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.
1,600
datasets available to search
ShareScore release 0.9.0
Dataset results
1,600 results for “input”
Necessary input data for AgriculturalData
<p>Necessary input data, that are needed to run the AgriculturalData, which computes the input time series for the agricultural trade models Agrimate, TWIST, and multiTWIST.</p> <p>Updated data will be renewed depending on the version.</p>
FRACTESUS_KIT_SA508Cl3_MCT_T0TEM_input
<p>Fractesus project. Fracture test mini-CT. Master curve input SA508 Cl.3. KIT.</p>
Input data and code related to "Utilizing curtailed wind and solar power to scale up electrolytic hydrogen production in Europe"
<p>Datasets and code for the submitted article: "Utilizing curtailed wind and solar power to scale up electrolytic hydrogen production in Europe" </p> <p>by Alissa Ganter<sup>1,2</sup>, Tyler H. Ruggles<sup>2</sup>, Paolo Gabrielli<sup>1</sup>, Giovanni Sansavini<sup>1,*</sup>, Ken Caldeira<sup>2</sup></p> <p><sup>1</sup> Institute of Energy and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland</p> <p><sup>2</sup> Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA</p> <p><sup>*</sup> Corresponding author: email - sansavig@ethz.ch</p> <p>All rights lie with the authors. Refer to the README.docx for a description of the datasets and their usage in the article.</p>
Input data for the exposure assessment case study on air pollution and noise for the province of Utrecht, the Netherlands
<p>Input datasets for the case study described in the manuscript "A computational framework for agent-based assessment of multiple environmental exposures".<br>Use the free 7-Zip to uncompress. Uncompressed size ca 103 GiB.</p> <p>The datasets are licensed under a Creative Commons license (CC-BY 4.0). Contact: o.schmitz@uu.nl</p>
Dataset used as inputs for the D-rex project
Open the record for dataset details and reuse information.
Dataset: Numerical experiments on the sensitivity of Chesapeake Bay N2O cycles to climate warming and nutrient reductions and the associated code and input files
<p>A three-dimensional numerical model of the Chesapeake Bay (East Coast of the United States) was used to simulate the N<sub>2</sub>O cycle. The model is an implementation of the Regional Ocean Modeling System (ROMS, <a href="https://www.myroms.org/" target="_new" rel="noopener">https://www.myroms.org/</a>) with modules for sediment resuspension (Warner et al. 2008) and biogeochemistry (St-Laurent et al. 2020), with the latest addition of N<sub>2</sub>O as a separate state variable. It simulates hydrodynamics and biogeochemistry with a horizontal resolution of approximately 1.8 km and 20 topography-following vertical levels. Physical forcings include the ERA5 reanalysis (3-hourly) and tidal constituents from Szpilka et al. (2016).</p> <p>The dataset includes four primary numerical experiments designed to highlight the sensitivity of the Chesapeake Bay N<sub>2</sub>O cycle to climate warming and terrestrial nutrient management. The reference run was conducted for the year 2016, which represents a normal streamflow year. Three sensitivity experiments retained the same model forcings as in the reference run, except for one of the following combinations:</p> <ol> <li>Decreased atmospheric N<sub>2</sub>O concentrations, decreased atmospheric temperature, and increased riverine nitrate and organic nitrogen concentrations to 1986 levels (<strong>Test1986</strong>).</li> <li>Decreased atmospheric N<sub>2</sub>O concentrations and increased riverine nitrate and organic nitrogen concentrations to 1986 levels (<strong>Test1986warming</strong>).</li> <li>Increased atmospheric N<sub>2</sub>O concentrations, increased atmospheric temperature, and decreased riverine nitrate and organic nitrogen concentrations to 2050 levels (<strong>Test2050</strong>).</li> </ol> <p>The file <code>Results_for_plot.zip</code> includes model outputs used to generate figures, including monthly Bay-wide N<sub>2</sub>O distribution and the daily N<sub>2</sub>O budget integrated over the Bay. In addition to the model outputs, this archive contains the computer code (<code>ROMS_Code.zip</code>) and the input files necessary to reproduce the model results (<code>input_files.zip</code>). The total size of the dataset is approximately 5 GB.</p> <p>References:</p> <p>Scavia, D., Kelly, E. L. A., & Hagy, J. D. (2006). A simple model for forecasting the effects of nitrogen loads on Chesapeake Bay hypoxia. <em>Estuaries and Coasts</em>, 29(4), 674–684. <a href="https://doi.org/10.1007/bf02784292">https://doi.org/10.1007/bf02784292</a></p> <p>St-Laurent, P., Friedrichs, M. A. M., Najjar, R. G., Shadwick, E. H., Tian, H., & Yao, Y. (2020). Relative impacts of global changes and regional watershed changes on the inorganic carbon balance of the Chesapeake Bay. <em>Biogeosciences</em>, 17(14), 3779–3796. <a href="https://doi.org/10.5194/bg-17-3779-2020">https://doi.org/10.5194/bg-17-3779-2020</a></p> <p>Warner, J. C., Sherwood, C. R., Signell, R. P., Harris, C. K., & Arango, H. G. (2008). Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model. <em>Computers & Geosciences</em>, 34(10), 1284–1306. <a href="https://doi.org/10.1016/j.cageo.2008.02.012">https://doi.org/10.1016/j.cageo.2008.02.012</a></p>
