cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12204962.v4
title: Holocene dust storm data from Lake Gonghai, northern China.

description: Asian dust storms have long been a major environmental concern in China, affecting the lives of about one billion people. However, it is unclear whether the mechanisms responsible for Asian dust storms during the Holocene varied on different timescales, and thus it is unclear whether there was a shift from a natural forcing to an anthropogenic forcing of dust storms. We reconstructed a high-resolution Holocene record of dust storms from the sediments of an undisturbed alpine lake on the Chinese Loess Plateau. We found that Asian dust storm activity generally increased during the Holocene, with the largest fluctuations occurring during the past 2000 years. The increase in dust storm activity was in contrast to the decrease in East Asian winter monsoon (EAWM) intensity during the Holocene, indicating that the EAWM played a limited role in modulating dust storms. By contrast, the increase in dust storms corresponded to a decrease in East Asian summer monsoon (EASM) precipitation. This demonstrates that EASM precipitation was the dominant control of dust storm activity on a millennial timescale, because decreased EASM precipitation expanded the desert area and thus increased the dust storm activity. The increasing intensity of human activity in the region since the Bronze Age resulted in an acceleration of dust storm activity against the background of decreased EASM precipitation. As human disturbance continued to intensify, beginning at least at ~2 cal ka BP, increased dust storms were closely linked to increasing human populations in the dust source regions, and there is a strong temporal coherence between increased dust storms and higher EASM precipitation. This was completely different from when natural processes dominated, when fewer dust storms occurred during periods of a strengthened EASM. Therefore, there was a shift from a natural forcing to an anthropogenic forcing of dust storms on a multi-decadal to centennial timescale, and was a mode in which “human activity overtook the EASM as the dominant control of the Earth surface system”.
DOI: 10.6084/m9.figshare.15128004
title: GSM866992_egfp_positive_cells_sample_1_peaks.bigwig

description: mESC Cardiac Directed Differentiation YY1
DOI: 10.6084/m9.figshare.15128004.v1
title: GSM866992_egfp_positive_cells_sample_1_peaks.bigwig

description: mESC Cardiac Directed Differentiation YY1
DOI: 10.25345/c5rk1k
title: MassIVE MSV000087954 - A mass spectrometry-based proteome map of drug action in lung cancer cell lines
title: Mass spectrometry-based discovery proteomics is an essential tool for the proximal read-out of cellular drug action. Here, we used a robust proteomic workflow to rapidly and systematically profile the proteomes of five cell lines in response to &gt; 50 drugs. We found that aggregating millions of quantitative protein-drug associations substantially improved the mechanism of action (MoA) deconvolution of single compounds. For example, MoA specificity increased after removal of proteins which frequently responded to drugs and the aggregation of proteome changes across multiple cell lines resolved compound effects on proteostasis. These characteristics were further leveraged to demonstrate efficient target identification of protein degraders. Moreover, we followed up on selected proteomic findings and showed that the inhibition of mitochondrial function is an off-target mechanism of the clinical MEK inhibitor PD184352 and that Ceritinib, an FDA approved drug in lung cancer, modulates autophagy. Overall, this study demonstrates that large-scale proteome perturbation profiling can be a useful addition to the drug discovery toolbox.
DOI: 10.6084/m9.figshare.15058308
title: Mapping the major quantitative trait loci of the heading date trait in Qingke barley (Hordeum vulgare L.) from the Qinghai-Tibetan Plateau via genotyping by sequencing

description: Supplementary_materials:<b>Table S1. </b>Genetic marker distribution within the high-density genetic map. <b>Figure S</b><b>1</b>. High-density genetic map of qingke that was constructed by bin markers. <b>Table</b><b> S2</b><b>.</b> Five primers were tightly linked to the<i> cqHD2H-2</i> locus. <b>Figure </b><b>S2</b><b>.</b><i> </i>The <i>cqHD2H-2</i> flank codominant markers.
DOI: 10.6084/m9.figshare.15058308.v2
title: Mapping the major quantitative trait loci of the heading date trait in Qingke barley (Hordeum vulgare L.) from the Qinghai-Tibetan Plateau via genotyping by sequencing

