cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6741425.v10
title: COCI N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in COCI, released on 29 July 2021. In particular, any citation in the dataset, defined as an individual of the class <i>cito:Citation</i>, includes the following information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);<b>[property "cito:hasCitingEntity"]</b> the citing entity identified by its DOI URL (http://dx.doi.org/[DOI]);<b>[property "cito:hasCitedEntity"]</b> the cited entity identified by its DOI URL (http://dx.doi.org/[DOI]);<b>[property "cito:hasCitationCreationDate"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[property "cito:hasCitationTimeSpan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[type "cito:JournalSelfCitation"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[type "cito:AuthorSelfCitation"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).This version of the dataset contains:<br>1,094,394,688 citations;65,835,422 bibliographic resources.The size of the zipped archive is 54.9 GB, while the size of the unzipped N-Triples file is 1.18 TB.<br>Additional information about COCI can be retrieved in the official webpage.<br>
DOI: 10.6084/m9.figshare.3761562.v1973
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.v1972
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.16529886.v3
title: Data Measurement of The Metabolic Response Against Stress Induced Traffic Congestion

description: Traffic congestion can induce stress condition in traffic participants, and several hormones will be secreted by the adrenal glands in stress stimulation. The purpose of the study was to examine the metabolic responses induced by traffic congestion condition in young adults. This file is contain our collected data.
DOI: 10.6084/m9.figshare.16529886.v2
title: Data Measurement of The Metabolic Response Against Stress Induced Traffic Congestion

description: Traffic congestion can induce stress condition in traffic participants, and several hormones will be secreted by the adrenal glands in stress stimulation. The purpose of the study was to examine the metabolic responses induced by traffic congestion condition in young adults. This file is contain our collected data.
DOI: 10.6084/m9.figshare.14740272.v1
title: Improvement in the accuracy of existing gridded population maps through multisource map fusion

description: A new method of population mapping
DOI: 10.6084/m9.figshare.12942377.v1
title: Inactivation of the GATA cofactor ZFPM1 results in abnormal development of dorsal raphe serotonergic neuron subtypes and increased anxiety-like behaviour

description: Journal of Neuroscience JN-RM-2252-19
DOI: 10.48370/ofd/n6fffz/p0mlmw
title: Golovinomyces montagnei U. Braun F-0660.tif

description: :unav
DOI: 10.6084/m9.figshare.16529640.v8
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.6084/m9.figshare.16529640.v7
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of clinical samples for the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.48370/ofd/n6fffz
title: Golovinomyces montagnei U. Braun, 660

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16529640.v12
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.6084/m9.figshare.16529640.v11
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.48370/ofd/gjpawd/irlajp
title: Golovinomyces montagnei U. Braun F-0424.tif

description: :unav
DOI: 10.6084/m9.figshare.15181098.v2
title: Reference Data, Training and Validation

description: Reference data used for classification for 2019 and 2020. Also includes training data generated by ROS and RUS balancing methods.Contains shapefiles, and csv filesPython notebook implements ROS and RUS methods<br>
DOI: 10.6084/m9.figshare.15181098.v1
title: Reference Data, Training and Validation

description: Reference data used for classification for 2019 and 2020. Also includes training data generated by ROS and RUS balancing methods.Contains shapefiles, and csv files<br>
DOI: 10.48370/ofd/gjpawd
title: Golovinomyces montagnei U. Braun, 424

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16587074.v2
title: Predict joint angle of body parts based on sequence pattern recognition source and dataset

description: Predict joint angle of body parts based on sequence pattern recognition tester source and dataset:to test models you have to put all csv and npy files to data folder and select joint number in modelTester.py line 10<br>xtrain[1-12].npy contain real-world image OpenPose output andYtrain.csv is its label.xntrain[0-10].npy contain 3d human model image OpenPose output andYctrain.csv is its label.xtest[1-3].npy contain real-world test image OpenPose output andYtest.csv is its label.
DOI: 10.6084/m9.figshare.16587074.v1
title: Openpose-body-25-joint-angle-recognition-dataset

