cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7033577.v7
title: Deep image reconstruction from human brain activity

description: Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLos Comput Biol. (bioRxiv preprint)<br>Here we provide DNN features decoded from human brain activity (decodedfeatures-*.mat files) as well as preprocessed fMRI data used for the decoding (sub-*.h5 files).<br><br>Raw fMRI data are available at OpenNeuro.<br><br>Demo code is available at GitHub.<br><b>History</b><b><br></b>2020-05-18: The following fMRI data files of artificial images, letters, and imagery experiments contained incorrect samples and were fixed.<br>- sub-01_perceptionLetterImage_original_VC.h5- sub-02_perceptionArtificialImage_original_VC.h5<br>- sub-02_perceptionLetterImage_original_VC.h5- sub-02_imagery_original_VC.h5<br>- sub-03_perceptionArtificialImage_original_VC.h5- sub-03_perceptionLetterImage_original_VC.h5- sub-03_imagery_original_VC.h5<br>
DOI: 10.6084/m9.figshare.12130980.v32
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) 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.v31
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) 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.11819655.v1
title: Cloacal Swab Microbiota

description: The dataset includes sequence data and metadata files for a study comparing cecal versus cloacal microbiota from chicken.
DOI: 10.6084/m9.figshare.8273165.v1
title: data_paper_seas_mean_IndoSeas

description: Matlab variables obtained from the numerical simulations. The grid variables correspond to the MITgcm grid variables.<br>
DOI: 10.15161/oar.it/74483
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.3761562.v1568
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.v1567
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.v1571
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.v1570
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.12630773.v4
title: Zootaxa articles cited as TSV file

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Zootaxa article that cites that work, "guid-date" is the date of publication of the Zootaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same <i>Zootaxa</i> article.<br>
DOI: 10.6084/m9.figshare.12630773.v3
title: Zootaxa articles cited as TSV file

description: The TSV file has a header row mostly of CSL terms (e.g., "title", "container-title", "DOI"). The first column ("guid") is the DOI of the Zootaxa article that cites that work, "guid-date" is the date of publication of the Zootaxa article. The final column "unstructured" is the original citation string. Each data row is a single work that is cited, the "guid" field groups together works cited by the same <i>Zootaxa</i> article.<br>
DOI: 10.6084/m9.figshare.12789986.v1
title: Data from: Warming effects on consumption and intraspecific interference competition depend on predator metabolism.

description: PredID simply codes for the two species.Poe is the beetle Poecilus versicolor and Pter is Pterostichus melanarius. temp is temperature (10 and 20° Celsius).PredNo the number of predators in the experiment.Initial the initial number of prey and Killed the number of prey still alive after 24 hours. Mass is the mean mass of predators in the experiment.~~~~~~~~~~~~~~~~~~~~~~~~1. Model analyses show that the stability of population dynamics and food web persistence increase with the strength of interference competition. Despite this critical importance for community stability, little is known about how external factors such as the environmental temperature affect intraspecific interference competition.2. We aimed to fill this void by studying the functional responses of two ground beetle species of different body size, Pterostichus melanarius and Poecilus versicolor. These functional response experiments were replicated across four predator densities and two temperatures to address the impact of temperature on intraspecific interference competition.3. We generally expected that warming should increase the speed of movement, encounter rates and in consequence interference among predator individuals. In our experiment, this expectation was supported by the results obtained for the larger predator, P. melanarius, whereas the opposite pattern characterized the interference behaviour of the smaller predator P. versicolor.4. These results suggest potentially nontrivial implications for the effects of environmental temperature on intraspecific interference competition, for which we propose an explanation based on the different sensitivity to warming of metabolic rates of both species. As expected, increasing temperature led to stronger interference competition of the larger species, P. melanarius, which exhibited a weaker increase in metabolic rate with increasing temperature. The stronger increase in the metabolic rate of the smaller predator, P. versicolor, had to be compensated by increasing searching activity for prey, which did not leave time for increasing interference.5. Together, these results suggest that any generalization how interference competition responds to warming should also take the species’ metabolic response to temperature increases into account.
DOI: 10.6084/m9.figshare.12792029.v1
title: OCT raw scans - HR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12792029.v8
title: OCT raw scans - HR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12792029.v7
title: OCT raw scans - HR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12792029.v10
title: OCT raw scans - HR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12792029.v9
title: OCT raw scans - HR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12795152.v2
title: OCT raw scans - LR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.3761562.v1574
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.v1573
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.12798131.v2
title: DATABASE-2.xlsx

description: This database presents the study data Inspiratory muscle training improves the swimming performance of competitive young sprint swimmers
DOI: 10.6084/m9.figshare.11940606.v3
title: Supplementary data for Frontzek et al.

description: Uncropped western blot images from "Rationally designed neuroprotective antibodies against prions"
DOI: 10.6084/m9.figshare.12795152.v4
title: OCT raw scans - LR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12795152.v6
title: OCT raw scans - LR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels. HR scans are 900 x 900 x 1024 pixels, andtheir filename contains B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm each. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12795152.v5
title: OCT raw scans - LR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.12231083.v2
title: Underlying data Table 1.xlsx

description: Standardized data extraction form with data collected. Each column represents an entry of the data extraction form used by the authors. Each row contains the data of a journal included in the analysis. <br>
DOI: 10.6084/m9.figshare.12805127.v2
title: c1471 clone 3 11 weeks sample 1 s11 r1 001 .bamBAM files after alignmentRaw data

description: Raw data after alignment of sequenced mRNA
DOI: 10.6084/m9.figshare.12805127.v1
title: c1471 clone 3 11 weeks sample 1 s11 r1 001 .bamBAM files after alignmentRaw data

description: Raw data after alignment of sequenced mRNA
DOI: 10.6084/m9.figshare.12805346.v2
title: FAIRtracks example JSON document v1.0.2

description: FAIRtracks is a set of JSON Schemas developed through the ELIXIR implementation study: "FAIRification of Genomic Tracks", as a minimal standard for genomic track metadata.The FAIRtracks example JSON document is the example document generated as part of the FAIRtracks draft standard for track metadata.
DOI: 10.6084/m9.figshare.12805346.v1
title: FAIRtracks example JSON document

description: FAIRtracks is a set of JSON Schemas developed through the ELIXIR implementation study: "FAIRification of Genomic Tracks", as a minimal standard for genomic track metadata.The FAIRtracks example JSON document is the example document generated as part of the FAIRtracks draft standard for track metadata.