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328 results for “Simulation results”

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zenodo36/100

Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for July-September 2017

<p>Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for July-September 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for July-September 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for July-September 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions in eastern China for January-March 2017

<p>Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions in eastern China for January-March 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for January-March 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for January-March 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for April-June 2017

<p>Simulation results from WRF-CHIMERE with enabling aerosol-radiation interactions and aerosol-cloud interactions in eastern China for April-June 2017 including meteorology and air quality:</p><p>YYYYMM_wrfout.zip:</p><p>Meteorological file including wrfout_YYYY-MM-DD_00_00_00 on each day for April-June 2017, which contains these variables:</p><p>T2, Q2, PSFC, U10, V10, RAINC, RAINSH, RAINNC, PBLH, SWDOWN, GLW, SWUPT, LWUPT, CLDFRA, QCLOUD, P, PB, T, VAPOR, PH, PHB</p><p>YYYYMM_out.zip</p><p>Air quality file including out.YYYYMMDD00_24_PHD.nc on each day for April-June 2017, which contains these variables:</p><p>PM25, O3, SO2, NO2, CO and optdaero.</p>

opencc-by-nc-4.0May 2023View details →
zenodo36/100

FD Simulator test parameters and results from NYC case study

<p>This repository gives the dataset for Fleet-Demand platform (FD platform). The full FD platform code description can be found <a href="https://github.com/BUILTNYU/Fleet-Demand-Platform/tree/main">here</a>.</p> <p>The files are under two categories:</p> <p>1. MATSim input file:</p> <p>&nbsp; &nbsp; &quot;config-with-mode-vehicles-drt-tele_2_income.xml&quot;: configuration file defining input file names and parameters for MATSim in the initial cycle of FD platform cycle (cycle 0).</p> <p>&nbsp; &nbsp; &quot;config-with-mode-vehicles-drt-tele_2_income_updated.xml&quot;: configuration file defining input file names and parameters for MATSim in FD platform cycles after the initial cycle.</p> <p>&nbsp; &nbsp; &quot;population_large_two_drt_added.xml&quot;: initial trip plan containing 35000 agents with initially assigned ride-pooling services (&quot;drt_1&quot; and &quot;drt_2&quot;). The trip plan was extracted from the MATSim-NYC population file, which can be found here.</p> <p>&nbsp; &nbsp; &quot;new_subpopulation_income_onefifth.xml&quot;: subpopulation file assigning agent to either &quot;Low_Income&quot; or &quot;Not_Low_Income&quot;. The value of time (VOT) of the two groups are defined in the configuration file</p> <p>&nbsp; &nbsp; &quot;separated-network_shrunk_clean.xml&quot;: Network file containing road and transit network of Manhatta, Brooklyn, and Queens. This network file is extracted from the&nbsp;MATSim-NYC network file.</p> <p>2. DVRPT input file</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_nodes_update.csv&quot;: File defining the nodes that constructs the ride-pooling service area.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_network_update_new_1_27_max.csv&quot;: File defining the shortest path time cost for all node pairs.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_stops.csv&quot;:&nbsp; File defining the stops of the ride-pooling service.</p> <p>&nbsp; &nbsp; &nbsp;&quot;nyc_sub_links.csv&quot;: File defining the links of the ride-pooling service area.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

WILIAM Data Dictionary and Database of selected simulated scenarios and results

<p>The shared database and open database management system developed&nbsp;for the Integrated Assessment Model WILIAM in the LOCOMOTION project. This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 821105.</p> <p>The shared database and open database management system consists of:</p> <ul> <li>The Data Dictionary, which includes information on the Symbols developed within the project (variables, historical data, constants, parameters, scenario parameters, etc.) and used in the WILIAM model, and information related to their metadata, as well as acronyms, semantic rules, etc. A specific protocol has been defined for the Data Dictionary in order to validate modifications based on the authorised roles of users. The purpose of the Data Dictionary &nbsp;is to enhance the transparency of the WILIAM model by disclosing all the Symbols and data sources used.</li> <li>The WILIAM Database of selected simulated scenarios and results, includes information on the narrative description of selected storylines and selected simulated scenarios and the necessary details to access the inputs used for these scenarios, as well as the future projections of the main output variables of the WILIAM model for selected simulated scenarios. The purpose of the WILIAM Database of selected simulated scenarios and results is to be used as an instrument for dissemination of the results of WILIAM.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

PDB File and MD Simulation results for "The atypical sphingolipid SPB 18:1(14Z);O2 is a biomarker for DEGS1 related hypomyelinating leukodystrophy"

