cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14336777.v2
title: Peltigera lichens from Patagonia National Park, Aysén Region, Chile (2019)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from Nothofagus pumilio forests and a Patagonia steppe in Patagonia National Park in 2019.
DOI: 10.6084/m9.figshare.14336777.v1
title: Peltigera lichens from Patagonia National Park, Aysén Region, Chile (2019)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from Nothofagus pumilio forests and a Patagonia steppe in Patagonia National Park in 2019.
DOI: 10.6084/m9.figshare.14337290.v3
title: Peltigera lichens from Navarino Island, Magallanes Region, Chile (2020, above tree line)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from a Patagonina steppe in Navarino Island in 2020.
DOI: 10.6084/m9.figshare.14337290.v2
title: Peltigera lichens from Navarino Island, Magallanes Region, Chile (2020, above tree line)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from a Patagonina steppe in Navarino Island in 2020.
DOI: 10.6084/m9.figshare.14336723.v2
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, forest)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from Nothofagus pumilio forests in the Karukinka Natural Park in 2020.
DOI: 10.6084/m9.figshare.14336723.v1
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, forest)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from Nothofagus pumilio forests in the Karukinka Natural Park in 2020.
DOI: 10.6084/m9.figshare.7857647.v1
title: Persistence of single species of symbionts across multiple closely-related host species

description: This dataset contains the MiSeq raw data and the processed representative sequences files.<br>
DOI: 10.6084/m9.figshare.14049590.v3
title: Dataset

description: This dataset contains the antecedents of the pre and post test project<br>
DOI: 10.6084/m9.figshare.14049590.v2
title: Dataset

description: This dataset contains the antecedents of the pre and post test project<br>
DOI: 10.6084/m9.figshare.14369828.v1
title: Investigación PA Dr Castillo promedio mediana.xlsx

description: data from hypertensive and hypertensive population
DOI: 10.6084/m9.figshare.14266037.v1
title: Accidentes de tránsito 2012 - 2018 Perú

description: Accidentes de tránsito 2012 - 2018 Perú
DOI: 10.6084/m9.figshare.3761562.v1830
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: 10.48370/ofd/izgfab/nsv2cs
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0718.tif

description: :unav
DOI: 10.6084/m9.figshare.3761562.v1829
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: 10.48370/ofd/izgfab
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 718

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3761562.v1832
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.v1831
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.12130980.v89
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: 10.48370/ofd/7jeyyi/yzaluc
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0699.tif

description: :unav
DOI: 10.6084/m9.figshare.12130980.v88
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: 10.48370/ofd/7jeyyi
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 699

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3761562.v1835
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.v1834
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.14401337.v1
title: Your pleasure is mine; when people share a musical emotional experience during a live music performance in a concert hall

description: This dataset includes EEG, behavioral, and physiological data of 15 people and was acquired in a hyperscanning study during a concert. To get further information please contact the following address: chabinthibault@gmail.com. <br>
DOI: 10.6084/m9.figshare.5738439.v8
title: Tattooed Human Mummies, List Version 4.0

description: The following presents a global data set identifying naturally- and deliberately preserved tattooed human remains from the archaeological record. The initial version of this list (Version 1.0) was compiled in 2016 for inclusion as Table 1 in the journal article “The World’s Oldest Tattoos” (Deter-Wolf et al. 2016). Benoît Robitaille, Lars Krutak, and Sébastien Galliot all contributed to that initial effort. Changes between versions are detailed below.<b><br></b>Entries in the data table are organized broadly by date, and rely on direct dating wherever possible. Where radiocarbon data is available, dates represent calibrated ranges. Each entry also includes documentation as to the associated archaeological culture, site, and significant source material. At the present time, unpublished and/or unprovenienced specimens from museums and private collections are not generally included in the data set.<b><br><br></b>Changes from Version 3.0 to 4.0 (2021):-Citations added -New entries for Andean and Hawai’ian examples-Reorganized Andean entries to account for unprovenienced examples -Collapsed single site entries except where dates differ -Hyperlinks improved for source material<b><br></b>Changes from Version 2.0 to 3.0 (2019):-Citations added-New entries for additional Andean and Egyptian examples-Added hyperlinks for source material<b><br></b>Changes from Version 1.0 to 2.0 (2017):-Deleted “Loulan Beauty” from Gumugou, Qäwrighul, China, who is not tattooed-Updated Egyptian data-Improved citations and corrected date ranges as necessary-New entries for Timbac Rockshelter and Andean examples
DOI: 10.48370/ofd/rc8qag/dt6ns0
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0713.tif