description: Supplementary_materials:<b>Table S1. </b>Genetic marker distribution within the high-density genetic map. <b>Figure S</b><b>1</b>. High-density genetic map of qingke that was constructed by bin markers. <b>Table</b><b> S2</b><b>.</b> Five primers were tightly linked to the<i> cqHD2H-2</i> locus. <b>Figure </b><b>S2</b><b>.</b><i> </i>The <i>cqHD2H-2</i> flank codominant markers.
DOI: 10.6084/m9.figshare.15058308.v1
title: Mapping the major quantitative trait loci of the heading date trait in Qingke barley (Hordeum vulgare L.) from the Qinghai-Tibetan Plateau via genotyping by sequencing

description: Supplementary_materials:<b>Table S1. </b>Genetic marker distribution within the high-density genetic map. <b>Figure S</b><b>1</b>. High-density genetic map of qingke that was constructed by bin markers. <b>Table</b><b> S2</b><b>.</b> Five primers were tightly linked to the<i> cqHD2H-2</i> locus. <b>Figure </b><b>S2</b><b>.</b><i> </i>The <i>cqHD2H-2</i> flank codominant markers.
DOI: 10.6084/m9.figshare.15128112.v1
title: Additional file 1 of Recombination and lineage-specific mutations linked to the emergence of SARS-CoV-2

description: Additional file 1. (xlsx file) Tables listing the sequences used in this study, and amino acids of interest in SARS-CoV-2. Table S1: Accession number (or GISAID name) of all sequences used in this study. Table S2: Conserved amino acids in SARS-CoV-2, not present in RaTG13. Table S3: Spike changes specific of SARS-CoV-2. Table S4: Acknowledges table for all samples retrieved from GISAID.
DOI: 10.6084/m9.figshare.15128148
title: Additional file 2 of Establishment and validation of a guinea pig model for human congenital toxoplasmosis

description: Additional file 2: Table S2. Logistic regressions of the probability of seroconversion depending on the duration of infection and the infectious dose as shown in Fig. 1. Table S3. Individual results of the multiple Gehan-Breslow-Wilcoxon tests as shown in Fig. 2. Table S4. Individual results of the multiple Gehan-Breslow-Wilcoxon tests as shown in Fig. 3. Table S5. Cq values of individual organs of each offspring. Table S6. Individual results of the Kruskal-Wallis tests as shown in Fig. 5. Table S7. Individual results of the Kruskal-Wallis tests as shown in Fig. 6. Table S8. Individual results of the simple linear regressions of brains and hearts as shown in Fig. 7. Table S9. Individual results of the Kruskal-Wallis tests as shown in Fig. 8. Table S10. Individual results of the Kruskal-Wallis tests as shown in Fig. 9. Table S11. Individual results of the Mann-Whitney tests as shown in Additional file 3: Figure S1. Table S12. Number of histopathologically determined lesions in the brain of each offspring. Table S13. Individual results of the Kruskal-Wallis and Mann-Whitney tests as shown in Fig. 11.
DOI: 10.6084/m9.figshare.15128148.v1
title: Additional file 2 of Establishment and validation of a guinea pig model for human congenital toxoplasmosis

description: Additional file 2: Table S2. Logistic regressions of the probability of seroconversion depending on the duration of infection and the infectious dose as shown in Fig. 1. Table S3. Individual results of the multiple Gehan-Breslow-Wilcoxon tests as shown in Fig. 2. Table S4. Individual results of the multiple Gehan-Breslow-Wilcoxon tests as shown in Fig. 3. Table S5. Cq values of individual organs of each offspring. Table S6. Individual results of the Kruskal-Wallis tests as shown in Fig. 5. Table S7. Individual results of the Kruskal-Wallis tests as shown in Fig. 6. Table S8. Individual results of the simple linear regressions of brains and hearts as shown in Fig. 7. Table S9. Individual results of the Kruskal-Wallis tests as shown in Fig. 8. Table S10. Individual results of the Kruskal-Wallis tests as shown in Fig. 9. Table S11. Individual results of the Mann-Whitney tests as shown in Additional file 3: Figure S1. Table S12. Number of histopathologically determined lesions in the brain of each offspring. Table S13. Individual results of the Kruskal-Wallis and Mann-Whitney tests as shown in Fig. 11.
DOI: 10.6084/m9.figshare.15128154
title: Additional file 1 of Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

