Found 44 datasets matching "Unconsolidated material".
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The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties...
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The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast based on seafloor characteristics and distance to shoreline...
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Bedrock Geology Set is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut....
Search relevance: 47.41 | Views last month: 0 -
Bedrock Geology Set is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut....
Search relevance: 47.25 | Views last month: 0 -
Martian regolith (unconsolidated surface material) is a potential medium for plant growth in bioregenerative life support systems during manned missions on Mars. However, hydrated magnesium...
Search relevance: 46.45 | Views last month: 0 -
This data release, RI_WRpts.gdb, consists of information from Rhode Island Ground-water maps published by the Rhode Island Water Resources Coordinating Board, the Rhode Island Port and Industrial...
Search relevance: 42.96 | Views last month: 10 -
These deposits originate from glacial meltwater, either deposited by streams, through settling in glacial lakes or in glacial marine environments. Stratified drift deposits are commonly located in...
Search relevance: 39.85 | Views last month: 0 -
The Hydrogeologic Terranes dataset includes separate polygon and line feature classes. The polygon feature class divides the glaciated United States into seventeen distinct terranes using a...
Search relevance: 37.65 | Views last month: 3 -
See full Data Guide here. Quaternary Geology Feature Set is 1:24,000-scale data that illustrates the geologic features formed in Connecticut during the Quaternary Period, which spans from 2.588 ±...
Search relevance: 36.67 | Views last month: 0 -
See full Data Guide here. Quaternary Geology Feature Set is 1:24,000-scale data that illustrates the geologic features formed in Connecticut during the Quaternary Period, which spans from 2.588 ±...
Search relevance: 35.84 | Views last month: 0 -
See full Data Guide here. Quaternary Geology Feature Set is 1:24,000-scale data that illustrates the geologic features formed in Connecticut during the Quaternary Period, which spans from 2.588 ±...
Search relevance: 35.54 | Views last month: 0 -
This section of the data release includes drillhole information in the format of a comma-separated value (CSV) file (2018LakePowellCoring_DrillholeInfo.csv). It is Part 1 (of four) in this data...
Search relevance: 34.48 | Views last month: 0 -
This section of the data release includes core and core section information in the format of a comma-separated value (CSV) file (2018LakePowellCoring_CoreSectionInfo.csv). It is Part 2 (of four)...
Search relevance: 33.62 | Views last month: 0 -
This section of the data release includes core log and spectrophotometry data in the format of a comma-separated value (CSV) file (2018LakePowellCoring_CoreLogData.csv). It is Part 3 (of four) in...
Search relevance: 33.45 | Views last month: 0 -
This section of the data release includes core images in the format of photos (JPG) that have been compressed into a zipped file (2018LakePowellCoring_CorePhotos.zip). It is Part 4 (of four) in...
Search relevance: 33.39 | Views last month: 0 -
Hudson River Estuary Shallow Water Surveys. Subbottom data was collected November 5 to December 15, 2009, in the estuary north from Saugerties to Troy. Data Collection and Processing: Subbottom...
Search relevance: 32.80 | Views last month: 0 -
Surficial Aquifer Texture Map was prepared from the Surficial Materials Map of Connecticut (Stone, J.R., Schafer, J.P., London, E.H. and Thompson, W.B., 1992, U.S. Geological Survey special map, 2...
Search relevance: 32.08 | Views last month: 0