@prefix this: <https://w3id.org/sciencelive/np/RAzxasLjpd21-0cbBRwlKEbmprb2guev7X3pOhvrPE3yo> .
@prefix sub: <https://w3id.org/sciencelive/np/RAzxasLjpd21-0cbBRwlKEbmprb2guev7X3pOhvrPE3yo/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dc: <http://purl.org/dc/terms/> .
@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 {
  sub:bmz-eo-water-study a <https://w3id.org/sciencelive/o/terms/FORRT-Replication-Study>,
      <https://w3id.org/sciencelive/o/terms/Replication-Study>;
    <http://www.w3.org/2000/01/rdf-schema#label> "Cross-discipline application of a BioImage.IO nucleus model to EO water segmentation via Galaxy";
    <http://www.w3.org/2004/02/skos/core#related> <http://www.wikidata.org/entity/Q1367339>,
      <http://www.wikidata.org/entity/Q197536>, <http://www.wikidata.org/entity/Q56933>;
    <https://w3id.org/sciencelive/o/terms/hasDeviationDescription> "Relative to the original Galaxy microscopy tutorial, only the input domain changed: DAPI fluorescence images of nuclei were replaced by inverted near-infrared Landsat composites of pond landscapes. The model weights, input axes and size, inference tool version, and the full post-processing chain (split → foreground−boundaries → threshold 0.6 → label map → overlay) are unchanged. No retraining, fine-tuning, or architecture change was performed.";
    <https://w3id.org/sciencelive/o/terms/hasDiscipline> <http://www.wikidata.org/entity/Q199687>;
    <https://w3id.org/sciencelive/o/terms/hasMethodologyDescription> "Annual peak-summer (July–August) Landsat Collection-2 Level-2 surface-reflectance composites were built over the Alaska Arctic Coastal Plain from the Microsoft Planetary Computer, fill-masked and median-composited, then resampled to a 256×256 single-channel image with the near-infrared band inverted so that water reads as bright objects on a dark background. Each image was run through the unchanged Galaxy \"Process image using a BioImage.IO model\" workflow (main_workflow.ga; NucleiSegmentationBoundaryModel; input axes bcyx, size 256,256,1,1) on usegalaxy.eu via BioBlend: model inference, split into foreground and boundary channels, compute foreground minus boundaries, threshold at 0.6, convert to a connected-component label map, and overlay. Total water area was taken as thresholded pixels times per-pixel ground area; body count as the number of labels. NDWI was computed from the green and near-infrared bands as the comparator. A byte-identical local TorchScript path (torch.load of the same model, identical post-processing) reproduces the Galaxy result for credential-free CI.";
    <https://w3id.org/sciencelive/o/terms/hasScopeDescription> "Whether the segmentation behaviour of the BioImage.IO nucleus-boundary workflow — delineating discrete bright \"blob\" objects and yielding their total area and count — holds when the input is optical satellite imagery of open-water bodies rather than fluorescence microscopy of cell nuclei, benchmarked against the NDWI water index. In scope: open-water delineation (total area and body count) on cloud-screened peak-summer Landsat composites of an Arctic thermokarst-pond landscape. Out of scope: instance-level ecological accuracy, sub-pixel or turbid water, temporal/climate trends, and any retraining or fine-tuning of the model.";
    <https://w3id.org/sciencelive/o/terms/targetsClaim> <https://w3id.org/sciencelive/np/RAKk1teclzemmIuU0wUR4hNXE0ZyuCKOQbRhQRVRXMTJA/bmz-eo-water-transfer> .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://orcid.org/0000-0002-1784-2920> .
}

sub:pubinfo {
  <https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
  
  this: dc:created "2026-06-21T09:25:39.073Z"^^xsd:dateTime;
    dc:creator <https://orcid.org/0000-0002-1784-2920>;
    dc:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:introduces sub:bmz-eo-water-study;
    npx:wasCreatedAt <https://platform.sciencelive4all.org>;
    <http://www.w3.org/2000/01/rdf-schema#label> "Cross-discipline application of a BioImage.IO nucleus model to EO water segmentation via Galaxy";
    <https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate> <https://w3id.org/np/RAuLEjPp-4dTvPwMkfHggTto1CgjIftiGRAgHlyeEonjQ> .
  
  sub:sig npx:hasAlgorithm "RSA";
    npx:hasPublicKey "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";
    npx:hasSignature "T3FM6X14VtzDOSyMd7MLL116Tb3qVy7vf6vcS049xeHjEKDQmrxjxAdbFoyzvO98HggZx7WV+Vbwvnjy9r4l30kfax9G72nRy5aTbzzBvlOz79a9/hKyaV0w0uncjuotiMQieAsJanNu4Ny1LQcDUznOhk+hnC8C84rS/FSSC8TuzNhOCUA3y1A5Q+yJeYN2oeazgV2cINBNhjwHSjTBnTe+UExpXf5OHAeupR9gppfleXRoTj6YQHim3IcrZS1sGsnaYwFKwbjHt7E2Tm3z5Q2MbR6oPaSp69SLD/YqZjqnvY1m/kPHM6fsRJ7AANruw33p8c6pGu3m/X7HVxPifWwKUjkmPyhUpqkHFPqsoIf2yYJlkJOOmtCxsZg3vnsnuTnncen6CjUG0mdO2bLcSbM0FiIxPPiyweLH5PEsJbtidu6CCC60rXW9BjXU3mXjnuSB6SMtf67h3nFEiE+IG06HztQ2yebiUbDOsEltiw1pvujbk0Th338bo0ckA+hDC9ruas0QBHMgxD6/Gqur3nekickNR360/XN+hWmxUvRI5D8hxXddZwfPafEKL+3GYrjO4DnkqIdX6BFH7XgNMVKzNtp7fr+HUN934HJEjFTegAMIF7KSvFbEhbkY/fK7XuW8T25IyDxzzEKLcBfEuA5JE23fhM5UJQSHGPU8oxU=";
    npx:hasSignatureTarget this:;
    npx:signedBy <https://orcid.org/0000-0002-1784-2920> .
}