description: Additional file 1: Figure S1. Results of the Kaplan-Meier curve analysis in HPV positive and negative group. The Kaplan-Meier curve by deep learning-based classification with axial and coronal images combination model in ResNet and the multivariate clinical model in HPV positive patients group (A, B) and in HPV negative patients group (C, D) were presented respectively.
DOI: 10.6084/m9.figshare.15128154.v1
title: Additional file 1 of Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

description: Additional file 1: Figure S1. Results of the Kaplan-Meier curve analysis in HPV positive and negative group. The Kaplan-Meier curve by deep learning-based classification with axial and coronal images combination model in ResNet and the multivariate clinical model in HPV positive patients group (A, B) and in HPV negative patients group (C, D) were presented respectively.
DOI: 10.6084/m9.figshare.15128157
title: Additional file 2 of Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

description: Additional file 2: Figure S2. Results of the Kaplan-Meier curve analyses with switching patients cohort between training and test session. The Kaplan-Meier curve of axial and coronal combination model in ResNet using test set consisting of A-1 group (A) and A-2 group (B) was presented. A clear division of PFS rate in both Kaplan-Meier curves was observed.
DOI: 10.6084/m9.figshare.15128157.v1
title: Additional file 2 of Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

description: Additional file 2: Figure S2. Results of the Kaplan-Meier curve analyses with switching patients cohort between training and test session. The Kaplan-Meier curve of axial and coronal combination model in ResNet using test set consisting of A-1 group (A) and A-2 group (B) was presented. A clear division of PFS rate in both Kaplan-Meier curves was observed.
DOI: 10.6084/m9.figshare.15000033
title: Additional file 1 of Characterization of the gut microbiome in wild rocky mountainsnails (Oreohelix strigosa)

description: Additional file 1.
DOI: 10.6084/m9.figshare.15000033.v1
title: Additional file 1 of Characterization of the gut microbiome in wild rocky mountainsnails (Oreohelix strigosa)

description: Additional file 1.
DOI: 10.6084/m9.figshare.15128219
title: Additional file 2 of The impact of COVID-19 lockdown on physical activity and weight gain among active adult population in Israel: a cross-sectional study

description: Additional file 2. ST2 Raw collecting data.
DOI: 10.6084/m9.figshare.15128219.v1
title: Additional file 2 of The impact of COVID-19 lockdown on physical activity and weight gain among active adult population in Israel: a cross-sectional study

description: Additional file 2. ST2 Raw collecting data.
DOI: 10.6084/m9.figshare.15128229
title: Additional file 1 of Content and analysis of a knowledge translation activity for an elder abuse detection tool: a descriptive study

description: Additional file 1.
DOI: 10.6084/m9.figshare.15128229.v1
title: Additional file 1 of Content and analysis of a knowledge translation activity for an elder abuse detection tool: a descriptive study

description: Additional file 1.
DOI: 10.6084/m9.figshare.15128262
title: Additional file 2 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 2. Model details. Details of the Bayesian regression models with coefficients determined using our training dataset of 11 control infants and 11 NEC cases. 95% credible intervals have been calculated for each coefficient. The spread of each variable over the training dataset is provided.
DOI: 10.6084/m9.figshare.15128262.v1
title: Additional file 2 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 2. Model details. Details of the Bayesian regression models with coefficients determined using our training dataset of 11 control infants and 11 NEC cases. 95% credible intervals have been calculated for each coefficient. The spread of each variable over the training dataset is provided.
DOI: 10.6084/m9.figshare.15128265
title: Additional file 3 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 3. Data for sample characterisation. Tab1 – Infant and sample information. Tab 2 – qPCR data use to establish 16S copies per gram of faeces. Tab 3 –Metagenomic assignments with genome lengths, 16S copies per genome and Gram-staining.
DOI: 10.6084/m9.figshare.15128265.v1
title: Additional file 3 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 3. Data for sample characterisation. Tab1 – Infant and sample information. Tab 2 – qPCR data use to establish 16S copies per gram of faeces. Tab 3 –Metagenomic assignments with genome lengths, 16S copies per genome and Gram-staining.
DOI: 10.6084/m9.figshare.15128268
title: Additional file 4 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 4. Shotgun metagenomic sequencing. Details of shotgun metagenomic sequencing including reads per sample and the accession number relating to the data in the ENA.
DOI: 10.6084/m9.figshare.15128268.v1
title: Additional file 4 of Premature neonatal gut microbial community patterns supporting an epithelial TLR-mediated pathway for necrotizing enterocolitis

