@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/0f7169a4-a685-46df-a18b-8c4d6676ce53> a dcat:Dataset ;
    dct:description "This dataset includes compiled water temperature data from a variety of sources, including the Water Quality Portal (Read et al. 2017), the North Temperate Lakes Long-TERM Ecological Research Program (https://lter.limnology.wisc.edu/), the Minnesota department of Natural Resources, and the Global Lake Ecological Observatory Network (gleon.org). 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 "17c44a94-ca8a-4952-8445-a9d88c5b0c9b" ;
    dct:issued "2025-11-19T18:02:53.073831"^^xsd:dateTime ;
    dct:modified "2020-08-20"^^xsd:date ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:spatial [ a dct:Location ;
            locn:geometry "POLYGON ((-94.2609 42.5692, -87.9475 42.5692, -87.9475 48.6428, -94.2609 48.6428, -94.2609 42.5692))"^^gsp:wktLiteral ] ;
    dct:title "Process-guided deep learning water temperature predictions: 4 Training data" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "U.S. Geological Survey (Point of Contact)" ;
            vcard:hasEmail <mailto:jread@usgs.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/2c431910-dcd3-4bbc-aca1-c3575b78d379>,
        <https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/43bfa474-a5a9-4b07-8e65-5b89b9526a62>,
        <https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/6c054119-4744-485d-a1b9-2439a6d0616a> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "ckan",
        "climate-change",
        "deep-learning",
        "geo",
        "geoss",
        "hybrid-modeling",
        "machine-learning",
        "modeling",
        "national",
        "north-america",
        "reservoirs",
        "temperate-lakes",
        "temperature",
        "thermal-profiles",
        "united-states",
        "us",
        "usgs-5d8a42e3e4b0c4f70d0ae5fd",
        "water" ;
    dcat:theme <%7Bgeospatial%7D> .

<https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/2c431910-dcd3-4bbc-aca1-c3575b78d379> a dcat:Distribution ;
    dct:issued "2021-11-04T16:38:05.253258"^^xsd:dateTime ;
    dct:modified "2025-11-19T18:02:53.054332"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <http://dx.doi.org/10.5066/P9AQPIVD> .

<https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/43bfa474-a5a9-4b07-8e65-5b89b9526a62> a dcat:Distribution ;
    dct:issued "2021-11-04T16:38:05.253265"^^xsd:dateTime ;
    dct:modified "2025-11-19T18:02:53.055859"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <https://doi.org/10.1002/2016WR019993> .

<https://data.amerigeoss.org/dataset/0f7169a4-a685-46df-a18b-8c4d6676ce53/resource/6c054119-4744-485d-a1b9-2439a6d0616a> a dcat:Distribution ;
    dct:issued "2021-11-04T16:38:05.253262"^^xsd:dateTime ;
    dct:modified "2025-11-19T18:02:53.055143"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <http://dx.doi.org/10.1029/2019WR024922> .

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