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1,600 results for “input”
QM and FF input and output files of Li(FSA)(SN)2 classic MD
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Input files for T4 lysozyme free energy calculations with DMBIS non-bonded force field parameters
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Seurat object input file - Galaxy Training Material
<p>A Seurat input file for conversion to AnnData.</p>
Input datasets for the Stellar Discovery (S-Disco) EXPLORE app
Gaia RVS spectra, stellar model grids, Gaia ID catalog
Input data of the IAP-CAS S2S system
<div> <div> <div> <p>This is the boundary conditions and input data for the IAP-CAS S2S system.</p> </div> </div> </div>
Quantifying the contribution of individual inputs used in Zero Budget Natural Farming
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Model inputs and outputs for "Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)"
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AGATNet Input Data
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Input data of Ham et al. (2019)
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Input files and R scripts for the ABC analyses of Quercus acutissima and Q. chenii populations
<p>Input files and R scripts for the ABC analyses of Quercus acutissima and Q. chenii populations</p>
Inputs and outputs for monolayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"
<p>Inputs and outputs file for simulations of POPC and DPPC Monolayers at 298K. For details see:</p>
pGrid Combinations of Input Parameters
<p>Contains all combinations of seed and models.</p>
Input data for Vahmani et al 2021 AH
<p>Input data for Vahmani et al 2021 AH</p>
An AAV Gene Therapy Computes Over Multiple Cellular Inputs to Enable Precise Targeting of Multifocal Hepatocellular Carcinoma in Mice
<p>Data underlying the figures in the publication “An AAV gene therapy computes over multiple cellular inputs to enable precise targeting of multifocal hepatocellular carcinoma in mice”, published in <em>Sci. Transl. Med.</em>, <strong>2021</strong>, 13, eabh4456.</p> <p><a href="https://doi.org/10.1126/scitranslmed.abh4456">DOI: 10.1126/scitranslmed.abh4456</a></p> <p>Table of contents:</p> <p><strong>1. Supplementary Material</strong>: File containing Materials and Methods, <em>Fig S1-S8</em>, <em>Table S1</em>, Legend for <em>Table S2</em>, Legends for data files <em>S1</em> and <em>S2</em> and References (63-65).</p> <p><strong>2. Dataset 1.xlsx</strong>: Raw data points used to create the main figures of the paper (<em>1C, 1D, 2B, 2C, 2E, 2G, 2H, 2I, 2K, 3A, 3B, 3C, 4B, 4C, 51, 6A, 7A, 7B, 8B, 8C </em>and<em> 8F</em>) arranged in worksheets panel by panel. The processing steps are described in the methods section of the manuscript and in the supplementary material.</p> <p><strong>3. Dataset 2.xlsx:</strong> Raw data points used to create the supplementary figures of the paper (<em>S1A, S1B, S1C, S3D, S3E, S4A, S4B, S5B, S8A, S8B </em>and <em>S8C</em>) arranged in worksheets panel by panel. The processing steps are described in the methods section of the manuscript and in the supplementary material.</p> <p><strong>4. Table S2</strong>: Experimental data for <em>Table S2.</em></p>
Input Sensitivity
<p>Dataset to study the input sensitivity of software systems.</p>
TracBEV input data
<p>This data set is used with the software tool <a href="https://github.com/rl-institut/tracbev">TracBEV</a> to calculate locations for charging infrastructure from <a href="https://github.com/rl-institut/simbev">SimBEV</a> results. The following files are included in this data set:</p> <p><strong>boundaries.gpkg</strong><br> Boundaries for regions in Germany, split by <a href="https://de.wikipedia.org/wiki/Amtlicher_Gemeindeschl%C3%BCssel">AGS</a>.</p> <p><strong>housing_data.gpkg</strong><br> Number of houses per type (EFH, MFH) in a 100x100m grid.<br> Modified data set based on <a href="https://www.zensus2011.de/DE/Home/home_node.html">Zensus 2011</a>.</p> <p><strong>hpc_positions.gpkg</strong><br> Possble HPC charging points with weights.<br> Own creation based on <a href="https://www.openstreetmap.org/copyright">OSM</a> data, <a href="https://www.zensus2011.de/DE/Home/home_node.html">Zensus 2011</a> data and the <a href="https://www.bundesnetzagentur.de/DE/Fachthemen/ElektrizitaetundGas/E-Mobilitaet/start.html">BNetzA Ladesäulenregister</a>.</p> <p><strong>landuse.gpkg</strong><br> Filtered <a href="https://www.openstreetmap.org/copyright">OSM</a> data for landuse.</p> <p><strong>poi_cluster.gpkg</strong><br> Possible public charging points with weights.<br> Own creation based on <a href="https://www.openstreetmap.org/copyright">OSM</a> data.</p> <p><strong>public_positions.gpkg</strong><br> Existing public charging infrastructure.<br> Filtered version of the <a href="https://www.bundesnetzagentur.de/DE/Fachthemen/ElektrizitaetundGas/E-Mobilitaet/start.html">BNetzA Ladesäulenregister</a>.</p> <p> </p>
Planar Graph Classifier - Ego Facebook input
<p>Ego Facebook social network graphs acquired from the Stanford Large Network Dataset Collection.</p>
CryoGridLite: Model input for pan-Arctic simulations at 1° resolution from 1700 to 2020
<p><strong>CryoGridLite</strong> is a lightweight version of the more complex and process-rich <strong>CryoGrid Community model</strong> (<a href="https://gmd.copernicus.org/preprints/gmd-2022-127/">Westermann et al. 2022</a>).</p> <p>This archive contains the following input datasets which are required to run the model.</p> <p><code>./FORCING.zip</code> The meteorological forcing data.<br> <code>./PARA.zip</code> Parameter files describing the ground stratigraphies etc.</p> <p>The model code can be found here: <a href="https://zenodo.org/record/6619537">10.5281/zenodo.6619537</a></p> <p>Output data of pan-Arctic simulations can be found here: <a href="https://zenodo.org/record/6619260">10.5281/zenodo.6619260</a></p>
HiPACE++ input scripts for "Self-stabilizing positron acceleration in a plasma column"
<p>This dataset presents the <a href="https://github.com/Hi-PACE/hipace">HiPACE++</a> input scripts required to re-create the data of Fig. 2 and 4 in the article "Self-stabilizing positron acceleration in a plasma column" by S. Diederichs, C. Benedetti, M. Thévenet, E. Esarey, J. Osterhoff, and C. B. Schroeder.</p>
MELLODDY-Predictor Software input files
<p>Dummy input files used in the MELLODDY-Predictor Software of the MELLODDY project</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.