@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/09814217-d700-4fe6-bb81-8bf1522240fb> a dcat:Dataset ;
    dct:description "Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added physical constraint for energy conservation as a loss term. These models were pre-trained with uncalibrated Process-Based model outputs (PB0) before training on actual temperature observations. Zip files for each lake contain four files, one for each of PB, PB0, DL, and PGDL." ;
    dct:identifier "db922a51-1426-4d26-a49c-1d15f84e56df" ;
    dct:issued "2025-11-19T21:59:16.804912"^^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: 5c All lakes historical prediction 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/09814217-d700-4fe6-bb81-8bf1522240fb/resource/249ab4b6-8a2c-4286-bca1-4c4e9ba4e62d>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/430dfaec-18d8-45fe-bc0d-1995a5131597>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/4386f76b-c339-41c8-bb41-279c14dd3687>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/4a520d5d-d411-47bd-8ed4-45903ede8f34>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/6c8e2b33-5fe6-40f7-81a9-2d0318ebd422>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/7904758a-7d21-484d-8e06-5a6099382a7d>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/850ae4eb-6f19-4655-8da0-43c2f2f64b29>,
        <https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/be172e35-dd02-427f-9bc0-611981c4c150> ;
    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-5d915c8ee4b0c4f70d0ce520",
        "water" ;
    dcat:theme <%7Bgeospatial%7D> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/249ab4b6-8a2c-4286-bca1-4c4e9ba4e62d> a dcat:Distribution ;
    dct:issued "2022-07-28T21:52:11.863666"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.791678"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <https://doi.org/10.5066/F7D798MJ> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/430dfaec-18d8-45fe-bc0d-1995a5131597> a dcat:Distribution ;
    dct:issued "2022-07-28T21:52:11.863656"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.789766"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <http://dx.doi.org/10.1029/2019WR024922> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/4386f76b-c339-41c8-bb41-279c14dd3687> a dcat:Distribution ;
    dct:issued "2022-07-28T21:52:11.863659"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.790292"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <https://doi.org/10.5194/gmd-12-473-2019> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/4a520d5d-d411-47bd-8ed4-45903ede8f34> a dcat:Distribution ;
    dct:issued "2022-07-28T21:52:11.863653"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.789246"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <http://dx.doi.org/10.5066/P9AQPIVD> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/6c8e2b33-5fe6-40f7-81a9-2d0318ebd422> a dcat:Distribution ;
    dct:issued "2022-07-28T21:52:11.863661"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.790764"^^xsd:dateTime ;
    dct:title "Web Resource" ;
    dcat:accessURL <http://dx.doi.org/10.5066/F7DV1H10> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/7904758a-7d21-484d-8e06-5a6099382a7d> a dcat:Distribution ;
    dct:description "The metadata original source" ;
    dct:format "XML" ;
    dct:issued "2022-07-28T21:52:11.863669"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.792114"^^xsd:dateTime ;
    dct:title "Original Metadata" ;
    dcat:accessURL <https://data.doi.gov/harvest/object/64cbde31-a675-4e95-ad37-1ff3a25d89e3> ;
    dcat:mediaType "text/xml" .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/850ae4eb-6f19-4655-8da0-43c2f2f64b29> a dcat:Distribution ;
    dct:description "CSDGM IMPORT ERROR: No digtinfo/formcont" ;
    dct:issued "2022-07-28T21:52:11.863646"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.788712"^^xsd:dateTime ;
    dct:title "Two hundred and seventy two comma-separated files" ;
    dcat:accessURL <http://dx.doi.org/10.5066/P9AQPIVD> .

<https://data.amerigeoss.org/dataset/09814217-d700-4fe6-bb81-8bf1522240fb/resource/be172e35-dd02-427f-9bc0-611981c4c150> a dcat:Distribution ;
    dct:description "1810.02880.pdf" ;
    dct:format "PDF" ;
    dct:issued "2022-07-28T21:52:11.863664"^^xsd:dateTime ;
    dct:modified "2025-11-19T21:59:16.791216"^^xsd:dateTime ;
    dct:title "PDF File" ;
    dcat:accessURL <https://arxiv.org/pdf/1810.02880.pdf> .

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