cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3724083
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3732419
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3732422
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3757616
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3819126
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3888499
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.5281/zenodo.3938381
title: Coronavirus disease (COVID-19) case data - South Africa

description: COVID 19 Data for South Africa created, maintained and hosted by DSFSI research group at the University of Pretoria <strong>Disclaimer:</strong> We have worked to keep the data as accurate as possible. We collate the COVID 19 reporting data from NICD and South Africa DoH. We only update that data once there is an official report or statement. For the other data, we work to keep the data as accurate as possible. If you find errors let us know. See original GitHub repo for detailed information https://github.com/dsfsi/covid19za
DOI: 10.25345/c57h1dx1s
title: MassIVE MSV000091320 - Proteome profiling of rat brain cortical changes during early PND
title: These are the files for the review process of a manuscript titled: Proteome profiling of rat brain cortical changes during early postnatal brain development to be reviewed for publication as article in J. Proteome Res.
DOI: 10.5281/zenodo.7328585
title: Seismic Magnitude Clustering is Prevalent in Field and Laboratory Catalogs [DATA]

description: Catalogs for Nature Communications article: Seismic Magnitude Clustering is Prevalent in Field and Laboratory Catalogs. Update: In DataVariableExplanation, two catalogs from University of Minnesota Mixed mode and mode I bending data description needs to show that the third column is in seconds.
DOI: 10.6084/m9.figshare.22118069
title: Raptors Counts and weather variables

description: Raptors were surveyed using line-transect distance sampling. The survey were conducted at three locations: Albany Area Propery, Tall Timbers Research Station in Georgia, and Livingston Place in Florida in United States.
DOI: 10.34740/kaggle/dsv/5017484
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.6084/m9.figshare.22090538.v5
title: HBCC_DLPFC-sgACC_snRNAseq_2023

description: The purpose of uploading the data here is to provide interactive data access to the users.
DOI: 10.25919/cjxp-9282
title: Parkes observations for project P595 semester 2022OCTS_09

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25919/zvzh-8v03
title: Parkes observations for project P971 semester 2022OCTS_06

description: We propose further timing observations of the relativistic pulsar - white-dwarf binary, PSR J1141$-$6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The analysis of existing data has already revealed the first detection of Lense-Thirring precession in a binary star system, and hinted at complex emission beam structure probed via geodetic precession. Further timing of this system for the next few years is needed for studies of these effects at higher precision.
DOI: 10.6084/m9.figshare.22090538
title: HBCC_DLPFC-sgACC_snRNAseq_2023

description: The purpose of uploading the data here is to provide interactive data access to the users.
DOI: 10.6084/m9.figshare.22090538.v7
title: HBCC_DLPFC-sgACC_snRNAseq_2023

description: The purpose of uploading the data here is to provide interactive data access to the users.
DOI: 10.6084/m9.figshare.22090538.v6
title: HBCC_DLPFC-sgACC_snRNAseq_2023

description: The purpose of uploading the data here is to provide interactive data access to the users.
DOI: 10.22003/xfel.eu-data-900293-00
title: DSSC Commissioning
DOI: 10.22003/xfel.eu-data-003295-00
title: Ultrafast, atom-resolved probes of aqueous hydrogen bond dynamics
DOI: 10.22003/xfel.eu-data-003323-00
title: Dynamics of nanoscale phenomena in solids and liquids studied with X-ray Transient Gratings at European XFEL (joint FXE/MID)
DOI: 10.22003/xfel.eu-data-003348-00
title: MHz XPCS enabled studies of dynamics, interactions and aggregation phenomena in protein solutions
DOI: 10.22003/xfel.eu-data-004576-00
title: Detector commissioning 2.2023
DOI: 10.6084/m9.figshare.22027763.v1
title: Supplementary data, scripts, and files

description: All data, scripts, and files needed to reproduce the figures and findings from the paper.
DOI: 10.6084/m9.figshare.3761562.v2500
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: 10.7303/syn51111084.1
title: PyschENCODE Consortium (PEC) Capstone II Cross-study Harmonized Data
DOI: 10.26093/cds/vizier.18920137
title: Spectroscopy of Grus II, Tuc IV and Tuc V

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Birds of a feather? Magellan/IMACS spectroscopy of the ultra-faint satellites Grus II, Tucana IV, and Tucana V.' (bibcode: 2020ApJ...892..137S)
DOI: 10.26093/cds/vizier.19010109
title: Ages & [Fe/H] of the MW bulge using APOGEE

