DATASET: Alpha version 2014 estimates of number of people in each 5-year age group per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/). REGION: Africa SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated number of people in each 5-year age group per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. 5-YEAR AGE PROPORTIONS: Tatem, Andrew J., Garcia, Andres J., Snow, Robert W., Noor, Abdisalan M., Gaughan, Andrea E.,Gilbert, Marius and Linard, Catherine, 2013, Millennium development health metrics: where do Africa's children and women of childbearing age live? Population Health Metrics, 11, (1), 11. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - BEN14_A0005_adjv1 = Benin (BEN) population count between 0 and 5 years old map (A0005) for 2014 (14) adjusted to match UN national estimates (adj), version 1 (v1). DATE OF PRODUCTION: August 2014

This qualitative dataset includes transcripts from interviews with key informants (KII) and focus group discussions (FGDs). Key informants were purposively selected based on their roles as community representatives (such as chiefs or traditional authorities) or professionals involved in flood-related institutions (e.g., health sector, local government, or disaster relief organizations). This provided a broad range of perspectives. FGDs were conducted with residents of eight flood-affected communities, aged 18 and older, who had lived in the area for at least ten years and had direct experience with floods. The study aims to understand the impacts of dam release flooding as reported by downstream communities, assess how flooding affects their lived experiences and life course, and identify adaptive behaviors and gender-related issues in response to flooding. It also explores community responses to flood sensitization efforts and the broader effects of flooding. While the study used a sequential exploratory mixed-methods approach, this dataset reports only on the qualitative data collected through a hermeneutic phenomenological approach, including Key Informant Interviews (KIIs) and FGDs. The qualitative sample included 43 participants: 33 FGDs (17 male, 16 female) and 10 KIIs (8 male, 2 female). Discussions covered topics such as the impact of flooding on livelihoods, life course transitions, social and health issues, economic effects, short- and long-term impacts, and gender adaptation roles.

DATASET: Alpha version 2010 estimates of numbers of live births per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/). REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated births per grid square MAPPING APPROACH: Land cover based with DHS-derived subnational age-specific fertility rates applied, as described on the website (general mapping approach described in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882) FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - cod10bth-adj.tif = Democratic Republic of Congo (COD) births count map for 2010 adjusted to match UN national estimates on numbers of live births. DATE OF PRODUCTION: July 2013

This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021. We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data. Full details about this dataset can be found at https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003