cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4872842.v1
title: Canid Jaw - Pipecreek Sinkhole

description: Fossil Canid jaw <br>Dataset includes model:<br>-Mesh (*.obj)-Material (*.mtl)-Texture (*.jpg)<br>and photo collection used to generate model (*.zip)<br>Data for publication Farlow et al 2021 "A set-up for rapid screen-washing unconsolidated sediments for salvage-collecting large vertebrate fossils (Pipe Creek Sinkhole, late Neogene, Grant County, Indiana, USA)", Proceedings of the Indiana Academy of Science<br><br>
DOI: 10.6084/m9.figshare.3761562.v1933
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1932
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.13642016.v1
title: Quantification of the calcium signaling deficit in muscles devoid of triadin

description: <b>Data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request.</b>
DOI: 10.6084/m9.figshare.15063048.v1
title: lncRNA_Data

description: circRNA dataset
DOI: 10.6084/m9.figshare.14552232.v2
title: Sexual Assault

description: The NC Domestic Violence dataset is from https://ncadmin.nc.gov/about-doa/divisions/council-for-women/women-statistics.<br>Here we focus on the datasets corresponding to 2004-2019.<br><br>The curated datasets are included here along with a research question and guiding questions.<br>See the codebook for full details.
DOI: 10.6084/m9.figshare.14449773.v1
title: Clinical and pathologic features of a feline SARS-CoV-2 infection model are analogous to acute COVID-19 in humans

description: Supplementary Materials, Raw Data, and Statistical Analyses for "Clinical and pathologic features of a feline SARS-CoV-2 infection model are analogous to acute COVID-19 in humans"
DOI: 10.6084/m9.figshare.13498989.v1
title: Identification of interorganelle crosstalk effect on various diseases especially on kidney diseases: A systematic review and meta-analysis

description: Dataset of this systematic review and meta-analysis put in figshare repository.
DOI: 10.6084/m9.figshare.15081888.v1
title: Digitisation of Scofield Photoionisation Cross Section Tabulated Data CSV Format

description: This document provides a digitised version of the tabulated atomic subshell photoionisation cross section data calculated by J. H. Scofield (1973) from Lawrence Livermore National Laboratory (LLNL). The data from the original paper was mined, checked and deposited a CSV file format for easy access.
DOI: 10.6084/m9.figshare.15090003.v1
title: Digitisation of Trzhaskovskaya Dirac-Fock Photoionisation Parameters for HAXPES Applications CSV format

description: This document provides a digitised version of the tabulated Dirac-Fock photoionisation parameters for HAXPES applications (2018), calculated by M.B. Trzhaskovskaya and V.G. Yarzhemsky. The data from the original paper was mined, checked and deposited into a CSV file format for easy access.
DOI: 10.6084/m9.figshare.14787954.v3
title: Data for "Turbulence Characteristics of Thunderstorms from the Initial Generation to the Occurrence of the First Flash and of Non-Thunderstorms"

description: In a manuscript entitled "Turbulence Characteristics of Thunderstorms from the Initial Generation to the Occurrence of the First Flash and of Non-Thunderstorms". The data of our results are including in the Data_for_Fig_0x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.<br>
DOI: 10.6084/m9.figshare.14787954.v2
title: Data for "Turbulence Characteristics of Thunderstorms from the Initial Generation to the Occurrence of the First Flash and of Non-Thunderstorms"

description: In a manuscript entitled "Turbulence Characteristics of Thunderstorms from the Initial Generation to the Occurrence of the First Flash and of Non-Thunderstorms". The data of our results are including in the Data_for_Fig_0x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.<br>
DOI: 10.6084/m9.figshare.14629719.v1
title: Tsunami data Kermadec 8.1

description: Tide-Gauge and DART time series
DOI: 10.6084/m9.figshare.12831005.v8
title: Cornejo et al., 2021

description: Supplemental material1) Raw and corrected data2) Normalized data3) Johnson transformed data4) T-test p and q values comparisons5) Pearson correlation r, p and q values6) Scripts for PCA after PLSDA
DOI: 10.6084/m9.figshare.14815140.v2
title: Data from: Translating area-based conservation pledges into efficient biodiversity protection outcomes

description: Prioritisation rank and mask data used for the figures of the article titled "Translating area-based conservation pledges into efficient biodiversity protection outcomes".<br>Please see README file for usage notes.
DOI: 10.6084/m9.figshare.14815140.v1
title: Data from: Translating area-based conservation pledges into efficient biodiversity protection outcomes

description: Prioritisation rank and mask data used for the figures of the article titled "Translating area-based conservation pledges into efficient biodiversity protection outcomes".<br>Please see README file for usage notes.
DOI: 10.6084/m9.figshare.15106227.v1
title: Metagenome-assembled genomes from Monte Cristo Cave, Diamantina, Brazil

description: Metagenome-assembled genomes from Monte Cristo Cave, Diamantina, Brazil
DOI: 10.6084/m9.figshare.15104916.v3
title: GPP,GPPsun,GPPshade 1992

