Dataset to monitor regionalised environmental impacts of the main agricultural products in Spain
Data in Brief, ISSN: 2352-3409, Vol: 46, Page: 108883
2023
- 2Citations
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New Data from Universitat Politecnica de Valencia Illuminate Research in Environmental Impact (Dataset to monitor regionalised environmental impacts of the main agricultural products in Spain)
2023 FEB 07 (NewsRx) -- By a News Reporter-Staff News Editor at Ecology Daily News -- New research on environmental impact is the subject of
Dataset Description
Estimating the average environmental impacts of a representative crop in a specific region is a helpful starting point from which to propose improvements in the agricultural sector. However, data collection from official representative sources is complex, and often they require subsequent treatment to be transformed into meaningful inventory data. This article shows a comprehensive dataset for obtaining inventory data and developing an environmental life cycle impact assessment of representative agricultural production corresponding to reference holdings at a regional level (NUTS 2) in Spain. The dataset comprises Excel files with the data compiled from secondary sources to be used in the assessment and the R code scripts to transform the data into relevant inventory data to estimate the environmental impacts of the reference holdings. This dataset is a reliable tool for researchers and other potential users to be used as a secondary information source for further studies. It can also be used to estimate the environmental impacts of the farming activity of agri-food products in other regions or countries by collecting similar data for the specific region and adjusting the R code.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S235234092300001X; http://dx.doi.org/10.1016/j.dib.2023.108883; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85146239658&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/36660443; https://linkinghub.elsevier.com/retrieve/pii/S235234092300001X; https://dx.doi.org/10.1016/j.dib.2023.108883
Elsevier BV
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