description: Additional file 4. Shotgun metagenomic sequencing. Details of shotgun metagenomic sequencing including reads per sample and the accession number relating to the data in the ENA.
DOI: 10.6084/m9.figshare.15128271
title: Additional file 1 of The role of 25-hydroxyvitamin-D3 and vitamin D receptor gene in human periodontal ligament fibroblasts as response to orthodontic compressive strain: an in vitro study

description: Additional file 1. Studied target genes and reference genes.
DOI: 10.6084/m9.figshare.15128271.v1
title: Additional file 1 of The role of 25-hydroxyvitamin-D3 and vitamin D receptor gene in human periodontal ligament fibroblasts as response to orthodontic compressive strain: an in vitro study

description: Additional file 1. Studied target genes and reference genes.
DOI: 10.6084/m9.figshare.15128283
title: Additional file 3 of Type 1 diabetes in pregnancy is associated with distinct changes in the composition and function of the gut microbiome

description: Additional file 2.
DOI: 10.6084/m9.figshare.15128283.v1
title: Additional file 3 of Type 1 diabetes in pregnancy is associated with distinct changes in the composition and function of the gut microbiome

description: Additional file 2.
DOI: 10.6084/m9.figshare.15128381
title: Additional file 10 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 10. Potential errors in the TAIR9 reference genome sequence of Col-0.
DOI: 10.6084/m9.figshare.15128381.v1
title: Additional file 10 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 10. Potential errors in the TAIR9 reference genome sequence of Col-0.
DOI: 10.6084/m9.figshare.15128390
title: Additional file 1 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 1. Summary of GABI-Kat insertion line data, segregation data for the F2 families after selection for sulfadiazine resistance, sequencing data including run IDs from submission to ENA/SRA, and accession numbers of T-DNA free junction sequences.
DOI: 10.6084/m9.figshare.15128390.v1
title: Additional file 1 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 1. Summary of GABI-Kat insertion line data, segregation data for the F2 families after selection for sulfadiazine resistance, sequencing data including run IDs from submission to ENA/SRA, and accession numbers of T-DNA free junction sequences.
DOI: 10.6084/m9.figshare.15128396
title: Additional file 3 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 3. Overview of the T-DNA insertions and associated structural variants in the investigated GABI-Kat lines.
DOI: 10.6084/m9.figshare.15128396.v1
title: Additional file 3 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 3. Overview of the T-DNA insertions and associated structural variants in the investigated GABI-Kat lines.
DOI: 10.6084/m9.figshare.15128399
title: Additional file 4 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 4. Sequences of oligonucleotides used for the validation of fusion points of chromosomal translocations and other large structural variants.
DOI: 10.6084/m9.figshare.15128399.v1
title: Additional file 4 of Large scale genomic rearrangements in selected Arabidopsis thaliana T-DNA lines are caused by T-DNA insertion mutagenesis

description: Additional file 4. Sequences of oligonucleotides used for the validation of fusion points of chromosomal translocations and other large structural variants.
DOI: 10.6084/m9.figshare.15128433
title: Additional file 4 of Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers

description: Additional file 4: Figure S3. Patients who benefit with predicted benefit above 0 in 95% of the predictions from transportation to a Level-1 trauma center, following the models without (A) and with interaction terms (B).
DOI: 10.6084/m9.figshare.15128433.v1
title: Additional file 4 of Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers

description: Additional file 4: Figure S3. Patients who benefit with predicted benefit above 0 in 95% of the predictions from transportation to a Level-1 trauma center, following the models without (A) and with interaction terms (B).
DOI: 10.6084/m9.figshare.15128591
title: Additional file 2 of Determinants of the uptake of intermittent preventive treatment of malaria in pregnancy with sulphadoxine pyrimethamine in Sabatia Sub County, Western Kenya

description: Additional file 2. Data set used for the analysis and generation of the study results.
DOI: 10.6084/m9.figshare.15128591.v1
title: Additional file 2 of Determinants of the uptake of intermittent preventive treatment of malaria in pregnancy with sulphadoxine pyrimethamine in Sabatia Sub County, Western Kenya

description: Additional file 2. Data set used for the analysis and generation of the study results.
DOI: 10.6084/m9.figshare.15128607
title: Additional file 1 of Prevalence and risk factors of postpartum depression in the Middle East: a systematic review and meta–analysis

