Material Resources

Significant quantities of any naturally occurring nonliving substances that humans can potentially use for economic, nutritional, recreational, ecological, aesthetic, and other benefits. This category does not include energy resources, which are discussed previously. Distributions are recorded observations, interpreted data, or models of specified resources at known times and locations and can include added tangible information for the resource in question (for example, thickness of deposit). Assessments are evaluations of total resource availability, economic value, ecological function and value, drivers, difficulty of extraction, and sustainability; larger assessments that combine Resources and Uses categories can appropriately be included both here and in the other related Resources or Uses categories. Predictions are the results of models or projections of future distributions, values, or impacts of material resources; these data include modeled changes to resources due to natural and human processes. Examples include models of resource losses or gains under different rates of resource extraction, deposition, natural removal, and accumulation; models of how changes to one resource can affect other resources or uses; and models that compare outcomes of different management actions.
Subtopics:
Sand Resources (15 items)

24 results listed by similarity [list alphabetically]
usSEABED PaRSed data for the entire U.S. Gulf of Mexico and Caribbean (GMX_PRS, Puerto Rico and U.S. Virgin Islands)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the parsed (PRS) output of the dbSEABED mining software. It contains the results of parsing descriptions in the data resources. The PRS data is less precise because it comes from word-based descriptions, but will include information on outsized elements, consolidation that are not usually in EXT data.

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usSEABED facies data for the entire U.S. Gulf of Mexico and Caribbean (GMX_FAC, Puerto Rico and U.S. Virgin Islands)

The facies data layer (_FAC.txt) is a point coverage of known sediment samplings, inspections, and probings from the usSEABED data collection and integrated using the software system dbSEABED. The facies data layer (_FAC.txt)represents concatenated information about components (minerals and rock type), genesis (igneous, metamorphic, carbonate, terrigenous), and other appropriate groupings of information about the seafloor. The facies data are parsed from written descriptions from cores, grabs, photographs, ...

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usSEABED EXTracted data for the entire U.S. Gulf of Mexico and Caribbean (GMX_EXT, Puerto Rico and U.S. Virgin Islands)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software. It contains data items which were simply extracted from the data resources through data mining. The EXT data is usually based on instrumental analyses (probe or laboratory) but may apply to just a subsample of the sediment (eg. no large shells).

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usSEABED component and features data for the entire U.S. Gulf of Mexico and Caribbean (GMX_CMP, Puerto Rico and U.S. Virgin Islands)

This component data layer (_CMP.txt) file gives information about selected components (minerals, rock type, microfossils, benthic biota) and seafloor features (bioturbation, structure, ripples) at a given site. Values in the attribute fields represent the membership to that attribute's fuzzy set. For components such as minerals, rocks, micro-biota and plants, and/or epifauna and infauna, corals and other geologic and biologic information, the value depends on sentence structure and other components in ...

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usSEABED CaLCulated data for the entire U.S. Gulf of Mexico and Caribbean (GMX_CLC, Puerto Rico and U.S. Virgin Islands)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. It contains results from calculating variables using empirical functions working on the results of extraction or parsing. The CLC data is the most derivative and certainly the least accurate; however, many clients appreciate that it extends the ...

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usSEABED PaRSed data for the entire U.S. Atlantic Coast (ATL_PRS)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the parsed (PRS) output of the dbSEABED mining software. It contains the results of parsing descriptions in the data resources. The PRS data is less precise because it comes from word-based descriptions, but will include information on outsized elements, consolidation that are not usually in EXT data.

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usSEABED facies data for the entire U.S. Atlantic Coast (ATL_FAC)

The facies data layer (_FAC.txt) is a point coverage of known sediment samplings, inspections, and probings from the usSEABED data collection and integrated using the software system dbSEABED. The facies data layer (_FAC.txt)represents concatenated information about components (minerals and rock type), genesis (igneous, metamorphic, carbonate, terrigenous), and other appropriate groupings of information about the seafloor. The facies data are parsed from written descriptions from cores, grabs, photographs, ...

