FAO SWALIM: Somalia Water and Land Information ManagementLibrary Catalog | FAO SWALIM: Somalia Water and Land Information Management

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Mandera GIS Report and Maps

This CD contains the Mandera Water Sources Mapping Final Report and Maps. The Report is in PDF format which requires that you have Acrobat Reader installed to be able to view or print it. If not, you can install Acrobat Reader from the Acrobat Folder included in the CD. The maps are in JPEG Graphics file format which is compatible with a wide variety of softwares for viewing and printing purposes.

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Somalia Water and Land Information Management, Nairobi (Kenya)

Greater Horn of Africa Food Security; July 15,2001

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Famine Early Warning Systems Network;, Livestock Early Warning Systems;, Regional Center for Mapping of Resources for Development;, U.S Geological Survey

European commission strategy for the implementation of special aid to Somalia: 2002-2007

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European Commission

Somalia: Country Brief

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Food and Agriculture Organization of the United Nations, Rome (Italy)

Greater Horn of Africa Bulletin; October 31 2002- Issue no. 6

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Famine Early Warning Systems Network;, Livestock Early Warning Systems;, Regional Center for Mapping of Resources for Development;, U.S Geological Survey

Citizens' guide to the World Commision on Dams

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Imhof, A., Bosshard, P., Wong, S.

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International Rivers Network

Country strategy on intergated water resources management

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Republic of Kenya

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Republic of Kenya, Ministry of Environment and Natural Resources

Somaliland National water policy

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Ministry of Water and Mineral Resources (Republic of Somaliland)

Research data management

This document describes the Research Data Management training course organized by the World Agroforestry Centre. Data management is a key area in any research and if not done well can limit the usefulness of the data. The main aim of this training is to encourage research scientists to allocate necessary resources to data management. These resources include both time and skilled personnel. The course also aims to give participants the necessary skills to handle their data in a systematic and organized way and to preserve their data for future use. brImplementing the ideas introduced in the course should lead to: br 1. Improved processing efficiency.br 2. Improved data quality.br 3. Improved meaningfulness of the data.br

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