cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13190735.v3
title: Genotype data

description: These data include 1. the genotypes for all mice at ~110,000 typed variants; genotypes are represented as a probability vector quantifying the founder of origin of each variant2. the kinship between all pairs of mice, both using all chromosomes, and leaving each chromosome out (for QTL mapping)
DOI: 10.6084/m9.figshare.3761562.v1800
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.v1799
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.14183114.v3
title: ambient noise data

description: The calculated cross-correlation functions in SAC format of all OBS pairs
DOI: 10.6084/m9.figshare.14183114.v2
title: ambient noise data

description: The calculated cross-correlation functions in SAC format of all OBS pairs
DOI: 10.6084/m9.figshare.6067385.v2
title: data_for_jgr.rar

description: data for 2017JC013705R
DOI: 10.6084/m9.figshare.6067385.v1
title: data_for_jgr.rar

description: data for 2017JC013705R
DOI: 10.48370/ofd/rrm8ui/7stai5
title: Betula pendula_liście zainfekowane Trichoderma asperellum - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.48370/ofd/rrm8ui
title: Betula pendula_liście zainfekowane Trichoderma asperellum - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.6084/m9.figshare.14191181.v1
title: Data used in "Tidal sandwaves promote oceanic vertical mixing and frontogenesis"

description: These datasets include turbulence and current velocity profiles, bottom-tracking depth from the shipboard ADCP collected during 24 field campaigns onboard R/V Isana, CMES, Ehime University, in 2012–2019.All data are provided as the MATLAB binary file (*.mat), in which observation time is offered in the MATLAB "datenum" format. <br>"data_yyyymmdd.mat" includes turbulence and current velocity profile data measured by a microstructure turbulence profiler, TurboMAP-5 (JFE Advantech Co.) and 300-kHz acoustic Doppler current profiler (TRDI Workhorse Sentinel):data.TKEdisrate : TKE dissipation rate [W/kg]data.temperature : Water temperature [deg.C]data.salnity : Salinity [PSU]data.density : Water density [kg/m^3]data.time : Time when microstructure cast began [days in MATLAB datenum format]data.lon : Longitude when microstructure cast began [deg. E]data.lat : Latitude when microstructure cast began [deg. N]data.stationname : Name of the observation stationsdata.z_msp : Depth of the turbulence and CTD variables [m]<br>data.u_adcp : ADCP east velocity [m/s]data.v_adcp : ADCP north velocity [m/s]data.w_adcp : ADCP up velocity [m/s]data.echo_adcp : ADCP echo amplitude [count]data.time_adcp : ADCP sampling time [days in MATLAB datenum format]data.longitude_gps : GPS longitude [deg. E]data.latitude_gps : GPS latitude [deg. N]data.H_adcp : ADCP bottom-tracking depth (4-beam average) [m]data.z_adcp : Depth of the ADCP data [m]<br>"BTdepth_ADCP.mat" includes bottom tracking depth data collected by the shipboard ADCP of R/V <i>Isana</i>.data.H : Bottom-tracking depth [m]data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.time : Sampling time of the data [days in MATLAB datenum format]<br>"M2tidecoef.mat" includes harmonic constants for M2 barotropic velocity at each station from the tide model by Guo et al. (2013):Guo, X., K. Harai, A. Kaneda, and H. Takeoka (2013), Simulation of tidal currents and nonlinear tidal interactions in the Seto Inland Sea, Japan. Rep. Res. Inst. Appl. Mech. Kyushu Univ., 145, 43–52. doi:10.15017/1526096<br>data.u_amp : Amplitude of the east velocity [m/s]data.u_phs : Greenwich phase of the east velocity [deg.]data.v_amp : Amplitude of the west velocity [m/s]data.v_phs : Greenwich phase of the north velocity [deg.]data.referencetime : Reference time for the phase (January 1, 2000)data.lon : Longitude of the data [deg. E]data.lat : Latitude of the data [deg. N]data.stationname : Name of the observation stations<br><br><br><br><br>
DOI: 10.6084/m9.figshare.12130980.v84
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.v83
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.12609125.v5
title: Soils and soilscapes of the Upper Volturno Basin: A detailed survey of a large intermontane basin in the Central-Southern Apennines, Italy: Supplementary data

