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.
1,574
datasets available to search
ShareScore release 0.9.0
Dataset results
1,574 results for “atmospheres”
Data for "Abrupt transitions in an atmospheric single-column model with weak temperature gradient approximation"
<p>These are the main output files for the experiment studied in the paper "Abrupt transitions in a single-column model with weak temperature gradient approximation". File names and descriptions are as follows:</p> <ol> <li>hysteresis.mat: A MATLAB file that contains WRF output from the hysteresis test used to create Figure 5 of the paper. The variable names should be straightforward to someone familiar with WRF. (Full WRF output was not saved for these runs.)</li> <li>input_soil: surface initial conditions for WRF SCM, same for all experiments</li> <li>input_sounding: initial sounding, same for all experiments</li> <li>main_fls1: a WTG SST-ramping experiment showing fLS→1 as described in the paper.</li> <li>main_rce_ramp: a SST-ramping experiment without the weak temperature gradient approximation</li> <li>namelist.input.rce: the namelist input file for the "rce_run" experiment</li> <li>namelist.input.wtg: the namelist input files for the "wtg_ramp_run1" experiment</li> <li>rce_run: the main RCE experiment used to create the background WTG profile for the wtg_ramp_run1 experiment and the wtg_noramp experiment</li> <li>wtg_noramp: a 180-day experiment with WTG but no ramping, for comparison</li> <li>wtg_ramp_run1: the main WTG ramping experiment showing the abrupt transitions</li> </ol>
Sensitivity of atmospheric river vapor transport and precipitation to uniform sea-surface temperature increases
<p>This is the companion data for the manuscript of the same title, originally submitted to JGR: Atmospheres on 02/08/2020 and resubmitted on 06/30/2020. Specifically, this dataset corresponds to the resubmitted version. Note that the only change is the addition of code example to generate kernel density estimates of Hadley cell edge, subtropical jet, and eddy-driven jet positions. </p> <p><strong>modelParameters: </strong>this folder contains the scripts I ran on NERSC Cori in 2019 to initialize the CESM2.0/CAM5 model runs. </p> <ul> <li>qobs_script_newcase.sh: creates all cases, for the Baseline as well as the +xK SST runs</li> <li>docn_comp_mod.F90: original CAM5 aquaplanet SST distributions; "QOBS" is used for my "Baseline" experiments</li> <li>plusxK_docn_comp_mod.F90: modified SST distributions, for x=(2,4,6); these are simply uniform additions to the QOBS SST distributions</li> <li>Macros.make & env_mach_specific.xml: configuration files to run CESM2.0 on Cori at the time</li> <li>user_nl_cam: namelist for CAM5; specifies some model run parameters as well as output variables.</li> </ul> <p><strong>detectionParameters: </strong>this folder contains the scripts I ran on NERSC Cori in 2019 to detect tropical cyclones and atmospheric rivers. Use this code for reference purposes only (i.e., to see which parameters were used to detect ARs or TCs). It will not run as-is.</p> <p><strong>All other subfolders </strong>provide working examples of code used to generate figures (all in Jupyter notebooks) for the manuscript; folder names are descriptive. </p> <p>Unfortunately, model output was large (~12 TB). Hence, I only provide mean data, used directly to generate figures, in this repository. All model output are archived on tape at NERSC. </p> <p>For more details, refer to the manuscript, or contact me (eelliott@ucdavis.edu). </p>
Atmospheric fields and simulated sub-milllimetre brightness temperatures for five case studies using the FAAM atmospheric research aircraft
<p>This dataset contains atmospheric fields, sensor positions and simulated sub-millimetre brightness temperatures for five cloudy case studies observed using the UK's BAe-146-301 (FAAM) atmospheric research aircraft.</p> <p>The 3-dimensional atmospheric fields are taken from the Met Office Unified Model and give the atmospheric state corresponding to the time of high-altitude aircraft runs. They consist of pressure, temperature, height, water vapour and hydrometeor mass concentrations and are provided in a format suitable for use with the ARTS radiative transfer model.</p> <p>The configurations required to run the ARTS radiative transfer model to simulate observations from the MARSS and ISMAR radiometers on board the aircraft are provided, as well as the output brightness temperatures using scattering properties for different ice particle habits from the ARTS database.</p>