Input Files and Processed Results for FreeMHD: validation and verification of the open-source, multi-domain, multi-phase solver for electrically conductive flows
<p><strong>Input Files (StartingFiles.zip) and Processed Results (FreeMHDPaperAllFigures.zip) used to make paper figures. </strong></p> <p> </p> <p>FreeMHD: validation and verification of the open-source, multi-domain, multi-phase solver for electrically conductive flows</p> <p><em>The extreme heat fluxes in the divertor region of tokamaks may require an alternative to solid plasma-facing components, for the extraction of heat and the protection of the surrounding walls. Flowing liquid metals are proposed as an alternative, but raise additional challenges that require investigation and numerical simulations. Free surface designs are desirable for plasma-facing components (PFCs), but steady flow profiles and surface stability must be ensured to limit undesirable interactions with the plasma. Previous studies have mainly used steady-state, 2D, or simplified models for internal flows and have not been able to adequately model free-surface liquid metal (LM) experiments. Therefore, FreeMHD has been recently developed as an open-source magnetohydrodynamics (MHD) solver for free-surface electrically conductive flows subject to a strong external magnetic field. The FreeMHD solver computes incompressible free-surface flows with multi-region coupling for the investigation of MHD phenomena involving fluid and solid domains. The model utilizes the finite-volume OpenFOAM framework under the low magnetic Reynolds number approximation. FreeMHD is validated using analytical solutions for the velocity profiles of closed channel flows with various Hartmann numbers and wall conductance ratios. Next, experimental measurements are then used to verify FreeMHD, through a series of cases involving dam breaking, 3D magnetic fields, and free-surface LM flows. These results demonstrate that FreeMHD is a reliable tool for the design of LM systems under free surface conditions at the reactor scale. Furthermore, it is flexible, computationally inexpensive, and can be used to solve fully 3D transient MHD flows.</em></p>
Model input for initial submission of "A regional physical-biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0)" to GMD
<p>This dataset contains the numerical model input files that were used to produce the model simulation presented in the initual submission "A regional physical-biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0)" to Geoscientific Model Development.</p> <p>When using these files to run a model, most files should be placed inside a directory named INPUT/ that resides in the working directory where the model is being run. The following files should be at the top level in the working directory: data_table, diag_table, field_table, input.nml.</p> <p>For large files, a subset in time is provided for the first year of the simulation. This dataset does not include the ERA5 atmospheric data, which can be downloaded directly from https://doi.org/10.24381/cds.adbb2d47.</p> <p>Portions of the initial and boundary condition data were generated using E.U. Copernicus Marine Service Information:https://doi.org/10.48670/moi-00021. Refer to the manuscript for references to other data sources.</p> <p>Codes for generating regional MOM6 initial conditions, boundary conditions and other necessary model inputs as well as diagnostic scripts are maintained on the NOAA CEFI GitHub Repository: https://github.com/NOAA-GFDL/CEFI-regional-MOM6/. </p>
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>
Input SAR and Optical images for DIL-SDS model
<p>This dataset contains the input SAR and Optical images used in the DIL-SDS model, described in the https://github.com/yongjingmao/DIL_SDS. </p>
Chinese Provincial Multi-Regional Input-Output database for 2012, 2015, and 2017
<p>Please note that the tables are constructed by CEADs. More information and the latest updated can be found in the CEADs website (https://www.ceads.net/data/input_output_tables/)</p> <p>If any question, please contact Heran Zheng (zhengheran@foxmail.com)</p> <p> </p> <p> </p> <p> </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>
Input files of various genomic analyses used to unravel the domestication history of Cannabis
<p>Cannabis sativa has long been an important source of fiber extracted from hemp and both medicinal and recreational drugs based on cannabinoid compounds. Here, we investigated its poorly known domestication history using whole-genome resequencing of 110 accessions from worldwide origins. We show that C. sativa was first domesticated in early Neolithic times in East Asia and that all current hemp and drug cultivars diverged from an ancestral gene pool currently represented by feral plants and landraces in China. We identified candidate genes associated with traits differentiating hemp and drug cultivars, including branching pattern and cellulose/ lignin biosynthesis. We also found evidence for loss of function of genes involved in the synthesis of the two major biochemically competing cannabinoids during selection for increased fiber production or psychoactive properties. Our results provide a unique global view of the domestication of C. sativa and offer valuable genomic resources for ongoing functional and molecular breeding research.</p>
