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1,600 results for “input”
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>
AIRA (Atmospheric Rivers Identification Algorithm) input dataset and results
<p>This dataset contains the output of three regional climate simulations covering Europe for the period 1991-2010, used to apply Atmospheric Rivers Identification Algorithm (AIRA in Spanish), and the results of its performance. The simulations were carried out by the MAR group (www.um.es/gmar) of the University of Murcia, using the WRF-Chem model (v3.6.1). Each simulation includes different levels of aerosol interactions.</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>
Model input for "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)"
<p>This dataset contains the numerical model input files that were used to produce the model simulation presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)".</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: \url{https://doi.org/10.48670/moi-00021}, \url{https://doi.org/10.48670/moi-00148}. Refer to the manuscript for references to other data sources.</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 datasets for pangene benchmark at https://github.com/Ensembl/plant-scripts
<p>Gzipped GFF and FASTA files of genome assemblies of datasets ACK, rice3, wheatchr1 and barley used for the pangene benchmark described at https://www.biorxiv.org/content/10.1101/2023.01.03.520531v2 .</p> <p>The results of analyzing these files can be found at https://github.com/Ensembl/plant-scripts/releases/tag/Apr2023</p> <p> </p> <p> </p> <p> </p>
Input files for Húsavík-Flatey Fault Zone dynamic simulations
<p>This repository contains the input files needed to reproduce the simulations shown in the paper "<a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022JB025886">Dynamic rupture models, fault interaction and ground motion simulations for the segmented Húsavík‐Flatey Fault Zone, Northern Iceland</a>"</p>
Input files for DP GPCR-FEP paper
<p>We expended Uni-FEP on the web server Hermite™ (https://hermite.dp.tech/)\cite{hermite} for application in membrane proteins. Uni-FEP calculations were performed on 139 ligands against 8 GPCRs. We released our input structures for FEP calculation, which could serve as a benchmark dataset for future GPCR-FEP studies.</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>
Custom R scripts and input files for manuscript "Evolutionary histories of breast cancer and related clones"
<p>Supporting files for manuscript <em>"Evolutionary histories of breast cancer and related clones"</em>.</p> <p>Contents:</p> <ul> <li>Custom R script and an input file (*.txt) to evaluate clonal structure of single-cell derived organoids using the Gaussian mixture models</li> <li>Custom R script and an input file (*.txt) to estimate mutation rate in normal organoids using the linear regression models </li> <li>Custom R script and input files (*.txt) to generate mutation matrices for phylogenetic analysis using MEGA and treemut </li> <li>Custom R scripts and an input file (*.txt) to estimate the timing of 1q gain, 1q gain doubling, and MRCA emergence</li> </ul>
TLS_input_data_Ciarella_et_al_2023
<p>Preprocessed pairs for TLS search</p>
Input Data for: On the External Validity of Average-Case Analyses of Graph Algorithms
<p><strong>Data</strong></p> <p>All networks from <a href="https://networkrepository.com"><code>networkrepository.com</code></a> [1] with at most 1M edges (fall 2020). Weights and edge directions have been removed. For graphs with isomorphic largest connected component, only one copy has been kept.</p> <p>This is the raw data necessary to reproduce our experiments in <em>On the External Validity of Average-Case Analyses of Graph Algorithms</em>.</p> <p>[1] Ryan A. Rossi and Nesreen K. Ahmed, <em>The Network Data Repository with Interactive Graph Analytics and Visualization</em> (AAAI 2015)</p>
Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.
