Surveys dataset of Local Indicators of Climate Change Impacts in Juruá River, Brazil

DOI

Quantitative dataset of the Site 'Juruá River' collected by André B. Junqueira in Brazil. 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/data1530
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1530
Provenance
Creator André B. Junqueira ORCID logo; Reyes-García, Victoria ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Reyes-García, Victoria; André B. Junqueira
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/data1530
OpenAccess true
Contact Reyes-García, Victoria (Universitat Autònoma de Barcelona); André B. Junqueira (Autonomous University of Barcelona)
Representation
Resource Type Survey data; Dataset
Format text/tab-separated-values; text/plain
Size 67599; 12240; 18413; 124146; 12143; 11412; 14406; 431979; 51772; 46911; 27301; 18118; 32285; 25137; 19668; 25026
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 (-67.364W, -5.423S, -67.364E, -5.423N)