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.
477
datasets available to search
ShareScore release 0.9.0
Dataset results
477 results for “input data”
Computational modeling and analytical validation of singular geometric effects in fault data using a combinatorial approach - Input and processed data
<p>The archive contains the input and processed data for the companion manuscript.</p> <p>The input data contains XYZ coordinates of points documenting the investigated interfaces. The output datasets contain directional data from applying the combinatorial algorithm to point data sets.</p> <p>We have also included .VTU and .PVSM files for visualization of the geological settings in ParaView.</p>
Data input for Modelling investment and dispatch decisions for flexibility options
<p>This dataset contains data on:</p> <ul> <li>Time series of scenario-dependent residual load per country</li> <li>Technology-specific data</li> <li>NTC data</li> <li>DSM process data</li> <li>Data for dispatchable RES</li> </ul>
Input Data
<p>Dataset containing:</p> <ul> <li>iRES characteristics</li> <li>Country characteristics</li> <li>Raster data</li> <li>Electricity demand time series</li> </ul>
ONIX input data for the 5-MWe reactor simulation
<p>This Zenodo repository hosts inputs files and output data from the simulation of the North Korean's 5-MWe reactor. This data is part of a research project published in the following article:</p> <p>J. de Troullioud de Lanversin, M. Kütt, "Verifying North Korea's Plutonium Production with Nuclear Archaeology," Science & Global Security</p> <p>ONIX (https://onix-documentation.readthedocs.io/en/latest/) is an open-source depletion software for nuclear reactor simulations and nuclear archaeology. It is written in Python 3 and offers coupling with the open-source transport code OpenMC (https://github.com/openmc-dev/openmc).</p> <p>If you have questions please contact Julien: j.detroullioud@gmail.com</p>
Large eddy simulation input data for publication "Pressure fields in the airflow over wind-generated surface waves" by Funke et al.
<p>Input files allow for the simulation of a turbulent flow over a sinusoidal surface using the PALM LES model, version 6.0, revision 4901.</p>
mosartwmpy sample input data; 1980 - 1985
<p>Sample input data spanning the years 1980-1985 for running the mosartwmpy water routing and management model: https://github.com/IMMM-SFA/mosartwmpy</p>
Input data for RemoTeC synthetic measurements and retrieval
<p>RemoTeC is a retrieval algorithm developed for the retrieval of trace gas column-averaged dry air mole fractions from measured level 1b radiance spectra in the near-infrared (NIR) and shortwave-infrared (SWIR) bands. It is open access software developed by The Netherlands Institute for Space Research (SRON) and Karlsruhe Institute for Technology (KIT). </p> <p>The dataset available here is the input data for the RemoTeC synthetic measurement and retrieval code. The source code for these algorithms can be found at:</p> <p><a href="https://bitbucket.org/sron_earth/remotec_synthetic_measurements/src/master/">https://bitbucket.org/sron_earth/remotec_multi_purpose/src/main/</a></p> <p>Here we provide the data for both of these algorithms. The retrieval code should be used in conjunction with the synthetic measurement generator, but the synthetic measurement generator can be used as stand alone code. Any publications from using either of these codes should reference DOI for this dataset.</p>
Implementing Riverine Biogeochemical Inputs in ECCO-Darwin: A Sensitivity Analysis of Terrestrial Fluxes in a Data-Assimilative Global Ocean Biogeochemistry Model
<p>Resolving riverine biogeochemical inputs in ocean biogeochemistry models is pivotal for capturing the spatiotemporal variability of nutrients and carbon in coastal regions and in the global ocean. ECCO-Darwin is a pioneering data-assimilative global-ocean biogeochemistry model, which, to date, has focused on the pelagic zone. In this work, we use an optimized version of ECCO-Darwin to perform a sensitivity analysis to quantify the response of the open ocean and coastal margins to lateral inputs of carbon and nutrients. We generate riverine inputs by combining point-source freshwater discharge from JRA55-do with the Global NEWS 2 watershed model, accounting for lateral inputs from 5171 watersheds worldwide. While adding carbon and nutrients along with freshwater improves biogeochemical skill in river plume regions and coastal waters, the open-ocean response may be overestimated due to an excess of carbon and nutrients advected offshore. This highlights the need for a more nuanced representation of land-to-ocean and nearshore processes for quantifying how global ocean primary production and carbon cycling respond to land-to-ocean inputs.</p>
Inputs (forcing and observations) ready for use by 'MuSA: The Multiscale Snow Data Assimilation System (v1.0)'
