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Data · dataset · 2026

Supplementary data for prediction of spatiotemporal variation and driving factors of soil salinization in a semi-arid region

Listed in Teesside University Research Data Repository

The dataset contains the data files used to simulate the spatiotemporal distribution of soil salinity in western Jilin Province, China, including the locations of the data points, soil salinity (EC), remote sensing and all the environmental variables for models.

Description

It also provides the code files for the ML methods, SHAP analysis, causal inference, and salinity-risk mapping implemented in this study.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/hh9yrgfzb4.812 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title