cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18141/1828759
title: Bedwell 33-52-1-1H Well

description: Computed tomography data described in the technical report series "Core Characterization of Bakken Shale from the Bedwell 33-52-1-1H Well, Sheridan County, Montana" by Cimadomo, D.; Moore, J.; Paronish, T.; Schmitt, R.; Sanguinito, S.; Crandall, D.; Dotson, B.
DOI: 10.11578/1828779
title: Nth-plant supply: corn stover supplies and costs in a fleet of biorefineries-Interactive Visualization
DOI: 10.5517/ccdc.csd.ccns7f2
title: CCDC 619114: Experimental Crystal Structure Determination

description: Related Article: Cai-Ming Liu|2021|CSD Communication|||
DOI: 10.25952/an3p-gz84
title: Data file for the manuscript on the association between the five-factor model of personality and problem gambling

description: This meta-analysis examined the associations between the five-factor personality model traits and problem gambling. To be eligible for inclusion in the meta-analysis, studies had to provide effect size data that quantified the magnitude of the association between all five personality traits and problem gambling. Studies also had to use psychometrically sound measures. The meta-analysis included 20 separate samples from 19 studies and 32,222 total participants. Results showed that problem gambling was significantly correlated with the five-factor model of personality. The strongest personality correlate of problem gambling was neuroticism r = 0.31, p = <.001, 95% CI [.17, .44], followed by conscientiousness r =  -.28, p = <.001, 95% CI [-.38,-.17] ), agreeableness r = -.22, p = <.001, 95% CI [-.34, -.10], openness r = -.17, p = <.001, 95% CI [-.22,-.12], and extraversion r = - .11, p =.024, 95% CI [-.20,-.01]. These results suggest problem gamblers tend to share a common personality profile – one that could provide clues as to the most effective ways to prevent and to treat problem gambling.
description: This meta-analysis examined the associations between the five-factor personality model traits and problem gambling. To be eligible for inclusion in the meta-analysis, studies had to provide effect size data that quantified the magnitude of the association between all five personality traits and problem gambling. Studies also had to use psychometrically sound measures. The meta-analysis included 20 separate samples from 19 studies and 32,222 total participants. Results showed that problem gambling was significantly correlated with the five-factor model of personality. The strongest personality correlate of problem gambling was neuroticism r = 0.31, p = <.001, 95% CI [.17, .44], followed by conscientiousness r =  -.28, p = <.001, 95% CI [-.38,-.17] ), agreeableness r = -.22, p = <.001, 95% CI [-.34, -.10], openness r = -.17, p = <.001, 95% CI [-.22,-.12], and extraversion r = - .11, p =.024, 95% CI [-.20,-.01]. These results suggest problem gamblers tend to share a common personality profile – one that could provide clues as to the most effective ways to prevent and to treat problem gambling.
DOI: 10.6084/m9.figshare.16917340
title: Splice_junctions_Dataset.csv

description: The splice junctions detected in downloaded RNA-seq data
DOI: 10.6084/m9.figshare.16917340.v1
title: Splice_junctions_Dataset.csv

description: The splice junctions detected in downloaded RNA-seq data
DOI: 10.6084/m9.figshare.16927018
title: Specifica anti-SARS-CoV2 antibody sequences.docx

description: Those are the amino acid sequences of antibodies selected from a semi-synthetic antibody library recognizing the spike protein of SARS-CoV2
DOI: 10.6084/m9.figshare.16927018.v1
title: Specifica anti-SARS-CoV2 antibody sequences.docx

description: Those are the amino acid sequences of antibodies selected from a semi-synthetic antibody library recognizing the spike protein of SARS-CoV2
DOI: 10.5281/zenodo.5644398
title: Specifica's recombinant Anti SARS-CoV2 antibodies

description: These antibodies were selected against the spike protein of SARS-CoV2 from a semi-synthetic antibody library.
DOI: 10.5281/zenodo.5644397
title: Specifica's recombinant Anti SARS-CoV2 antibodies

description: These antibodies were selected against the spike protein of SARS-CoV2 from a semi-synthetic antibody library.
DOI: 10.3886/e114030v1-100620
title: Replication data for: Automation and New Tasks: How Technology Displaces and Reinstates Labor

