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

<https://data.amerigeoss.org/dataset/7db3b497-9ac3-4711-bf6a-172d978d7394> a dcat:Dataset ;
    dct:description """NASA Ames Research Center’s Sustainability Base is a new\r
50,000 sq. ft. LEED Platinum office building. Plug loads\r
are expected to account for a significant portion of the overall\r
energy consumption. This is because building design choices\r
have resulted in greatly reduced energy demand from Heating,\r
Ventilation, and Air Conditioning (HVAC) and lighting\r
systems, which are major contributors to energy consumption\r
in traditional buildings. In anticipation of the importance of\r
plug loads in Sustainability Base, a pilot study was conducted\r
to collect data from a variety of plug loads. A number of cases\r
of anomalous or unhealthy behavior were observed including\r
schedule-based rule failures, time-to-standby errors, changed\r
loads, and inter-channel anomalies. These issues prevent effective\r
plug load management; therefore, they are important\r
to promptly identify and correct. The Inductive Monitoring\r
System (IMS) data mining algorithm was chosen to identify\r
errors. This paper details how an automated data analysis program\r
was created, tested and implemented using IMS. This\r
program will be applied to Sustainability Base to maintain\r
effective plug load management system performance, identify\r
malfunctioning equipment, and reduce building energy\r
consumption.""" ;
    dct:identifier "DASHLINK_860" ;
    dct:issued "2013-12-12"^^xsd:date ;
    dct:modified "2020-01-29"^^xsd:date ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:title "Application of Inductive Monitoring System to Plug Load Anomaly Detection" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "SCOTT POLL" ;
            vcard:hasEmail <mailto:scott.d.poll@nasa.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/7db3b497-9ac3-4711-bf6a-172d978d7394/resource/f0441d91-0482-449f-98a1-840e73017409> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "ames",
        "ckan",
        "dashlink",
        "geo",
        "geoss",
        "nasa",
        "national",
        "north-america",
        "united-states" .

<https://data.amerigeoss.org/dataset/7db3b497-9ac3-4711-bf6a-172d978d7394/resource/f0441d91-0482-449f-98a1-840e73017409> a dcat:Distribution ;
    dct:description "phmc_12_103.pdf" ;
    dct:format "PDF" ;
    dct:issued "2020-11-12T04:42:59.645109"^^xsd:dateTime ;
    dct:modified "2025-11-22T22:34:56.468758"^^xsd:dateTime ;
    dct:title "phmc_12_103.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/phmc_12_103.pdf> ;
    dcat:mediaType "application/pdf" .

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