{
    "identifier": "gov.noaa.nodc:0222470",
    "accessLevel": "public",
    "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Your contact point",
        "hasEmail": "mailto:[email protected]"
    },
    "programCode": [
        "010:000"
    ],
    "landingPage": "",
    "title": "A global monthly climatology of total alkalinity (AT): a neural network approach (NCEI Accession 0222470)",
    "description": "This dataset contains global monthly climatology of oceanic total alkalinity (AT). Total alkalinity (AT) monthly climatology was created from a neural network approach (Broull\u00f3n et al., 2019). The neural network was trained with GLODAPv2.2019 data (Olsen et al., 2019) using as predictor variables position (latitude, longitude and depth), temperature, salinity, phosphate, nitrate, silicate and dissolved oxygen. The relations extracted between these predictor variables and AT were used to obtain the climatology passing through the network global monthly climatologies of the predictor variables: temperature and salinity fields of the World Ocean Atlas version 2013 (WOA13), filtered WOA13 oxygen (fifth-order one-dimensional median filter through the depth dimension; see Broull\u00f3n et al., 2019 for details) and nutrients computed using CANYON-B (Bittig et al., 2018) over the three previous fields. The obtained climatology has a 1\u00bax1\u00ba spatial resolution and 102 depth levels between 0 and 5500 m, with a monthly resolution from 0 to 1500 m and an annual resolution from 1550 to 5500m.",
    "language": "",
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    ],
    "bureauCode": [
        "010:04"
    ],
    "modified": "2025-11-19T16:17:23.246Z",
    "publisher": {
        "@type": "org:Organization",
        "name": "Your Publisher"
    },
    "theme": "",
    "keyword": [
        "0222470",
        "DEPTH - OBSERVATION",
        "DISSOLVED OXYGEN",
        "LATITUDE",
        "LONGITUDE",
        "NITRATE",
        "phosphate",
        "silicate",
        "total alkalinity",
        "nutrient autoanalyzer",
        "oxygen sensor",
        "titrator",
        "chemical",
        "discrete sample",
        "physical",
        "profile",
        "VARIOUS CHARTERED VESSELS",
        "Institute of Marine Research Vigo",
        "Institute of Marine Research Vigo",
        "GLOBAL OCEAN DATA ANALYSIS PROJECT (GLODAP)",
        "Indian Ocean",
        "North Atlantic Ocean",
        "North Pacific Ocean",
        "South Atlantic Ocean",
        "South Pacific Ocean",
        "Southern Ocean",
        "oceanography",
        "Various",
        "GLODAP > Global Ocean Data Analysis Project",
        "Ocean Carbon and Acidification Data System (OCADS) Project",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ALKALINITY",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > NITRATE",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > OXYGEN",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PHOSPHATE",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > SILICATE",
        "Data synthesis product",
        "AT_NNGv2",
        "depth",
        "latitude",
        "longitude",
        "nitrate",
        "oxygen",
        "phosphate",
        "silicate",
        "AUTOANALYZER > AUTOANALYZER",
        "OXYGEN METERS > OXYGEN METERS",
        "OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN",
        "OCEAN > ATLANTIC OCEAN > SOUTH ATLANTIC OCEAN",
        "OCEAN > INDIAN OCEAN",
        "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
        "OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN",
        "OCEAN > SOUTHERN OCEAN",
        "Arctic Ocean",
        "Atlantic Ocean",
        "Indian Ocean",
        "Pacific Ocean",
        "Southern Ocean",
        "environment",
        "oceans"
    ]
}