<p>Supplementary structural file for article: &quot;The atypical sphingolipid SPB 18:1(14Z);O2 is a biomarker for DEGS1 related hypomyelinating leukodystrophy&quot;:</p> <p>-Predicted Structure of DEGS1 docked to C16 Ceramide in PDB format</p> <p>- 2.5 &micro;sec Molecular Dynamics Simulation of this DEGS1-Ceramide complex embedded in a DPPC membrane and surrounded by TIP3 water and 150 mM NaCl as mp4&nbsp;(movies) or as original trajectory. In the version with the smaller file size solvent molecules and the membrane are invisible for clarity.&nbsp;</p> <p>Software/Webservices used for generation: AlphaFold, PPM3 web server, CHARM-GUI PDB Manipulator, Maestro/Glide/Ligprep/Desmond (Schr&ouml;dinger Inc.).</p> <p>Version 1 contained videos in mpeg format that caused error with some players. In Version 2 videos are converted to mp4.&nbsp;</p>

opencc-by-4.0Aug 2023View details →
dryad36/100

Data, simulations/projections, and supporting materials for simulated hydrologic responses to climate-change projections for the Lake Tahoe basin: subbasin-scale results

<p>This dataset contains data, simulations, projections, and supporting materials associated with simulated hydrologic responses, at the scale of 60 subbasins comprising the Lake Tahoe Basin, California and Nevada, to a 16-member ensemble of statistically-downscaled projections of climate change, 1950-2099. The process and results are described in detail in</p> <div>Dettinger, M., &amp; Rajagopal, S., 2023, Simulated hydrologic responses to climate-change </div> <div>projections for the Lake Tahoe Basin: Desert Research Institute Publication 41292, 99 p.,</div> <div> </div> <div>which is included here. </div> <div> </div> <div>The dataset as presented here contains 6 files, including one large zipped file that itself contains some 1,975 files, mostly simple text files of data, simulation outputs, and analytical results organized into dozens and dozens of subdirectories to allow specific elements to be identified and isolated. Beyond this large collection, the zipped file also contains copies of the report(s), selected supporting documents, graphical files, codes, and copious #readme.txt files to orient the user. </div>

opencc-zeroSep 2023View details →
zenodo36/100

Model results for Statistical bias correction for CESM-simulated PM2.5

<p>This NC file&nbsp;includes CESM-simulated annual mean aerosol concentrations&nbsp;for 100 years. And the model results are used in paper&nbsp;Statistical bias correction for CESM-simulated PM2.5 (doi: 10.1088/2515-7620/acf917)</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Quantum turbulence in superfluid Fermi gas: results of numerical simulation

<p>Raw data of numerical simulation of quantum turbulence in superfluids Fermi gas.<br>Datasets are raw data used for publication: &nbsp;<br><em>Fermionic quantum turbulence: Pushing the limits of high-performance computing</em><br>by Gabriel Wlazłowski, Michael McNeil Forbes, Saptarshi Sarkar, Andreas Marek, and Maciej Szpindler<br><a href="https://doi.org/10.1093/pnasnexus/pgae160"><em>PNAS Nexus</em>, Volume 3, Issue 5, May 2024, pgae160</a></p>

opencc-by-4.0Sep 2023View details →
dryad36/100

Data, simulations/projections, and supporting materials for simulated hydrologic responses to climate-change projections for the Lake Tahoe basin: subbasin-scale results

Open the record for dataset details and reuse information.

publicSep 2023View details →
dryad36/100

Limb work and joint work minimisation reveal an energetic benefit to the elbows-back, knees-forward limb design in parasagittal quadrupeds. Supplementary material including data, simulation code and simulation results

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publicNov 2020View details →
dryad36/100

Solar wind ENA precipitation in the Martian atmosphere: Monte Carlo simulation results

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad36/100

Scheduling Mechanisms to Control Spread of Covid-19 (Simulation Results)

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publicJun 2021View details →
dryad36/100

Simulated results from an agent-based model examining inequality and innovation in social networks

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publicNov 2023View details →
dryad36/100

Data from: Reindeer trampling promotes vegetation changes in tundra heathlands: results from a simulation experiment

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publicFeb 2020View details →
dryad36/100

All simulation results, figures and code regarding the manuscript: Calibrating models of cancer invasion: parameter estimation using Approximate Bayesian Computation and gradient matching

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publicMar 2021View details →
dryad36/100

Alpine climate and soils heterogeneity data and simulation results

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publicJan 2023View details →
dryad36/100

Supplementary Materials include results of simulation experiments to investigate the impact of phylogenetic regression with model violations.

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publicMay 2024View details →
zenodo32/100

Matsim Simulation Results (disaggregated)

<p>Matsim Simulation results at disaggregate level are based on the following 2 datasets files for each city i.e. Bologna, Hasselt and Vantaa. The details are as follows:</p> <p>1. The plan.xml file contains the population together with activity-travel details containing trip route information. All these results are for the base cases.&nbsp;</p> <p>2. Config.xml file contains parameters/details required to run Matsim simulation.</p>

opencc-by-4.0Jan 2020View details →
zenodo32/100

Matsim Simulation Aggregated Results Vantaa

<p>This dataset contains aggregated results for the following scenarios based on Matsim simulations.</p> <p>1. Base scenario</p> <p>2. Car access restriction scenario (Policy 1)</p> <p>3. Increased in bus frequency scenario (Policy 2)</p>

opencc-by-4.0Jan 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.