cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12283697.v1
title: Covid_data (1).xlsx

description: Comprehensive Meta-Analysis Software (CMA) was employed to do the meta-analysis and graph settings. Estimations of effect were summarized by forest plots. Data were expressed as risk ratios (RR) with 95% confidence intervals (CI) for dichotomous outcomes.
DOI: 10.6084/m9.figshare.12283679.v1
title: 4.tar.gz

description: 4/23 CAPTCHA data
DOI: 10.6084/m9.figshare.12281084
title: 3.tar.gz

description: 3/23 captcha data.
DOI: 10.6084/m9.figshare.12281084.v1
title: 3.tar.gz

description: 3/23 captcha data.
DOI: 10.6084/m9.figshare.12280943
title: A list of meta-analysis functions and objects in the R packages meta and metafor with a contrast to Stata

description: A list of functions and objects (such as sample datasets) included in the R packages meta and metafor. The functions and objects provided in Stata also listed as a contrast outside the R environment. Data relevant collected May 2020. Versioning: meta version 4.12-0, metafor version 2.4-0, and Stata version 16.
DOI: 10.6084/m9.figshare.12280838
title: antiSMASH annotation of Pachastrella ovisternata metatranscriptome

description: Metatranscriptomic data of 12 specimens of the sponge <i>Pachastrella ovisternata</i><i> </i>from Avilés canyon and Le Danois bank (Cantabrian Sea) was co-assembled with Trinity v2.0.9 and annotated with antiSMASH v4.1.0.
DOI: 10.6084/m9.figshare.12280838.v1
title: antiSMASH annotation of Pachastrella ovisternata metatranscriptome

description: Metatranscriptomic data of 12 specimens of the sponge <i>Pachastrella ovisternata</i><i> </i>from Avilés canyon and Le Danois bank (Cantabrian Sea) was co-assembled with Trinity v2.0.9 and annotated with antiSMASH v4.1.0.
DOI: 10.6084/m9.figshare.12280769
title: antiSMASH annotation of Geodia pachydermata metatranscriptome

description: Metatranscriptomic data of 3 specimens of the sponge <i>Geodia </i><i>pachydermata </i>from Avilés canyon and Le Danois bank (Cantabrian Sea) was co-assembled with Trinity v2.0.9 and annotated with antiSMASH v4.1.0.
DOI: 10.6084/m9.figshare.12280727
title: antiSMASH annotation of Geodia parva metatranscriptome

description: Metatranscriptomic data of 13 specimens of the sponge <i>Geodia parva</i> from Langseth Ridge (collected on RV Polarstern cruise PS101 in November 2016) was co-assembled with Trinity v2.0.6 and annotated with antiSMASH v4.1.0. For the detailed cruise report, see Boetius and Purser (2017) available at http://dx.doi.org/10.2312/BzPM_0706_2017.
DOI: 10.6084/m9.figshare.12280763.v2
title: antiSMASH annotation of Geodia cf. barretti metatranscriptome

description: Metatranscriptomic data of 3specimens of the sponge <i>Geodia </i>cf. <i>barretti </i>from Avilés canyon and Le Danois bank (Cantabrian Sea) was co-assembled with Trinity v2.0.9 and annotated with antiSMASH v4.1.0.<br>
DOI: 10.6084/m9.figshare.12280763
title: antiSMASH annotation of Geodia cf. barretti metatranscriptome

description: Metatranscriptomic data of 3specimens of the sponge <i>Geodia </i>cf. <i>barretti </i>from Avilés canyon and Le Danois bank (Cantabrian Sea) was co-assembled with Trinity v2.0.9 and annotated with antiSMASH v4.1.0.<br>
DOI: 10.6084/m9.figshare.12280652
title: Dormouse Luminex data

description: Luminex (Cat. No. 48-630MAG) data sets for Liver, Brown adipose, and white adipose from garden dormouse fed diets with varying levels of linoleic and linolenic acid.
DOI: 10.6084/m9.figshare.12280631
title: PDX mouse cells H3K27me3 scChIP-seq matrices

