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695 results for “model output”
Forcing files and Model output for "Contrasting impacts of the South Pacific Split Jet and the Southern Annular Mode modulation on Southern Ocean circulation and biogeochemistry"
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Slab Ocean forcing file and model output for "Seasonal Transitions and the Westerly Jet in the Holocene East Asian Summer Monsoon"
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Methyl bromide atmosphere-ocean box model code, inputs, and outputs
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Photochemical Model Output For Restricted Inverse
<p>Dr. Michael Kleeman at University of California, Davis contributed a photochemical mechanism in Fortran which was modified to create these two text files. This is a box model of a system photochemical reactions used when teaching the modeling of atmospheric photochemistry.</p> <p>Each column of S.txt is an integrated rate of reaction over 6 minutes. Each column of delC.txt is a change in concentration over 6 minutes for various species. Each new row is a new 6 minute time-step. </p> <p>These two text files are used in a script that constructs a restricted inverse. Further documentation on the system of reactions, the mechanism and the purpose of these files can be found in the archive GenerateAG, DOI: 10.5281/zenodo.3712458</p> <p>For questions please contact P. Obin Sturm at posturm@ucdavis.edu</p>
Model Outputs for Lobster Farm location Statistics
<p>Results of the Delft3D model for summer and winter scenarios to look at how the current velocities vary between the different areas of the lobster farm, results compared using ANOVA and post hoc statistical tests.</p>
Supporting model output for article "Relative Impact of Sea Ice and Temperature Changes on Arctic Marine Production"
<p>The following is a summary of processed model output data from a series of HiLAT model runs. A description of the model runs and visualization of model output and analysis can be found in the accompanying manuscript.</p> <p>Gibson, G.A., Weijer, W., Jeffery, N. and Wang, S (2020) Relative impact of sea ice and temperature changes on Arctic marine production. Journal of Geophysical Research: Biogeosciences. DOI: 10.1029/2019JG005343</p> <p>The model outputs and accompanying research was supported by the National Science Foundation 173886 and by DOE | SC |Biological and Environmental Research (BER).</p> <p>There are 4 versions of most output file types, corresponding to the 4 experiments that were conducted.</p> <p>These experiments are:</p> <p>i) the baseline model simulation (Base);</p> <p>ii) a moderate ice reduction experiment (S1);</p> <p>iii) a dramatic ice reduction experiment (S2); and</p> <p>iv) an atmospheric warming scenario (RCP45).</p> <p>Each of the 4 experiments is described in detail in Gibson et al (2020).</p> <p>Many variables in the output files are regional averages where model regions are indicated by a number *note - for aesthetics, the numbering used in the model output files differs slightly from the numbering used in the accompanying manuscript. </p> <p>Bering Sea =1</p> <p>Chukchi Sea =2 </p> <p>East Siberian Sea =3</p> <p>Laptev Sea =4 </p> <p>Beaufort Sea =5</p> <p>Barents Sea =6</p> <p>Canadian =7 </p> <p>Eurasian Basins =8 </p> <p>Nordic Seas =9</p> <p>Labrador Sea=10</p> <p>Kara Sea =11</p> <p> </p> <p><strong>Grid </strong></p> <p>gx1v6_polar_mask.10.12.18.nc This file is the original grid file used for all model runs with the addition of Arctic_Region and Antarctic_Polar_Front variables which indicates which grid cells are in the model regions described above.</p> <p> </p> <p><strong>Forcing</strong></p> <p>ncep_RCP45 ncep.t_10.T62.*.nc where * is 1948-2009 These files contain the modified atmospheric forcing used for the RCP45 model experiment. The unmodified NCEP forcing is freely publically available elsewhere to not duplicated here</p> <p> </p> <p><strong>Ice </strong></p> <p>Ice-Regional-Monthly-177-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file contain the monthly averaged ice variables (ice area, ice algae production) for each model region for the last ten years of the model run.</p> <p> </p> <p>cice-monthly-177-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file are the monthly averaged output filed from the cice model. Variables are averaged over each model analysis region.</p> <p> </p> <p>Ice_snow_depth_region_Avg-137-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file contain the regionally averaged ice and snow depth for each analysis region.