description: We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the allocation of tasks to capital and labor—the task content of production. Automation, which enables capital to replace labor in tasks it was previously engaged in, shifts the task content of production against labor because of a displacement effect. As a result, automation always reduces the labor share in value added and may reduce labor demand even as it raises productivity. The effects of automation are counterbalanced by the creation of new tasks in which labor has a comparative advantage. The introduction of new tasks changes the task content of production in favor of labor because of a reinstatement effect, and always raises the labor share and labor demand. We show how the role of changes in the task content of production—due to automation and new tasks—can be inferred from industry-level data. Our empirical decomposition suggests that the slower growth of employment over the last three decades is accounted for by an acceleration in the displacement effect, especially in manufacturing, a weaker reinstatement effect, and slower growth of productivity than in previous decades.
DOI: 10.5517/ccdc.csd.cc24lymb
title: CCDC 1984422: Experimental Crystal Structure Determination

description: Related Article: Yanli Yin, Yifan Fan, Xiaowei Zhao, Guobi Chai, Zhiyong Jiang|2021|Asian J.Org.Chem|10|2538|doi:10.1002/ajoc.202100480
DOI: 10.5517/ccdc.csd.cc24lync
title: CCDC 1984423: Experimental Crystal Structure Determination

description: Related Article: Yanli Yin, Yifan Fan, Xiaowei Zhao, Guobi Chai, Zhiyong Jiang|2021|Asian J.Org.Chem|10|2538|doi:10.1002/ajoc.202100480
DOI: 10.5517/ccdc.csd.cc269hlm
title: CCDC 2034920: Experimental Crystal Structure Determination

description: Related Article: Yanli Yin, Yifan Fan, Xiaowei Zhao, Guobi Chai, Zhiyong Jiang|2021|Asian J.Org.Chem|10|2538|doi:10.1002/ajoc.202100480
DOI: 10.5517/ccdc.csd.cc27p7ls
title: CCDC 2075995: Experimental Crystal Structure Determination

description: Related Article: Akhil Kumar Singh, Mohammad Usman, Sabyasachi Sarkar, Giuseppe Sciortino, Devesh Kumar, Eugenio Garribba, Sankar Prasad Rath|2021|Inorg.Chem.|60|16492|doi:10.1021/acs.inorgchem.1c02331
DOI: 10.5517/ccdc.csd.cc28cdhk
title: CCDC 2096328: Experimental Crystal Structure Determination

description: Related Article: Francesco Papi, Jason Potticary, Arianna E. Lanza, Simon R. Hall, Mauro Gemmi|2021|Cryst.Growth Des.|21|6341|doi:10.1021/acs.cgd.1c00820
DOI: 10.5517/ccdc.csd.cc28gysh
title: CCDC 2099747: Experimental Crystal Structure Determination

description: Related Article: Drake M. Mellott, Dan Torres, Inna V. Krieger, Scott A. Cameron, Zahra Moghadamchargari, Arthur Laganowsky, James C. Sacchettini, Thomas D. Meek, Lawrence D. Harris|2021|J.Am.Chem.Soc.|143|17666|doi:10.1021/jacs.1c07970
DOI: 10.5517/ccdc.csd.cc28kd9k
title: CCDC 2102088: Experimental Crystal Structure Determination

description: Related Article: Jiaxiang Guo, Yue Yang, Chuandong Dou, Yue Wang|2021|J.Am.Chem.Soc.|143|18272|doi:10.1021/jacs.1c08486
DOI: 10.5517/ccdc.csd.cc28krqb
title: CCDC 2102442: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Rong Jiang, Chao Liu, Baoqiu Yu, Xue Cai, Hailong Wang|2021|Cryst.Growth Des.|21|6497|doi:10.1021/acs.cgd.1c00942
DOI: 10.5517/ccdc.csd.cc28krrc
title: CCDC 2102443: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Rong Jiang, Chao Liu, Baoqiu Yu, Xue Cai, Hailong Wang|2021|Cryst.Growth Des.|21|6497|doi:10.1021/acs.cgd.1c00942
DOI: 10.5517/ccdc.csd.cc27p7jq
title: CCDC 2075993: Experimental Crystal Structure Determination