description: Here we produced three global-scale products GPP, GPP<sub>shade</sub>, and GPP<sub>sun</sub> at a spatial resolution of 0.05°for three temporal scales (8-day, monthly and annual) in 1992 using an improved two-leaf light use efficiency model with an added CO<sub>2</sub> concentration regular scalar and the modified temperature scalar.These products are driven by the GLOBMAP leaf area index, Climatic Research Unit and Japanese reanalysis (CRUJRA) meteorological data, and Climate Change Initiative Land Cover (CCI-LC) data.
DOI: 10.6084/m9.figshare.15104916.v2
title: GPP,GPPsun,GPPshade 1992

description: Here we produced three global-scale products GPP, GPP<sub>shade</sub>, and GPP<sub>sun</sub> at a spatial resolution of 0.05°for three temporal scales (8-day, monthly and annual) in 1992 using an improved two-leaf light use efficiency model with an added CO<sub>2</sub> concentration regular scalar and the modified temperature scalar.These products are driven by the GLOBMAP leaf area index, Climatic Research Unit and Japanese reanalysis (CRUJRA) meteorological data, and Climate Change Initiative Land Cover (CCI-LC) data.
DOI: 10.6084/m9.figshare.3761562.v1943
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1942
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.15121878.v2
title: Naked mole-rat and Damaraland mole-rat exhibit lower respiration in mitochondria, cellular and organismal levels

description: <b>Raw data for Naked mole-rat and Damaraland mole-rat exhibit lower respiration in mitochondria, cellular and organismal levels</b><b></b>
DOI: 10.6084/m9.figshare.15121878.v1
title: Naked mole-rat and Damaraland mole-rat exhibit lower respiration in mitochondria, cellular and organismal levels

description: <b>Raw data for Naked mole-rat and Damaraland mole-rat exhibit lower respiration in mitochondria, cellular and organismal levels</b><b></b>
DOI: 10.6084/m9.figshare.15122373.v1
title: Generated chains for Champagne

description: Chain files generated by doBlastChainNet for Champagne. All other chain files were found at https://hgdownload.cse.ucsc.edu/goldenPath/.
DOI: 10.6084/m9.figshare.14792178.v1
title: Core-genome phylogeny of 40 Agrobacterium spp.

description: A phylogenomic database was built with the Pantagruel pipeline [29], using the ‘usingGeneRax’ branch of the code (https://github.com/flass/pantagruel/tree/usingGeneRax). The following pipeline tasks were performed: init, 00-03 and 05, leading to the clustering of homologous gene families with MMSeqs2,the alignment of their nucleotide sequences with ClustalOmega, and the computation of a maximum-likelihood (ML) phylogenetic tree with RAxML 8.1.2 based on the concatenation of 1,089 core-genome gene alignments
DOI: 10.6084/m9.figshare.14792100.v1
title: MLSA phylogeny of 40 Agrobacterium spp.

description: For this MLSA of 40 Agrobacterium spp. strains, we extracted the CDS alignments of parE, gyrB, recA, and rpoB from the Pantagruel pangenome database and concatenated into a multi-locus alignment, totaling 9,968 positions. ML Phylogenies were then inferred based on these alignments with RAxML-NG 1.0.0 with the options ‘--model GTR+G4 --all’, implying the use of the model GTR+FO+G4m, and that 20 independent inferences were run, starting with 10 random trees and 10 parsimony-optimized tree, and retaining the the best ML tree from these 20 inferences. Branch supports were estimated with 200 Felsentein bootstrap trees.<br>
DOI: 10.6084/m9.figshare.12130980.v106
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.12130980.v105
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.14428346.v4
title: Fig. 2d-MFI

description: MICA expression on A549 and Raji MICA001 vs EGFR and CD20 expression
DOI: 10.6084/m9.figshare.14428346.v3
title: Fig. 2d-MFI

description: MICA expression on A549 and Raji MICA001 vs EGFR and CD20 expression
DOI: 10.6084/m9.figshare.14431106.v2
title: Extended data Fig. 2b SUPPRIME

description: MFI for MICAB1 mAb staining at the surface of Raji or C1R cells transfected with the indicated MICA alleles (*001, *004, *007, *008), MICB*002, ULBP1 or the empty vector (Neo).<br>19E9 = MICAB1 Antibody
DOI: 10.6084/m9.figshare.14431106.v1
title: Extended data Fig. 2b

description: MFI for MICAB1 mAb staining at the surface of Raji or C1R cells transfected with the indicated MICA alleles (*001, *004, *007, *008), MICB*002, ULBP1 or the empty vector (Neo).<br>19E9 = MICAB1 Antibody
DOI: 10.6084/m9.figshare.14431136.v2
title: Extended Fig. 3b SUPPRIME

description: C1R cells expressing different MICA alleles were incubated with PBMCs from healthy donors for 4 hours. A range of doses of MICAB1-Fc silent or isotype control mAb was added to the cells. The variation of mean fluorescence intensity (MFI) for NKG2D expression at the cell surface is shown relative to standard conditions without the C1R tumor (100%) after overnight culture. The data shown are representative of three independent experiments on CD8<sup>+</sup> T cells<br>MICAB1 = 19E9 antibody
DOI: 10.6084/m9.figshare.14431136.v1
title: Extended Fig. 3b

