Surveys dataset of Local Indicators of Climate Change Impacts in Kumbungu, Ghana

Dataset

DOI

Quantitative dataset of the Site 'Kumbungu' collected by Emmanuel Nyadzi in Ghana. 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/data1563
Metadata Access	https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1563

Provenance
Creator	Emmanuel M.N.A.N. Attoh (ORCID: 0000-0001-6527-852X); Reyes-García, Victoria
Publisher	CORA.Repositori de Dades de Recerca
Contributor	Reyes-García, Victoria; Emmanuel M.N.A.N. Attoh
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/data1563
OpenAccess	true
Contact	Reyes-García, Victoria (Universitat Autònoma de Barcelona); Emmanuel M.N.A.N. Attoh (International Water Management Institute)

Representation
Resource Type	Survey data; Dataset
Format	text/tab-separated-values; text/plain
Size	65613; 10394; 45482; 31572; 11642; 9151; 9142; 392175; 60220; 57298; 30076; 17245; 37139; 28408; 64081; 25008
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	(-1.031W, 9.567S, -1.031E, 9.567N)