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Data · dataset · 2026

Adversarial validation for quantifying dissimilarity in geospatial machine learning prediction

Listed in DANS Data Station Physical and Technical Sciences

This data includes all datasets and codes for adversarial validation in geospatial machine learning prediction and corresponding experiments.

Description

Except for datasets (Brazil Amazon basion AGB dataset and synthetic species abundance dataset) and code, Reademe.txt explains each file's meaning.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/PT/OPPCTP11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
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