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4 results for “land-surface”
Explicitly modelling microtopography in permafrost landscapes in a land-surface model (JULES vn5.4_microtopography)
<p>Model output data, processed observational data and plotting code used to create the figures for the paper 'Explicitly modelling microtopography in permafrost landscapes in a land-surface model (JULES vn5.4_microtopography)' submitted to Geoscientific Model Development (2021). These describe the effect of explicitly representing microtopography in the JUELS land surface model on modelled snow depth, soil moisture, temperature, and methane fluxes, and compare these with observations.</p>
GISS ModelE2 Simulations with different land-surface conditions
<p>Dataset for JGR manuscript #2018JD028874 "<strong>Distinct influences of land-cover and land-management on seasonal climate"</strong></p> <p>This is a repository of climate simulations to examine the influence of agricultural expansion and intensification on climate. Climate model simulations are conducted with the ModelE tag modelE_AR5_v2_branch, which is an intermediate version of the GISS ModelE2. This model version is available in the GISS development repository (https://simplex.giss.nasa.gov/cgi-bin/gitweb.cgi?p=modelE.git;a=tag;h=refs/tags/modelE_AR5_v2_branch). All the input files and simulation output are archived here. The simulations are run for 50 years with identical forcings under 3 scenarios and are run in non-interactive, prescribed ocean mode.</p> <p>Following is a description of the data available here.</p> <p>1. The folder input_files includes the land-surface schemes used in the simulations, and the crop cover dataset.</p> <p>2. "PotVeg_VAr" - contains variables from simulations with natural vegetation alone.</p> <p>3. "CropA_Var_new" - contains variables from simulations with year 2000 crop cover.</p> <p>4. "CropsIRA_Var_new" - contains variables from simulations with year 2000 crop cover and irrigation rates.</p> <p>5. "evap_diags" and "low_clouds" - contains evapotranspiration and low-cloud cloudiness from all three simulations.</p> <p>6. The file VarList - contains a list of variables available from the model and their names.</p> <p>7. Explanation_of_Diagnostics - contains a description of the variables.</p> <p>8. referenceRegions.csv - contains the domains of the SREX regions in this study.</p> <p> </p>
Data for "Energy Surplus and Atmosphere – Land-Surface "Tug of War" Induced by Climate Change Control Future Evapotranspiration"
<p>USGS gauges used in manuscript "<strong>Energy Surplus and An Atmosphere-Land-Surface “Tug of War” Control Future Evapotranspiration"</strong>. USGS_CTL15_Gage.mat contains the USGS gauge ID, and one can use retrieve_daily_streamflow.m to download the corresponding streamflow time series. </p>
Wildfire impacts on land-surface properties: implications for weather forecasting
<p>The WRF simulations to study widlfire impacts on land-surface properties. </p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.