description: Mouse stromal cells from PDX count matrices reformatted to be inputed in ChromSCape (https://github.com/vallotlab/ChromSCape), two of which had not been analyzed in our previous study (Grosselin et al., 2019, https://www.nature.com/articles/s41588-019-0424-9). The samples correspond to the mouse cells from patient-derived xenograft (PDX) originating from two different human donors. The HBCx-22 and HBCx-22-TamR datasets correspond to mouse cells from a pair of luminal ER+ breast PDXs: HBCx-22, responsive to Tamoxifen and HBCx-22-TamR, resistant to Tamoxifen. The HBCx-95 and HBCx-95-CapaR correspond to a triple-negative breast cancer (TNBC) tumor model of acquired resistance to chemotherapy. Row names of the matrices are 50,000-bp binned regions; Column names are barcodes corresponding to single cell; Cells contains raw counts, in mm10 reference.
DOI: 10.6084/m9.figshare.12280634
title: Dormouse NFkB PCR data

description: BAX, SOD2 and BCLXL gene expression data from liver, brown adipose tissue or white adipose tissue from dormice fed diets with intermediate, high or low levels of linoleic acid
DOI: 10.6084/m9.figshare.12280634.v1
title: Dormouse NFkB PCR data

description: BAX, SOD2 and BCLXL gene expression data from liver, brown adipose tissue or white adipose tissue from dormice fed diets with intermediate, high or low levels of linoleic acid
DOI: 10.6084/m9.figshare.12280652.v1
title: Dormouse Luminex data

description: Luminex (Cat. No. 48-630MAG) data sets for Liver, Brown adipose, and white adipose from garden dormouse fed diets with varying levels of linoleic and linolenic acid.
DOI: 10.6084/m9.figshare.12280631.v2
title: PDX mouse cells H3K27me3 scChIP-seq matrices

description: Mouse stromal cells from PDX count matrices reformatted to be inputed in ChromSCape (https://github.com/vallotlab/ChromSCape), two of which had not been analyzed in our previous study (Grosselin et al., 2019, https://www.nature.com/articles/s41588-019-0424-9). The samples correspond to the mouse cells from patient-derived xenograft (PDX) originating from two different human donors. The HBCx-22 and HBCx-22-TamR datasets correspond to mouse cells from a pair of luminal ER+ breast PDXs: HBCx-22, responsive to Tamoxifen and HBCx-22-TamR, resistant to Tamoxifen. The HBCx-95 and HBCx-95-CapaR correspond to a triple-negative breast cancer (TNBC) tumor model of acquired resistance to chemotherapy. Row names of the matrices are 50,000-bp binned regions; Column names are barcodes corresponding to single cell; Cells contains raw counts, in mm10 reference.
DOI: 10.6084/m9.figshare.12280556
title: Data Sets for "A Hybrid Gravity and Route Choice Model to Assess Vector Traffic in Large-Scale Road Networks"

description: Data sets compiled for the study to assess boater traffic to British Columbia
DOI: 10.6084/m9.figshare.12280631.v1
title: PDX mouse cells H3K27me3 scChIP-seq matrices

description: Mouse stromal cells from PDX count matrices reformatted to be inputed in ChromSCape (https://github.com/vallotlab/ChromSCape), two of which had not been analyzed in our previous study (Grosselin et al., 2019, https://www.nature.com/articles/s41588-019-0424-9). The samples correspond to the mouse cells from patient-derived xenograft (PDX) originating from two different human donors. The HBCx-22 and HBCx-22-TamR datasets correspond to mouse cells from a pair of luminal ER+ breast PDXs: HBCx-22, responsive to Tamoxifen and HBCx-22-TamR, resistant to Tamoxifen. The HBCx-95 and HBCx-95-CapaR correspond to a triple-negative breast cancer (TNBC) tumor model of acquired resistance to chemotherapy. Row names of the matrices are 50,000-bp binned regions; Column names are barcodes corresponding to single cell; Cells contains raw counts, in mm10 reference.
DOI: 10.6084/m9.figshare.12280541
title: DepMap 20Q2 Public