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Exploring the stellar age distribution of the Milky Way bulge using APOGEE.' (bibcode: 2020ApJ...901..109H)
DOI: 10.6084/m9.figshare.22120397
title: Species

description: Species list test file
DOI: 10.6084/m9.figshare.22120397.v1
title: Species

description: Species list test file
DOI: 10.5281/zenodo.7651460
title: Crowdsourced COVID-19 Cases and Outbreaks across Canadian Schools 2020-21: COVID Schools Canada

description: This archive contains the final data freeze for COVID Schools Canada, and the software used to compile, clean, and plot the data. The <strong>Canada COVID-19 School Tracker</strong> was a 100% volunteer-led project tracking COVID-19 cases and outbreaks in schools across Canada from September 2020 to June 2021. The goal of this project was to highlight the impact of COVID-19 on schools and families; to advocate for safer schools; and to advocate for transparency in our educational system.<br> This project is an initiative of grassroots advocacy group Masks4Canada. To learn more about project and see the interactive map of COVID-19 cases and outbreaks across Canadian schools as compiled by this project, visit https://covidschoolscanada.org/ For questions about these data, please contact Shraddha Pai.
DOI: 10.5281/zenodo.7651461
title: Crowdsourced COVID-19 Cases and Outbreaks across Canadian Schools 2020-21: COVID Schools Canada

description: This archive contains the final data freeze for COVID Schools Canada, and the software used to compile, clean, and plot the data. The <strong>Canada COVID-19 School Tracker</strong> was a 100% volunteer-led project tracking COVID-19 cases and outbreaks in schools across Canada from September 2020 to June 2021. The goal of this project was to highlight the impact of COVID-19 on schools and families; to advocate for safer schools; and to advocate for transparency in our educational system.<br> This project is an initiative of grassroots advocacy group Masks4Canada. To learn more about project and see the interactive map of COVID-19 cases and outbreaks across Canadian schools as compiled by this project, visit https://covidschoolscanada.org/ For questions about these data, please contact Shraddha Pai.
DOI: 10.18119/n9102v
title: Conserved Rat-Human BMI Network
DOI: 10.18119/n9w90z
title: Expanded BMI Network
DOI: 10.18119/n9rg73
title: Conserved Rat-Human BMI Systems Map
DOI: 10.18119/n9ms56
title: Human-Specific BMI Network
DOI: 10.18119/n9h03k
title: Rat-Specific BMI Network
DOI: 10.18739/a2rj48w5d
title: Acoustic Zooplankton Fish Proflier Echometric Data from a 38 kHz Transducer moored on the Beaufort Slope just East of Barrow Canyon in 2018-2019

description: The goal of this study is to reveal the temporal variation of biological backscatter in a region of the Beaufort Shelf known for intense upwelling. Acoustic Zooplankton Fish Profilers (AZFPs, ASL Environmental Sciences Inc.) were deployed on moorings for two years. The AZFP was equipped with 38, 120, 200, and 455 kilohertz (kHz) frequencies. The first deployment took place from Aug. 29, 2017 – Aug. 10, 2018 at the 80 m isobath in the mid-Beaufort Sea shelf. The instrument was moored 7.8 meters (m) off the bottom and collected data using 90 pings with a 20 second ping interval every 20 minutes for the deployment period. The second deployment took place from Aug. 24, 2018 – Aug. 20, 2019 at the 115 m isobath on the Beaufort Shelf just east of the mouth of Barrow Canyon. The instrument was moored 7.8 m off the bottom and collected data in two different configurations over the year designed to optimize battery life (5-minute burst interval with 30 pings per burst and a 2 second ping interval from August to the end of November and from June until recovery and 20-minute burst interval with 30 pings per burst and a 2 second ping interval from December through May). Only the 38 and 455 kHz transducers operated throughout the 2-year deployment period. The 200 kHz transducer failed in January 2018 and the 125 kHz transducer failed in August 2018, making frequency differencing to differentiate taxa difficult/impossible for much of the record. Statistical measures of acoustic backscatter, known as Echometrics, as defined in Urmy et al. 2012 were calculated using the Echoview version 12.1 software for 38 kHz data over the entire AZFP time series between August 2017 and August 2019. Acoustic data were be adjusted for sound speed and absorption using temperature and salinity measurements from a Seabird CTD (Conductivity, Temperature, and Depth) moored nearby.
DOI: 10.6084/m9.figshare.22120433
title: materials properties prediction model

description: Machine learning models for predicting normal boiling temperature and critcal pressure from SMILES
DOI: 10.6084/m9.figshare.22120433.v1
title: materials properties prediction model

description: Machine learning models for predicting normal boiling temperature and critcal pressure from SMILES
DOI: 10.13020/pg7h-vv34
title: Data from Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer

description: This data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer." Self-consistent field theory was used to investigate the phase behavior in the binary AB/ABC block polymer blends. With this dataset, users should be able to regenerate all the calculations that appeared in the paper, using the open-source C++ SCFT program available on GitHub (https://github.com/dmorse/pscfpp).
description: With the data provided here, users can reproduce all the results of self-consistent field theory (SCFT) calculations presented in the associated paper. The data set is split into the subdirectories 'figure#' corresponding to each figure in the main paper. Each folder contains input files and output converged solutions of the SCFT simulations for the corresponding figures in the paper. Information about the open-source C++ SCFT program is available at GitHub (https://github.com/dmorse/pscfpp) and the user manual page (https://dmorse.github.io/pscfpp-man/). For a detailed description of the data files, please read the readme file.
DOI: 10.5281/zenodo.7650481
title: GMSL experiments: atmosphere and ocean annual mean

description: The first is the pre-industrial control experiment (picontrol). It employs the Earth's orbital parameters of 1990 CE, and the atmospheric CO<sub>2</sub> level 284.70 ppm and CH<sub>4</sub> level 791.60 ppb. The second group (lig126 group) includes three simulations, lig126, lig126sl5m, lig126sl10m. The lig126 experiment, which only considers changes in the Earth's orbital configuration and greenhouse gas levels, uses the orbital parameters of 126 ka, the atmospheric CO<sub>2</sub> level 274.99 ppm, and the atmospheric CH<sub>4</sub> level 652.52 ppb. In addition to the orbital parameters and greenhouse gas level, lig126sl5m and lig126sl10m further consider the GMSL rise of 5 and 10 m, respectively. The third group (co<sub>2</sub>400 group) includes seven simulations, co<sub>2</sub>400, co<sub>2</sub>400sl0.625m, co<sub>2</sub>400sl1.25m, co<sub>2</sub>400sl2.5m, co<sub>2</sub>400sl5m, co<sub>2</sub>400sl10m and co<sub>2</sub>400sl20m. In co<sub>2</sub>400, the atmospheric CO<sub>2</sub> level is 400 ppm, all other boundary conditions (including orbital parameters, CH<sub>4</sub> level, bathymetry, and topography) are identical to the picontrol experiment. Compared to co<sub>2</sub>400, we consider GMSL rise of 0.625, 1.25, 2.5, 5, 10, and 20 m in other experiments in this group.
DOI: 10.5281/zenodo.7650482
title: GMSL experiments: atmosphere and ocean annual mean

description: The first is the pre-industrial control experiment (picontrol). It employs the Earth's orbital parameters of 1990 CE, and the atmospheric CO<sub>2</sub> level 284.70 ppm and CH<sub>4</sub> level 791.60 ppb. The second group (lig126 group) includes three simulations, lig126, lig126sl5m, lig126sl10m. The lig126 experiment, which only considers changes in the Earth's orbital configuration and greenhouse gas levels, uses the orbital parameters of 126 ka, the atmospheric CO<sub>2</sub> level 274.99 ppm, and the atmospheric CH<sub>4</sub> level 652.52 ppb. In addition to the orbital parameters and greenhouse gas level, lig126sl5m and lig126sl10m further consider the GMSL rise of 5 and 10 m, respectively. The third group (co<sub>2</sub>400 group) includes seven simulations, co<sub>2</sub>400, co<sub>2</sub>400sl0.625m, co<sub>2</sub>400sl1.25m, co<sub>2</sub>400sl2.5m, co<sub>2</sub>400sl5m, co<sub>2</sub>400sl10m and co<sub>2</sub>400sl20m. In co<sub>2</sub>400, the atmospheric CO<sub>2</sub> level is 400 ppm, all other boundary conditions (including orbital parameters, CH<sub>4</sub> level, bathymetry, and topography) are identical to the picontrol experiment. Compared to co<sub>2</sub>400, we consider GMSL rise of 0.625, 1.25, 2.5, 5, 10, and 20 m in other experiments in this group.
DOI: 10.5281/zenodo.7650523
title: GMSL experiments: atmosphere and ocean annual mean