description: Additional file 1. Table of features of the studies included in the systematic review [61–70].
DOI: 10.6084/m9.figshare.15128607.v1
title: Additional file 1 of Prevalence and risk factors of postpartum depression in the Middle East: a systematic review and meta–analysis

description: Additional file 1. Table of features of the studies included in the systematic review [61–70].
DOI: 10.6084/m9.figshare.15128094.v1
title: Significantly different glycerolipid metabolites between horses fed silage and hay

description: The table provides information about differently regulated glycerolipid metabolites between horses fed silage and hay diet. <br><br><br><br>
DOI: 10.5281/zenodo.5168122
title: Data Set S1. Microplastic properties and Data Set S2. Sediment grain size

description: The data for microplastic properties (including abundance, shape, colour, polymer type and size) and sediment grain size (including the grain size and the content of clay, silt and sand) in Core CCYY1.
DOI: 10.5281/zenodo.5168121
title: Data Set S1. Microplastic properties and Data Set S2. Sediment grain size

description: The data for microplastic properties (including abundance, shape, colour, polymer type and size) and sediment grain size (including the grain size and the content of clay, silt and sand) in Core CCYY1.
DOI: 10.6084/m9.figshare.15128112
title: Additional file 1 of Recombination and lineage-specific mutations linked to the emergence of SARS-CoV-2

description: Additional file 1. (xlsx file) Tables listing the sequences used in this study, and amino acids of interest in SARS-CoV-2. Table S1: Accession number (or GISAID name) of all sequences used in this study. Table S2: Conserved amino acids in SARS-CoV-2, not present in RaTG13. Table S3: Spike changes specific of SARS-CoV-2. Table S4: Acknowledges table for all samples retrieved from GISAID.
DOI: 10.5517/ccdc.csd.cc1m9gbq
title: CCDC 1498643: Experimental Crystal Structure Determination

description: Related Article: Geórgia C. Zimmer, Anderson B. Pagliari, Vanessa B. Solner, Manfredo Hörner, Helio G. Bonacorso, Nilo Zanatta, Marcos A. P. Martins|2021|Cryst.Growth Des.|21|4690|doi:10.1021/acs.cgd.1c00541
DOI: 10.5517/ccdc.csd.cc24gysc
title: CCDC 1980583: Experimental Crystal Structure Determination

description: Related Article: Lei Dai, Qiuyu Yu, Jinghang Zhang, Fan Wu, Chang Wang, Jinpeng Zhang, Liangce Rong|2021|J.Org.Chem.|86|10568|doi:10.1021/acs.joc.1c01213
DOI: 10.5517/ccdc.csd.cc24gytd
title: CCDC 1980584: Experimental Crystal Structure Determination

description: Related Article: Lei Dai, Qiuyu Yu, Jinghang Zhang, Fan Wu, Chang Wang, Jinpeng Zhang, Liangce Rong|2021|J.Org.Chem.|86|10568|doi:10.1021/acs.joc.1c01213
DOI: 10.5517/ccdc.csd.cc25cbmj
title: CCDC 2006897: Experimental Crystal Structure Determination

description: Related Article: Vikas Sikervar, Ravindra Sonawane, Raghuramaiah Mandadapu, Amol Satish Dehade, Shrikant Abhiman Shete, Mark Montgomery|2021|Synthesis|53|2865|doi:10.1055/a-1503-8068
DOI: 10.5517/ccdc.csd.cc26j2kd
title: CCDC 2041243: Experimental Crystal Structure Determination

description: Related Article: Yun-Wei Hu, Ying Liu, Er-Yan Guo, Yu-Ying Wang, Wan-Qi Xu, Yan Gao, Xue-Yang Jiang, Feng Feng, Jian Xu, Wen-Yuan Liu|2021|J.Nat.Prod.|84|1889|doi:10.1021/acs.jnatprod.0c01262
DOI: 10.5517/ccdc.csd.cc26krn6
title: CCDC 2042858: Experimental Crystal Structure Determination

description: Related Article: Yan Li, Ya You, Pu Zhao, Zhong-Yi Liu, Yi-Quan Zhang, En-Cui Yang, Xiao-Jun Zhao|2021|Inorg.Chem.|60|11419|doi:10.1021/acs.inorgchem.1c01437