</p> <p> </p> <p>IceVol_Base-137-186.nc Contains ice variable file for the baseline model run. Model contains ice variables hi and aice for every grid cell of the model domain. Ice volume was computed as hi * Tarea (from grid file).</p> <p> </p> <p>Annual-SummerAvg-IceArea-177-186_*.nc Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average ice area averaged over Summer months (JuneAugust) for last 10 years of model run (200-2009) for each grid cell in the HiLAT model</p> <p> </p> <p><strong>Ocean variables </strong></p> <p>TempNitrate TEMP_NO-177-186.nc This file contains model estimates of temperature and nitrate for the baseline model run for model years 177-186 (2000-2009, the last en years of the model run) for the upper five model layers (500, 1500, 2500, 3500, 4500 cm).</p> <p> </p> <p><strong>CO2flux </strong></p> <p>AnnAvgAllCflux*.nc</p> <p>Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average CO2 Flux for last 10 years of model run (200-2009) for each grid cell of the HiLAT model.</p> <p> </p> <p>CO2flux_region_avg-177-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average CO2 Flux for last 10 years of model run (2000-2009) for each region of the HiLAT model.</p> <p> </p> <p><strong>Ocean Production </strong></p> <p>OceanProd_Year-147-156-*.nc OceanProd_Year-157-166-*.nc OceanProd_Year-167-176-*.nc OceanProd_Year-177-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. These file contain the annual average vertically integrated ocean phytoplankton production for each grid cell. Each file contains 10 model years is the sum of diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p>Region_production_by_phyto_group-diat_ps-137-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. These file contain the annual average vertically integrated ocean phytoplankton production for each region. Each file contains group specific production for diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p>OceanProd_Daily-177-186-BASE.nc This file contains the daily average vertically integrated ocean phytoplankton production for each grid cell. The file contains 10 model years. Production is the sum of all four phytoplankton groups - diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p> </p> <p><strong>PAR </strong></p> <p>PAR-MonthyAvg-177-168-*.nc</p> <p>Photosynthetically Active Radiation in the ocean. Where * indicates model run - Base, S1, S2 or RCP45.</p>
Numerical model output data for publication "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low"
<p>Contains MITgcm model output data to reproduce the analyses of the paper "Control of the oceanic heat content of the Getz-Dotson Trough, Antarctica, by the Amundsen Sea Low", by Dotto and co-authors, published in Journal of Geophysical Research-Oceans (doi: 10.1029/2020JC016113). The model simulation is presented and described in Kimura et al. (2017; doi: 10.1002/2017JC012926) and in Dotto et al. (2019; doi: 10.1175/JPO-D-19-0064.s1). See the 'ReadMe.txt' file for a description of the data. </p> <p> </p>
Sea salt optical modeling - output data
<p>Model data for optical calculations of dried sea salt aerosol</p> <p>This repository provides the raw output data used for plots in a manuscript submitted to the Journal of Geophysical Research: Atmospheres.</p> <p>The folders contain optical data from calculations performed with the discrete dipole approximation (DDA) code ADDA (version 1.3b4) and the T-matrix code Tsym (version 6.6α) for dried sea salt aerosol particles. The output of each code was saved in the folder with the respective name.</p> <p>For an interpretation of the raw output, please see documentations of the respective codes [1,2].</p> <p>The subdirectory adda contains results for four main types of geometries (cubes, Gaussian random cubes, convex polyhedral, and non-cubical superellipsoids). In addition, the results for these geometries an additional subfolder for calculations performed to gauge the uncertainties stemming from dipole spacing and orientation averaging. Uncertainty estimated were performed for two superellipsoids with a roundness parameter of n=e=0.0 (i.e., a cube) and a roundness parameter of n=e=0.2 (i.e., a rounded cube) respectively. The subdirectory Tsym contains results for superellipsoids. For definitions of the shapes, please see the manuscript.</p> <p>The naming of the folders within the subdirectories reflects the changes of the parameters investigated.</p> <p>Version 2 of the data set contains the files contained in Version 1, as well as, the results from additionally performed calculations and additional README files. The additionally performed calculations include further calculations related to impact of dipole spacing and number of orientations considered (in case of ADDA calculations) and an additional refractive index (in case of Tsym calculations).</p> <p> </p> <p> </p> <p>[1] ADDA (version 1.3b4): <a href="https://github.com/adda-team/adda/releases/tag/v1.3b4">https://github.com/adda-team/adda/releases/tag/v1.3b4</a></p> <p>[2] Tsym (version 5.2): <a href="https://github.com/michaelkahnert/Tsym-5.2">https://github.com/michaelkahnert/Tsym-5.2</a></p> <p>(The Tsym output files do not differ between versions 5.2 and 6.6α)</p>
