cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12459056.v14
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.6084/m9.figshare.14304248.v1
title: Emergency Treatment Technology database (Chinese Vision).zip

description: Through collected a lot of emergency treatment technology and relevant information, We established this emergency treatment technology database from 9 aspects of technical information: technical name, technology principle, the categories and pollutant characteristics, technical features, characteristics of emergency supplies, environmental impact, information sources and note; and characteristic database from types of chemicals, molecular weight, melting point, boiling point, density, flash point, saturated vapor pressure (kPa /20℃), water solubility, toxicity, (rat oral) toxicity, water stability, combustion characteristics, volatile, hazardous characteristics.<br>
DOI: 10.6084/m9.figshare.14184740.v1
title: Dataset for relative contributions of environmental drivers to historical trend of plant-to-ecosystem water-use efficiency

description: This dataset is the resulting data for the study on relative contributions of environmental drivers to historical trend of plant-to-ecosystem water-use efficiency.<br>This dataset is produced by PML-V2 model using satellite-based LAI, surface albedo and emissivity, and GLDAS V2.0 climate forcing and observed monthly global mean CO2 over 1982-2014 as inputs. <br>The dataset includes annual GPP (gross primary production), ET (evapotranspiration), Ec (transpiration), Es (soil evaporation), and Ei (rainfall interception). We also provide annual WUE (GPP/ET) and PWUE (GPP/Ec).
DOI: 10.48370/ofd/ilmhzx/x0rpo4
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta F-2513.tif

description: :unav
DOI: 10.48370/ofd/ilmhzx
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta, 2513

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.13612967.v1
title: Data set_cardboard bed without mattress is ineffective in improving evacuees’ musculoskeletal burden

description: Large-scale disasters such as earthquakes that cause widespread damage have repeatedly occurred in Japan. Following large-scale disasters, school buildings and gymnasiums have been taken advantage of as evacuation shelters, with many evacuees being forced to live for extended periods of time in a crowded condition. Due to lack of chairs or proper beds, evacuees are prone to back pain or sleep disorders from sitting down or lying on the floor at night. In addition, it has been suggested that evacuees’ poor sleep, mental stress, or fatigue caused by the inferior living environment of evacuation shelters may lead to disaster-related disease or death. In Japan, cardboard beds are often provided to evacuees in shelters as their heat insulating effect and respiratory benefits have been indicated by previous research. However, results of the present study revealed weaknesses in relation to the body pressure distribution of this device, and our findings will contribute to providing base evidence on healthy sleeping conditions for future evacuees.<br>
DOI: 10.48370/ofd/j2tpfj/r8mqbn
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta F-2555.tif

description: :unav
DOI: 10.48370/ofd/j2tpfj
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta, 2555

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14306390.v2
title: S6 Overlapping Genes.xlsx

description: Lists showing the overlapping gene signatures that were transcriptionally induced by BCG inside macrophages and demonstrated overlaps with genes identified as essential for TB growth in macrophages and cholesterol metabolism from existing gene essentiality datasets. Includes, hypergeometric analysis output from large database.
DOI: 10.6084/m9.figshare.14306390.v1
title: Overlapping Genes.xlsx

description: Lists showing the overlapping gene signatures that were transcriptionally induced by BCG inside macrophages and demonstrated overlaps with genes identified as essential for TB growth in macrophages and cholesterol metabolism from existing gene essentiality datasets. Includes, hypergeometric analysis output from large database.
DOI: 10.5281/zenodo.5946990
title: Dataset- Decarbonization of the Indian Electricity Sector: Technology Choices and Policy Trade-Offs

description: Input and output data for 40 scenarios for the 2040 Indian electricity sector. Compatible with old versions of GenX: https://github.com/GenXProject/GenX, available upon request.
DOI: 10.5281/zenodo.5946989
title: Dataset- Decarbonization of the Indian Electricity Sector: Technology Choices and Policy Trade-Offs