description: This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 769 cell lines, the RNAseq data includes 1304 cell lines, and the copy number data includes 1745 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.<br>v2 changes: The README file in version 1 was missing descriptions for the files Achilles_raw_readcounts_failures.csv and Achilles_logfold_change_failures.csv. Version 2 corrects this.<br>v3 changes: Reverted to the README file from v1, because there are no _failures.csv files<br>v4 changes: The CCLE_expression file was in TSV format, and now is in CSV format. RNAseq data have been altered for three cell lines (see README for more details).
DOI: 10.6084/m9.figshare.12280556.v2
title: Data Sets for "A Hybrid Gravity and Route Choice Model to Assess Vector Traffic in Large-Scale Road Networks"

description: Data sets compiled for the study to assess boater traffic to British Columbia
DOI: 10.6084/m9.figshare.12280538
title: Alpha市地铁货运网络规划完整O-D需求预测数据

description: <b>附录数据</b><b></b><br><b>提交文章手稿：</b>不确定环境下的双层地铁货运网络布局优化方法 (Layout Optimization of Two-Echelon Metro-based Underground Logistics Network with Uncertain Scenarios)<br><b>投稿期刊：</b>管理工程学报 (Jonrnal of Industrial Engineering/Engineering Management)
DOI: 10.6084/m9.figshare.12280556.v1
title: Data Sets for "A Hybrid Gravity and Route Choice Model to Assess Vector Traffic in Large-Scale Road Networks"

description: Data sets compiled for the study to assess boater traffic to British Columbia
DOI: 10.6084/m9.figshare.12280538.v1
title: Alpha市地铁货运网络规划完整O-D需求预测数据

description: <b>附录数据</b><b></b><br><b>提交文章手稿：</b>不确定环境下的双层地铁货运网络布局优化方法 (Layout Optimization of Two-Echelon Metro-based Underground Logistics Network with Uncertain Scenarios)<br><b>投稿期刊：</b>管理工程学报 (Jonrnal of Industrial Engineering/Engineering Management)
DOI: 10.6084/m9.figshare.12280541.v1
title: DepMap 20Q2 Public

description: This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 769 cell lines, the RNAseq data includes 1304 cell lines, and the copy number data includes 1745 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.
DOI: 10.6084/m9.figshare.12280541.v2
title: DepMap 20Q2 Public

description: This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 769 cell lines, the RNAseq data includes 1304 cell lines, and the copy number data includes 1745 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.<br>v2 changes: The README file in version 1 was missing descriptions for the files Achilles_raw_readcounts_failures.csv and Achilles_logfold_change_failures.csv. Version 2 corrects this.
DOI: 10.6084/m9.figshare.12280394
title: Galaxy11-[bigwigCompare_on_data_3_and_data_6].bigwig

description: Compare Irganozol
DOI: 10.6084/m9.figshare.12280313
title: Genomic annotations of Vazella pourtalesii symbionts

description: Interproscan annotations (interpro version 5.30-69.0) of microbial genomes assembled from metagenomic data of the glass sponge <i>Vazella pourtalesii</i> and surrounding seawater. <br>
DOI: 10.6084/m9.figshare.12280394.v1
title: Galaxy11-[bigwigCompare_on_data_3_and_data_6].bigwig

description: Compare Irganozol
DOI: 10.6084/m9.figshare.12280541.v3
title: DepMap 20Q2 Public

