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ID

https://w3id.org/sciencelive/np/RA14alVTCmeAYlkHEySIsfkCVU0YBfVcmoR-cKePBDob4

Formats

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Content

@prefix cito: <http://purl.org/spar/cito/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix hycl: <http://purl.org/petapico/o/hycl#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sub: <https://w3id.org/sciencelive/np/RA14alVTCmeAYlkHEySIsfkCVU0YBfVcmoR-cKePBDob4/> .
@prefix this: <https://w3id.org/sciencelive/np/RA14alVTCmeAYlkHEySIsfkCVU0YBfVcmoR-cKePBDob4> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <http://purl.org/aida/The%20applicability%20of%20NIRS%20models%20to%20new%20lakes%20can%20be%20achieved%20with%20only%20linear%20bias%20adjustments%20for%20LOI%20predictions.>
    a hycl:AIDA-Sentence;
    cito:obtainsSupportFrom <https://doi.org/10.1007/s10933-020-00121-5>, <https://doi.org/10.18710/OJC4TH> .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://w3id.org/np/RALe_3U-0OKr-rc5FzaSc7xw1nPuGq1LkWoncmx6DXAV4/ai-mistral-ji> .
}

sub:pubinfo {
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    foaf:name "ai-mistral-ji" .
  
  this: dcterms:created "2026-03-13T14:09:41.000Z"^^xsd:dateTime;
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    dcterms:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:hasNanopubType hycl:AIDA-Sentence, <http://purl.org/petapico/o/hycl>;
    npx:introduces <http://purl.org/aida/The%20applicability%20of%20NIRS%20models%20to%20new%20lakes%20can%20be%20achieved%20with%20only%20linear%20bias%20adjustments%20for%20LOI%20predictions.>;
    npx:wasCreatedAt <https://platform.sciencelive4all.org>;
    rdfs:label "AIDA sentence: The applicability of NIRS models to new lakes can be achieved with only linear bias adjustments for LOI predictions.";
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