description: Input and output data for 40 scenarios for the 2040 Indian electricity sector. Compatible with old versions of GenX: https://github.com/GenXProject/GenX, available upon request.
DOI: 10.6084/m9.figshare.14305889.v2
title: S3 DESeq2 Output .xlsx

description: Output generated from the DESeq2 pipeline. Includes Log2data, RlogData, adjusted DESeq2 output with p &lt;0.05 cutoff and L2FC cutoff, and metabolic pathway mapping generated via BioCyc.org.
DOI: 10.6084/m9.figshare.14305889.v1
title: DESeq2 Output .xlsx

description: Output generated from the DESeq2 pipeline. Includes Log2data, RlogData, adjusted DESeq2 output with p &lt;0.05 cutoff and L2FC cutoff, and metabolic pathway mapping generated via BioCyc.org.
DOI: 10.6084/m9.figshare.14305673.v1
title: RNA-seq Raw Counts.xlsx

description: Raw count file showing the transcriptional response of <i>M.bovis</i> BCG to the intracellular environment of a macrophage profiled by RNA-seq during an experiment undertaken by Cantillon, Goff and Waddell in 2019.
DOI: 10.6084/m9.figshare.14304698.v2
title: S5 BCG to Rv conversion table.xlsx

description: BCG to Rv conversion table. Enabling orthologue conversion of <i>M.bovis </i>AF2122/97 to <i>M.tb </i>H37Rv.
DOI: 10.6084/m9.figshare.14304698.v1
title: BCG to Rv conversion table.xlsx

description: BCG to Rv conversion table. Enabling orthologue conversion of <i>M.bovis </i>AF2122/97 to <i>M.tb </i>H37Rv.
DOI: 10.48370/ofd/phwn7y/skyneh
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta F-0539.tif

description: :unav
DOI: 10.48370/ofd/phwn7y
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta, 539

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14305139.v2
title: S4 Gene Essentiality Database.xlsx

description: Gene essentiality database. Compiles eleven relevant <i>M.tb</i> essential gene datasets from published studies. Intended for to be used to help future analyses of the intracellular transcriptome signature and identify pathways both induced intracellularly and essential for mycobacterial viability. Overlaps between the THP-1 dataset are demonstrated.
DOI: 10.6084/m9.figshare.14305139.v1
title: Gene Essentiality Database.xlsx

description: Gene essentiality database. Compiles eleven relevant <i>M.tb</i> essential gene datasets from published studies. Intended for to be used to help future analyses of the intracellular transcriptome signature and identify pathways both induced intracellularly and essential for mycobacterial viability. Overlaps between the THP-1 dataset are demonstrated.
DOI: 10.6084/m9.figshare.14236208.v1
title: Genomic data for Npo

description: <i>Npo</i> genome complete.
DOI: 10.6084/m9.figshare.12280910.v2
title: bleyhl-etal_reducing-persecution-data.zip

description: Data from the publication "Reducing persecution is more effective for restoring large carnivores than restoring their prey", published in the journal Ecological Applications.<br><br>Citation: Bleyhl, B., Ghoddousi, A., Askerov, E., Bocedi, G., Breitenmoser, U., Manvelyan, K., Palmer, S.C.F., Soofi, M., Weinberg, P., Zazanashvili, N., Shmunk, V., Zurell, D., Kuemmerle, T. (2021): Reducing persecution is more effective for restoring large carnivores than restoring their prey.<br><br>Data contains the spatial raster layers used to run the Persian leopard metapopulation model. The model parameters are described in Table 2 of the article.<br><br>cost-surface.txt: Expert-based cost surface describing the permeability of each cell for leopard movement from 1 (most permeable) to 10 (least permeable).<br><br>habitat-suitability.txt: Persian leopard habitat suitability with values ranging from 0 (least suitable) to 100 (most suitable). <br><br>potential-breeding-patches.txt: Potential Persian leopard breeding patches labeled from 1 - 74 (0 = no breeding patch).
DOI: 10.6084/m9.figshare.12280910.v1
title: bleyhl-etal_reducing-persecution-data.zip