description: The first is the pre-industrial control experiment (picontrol). It employs the Earth's orbital parameters of 1990 CE, and the atmospheric CO<sub>2</sub> level 284.70 ppm and CH<sub>4</sub> level 791.60 ppb. The second group (lig126 group) includes three simulations, lig126, lig126sl5m, lig126sl10m. The lig126 experiment, which only considers changes in the Earth's orbital configuration and greenhouse gas levels, uses the orbital parameters of 126 ka, the atmospheric CO<sub>2</sub> level 274.99 ppm, and the atmospheric CH<sub>4</sub> level 652.52 ppb. In addition to the orbital parameters and greenhouse gas level, lig126sl5m and lig126sl10m further consider the GMSL rise of 5 and 10 m, respectively. The third group (co<sub>2</sub>400 group) includes seven simulations, co<sub>2</sub>400, co<sub>2</sub>400sl0.625m, co<sub>2</sub>400sl1.25m, co<sub>2</sub>400sl2.5m, co<sub>2</sub>400sl5m, co<sub>2</sub>400sl10m and co<sub>2</sub>400sl20m. In co<sub>2</sub>400, the atmospheric CO<sub>2</sub> level is 400 ppm, all other boundary conditions (including orbital parameters, CH<sub>4</sub> level, bathymetry, and topography) are identical to the picontrol experiment. Compared to co<sub>2</sub>400, we consider GMSL rise of 0.625, 1.25, 2.5, 5, 10, and 20 m in other experiments in this group.
DOI: 10.7267/2n49t893t
title: Content analysis of institutional research data policies in the US

description: This dataset contains the data generated for a study to evaluate if institutional research data policies in the US support or encourage the FAIR principles (Wilkinson et al 2016). The data include a list of criteria developed for the analysis, and the reasoning behind the inclusion or exclusion of criteria from other sources. The comparison of the results of this study with the results of previous work by Briney et al 2015. And the resulting dataset with the values for each of the criteria, on the 40 institutional research data policies that we identified.
DOI: 10.5281/zenodo.7466409
title: Break the Code? Breaking Changes and Their Impact on Software Evolution (Artefacts)

description: The artefacts included in this repository accompany the thesis "Break the Code? Breaking Changes and Their Impact on Software Evolution" authored by Lina María Ochoa Venegas and supervised by prof.dr. Jurgen Vinju, prof.dr. Mark van den Brand, and dr.Thomas Degueule. The thesis was developed at Eindhoven University of Technology (TU/e) in Eindhoven, The Netherlands and Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands. It was submitted to revision in 2022 and defended in 2023. <strong>Relevant Links</strong> <strong>Maracas:</strong> https://github.com/alien-tools/maracas <strong>BreakBot: </strong>https://github.com/alien-tools/breakbot
DOI: 10.5281/zenodo.7651509
title: Break the Code? Breaking Changes and Their Impact on Software Evolution (Artefacts)

description: The artefacts included in this repository accompany the thesis "Break the Code? Breaking Changes and Their Impact on Software Evolution" authored by Lina María Ochoa Venegas and supervised by prof.dr. Jurgen Vinju, prof.dr. Mark van den Brand, and dr.Thomas Degueule. The thesis was developed at Eindhoven University of Technology (TU/e) in Eindhoven, The Netherlands and Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands. It was submitted to revision in 2022 and defended in 2023. <strong>Relevant Links</strong> <strong>Maracas:</strong> https://github.com/alien-tools/maracas <strong>BreakBot: </strong>https://github.com/alien-tools/breakbot
description: Update README file with BreakBot Zenodo link.
DOI: 10.5281/zenodo.7466408
title: Break the Code? Breaking Changes and Their Impact on Software Evolution (Artefacts)

description: The artefacts included in this repository accompany the thesis "Break the Code? Breaking Changes and Their Impact on Software Evolution" authored by Lina María Ochoa Venegas and supervised by prof.dr. Jurgen Vinju, prof.dr. Mark van den Brand, and dr.Thomas Degueule. The thesis was developed at Eindhoven University of Technology (TU/e) in Eindhoven, The Netherlands and Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands. It was submitted to revision in 2022 and defended in 2023. <strong>Relevant Links</strong> <strong>Maracas:</strong> https://github.com/alien-tools/maracas <strong>BreakBot: </strong>https://github.com/alien-tools/breakbot
description: Update README file with BreakBot Zenodo link.
DOI: 10.5517/ccdc.csd.cc2f4bmk
title: CCDC 2238498: Experimental Crystal Structure Determination

description: Related Article: F.N.A. Abdul Rashid, M.Z. Bacho, M.A. Hamali, A.M.Z. Slawin, M.F. Mohammat, R. Shamsujunaidi, M.A.F. Abdul Manan|2023|IUCrData|8|x230075|doi:10.1107/S2414314623000755
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7295/w9cil50643
title: CIL:50643, Mus musculus, Opn4Cremouse brain tissue, miniSOG inmelanopsin retinal ganglion cells, neurites