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.
37
datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “ice support”
Data from: Glacial ice supports a distinct and undocumented polar bear subpopulation persisting in late 21st-century sea-ice conditions
Open the record for dataset details and reuse information.
Data to support: Anthropogenic influence on tropospheric reactive bromine since the pre-industrial: Implications for ice-core bromine trends
Open the record for dataset details and reuse information.
Data in support of manuscript submitted to JGR-Planets "Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD"
<p>These files contain data underlying figures for the submission version of:</p> <p>Strong variability of Martian water ice clouds during dust storms revealed from ExoMars Trace Gas Orbiter/NOMAD</p> <p>which was submitted to JGR: Planets for review. </p> <p>The access to the dataset will be closed until the final version of the paper is accepted.</p>
The isotopic composition of the French Illimani ice core in the Bolivian Andes supports the east-west South American precipitation dipole from the last deglaciation to the mid-Holocene
<p>Isotopic composition (deuterium and deuterium excess) of the French Illimani ice core drilled in 1999 with a revised dating detailed in the following manuscript:</p> <p>Françoise Vimeux and Amaëlle Landais, 2025. The isotopic composition of the French Illimani ice core in the Bolivian Andes supports the east-west South American precipitation dipole from the last deglaciation to the mid-Holocene. Quaternary Science Reviews 347, https://doi.org/10.1016/j.quascirev.2024.109098.</p>
Supporting data for: Variable habitat depth of the planktonic foraminifera Neogloboquadrina pachyderma in the northern high latitudes explained by sea-ice and chlorophyll concentration
<p>Metadata and environmental data complete with the relative source of the stations included in the study "Variable habitat depth of the planktonic foraminifera <em>Neogloboquadrina pachyderm</em>a in the northern high latitudes explained by sea-ice and chlorophyll concentration".</p> <p>Abbreviations: DH= depth habitat of <em>N. pachyderma</em>, DCM= Depth of Chlorophyll maximum, SST= sea surface temperature, MLD = depth of the mixed layer and SSS= sea surface salinity, DH_Temp= temperature measured at DH, DH_Sal= salinity measured at DH, DH_Density= density measured at DH.</p>
Supporting Information videos: Ice-Template Crosslinked PVA Aerogels Modified with Tannic Acid and Sodium Alginate
<p>Vertical burning videos of different aerogels:</p> <p>Video S1: P5 aerogel during vertical burning.</p> <p>Video S2: P5T3A3 uncrosslinked aerogel during vertical burning.</p> <p>Video S3 and S4: Self-extinguished performance of P5T3A3 crosslinked aerogel.</p> <p> </p>
Data supporting 'Assessing the Spurious Impacts of Ice-Constraining Methods on the Climate Response to Sea-Ice Loss using an Idealized Aquaplanet GCM' by Neil T Lewis et al.
<p>Data supporting Lewis et al., 2024. Assessing the Spurious Impacts of Ice-Constraining Methods on the Climate Response to Sea-Ice Loss using an Idealised Aquaplanet GCM. Submitted to Journal of Climate. </p> <p>All data is in NetCDF format. </p> <p>Output from each experiment is contained in its own folder (e.g., 'ALB.1'). For a description of each experiment, see the accompanying paper. </p> <p>Data files contain the following outputs: </p> <p>dyn_vars_daily_clim.nc contains day of year- and zonally-averaged atmospheric fields (u, v, T, etc). </p> <p>eddy_products.nc constains day of year- and zonally-averaged products of atmospheric fields (e.g., u'v'). </p> <p>ice_temp_daily.nc contains daily-averaged surface temperature and sea-ice thickness. </p> <p>toa_fluxes_clim.nc contains day of year-averaged top of atmosphere radiative fluxes (e.g., OLR). </p> <p>For the experiments NDG1.05, NDG1.1, and NDG1.2, nudge_daily_clim.nc is also included, and contains the day of year-averaged nudging heat flux applied to melt the ice. </p>
Simulations in Support of "The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean Clouds"
<p>Single column model simulations in support of manuscript: The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean Clouds</p><p>Each simulation is a zip file with prognostic and diagnostic variable outputs as NetCDF files in each zip file. Includes sensitivity tests, timestep tests and baseline simulations used in the paper. </p>
Support Materials for Manuscript "Climate change induces rapid growth of dead ice in Asian glaciers" Review
<div>Description of support materials of paper "Climate change induces rapid growth of dead ice in Asian glaciers".</div> <div> </div> <div>The detailed description of files is below:</div> <div> </div> <div>· Total.csv</div> <div>The subregional statistics of HMA dead ice area and mass in 2100 under different SSPs.</div> <div> </div> <div>· Folder ./Inventory</div> <div>Interdecadal potential dead ice inventory in HMA.</div> <div> </div> <div>· Folder ./Individual</div> <div>Interdecadal statistics of individual glaciers' dead ice in HMA for their ablation (unit: Gt), area (unit: km2) and mass (unit: Gt).</div>
Supporting Data for Hahn et al. J. Climate: Seasonality in Arctic Warming Driven By Sea Ice Effective Heat Capacity
<p>This dataset includes CESM model experiment output for Hahn et al.: “Seasonality in Arctic Warming Driven By Sea Ice Effective Heat Capacity” submitted to Journal of Climate. Here we provide monthly climatologies averaged over the last thirty years for the Ice, No ice, and No ice, set albedo experiments with preindustrial and doubled CO<sub>2</sub> forcing. The variables hyam, hybm, and P0, useful for interpolating to pressure levels, are included in the FlatSOM1850.Q.nc file.</p>
Supporting Information for "Where does the energy go during the interstellar NH3 formation on water ice? A computational study"
<p>Supplementary Material consisting of:</p> <ol> <li> The energetics of the gas-phase reactions for both the H-additions and H-abstractions,</li> <li> The evolution with time of the total, potential and kinetic energies of the studied processes</li> <li> Results of the NVE AIMD simulations for the NH<sub>3</sub> formation from Pos2</li> </ol>
Data supporting 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'
<p>This data set contains the data produced for the paper 'Modeling Antarctic ice shelf basal melt patterns using the one-Layer Antarctic model for Dynamical Downscaling of Ice--ocean Exchanges (LADDIE v1.0)'</p> <p>The data set contains output from LADDIE simulations, including basal melt rates.</p> <p>The main simulations used in the man text are:</p> <p>- Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc">CrossDots_0.5_tanh_Tdeep0.4_ztcl-500_050.nc </a><br> - Filchner-Ronne: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/FRIS_1.0_linear_S134.8_T1-2.3_720.nc">FRIS_1.0_linear_S134.8_T1-2.3_720.nc </a><br> </p> <p>The additional simulations included in the Appendix are:</p> <p>- 3D forcing of Crosson-Dotson: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/CrossDots_0.5_mitgcm_2003_2008_100.nc">CrossDots_0.5_mitgcm_2003_2008_100.nc </a><br> - Tuning of Crosson-Dotson: XX_YY_ZZ.nc, where XX is the resolution in km, YY is the value for Cd,top, and ZZ is the value for Dmin<br> - Pine Island Ice Shelf: <a href="https://zenodo.org/api/files/0640a922-97a9-4ced-ad3d-dab66f05c696/PIG.nc">PIG.nc </a><br> </p>
Supporting model output for article "Relative Impact of Sea Ice and Temperature Changes on Arctic Marine Production"
<p>The following is a summary of processed model output data from a series of HiLAT model runs. A description of the model runs and visualization of model output and analysis can be found in the accompanying manuscript.</p> <p>Gibson, G.A., Weijer, W., Jeffery, N. and Wang, S (2020) Relative impact of sea ice and temperature changes on Arctic marine production. Journal of Geophysical Research: Biogeosciences. DOI: 10.1029/2019JG005343</p> <p>The model outputs and accompanying research was supported by the National Science Foundation 173886 and by DOE | SC |Biological and Environmental Research (BER).</p> <p>There are 4 versions of most output file types, corresponding to the 4 experiments that were conducted.</p> <p>These experiments are:</p> <p>i) the baseline model simulation (Base);</p> <p>ii) a moderate ice reduction experiment (S1);</p> <p>iii) a dramatic ice reduction experiment (S2); and</p> <p>iv) an atmospheric warming scenario (RCP45).</p> <p>Each of the 4 experiments is described in detail in Gibson et al (2020).</p> <p>Many variables in the output files are regional averages where model regions are indicated by a number *note - for aesthetics, the numbering used in the model output files differs slightly from the numbering used in the accompanying manuscript. </p> <p>Bering Sea =1</p> <p>Chukchi Sea =2 </p> <p>East Siberian Sea =3</p> <p>Laptev Sea =4 </p> <p>Beaufort Sea =5</p> <p>Barents Sea =6</p> <p>Canadian =7 </p> <p>Eurasian Basins =8 </p> <p>Nordic Seas =9</p> <p>Labrador Sea=10</p> <p>Kara Sea =11</p> <p> </p> <p><strong>Grid </strong></p> <p>gx1v6_polar_mask.10.12.18.nc This file is the original grid file used for all model runs with the addition of Arctic_Region and Antarctic_Polar_Front variables which indicates which grid cells are in the model regions described above.</p> <p> </p> <p><strong>Forcing</strong></p> <p>ncep_RCP45 ncep.t_10.T62.*.nc where * is 1948-2009 These files contain the modified atmospheric forcing used for the RCP45 model experiment. The unmodified NCEP forcing is freely publically available elsewhere to not duplicated here</p> <p> </p> <p><strong>Ice </strong></p> <p>Ice-Regional-Monthly-177-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file contain the monthly averaged ice variables (ice area, ice algae production) for each model region for the last ten years of the model run.</p> <p> </p> <p>cice-monthly-177-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file are the monthly averaged output filed from the cice model. Variables are averaged over each model analysis region.</p> <p> </p> <p>Ice_snow_depth_region_Avg-137-186-*.nc where * indicates model run - Base, S1, S2 or RCP45. These file contain the regionally averaged ice and snow depth for each analysis region.</p> <p> </p> <p>IceVol_Base-137-186.nc Contains ice variable file for the baseline model run. Model contains ice variables hi and aice for every grid cell of the model domain. Ice volume was computed as hi * Tarea (from grid file).</p> <p> </p> <p>Annual-SummerAvg-IceArea-177-186_*.nc Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average ice area averaged over Summer months (JuneAugust) for last 10 years of model run (200-2009) for each grid cell in the HiLAT model</p> <p> </p> <p><strong>Ocean variables </strong></p> <p>TempNitrate TEMP_NO-177-186.nc This file contains model estimates of temperature and nitrate for the baseline model run for model years 177-186 (2000-2009, the last en years of the model run) for the upper five model layers (500, 1500, 2500, 3500, 4500 cm).</p> <p> </p> <p><strong>CO2flux </strong></p> <p>AnnAvgAllCflux*.nc</p> <p>Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average CO2 Flux for last 10 years of model run (200-2009) for each grid cell of the HiLAT model.</p> <p> </p> <p>CO2flux_region_avg-177-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. Each of these files contains the annual average CO2 Flux for last 10 years of model run (2000-2009) for each region of the HiLAT model.</p> <p> </p> <p><strong>Ocean Production </strong></p> <p>OceanProd_Year-147-156-*.nc OceanProd_Year-157-166-*.nc OceanProd_Year-167-176-*.nc OceanProd_Year-177-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. These file contain the annual average vertically integrated ocean phytoplankton production for each grid cell. Each file contains 10 model years is the sum of diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p>Region_production_by_phyto_group-diat_ps-137-186-*.nc Where * indicates model run - Base, S1, S2 or RCP45. These file contain the annual average vertically integrated ocean phytoplankton production for each region. Each file contains group specific production for diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p>OceanProd_Daily-177-186-BASE.nc This file contains the daily average vertically integrated ocean phytoplankton production for each grid cell. The file contains 10 model years. Production is the sum of all four phytoplankton groups - diatoms, diazotrophs, phaeocystis, and smaller phytoplankton.</p> <p> </p> <p><strong>PAR </strong></p> <p>PAR-MonthyAvg-177-168-*.nc</p> <p>Photosynthetically Active Radiation in the ocean. Where * indicates model run - Base, S1, S2 or RCP45.</p>
Supporting data and files for PNAS paper entitled Ice sheet contributions to future sea level rise from structured expert judgement.