description: Related Article: Akhil Kumar Singh, Mohammad Usman, Sabyasachi Sarkar, Giuseppe Sciortino, Devesh Kumar, Eugenio Garribba, Sankar Prasad Rath|2021|Inorg.Chem.|60|16492|doi:10.1021/acs.inorgchem.1c02331
DOI: 10.5517/ccdc.csd.cc27p7mt
title: CCDC 2075996: Experimental Crystal Structure Determination

description: Related Article: Akhil Kumar Singh, Mohammad Usman, Sabyasachi Sarkar, Giuseppe Sciortino, Devesh Kumar, Eugenio Garribba, Sankar Prasad Rath|2021|Inorg.Chem.|60|16492|doi:10.1021/acs.inorgchem.1c02331
DOI: 10.5517/ccdc.csd.cc28x4fs
title: CCDC 2112415: Experimental Crystal Structure Determination

description: Related Article: Jiaxiang Guo, Yue Yang, Chuandong Dou, Yue Wang|2021|J.Am.Chem.Soc.|143|18272|doi:10.1021/jacs.1c08486
DOI: 10.5281/zenodo.5644426
title: Data set of 'Adiabatic temperature profile in the mantle, revised'

description: P-V-T data of the four major mantle minerals, olivine, wadselyite, ringwoodite, and bridgmanite The original data are as follows: Olivine: https://doi.org/10.1016/j.pepi.2008.08.002 Wadsleyite: https://doi.org/10.1029/2009GL038107 Ringwoodite: https://doi.org/10.1029/2004JB003094 Bridgmanite; https://doi.org/10.1029/2009GL039318 https://doi.org/10.1029/2011JB008988 The temperatures were recalculated using https://doi.org/10.1016/j.pepi.2019.106348 The pressures were recalculated using https://doi.org/10.1029/2011JB008988
DOI: 10.5281/zenodo.5644425
title: Data set of 'Adiabatic temperature profile in the mantle, revised'

description: P-V-T data of the four major mantle minerals, olivine, wadselyite, ringwoodite, and bridgmanite The original data are as follows: Olivine: https://doi.org/10.1016/j.pepi.2008.08.002 Wadsleyite: https://doi.org/10.1029/2009GL038107 Ringwoodite: https://doi.org/10.1029/2004JB003094 Bridgmanite; https://doi.org/10.1029/2009GL039318 https://doi.org/10.1029/2011JB008988 The temperatures were recalculated using https://doi.org/10.1016/j.pepi.2019.106348 The pressures were recalculated using https://doi.org/10.1029/2011JB008988
DOI: 10.6084/m9.figshare.14150845
title: Additional file 1 of Prevalence of schistosomiasis and its association with anemia among pregnant women: a systematic review and meta-analysis

description: Additional file 1. Characteristics of all studies included in this systematic review and meta-analysis of the prevalence of schistosomiasis during pregnancy.
DOI: 10.6084/m9.figshare.14150845.v1
title: Additional file 1 of Prevalence of schistosomiasis and its association with anemia among pregnant women: a systematic review and meta-analysis

description: Additional file 1. Characteristics of all studies included in this systematic review and meta-analysis of the prevalence of schistosomiasis during pregnancy.
DOI: 10.6084/m9.figshare.16928361
title: Additional file 7 of DNA methylation and gene expression changes in mouse pre- and post-implantation embryos generated by intracytoplasmic sperm injection with artificial oocyte activation

description: Additional file 7.
DOI: 10.6084/m9.figshare.16928361.v1
title: Additional file 7 of DNA methylation and gene expression changes in mouse pre- and post-implantation embryos generated by intracytoplasmic sperm injection with artificial oocyte activation

description: Additional file 7.
DOI: 10.18112/openneuro.ds003382.v1.4.0
title: Monash vis-fPET-fMRI
DOI: 10.6084/m9.figshare.16928385
title: Additional file 11 of A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children

description: Additional file 11. Downs and Black risk of bias assessment.
DOI: 10.6084/m9.figshare.16928385.v1
title: Additional file 11 of A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children