<p>MuSA is a snow data assimilation system that can fuse observations with snowpack simulations generated by the Flexible Snow Model (FSM2). This repository contains meteorological forcing developed with the Micromet model and 5 m resolution snow depth observations in the Izas basin (central Spanish Pyrenees) generated with drones, ready to be used in MuSA.</p>
LHM fresh-salt 4.1 input data
<p>This dataset includes the necessary input file to run the LHM fresh-salt workflow, version 4.1. After checkout of the git-repository at https://gitlab.com/deltares/imod/nhi-fresh-salt/-/tags/LHM_fresh-salt_4.1_final, extract the zipfile to the location ./data/1-external.</p> <p>The data can be viewed and downloaded separately at the NHI dataportal: https://data.nhi.nu</p>
Abeshu-etal_2023_GMD: Model Input and Output data
<p>1. Input data required to conduct the experiment</p> <p>2. Model output data for reproducing the manuscript figures</p>
SimBEV input data (probabilities)
<p>This dataset includes aggregated probabilities for the creation of vehicle driving profiles used in the simulation tool <a href="https://github.com/rl-institut/simbev">SimBEV</a>. The probabilies are based on the survey <a href="https://www.mobilitaet-in-deutschland.de/publikationen2017.html">Mobilitaet in Deutschland 2017</a>.</p>
Input data for "Characterisation of the mechanism of Bile Salt Hydrolase substrate specificity by experimental and computational analyses"
<p>Topologies, coordinates, input and analysis scripts for Amber20 simulations performed in "Characterisation of the mechanism of Bile Salt Hydrolase substrate specificity by experimental and computational analyses", Structure, 2023</p>
Benchmark denoising strategies on fMRIPrep output - input data
<p>All inputs required to build the figures and statistics in the jupyter book.<br> Including: summary statistics for the figures and average connectomes per dataset.<br> Untar the file and put it under the `inputs/` directory.</p> <p>Repository: https://github.com/SIMEXP/fmriprep-denoise-benchmark</p> <p>Book: https://simexp.github.io/fmriprep-denoise-benchmark/</p> <p> </p>
ELTRAMOD-dec's data inputs
<p>The repository comprises all exogenous modelling data required for employing the fundamental decomposed investment and dispatch model for the European electricity markets ELTRAMOD-dec.</p> <p>The market model attached to the data set is published here: <a href="https://gitlab.hrz.tu-chemnitz.de/hobbie--tu-dresden.de/eltramod-dec">https://gitlab.hrz.tu-chemnitz.de/hobbie--tu-dresden.de/eltramod-dec</a>.</p> <p>A detailed description of the data set and the optimising power market model can be found in the disseration of the repository owner here: <a href="https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-902715" target="_blank" rel="noopener">https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-902715</a>.</p>
Input data for PCR-GLOBWB-RF (30 arcmin)
<p>Input data for the 30 arcmin hybrid global streamflow modelling framework described in 'Global streamflow modelling using process-informed machine learning'. Contains the location of the selected 2286 stations and their respective observed discharge (GRDC), input meteorology, input catchment parameters and the state variables and streamflow from the uncalibrated PCR-GLOBWB.</p>
FunMap input expression data matrices
<p>This gzipped tar file contains mRNA and protein expression matrices for 11 different cancer types. Five of them contain both tumor and normal samples, while six of them contain only tumor samples.</p>
WRF(v4.0)-SUEWS(2018c): input data for the evaluation at two UK sites
<p>This archive includes input data for the evaluation at two UK sites (KCL and SWD) in the WRF-SUEWS model development paper. </p> <p> </p> <p>WRF-SUEWS code for the situations can be accessed at <a href="https://github.com/Urban-Meteorology-Reading/WRF-SUEWS/releases/tag/paper-WRF4.0-SUEWS2018c">https://github.com/Urban-Meteorology-Reading/WRF-SUEWS/releases/tag/paper-WRF4.0-SUEWS2018c</a></p> <p> </p> <p> </p>
Input data for executing SELARU 1.0 application for Indonesia energy system optimization case study
<p>Input data for SELARU modelling framework application in a case study to demonstrate the impact of spatially explicit representation for energy system optimization, particularly in depicting incremental grid expansion and its contribution to accumulation of economies of scale. The case study focuses on the electricity sector of Indonesia to represent a highly complex and geographically diverse energy system. SELARU modelling framework is applied using three spatial representations: single-node model, low resolution multi-node model and high resolution multi-node model. Detailed information about the spatial representations can be found in <a href="https://doi.org/10.31219/osf.io/aw4bd">https://doi.org/10.31219/osf.io/aw4bd</a>.</p>
Input and output data
<p>This is the Input and Output data used in the estimation of the total factor productivity growth of health systems in African LDCs for the 2008-2018 period. </p>
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.