Rapid Radiative Transfer Model Output Evaluating Cryospheric Surface Emissivities
<p>Rapid Radiative Transfer Model (RRTM) (Mlawer, et al.,1997) output use to evaluate three cryospheric surface emissivities spectrally across three atmospheric profiles. README file attached provides information regarding output format. </p>
Input and output model data for Horvath et al. 2020 (https://doi.org/10.5194/bg-2020-149)
<p>Please see "readme" file. </p>
Supporting information, WRF output, and processed WRF files used for the generation of the manuscript "Observational and modelling analysis of Canada's only F5/EF5 tornado"
<p>WRF simulation output and processed files used to generate the figures and calculations in the manuscript "Observational and modelling analysis of Canada's only F5/EF5 tornado". Two zipped folders are attached, one is from the original control simulation with the microphysics scheme on (MP), and the other is from the experimental simulation with the microphysics scheme turned off (NOMP).</p><p>Each simulation zipped folder includes sub-directories containing the processed observed and simulated surface station data, surface wet-bulb potential temperature, cross sections (the MP simulation only), and convective parameter fields at 2100 UTC 22 June 2007.</p><p>A supplemental material in the form of a movie showing the radar observation between 2000 UTC 22 June 2007 and 0000 UTC 23 June 2007 is also attached. See the manuscript's Figure 5 caption for more information on the data shown in the animation.</p>
MUSDB18-HQ Test Set Inference Outputs for Models from "A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation"
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Model hydrodynamic outputs and example codes for running different Lagrangian particle tracking packages
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MT data file and output resistivity model file
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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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The U-Net model outputs for lee wave identification
<pre><span>More than 3,000 lee waves and their characteristic images identified using the U-Net model。</span></pre>
Structures, Scripts and Outputs for In Silico Modeling and Scoring of PROTAC-Mediated Ternary Complex Poses
<p>The input structures, run and analysis scripts, and output files for the PROTAC modeling work as reported in the paper.</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>
Machine-learning convection model output file for use in convection pattern estimation.
<p>Output file from the model described in:</p> <p>Bristow, W. A., Topliff, C. A., & Cohen, M. B. (2022). Development of a high-latitude convection model by application of machine learning to SuperDARN observations. <em>Space Weather</em>, 20, e2021SW002920. <a href="https://doi.org/10.1029/2021SW002920">https://doi.org/10.1029/2021SW002920</a></p> <p>The file provides model convection patterns for the period 0000 UT to 2359 UT on 26 March 2014</p> <p> </p>
Fig. 2 in Comparison of high resolution hydrodynamic model outputs with in-situ Argo profiles in the Ionian Sea Abstract
Fig. 2: A: Confidence level along depth for Argo-model average temperature profile differences in South Adriatic (blue) & Otranto Strait (green). B: Confidence level along depth for Argo-model average temperature profile differences in Northern (yellow) and Southern (red) Ionian. C: Confidence level along depth for Argo-model average salinity profile differences in South Adriatic (blue) & Otranto Strait (green). D: Confidence level along depth for Argo-model average salinity profile differences in Northern (yellow) and Southern (red) Ionian. E: Confidence level along depth for Argo-model average temperature (green) and salinity (brown) profile differences in the whole study area. The shaded rectangular denotes the area of statistical significant differences with a confidence of 95% between the Argo and model distributions (null-hypothesis rejected, p <0.05).
ScienceDex guides
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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.