description: Additional file 11. Downs and Black risk of bias assessment.
DOI: 10.6084/m9.figshare.16928388
title: Additional file 12 of A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children

description: Additional file 12. COSMIN risk of bias assessment.
DOI: 10.6084/m9.figshare.16928388.v1
title: Additional file 12 of A systematic review of the validity, reliability, and feasibility of measurement tools used to assess the physical activity and sedentary behaviour of pre-school aged children

description: Additional file 12. COSMIN risk of bias assessment.
DOI: 10.6084/m9.figshare.16928363
title: Additional file 10 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 10. Reactome (DMPs). Reactome pathways identified with GSEA using the differentially methylated positions. Description of Reactome pathway, N represents the total number of genes in the Reactome pathway, DE represents the number of differentially methylated genes in the Reactome pathway, and SigGenesInSet are the differentially methylated genes in the Reactome pathway.
DOI: 10.6084/m9.figshare.16928363.v1
title: Additional file 10 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 10. Reactome (DMPs). Reactome pathways identified with GSEA using the differentially methylated positions. Description of Reactome pathway, N represents the total number of genes in the Reactome pathway, DE represents the number of differentially methylated genes in the Reactome pathway, and SigGenesInSet are the differentially methylated genes in the Reactome pathway.
DOI: 10.6084/m9.figshare.16928366
title: Additional file 11 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 11. Reactome (DMRs). Reactome pathways identified with GSEA using the differentially methylated regions. Description of Reactome pathway, N represents the total number of genes in the Reactome pathway, DE represents the number of differentially methylated genes in the Reactome pathway, and SigGenesInSet are the differentially methylated genes in the Reactome pathway.
DOI: 10.6084/m9.figshare.16928366.v1
title: Additional file 11 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 11. Reactome (DMRs). Reactome pathways identified with GSEA using the differentially methylated regions. Description of Reactome pathway, N represents the total number of genes in the Reactome pathway, DE represents the number of differentially methylated genes in the Reactome pathway, and SigGenesInSet are the differentially methylated genes in the Reactome pathway.
DOI: 10.6084/m9.figshare.16928372.v1
title: Additional file 12 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 12. PCRs. Results from qPCR of GGT7, FOXO3, and ALDH1A1 in Gene SMART cohort. Blank cells indicate sample that had a standard deviation of greater than 1 Ct between triplicates. Housekeeping genes tested are Cyclophilin, 18s rRNA, and TBP. Primer sequences and PCR conditions used.
DOI: 10.6084/m9.figshare.16928372
title: Additional file 12 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 12. PCRs. Results from qPCR of GGT7, FOXO3, and ALDH1A1 in Gene SMART cohort. Blank cells indicate sample that had a standard deviation of greater than 1 Ct between triplicates. Housekeeping genes tested are Cyclophilin, 18s rRNA, and TBP. Primer sequences and PCR conditions used.
DOI: 10.6084/m9.figshare.16928381
title: Additional file 14 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 14. Data available for each of the datasets included in the DNA methylation meta-analysis. Immunohistochemistry (IHC); sex hormone-binding globulin (SHBG), free testosterone (Free T), testosterone (T), estradiol (E2)
DOI: 10.6084/m9.figshare.16928384.v1
title: Additional file 15 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 15. List of transcription factors (TFs) included in analysis for enrichment of transcription factor binding sites (TFBSs) among differentially methylated positions (DMPs). The current UniBind database tests a total of 268 unique TFs from 518 different cell types.
DOI: 10.6084/m9.figshare.16928381.v1
title: Additional file 14 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 14. Data available for each of the datasets included in the DNA methylation meta-analysis. Immunohistochemistry (IHC); sex hormone-binding globulin (SHBG), free testosterone (Free T), testosterone (T), estradiol (E2)
DOI: 10.6084/m9.figshare.16928390
title: Additional file 2 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 2. Study descriptions. Description of participants, study design, muscle collection, and data pre-processing/analysis.
DOI: 10.6084/m9.figshare.16928390.v1
title: Additional file 2 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 2. Study descriptions. Description of participants, study design, muscle collection, and data pre-processing/analysis.