Info
usSEABED EXTracted data for the entire U.S. Atlantic Coast (ATL_EXT)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software. It contains data items which were simply extracted from the data resources through data mining. The EXT data is usually based on instrumental analyses (probe or laboratory) but may apply to just a subsample of the sediment (eg. no large shells).

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usSEABED component and features data for the entire U.S. Atlantic Coast (ATL_CMP)

This component data layer (_CMP.txt) file gives information about selected components (minerals, rock type, microfossils, benthic biota) and seafloor features (bioturbation, structure, ripples) at a given site. Values in the attribute fields represent the membership to that attribute's fuzzy set. For components such as minerals, rocks, micro-biota and plants, and/or epifauna and infauna, corals and other geologic and biologic information, the value depends on sentence structure and other components in ...

Info
usSEABED CaLCulated data for the entire U.S. Atlantic Coast (ATL_CLC)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. It contains results from calculating variables using empirical functions working on the results of extraction or parsing. The CLC data is the most derivative and certainly the least accurate; however, many clients appreciate that it extends the ...

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PAC_PRS - Parsed seabed data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_prs.txt)

This data layer (PAC_PRS.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific continental margin integrated using the dbSEABED software system. This data layer represents the parsed (PRS) output of the dbSEABED mining software. It contains the numeric results parsed from text-based descriptions held in the data resource files (DRF). Because it relies on descriptions, the PRS data are less precise than the extracted data ...

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PAC_FAC: Seabed facies data (combined components) for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_fac.txt)

The facies data layer (PAC_FAC.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific margin, integrated using the software system dbSEABED. The facies data layer (PAC_FAC.txt) represents concatenated information about components (minerals and rock type), genesis (igneous, metamorphic, carbonate, terrigenous), and other appropriate groupings of information about the sea floor. These data are parsed from written ...

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PAC_EXT - Extracted seabed data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_ext.txt)

This data layer (PAC_EXT.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific continental margin integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software and contains data items which were extracted from the data resources files and generally represent lab-based analytical data. The EXT data are usually considered the most rigorous data ...

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Seabed component and feature data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_cmp.txt)

This data layer (PAC_CMP.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S. Pacific continental margin integrated using the software system dbSEABED. This data file gives numeric data about selected components (for example, minerals, rock type, microfossils, and benthic biota) and sea floor features (for example, bioturbation, structure, and ripples) at a given site. Values in the attribute fields represent the membership to ...

Info
PAC_CLC: Calculated seabed data for the continental margin of the U.S. Pacific Coast (California, Oregon, Washington) from usSEABED (pac_clc.txt)

This data layer (PAC_CLC.txt) is one of five point coverages of known sediment samples, inspections, and probes from the usSEABED data collection for the U.S Pacific continental margin integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. Data in this file extend variables determined through the data extraction (EXT) and data parsing (PRS) processes of dbSEABED, calculated using empirical relations or known functions. The CLC ...

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Grain-size data for sediment samples collected in Whiskeytown Lake, northern California, in 2018 and 2019

This data release includes grain-size data from sediment samples collected in submerged and subaerial regions in Whiskeytown Lake and around the reservoir margin. Sediment samples were collected using a sampler deployed from a boat or by hand from locations exposed above the water surface. Sediment grain size was analyzed at the USGS laboratory in Santa Cruz, Calif. The full data set is reported here, but users should be aware that due to instrument error the data between approximately grain sizes from 0 ...

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Geophysical properties, geochronologic, and geochemical data of sediment cores collected from San Pablo Bay, California, October 17-20, 2016

Geophysical properties (P-wave velocity, gamma ray density, and magnetic susceptibility), geochronologic (radiocarbon, excess Lead-210, and Cesium-137), and geochemical data (organic carbon content and 60 element contents) are reported for select vibracores collected aboard the S/V Retriever October 17-20, 2016, in San Pablo Bay, California. Geophysical properties were measured with a Geotek Multi-Sensor Core Logger (MSCL). Radiocarbon was measured by accelerator mass spectrometry (AMS). Excess Lead-210 and ...

