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53 results for “Climate model output”
Output climate model parameters reported in Izquierdo et al., (2022)
<p>Data set containing an ensemble of model parameters for each of the candidate climate models in Table 1 of Izquierdo et al., (2022). These ensembles are stored as Python objects using the Pickle module, identified by the accumulation and lag sub models they contain and the number of steps used in the Markov chain Monte Carlo algorithm. From each Python object, it can be extracted the distribution of accumulation and retreat rates with time following the scripts and notebooks of the repository referenced in the open research section of the paper. </p> <p>The folders in this repository refer to the ensembles of all candidate models dependent of insolation values (insolation), ensembles of all candidate models dependent on obliquity values (obliquity, ensembles of best fit models (files that are not within a folder) and ensembles of best fit models with the addition of an age prior of 2 My. </p>
MAgPIE model runs outputs: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>Each folder contains the fulldata.gdx and the configuration files for each MAgPIE run based on the nine crop impact models and 5 gcms used in the paper.</p>
Scherrenberg et al. (2024) supplement (Climate of the past): Ice-sheet model code, and output of Northern Hemisphere ice-sheet evolution of the past 800 kyr
<p>Supplement to Scherrenberg et al. (2024), article in Climate of the Past.</p> <p>This data-set contains ice-sheet model (IMAU-ICE) code (see IMAU_ICE_Code.zip; see https://github.com/IMAU-paleo/IMAU-ICE/tree/main for the most recent version of the model), the model output and configuration files (see Data_output.zip), and scripts to create figures (see Scripts_and_Figures.zip).</p> <p>Please note that additional input fields are required to run IMAU-ICE and to produce the figures. See Scherrenberg et al., (2024) for more information or contact the corresponding author.</p> <p>Citation: M.D.W. Scherrenberg, C.J. Berends, R.S.W. van de Wal: Late Pleistocene glacial terminations accelerated by proglacial lakes, climate of the past, special issue "icy landscapes of the past", 2024</p>
Processed model output used in 'The impact of winds on AMOC in a fully-coupled climate model'
<p>Processed model output from wind-nudging experiments used to investigate the Atlantic Meridional Overturning Circulation. </p> <p> </p> <p>For further details, see </p> <p>Roach, L. A, Blanchard-Wrigglesworth E. Ragen, S., Cheng, W., Armour, K. and Bitz, C. M.. (2022). The impact of winds on AMOC in a fully-coupled climate model. In review at Geophysical Research Letters</p>
Model outputs and species-level data for "Functional traits and climate drive interspecific differences in disturbance-induced tree mortality".V2
<p>A minor coding error was found in the pre-formatted data of <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.16630">Barrere et al. (2023)</a>. This error did not affect the main results of the paper, but led to minor change in the value of the posterior estimates, stored in data/sensitivity/jags_dominance.Rdata. This repository contains the new version of the parameters. </p>
CESM1.2 simulation output for: The role of westerly wind bursts during different seasons versus ocean heat recharge in the development of extreme El Niño in a climate model
Open the record for dataset details and reuse information.
Output of CAM simulations performed for study "Impact of cloud physics on the Greenland Ice Sheet near-surface climate: a study with the Community Atmosphere Model"
<p>Output of CAM simulations performed for study "Impact of cloud physics on the Greenland Ice Sheet near-surface climate: a study with the Community Atmosphere Model" in JGR-Atmospheres (2020). </p> <p>Output are NetCDF files containing annual means (named 'yearmean', 2007-2013), or multi-annual monthly means ('ymonmean', 2007-2012) of various variables that are of interest and/or used for analysis in this study. The file name starts with the variable name. Fields are global, at a resolution of 0.9 x 1.25 degrees latitude/longitude.</p> <p>The test simulations are named (as discussed in the paper):</p> <p>cam4_clm5<br> cam5_clm5<br> cam6_noicenucl_clm5<br> cam6_noclubb_clm5<br> cam6_mg1_clm5<br> cam6</p>
Data repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate"
<p>This is a repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate" at the Journal of Geophysical Research - Earth Surface. See the readme file for descriptions of the data contained in each file.</p>
Model output for "Climate variability leads to multiple oxygenation episodes across the Great Oxidation Event"
