@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .

<https://meta.icos-cp.eu/collections/wt_rnFgETAzTmrgO64EZ2T17> a <http://meta.icos-cp.eu/ontologies/cpmeta/Collection>;
  <http://meta.icos-cp.eu/ontologies/cpmeta/hasDoi> "10.18160/5NZG-JMJE";
  <http://purl.org/dc/terms/description> "This compilation comprises four datasets showcasing gross primary productivity dynamics for the 2015 within the FLUXCOM-X framework. Derived from machine learning models trained on in-situ eddy covariance data, these datasets offer comprehensive insights into global evapotranspiration patterns. The X-BASE experiment, fundamental to FLUXCOM-X, incorporates core meteorological data, plant functional type classification, MODIS-based vegetation indices, and land surface temperature as predictors. Employing the XGBoost algorithm, these datasets provide estimations of gross primary productivity, utilizing the Nighttime Partitioning method for Gross Primary Productivity (GPP) estimates.";
  <http://purl.org/dc/terms/title> "FLUXCOM-X-BASE gross primary productivity for 2015";
  <http://purl.org/dc/terms/creator> <http://meta.icos-cp.eu/resources/organizations/CP>;
  <http://purl.org/dc/terms/hasPart> <https://meta.icos-cp.eu/objects/AmvQIRTIOMyfKZMF-yRetath>,
    <https://meta.icos-cp.eu/objects/cunjKxhgVHvntUhfD3ozyYBs>, <https://meta.icos-cp.eu/objects/DD-HgOiEYrbLIvLVEW43xLee>,
    <https://meta.icos-cp.eu/objects/sU4JhYIu8NxMw-e7e44XVQPq> .

<https://meta.icos-cp.eu/collections/AYj7-lwcdCLnBXJDoscxQZou> <http://purl.org/dc/terms/hasPart>
    <https://meta.icos-cp.eu/collections/wt_rnFgETAzTmrgO64EZ2T17> .
