v1
title: MOESM3 of Mobile resistome of human gut and pathogen drives anthropogenic bloom of antibiotic resistance

description: Additional file 2: Table S3. Sequencing data statistics and accessions.
DOI: 10.6084/m9.figshare.11543379
title: MOESM2 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 2: Table S2. Probes for gene expression analysis for qRT-PCR.
DOI: 10.6084/m9.figshare.11543379.v1
title: MOESM2 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 2: Table S2. Probes for gene expression analysis for qRT-PCR.
DOI: 10.6084/m9.figshare.11543367
title: MOESM1 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 1: Table S1. Antibodies used for RPPA analysis.
DOI: 10.6084/m9.figshare.11543367.v1
title: MOESM1 of A pre-existing population of ZEB2+ quiescent cells with stemness and mesenchymal features dictate chemoresistance in colorectal cancer

description: Additional file 1: Table S1. Antibodies used for RPPA analysis.
DOI: 10.6084/m9.figshare.11543310
title: MOESM8 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 8: Table S8. Real-time PCR analysis for the foliar disease resistance-linked genes among the resistant and the susceptible genotypes of peanut.
DOI: 10.6084/m9.figshare.11543310.v1
title: MOESM8 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 8: Table S8. Real-time PCR analysis for the foliar disease resistance-linked genes among the resistant and the susceptible genotypes of peanut.
DOI: 10.6084/m9.figshare.11543304
title: MOESM7 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 7: Table S7a. Genes showing differential expression between the parental and its mutant progeny genotypes of peanut. Table S7b. Genes showing differential expression between the foliar disease resistant and susceptible genotypes of peanut.
DOI: 10.6084/m9.figshare.11543304.v1
title: MOESM7 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 7: Table S7a. Genes showing differential expression between the parental and its mutant progeny genotypes of peanut. Table S7b. Genes showing differential expression between the foliar disease resistant and susceptible genotypes of peanut.
DOI: 10.6084/m9.figshare.11543298
title: MOESM6 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 6: Table S6. DNA methylation sites in the DNA methyl transferase and DNA demethylase genes among the peanut genotypes.
DOI: 10.6084/m9.figshare.11543298.v1
title: MOESM6 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 6: Table S6. DNA methylation sites in the DNA methyl transferase and DNA demethylase genes among the peanut genotypes.
DOI: 10.6084/m9.figshare.11543292
title: MOESM5 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 5: Table S5. DNA methylation pattern for the top 50 genes showing wide range of FPKM values among the peanut genotypes.
DOI: 10.6084/m9.figshare.11543292.v1
title: MOESM5 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 5: Table S5. DNA methylation pattern for the top 50 genes showing wide range of FPKM values among the peanut genotypes.
DOI: 10.6084/m9.figshare.11543286
title: MOESM4 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 4: Table S4. FPKM values of all the genes of peanut genotypes at seedling stage.
DOI: 10.6084/m9.figshare.11543286.v1
title: MOESM4 of DNA methylation and expression analyses reveal epialleles for the foliar disease resistance genes in peanut (Arachis hypogaea L.)

description: Additional file 4: Table S4. FPKM values of all the genes of peanut genotypes at seedling stage.
DOI: 10.6084/m9.figshare.11542614
title: FSII - Continent

description: FSII datasets available for Africa, Asia, and South America in GeoTiff format.<br>
DOI: 10.6084/m9.figshare.11542614.v1
title: FSII - Continent

description: FSII datasets available for Africa, Asia, and South America in GeoTiff format.<br>