description: :unav
DOI: 10.48370/ofd/rc8qag
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 713

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14412845.v3
title: Images for real-time measurement.rar

description: the umsampled images for real-time measurement.
DOI: 10.6084/m9.figshare.14412845.v2
title: images for real-time measurement.rar

description: the umsampled images for real-time measurement.
DOI: 10.6084/m9.figshare.14402363.v2
title: rat intestinal data

description: We determined the 12-week NR supplementation regimen results on the gut microbiota composition of cecal samples of high-fat diet-fed (HFD) rats (jejunum, ileum, cecum, proximal and distal colon).
DOI: 10.48370/ofd/ugod64/hld2pm
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-2285 (2).tif

description: :unav
DOI: 10.48370/ofd/ugod64/odyny1
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-2285 (5).tif

description: :unav
DOI: 10.6084/m9.figshare.14402363.v1
title: rat cecal data

description: We determined the 12-week NR supplementation regimen results on the gut microbiota composition of cecal samples of high-fat diet-fed (HFD) rats (jejunum, ileum, cecum, proximal and distal colon).
DOI: 10.48370/ofd/ugod64/iquwn1
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-2285.tif

description: :unav
DOI: 10.48370/ofd/ugod64/0lokqq
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-2285 (4).tif

description: :unav
DOI: 10.48370/ofd/ugod64/74jndm
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-2285 (3).tif

description: :unav
DOI: 10.48370/ofd/ugod64
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 2285

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/j79s0s/71sgvu
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0442.tif

description: :unav
DOI: 10.48370/ofd/j79s0s
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 442

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14423690.v2
title: Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling

description: This diffuse fraction dataset offers 6-hourly distributions of the diffuse fraction of surface shortwave fluxes over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets. <br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. <br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018). <br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020). <br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES. <br><br>Diffuse fraction is assumed to be 1 in cloudy sky. Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere, but their variations do not affect the diffuse fraction of surface shortwave fluxes.<br><br>
DOI: 10.48370/ofd/eclf3k/imrpza
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0423.tif

description: :unav
DOI: 10.48370/ofd/eclf3k
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 423

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14417120.v1
title: Geneshot: Gene-level metagenomics identifies genome islands associated with immunotherapy response

description: Data associated with the manuscript: Geneshot: Gene-level metagenomics identifies genome islands associated with immunotherapy response
DOI: 10.6084/m9.figshare.13522136.v4
title: Dataset and analysis script of manuscript "Mate-guarding duration is mainly influenced by the risk of sperm competition and not by female quality in a golden orb-weaver spider"

description: Dataset and analysis script of manuscript "Mate-guarding duration is mainly influenced by the risk of sperm competition and not by female quality in a golden orb-weaver spider"<br>We provide the dataset as three separate .csv files and the script for analysis as an R script. All steps of data manipulation are included in the script.<br>We also provide Supplemental Table S1 with all models derived from the global model of the analysis.
DOI: 10.6084/m9.figshare.13522136.v3
title: Dataset and analysis script of manuscript "Mate-guarding duration is mainly influenced by the risk of sperm competition and not by female quality in a golden orb-weaver spider"

description: Dataset and analysis script of manuscript "Mate-guarding duration is mainly influenced by the risk of sperm competition and not by female quality in a golden orb-weaver spider"<br>We provide the dataset as three separate .csv files and the script for analysis as an R script. All steps of data manipulation are included in the script.<br>We also provide Supplemental Table S1 with all models derived from the global model of the analysis.
DOI: 10.48370/ofd/zz4a8l/nejuz1
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0425.tif

description: :unav
DOI: 10.48370/ofd/zz4a8l
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 425

