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102 results for “water ice”
JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height JPL Release 06.3 Version 04
This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The data are provided in a single data file in netCDF format, with water storage/height anomalies in equivalent water thickness units (cm). The data are derived from solving for monthly gravity field variations on geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the computation to intrinsically remove correlated errors. Thus, these Mascon grids do not need to be de-correlated or smoothed, like traditional spherical harmonic gravity solutions.<br><br>The complete Mascon solution consists of 4,551 independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. Please note that this dataset does not correct for leakage errors across coastlines; it is therefore recommended only for users who want to apply their own algorithm to separate between land and ocean mass very near coastlines.<br><br>This RL06.3Mv04 is an updated version of the previous Tellus JPL Mascon RL06.1Mv03. For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon processing, including the mathematical derivation, implementation of geophysical constraints, and validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. This product is intended for expert use only; other users are encouraged to use the CRI-filtered Mascon dataset, which is available here: https://podaac.jpl.nasa.gov/dataset/TELLUS_GRAC-GRFO_MASCON_GRID_RL06.3_V4.
JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.3 Version 04
This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). A Coastal Resolution Improvement (CRI) filter has been applied to this data set to reduce signal leakage errors across coastlines. For most land hydrology, oceanographic as well as land-ice applications this is the recommend data set for the analysis of surface mass changes. The data are provided in a single data file in netCDF format, with water storage/height anomalies in equivalent water thickness units (cm). The data are derived from solving for monthly gravity field variations on geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the computation to intrinsically remove correlated errors. Thus, these Mascon grids do not need to be de-correlated or smoothed, like traditional spherical harmonic gravity solutions.<br><br> The complete Mascon solution consists of 4,551 independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. A subset of these individual mascons span coastlines, and contain mixed land and ocean mass change signals. In a post-processing step, the CRI filter is applied to those mixed land/ocean Mascons to separate land and ocean mass. The land mask used to perform this separation is provided in the same directory as this dataset, as are uncertainty values, and the gridded mascon-ID number to enable further analysis. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (for continental hydrology applications) that can be applied to the solution to study mass change signals at sub-mascon resolution is also provided within the same data directory as the Mascon data. For use-case examples and further background on the gain factors, please see Wiese, Landerer & Watkins, 2016, https://doi.org/10.1002/2016WR019344.<br><br>This RL06.3Mv04 is an updated version of the previous Tellus JPL Mascon RL06.1Mv03 (DOI, 10.5067/TEMSC-3JC63). For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. For a detailed description of the CRI filter implementation, please see Wiese et al., 2016, doi:10.1002/2016WR019344.
Repository: Evidence of Exposed Dusty Water Ice within Martian Gullies
<p>This repository contains:</p> <p>1. Calculated spectra of snow-dust mixtures from Khuller and Christensen (2020)</p> <p>2. Measured spectra of ice and soil from Blaney et al. (2009)</p> <p>3. Refractive indices of martian dust from Wolff et al. (2009)</p> <p>4. Effective thermal conductivities of martian snow and ice, based on Clow (1987).</p> <p>5. Image details of HiRISE, CTX and THEMIS images analyzed in this work.</p> <p>6. Supplementary Animations (1-3) of changes observed within gully seen in HiRISE images ESP_013067_1470 and ESP_065800_1470</p> <p><strong>References:</strong></p> <p>Blaney, D. L., Archer, D., Arvidson, R., Cull, S., Ellehøj, M., Fisher, D., ... & Pike, T. (2009). Multi-spectral imaging of the Phoenix landing site: Characteristics of surface and subsurface ice, rocks, and soils. <em>LPI</em>, 2047.</p> <p>Clow, G. D. (1987). Generation of liquid water on Mars through the melting of a dusty snowpack. <em>Icarus</em>, <em>72</em>(1), 95-127.</p> <p>Wolff, M. J., Smith, M. D., Clancy, R. T., Arvidson, R., Kahre, M., Seelos, F., ... & Savijärvi, H. (2009). Wavelength dependence of dust aerosol single scattering albedo as observed by the Compact Reconnaissance Imaging Spectrometer. <em>Journal of Geophysical Research: Planets</em>, <em>114</em>(E2).</p>
Trajectory files for "Where does the energy go during the interstellar NH3 formation on water ice? A computational study"
<p>CP2K trajectory files for the N+H, NH + H and NH2 + H reactions on the amorphous water ice surface</p>
Data for: Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars from High Resolution Imaging Science Experiment (HiRISE) Images
<p>This repository contains all the HiRISE UNFILTERED products used in the paper by Rangarajan et al. (2023) titled "Novel quantitative methods to enable multispectral identification of high-purity water ice exposures using High Resolution Imaging Science Experiment (HiRISE) images" published in Icarus. </p>
Treating Post-Operative Thirst With Flavoured Ice Lollies or Water - a Comparative Study to Improve Post-operative Discomfort
ClinicalTrials.gov study NCT06014216. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Ice Cold Mentholated Water Spray After Rhinoplasty
ClinicalTrials.gov study NCT07233057. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Nail Changes Associated With Chemotherapy and Prevention of Nail Pigmentation by Ice Water Immersion
ClinicalTrials.gov study NCT04215744. IPD Sharing: NO. Countries: 1. Publications: 0.