<div> <p>This repository contains all the model output presented in Garduno et al. (2024). Climate variability leads to multiple oxygenation episodes across the Great Oxidation Event. Submitted to Geophysical Research Letters.</p> <h1>Model output organization</h1> <p>There are seven zip files containing the model output from different simulations described in the main manuscript. See the main manuscript and <a href="https://github.com/DanyIvan/climate_goe_over_time" target="_blank" rel="noopener">code repository</a> for more details.:</p> <ul> <li>`o2_flux_constant_1.8e12.zip`: model output for simulation in which the O2 input flux is kept constant at a value of 1.8e12 molecules/cm^2/s</li> <li>`o2_flux_constant_2.2e12.zip`: model output for simulation in which the O2 input flux is kept constant at a value of 2.2e12 molecules/cm^2/s</li> <li>`linear_o2_flux_increase.zip`: model output for simulation in which the O2 input flux is linearly increased</li> <li>`linear_o2_flux_increase_change_during_glaciations.zip`: model output for simulation in which the O2 input flux is linearly increased, superimposing a 60% decrease during glaciations and a 60% increase after glaciations.</li> <li>`linear_ri_flux_decrease.zip`: model output for simulation in which the reductant input flux is linearly decreased and the O2 input flux is kept constant</li> <li>`linear_ri_flux_decrease_change_during_glaciations.zip`: model output for simulation in which the reductant input flux is linearly decreased and the O2 input flux is kept constant with a 60% decrease during glaciations and a 60% increase after glaciations.</li> <li>`stability_analysis.zip`: model output for stability analysis of steady states.</li> </ul> <p><br>Each of these folders contains model output every 1e5 years. The files are numbered from 1 to 4998. `1` corresponds to the output at 1e5 years, `2` corresponds to the output at 2e5 years, and so on.</p> <p>There are also files containing the O2 fluxes (`o2_flux.txt`) and reductant input (`ri_flux.txt`) used at each 1e5 output step.</p> <h1>Reading data</h1> <p>The data files are Fortran binary files. You can read the with the <a href="https://github.com/Nicholaswogan/PhotochemPy/blob/5bf449fa26370eb2d21d45ae59eacbfebf9705a4/PhotochemPy/io.py#L45" target="_blank" rel="noopener">read_evolve_output</a> function implemented in <a href="https://github.com/Nicholaswogan/PhotochemPy/" target="_blank" rel="noopener">PhotochemPy</a>.</p> <p>You can also use the Python functions provided in the paper's code repository: <a href="https://github.com/DanyIvan/climate_goe_over_time/blob/main/read_output.py" target="_blank" rel="noopener">https://github.com/DanyIvan/climate_goe_over_time/blob/main/read_output.py</a></p> <h1>Names and units</h1> <p>The model output files contain the mixing ratios for all modeled species species. They also contain information about:</p> <p>- 'T_time': temperature profile (K) at the output time step.<br>- 'edd_time': eddy diffusivity profile (cm^2/s) at the output time step.<br>- 'press_time': pressure profile (bar) at the output time step.<br>- 'h2osat': saturation vapor pressure profile (bar) at the output time step.<br>- 'time': time (s) at the output time step<br>- 'den': air number density (molecules/cm^3)</p> </div>
Climate model (CM2.6) and regional model (ACM) outputs used to investigate the physical drivers and biogeochemical effects of the weakening of the northwest North Atlantic Shelfbreak Jet (Garcia-Suarez & Fennel., 2024; JAMES)
<p>Key variables from the climate model GFDL CM2.6 and the regional Atlantic Canada model (ACM) used to investigate the physical drivers and the biogeochemical effects of the weakening of the shelfbreak jet in the northwest North Atlantic Ocean. The dataset includes all model variables required to reproduce the key results in <em>Garcia-Suarez & Fennel (2024, JAMES)</em>. See <em>GarciaSuarezandFennel_JAMES_CM26_ACM_data_README.txt</em> for more details.</p>
interactive and prescribed snow depth driven climate model simulations output
<p>compressed dataset of model simulation output for current and future climates</p>
High Mountain Asia MAR V3.5 Regional Climate Model Output V001
This data set provides modeled surface and atmospheric fields from the Modèle Atmosphérique Régionale (MAR) regional climate model (version 3.5) over the Himalayan region at 10 km spatial resolution. Modeled parameters include surface mass and energy balance components, near-surface atmospheric properties, and snowpack properties.
EAMv1 outputs Macquarie Island- Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations
<p>EAMv1 outputs for the ACP publication </p> <p>https://acp.copernicus.org/articles/23/5735/2023/acp-23-5735-2023.pdf</p> <p>We have archived the outputs from the EAMv1 control simulations. </p>
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.