Flood impact matrices to assess flood resilience in Katakwi communities, Uganda, 2020
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-04-01
- Dataset Reference Date ()
- 2020-12-01
- Identifier
- doi: / 10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf
- Other citation details
- Plumpton, H., Butsatsa, J. (2021). Flood impact matrices to assess flood resilience in Katakwi communities, Uganda, 2020. NERC Environmental Information Data Centre 10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf
- Keywords
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- Uganda
- Flooding
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Plumpton, H., Butsatsa, J. (2021). Flood impact matrices to assess flood resilience in Katakwi communities, Uganda, 2020. NERC Environmental Information Data Centre https://doi.org/10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf
- Spatial representation type
- textTable
- Topic category
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- Farming
- Begin date
- 2020-12-01
- End date
- 2020-12-31
Distribution Information
- Data format
-
-
Comma-separated values (CSV)
()
-
Comma-separated values (CSV)
()
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- This data was collected as part of an evaluation data set. The Flood Matrices were completed by 21 community members of the Katakwi District. The following selection criteria was used: - 8 farmers who have participated with in the listening groups, FAMVACs or IHM/HEA baseline assessment (4 males, 4 females) - 8 farmer who have not participated in the above activities (4 males, 4 females). - 5 Local District officers who have participated in the NIMFRU project activities and will be an equal number of male and female respondents. The data is in survey format (CSV) which has been designed especially for this data collection.
Metadata
- File identifier
- 463b2bcc-731a-42af-ba69-1662aa21f1bf XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-18T12:21:13
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3