This data were created as part of the NIMFRU project and consists of 21 flood matrices. These have been completed by community members from the project target communities of Anyangabella, Agule and Kaikamosing which are all found in the Katakwi district. Five of the matrices were completed by local district officers. The data were collected in December 2020. These data were collected to understand how communities resilience had changed as a result of the NIMFRU project. Full details about this dataset can be found at https://doi.org/10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf

This dataset contains responses to a set of evaluation questions on flood resilience improvement within communities in the Katakwi District, Uganda. This data were created as part of the NIMFRU project (National-Scale Impact Based Forecasting of Flood Risk in Uganda) and consists of 21 semi-structured interviews. These have been completed by community members from the project target communities of Anyangabella, Agule and Kaikamosing which are all found in the Katakwi district. Five of the interviews were completed by local district officers. The data were collected in December 2020. These data were collected to understand how communities resilience had changed as a result of the NIMFRU project. Full details about this dataset can be found at https://doi.org/10.5285/d5043ca4-5451-42f1-ae38-69e084bfad80

This dataset is a product of the raw HEA (household economy approach) data that were collected in sixteen communities in the Katakwi district, and the raw IHM (individual household method) data that was collected with 42 households in the community of Anyangabella, and 51 households in the community of Kaikamosing. These data were collected in December 2020 and shows the crop calendars of the Katakwi district. These data consist of quantitative information relating to crop and fishing production timelines throughout a typical agricultural year. The data were collected to support the analysis of vulnerability levels of different to further support livelihood impact modelling, and the development of targeted policies to support resilience at household and community level. The data collection team comprised of local, Ugandan partners. All data were collected in the local language and translated into English. Full details about this dataset can be found at https://doi.org/10.5285/d91bd655-ad51-42c1-a8d0-91923246244b

This dataset is a product of the raw HEA (Household Economy Approach) data that were collected in sixteen communities in the Katakwi district, and the raw IHM (Individual Household Method) data that was collected with 42 households in the community of Anyangabella, and 51 households in the community of Kaikamosing. These data were collected in 2018, and consist of multiple aspects of household and individual income sources and expenditure in the Katakwi District. The data were collected to support the analysis of vulnerability levels to further support livelihood impact modelling, and the development of targeted policies to support resilience at household and community level. The data collection team comprised of local, Ugandan partners. All data were collected in the local language and translated into English. Full details about this dataset can be found at https://doi.org/10.5285/e736e22c-f409-49ee-930d-a415ade89e79

The dataset includes life history, biometric and weather data collected for banded mongooses at Queen Elizabeth National Park, Uganda, in the period 2017-2020. The data includes a list of experimental individuals, in addition to more general information collected in the field regarding the mongooses life history, body mass measured daily in the field, biometric data collected during trapping events and weather data. Full details about this dataset can be found at https://doi.org/10.5285/ac7ead61-e90b-4295-baad-9ed146f2993e

This is a dataset on defensive behaviour in response to simulated intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2016-2017. We experimentally simulated conflict between rival social groups of banded mongooses and recorded data on behavioural responses including interaction with the stimulus, defensive behaviours such as standing upright, scent marking, and attacking, and the cohesion of behavioural responses within the group. These data were collected to examine collective defence behaviour in the face of intergroup conflict. Full details about this dataset can be found at https://doi.org/10.5285/22033a6c-72bf-4e4d-949c-481d4a2606ab

This is a dataset on mortality costs and reproductive success from intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019. We observed naturally occurring, aggressive interactions between social groups and recorded data on individual mortality occurring during and as a result of fighting. We used long term observations of reproductive events to determine individual reproductive success, measured as the total number of offspring assigned to each individual over the lifetime, and the number of offspring born to each individual from extra-group mating. We recorded data on oestrus events in social groups to determine when focal and rival groups were in oestrus simultaneously, and whether they were involved in an intergroup interaction with each other. These data were collected to examine the fitness costs and benefits of intergroup conflict. Full details about this dataset can be found at https://doi.org/10.5285/a1f3d7e5-934f-4b12-ba7c-c372ce9df2c6

A high density weather observation data set from the Kampala area in Uganda has been produced through the collaboration of the projects: Integrating Hydro-Climate Science into Policy Decisions for Climate-Resilient Infrastructure and Livelihoods in East Africa (HyCRISTAL); and Networks of Hydrometeorological Stations. The network is one of a series of hydromet networks in urban centres in sub-Saharan Africa that were installed under the UK Natural Environment Research Council (NERC) programme, Future Climate for Africa (FCFA). This data set consists of fifteen minute data from two automatic weather stations (AWS) and three rain gauges located within a 20 km2 area of Kampala, Uganda, measured over the period 17 Nov 2017 to 30 Jun 2019. The parameters measured at the Automatic Weather Stations (AWSs) are: barometric pressure (hPa); global radiation (W/m2); precipitation (mm); relative humidity (%RH); temperature (°C); wind direction (°); wind speed (km/h); maximum wind speed (km/h). The purpose of the network is to provide data to aid the modelling of flooding in Kampala and also to provide additional baseline meteorological monitoring in Kampala. The datasets are complete for the full period of monitoring apart from the following: - Lugoba Reservoir, 19:30 2 May 2018 to 07:45 3 May 2018 - Freka Enterprises, Tula Road, 19:15 2 May 2018 to 08:15 3 May 2018 The contract for the installation of the Kampala stations was carried out by OTT Hydromet. They were installed with the assistance of the Uganda National Meteorological Authority, the Ugandan Ministry of Water and Environment and the Ugandan National Water and Sewerage Company.