@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/14ff289b-3e71-4a59-8cef-88147d55befe> a dcat:Dataset ;
    dct:description "Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.  Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters.  Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties.   A TCP socket interface allows the software to be used from experimental control software written in other programming languages. Code is developed in Python, and shared via GitHub's USNISTGOV organization." ;
    dct:identifier "ark:/88434/mds2-2230" ;
    dct:issued "2025-09-24T00:01:38.661750"^^xsd:dateTime ;
    dct:language "{en}" ;
    dct:modified "2020-04-01T00:00:00"^^xsd:dateTime ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:title "Optimal Bayesian Experimental Design Version 1.0.1" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Robert D. McMichael" ;
            vcard:hasEmail <mailto:robert.mcmichael@nist.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/aa575ffa-95dd-4e54-9370-fc5f39439d05>,
        <https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/ab6d5a42-fe53-4e08-8044-c798c514fdf6>,
        <https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/d1416d2c-11ca-4c73-83c8-22ad36e5bb92> ;
    dcat:keyword "AmeriGEO",
        "AmeriGEOSS",
        "CKAN",
        "GEO",
        "GEOSS",
        "National",
        "North America",
        "United States",
        "bayesian",
        "experimental-design",
        "github-pages-template",
        "measurement",
        "optbayesexpt",
        "python" ;
    dcat:theme <%7BPhysics:Magnetics%7D> .

<https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/aa575ffa-95dd-4e54-9370-fc5f39439d05> a dcat:Distribution ;
    dct:issued "2021-03-11T17:22:49.503472"^^xsd:dateTime ;
    dct:modified "2025-09-24T00:01:38.632640"^^xsd:dateTime ;
    dct:title "Documentation for Optimal Bayesian Experimental Design" ;
    dcat:accessURL <https://pages.nist.gov/optbayesexpt/> .

<https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/ab6d5a42-fe53-4e08-8044-c798c514fdf6> a dcat:Distribution ;
    dct:description "Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.  Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters.  Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties.   A TCP socket interface allows the software to be used from experimental control software written in other programming languages. Code is developed in Python, and shared via GitHub's USNISTGOV organization." ;
    dct:format "Python source code, documentation in Jupyter notebook, markdown and rst formats" ;
    dct:issued "2021-03-11T17:22:49.503482"^^xsd:dateTime ;
    dct:modified "2025-09-24T00:01:38.635492"^^xsd:dateTime ;
    dct:title "Optimal Bayesian Experimental Design v. 1.0.1" ;
    dcat:accessURL <https://github.com/usnistgov/optbayesexpt> ;
    dcat:mediaType "text/plain" .

<https://data.amerigeoss.org/dataset/14ff289b-3e71-4a59-8cef-88147d55befe/resource/d1416d2c-11ca-4c73-83c8-22ad36e5bb92> a dcat:Distribution ;
    dct:issued "2021-03-11T17:22:49.503479"^^xsd:dateTime ;
    dct:modified "2025-09-24T00:01:38.634081"^^xsd:dateTime ;
    dct:title "DOI Access for Optimal Bayesian Experimental Design Version 1.0.1" ;
    dcat:accessURL <https://doi.org/10.18434/M32230> .

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