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ShareScore release 0.7.1
Dataset results
3 results for “Titan winds”
Data set for paper "Ramparts around lakes on Titan impact winds and methane evaporation"
<p>Data and post-processing code used for the paper "Ramparts around lakes on Titan impact winds and methane evaporation", submitted to PSJ in 2024.</p> <p>Are made available:<br> - a list of the simulations (list_simulations_ramparts2D.pdf)<br> - the simulations' netCDF outputs (run-t##.nc.gz)<br> - the input files used to run the simulations (in input_files/)<br> - the post-processing python codes used to plot the figures (in post_processing_codes/)<br> - tables of latent heat flux and horizontal wind values (Tables_LH_and_Uwind.pdf)<br> - a gif of the horizontal wind in the reference run (u_wind_run-t04_speed.gif)<br> - a gif of the vertical wind in the reference run (w_wind_run-t04_speed.gif)</p>
ALMA Titan wind velocity maps for CH3CN, HC3N and HNC (derived from observations on August 2016 and May 2017)
<p>These FITS files contain wind velocities (in m/s) as a function of angular offset (in RA/dec.) from the center of Titan's disk, derived from ALMA observations of CH3CN, HC3N and HNC in August 2016 and May 2017. We followed the method of Lellouch et al. (2019) to determine radial velocities (along the line of sight) for each gas as a function of spatial coordinate in the ALMA images. This involved extracting individual spectra from the data cubes and fitting the emission lines with Gaussians to determine their Doppler shifts.</p>
Dataset for "Detection and characterization of wind-blown charged sand grains on Titan with the DraGMet/EFIELD experiment on Dragonfly"
<p>Codes, datasets and supplementary information for the following paper:</p> <p>Chatain A., Le Gall A., Berthelier J.-J., Lorenz R.D., Hassen-Khodja R., Lebreton J.-P., Joly-Jehenne T. and Déprez G., <em>Detection and characterization of wind-blown charged sand grains on Titan with the DraGMet/EFIELD experiment on Dragonfly.</em> Icarus 391 (2023) 115345. https://doi.org/10.1016/j.icarus.2022.115345 ; open access: https://doi.org/10.48550/arXiv.2211.01502</p> <p>About numerical simulations and laboratory tests of the ability of Dragonfly/EFIELD to detect moving charged grains.</p> <p>Files and folders:</p> <p>-EFIELD_Supporting_Information.pdf : Supporting Information to the published paper</p> <p>-SImulation.zip : data and codes to plot the results of the numerical simulations presented in the paper</p> <p>-Experiments.zip : data and codes to plot the results of the lab experiments presented in the paper</p> <p>-Transfer_Function.zip : data and codes to plot the transfer function of the prototype electrode</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)
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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.