Treatment of Exertional Heatstroke witH icE wAter Soaked Towels
ClinicalTrials.gov study NCT05717777. IPD Sharing: NO. Countries: 1. Publications: 0.
Detrusor Contraction During the Ice-water-test
ClinicalTrials.gov study NCT01773213. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gastric Volume After Drinking 175 ml of Ice Water Prior to Gastroscopy in Healthy Adult Patients
ClinicalTrials.gov study NCT05685446. IPD Sharing: NO. Countries: 1. Publications: 0.
Great Lakes Daily Ice Observations at NOAA Water Level Gauge Sites, 1956 - 1997, Version 1
This data set contains daily visual ice observations taken yearly from 1 November to 30 April at NOAA/National Ocean Service water level gauge sites in the Great Lakes Basin from 1956 to the 1997. Not all gauge sites have reported each season; a list of sites with coordinates and reporting years is included with the data set. The longest records tend to be at river stations such as St. Clair, St. Marys, Detroit, and St. Lawrence. Daily observations are coded (open water, solid ice, honeycombed ice, slush ice, windrowed ice, drifting ice, or ice gorge), as well as first and last reported ice for each season.
Multilayer Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS V001
This multilayer data set includes standard MODIS Collection 6.1 ice surface temperature (IST) and derived melt map, as well as MODIS Collection 6.0 albedo and water vapor for Greenland, at a spatial resolution of 0.78 km. These fields enable the relationship between IST and surface melt to be evaluated by researchers studying surface changes on the Greenland ice sheet. Water vapor is included to assist with evaluating the accuracy of the IST data and the model output. Also included is an ice mask and a basins mask for delineating drainage basins in Greenland. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice sheet radiation budget and mass balance. Surface temperature also influences ice sheet processes, such as surface melt. This data set may be used as a resource for model-validation studies such as comparing MERRA-2 surface temperature with MODIS IST, and for comparing MODIS IST, albedo and water vapor with products from sensors on other satellites such as VIIRS and AIRS The temporal coverage for this data set spans 1 March 2000 through 31 December 2019, with the exception of the IST data, which has been extended through 31 Aug 2021.
OPTICAL CONSTANTS AND LAB SPECTRA OF WATER ICE V1.1
Transmission spectra of amorphous and crystalline H2O-ice at temperatures from 20-150 K for a wavelength range from 1.11 to 2.63 microns. These spectra have not been continuum-corrected or had the infrared interference fringes removed. Optical constants (n and k values) were derived from these laboratory spectra and are included in the data set.
Multilayer Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS V001
This multilayer data set includes standard MODIS Collection 6.1 ice surface temperature (IST) and derived melt map, as well as MODIS Collection 6.0 albedo and water vapor for Greenland, at a spatial resolution of 0.78 km. These fields enable the relationship between IST and surface melt to be evaluated by researchers studying surface changes on the Greenland ice sheet. Water vapor is included to assist with evaluating the accuracy of the IST data and the model output. Also included is an ice mask and a basins mask for delineating drainage basins in Greenland. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice sheet radiation budget and mass balance. Surface temperature also influences ice sheet processes, such as surface melt. This data set may be used as a resource for model-validation studies such as comparing MERRA-2 surface temperature with MODIS IST, and for comparing MODIS IST, albedo and water vapor with products from sensors on other satellites such as VIIRS and AIRS The temporal coverage for this data set spans 1 March 2000 through 31 December 2019, with the exception of the IST data, which has been extended through 31 Aug 2021.
OPTICAL CONSTANTS AND LAB SPECTRA OF WATER ICE
Transmission spectra of amorphous and crystalline H2O-ice at temperatures from 20-150 K for a wavelength range from 1.11 to 2.63 microns. These spectra have not been continuum-corrected or had the infrared interference fringes removed. Optical constants (n and k values) were derived from these laboratory spectra and are included in the data set.
OPTICAL CONSTANTS AND LAB SPECTRA OF WATER ICE V1.0
Transmission spectra of amorphous and crystalline H2O-ice at temperatures from 20-150 K for a wavelength range from 1.11 to 2.63 microns. These spectra have not been continuum-corrected or had the infrared interference fringes removed. Optical constants (n and k values) were derived from these laboratory spectra and are included in the data set.
Shallow subsurface water-ice distribution in the lunar south pole: Analysis based on Mini-RF and multi-metrics
Open the record for dataset details and reuse information.
Relationship between Condensed Water Content and Liquid-Ice Mixing Homogeneity in Mixed-Phase Stratiform Clouds: Dataset
Open the record for dataset details and reuse information.
OPTICAL CONSTANTS AND LAB SPECTRA OF WATER ICE V1.0
Transmission spectra of amorphous and crystalline H2O-ice at temperatures from 20-150 K for a wavelength range from 1.11 to 2.63 microns. These spectra have not been continuum-corrected or had the infrared interference fringes removed. Optical constants (n and k values) were derived from these laboratory spectra and are included in the data set.
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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.