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ShareScore release 0.9.0
Dataset results
477 results for “input data”
Sector-coupled input data for optimizing the German transmission grid
<p>This repository contains input data for the open-source python tool <a href="https://github.com/openego/eTraGo">eTraGo</a> (<strong>e</strong>lectricity <strong>Tra</strong>nsmission <strong>G</strong>rid <strong>o</strong>ptimization) version 0.9.0.<br> This data will be uploaded to the <a href="https://openenergy-platform.org/">OpenEnergy Platform</a> which can be accessed by eTraGo. This dataset is an intermediate solution until the data is uploaded.</p> <p>The published data includes the sector-coupled transmission grid data for two scenarios (eGon2035 and eGon2035_lowlfex). It was created with the open-source tool <a href="https://github.com/openego/eGon-data/">eGon-data</a> within the research project <a href="https://ego-n.org">eGon</a>. All input data sets as well as the code are available under open source licenses.</p> <p>The data is stored as a PostgreSQL database in the attached backup file. First, the required schemas and extensions have to be created within the database by running the following SQL statements:</p> <p><code>CREATE SCHEMA grid;<br> CREATE SCHEMA boundaries;<br> CREATE EXTENSION postgis;</code></p> <p>Afterwards the data can be restored by using e.g. pgAdmin or via PostgreSQL's <a href="https://www.postgresql.org/docs/current/app-pgrestore.html">pg_restore</a> command (replace <code>HOST</code>, DATABASE_<code>NAME, PORT</code> and <code>USER</code> by your settings):</p> <p><code>pg_restore --host HOST --port PORT --username USER --no-password --dbname </code>DATABASE_<code>NAME --no-owner --no-privileges --verbose "etrago_data_egon2035.backup"</code></p>
Input data for the paper "Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation"
<p>This repository contains the input data necessary to reproduce the modeling results shown in the paper "Assessing the viability of CO2 storage in offshore formations of the Gulf of Mexico at a scale relevant for climate-change mitigation", published at the International Journal of Greenhouse Gas Control journal in May 2023.</p>
Data and code for: Excitation creates a distributed pattern of cortical suppression due to varied recurrent input
<p>Data and code for research article:<br> "Excitation creates a distributed pattern of cortical suppression due to varied recurrent input"<br> <br> Unzipped archive should have the following structure:</p> <pre><code>── corticalSuppressionRepo ├── data │ ├── 2p_longStim_data.npz │ ├── 2p_shortStim_data.npz │ ├── ephys_dynamics_data.npz │ ├── ephys_spatialDistribuition_data.npz │ ├── ephys_timeseries_data.npz │ └── widefield_stim_data.npz ├── notebooks │ ├── 2p_longStim.ipynb │ ├── 2p_shortStim.ipynb │ ├── balancedStateModel_sim.ipynb │ ├── ephys_dynamics.ipynb │ ├── ephys_spatialDistribution.ipynb │ ├── ephys_timeseries.ipynb │ └── widefield_stim.ipynb ├── src │ ├── analysisFunctions.py │ └── randNetSimulation.py └── environment.yml </code></pre> <p>Build and activate environment from environment.yml:</p> <pre><code>conda env create -f environment.yml conda activate minenv</code></pre> <p>Each notebook should run using relative path locations, pulling data from the data directory and sometimes importing code from the src directory.</p>
[VISIR-2: input data for benchmark runs] LSE
<p>Graph, wave field, and namelists needed to run the LSE benchmark for the VISIR-2 ship weather routing model.</p>
Surrogating Physician-recorded SCORE2 Risk Calculator Inputs by Using Auxiliary Data
ClinicalTrials.gov study NCT06831890. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions
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Data from: Differential processing of nociceptive input within upper limb muscles
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Data from: Getting to the root of organic inputs in groundwaters: stygofaunal plant consumption in a calcrete aquifer
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PAtCh-Cap: input strategy for improving analysis of ChIP-exo data sets and beyond
GEO Series GSE79563. Homo sapiens. 7 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Expression data from Drosophila heads at difeerent temperatues, after AGO1 immnuprecipitation or input [microarray]
GEO Series GSE124201. Drosophila melanogaster. 12 samples. Type: Expression profiling by array.
Ultra-low-input native ChIP-seq data of four germ-cell types during mouse spermatogenesis
GEO Series GSE137742. Mus musculus. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Input data for post-TB analysis
<p>Input data for a post-TB analysis. See https://github.com/petedodd/post</p>
Input of Optimized gross primary productivity over the croplands within the BEPS particle filtering data assimilation system (BEPS_PF v1.0)
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Input data for R script
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Selenium_test_2_Input_data
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Selenium_test_1_Input_data
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Selenium_test_3_input_data
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Input Data for C-BREC Model v1.2.1
<p>This represents the necessary input data for running the <a href="https://schatzcenter.org/cbrec">California Biomass Residue Emissions Characterization (C-BREC) Model</a>. This is supplemental data for <a href="https://doi.org/10.5281/zenodo.5230273">C-BREC release v1.2.1</a>. The C-BREC Model code can be found on GitHub at <a href="https://github.com/schatzcenter/CBREC">https://github.com/schatzcenter/CBREC</a>.</p>
Input data: Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger
<p>Silo input files to reproduce the performance measurements.</p>
Input Strategy for Improving Analysis of ChIP-exo Data and Beyond
GEO Series GSE79565. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
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.