@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/5f8dde3c-25f1-4bda-9ae4-1b141e05cd3d> a dcat:Dataset ;
    dct:description "This dataset includes \"test data\" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature records from North Temperate Lakes Long-TERM Ecological Research Program (NTL-LTER; https://lter.limnology.wisc.edu/). The buoy is supported by both the Global Lake Ecological Observatory Network (gleon.org) and the NTL-LTER. The dataset also includes Lake Mendota model erformance as measured as root-mean squared errors relative to temperature observations during the test period. This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD)." ;
    dct:identifier "USGS:5d925066e4b0c4f70d0d0599" ;
    dct:issued "2025-11-22T02:36:51.379138"^^xsd:dateTime ;
    dct:modified "20200820"^^xsd:gYear ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:spatial [ a dct:Location ;
            locn:geometry "POLYGON ((-89.4837 43.0771, -89.4837 43.1520, -89.3674 43.1520, -89.3674 43.0771, -89.4837 43.0771))"^^gsp:wktLiteral ] ;
    dct:title "Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Jordan S. Read" ;
            vcard:hasEmail <mailto:jread@usgs.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/5f8dde3c-25f1-4bda-9ae4-1b141e05cd3d/resource/652d4b7a-e76f-4207-b0e2-dc7cac3eea8e>,
        <https://data.amerigeoss.org/dataset/5f8dde3c-25f1-4bda-9ae4-1b141e05cd3d/resource/9bd5fb79-df10-47ea-9eca-9b588d8622ea> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "biota",
        "ckan",
        "climate-change",
        "deep-learning",
        "environment",
        "geo",
        "geoss",
        "hybrid-modeling",
        "inlandwaters",
        "machine-learning",
        "modeling",
        "national",
        "north-america",
        "reservoirs",
        "temperate-lakes",
        "temperature",
        "thermal-profiles",
        "united-states",
        "us",
        "usgs-5d925066e4b0c4f70d0d0599",
        "water",
        "wi",
        "wisconsin" ;
    dcat:theme <%7Bgeospatial%7D> .

<https://data.amerigeoss.org/dataset/5f8dde3c-25f1-4bda-9ae4-1b141e05cd3d/resource/652d4b7a-e76f-4207-b0e2-dc7cac3eea8e> a dcat:Distribution ;
    dct:description "Landing page for access to the data" ;
    dct:format "XML" ;
    dct:issued "2022-07-28T20:59:16.387201"^^xsd:dateTime ;
    dct:modified "2025-11-22T02:36:51.365768"^^xsd:dateTime ;
    dct:title "Digital Data" ;
    dcat:accessURL <http://dx.doi.org/10.5066/P9AQPIVD> ;
    dcat:mediaType "application/http" .

<https://data.amerigeoss.org/dataset/5f8dde3c-25f1-4bda-9ae4-1b141e05cd3d/resource/9bd5fb79-df10-47ea-9eca-9b588d8622ea> a dcat:Distribution ;
    dct:description "The metadata original format" ;
    dct:format "XML" ;
    dct:issued "2022-07-28T20:59:16.387190"^^xsd:dateTime ;
    dct:modified "2025-11-22T02:36:51.365320"^^xsd:dateTime ;
    dct:title "Original Metadata" ;
    dcat:accessURL <https://data.usgs.gov/datacatalog/metadata/USGS.5d925066e4b0c4f70d0d0599.xml> ;
    dcat:mediaType "text/xml" .

<https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> a foaf:Agent ;
    foaf:name "US Migrating" .