<p>This repository contains supporting documentation with background information about the structured expert judgement described in the paper entitled: Ice sheet contributions to future sea level rise from structured expert judgement.. It also includes the files containing the anonymous expert judgements for the target questions elicited.</p>
Supporting videos of (ice cliffs of) Lirung glacier
<p>Supplementary material for: <strong><em>Using 3D turbulence-resolving simulations to understand the impact of surface properties on the energy balance of a debris-covered glacier, </em></strong>PNJ Bonekamp, CC van Heerwaarden, JF Steiner and WW Immerzeel, submitted to The Cryosphere.</p> <p>List of movies: <br> Icecliff_movie_qt.gif: specific moisture at ice cliff<br> Icecliff_movie_th.gif : potential temperature at ice cliff<br> Icecliff_movie_UV.gif: wind speed at ice cliff<br> Movie_conductiveflux.gif: the conductive heat flux at the surface<br> vertical_cross_movie_q.gif: specific moisture along the xz cross section<br> vertical_cross_movie_thl.gif: potential temperature along the xz cross section<br> vertical_cross_movie_UV.gif: wind speed along the xz cross section</p>
Supporting Data for "Disentangling the coupled atmosphere-ocean-ice interactions driving Arctic sea ice response to CO2 increases"
<p>Supporting data for "Disentangling the coupled atmosphere-ocean-ice interactions driving Arctic sea ice response to CO2 increases", submitted to Journal of Advances in modelling Earth system</p> <p>Monthly averaged sea ice variables for the 100 and 150 year fully coupled (b.e11.B1850C5CN.f09_g16.abrupt4xco2.full.ice.100101_110012.nc) and partially coupled experiments (b.e11.B1850C5CN.f09_g16.abrupt4xco2.partial.ice.100101_115012.nc)</p> <p>ocean surface temperature and the melt and growth ocean-ice heat fluxes and their surface- and circulation-driven components are available at https://doi.org/10.5281/zenodo.3593507</p> <p>Control experiment data is available on the NCAR HPSS /CCSM/csm/b.e11.B1850C5CN.f09_g16.005</p>
Supporting Information for the article "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice"
<p>Chemical models ("Models.pkl") and structures (*.xyz files, figures 2 and 3) supporting the calculations presented in the article : "Enhanced formation of interstellar complex organic molecules on carbon monoxide ice"</p> <p>The chemical models are stored as a dictionary of dictionaries with the following name per model:<br> <br> e_XXXX_T_YYYY_CR_ZZZZ</p> <p>where XXXX are the values of the epsilon parameter (see original article) sampled for \epsilon=0.5 and \epsilon=1.0 (additionally we release models with \epsilon=0.40, 0.45, 0.55, 0.60, 0.65, not discussed in the original article), YYYY is the dust temperature sampled within np.linspace(8,18, 26) and ZZZZ is the cosmic ray ionization rate, sampled within np.logspace(-18, -15, 22).<br> <br> To open the chemical models, prepare a python script of the type:</p> <p>++++<br> import pickle<br> <br> def ice(dictionary, name, species): #Similar functions for gas molecules or surface molecules can be defined<br> gas = dictionary[name][f"{species}"]<br> surface = dictionary[name]["J"+f"{species}"+"(1)"]<br> mantle = dictionary[name]["K"+f"{species}"+"(1,1)"]<br> return surface + mantle</p> <p><br> Data = read_pkl_file('Models.pkl')<br> name = "e_1.00_T_10.0_CR_1.00e-17" #as an example<br> time = ice(Data, name, "Time")<br> CO= ice(Data, name, "CO") </p> <p>print(CO)<br> ++++</p> <p><br> Legend for large COMs: Y=CH2OH, X=CH3O, Q=NH2, M=CH2. Please check the reaction network in https://iopscience.iop.org/article/10.1088/0004-637X/765/1/60 for further details.</p> <p><br> Version 1.0: Revision release, including chemical models and cartesian coordinates supporting Figures 2 and 3 of the manuscript.<br> <br> If you request further data, please do not hesitate to contact us.</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.