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.
10
datasets available to search
ShareScore release 0.9.0
Dataset results
10 results for “eddy diffusion”
Large-eddy simulation investigating the role of double-diffusive convection in basal melting of Antarctic ice shelves: model output
<p>Model output used in the publication:</p> <p>M. G. Rosevear, B. Gayen, B. K. Galton-Fenzi, The role of double-diffusive convection in the basal melting of Antarctic ice shelves. <em>Proc. Natl. Acad. Sci. </em>(2021) https://doi.org/10.1073/pnas.207541118</p> <p>See README.md for a description of the data.</p>
Horizontal surface eddy diffusion implementation in CESM/MOM6
<p>The source code, input files, main results, and plotting/analysis scripts that were used in Marques et a., 2023 submitted to JAMES.</p> <p>"Representing eddy diffusion in the surface boundary layer of ocean models with general vertical coordinates"</p>
Hampering Effect of Wave-Driven Turbulence on Advection Speed and Diffusion Rate of Pollutants: A Large Eddy Simulation Study
<p>The source codes and namelist files are prepared to reproduce the results of the study entitled 'Hampering Effect of Wave-Driven Turbulence on Advection Speed and Diffusion Rate of Pollutants: A Large Eddy Simulation Study'. Download the originial source codes for the Parallelized LES model (PALM) at <a href="https://palm.muk.uni-hannover.de">https://palm.muk.uni-hannover.de</a> and use the source codes provided here as 'user-defined code' in PALM.</p> <p>The data can be used to reproduce the figures of the scientific article named after the study.</p>
Data for "A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection"
<p>This folder contains the data used in the publication: </p> <p>Lopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T., 2020: A Generalized Mixing Length Closure for Eddy-Diffusivity Mass-Flux Schemes of Turbulence and Convection, Journal of Advances in Modeling Earth Systems.</p> <p>If you make use of this data in your work, please cite our paper when doing so.</p>
Computing Eddy-Driven Effective Diffusivity Using Lagrangian Particles Dataset
<p>This archive contains netCDF files corresponding to datasets used in the<br> Ocean Modelling paper entitled<br> "Computing Eddy-Driven Effective Diffusivity Using Lagrangian Particles" by<br> Phillip J. Wolfram and Todd D. Ringler.</p> <p>Archives are presented for particle reset times of 3, 5, 10, and 15 days,<br> corresponding to data sources used to produce figures in the manuscript. </p> <p>The data is in standard netCDF file format, which is readily readable using<br> standard netCDF tools or via the python libraries netCDF4 and xarray.</p> <p>Please see the README.md (with updates at https://gist.github.com/pwolfram/c9f3d8b6c37385732bd1b105b5267e6a).</p> <p> </p>
Dataset used in the paper "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer"
<p>This dataset is created from the data obtained over the continental shelf of the East China Sea in July 2020 during a cruise of the training ship Nagasaki-maru of Nagasaki University (NN055), and used in the manuscript entitled "Verifying the parameterization of vertical eddy viscosity and diffusivity in the bottom boundary layer" by Takahiro Endoh, Takuya Hirooka, and Yoshinobu Wakata, which will be submitted to Journal of Physical Oceanography.</p>
Estimates of surface layer net community production based on underway Lagrangian measurements of the dissolved O2/Ar ratio using Equilibrator Inlet Mass Spectrometry (EIMS), based on both steady-state and non-steady-state assumptions of the mixed-layer biological oxygen budget. Also included are estimates of the potential contribution of vertical fluxes: advection, eddy diffusion, and entrainment.
The ratio of dissolved oxygen to argon in surface seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O2/Ar-based method accounts for many physical factors that influence oxygen concentrations in the surface ocean, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed layer O2/Ar budget, most notably the absence of vertical fluxes of O2/Ar and the existence of a steady-state balance between net productivity and the air-sea gas exchange of biological oxygen. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a ‘worst-case’ field environment. Quantifying the magnitude of vertical fluxes and comparing NCP estimates obtained using steady-state versus non-steady-state assumptions, we find the importance of the non-steady-state term to be considerable, also observing significant potential effects from vertical flux terms, particularly advection. Additionally, we observe strong diel variability in O2/Ar and calculated NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O2/Ar-derived NCP data as well as the potentially large effect of non-steady-state conditions, including diel cycles in surface O2/Ar that can bias interpretation of NCP data based on local productivity and the time of day at which measurements were made.
SCM files for "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization"
<p>Supporting files for manuscript "Representing Effects of Surface Heterogeneity in a Multi-Plume Eddy Diffusivity Mass Flux Boundary Layer Parameterization" by N.P. Arnold.</p> <p>The data consists of source code modifications relative to v11.2.0 of the GEOS GCM, modified boundary conditions for running single column model experiments, and netcdf model output from those experiments.</p>
Large Eddy Simulation data of flow in a rectangular diffuser
<p>This dataset contains the results of large-eddy simulations of the flow in a rectangular asymmetric diffuser. Here only the D2 diffuser's data are provided because experimental and DNS data are avilable for D1. .</p>
Scale and Space Dependent Horizontal Eddy Diffusivity at the Global Surface Ocean
<p>Sea surface temperature (SST) and idealized temperature tracer based estimates of horizontal diffusivity at the ocean surface. See https://doi.org/10.5281/zenodo.4126315 for the code to reproduce these estimates.</p> <p>There are two files which include the following</p> <p>KxKy_SST_MITGCM_025.nc</p> <p>SST based estimates are based on 35 years of satellite SST data (1982-2017) and we have divided the data in 30 chuncks, both using a 5 year and 10 year sub-sampling. The 'ens' dimension marks these chuncks whereas 'lat' and 'lon' mark the two Cartesian directions (latitude and longitude). Note that 'ens' can be also viewed as time.</p> <p>There are two fields 'Kx' and 'Ky' for each dataset ('SST' for the OI-SST based estimates or 'MITGCM' for the tracer simulation based estimates) and length of sub-sampling. 'Kx' is the diffusivity in 'lon' direction whereas 'Ky' is the diffusivity in 'lat' direction. Data is given at 0.25° resolution, but the effective resolution is twice that i.e. 0.5°.</p> <p>K_SST_MITGCM_2deg.nc</p> <p>Scale dependent estimate of the diffusivity magnitude i.e. <span class="math-tex">\(K= \sqrt{K_xK_y}\)</span> . As for the other data, here as well the estimates are done using 5 year and 10 year sub-sampling, and all the data is interpolated to a common 2° by 2° global grid. The coordinate 'dg' defines the scale in degrees. Note that again the effective resolution of the estimates is twice the 'dg'.</p> <p> </p> <p> </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.