Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “AWI-CM”
Experiment output data from a seamless sea ice prediction system based on AWI-CM 1.1
<p>The data provide experiment output of the seamless sea ice prediction system based on AWI-CM 1.1.</p> <p>Exp_C_T_SIT_2007-2012.nc is the monthly sea ice thickness analysis averaged over from 2007 to 2012 for Exp_C_T.</p> <p>Exp_twin_SIC_SIT.tar.bz is the sea ice concentration and sea ice thickness analysis for Exp_twin.</p> <p>Exp_CTD_T_atm_T2m_n63grid.nc is the averaged 2m atmosphere temperature from 2007-2018 on N63 grid for Exp_CTD_T.<br> Exp_CTD_T_atm_u10_n63grid.nc is the averaged 10m wind velocity (u-component) from 2007-2018 on N63 grid for Exp_CTD_T.<br> Exp_CTD_T_atm_v10_n63grid.nc is the averaged 10m wind velocity (v-component) from 2007-2018 on N63 grid for Exp_CTD_T.<br> Exp_CTD_T_SALT_2007-2018_monmean.nc is the averaged ocean salinity from 2007-2018 for Exp_CTD_T. </p> <p>Exp_CTD_T_TEMP_2007-2018_monmean.nc is the averaged ocean temperature from 2007-2018 for Exp_CTD_T.<br> Exp_CTD_T_SIC_SIT_SIV.tar.bz is the analysis of sea ice concentration, sea ice thickness, and sea ice drift from 2007-2018 for Exp_CTD_T.<br> Exp_CTD_T_SIV_INC.nc is the sea ice drift increment from 2007-2018 for Exp_CTD_T.<br> Exp_CTD_T_TEMP_FCST_2007-2018_monmean.nc is the monthly mean ocean temperature forecast averaged over 2007-2018 for Exp_CTD_T.<br> Exp_CTD_T_UEL_2014-2018_mean.nc is the mean oceanic velocity (u-component) averaged over 2014-2018 for Exp_CTD_T.<br> Exp_CTD_T_VEL_2014-2018_mean.nc is the mean oceanic velocity (v-component) averaged over 2014-2018 for Exp_CTD_T.</p> <p><br> Exp_CTRL_atm_T2m_n63grid.nc is the averaged 2m atmosphere temperature from 2007-2018 on N63 grid for Exp_CTRL.<br> Exp_CTRL_atm_u10_n63grid.nc is the averaged 10m wind velocity (u-component) from 2007-2018 on N63 grid for Exp_CTRL.<br> Exp_CTRL_atm_v10_n63grid.nc is the averaged 10m wind velocity (v-component) from 2007-2018 on N63 grid for Exp_CTRL.<br> Exp_CTRL_SALT_2007-2018_monmean.nc is the averaged ocean salinity from 2007-2018 for Exp_CTRL. <br> Exp_CTRL_SIC_SIT.tar.bz is the sea ice concentration and sea ice thickness simulation from 1997-2018 for Exp_CTRL.<br> Exp_CTRL_SIV.tar.bz is sea ice drift simulation from 1997-2018 for Exp_CTRL.<br> Exp_CTRL_TEMP_2007-2018_monmean.nc is the averaged ocean temperature from 2007-2018 for Exp_CTRL. <br> Exp_CTRL_UEL_2014-2018_mean.nc is the averaged oceanic velocity (u-component) from 2014-2018 for Exp_CTRL. <br> Exp_CTRL_VEL_2014-2018_mean.nc is the averaged oceanic velocity (v-component) from 2014-2018 for Exp_CTRL. </p> <p>fesom.initial.mesh.diag.nc contains the area and volume of the CORE-II mesh.<br> mesh_core2.tar.bz contains the detailed CORE-II mesh information.<br> </p>
Simulated Sea Ice and Snow Thickness along the MOSAIC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations.
<p>Sea ice thickness and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day. </p><p>Data is provided in three .nc files for each model and variable (m_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3.</p>
Climatological global-mean Sea Surface Temperature (SST) in AWI-CM-1-1-MR simulations for CMIP6, in preindustrial, present-day, +2°C, +3°C, and +4°C climates
<p>Daily climatologies of global-mean sea surface temperature (SST, parameter 'tos') free-running simulations performed using the coupled climate models AWI-CM-1-1-MR. The unstructured grid-ocean component FESOM was conservatively remapped to the ERA5 grid. Data was averaged across the 5 ensemble members and temporally averaged over 10-year long time periods: 1850-1859 for preindustrial climate, 2015-2024 for present-day, 2034-2043 for +2°C climate, 2061-2079 for +3°C climate, and 2091-2100 for +4°C climate. </p><p>Data is provided in .nc files, one for each climate.</p>
Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM - output files and plot scripts
<p>This archive outputs_plotting.zip contains the raw output files (STDOUT) from the scaling runs performed for the paper "Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: Example of AWI-CM" submitted to GMD (gmd-2019-167). Further the scripts to extract timing information from the raw output files and plot scripts are included.</p> <p>The archive SST-DA_plotting.zip contains the scripts to compute RMS errors for the free ensemble run (output file in gmd_N46_free.zip) and the SST assimilation run (gmd_N46_sst.zip) and to plot these. The two output files contain each a Netcdf file with the ensemble mean state information and the stdout file from the model run.</p>
Simulated Sea Ice (weighted by the Sea ice concentration) and Snow Thickness along the MOSAiC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations.
<p>Sea ice thickness (weighted by the Sea ice concentration<i>)</i> and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day. </p><p>Data is provided in three .nc files for each model and variable (wm_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3.</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.