Dataset for Residual Study: Testing Jupiter Atmosphere Models Against Juno MWR Observations
<p>This dataset includes all data values for all 14 figures in paper "Residual study: Testing Jupiter atmosphere models against Juno MWR observations".</p>
Climate model data for "Atmosphere-ocean feedback from wind-driven sea spray aerosol production"
<p>Data from atmosphere-only and coupled climate model simulations performed for "Atmosphere-ocean feedback from wind-driven sea spray aerosol production". Files are in netCDF format.</p>
Supporting Data for Feldl et al. 2017: Coupled high-latitude climate feedbacks and their impact on atmospheric heat transport
<p>This dataset includes GFDL AM2.1 model output used to create figures in the following papers: Feldl, N., S. Bordoni, and T. M. Merlis, 2017: Coupled high-latitude climate feedbacks and their Impact on atmospheric heat transport. <em>J. Climate</em>, 30, 189–201, https://doi.org/10.1175/JCLI-D-16-0324.1; and Feldl, N., B. T. Anderson, and S. Bordoni, 2017: Atmospheric eddies mediate lapse rate feedback and Arctic amplification. <em>J. Climate</em>, 30, 9213–9224, https://doi.org/10.1175/JCLI-D-16-0706.1. Here we provide monthly climatologies averaged over the last thirty years of each experiment.</p>
Final data used in JGR-Atmospheres manuscript 2020JD034202
<p>Final processed data used to generate all figures in the submitted manuscript (2020JD034202) to Journal of Geophysical Research - Atmospheres.</p> <p>All data are in self descriptive netCDF formats.</p> <ul> <li>codes directory contains Python scripts/notebooks used to visualize the data.</li> <li>data directory contains final processed data used in the manuscript.</li> </ul>
Effects of atmospheric attenuation on lightning spectrum
<p>Spectrum carries important information reflecting atomic and molecular processes inside light source. Accurate spectral diagnosis is of vital significance in revealing microscopic physical mechanism of lightning discharge process. Aimed at the problems of atmospheric attenuation in long-distance lightning spectrum observations, considering the influence of atmospheric attenuation, grating efficiency and camera response on the observed spectrum, the spectral correction is carried out in this work. Based on the restored spectrum, the temperature of core current-carrying channel and the mean temperature of the luminous channel were calculated respectively. The result showed that the temperature of core current-carrying channel at initial stage of return stroke could reach up to 40000-45000 K, which was about 15000 K higher than the value directly obtained from observed spectrum. In addition, there is a steep temperature gradient between the core current-carrying channel and its peripheral luminous channel. This work can provide more precise parameters for further quantitative investigation on physical characteristic of lightning channel, and it also has application value for improving the spectral diagnostic techniques on celestial body and other natural luminous process.</p>
A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR. GMD-2020-307
<p>These files are associated with an article submitted to Geoscientific Model Development (https://www.geoscientific-model-development.net) with reference GMD-2020-307 : A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR.<br> By Olivier Marti, Sébastien Nguyen, Pascale Braconnot, Sophie Valcke, Florian Lemarié, and Eric Blayo</p> <p>It contains :<br> - The model code used for the study<br> - The model outputs used for the study<br> - The script used to produce the figures.</p> <p>Contact : Olivier Marti - olivier.marti@lsce.ipsl.fr</p>
Atmospheric C10 dataset
<p>This dataset was created in the following study:<br> E. Lumiaro, M. Todorovic, T. Kurten, H. Vehkamaki, P. Rinke, “Predicting Gas-Particle Partitioning Coefficients of Atmospheric Molecules with Machine Learning”, arXiv, 2010.14207 (2020)</p>
Role of iodine oxoacids in atmospheric aerosol nucleation: data resources
<p>Data for manuscript "Role of iodine oxoacids in atmospheric aerosol nucleation"</p>
Datasets for "Contrasting responses of local climate to the perturbation of atmospheric boundary layer winds linked to land–atmosphere interactions"
<p>Datasets for paper "<strong>Contrasting responses of local climate to the perturbation of atmospheric boundary layer winds linked to land–atmosphere interactions"</strong></p>
Field campaign observation data for 'Impacts of Heatwaves on Characteristics of Atmospheric Methylglyoxal in a Suburban Area in Eastern China'
Open the record for dataset details and reuse information.