description: Data from the publication "Reducing persecution is more effective for restoring large carnivores than restoring their prey", published in the journal Ecological Applications.<br><br>Citation: Bleyhl, B., Ghoddousi, A., Askerov, E., Bocedi, G., Breitenmoser, U., Manvelyan, K., Palmer, S.C.F., Soofi, M., Weinberg, P., Zazanashvili, N., Shmunk, V., Zurell, D., Kuemmerle, T. (2021): Reducing persecution is more effective for restoring large carnivores than restoring their prey.<br><br>Data contains the spatial raster layers used to run the Persian leopard metapopulation model. The model parameters are described in Table 2 of the article.<br><br>cost-surface.txt: Expert-based cost surface describing the permeability of each cell for leopard movement from 1 (most permeable) to 10 (least permeable).<br><br>habitat-suitability.txt: Persian leopard habitat suitability with values ranging from 0 (least suitable) to 100 (most suitable). <br><br>potential-breeding-patches.txt: Potential Persian leopard breeding patches labeled from 1 - 74 (0 = no breeding patch).
DOI: 10.6084/m9.figshare.9944747.v1
title: R code and data for estimating hyaena density across South Africa

description: R code and data for estimating hyaena density across South Africa
DOI: 10.6084/m9.figshare.14303627.v1
title: IMPA DMA validation

description: Validation of the performance of the interferometry based MPA system when performing DMA on a flying fish roe.<br>
DOI: 10.6084/m9.figshare.14303774.v1
title: Interferometry-based Micropipette Aspiration: validation against the standard approach

description: Comparison between video tracking based MPA and interferometry based MPA. The video was recorded at ~7 fps.The sample is a ~300 um hydrogel bead (agarose .5% w/v, IamFluidics B.V.). <br>Test performed at RT.<br>
DOI: 10.6084/m9.figshare.14303060.v2
title: IMPA system validation

description: Raw data used to generate figure in the associated article.<br>This collection of datasets contains:<br>-validation of interferometry-based MPA against video tracking.<br>-validation of the performance of DMA on flying fish roe.<br><br>-DMA of the Zona Pellucida of mature bovine oocytes.<br>
DOI: 10.48370/ofd/plcxaf/mbi2p1
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta F-2109.tif

description: :unav
DOI: 10.6084/m9.figshare.14303060.v1
title: DMA of the Zona Pellucida of Mature Bovine Oocytes

description: DMA of the Zona Pellucida of mature bovine oocytes.Test conducted with 80 um opening pipette.Experimental condition:37 C, submerged in medium (see methods in the article)<br>
DOI: 10.48370/ofd/plcxaf
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta, 2109

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.14170787.v1
title: Paper data and code

description: This tarball contains code, data, and figures to reproduce results for the paper "Natural variants suppress mutations in hundreds of essential genes".<br>There are five subdirectories:- <i>code</i> contains the code used to process data, and to plot results. The "Paper claims and figures" notebook generates the tables and plots- <i>meta </i>contains strain descriptions and external datasets- <i>input_data</i> contains the raw input data generated as part of this study into the analysis in the form of colony size files for different replicates at different temperatures, and allele counts [here already updated with frequencies] of mapping experiments- <i>tables </i>contains the output tables generated by code [including the relevant manuscript files]- <i>plots</i> contains output plots [including the relevant manuscript figure panels]
DOI: 10.6084/m9.figshare.14306888.v1
title: Transcriptome of clitellum during regeneration in earthworm Eudrilus eugeniae

description: Transcriptome of clitellum during regeneration in earthworm Eudrilus eugeniae<br> RNA-seq of Earthworm clitellum RNA-seq of Earthworm-anteriorCut-Clitellum-tissue-4th-day RNA-seq of Earthworm-anteriorCut-Clitellum-tissue-6th-day RNA-seq of Earthworm-posteriorCut-Clitellum-tissue-4th-day RNA-seq of Earthworm-posteriorCut-Clitellum-tissue-6th-day
DOI: 10.6084/m9.figshare.3761562.v1818
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.v1817
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.14298860.v1
title: Supplementary of Original western blots.docx