description: Soil maps, soil unit and soil profile descriptions, soil analyses, background information, connected with soil map at scale 1:25,000 of the Upper Volturno Basin, Molise, Italy,
DOI: 10.6084/m9.figshare.12609125.v4
title: Soils and soilscapes of the Upper Volturno Basin: A detailed survey of a large intermontane basin in the Central-Southern Apennines, Italy: Supplementary data

description: Soil maps, soil unit and soil profile descriptions, soil analyses, background information, connected with soil map at scale 1:25,000 of the Upper Volturno Basin, Molise, Italy,
DOI: 10.6084/m9.figshare.14192291.v3
title: test_query_data

description: This is a test
DOI: 10.6084/m9.figshare.14192291.v5
title: Datasets Master thesis Hebnes 2021

description: This dataset contains featurized data of 25212 entries based on entries in the Materials Project (MP) that has a structure deemed similar to an ICSD-entry and has a bandgap higher than 0.1eV calculated by GGA in MP.
DOI: 10.6084/m9.figshare.14192291.v4
title: Dataset Master thesis Hebnes 2021

description: This dataset contains featurized data of 25212 entries based on entries in the Materials Project (MP) that has a structure deemed similar to an ICSD-entry and has a bandgap higher than 0.1eV calculated by GGA in MP.
DOI: 10.6084/m9.figshare.13482429.v3
title: Surface electromyographic signals - isometric explosive and ramped contractions

description: Participant text data of EMG signals and start signal from isometric explosive (EXP) and MVC ramped contractions.
DOI: 10.6084/m9.figshare.3761562.v1804
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.v1803
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.14183072.v2
title: Idealized simulations with Antarctic meltwater

description: Idealized simulations result, which is used for the present research, was attached as netCDF files. <br>Idealized ensemble experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) model CM2.1 coupled with the biogeochemical (BGC) model Tracers of Phytoplankton with Allometric Zooplankton version 2 (TOPAZv2) (https://www.gfdl.noaa.gov/earth-system-model/, Dunne et al., 2013). The version of GFDL-CM2.1-TOPAZ used here is the same as that used in Lim et al. (2018, 2019), in which detailed descriptions of the model configuration and initial conditions are given.<br>Three different simulations were conducted. The first was a long-term control simulation over 2000 years (CTRL) applying a fixed carbon dioxide (CO2) concentration in 1990 of 353 parts per million (ppm). The CTRL experiment in the present study was analyzed only for the last 1000 years to avoid long-term drift. The other two experiments were global warming simulations that either included additional Antarctic meltwater forcing (GWMW) or excluded it (GW). These simulations were performed over 100 years with eight ensembles. The individual ensembles had different initial conditions taken from CTRL every 100 years. Both global warming simulations were prescribed by increasing atmospheric CO2 concentration at a rate of 1% year−1 until it doubled (706 ppm) from years 1 to 70 in the model, and then the CO2 concentration (706 ppm) was fixed until the end of the model integration.
DOI: 10.6084/m9.figshare.14183072.v1
title: Idealized simulations with Antarctic meltwater

description: Idealized simulations result, which is used for the present research, was attached as netCDF files. <br>Idealized ensemble experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) model CM2.1 coupled with the biogeochemical (BGC) model Tracers of Phytoplankton with Allometric Zooplankton version 2 (TOPAZv2) (https://www.gfdl.noaa.gov/earth-system-model/, Dunne et al., 2013). The version of GFDL-CM2.1-TOPAZ used here is the same as that used in Lim et al. (2018, 2019), in which detailed descriptions of the model configuration and initial conditions are given.<br>Three different simulations were conducted. The first was a long-term control simulation over 2000 years (CTRL) applying a fixed carbon dioxide (CO2) concentration in 1990 of 353 parts per million (ppm). The CTRL experiment in the present study was analyzed only for the last 1000 years to avoid long-term drift. The other two experiments were global warming simulations that either included additional Antarctic meltwater forcing (GWMW) or excluded it (GW). These simulations were performed over 100 years with eight ensembles. The individual ensembles had different initial conditions taken from CTRL every 100 years. Both global warming simulations were prescribed by increasing atmospheric CO2 concentration at a rate of 1% year−1 until it doubled (706 ppm) from years 1 to 70 in the model, and then the CO2 concentration (706 ppm) was fixed until the end of the model integration.
DOI: 10.6084/m9.figshare.14216093.v1
title: Global dataset.docx