description: This dataset contains the results of Avana library CRISPR-Cas9 genome-scale knockout (prefixed with Achilles) as well as mutation, copy number and gene expression data (prefixed with CCLE) for cancer cell lines as part of the Broad Institute’s Cancer Dependency Map project. We have repackaged our fileset to include all quarterly-updating datasets produced by DepMap.<br>The Avana CRISPR-Cas9 genome-scale knockout data has expanded to include 769 cell lines, the RNAseq data includes 1304 cell lines, and the copy number data includes 1745 cell lines. Please see the README files for details regarding data processing pipeline procedures updates.<br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines. A detailed description of the pipelines and tool versions for CCLE expression can be found here: https://github.com/broadinstitute/gtex-pipeline/blob/v9/TOPMed_RNAseq_pipeline.md.<br>v2 changes: The README file in version 1 was missing descriptions for the files Achilles_raw_readcounts_failures.csv and Achilles_logfold_change_failures.csv. Version 2 corrects this.<br>v3 changes: Reverted to the README file from v1, because there are no _failures.csv files
DOI: 10.6084/m9.figshare.12280298
title: FigShare data for: Environmental stressors affect sex ratios in sexually dimorphic plant sexual systems

description: Data for:Varga S & Soulsbury CD (2020) Environmental stressors affect sex ratios in sexually dimorphic plant sexual systems. Plant Biology, https://doi.org/10.1111/plb.13125<br><br>This dataset includes the female frequency from each study (%), latitude and longitude and extracted bioclimatic variables. One sheet includes all studies, the second includes those where phylogenetic information were available.
DOI: 10.6084/m9.figshare.12280268
title: Data for Bründl et al. 2020 Developmental Science

description: Accompanying data for Bründl et al. 2020 Developmental Science "Systematic mapping of developmental milestones in wild chimpanzees"<br>
DOI: 10.6084/m9.figshare.12280298.v1
title: FigShare data for: Environmental stressors affect sex ratios in sexually dimorphic plant sexual systems

description: Data for:Varga S & Soulsbury CD (2020) Environmental stressors affect sex ratios in sexually dimorphic plant sexual systems. Plant Biology, https://doi.org/10.1111/plb.13125<br><br>This dataset includes the female frequency from each study (%), latitude and longitude and extracted bioclimatic variables. One sheet includes all studies, the second includes those where phylogenetic information were available.
DOI: 10.6084/m9.figshare.12280073
title: Details of Springer Nature Computer Science conference proceedings (2015-2020)

description: This dataset contains details such as conference name, dates, book DOI, peer review type, submission and accept figures for the Springer Nature conference series in the Computer Science subject collection (2015 - April 2020). This includes, for example, Lecture Notes in Computer Sciences conferences.
DOI: 10.6084/m9.figshare.12280028
title: Sequencing data, and experimental and clinical data

description: Data of the study<br>
DOI: 10.6084/m9.figshare.12280073.v1
title: Details of Springer Nature Computer Science conference proceedings (2015-2020)

description: This dataset contains details such as conference name, dates, book DOI, peer review type, submission and accept figures for the Springer Nature conference series in the Computer Science subject collection (2015 - April 2020). This includes, for example, Lecture Notes in Computer Sciences conferences.
DOI: 10.6084/m9.figshare.12280016
title: Gold Futures Trading Volume

description: The sample data consist of Daily Trading Volumes of 50 Baht Gold Futures,10 Baht Gold Futures, Gold-D, and Gold Online Futures from the period November 5, 2018 to February 27, 2019
DOI: 10.6084/m9.figshare.12280004
title: Phyloseq objects

