@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/481b20b4-79d8-4e91-b352-d7b4b820de3d> a dcat:Dataset ;
    dct:description "&lt;p&gt;This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test case for temperature prediction using deep learning methods. The associated manuscript explores the value of including stream discharge as a predictor in the temperature models, including the value of predicted discharge from a separate model when no discharge measurements are available.&lt;/p&gt; &lt;p&gt;The data are organized into these items:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f908db182ce720ee2d0fef9\"&gt;Spatial Information&lt;/a&gt; - Locations of the 118 monitoring sites used in this study&lt;/li&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f986594d34e198cb77ff084\"&gt;Observations&lt;/a&gt; - Water temperature observations for the 118 sites used in this study&lt;/li&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f9865abd34e198cb77ff086\"&gt;Model Inputs&lt;/a&gt; - Model inputs, including basin attributes, weather drivers, and discharge&lt;/li&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f9865cfd34e198cb77ff088\"&gt;Models&lt;/a&gt; - Code and configurations for the stream temperature models&lt;/li&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f9865e5d34e198cb77ff08a\"&gt;Model Predictions&lt;/a&gt; - Predictions of stream water temperature&lt;/li&gt; &lt;li&gt;&lt;a href=\"https://www.sciencebase.gov/catalog/item/5f9865fbd34e198cb77ff08c\"&gt;Model Evaluation&lt;/a&gt; - Performance metrics for each stream temperature model&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;This research was funded by the Integrated Water Prediction Program at the US Geological Survey.&lt;/p&gt;" ;
    dct:identifier "USGS:5f908bae82ce720ee2d0fef2" ;
    dct:issued "2025-11-21T10:34:31.086270"^^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" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Farshid Rahmani" ;
            vcard:hasEmail <mailto:fzr5082@psu.edu> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/481b20b4-79d8-4e91-b352-d7b4b820de3d/resource/56ac2d50-f6b6-483f-8a12-e97e9983b2b7>,
        <https://data.amerigeoss.org/dataset/481b20b4-79d8-4e91-b352-d7b4b820de3d/resource/f179dbd0-1462-4c94-bba7-57fa70ed8608> ;
    dcat:keyword "al",
        "alabama",
        "amerigeo",
        "amerigeoss",
        "ckan",
        "de",
        "deep-learning",
        "delaware",
        "environment",
        "ga",
        "geo",
        "georgia",
        "geoss",
        "ia",
        "id",
        "idaho",
        "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",
        "united-states",
        "us",
        "usgs-5f908bae82ce720ee2d0fef2",
        "ut",
        "utah",
        "va",
        "virginia",
        "wa",
        "washington",
        "water-resources",
        "water-temperature",
        "west-virginia",
        "wi",
        "wisconsin",
        "wv",
        "wy",
        "wyoming" ;
    dcat:theme <%7Bgeospatial%7D> .

<https://data.amerigeoss.org/dataset/481b20b4-79d8-4e91-b352-d7b4b820de3d/resource/56ac2d50-f6b6-483f-8a12-e97e9983b2b7> a dcat:Distribution ;
    dct:description "Landing page for access to the data" ;
    dct:format "XML" ;
    dct:issued "2022-07-07T15:02:02.661487"^^xsd:dateTime ;
    dct:modified "2025-11-21T10:34:31.050723"^^xsd:dateTime ;
    dct:title "Digital Data" ;
    dcat:accessURL <https://doi.org/10.5066/P97CGHZH> ;
    dcat:mediaType "application/http" .

<https://data.amerigeoss.org/dataset/481b20b4-79d8-4e91-b352-d7b4b820de3d/resource/f179dbd0-1462-4c94-bba7-57fa70ed8608> a dcat:Distribution ;
    dct:description "The metadata original format" ;
    dct:format "XML" ;
    dct:issued "2022-07-07T15:02:02.661479"^^xsd:dateTime ;
    dct:modified "2025-11-21T10:34:31.050273"^^xsd:dateTime ;
    dct:title "Original Metadata" ;
    dcat:accessURL <https://data.usgs.gov/datacatalog/metadata/USGS.5f908bae82ce720ee2d0fef2.xml> ;
    dcat:mediaType "text/xml" .

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