CircaSCOPE demo input for CellProfiler pipeline
<p>This is a demo dataset to use as input images for the CellProfiler pipeline of CircaSCOPE. Images were retrieved with IncuCyte Zoom microscope (Essen BioScience). </p> <p>The images are arranged in directories as follows: YYMM/HH/Vessel/Well-Site-Channel.tif</p> <p>[YY - year,</p> <p>MM - month,</p> <p>HH - hour,</p> <p>Vessel - the vessel number, in this demo- 479 contains untreated control, and 480 contains 100nM Dexamethasone-treated cells</p> <p>Well - coordinates in 24-well plate</p> <p>Site - the field of view number inside each well, between 1-16</p> <p>Channel - C1- green, C2- red, P- phase]</p> <p> </p> <p> </p>
Pedler creek streamflow generation: Model input files for Pedler Creek
<p>This repository contains supplementary material and all of the model input files for the results presented in the article Taking theory to the field: streamflow generation mechanisms in an intermittent Mediterranean catchment</p>
Common Inputs for the CIL Projection System
<p>This data repository provides basic input data for the projection system, https://gitlab.com/ClimateImpactLab/Impacts/impact-calculations/</p> <p>During the installation process for the projection system, this data should be stored in the "shared directory", and the system pointed to it.</p> <p>The repository contains the following directories:</p> <p> - climate: Example climate data files (only data for the year 2000 of CCSM4 is included).<br> - regions: Input files specifying the structure of impact regions.<br> - social: Socioeconomic data used as inputs to the projection system.</p> <p>This repository was prepared by the Climate Impact Lab `socioeconomics/sharing/make_archive.sh` script.</p>
Viet Nam Technology catalogue for power generation and storage. Input for power system modelling
<p>The first Viet Nam Technology Catalogue was published in 2019. This new version includes all the technologies from the 2019 version that have been reviewed and updated where necessary. A main focus of the update has been to add new subcategories of technologies (roof-top solar PV, floating offshore wind, low wind speed turbines, improved flexibility of coal fired plants and pollution prevention technologies for coal power) as well as completely new technology descriptions and data sheets (tidal power, wave power, carbon capture and storage, coal CFB boilers and industrial cogeneration).</p> <p>This publication is developed under the Danish-Vietnamese Energy Partnership.</p> <p>The technologies described in this catalogue cover both very mature technologies and emerging technologies, which<br> are expected to improve significantly over the coming decades, both with respect to performance and cost. This<br> implies that the cost and performance of some technologies may be estimated with a rather high level of certainty<br> whereas, in the case of other technologies, both cost and performance today and in the future is associated with a<br> high level of uncertainty. All technologies have been grouped within one of four categories of technological<br> development described in the section on research and development indicating their technological progress, their<br> future development perspectives and the uncertainty related to the projection of cost and performance data.</p> <p>The technologies in the catalogue include the power production unit and the connection to the grid. This means<br> that the boundary for both cost and performance data are the generation assets plus the infrastructure required to<br> deliver the energy to the main grid. For electricity, this is the nearest substation of the transmission grid. This<br> implies that a MW of electricity represents the net electricity delivered, i.e. the gross generation minus the auxiliary<br> electricity consumed at the plant. Hence, efficiencies are also net efficiencies.</p> <p>The text and data have been edited based on Vietnamese cases to represent local conditions. For the mid- and long-<br> term future (2030 and 2050) international references have been relied upon for most technologies since Vietnamese<br> data is expected to converge to these international values. In the short run differences may exist, especially for the<br> emerging technologies. Differences in the short run can be caused by e.g. current rules and regulations and level of<br> market maturity of the technology. Differences in both the short and long run can be caused by local physical<br> conditions, e.g. seabed material and offshore conditions can affect costs of offshore wind farms and wind speed can<br> affect the dimensioning of rotor vs. generator which can influence the cost, or domestic coal quality can affect<br> efficiency and variable cost of coal-fired plants as well.</p> <p>Land use is assessed but the cost of land is not included in the total cost assessment since this depends on local<br> conditions.</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>
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.