{
    "tag": 18963,
    "title": "Nearshore Electrical Resistivity Tomography (ERT) profile data, Ofu, American Samoa, February 2020",
    "pubdate": "2025",
    "sername": null,
    "series_name": null,
    "issue": "doi:10.5066\/P1QPSVMZ",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/ScienceBase\/DR_P1QPSVMZ\/Ofu20_ERT_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "Along-shore surface-based 2D electrical resistivity tomography (ERT) surveys were collected in the nearshore region of Ofu, American Samoa.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Oberle, Ferdinand K. J.",
            "role": "Author"
        },
        {
            "name": "Johnson, Cordell D.",
            "role": "Author"
        },
        {
            "name": "Logan, Joshua B.",
            "role": "Author"
        },
        {
            "name": "Storlazzi, Curt D.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "2087",
            "name": "electrical resistivity imaging",
            "scope": "Land-based resistivity survey where current is applied to the ground using an array of electrodes and apparent resistivity of the subsurface is measured, giving estimates of the spatial variability of resistivity (for example, variations in pore water salinity)."
        },
        {
            "thcode": 2,
            "code": "2087",
            "name": "electrical resistivity imaging",
            "scope": "Land-based resistivity survey where current is applied to the ground using an array of electrodes and apparent resistivity of the subsurface is measured, giving estimates of the spatial variability of resistivity (for example, variations in pore water salinity)."
        },
        {
            "thcode": 2,
            "code": "1712",
            "name": "resistivity",
            "scope": "Electrical resistance of materials, often measured in boreholes."
        },
        {
            "thcode": 2,
            "code": "1172",
            "name": "time series datasets",
            "scope": "Digital information describing observations taken at specified time intervals.  The time interval may be regular or variable; the type of observed phenomena and the location are typically constant."
        },
        {
            "thcode": 15,
            "code": "002",
            "name": "biota",
            "scope": "Flora or fauna in natural environment, for example wildlife, vegetation, biological sciences, ecology, wilderness, sea life, wetlands, habitat, biological resources"
        },
        {
            "thcode": 15,
            "code": "008",
            "name": "geoscientificInformation",
            "scope": "Information pertaining to earth sciences, for example geophysical features and processes, geology, minerals, sciences dealing with the composition, structure and origin of the earth's rocks, risks of earthquakes, volcanic activity, landslides, gravity information, soils, permafrost, hydrogeology, groundwater, erosion"
        },
        {
            "thcode": 23,
            "code": "24",
            "name": "Water Column Features",
            "scope": "Includes persistent or regularly occurring waves, layers, water masses, upwellings, stratifications, and fronts that are defined by patterns of water velocity, physical properties, and biogeochemical properties; these features are listed and defined in the Layer, Hydroform, and Biogeochemical Feature layers of the Water Column Component of CMECS. Distributions are records of currents, physical properties, or biogeochemical water properties, often based on shipboard surveys or coastal monitoring programs, and maps of currents or water property climatology, which indicate the expected locations of features under present conditions or apply a classification structure like that of CMECS. Assessments are data that provide information about the ecological or economic values, impacts, drivers, connections, or functions of water column features in their present distributions. Predictions are the results of models projecting future changes to currents or other persistent oceanographic features (for example, clines, stratification, connectivity, linkages, and zones of separation) due to climate change, ice-cap melt, and changing freshwater inputs; models predicting the ecological or economic impacts of these changes; and scenario-testing models comparing ecological or economic outcomes of different management actions."
        },
        {
            "thcode": 61,
            "code": "754",
            "name": "physical oceanography",
            "scope": "the study of physical conditions and processes in the oceans."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": [
        "2020-620-FA"
    ]
}