description: a dataset created by output of OpenPose 25-body model and joint angle label
DOI: 10.6084/m9.figshare.16529640.v17
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication. Check sample_list.xlsx for sample information.
DOI: 10.6084/m9.figshare.16529640.v19
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication. Check sample_list.xlsx for sample information.
DOI: 10.6084/m9.figshare.16529640.v18
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of the publication. Check sample_list.xlsx for sample information.
DOI: 10.6084/m9.figshare.14872095.v2
title: Illumina metagenomics workflow test files

description: Test files for my illumina metagenomics workflow
DOI: 10.48370/ofd/ftygxm/06tmjg
title: Golovinomyces montagnei U. Braun F-2583 (3).tif

description: :unav
DOI: 10.6084/m9.figshare.4033299.v1
title: Constraining uncertainty in the timescale of angiosperm evolution and the veracity of a Cretaceous Terrestrial Revolution

description: The archive contains the datasets used in Barba-Montoya et al. 2017. Constraining uncertainty in the timescale of angiosperm evolution and the veracity of a Cretaceous Terrestrial Revolution. New Phytologist.
DOI: 10.48370/ofd/ftygxm/jkwnv2
title: Golovinomyces montagnei U. Braun F-2583.tif

description: :unav
DOI: 10.48370/ofd/ftygxm/ocdmgx
title: Golovinomyces montagnei U. Braun F-2583 (5).tif

description: :unav
DOI: 10.6084/m9.figshare.3761562.v1979
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.v1978
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/ftygxm/fiwdbm
title: Golovinomyces montagnei U. Braun F-2583 (4).tif

description: :unav
DOI: 10.48370/ofd/ftygxm/acm5sg
title: Golovinomyces montagnei U. Braun F-2583 (2).tif

description: :unav
DOI: 10.6084/m9.figshare.5134840.v1
title: The Fitness Browser: Genome-wide mutant fitness data for diverse bacteria (June 2017 release)

description: As of June 2017, the Fitness Browser contains 4,956 genome-wide fitness assays from 33 bacteria. This download includes the data and code needed to run the fitness browser web site, including all of the per-gene and per-strain fitness values. See the README.txt file for more information about how to use these files, or visit the interactive Fitness Browser (http://fit.genomics.lbl.gov/).<br>
DOI: 10.48370/ofd/ftygxm
title: Golovinomyces montagnei U. Braun, 2583

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.15169605.v4
title: data

description: 基于空间复杂网络的多源地理数据城市空间结构识别
DOI: 10.6084/m9.figshare.15169605.v3
title: data

description: 基于空间复杂网络的多源地理数据城市空间结构识别
DOI: 10.6084/m9.figshare.14406128.v1
title: Fifteen test systems as described in "Fifteen Test Distribution Systems: Network Parameters and Diagrams of Electrical Structural "

description: Here are the fifteen test distribution networks, as described in the paper "Fifteen Test Distribution Systems: Network Parameters and Diagrams of Electrical Structural "<br><br>They are provided in AMPL and MATPOWER format.<br><br>These system are presented as-is and without warranty, and we accept no blame for any errors that may be present.<br><br>Also included are test system diagrams and the MATLAB scripts that were used to create them.<br>
DOI: 10.48370/ofd/5aq2vg/y23gl5
title: Golovinomyces montagnei U. Braun F-0438.tif

description: :unav
DOI: 10.6084/m9.figshare.16585964.v1
title: Supplemental File ADAM10 Partially Protects Mice against Influenza Pneumonia by Suppressing Specific Myeloid Cell Population

description: Supplementary data of the manuscript titled ADAM10 Partially Protects Mice against Influenza Pneumonia by Suppressing Specific Myeloid Cell Population
DOI: 10.48370/ofd/5aq2vg
title: Golovinomyces montagnei U. Braun, 438