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Sediment grain-size data from vibracore samples collected offshore San Francisco, California, during field activity 2019-649-FA from 2019-10-11 to 2019-10-18

This section of the data release contains grain-size and total organic carbon (TOC) analyses of 132 samples taken from vibracores that were collected aboard the R/V Bold Horizon in 2019 on U.S. Geological Survey Field Activity 2019-649-FA offshore San Francisco, California. The samples were analyzed for percent weight of grain size and total organic carbon. The samples were taken at approx. 50 cm intervals from (and including) the core-catcher, which represents the bottom of the core.

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Photographs of vibracores collected offshore San Francisco, California, during field activity 2019-649-FA from 2019-10-11 to 2019-10-18

This section of the data release contains photographs of 34 vibracores that were collected aboard the R/V Bold Horizon in 2019 on U.S. Geological Survey Field Activity 2019-649-FA offshore San Francisco, California. Continuous line-scan photographs were created in the lab to assess sand and gravel resources in Federal and State waters for potential use in future beach nourishment projects along stretches of the coast where critical erosion hotspots have been identified.

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Core logger data from vibracores collected offshore San Francisco, California, during field activity 2019-649-FA from 2019-10-11 to 2019-10-18

This section of the data release contains core logger tabular data of 34 vibracores that were collected aboard the R/V Bold Horizon in 2019 on U.S. Geological Survey Field Activity 2019-649-FA offshore San Francisco, California. The cores were analyzed for gamma ray density and magnetic susceptibility. The logging was performed at 1-cm intervals from the top of each core section. In addition to the core logger data, the locations of the cores are available as either a comma-delimited file or a shapefile.

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Mineralogy, rare earth elements, and strontium isotopic composition of phosphorites and phosphatized rocks from the Rio Grande Rise, south Atlantic Ocean

Phosphorites and phosphatized rocks from the summit of the Rio Grande Rise (RGR) in the south Atlantic Ocean were collected via dredge during the oceanographic research cruise RGR1 to the western RGR. The location (latitude, longitude, depth), mineralogy, concentrations of phosphorus and rare earth elements, and 87Sr/86Sr ratios of phosphorites and phosphatized FeMn crusts, ironstones, and carbonates from 10 dredge sites are presented here. These data were used to determine the presence of carbonate ...

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Sediment grain size data from vibracore samples collected offshore Oceanside to San Diego, southern California, during field activity 2018-638-FA from 2018-05-22 to 2018-05-26

This section of the data release contains grain-size and total organic carbon (TOC) analyses of 174 samples taken from vibracores that were collected aboard the R/V Bold Horizon in 2018 on U.S. Geological Survey Field Activity 2018-638-FA offshore Oceanside to San Diego, southern California. The samples were analyzed for percent weight of grain size and total organic carbon. The samples were taken at approx. 50 cm intervals from (and including) the core-catcher, which represents the bottom of the core.

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Photographs of vibracores collected offshore Oceanside to San Diego, southern California, during field activity 2018-638-FA from 2018-05-22 to 2018-05-26

This section of the data release contains photographs of 41 vibracores that were collected aboard the R/V Bold Horizon in 2018 on U.S. Geological Survey Field Activity 2018-638-FA offshore Oceanside to San Diego, southern California.

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Core logger data from vibracores collected offshore Oceanside to San Diego, southern California, during field activity 2018-638-FA from 2018-05-22 to 2018-05-26

This section of the data release contains core logger tabular data of 41 vibracores that were collected aboard the R/V Bold Horizon in 2018 on U.S. Geological Survey Field Activity 2018-638-FA offshore Oceanside to San Diego, southern California. The cores were analyzed for sound velocity (P-wave) and gamma ray density. The logging was performed at 1-cm intervals from the top of each core section. In addition to the core logger data, the location of the cores are available as either a comma-delimited file ...

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