Skip to main content

Dataverse

Looking for the numbers behind our science? Browse through our datasets, or search by key terms.

Metrics
67,734 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

141 to 150 of 4,020 Results
MS Word - 241.5 KB - MD5: d8334a8209836e1a9b2c5364527071bf
Data file
Utility table1
Adobe PDF - 1.4 MB - MD5: b2c7755e432c8f0d6fb05e7e55c7dbd2
6. Project - Tools: Documentation
Aug 6, 2019
Kindt, Roeland; Van Breugel, Paulo; Orwa, Caleb; Lillesø, Jens-Peter B; Jamnadass, Ramni; Gradual, Lars, 2015, "Useful tree species for Eastern Africa: a species selection tool based on the VECEA map version 2.0.", https://doi.org/10.34725/DVN/H45WFN, World Agroforestry (ICRAF), V1
Data sets describing the dominant, characteristic, present and marginal tree species for potential natural vegetation types mapped by the VECEA project (http://www.vegetationmap4africa.org) in 8 countries in eastern and southern Africa (Burundi, Ethiopia, Kenya, Malawi, Rwanda, U...
Aug 6, 2019
Mannikko, Jani, 2016, "Upper-Trusha farmer livelihood study, Naivasha, Kenya", https://doi.org/10.34725/DVN/OQLEEI, World Agroforestry (ICRAF), V1
In the Lake Naivasha basin, Kenya, there is an example of long running Payment for Environmental Services (PES) project, which received some private sector funding sporadically during the past ten years. The project had both environmental and socio-economical aims: to lessen soil...
MS Excel Spreadsheet - 22.0 KB - MD5: 59c1fe22f196c93615d735e99c5afd42
Adobe PDF - 808.5 KB - MD5: 8c6879a40d2e6d98e66992e983f1402d
Documentation
Household Questionnaire
ZIP Archive - 166 B - MD5: 5fb980df88e64eb9254f18de87e1ef7a
Documentation
Adobe PDF - 454.4 KB - MD5: 8eccbcc92c892a2277e82091715fc937
Uganda Study Map
Adobe PDF - 791.9 KB - MD5: c5ab97e94a6a71ed4eda2844d0002c11
survey design
Survey design for the tree attribute ranking and phenology survey in Uganda 2011
MS Excel Spreadsheet - 290.0 KB - MD5: b1067b9f8abc578a90b38f0cf7462485
ranking data
ranking data of the Uganda coffee farm survey presented for each tree attribute
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact World Agroforestry (ICRAF) Support

World Agroforestry (ICRAF) Support

Please fill this out to prove you are not a robot.

+ =