@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix gsp: <http://www.opengis.net/ont/geosparql#> .
@prefix locn: <http://www.w3.org/ns/locn#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.amerigeoss.org/dataset/09febd6a-f6ef-4aea-b253-2dbc8e9977ff> a dcat:Dataset ;
    dct:description "&lt;p&gt;This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ.&lt;/p&gt;" ;
    dct:identifier "USGS:5f9865e5d34e198cb77ff08a" ;
    dct:issued "2025-11-19T22:14:56.220484"^^xsd:dateTime ;
    dct:modified "20201209"^^xsd:gYear ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:spatial [ a dct:Location ;
            locn:geometry "POLYGON ((-123.3299 30.1455, -123.3299 48.9060, -70.9796 48.9060, -70.9796 30.1455, -123.3299 30.1455))"^^gsp:wktLiteral ] ;
    dct:title "Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Farshid Rahmani" ;
            vcard:hasEmail <mailto:fzr5082@psu.edu> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/09febd6a-f6ef-4aea-b253-2dbc8e9977ff/resource/2c68d80a-021e-4ecd-a736-c9b1f24ec5c6>,
        <https://data.amerigeoss.org/dataset/09febd6a-f6ef-4aea-b253-2dbc8e9977ff/resource/525d0d22-623a-4113-bfe7-6dc0e6885dcb> ;
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        "inlandwaters",
        "iowa",
        "kansas",
        "ks",
        "ma",
        "machine-learning",
        "maine",
        "maryland",
        "massachusetts",
        "md",
        "me",
        "mi",
        "michigan",
        "mississippi",
        "modeling",
        "ms",
        "national",
        "nc",
        "nevada",
        "new-jersey",
        "new-mexico",
        "new-york",
        "nj",
        "nm",
        "north-america",
        "north-carolina",
        "nv",
        "ny",
        "oh",
        "ohio",
        "ok",
        "oklahoma",
        "or",
        "oregon",
        "pa",
        "pennsylvania",
        "rhode-island",
        "ri",
        "sc",
        "south-carolina",
        "streams",
        "tennessee",
        "texas",
        "tn",
        "tx",
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        "washington",
        "water-resources",
        "water-temperature",
        "west-virginia",
        "wi",
        "wisconsin",
        "wv",
        "wy",
        "wyoming" ;
    dcat:theme <%7Bgeospatial%7D> .

<https://data.amerigeoss.org/dataset/09febd6a-f6ef-4aea-b253-2dbc8e9977ff/resource/2c68d80a-021e-4ecd-a736-c9b1f24ec5c6> a dcat:Distribution ;
    dct:description "The metadata original format" ;
    dct:format "XML" ;
    dct:issued "2022-07-28T20:47:54.369966"^^xsd:dateTime ;
    dct:modified "2025-11-19T22:14:56.181466"^^xsd:dateTime ;
    dct:title "Original Metadata" ;
    dcat:accessURL <https://data.usgs.gov/datacatalog/metadata/USGS.5f9865e5d34e198cb77ff08a.xml> ;
    dcat:mediaType "text/xml" .

<https://data.amerigeoss.org/dataset/09febd6a-f6ef-4aea-b253-2dbc8e9977ff/resource/525d0d22-623a-4113-bfe7-6dc0e6885dcb> a dcat:Distribution ;
    dct:description "Landing page for access to the data" ;
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    dct:issued "2022-07-28T20:47:54.369973"^^xsd:dateTime ;
    dct:modified "2025-11-19T22:14:56.181882"^^xsd:dateTime ;
    dct:title "Digital Data" ;
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<https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> a foaf:Agent ;
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