Surveys dataset of Local Indicators of Climate Change Impacts in Shangri-la county, China

DOI

Quantitative dataset of the Site 'Shangri-la county' collected by Zhuo Chen in China. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu

LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)

Identifier
DOI https://doi.org/10.34810/data1619
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1619
Provenance
Creator Zhuo Chen ORCID logo; Reyes-García, Victoria ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Reyes-García, Victoria; Zhuo Chen
Publication Year 2024
Funding Reference European Research Council (ERC) 771056
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34810/data1619
OpenAccess true
Contact Reyes-García, Victoria (Universitat Autònoma de Barcelona); Zhuo Chen (Helsingfors Universitet)
Representation
Resource Type Survey data; Dataset
Format text/tab-separated-values; text/csv; text/plain
Size 70486; 10309; 17923; 90796; 11606; 11531; 13358; 320367; 59302; 55495; 30071; 20994; 37202; 28249; 53100; 24981
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage (100.930W, 26.886S, 100.930E, 26.886N)