description: a global soil respiration dataset with 106 independent measurements in grasslands from 32 published papers<br>
DOI: 10.6084/m9.figshare.7538846.v1
title: Protein_alignments_Fig2_Flores-Ríos_2018

description: Amino acid sequence alignments for predicted proteins encoded within conjugative gene clusters in public 30 acidithiobacilli genomes. Files are in FASTA format. <br>
DOI: 10.6084/m9.figshare.13650800.v2
title: 16S sequences derived from microbial enrichment traps

description: Illumina16S rRNA gene sequences for all samples recovered from nitrate amended microbial enrichment traps.
DOI: 10.6084/m9.figshare.13650800.v1
title: 16S sequences derived from microbial enrichment traps

description: Illumina16S rRNA gene sequences for all samples recovered from nitrate amended microbial enrichment traps.
DOI: 10.6084/m9.figshare.3761562.v1808
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.v1807
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.14219834.v2
title: 1 Second ActiLife Output with Low Frequency Filter Extension

description: <br>The data is from https://springernature.figshare.com/collections/Upper_limb_activity_of_twenty_myoelectric_prosthesis_users_and_twenty_healthy_anatomically_intact_adults_/4457855. Specifically, it is the ActiLife 1 second CSV files zipped from https://springernature.figshare.com/articles/dataset/1s_epoch_activity_count_data_stored_as_csv/7946168. It is simply repackaged so that individual files can be downloaded. Please cite the respective data there.<br>
DOI: 10.6084/m9.figshare.14219834.v1
title: 1 Second ActiLife Output

description: <br>The data is from https://springernature.figshare.com/collections/Upper_limb_activity_of_twenty_myoelectric_prosthesis_users_and_twenty_healthy_anatomically_intact_adults_/4457855. Specifically, it is the ActiLife 1 second CSV files zipped from https://springernature.figshare.com/articles/dataset/1s_epoch_activity_count_data_stored_as_csv/7946168. It is simply repackaged so that individual files can be downloaded. Please cite the respective data there.<br>
DOI: 10.6084/m9.figshare.14220134.v1
title: µCT Data for Correlophus ciliatus tail 114324

description: µCT data for <i>Correlophus ciliatus</i> tails.
DOI: 10.5281/zenodo.5788013
title: CESM model results - Effect of nitrogen limitation and soil processes on Holocene greening of the Sahara

description: The model results are made in EAPL, Yonsei University, South Korea (https://eapl.yonsei.ac.kr). The purpose of the simulations were to find out the effect of nitrogen limitation and soil processes on Holocene greening of the Sahara. CESM model v1.2 was used for this simulation.
DOI: 10.5281/zenodo.5788012
title: CESM model results - Effect of nitrogen limitation and soil processes on Holocene greening of the Sahara

description: The model results are made in EAPL, Yonsei University, South Korea (https://eapl.yonsei.ac.kr). The purpose of the simulations were to find out the effect of nitrogen limitation and soil processes on Holocene greening of the Sahara. CESM model v1.2 was used for this simulation.
DOI: 10.6084/m9.figshare.14247395.v1
title: Serial section series of Bathymodiolus puteoserpentis pediveliger (1555-16)

description: Serial section series of a non symbiotic Bathymodiolus puteoserpentis pediveliger. The mussel was sampled at the Semenov-2 vent field (13.513 N; 44.962 W) at 2446.5 m water depth in 2016. The mussel was fixed with 2.5% glutaraldehyde stored in PHEM-buffer. Sections (1.5 µm section thickness) were stained with toluidine blue.
DOI: 10.6084/m9.figshare.14252846.v1
title: Deng_ecosphere

description: <b>Intraspecific trait variation drives grassland species richness and productivity under changing precipitation</b>
DOI: 10.6084/m9.figshare.3761562.v1814
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.v1813
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.14258414.v1
title: Norfish Norway West Coast Herring Fishery 1368–1790

description: Norway has seen herring as an essential part of the its cultural heritage and is recorded as far back as the 11th century in Snorri Sturluson’s Kings’. The sea teemed with herring in this century according to Sturluson and played an important role in the growth of Norway. (The Herring Academy 2021)This dataset combines sources that provide export data for the Norwegian port of Bergen. These data are available in two tranches and typically provide values in barrels of salted herring that were transported from Bergen.
DOI: 10.6084/m9.figshare.12911870.v4
title: Data and software code for Bayesian mixed latent Markov models for binary diagnostic data.