DOI: 10.6084/m9.figshare.16928384
title: Additional file 15 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 15. List of transcription factors (TFs) included in analysis for enrichment of transcription factor binding sites (TFBSs) among differentially methylated positions (DMPs). The current UniBind database tests a total of 268 unique TFs from 518 different cell types.
DOI: 10.6084/m9.figshare.16928396
title: Additional file 3 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 3. DMPs. Differentially methylated positions between males and females in the meta-analysis FDR&lt;0.005. Corresponding chromosome, genomic location, annotated genes, male and female chromatin states from the Roadmaps Epigenomics Project, and genes annotated by GeneHancer. Positive effect size indicates higher DNA methylation in males compared to females.
DOI: 10.6084/m9.figshare.16928396.v1
title: Additional file 3 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 3. DMPs. Differentially methylated positions between males and females in the meta-analysis FDR&lt;0.005. Corresponding chromosome, genomic location, annotated genes, male and female chromatin states from the Roadmaps Epigenomics Project, and genes annotated by GeneHancer. Positive effect size indicates higher DNA methylation in males compared to females.
DOI: 10.6084/m9.figshare.16928399
title: Additional file 4 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 4. DMRs. Differentially methylated regions between males and females in the meta-analysis Stouffer, HMFDR, and Fisher &lt;0.005. Corresponding chromosome, genomic location, width of DMR, number of CpGs in DMR, statistics (Stouffer, Harmonic mean false discovery rate (HMFDR), and Fisher statistic), maximum and mean DMR effect sizes, and annotated genes. Positive effect size indicates higher DNA methylation in males compared to females.
DOI: 10.6084/m9.figshare.16928399.v1
title: Additional file 4 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 4. DMRs. Differentially methylated regions between males and females in the meta-analysis Stouffer, HMFDR, and Fisher &lt;0.005. Corresponding chromosome, genomic location, width of DMR, number of CpGs in DMR, statistics (Stouffer, Harmonic mean false discovery rate (HMFDR), and Fisher statistic), maximum and mean DMR effect sizes, and annotated genes. Positive effect size indicates higher DNA methylation in males compared to females.
DOI: 10.6084/m9.figshare.16928408.v1
title: Additional file 6 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 6. GO (DMPs). Gene Ontology terms identified with GSEA using the differentially methylated positions. Type of GO term- biological process (BP), molecular function (MF), and cellular component (CC), name of GO term, N represents the total number of genes in the GO term, DE represents the number of differentially methylated genes in the GO term, and SigGenesInSet are the differentially methylated genes in the GO term.
DOI: 10.6084/m9.figshare.16928411
title: Additional file 7 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 7. GO (DMRs). Gene Ontology terms identified with GSEA using the differentially methylated regions. Type of GO term- biological process (BP), molecular function (MF), and cellular component (CC), name of GO term, N represents the total number of genes in the GO term, DE represents the number of differentially methylated genes in the GO term, and SigGenesInSet are the differentially methylated genes in the GO term.
DOI: 10.6084/m9.figshare.16928402
title: Additional file 5 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 5. Overlapping genes. Genes which displayed sex-biased gene expression in GTEx and FUSION as well as sex-biased DNA methylation (according to DMRs) in the meta-analysis. Corresponding chromosome, ensemble gene ID, gene name, GTEx mash posterior effect size, GTEx local false sign rate threshold, FUSION mRNA fold change, FUSION mRNA FDR, and number of DMPs per gene. Positive effect sizes indicate higher DNA methylation or expression in males compared to females.
DOI: 10.6084/m9.figshare.16928402.v1
title: Additional file 5 of Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism

description: Additional file 5. Overlapping genes. Genes which displayed sex-biased gene expression in GTEx and FUSION as well as sex-biased DNA methylation (according to DMRs) in the meta-analysis. Corresponding chromosome, ensemble gene ID, gene name, GTEx mash posterior effect size, GTEx local false sign rate threshold, FUSION mRNA fold change, FUSION mRNA FDR, and number of DMPs per gene. Positive effect sizes indicate higher DNA methylation or expression in males compared to females.