description: Phyloseq objects provided<br><br>“Reduced” refers to a data sets reduced (from the full routine biochemical profiling) to the variables that were valid to use and of interest<br><br>“dc” refers to manual contaminant check and removal in the oral and nasal samples (in addition to contaminant removal with “decontam”)<br><br>FECES: <br>ps_all_allo_5_core_reduced_vars: First object for feces samples, absolute count data<br> Used in the alpha diversity script as initial input<br>ps_all_allo_5_core1_reduced: Second object for feces samples, absolute count data, alpha diversity measures calculated and added to sample data<br> Used as initial input for the multivariate script, in the ML script for the boxplots, and in LDA script<br>ps_all_allo_5_core1_reduced_vsd: Third object for feces samples, alpha diversity measures calculated and added to sample data, variance stabilized (vsd) count data<br> Used in the multivariate and ML scripts<br><br>ORAL:<br>ps_all_allo_oral_5_core_dc_reduced_vars: First object for oral samples, absolute count data<br> Used in the alpha diversity script as initial input<br><br>ps_all_allo_oral_5_core_dc1_reduced: Second object for oral samples, absolute count data, alpha diversity measures calculated and added to sample data<br> Used as initial input for the multivariate script, in the ML script for the boxplots, and in LDA script<br>ps_all_allo_oral_5_core_dc1_reduced_vsd: First object for oral samples, absolute count data<br> Used in the multivariate and ML scripts<br><br><br>NASAL: <br><br>ps_all_allo_nasal_5_core_dc_reduced_vars: First object for nasal samples, absolute count data<br> Used in the alpha diversity script as initial input<br><br>ps_all_allo_nasal_5_core_dc1_reduced: Second object for nasal samples, absolute count data, alpha diversity measures calculated and added to sample data<br> Used as initial input for the multivariate script, in the ML script for the boxplots, and in LDA script<br>ps_all_allo_nasal_5_core_dc1_reduced_vsd: First object for nasal samples, absolute count data<br> Used in the multivariate and ML scripts
DOI: 10.6084/m9.figshare.12280016.v1
title: Gold Futures Trading Volume

description: The sample data consist of Daily Trading Volumes of 50 Baht Gold Futures,10 Baht Gold Futures, Gold-D, and Gold Online Futures from the period November 5, 2018 to February 27, 2019
DOI: 10.6084/m9.figshare.12280028.v2
title: Sequencing data, and experimental and clinical data

description: Data of the study<br>
DOI: 10.6084/m9.figshare.12280028.v1
title: Sequencing data, and experimental and clinical data

description: Data of the study<br>
DOI: 10.6084/m9.figshare.12280007
title: Metadata record for: Fetal electrocardiograms, direct and abdominal with reference heartbeats annotations

description: This dataset contains key characteristics about the data described in the Data Descriptor Fetal electrocardiograms, direct and abdominal with reference heartbeats annotations. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12279938
title: Metadata record for: CassavaMap, a fine-resolution disaggregation of cassava production and harvested area in Africa in 2014

description: This dataset contains key characteristics about the data described in the Data Descriptor CassavaMap, a fine-resolution disaggregation of cassava production and harvested area in Africa in 2014. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12280007.v1
title: Metadata record for: Fetal electrocardiograms, direct and abdominal with reference heartbeats annotations

description: This dataset contains key characteristics about the data described in the Data Descriptor Fetal electrocardiograms, direct and abdominal with reference heartbeats annotations. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12279938.v1
title: Metadata record for: CassavaMap, a fine-resolution disaggregation of cassava production and harvested area in Africa in 2014

description: This dataset contains key characteristics about the data described in the Data Descriptor CassavaMap, a fine-resolution disaggregation of cassava production and harvested area in Africa in 2014. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12279917
title: Source Data for Figure 6 of Jimenez et al. Methods 2020

description: Localization files for Figure 6 of:Jimenez, A., Friedl, K., Leterrier, C. (2020). About samples, giving examples: Optimized Single Molecule Localization Microscopy Methods 174(), 100-114. <br>Multicolor STORM and DNA-PAINT images of immunostained COS cells. A. 3-color image obtained by sequential acquisition of actin by STORM (phalloidinAF647, gray in overlay), microtubules (two anti-α-tubulin antibodies, green on overlay) and clathrin-coated pits (anti-clathrin light chain, red on overlay) by DNAPAINT (Atto655 imager). Bottom panels are zoomed images corresponding to the highlighted area on the full image. B. 5-color image obtained in three steps: first DNA-PAINT of actin (phalloidin-Atto488, green in overlay), microtubules (two anti-α-tubulin antibodies, Atto565 imager, magenta on overlay) and mitochondria (anti TOM20, Atto655 imager, red on overlay), then DNA-PAINT of intermediate filaments (anti-vimentin, Cy3B imager, blue on overlay), then DNA-PAINT of clathrin (anti-clathrin light chain, Cy3B imager, cyan on overlay).