Soil quality data of typical industrial parks in Huangshui basin, Qinghai Province (2020)

Soil quality data of typical industrial parks in Huangshui basin, Qinghai Province (2020)


1) Soil environmental quality data of typical industrial parks in Huangshui basin of Qinghai Province provide basic support for soil pollution control caused by regional industrial activities;

2) The data source is the soil samples of typical areas in Huangshui River Basin. After collection, the samples are quickly stored in the refrigerator at - 4 ℃ and sent to the laboratory as soon as possible. After pretreatment, the relevant parameters are tested;

3) The process of sample collection and transportation meets the specifications, and the experimental detection process strictly follows the relevant standards. Due to the changes of various factors of soil environment, the results are only aimed at the investigation results;

4) The data can be used to analyze regional soil pollution and heavy metal risk assessment;


File naming and required software

File name: the data is stored in xlxs file format. The file name is "2020soil. Xlsx". 2020 represents the sampling year and soil represents the soil sample
Data reading method: the data is in Excel format, and relevant data can be obtained directly


Data Citations Data citation guideline What's data citation?
Cite as:

Wang, L. (2022). Soil quality data of typical industrial parks in Huangshui basin, Qinghai Province (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272425. CSTR: 18406.11.Terre.tpdc.272425. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 103.10 West: 89.60
South: 31.15 North: 39.30
Details
  • Temporal resolution: Yearly
  • Spatial resolution: <= 0.01º
  • File size: 0.3 MB
  • Views: 3300
  • Downloads: 194
  • Access: Open Access
  • Temporal coverage: 2020-06-13 To 2022-07-06
  • Updated time: 2022-07-08
Contacts
: WANG Lingqing   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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