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45 results for “glacier dataset”
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 3
The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing.Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually.Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 6
The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing.Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually.Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 1
The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing.Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually.Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 5
The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing.Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually.Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.
"Basal conditions of Denman Glacier from glacier hydrology and ice dynamics modeling" datasets
<p>Data for hydrology and inversions in "Basal conditions of Denman Glacier from glacier hydrology and ice dynamics modeling"</p> <p>Denman_hydrology.mat - hydrology outputs from GlaDS.</p> <p>SchoofNoiseX.mat - stressbalance models with perturbed meshes, Schoof friction law, and GlaDS effective pressure extrapolated to the ISSM domain</p> <p>SchoofCapX.mat - stressbalance models with Schoof friction law, and GlaDS effective pressure extrapolated to the ISSM domain capped at X% of overburden</p> <p>SchoofPrescribed.mat - stressbalance model with Schoof friction law and prescribed effective pressure</p> <p>BuddPrescribed.mat - stressbalance model with Budd friction law and prescribed effective pressure</p> <p>SchoofPrescribedExtrapolation.mat - stressbalance model with Schoof friction law, GlaDS effective pressure for the GlaDS domain and prescribed effective pressure for the rest of the grounded domain</p> <p>BuddPrescribedRigidity.mat - stressbalance model with Budd friction law and prescribed effective pressure, ice rigidity is inverted for after the Budd friction coefficient</p> <p>SchoofPrescribedRigidity.mat - stressbalance model with Schoof friction law and prescribed effective pressure, ice rigidity is inverted for after the Schoof friction coefficient</p> <p>BuddMain - The main stressbalance model with Budd friction law and inverted rigidity used in the paper</p> <p>SchoofMain - The main stressbalance model with Schoof friction law and inverted rigidity used in the paper</p> <p>Buddm3 - stressbalance model with Budd friction law m=1/3 and GlaDS effective pressure</p> <p>Buddm3Prescribed - stressbalance model with Budd friction law m=1/3 and prescribed effective pressure</p> <p>SchoofCmax0X - stressbalance model with Schoof friction law C_max=0.X and GlaDS effective pressure</p> <p>SchoofCmax0XPrescribed - stressbalance model with Schoof friction law C_max=0.X and GlaDS effective pressure</p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.