Data · dataset · 2025
A Dataset of Typical Pollutant Concentrations in Solid Environmental Matrices in China
Listed in ScienceDB
As critical solid environmental matrices for pollutant accumulation and transformation, soil and sediment contaminated with heavy metals and antibiotics pose long-term threats to ecological environments and human health.
Description
Currently, pollution investigations and research concerning heavy metals and antibiotics tend to focus on specific regions, selected pollutants, and particular environmental media. To comprehensively understand the distribution and concentration of heavy metals and antibiotics across various provinces and municipalities in China, this dataset was compiled through systematic literature retrieval, data collation, and quality control assessment, integrating data from 1445 relevant articles published between 2021 and 2024 to form a dataset of typical pollutant concentrations in solid environmental media in China..
The dataset comprises 11,107 records, including 9,655 entries for heavy metals (zinc, copper, lead, chromium, cadmium, nickel, arsenic, and mercury) and 1,452 entries for antibiotics (encompassing sulfonamides, tetracyclines, quinolones, macrolides, β-lactams, and other categories). The dataset meticulously documents the concentration levels of various pollutants across different regions and environmental media, providing essential scientific data support for environmental pollution monitoring, risk assessment, and remediation strategies.
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This dataset has broad applications in environmental science research, pollutant migration and transformation mechanism investigations, environmental risk assessment, and environmental policy formulation.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.23547 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Environmental biogeochemistry 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.23547 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:field:410501 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |