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102 results for “water ice”
Water isotopic composition (Oxygen-18 and Deuterium) from the EPICA Dome C ice core at 11 cm resolution
<p>This manuscript presents a compilation of high resolution (11 cm) water isotopic records including published and new measurements over the last 800 000 years on the EPICA Dome C ice core, Antarctica. Using this new water isotopes (δ18O and δD) combined dataset, we study the variability and possible influence of diffusion at multi-decadal to multi-centennial scale. We observe a stronger variability on the onset of the interglacial interval corresponding to a warm period.</p>
Deep potential model and datasets used in the publication "Plastic Deformation of Superionic Water Ices"
<p>The file training_data_for_deepmd.zip contains the training set and deep potential model for superionic ices used in the publication "Plastic Deformation of Superionic Water Ices". The deep potential (DP) neural-network model was generated using the DeepMD-kit package. The training set was generated using AIMD/CP2K calculations for both undeformed and deformed states of the fcc superionic phase at temperatures of 2500, 3000, 3500 and 4000 K. </p> <p> </p> <p>The file cp2k_shear.zip contains instructions to modify the CP2K code to calculate the shear vs strain deformation in continuous mode. </p> <p> </p> <p>The file lammps_dislocation.zip contains the files needed to run the dislocation mobility calculation. </p> <p> </p>
Retrieval and Validation of Total Seasonal Liquid Water Amounts in the Percolation Zone of Greenland Ice Sheet Using L-band Radiometry
<p>This repository contains the dataset associated with the analyses presented in the following study:</p> <p>Hossan, A., Colliander, A., Vandecrux, B., Schlegel, N.-J., Harper, J., Marshall, S., and Miller, J. Z.: <em>Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland Ice Sheet using L-band radiometry</em>, <strong>The Cryosphere</strong>, 19, 4237–4258, <a href="https://doi.org/10.5194/tc-19-4237-2025" target="_new">https://doi.org/10.5194/tc-19-4237-2025</a>, 2025.</p> <p>In this study, we demonstrated the capability of NASA's Soil Moisture Active Passive (SMAP) L-band radiometer to estimate surface and subsurface liquid water amounts (LWA) in the percolation zone of the Greenland Ice Sheet. The article presents our initial retrieval algorithm, validation results, and highlights the potential for developing a Greenland-wide LWA data product.</p> <p><strong>Contents of this Repository</strong></p> <p>This repository includes:</p> <ul> <li><strong>SMAP-retrieved daily, vertically integrated LWA gridded initial data products</strong> (2015–2023), derived from enhanced-resolution SMAP TB observations. These data include spatial coordinates, acquisition dates, and a melt flag indicator.</li> <ul> <li>SMAP_LWA_time_series_AWS contains daily time series at a AWS location (point observation)</li> <li>Samimi_EBM_LWA_time_series_AWS contains corresponding time series of LWA estimated by Samimi model forced by PROMICE AWS.</li> <li>GEMB_LWA_time_series_AWS contains corresponding time series of LWA estimated by GEMB model forced by PROMICE AWS</li> <li>The locations and name ID of the AWS are given in AWS.txt/xls file</li> <li>L_band_LWA_yyyy.nc files contain daily LWA and TB data over the entire percolation zone</li> </ul> <li><strong>Corresponding vertically polarized brightness temperature (TBV) data</strong>, including their winter mean and standard deviation.</li> <li><strong>Model-based LWA estimates used for validation</strong>, including outputs from:</li> <ul> <li>The locally calibrated <strong>Energy and Mass Balance (EMB)</strong> model.</li> <li>The <strong>Glacier Energy and Mass Balance (GEMB)</strong> model within NASA’s <strong>Ice-sheet and Sea-level System Model (ISSM)</strong>.</li> </ul> </ul> <p><strong>Retrieval and Validation Codebase</strong></p> <p>The MATLAB scripts and tools used for the microwave retrieval algorithm, radiative transfer modeling, inversion process, and comparative validation with in situ AWS-driven model outputs are available at the following GitHub repository:</p> <p>🔗 <a href="https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS" target="_new">https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS</a><br><em>(Last accessed: 17 September 2025)</em></p> <p>The codebase includes:</p> <ul> <li>Preprocessing routines for SMAP TB data.</li> <li>Implementation of the radiative transfer forward model.</li> <li>Inversion and threshold-based detection algorithms.</li> <li>Validation scripts for comparison against AWS-forced EMB and GEMB model outputs.</li> </ul> <p><strong>Relevance</strong></p> <p>These data and methods support ongoing efforts to improve surface mass balance (SMB) estimates and enhance projections of Greenland’s contribution to global sea level rise.</p> <p> </p>
Datasets for Morphological and Spectral Characterization of Lunar Regolith Breakdown due to Water Ice
<p>Remote sensing observations of the Moon suggest that the lunar polar regolith environment is affected by several natural processes that may cause the regolith in these regions to become more porous and fine particulate. One of these processes may be the mechanical breakdown of regolith particles through the interaction of water ice and regolith by frost wedging. We present morphological and spectral analyses of high-fidelity lunar regolith simulants LHS-1 (lunar highlands simulant-1) and LMS-1 (lunar mare simulant-1) that have been exposed to varying concentrations of water ice (1, 10, and 30 wt%) over extended periods of time (1, 3, and 6 months) to evaluate the extent at which lunar regolith may be weathered by ice-regolith interactions in the Moon’s polar regions. To characterize changes in regolith particle morphology, we explored grain size and shape parameters with the CILAS ExpertShape suite and characterized the abundance and evolution of clinging fines with scanning electron microscopy (SEM) and energy dispersive x-ray spectroscopy (EDS). Reflectance spectra were taken from 1.0 – 22.5 µm (444.4 - 10,000 cm<sup>-1</sup>) to characterize any differences in spectral features that may occur as a result of regolith breakdown. Both the morphological and spectral investigations display trends that show simulant particle degradation as a function of composition, increasing water concentration, and freezing time. Our study demonstrates that the lunar regolith is susceptible to mechanical breakdown in the presence of water ice and that water ice is likely a contributor to the weathering environment within permanently shadowed regions on the lunar surface.</p> <p>This dataset contains all spectra, SEM images, and ExpertShape images/results used to conduct this work.</p>
Throughfall water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest
An ice storm simulation was performed at the Hubbard Brook Experimental Forest to evaluate impacts of these extreme weather events on northern hardwood forests. Water was pumped from the main branch of Hubbard Brook and sprayed above the forest canopy in subfreezing conditions so that it rained down and froze on contact with trees. The experiment included five ice storm intensities (0, 6.4, 12.7 and 19.1 mm radial ice accretion) applied in a single year, and one ice storm intensity (12.7 mm) applied in two consecutive years. The volume and chemistry of throughfall was quantified and fluxes of major elements were calculated. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Spray water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest
The volume of water applied per plot was calculated as the product of application time and water flow (302.8 L/min). Two hoses sprayed water simultaneously and we estimated that 90% of the spray was applied inside the plot. To construct chemical budgets for the treatments, a 60 ml aliquot of Hubbard Brook stream water was collected prior to each icing, and analyzed for sulfate (SO4), nitrate (NO3) and chloride (Cl) on a Metrohm® Ion Chromatograph; calcium (Ca), magnesium (Mg), potassium (K), and sodium (Na) on an Agilent® 730 ICP optical emission spectrometer; dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) on a Shimadzu® TOCV with a TNM-1 nitrogen (N) detector; and ammonium (NH4) by colorimetry on a SEAL Analytical AQ2 discrete analyzer at the Louis C<emphasis role="strong">.</emphasis> Wyman Forest Sciences Laboratory, Durham, NH. Dissolved organic N (DON) was calculated as the difference between TDN and inorganic N (NO3-N + NH4-N). Total mass of elements applied to the canopy as iced ‘precipitation’ was calculated as the ‘precipitation’ chemistry from the stream aliquot multiplied by the ‘precipitation’ volume for each plot.
McMurdo Dry Valleys Major Ion Concentrations for Glacier Ice, Snow, and Melt Water Samples 1993-1997
The chemistry of various glaciers (Canada, Commonwealth, Howard, Suess, Taylor) in Taylor Valley was measured for the following analytes between 1993 and 1997: Alkalinity, Ca, Cl, F, K, Mg, Na, NO3, Si, and SO4.
Synthesis of urea on the surface of interstellar water ice clusters.
<p>The Supporting Material contains the cartesian coordinates of B3LYP-D3(BJ)/ma-def2-TZVP optimized minima and transition state for the reaction studied in the paper, in .xyz format, computed using <a href="https://gaussian.com/">O</a><a href="https://orcaforum.kofo.mpg.de/">RCA</a> code. The folders are relative to:</p> <ul> <li>gas phase reactions;</li> <li>reactions modelled on the 18 water molecules cluster: <ul> <li>closed-shell + closed-shell;</li> <li>closed-shell + radical;</li> <li>radical + radical (2 outcomes);</li> <li>ion-pair formation (2 pathways);</li> </ul> </li> </ul>
Circum-Antarctic data used in "Tipping point behaviour of ice-sheet grounding-zone melting due to ocean water intrusion" by Bradley and Hewitt
<p>The file 'Antarctica-data.mat' contains the following fields:</p><p>'x' [units: m] x position of grid points</p><p>'y' [units m] y position of grid points</p><p>'tf_max' [units: C] maximum thermal forcing from Adusumilli et al. 2020 (doi: https://doi.org/10.1038/s41561-020-0616-z)</p><p>'H' [units: m] ice thickness from Bedmachine V3</p><p>'B' [units: m] bed elevation from Bedmachine V3</p><p>'mask' [units: n/a] Bedmachine V3 mask</p><p>'isedge' [units: n/a] Logical array with 1 corresponding to edges of ice shelves and 0 otherwise</p><p>'isgl' [units: n/a] Logical array with 1 corresponding to grounding line points and 0 otherwise</p><p>'isfront' [units: n/a] Logical array with 1 corresponding to ice fronts and 0 otherwise</p><p>'vx' [units: m/a] Ice velocity in the x-direction from ITS_LIVE 240m mosaic</p><p>'vy' [units: m/a] Ice velocity in the y-direction from ITS_LIVE 240m mosaic</p>
The fully executable procedure of the U-Net model combined with the Multi-textRG algorithm to achieve fine ice-water classification ---- another 332 scenes of data-fused SIC labels.
<p>This data source is related to the manuscript titled "Combining the U-Net model and a Multi-textRG algorithm for fine SAR ice-water classification", which will be submitted to the journal---The Cryosphere. </p> <ul> <li>The"ready-to-train-fused_01.zip" to "ready-to-train-fused_10.zip" includes 200 scenes of data-fused SIC labels accessible with doi: 10.5281/zenodo.10973107, https://zenodo.org/records/10973107. </li> <li>The "ready-to-train-fused_11.zip" to "ready-to-train-fused_21.zip" includes another 332 scenes of data-fused SIC labels. </li> </ul>
Load, pressure, rubble pile geometry and video data from model-scale tests on shallow water ice-structure interaction
<p>The data is obtained from model-scale experiments on shallow water ice-structure interaction. During the conducted experiments, a ten-meter wide initially intact ice sheet was pushed against a sloping structure of the same width. As the ice failed against the structure, a grounded rubble pile accumulated in front of it. The structure consisted of ten identical one-meter-wide segments and the horizontal load on each of these segments was measured independently with load cells. These measurements are presented as load-time datasets. The horizontal load acting on the false bottom was measured with load cells and are also presented as load-time datasets. Furthermore, the ice pressure on two of the segments was measured with tactile sensors. These pressure measurements are presented as array-based pressure-time datasets. Video footage filmed from two different video angles is included in the data. In addition, the coordinates of the rubble pile geometries at the end of each experiment are published. The data includes the top and side rubble pile geometries. In total, seven experiments were conducted. The data can be used by researchers, engineers and designers who work with ice structure interaction related issues in order to, for instance, optimize the design of offshore structures, improve ice load predictions or develop future experiments and simulations. A full description of the experimental set-up and the published data is submitted to the journal Data in Brief. </p>
Research data supporting "Ephemeral Ice-Like Local Environments in Classical Rigid Models of Liquid Water"
<p>This repository contains the set of data shown in the paper <strong>"</strong><em>Ephemeral Ice-Like Local Environments in Classical Rigid Models of Liquid Water</em>", published on the Journal of Chemical Physics (DOI:10.1063/5.0088599).</p>
Datasets used for Publication "Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds" - Geophysical Research Letters