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16615984.v1
title: Macroinvertebrate biomass in the water column of constructed ponds in the Whangamarino wetland

description: Macroinvertebrate biomass in the water column of constructed ponds in the Whangamarino wetland<br><br><b>Quality control:</b> Habitat type; Identification QA; Identified by; Net mesh size; Sampling method; Sampling protocol; Sorting QA; Sorting protocol<br><br><b>Type of waterbody:</b> Wetland<br><br><b>Variables:</b> Macroinvertebrates Biomass; Sampling effort<br><br><b>Start date:</b> 2013-07-16<br><br><b>End date:</b> 2013-09-03<br><br><b>Region:</b> Waikato<br><br><b>Wetland:</b> Constructed pond in the Whangamarino wetland<br><br>This dataset was originally hosted in the LERNZdb freshwater data repository that was developed as part of the Lake Ecosystem Restoration New Zealand (LERNZ) project run by the Environmental Research Institute at the University of Waikato, New Zealand. <br><br>In retrieving LERNZdb material you agree that you rely on the data at your own risk; the University of Waikato offers no warranty or representation that the data is fit for any particular purpose, or free from defects, and will not be liable for any losses or damages whatsoever including any indirect, special, incidental or consequential damages incurred by you arising out of the use of the database or in reliance on the data retrieved. You agree that data is not of a kind ordinarily supplied for personal or domestic purposes, and that the Consumer Guarantees Act 1993 does not apply.
DOI: 10.6084/m9.figshare.3761562.v1983
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/zegrxf/1qwhea
title: Golovinomyces montagnei U. Braun F-0427.tif

description: :unav
DOI: 10.48370/ofd/zegrxf
title: Golovinomyces montagnei U. Braun, 427

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.3761562.v1982
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.14468196.v2
title: Tabula Microcebus

description: Our goal is to make sequence data rapidly and broadly available to the scientific community as a community resource. It is our intention to publish the work of this project in a timely fashion, and we welcome collaborative interaction on the project and analyses. However, considerable investment was made in generating these data and we ask that you respect rights of first publication and acknowledgment as outlined in the Toronto agreement (Toronto International Data Release Workshop Authors. Prepublication data sharing. Nature. 2009 Sep 10;461(7261):168-70). By accessing these data, you agree not to publish any articles containing analyses of genes, cell types or transcriptomic data on a whole atlas or tissue scale prior to initial publication by the Tabula Microcebus Consortium and its collaborating scientists. If you wish to make use of restricted data for publication or are interested in collaborating on the analyses of these data, please use the contact form available from our data portal (https://tabula-microcebus.ds.czbiohub.org/). Redistribution of these data should include the full text of the data use policy.<br>
DOI: 10.6084/m9.figshare.14468196.v1
title: Tabula Microcebus v1.0

description: Our goal is to make sequence data rapidly and broadly available to the scientific community as a community resource. It is our intention to publish the work of this project in a timely fashion, and we welcome collaborative interaction on the project and analyses. However, considerable investment was made in generating these data and we ask that you respect rights of first publication and acknowledgment as outlined in the Toronto agreement (Toronto International Data Release Workshop Authors. Prepublication data sharing. Nature. 2009 Sep 10;461(7261):168-70). By accessing these data, you agree not to publish any articles containing analyses of genes, cell types or transcriptomic data on a whole atlas or tissue scale prior to initial publication by the Tabula Microcebus Consortium and its collaborating scientists. If you wish to make use of restricted data for publication or are interested in collaborating on the analyses of these data, please use the contact form available from our data portal (https://tabula-microcebus.ds.czbiohub.org/). Redistribution of these data should include the full text of the data use policy.<br>
DOI: 10.6084/m9.figshare.16614262.v2
title: Text-mined AuNP Synthesis Recipes Dataset

description: This dataset contains protocols for gold nanoparticle synthesis, mined from the literature. The set includes 5,154 data records, each representing a single gold nanoparticle synthesis article. Each record contains codified synthesis protocols and extracted morphological information from a total of 7,608 experimental and 12,519 characterization paragraphs.
DOI: 10.6084/m9.figshare.16614262.v1
title: aunp-synthesis_dataset_2021-9-14.json

description: This dataset contains protocols for gold nanoparticle synthesis, mined from the literature. The set includes 5,154 data records, each representing a single gold nanoparticle synthesis article. Each record contains codified synthesis protocols and extracted morphological information from a total of 7,608 experimental and 12,519 characterization paragraphs.
DOI: 10.5281/zenodo.5947784
title: Regular expression with their instances

description: This dataset contains randomly generated regular expression along with a set of randomly instances for each regexp. Used to train a machine learning regexp inference model. Encoded using python 3.8 pickle with HIGHEST_PROTOCOL.
DOI: 10.48370/ofd/ploprx/e56dsj
title: Golovinomyces montagnei U. Braun F-2571.tif

description: :unav
DOI: 10.5281/zenodo.5947783
title: Regular expression with their instances

description: This dataset contains randomly generated regular expression along with a set of randomly instances for each regexp. Used to train a machine learning regexp inference model. Encoded using python 3.8 pickle with HIGHEST_PROTOCOL.
DOI: 10.48370/ofd/ploprx
title: Golovinomyces montagnei U. Braun, 2571

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.16617562.v1
title: Bioluminescent single-cell traces related to Fig.1

description: Excel files contain bioluminescence expression from single-cell traces of E13.5 LUC2-HES1 LGE NSCs cultured in proliferative, quiescent and reactivated conditions. The traces were extracted from bioluminescence movies of NSCs using the Imaris software. These data relate to Fig.1C-H and Supplementary Fig.2B-D.<br> The background traces included in the files have been smoothed using a nonlinear polynomial (order 2). The smoothed background timeseries were then subtracted from the bioluminescence timeseries corresponding to each cell at each available time point.<br> In the files we have included the single-cell timeseries after background subtraction and after splitting them into 10h chunks. For example, a cell trace (Cell 1) that has 125 time frames (with each timeframe corresponding to a 10min interval) was split into 3 traces: two with 60 time frames (Cell 1 and Cell b1) and one with 5 (Cell c1). The number in the naming of the trace indicates the original cell number and the letters indicate how many parts the trace was split into. The traces were then aligned to all start from time frame 0 but this doesn’t correspond to the start of the actual cell trace from the movies.<br> These files were used as an input for the Gaussian Processes method as described in the materials and methods section of the paper and by using the code linked to that section. The code will filter out any traces that have a length shorter than 5.5h (33 frames).
DOI: 10.6084/m9.figshare.3761562.v1985
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.v1984
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.14593863.v1
title: PalaeoWISE

description: This is the dataset which supports the publication 'A palaeoclimate proxy database for water security planning in Queensland Australia'
DOI: 10.6084/m9.figshare.4487759.v1
title: Heightened among-individual variation in life history but not morphology is related to developmental temperature in reptiles

description: Datasets and code to reproduce meta-analysis for: "Heightened among-individual variation in life history but not morphology is related to developmental temperature in reptiles". The datasets are broken up into five trait-based datasets that were extracted from the Reptile Development Database (https://repdevo.com):<br>devdatReorg_sub.csv = Growth <br>perfdatReorg_sub.csv = Performace<br>sizedatReorg_sub_updated.csv = Morphology<br>taildat.csv = Tail length<br>survdatReorg_sub.csv = Survival<br><br>Descriptions of the data columns can be found at https://repdevo.com. We added the following columns:"pairgrp" = rows with the same number share animals are non-independent "collapse" = A numerical indicator (e.g., 1, 2,3) indicating which effects to average. Rows with the same numbers are averaged.<br>The code used for analysis is also provided:<br>analyses_CleanedAMS_lnCV_ls_18April.R<br>Given Bayesian models can take some time to run. We have also provided the survival models:<br>BayesianMCMCglmm_Surv_model_zTrans - z-transfomed to improve mixing and convergence<br><br>
DOI: 10.6084/m9.figshare.12130980.v112
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.