description: This is data from multiple diagnostic tests (4 qPCR assays, 1 stool culture) for Salmonella infection as well as JAGS / R code to analyse the data. Each test returns a positive / negative result. The software implements a latent Markov model.<br>Data provided under a CC BY 4.0 license, software under an MIT license.<br>Data files used by the uploaded software code:* salexpoLIMSDataSetComplete.csv* TAC Results_4Marc TAC TTR TAC InvA Ct For Correlation.csv* TTR & InvA master file Ct for correlation.csv<br>* TTRInvASensitivity20170724_corrected.csv<br><br>Raw data:* TAC Results_TAC-TTR_TAC-InvA_I_Ct ValuesTAC Results_TAC-TTR_TAC-InvA_IC_Ct-values.csv* Salmonella_Detection_Stool_TTR_InvA_raw_data.xlsx<br>BLAST results:<br>* ttr_InvA_salmonella genome_ncbi_blast.csv<br>
DOI: 10.6084/m9.figshare.12911870.v3
title: Data and software code for Bayesian mixed latent Markov models for binary diagnostic data.

description: This is data from multiple diagnostic tests (4 qPCR assays, 1 stool culture) for Salmonella infection as well as JAGS / R code to analyse the data. Each test returns a positive / negative result. The software implements a latent Markov model.<br>Data provided under a CC BY 4.0 license, software under an MIT license.<br>Data files used by the uploaded software code:* salexpoLIMSDataSetComplete.csv* TAC Results_4Marc TAC TTR TAC InvA Ct For Correlation.csv* TTR & InvA master file Ct for correlation.csv<br>* TTRInvASensitivity20170724_corrected.csv<br><br>Raw data:* TAC Results_TAC-TTR_TAC-InvA_I_Ct ValuesTAC Results_TAC-TTR_TAC-InvA_IC_Ct-values.csv* Salmonella_Detection_Stool_TTR_InvA_raw_data.xlsx<br>
DOI: 10.48370/ofd/zo7kdg/kndmxp
title: Betula pendula_liście zainfekowane Trichoderma asperellum oraz Phytophthora plurivora - ekstrakt substancji lotnych.pdf

description: :unav
DOI: 10.6084/m9.figshare.14286326.v1
title: Experiment with usnic acid_control and test samples

description: The LC-MS metabolomic data used to investigate the influence of usnic acid on mycobacteria<br>
DOI: 10.48370/ofd/zo7kdg
title: Betula pendula_liście zainfekowane Trichoderma asperellum oraz Phytophthora plurivora - ekstrakt substancji lotnych

description: ekstrakt substancji lotnych
DOI: 10.6084/m9.figshare.14283554.v2
title: Regional thermal hyperaemia in the human leg: insight into the role of thermosensitive mechanisms in the control of the peripheral circulation.

description: Complete data for study entitled: Regional thermal hyperaemia in the human leg: insight into the role of thermosensitive mechanisms in the control of the peripheral circulation.
DOI: 10.6084/m9.figshare.14283554.v4
title: ....

description: .......
DOI: 10.6084/m9.figshare.14283554.v3
title: Regional thermal hyperaemia in the human leg: insight into the role of thermosensitive mechanisms in the control of the peripheral circulation.

description: Complete data for study entitled: Regional thermal hyperaemia in the human leg: insight into the role of thermosensitive mechanisms in the control of the peripheral circulation.
DOI: 10.6084/m9.figshare.14248283.v1
title: Marine diazotrophs

description: A set of 48 genomes for marine diazotrophs.
DOI: 10.6084/m9.figshare.14291069.v2
title: Ocimum bacilicum (Kemangi) Intervention on powder and microencapsulated Spirulina platensis and its Bioactive Molecules

description: The following data are the results of the analysis of Ocimum bacilicum intervention on Spirulina platensis against bioactive compounds
DOI: 10.6084/m9.figshare.14291069.v1
title: Spirulina and its bioactive

description: The following data are the results of the analysis of Ocimum bacilicum intervention on Spirulina platensis against bioactive compounds