A Combined Ground-based and JWST Atmospheric Retrieval Analysis: Both IGRINS and NIRSpec Agree The Atmosphere of WASP-77A b is Metal-Poor
<p>Supplementary material for <em>A Combined Ground-based and JWST Atmospheric Retrieval Analysis: Both IGRINS and NIRSpec Agree The Atmosphere of WASP-77A b is Metal-Poor</em>, accepted for publication in the Astronomical Journal 2023.</p>
Dataset for "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean"
<p>Atmospheric and oceanic observations were conducted over the North Pacific Ocean, Bering Sea, and Arctic Ocean during a cruise (MR19-03C) in early autumn of 2019. The dataset includes trace gases, chemical composition, fluorescent particles in the ambient and bioindicators in the surface seawater, observed along the ship track (time stamp and coordinates are included). This dataset is for Kawana et al., "Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean", Atmospheric Chemistry and Physics, 2024 (in press).</p>
Climate change affects desert hydrology through atmospheric water capture by soils
<p>This is data supporting the paper "<span>Can dry get wetter even if rainfall declines?" by Kool and Agam.</span></p> <p><span>Data was collected at the Mashash Experimental Farm (31.07°N, 34.85°E; Mashash) and Sede-Boqer (30.86°N, 34.78°E).</span></p> <p><span>Please refer to the paper for more details.</span></p> <p><span>Please contact the authors should you want to make use of the data.</span></p> <p><span>Dilia Kool: dkool@bgu.ac.il</span></p> <p><span>Nurit Agam: agam@bgu.ac.il</span></p>
Supplementary Data to "Rapid rise in atmospheric CO2 marked the end of the Late Palaeozoic Ice Age"
<p>Supplementary Data to Jurikova et al. "Rapid rise in atmospheric CO2 marked the end of the Late Palaeozoic Ice Age".</p>
Evolution of secondary volcanic atmospheres 1 results
<p>Data used to produced figures in the publication Liggins et al., (2022) 'Growth and evolution of secondary volcanic atmospheres: I. Identifying the geological character of warm rocky planets.'</p>
Selected data analysed in the JGR Atmosphere manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction"
<p>This depository contains the simulated 3-hr data of 2m-temperature (tas), latent heat flux (hfls), sensible heat flux (hfss), soil moisture (mros) of the top 1 m, convective available potential energy (cape), convection inhibition (cin), leaf area index (lai) for the model domain, which centers Germany. Further it contains the namelist.input of the WRF simulations of the CTRL and EXP_CROP run. The simulations are described in the manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction" by Warrach-Sagi et al., 2022</p>
Brown dwarf atmosphere intensity grid produced by PICASO radiative transfer code and based on Sonora model atmospheres
<p>Specific intensity in erg s^−1 Hz^−1 sr^−1 cm^−2 on a grid of the cosine of the viewing angle 𝜇 = cos 𝜙, wavelength 𝜆, surface effective temperature, and surface gravitational acceleration that was computed from the Sonora pressure-temperature and abundance profiles, using version 2.3 of the open source code PICASO (Batalha et al. 2019; Batalha et al. 2022), which has previously been used to compute the thermal emission spectra of brown dwarfs (e.g. Mang et al. 2022) and exoplanets (e.g. Robbins-Blanch et al. 2022).</p> <p>This grid served as input to software PARS (Paint the Atmospheres of Rotating Stars; Lipatov and Brandt 2020) in an article that predicts the observational effects of rotation in brown dwarfs (Lipatov, Brandt, and Batalha 2022).</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.