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Data · dataset · 2023

Soil contamination type identification dataset

Listed in Teesside University Research Data Repository

Soil contamination can be harmful to the ecosystem and humans.

Description

Rapid identification of soil contamination types is vital for targeted soil remediation, prevention, and sustainable development of agriculture. This dataset contains raw LIBS spectral data for four types of contaminated soils (heavy metal- contaminated soils, oil-contaminated soils, fertilizer-contaminated soils, clean soils).

These soil samples are from eight regional soils from seven major geographical regions in China (Northeast China, North China, East China, Central China, South China, Northwest China, Southwest China, ) respectively.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/j4hg6w4m6t.119 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[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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