{
    "tag": 6601,
    "title": "Radiocarbon data from coastal wetlands on the Hawaiian islands of Kaua'i, O'ahu, and Hawai'i",
    "pubdate": "2019",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P9X4STJM",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/ScienceBase\/DR_P9X4STJM\/radiocarbon_anahola_kahana_pololu_meta.faq.html",
    "format": null,
    "email": null,
    "descript": "This portion of the data release presents radiocarbon age data from 66 samples collected from Anahola Valley (Kaua'i), Kahana Valley (O'ahu), and Pololu Valley (Hawai'i). Sample ages were determined by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility. The data are provided in a comma-delimited spreadsheet (.csv).",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "La Selle, SeanPaul M.",
            "role": "Author"
        },
        {
            "name": "Richmond, Bruce M.",
            "role": "Author"
        },
        {
            "name": "Griswold, Frances R.",
            "role": "Author"
        },
        {
            "name": "Lunghino, Brent D.",
            "role": "Author"
        },
        {
            "name": "Jaffe, Bruce E.",
            "role": "Author"
        },
        {
            "name": "Kane, Haunani H.",
            "role": "Author"
        },
        {
            "name": "Bellanova, Piero",
            "role": "Author"
        },
        {
            "name": "Arcos, Maria E. M.",
            "role": "Author"
        },
        {
            "name": "Nelson, Alan R.",
            "role": "Author"
        },
        {
            "name": "Chague, Catherine",
            "role": "Author"
        },
        {
            "name": "Bishop, James M.",
            "role": "Author"
        },
        {
            "name": "Gelfenbaum, Guy R.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "143",
            "name": "carbon-14 analysis",
            "scope": "Method to determine the age of organic geologic and archaeological specimens, aged approximately 3,000 to 50,000 years, by determining the decay of the radioactive isotope carbon-14."
        },
        {
            "thcode": 2,
            "code": "1034",
            "name": "sediment transport",
            "scope": "Transport of solid particles of unconsolidated rock and mineral fragments, chemical precipitates, or biological materials."
        },
        {
            "thcode": 2,
            "code": "1195",
            "name": "tsunamis",
            "scope": "Sea waves generated by submarine earthquakes, volcanic eruptions, or landslides, which are generally imperceptible in deep water but may be very destructive when striking the shoreline."
        },
        {
            "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": "7",
            "name": "Nonliving Resources",
            "scope": "Data are about chemical, physical, or geological features that are of use or importance to humans or ecologies."
        },
        {
            "thcode": 23,
            "code": "20",
            "name": "Physical\/Chemical Features",
            "scope": "Geological, chemical, or hydrodynamic features that are ecologically important or influence patterns of human uses of the ocean. Examples include seamounts, persistent upwelling zones, areas of low dissolved oxygen, and areas of reduced pH. Distributions are recorded observations of parameters and features, often as a function of time as well as place, also including maps and three-dimensional predictions of distributions based on combinations of observations and theory. Distributions of physical and chemical features (for example, physical habitat, substrate, or bathymetry) are often used as data to support habitat-biota models. Assessments provide information about the value, impact, drivers, connections, or functions of a feature in its present distributions, or they evaluate the effects of physical\/chemical features on ecology or suitability for use. Assessments can include climate change models that project environmental effects of climate change and acidification. Larger assessments that combine physical\/chemical features with other Resources and Uses categories can appropriately be included here and also in the other related Resources or Uses categories. Predictions are the results of models or projections of future distributions, values, or impacts, which include anticipated changes produced by natural and human processes, and they are also the results of scenario-testing models for comparing outcomes of different management actions."
        },
        {
            "thcode": 23,
            "code": "21",
            "name": "Physical Habitats and Geomorphology",
            "scope": "Includes measures of the geologic and structural characteristics of the coast or sea floor, such as the features defined in the Geoform Component of CMECS. Distributions are detailed topographic and bathymetric maps, geolocated photographs, or sea-floor descriptions; Distributions includes maps that interpret observations to categorize areas on the basis of geoform types such as those in CMECS. Assessment types include evaluations of ecological or human use value and can include models that project environmental or economic effects of erosion, climate change, dredging, and other stressors. Predictions are the results of models or projections of future distributions, values, or ecological impacts of physical habitats, including predicted changes due to natural and human forces; they are also from scenario-based models of resource losses, gains, or impacts on ecological or economic values under different management strategies (for example, mining, removal, relocation, or the building of structures)."
        },
        {
            "thcode": 23,
            "code": "23",
            "name": "Substrate",
            "scope": "Represents the character and composition of the surface and near surface of the sea floor in subtidal or intertidal areas, as defined in the Substrate Component of CMECS or in similar classification systems. Distributions are records of substrate characteristics based on visual or photographic inspection or on analysis of samples and cores, and they also include interpretive maps classifying areas on the basis of combinations of observations, hydrodynamic models, or geological models. Assessments include evaluations of present ecological or economic values of substrate distributions, drivers of substrate change, and functions of substrates. Predictions are the results of models or projections of future substrate distributions, values, or ecological impacts, including predicted substrate changes due to natural and human forces including erosion, accretion, sea-level change, extraction, trawling, or other factors; and they are the results of scenario-based models of substrate changes on ecological or economic values under different management strategies or other human alterations."
        },
        {
            "thcode": 61,
            "code": "220",
            "name": "sediment",
            "scope": "unconsolidated weathering products that have been eroded, transported, and deposited in another location."
        },
        {
            "thcode": 61,
            "code": "27",
            "name": "tsunamis",
            "scope": "waves produced by submarine earthquakes or landslides, known informally as \"tidal waves\" (although unrelated to the tides)."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": [
        "2014-640-FA",
        "2015-639-FA",
        "2015-671-FA",
        "2017-609-FA"
    ]
}