<p>These files father the output data used in the figures published in the Geophysical Research paper:</p> <p><strong>Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds</strong></p> <p>One output file may be used for multiple figures, as indicated in the name of the Excel spreadsheet.</p>
Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation
<p>This Supporting Material contains:</p> <ul> <li>Fractional coordinates of DFT optimized adsorption complexes for crystalline periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code;</li> <li>Fractional coordinates of HF-3c optimized adsorption complexes for amorphous periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code;</li> <li>Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed;</li> <li>A pdf file with a thorough guide to the computation of BEs and the basis sets employed for the calculations.</li> </ul> <p> </p>
S-chains adsorbed onto amorphous water ice models
<p>This Supporting Material contains:</p> <ul> <li>The fractional coordinates of DFT optimized adsorption complexes for crystalline and amorphous periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code;</li> <li>The images of Raman and IR spectra computed for gas phase and adsorbed S-chains. </li> <li>The frequencies and their intensities computed for each species in gas phase, adsorbed in the cavity region and on the flat region. </li> </ul>
Binding energies of ethanol and ethylamine on interstellar water ices
<p>This Supporting Material contains the fractional coordinates of HF-3c optimized adsorption complexes for crystalline and amorphous periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code of:</p> <ul> <li>Ethylamine and ethanol adsorption complexes on crystalline ice (CI);</li> <li>Ethylamine and ethanol adsorption complexes on amorphous ice (ASW);</li> <li>A-layer and B-layer (100) surfaces of EtNH2, plus three adsorption complexes of ethylamine on these surfaces;</li> <li>A-layer and B-layer (010) surfaces of EtOH, plus three adsorption complexes of ethanol on these surfaces.</li> </ul>
Liquid water content, ice water content and density measured via the SnowMelt Instrument at Auberge station
<pre><span><span>Liquid water content, ice water content and density measured via the SnowMelt Instrument nearby the Auberge station during 3 consecutive winters, from <span>2021-11-05</span> to <span>2024-03-21, for the bottom snow layer (0-7cm). Data are aggregated at the hourly time step. The instrument was unmounted during no-snow periods. The liquid water content of the bottom snow layer can be used as a proxy for snow melt at the measurement point.</span></span></span></pre>
LA_CRDS_WATER_ISOTOPE_ICE_CORES_RAW_DATA
<p>Raw data from LA-CRDS (Laser Ablation - Cavity Ring Down Spectroscopy) measurements on water isotope ice standards and ice core samples that were conducted at Ca'Foscari University of Venice.</p> <p>LA: Analyte Excite+, Teledyne Photon Machines, Bozeman MT, USA</p> <p>CRDS Water Isotope Analyzer: L-2130i, PICARRO, Santa Clara CA, US</p>
Supplement to "Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures"
<p>This data set is was used for the retrieval of ice water path of a precipitating frontal system west of the coast of Iceland using the millimeter/submillimeter radiometer International SubMillimetre Airborne Radiometer (ISMAR) and Microwave Airborne Radiometer Scanning System (MARSS) on board the (Facility for Airborne Atmospheric Measurements) FAAM BAE-146.</p> <p>It is a supplement to the journal article "Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures", which will be published in Atmospheric Measurement Techniques (AMT).</p> <p>The data set consists of</p> <ul> <li>the observed brightness temperatures of ISMAR and MARSS (FAAM_Flight_B897_radiometer-data.zip)</li> <li>the simulated brightness temperatures of ISMAR and MARSS and the corresponding atmospheric states (FAAM_Flight_B897_simulation.zip)</li> <li>the retrieval training database, which has been used to train the neural network retrieval.</li> </ul>
Distribution of water- and ice-related landforms in Utopia Planitia, Mars
<p>This catalog contains a shapefile of the distribution of water- and ice-related landforms in Utopia Planitia.</p> <p>This work is a joint effort of an International Team sponsored by the International Space Science Institute (ISSI).</p>
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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)
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.