description: C1R cells expressing different MICA alleles were incubated with PBMCs from healthy donors for 4 hours. A range of doses of MICAB1-Fc silent or isotype control mAb was added to the cells. The variation of mean fluorescence intensity (MFI) for NKG2D expression at the cell surface is shown relative to standard conditions without the C1R tumor (100%) after overnight culture. The data shown are representative of three independent experiments on CD8<sup>+</sup> T cells<br>MICAB1 = 19E9 antibody
DOI: 10.6084/m9.figshare.14945814.v1
title: dataset_not recoded

description: results of survey<br>
DOI: 10.6084/m9.figshare.13487295.v8
title: data - draining tension pneumomediastinum.xlsx

description: It combined the local anatomical characteristics to describe a method in a normative manner of draining tension pneumomediastinum.
DOI: 10.6084/m9.figshare.13487295.v7
title: data - draining tension pneumomediastinum.xlsx

description: It combined the local anatomical characteristics to describe a method in a normative manner of draining tension pneumomediastinum.
DOI: 10.6084/m9.figshare.14717997.v1
title: Requirements for beneficial electrochemical restructuring: A model study on a cobalt oxide in selected electrolytes

description: Dataset for the figures in the manuscript "Requirements for beneficial electrochemical restructuring: A model study on a cobalt oxide in selected electrolytes"<br>
DOI: 10.6084/m9.figshare.14586003.v1
title: JCST_Replication

description: 1. data.csv contains features and prediction classes applied to train our machine learners. Each row represents features of one developer.2. The .conf files are configurations to perform Codeface4Smells detections. The manual and source code of the tool is available in: https://github.com/maelstromdat/CodeFace4Smells3. The sentiment dataset is available in: http://ansymore.uantwerpen.be/system/files/uploads/artefacts/alessandro/MSR16/archive3.zip<br>
DOI: 10.6084/m9.figshare.3761562.v1948
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1947
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.15152334.v2
title: Metagenome assembled genomes (MAGs)

description: Metagenome assembled genomes (MAGs) generated by taking raw reads from 58 samples that were quality-score filtered, trimmed, adapters removed, entropy-filtered (entropy =0.3), and PhiX reads removed with the program BBDuk v.38.84. After quality control, the data were normalized with BBNorm v.38.84 to down-sample reads found at high depths and make the sequence coverage more even within each sample. For each sample, the normalized reads were assembled independently with MEGAHIT v.1.2.9. Each assembly was then binned individually using MaxBin 2.0 v.2.2.6. The metagenomic assembled genomes (MAGs) were then de-replicated and representative MAGs were selected with the program dRep v.2.4. The quality of MAGs was assessed using CheckM v1.0.13 and those with at least 69% completion and &lt;10% contamination were selected for further analysis. The remaining MAGs were compared to the non-redundant NCBI database using BLASTn 2.5.0+ to identify eukaryotic sequences, which were then filtered from the assemblies. RefineM v0.1.2 was also used to remove contigs by characterizing contigs that diverged from genomic properties within each MAG, such as G+C content, genome coverage, and tetranucleotide frequencies. Further screening of bins was conducted with CheckM’s SSU Finder to identify 16S rRNA genes. Genes that did not match the taxonomic identification of the bins were removed. CheckM was run again to obtain the quality and completion of the final bins.
DOI: 10.6084/m9.figshare.15153615.v1
title: Specimen direction

description: <b>New </b><b>P</b><b>aleomagnetic </b><b>C</b><b>onstraints on the</b><b> Cretaceous</b><b> </b><b>T</b><b>ectonic </b><b>F</b><b>ramework of</b><b> the</b><b> Antarctic Peninsula</b>
DOI: 10.6084/m9.figshare.15155022.v1
title: Full vaccination against COVID-19 is imperative to suppress SARS-CoV-2 delta variant mutation frequency

description: GISAID dataset of SARS-CoV-2 genomic sequences
DOI: 10.6084/m9.figshare.3761562.v1950
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v1949
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14388446.v5
title: Assessing recycling, displacement, and environmental impacts using an economics-informed material system model - source data

description: Supplementary data for the publication "Assessing recycling, displacement, and environmental impacts using an economics-informed material system model"
DOI: 10.6084/m9.figshare.15085245.v13
title: Mammalian Craniofacial Epigenetics

description: BigWig and merged NarrowPeak/BroadPeak files from H3K27ac ChIP-seq and ATAC-seq datasets from the craniofacial regions of the human and mouse embryos. Human samples were generated using genome version Hg38.
DOI: 10.6084/m9.figshare.15085245.v12
title: Mammalian Craniofacial Epigenetics

description: BigWig and merged NarrowPeak/BroadPeak files from H3K27ac ChIP-seq and ATAC-seq datasets from the craniofacial regions of the human and mouse embryos. Human samples were generated using genome version Hg38.