Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,782
datasets available to search
ShareScore release 0.9.0
Dataset results
6,782 results for “project”
Mock up dataset for daGOAT project
<p>This dataset, which contains mocked severe-aGVHD data, is intended to be used as test input for ./Code/severe-aGVHD/ in daGOAT project (https://github.com/chenjunren-ihcams/daGOAT). </p> <p> </p> <p>The dataset include three parts.</p> <p>1) all dynamic features for each patient across the whole observation time is provided as single csv file under /processed folder</p> <p>2) all peri-transplantation features, presence/absence of severe aGVHD within 100 days, and onset dates of severe aGVHD are provided in "encoded.csv"</p> <p>3) The name of each dynamic folder is provided in "keys.csv"</p>
Table of Data originated from EV-ILVO for VIROPLANT project
<p>Table of Data originated from EV-ILVO for VIROPLANT project</p>
XILforEV Project Video
<p>Video of XILforEV project activtities</p>
The MOSES Project
<p>MOSES presented during the 2nd International Autonomy & Sustainability Summit 2020</p>
On the Detection of Performance Regression Introducing Code Changes: Experience from the Git Project
<p>This is the dataset and source code of the paper: <strong>On the Detection of Performance Regression Introducing Code Changes: Experience from the Git Project</strong></p> <p>The STEP-1-AND-2 folder is for doig things on digitalocean</p> <p>The STEP-3 folder is for running lizard on each commit</p> <p>The STEP-4 folder is for basically everything else</p> <p>"messing-with-understand" is the code i used to run understand on every<br> commit</p> <p>"nn" is the code i used when toying with neural nets instead of perphecy</p>
Apache Software Foundation Incubator Project Sustainability Dataset
<p>The data set contains ASF incubator projects data (updated in June 2021).</p>
To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects
<p>This contains the experimental dataset for our paper: "To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing<br> in Machine Learning Projects" published at ICST 2022. Go to <a href="https://github.com/uiuc-arc/xseed">Github</a> for more details.</p>
INNOSETA database 2021: projects
<p>INNOSETA database 2021: projects</p>
INNOSETA database 2021: projects and articles
<p>INNOSETA database 2021: projects and articles</p>
INNOSETA database 2020: projects and articles
<p>INNOSETA Database Projects and articles</p>
Data for modeling and simulation of the Beijing-Shijiazhuang section of the South-to-North Water Diversion Project
<p>Data we used to calculate and analysis the main contribution in our manuscript of Digital Twin for large-scale water diversion projects.</p>
Database from project "Desarrollo de un modelo macroscópico del hinchamiento libre de las bentonitas MX-80, GMZ y FEBEX [SBPLY/19/180501/000222]"
<p>Base de datos desarrollada en el proyecto "Desarrollo de un modelo macroscópico del hinchamiento libre de las bentonitas MX-80, GMZ y FEBEX [SBPLY/19/180501/000222]". Compilación de datos de ensayos procedentes de la literatura publicada, de los tipos hinchamiento libre, presión de hinchamiento e hinchamiento bajo carga, para las tres bentonitas mencionadas.</p>
Dataset for Projections of Forest Degradation and CO2 Emissions for the Brazilian Amazon
<p>Data and parameters used for generate scenarios of forest degradation and CO2 Emissions for the Brazilian Amazon.</p> <p> Spatial data are available and compiled into cellular spaces. We used LuccME land use modeling framework and INPE-EM emission model to generate theses scenarios. LuccME and INPE-EM versions used to build the model, the new LuccME components we developed and the scripts containing all the parameters are also available. </p> <p> </p>
Unity project for VR user study on adaptive mobile indoor route guidance
<p>This unity project was used to conduct a user study in VR that investigates the link between the cognitive load induced by route instruction types and building configuration during indoor route guidance. In the project a 3D model can be found of a fictive building, 10 scenes for 10 different routes in this building, 3 types of route instructions for these 10 routes, code to conduct the experiment and track eye movements and the location of participants during the experiment.</p>
Raw data for the samples collected from Hole B of the ICDP DSeis project at the Moab Khotsong Gold Mine in South Africa
<p>This data set is corresponding to the Miyamoto, T. et al. "Characteristics of Seismogenic Fault Rock Related to the 2014 Orkney Earthquake (M5.5) Beneath the Moab Khotsong Gold Mine, South Africa" Geophysical Research Letters, 2022. This data set shows physical property, magnetic susceptibility, mineral assemblage, and element composition of all Hole B subsamples, and frictional properties of 5 Hole B subsamples.</p>
End-Century Daily Snow Water Equivalent (SWE) Projections with LSTM model
<p>CMIP5 climate models: CESM-CAM5 (CESM), CNRM-CM5 (CNRM), EC-EARTH (EC), HadGEM2-ES (HadGEM), MIROC5, and GFDL-ESM2M (GFDL). LOCA downscaled forcings are used as inputs to the LSTM model. 'RCP' stands for RCP8.5 and 'hist' for historical simulations. </p> <p>Corresponding code repository: https://github.com/ShihengDuan/code-SWE</p>
Cartoon video of the ICO2CHEM project.
<p>The video described with cartoons the concept behind ICO2CHEM project. </p>
Dataset for paper "What Helps a New GitHub Project Achieve Sustained Activity?"
<p>These data files are data for paper "What Helps a New GitHub Project Achieve Sustained Activity?".</p>
Validation Data used for manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model"
<p>those are the processed data that used for model-data comparison in the manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model", including Lake Surface Temperature and Lake Surface Ice Cover from Great Lakes Surface Environmental Analysis (GLSEA), Surface Air temperature and Precipitation from Climatic Research Unit (CRU). </p>
Analytics of collaborations and performance of citizen science teams during the GEAR cycle 2 of the Crowd4SDG project.
<p>This data frame is part of the deliverable 4.2 of the Crowd4SDG project.</p> <p>It contains the measured analytics of citizen collaborations using new metrics/descriptors developed during the first year of the Crowd4SDG project. </p> <pre>The goal of the Crowd4SDG project is to research the extent to which Citizen Science (CS) can provide an essential source of non-traditional data for tracking progress towards the SDGs, as well as the ability of CS to generate social innovations that enable such progress. In the Crowd4SDG project, the Work Package 4 aims to develop and monitor new metrics and develop statistical models of team engagement and collaboration that contribute to the many-faceted outcomes of the citizen science projects developed within the Crowd4SDG consortium over the 3-years course of the project. Here, we share a dataframe of features collected during the GEAR cycle 2 pertaining to team composition, activity, performance and interaction dynamics. In particular, we leveraged the CoSo platform for collecting self-reported data on collaborations and task allocation structure of participating teams, as well as Slack data for measuring communication networks. The related findings are presented in the deliverable 4.4 of the Crowd4SDG project and serve as a basis for i) exhibiting the potential of using digital traces to derive measures related to team process, ii) highlighting perspectives for monitoring metrics in the next GEAR cycle.</pre>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.