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.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “outgoing longwave radiation”
Line-by-line coefficients for an analytical solution of spectrally resolved outgoing longwave radiation
<p>Following <strong>Feng et al., 2023</strong> , the change in spectrally-resolved outgoing longwave radiance <span class="math-tex">\(R\)</span> is:</p> <p><span class="math-tex">\(\pi \frac{R_{\text{trop}}}{R} [B(rT_e) - B(T_e)]\)</span></p> <p>In this equation, B(T_e) refers to Planck Function at temperature T_e, <span class="math-tex">\(R_{trop}\)</span> is the radiance contributed by troposphere, and <span class="math-tex">\(r\)</span> is an emission temperature shift ratio, computed using <strong>Eq. 10</strong> of <strong>Feng et al., 2023 </strong>with line-by-line regression coefficients <span class="math-tex">\(k\)</span> contained in the netCDF file 'lbl_regression_coeff.nc' for each major greenhouse gas. This set of coefficients is derived using an open-source line-by-line radiation code PyLBL (<a href="https://pylbl-1.readthedocs.io/en/latest/">https://pylbl-1.readthedocs.io</a>) following the Appendix of Feng et al., 2023 via Eq. B2, B4, and B6.</p> <p>An example matlab script is included to compute the emission temperature shift ratio based on the line-by-line coefficients and to further predict the spectrally-resolved feedback parameter based on Feng et al., 2023.</p>
Clear-sky Outgoing Longwave Radiation Fluxes from Offline RTE-RRTMGP for AMIP Simulation of CMIP6 Models
<p>This study utilizes RTE-RRTMGP (<a href="https://doi.org/10.1029/2019MS001621">https://doi.org/10.1029/2019MS001621</a>) to compute clear-sky, aerosol-free outgoing longwave radiation (OLR) fluxes for AMIP simulation of CMIP6 models, using 36-year average of monthly-mean temperature and humidity profiles at 19 pressure level as an input. This dataset is used to investigate the cause of inter-model spread in OLR when the same set of radiative transfer schemes is used.</p>
Aqua AIRS Level 3 Spectral Outgoing Longwave Radiation (OLR) Monthly
This L3 Spectral Outgoing Longwave Radiation (OLR) is derived using the AIRS radiances to compute spectral fluxes based on an algorithm developed by Xianglei Huang at the University of Michigan. It uses data from the Atmospheric InfraRed Sounder (AIRS) instrument on the EOS-Aqua spacecraft.The Aqua AIRS Huang Level-3 Spectral OLR product contains OLR parameters derived from the AIRS version 6 data: all-sky and clear-sky OLR both spectrally resolved at 10 cm-1 bandwidth and integrated to a single value per grid square. This is monthly product on a 2x2 degree latitude/longitude grid.
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.