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3761562.v1840
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.v1839
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: 10.48370/ofd/w6ugg9/0kbbxi
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-1425.tif

description: :unav
DOI: 10.48370/ofd/w6ugg9
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 1425

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.13435094.v4
title: Raw Sequence Data

description: <b></b>To verify some of the significant CpGs from the genome-wide analysis, we selected the target CpGs at the warfarin-associated genes. Thereafter, we used pyrosequencing to detect the methylation levels of CpGs with more samples in the validation cohort (low-dose group: 37; medium-dose group: 59; and high-dose group: 35). DNA was extracted from peripheral blood cells using the TIANamp Blood DNA Kit (Cat. #DP318, Tiangen, China) and DNA bisulfite conversion was conducted in a bisulfite batch with the EpiTect Bisulfite Kit (Cat. #59104, Qiagen, German); then, the converted DNA used as the template for PCR amplification. All primers for PCR and sequencing were designed by PyroMark Assay Design 2.0 Software (version 2.0.01.15; Qiagen, German). Pyrosequencing was carried out by PyroMark Q24 (Qiagen, German). The EpiTect Control DNA and Control DNA Set(Cat. #59695, QIAGEN; German) was used in the pyrosequencing. In addition,the PyroMark Q24 Validation Oligo(Cat. #979203, QIAGEN; German) was also used to check the performance of the PyroMark Q24 system.
DOI: 10.6084/m9.figshare.8132216.v2
title: Effect size

description: datasets for 'A distribution-based effect size is more reproducible than hypothesis testing for analyzing high throughput sequencing datasets' . Datasets are input count tables from published work and effect size calculations from the ALDEx2 tool for two different datasets. One is a transcriptome dataset, the other a 16S rRNA gene sequencing dataset. See the paper for sources.<br>
DOI: 10.6084/m9.figshare.8132216.v1
title: Effect size

description: datasets for 'A distribution-based effect size is more reproducible than hypothesis testing for analyzing high throughput sequencing datasets' . Datasets are input count tables from published work and effect size calculations from the ALDEx2 tool for two different datasets. One is a transcriptome dataset, the other a 16S rRNA gene sequencing dataset. See the paper for sources.<br>
DOI: 10.6084/m9.figshare.14178626.v1
title: Multiple sequence alignments - PRD1-adenovirus lineage

description: This dataset includes the protein multiple sequence alignments and the character matrix used in the evolutionary analyses presented in our paper.<br>
DOI: 10.6084/m9.figshare.14447334.v2
title: Recognition results

description: Ĵ进行数据验证
DOI: 10.48370/ofd/29za5j/ophb60
title: Golovinomyces cichoracearum (DC.) V.P. Heluta F-0443.tif

description: :unav
DOI: 10.48370/ofd/29za5j
title: Golovinomyces cichoracearum (DC.) V.P. Heluta., 443

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/sgjbh4
title: Phanerochaete velutina (DC.) P. Karst., 434

description: Fungarium Makromycetes
DOI: 10.6084/m9.figshare.12654545.v1
title: English-language publications related to sex work & COVID-19 in mainstream media, February-May 2020

description: Sex workers face unique challenges and needs in the context of COVID-19, which have attracted considerable attention from journalists writing for mainstream news publications. <br>This database has archived 80 English-language articles published by mainstream publications during February through May 2020. Any ownership of these files is maintained by the copyright holder.
DOI: 10.6084/m9.figshare.14451126.v1
title: Fig1c PAS-H staining of adult testis sections

description: Raw images for Figure 1c PAS-H staining of Wdr62 genetrap adult testis sections. <br>PAS-H staining system from Sigma 395-1KT according to manufacturer's instructions. Images were captured using Olympus BX51 light microscope 20x or 60x objectives. <br><br><br>