description: Supplementary of Original western blots
DOI: 10.6084/m9.figshare.12130980.v87
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.v86
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.13359074.v1
title: gut microbiota of Rat

description: The data was obtained by 16S rDNA sequencing<br>
DOI: 10.6084/m9.figshare.13466570.v5
title: Collapse of a Coastal Revetment Due to the Combined Effect of Anthropogenic and Natural Disturbances_Data & Figures

description: Observation data used for creating figures in the paper 'Collapse of a Coastal Revetment Due to the Combined Effect of Anthropogenic and Natural Disturbances' and Figures(12)
DOI: 10.48370/ofd/szoywk/wjjdkf
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta F-1993.tif

description: :unav
DOI: 10.6084/m9.figshare.13466570.v4
title: Cancel_Data & Figures

description: Cancel_Observation data used for creating figures in the paper 'Collapse of a coastal revetment by the combined effect of anthropogenic and natural disturbances' and Figures(10)
DOI: 10.48370/ofd/szoywk
title: Golovinomyces biocellatus (Ehrenb.) V.P. Heluta, 1993

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.12672692.v1
title: original gene analysis reports.zip

description: This data set is for the manuscript<b> </b><i>Drawing Circulating Tumor DNA from Resection Cavities: a Fresh Biosource of Liquid Biopsy for Glioma Progression, the </i>original gene analysis reports provided by Genetron.
DOI: 10.6084/m9.figshare.13503459.v1
title: ‘’What you are asking is not what we are told to prepare’’: a community based study describing birth preparedness and complication readiness among postpartum women in a rural district, northern Tanzania

description: BPCR database collected in Babati rural Tanzania in 2019.This study aimed to assess knowledge and practice of birth preparedness and complication readiness among women in a Babati rural district, northern Tanzania<br><br><b>Methods:</b> A community-based cross-sectional study was conducted in July 2019, among women who delivered in the 24 months prior to the study. Questionnaires were used for data collection, which included demographic data, ante natal care history, and knowledge of danger signs, birth preparedness and readiness of its complications.<br>Two wards (Dareda and Magugu) were randomly selected out of 25 wards in the district. At Magugu and Dareda wards, the district RCH coordinator introduced us to the village chairpersons and village health workers (CHWs). Five villages were selected for the study. The CHWs developed a list of households with women who have children of 2 years or less in the five villages, and 70 household in each of the villages were randomly selected. At the field starting point was identified at the village with assistance of village chairperson and data was collected from one house to another with aid of CHWs. Data collection started at 9 a.m and continued to 6pm. Before interviewing, the participant was informed of the aims and objectives <br>of the study and was asked for consent to participate in the study. Six undergraduate students (Medical students year 4) collected the data, three at Magugu and three at Dareda. A Swahili questionnaire [TJ1] was used to collect information from the participants. The interviews were conducted at either the participant’s home, or at health facility room depending on the preference of the participant. After finishing data collection verbal observation from the field was shared with the DMO, which was followed by a full research report of the study after completion. <br>
DOI: 10.6084/m9.figshare.14336729.v2
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, Patagonian steppe)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from a Patagonian steppe in the Karukinka Natural Park in 2020.
DOI: 10.6084/m9.figshare.14336729.v1
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, Patagonian steppe)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from a Patagonian steppe in the Karukinka Natural Park in 2020.
DOI: 10.6084/m9.figshare.14336735.v3
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, above tree line)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from an area above tree line in the Karukinka Natural Park in 2020.
DOI: 10.6084/m9.figshare.14336735.v2
title: Peltigera lichens from Karukinka Natural Park, Magallanes Region, Chile (2020, above tree line)

description: Peltigera lichen samples collected by the Microbial Ecology Lab (Universidad de Chile), from an area above tree line in the Karukinka Natural Park in 2020.