<p>Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.</p>
MESA input and software files for: 'The imprint of convection on Type I X-ray bursts: Pauses in photospheric radius expansion lightcurves'
<p>Inlists, input models, and other machinery needed to reproduce results in "The imprint of convection on Type I X-ray bursts: Pauses in photospheric radius expansion lightcurves". Includes data files (profiles and histories, and also some movies) for the main "Schwarzschild" run.</p> <p>MESA version: 15140</p> <p>See the README.md for instructions on how to run.</p> <p> </p>
SUMO input route files used for experimental testing in Master's dissertation
<p>SUMO Simulator input route files that were used to generate an edge lane emissions file for each of the two scenarios considered in my Master's dissertation experimental testing.</p>
Input data for Episim Cologne Corona spreading simulation
<p>This dataset is supplementary material for</p> <ul> <li>Müller, S.A., Paltra, S., Rehmann, J., Nagel, K., Conrad, T.O.F. Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2. iScience. 2023;26(9):107554. <a href="https://doi.org/10.1016/j.isci.2023.107554">https://doi.org/10.1016/j.isci.2023.107554</a></li> </ul> <p>The dataset is also used in the <strong>Math+ project EF4-13 "Modeling Infection Spreading and Counter-Measures in a Pandemic Situation Using Coupled Models"</strong> to perform the epidemic simulation studies for Cologne. </p> <p>The open dataset contains a 25 percent sample of the original dataset. The code for running the simulation is also available in this Github repository: <a href="https://github.com/matsim-org/matsim-episim">https://github.com/matsim-org/matsim-episim</a>. </p> <p>For the terms of use, please see the associated LICENSE file.</p> <p>More information can be found on our website: <a href="https://covid-sim.info/">https://covid-sim.info/</a>. If you have questions, please contact <a href="mailto:covid19@vsp.tu-berlin.de">covid19@vsp.tu-berlin.de</a> .</p> <p>Available files:</p> <ul> <li>cologne_snz_entirePopulation_emptyPlans_withDistricts_25pt_split.xml.gz: Population including all persons having activities in one of the events files. The person attributes are homeId, homeCoordinates, age, district of home. The coordinates are in grid accuracy of 300m.</li> <li>cologne_snz_episim_events_sa_25pt_split.xml.gz cologne_snz_episim_events_so_25pt_split.xml.gz cologne_snz_episim_events_wt_25pt_split.xml.gz The episim events files for a weekday, Saturday and Sunday. The events files are filtered for the only necessary types of events (actend, actstart, PersonEntersVehicle, PersonLeavesVehicle).</li> <li>cologne_2020-vehicles.xml.gz File includes a mapping of vehiclesIds to the vehilce type.</li> <li>cologne_facilities_assigned_simplified_grid.xml.gz Including the facilities used in the evnts files. The coordinates are in grid accuracy of 300m.</li> <li>cologne_until20221231_mobility_data.csv Daily mobility data for Cologne for the simulated period.</li> </ul>
Data inputs and analysis script to assess the performance of ASReview
<p>The aim of this analysis was to investigate the performance of ASReview for screening titles and abstracts when performing a systematic literature review of health economic evaluations. To do this, the simulation function within ASReview was used to determine the order in which articles were presented to the reviewer. Moreover, two types of stopping rules were applied on screening with ASReview, and the accuracy and efficiency were determined using retrospective analysis. The analyis is described in detail in: Oude Wolcherink MJ, Pouwels XGLV, van Dijk SHB, Doggen CJM, Koffijberg H. Health Economic Research Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles? Expert Review of Pharmacoeconomics & Outcomes Research. Augustus 2023 doi: 10.1080/14737167.2023.2234639.</p> <p>The 'Assess performance ASReview.zip' file includes input data used for the analysis described above and scripts to perform the analysis and to generate the figures shown in the article above. You are also able to adapt the scripts to perform your own analysis on your own data. Please, read the README file careful and follow the steps indicated there.</p>
Input files for the simulation of KcsA-K+-LAB-TEA, when LAB-TEA is placed in the cytoplasmic region with K+-ion in the channel cavity
<p>Input files for the simulation of KcsA-K<sup>+</sup>-LAB-TEA, when LAB-TEA is placed in the cytoplasmic region with K<sup>+</sup>-ion in the channel cavity. The inputs include,<br> 1. Input files for minimization (*min.in)<br> 2. Input files for heating (*h1.in, *h2.in, and *h3.in)<br> 3. Input files for equilibration (*eq*.in) and production runs (*prd*.in)<br> 4. Input files for the first trajectories start with file name, 1-lab-tea-k-entra*<br> 5. Input files for the remaining different trajectories start with file name, lab-tea-k-entra*<br> 6. Input files for the trajectories with restraint weight on K<sup>+</sup>-ion starting with file name, lab-tea-entra-k-restraint*</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.