Bird observations across Nigeria, covering pentad/grid locations and dates, designed for mapping and spatio-temporal analysis. The current GBIF record was published/updated on 2 June 2026.

A biological occurrence/checklist resource covering phytoplankton and plants in the southwestern Nigerian coastal environment. GBIF lists University of Lagos as publisher and CC BY 4.0 as the licence.

A checklist dataset focused specifically on endemic vertebrates associated with Nigeria’s coastal environment. The GBIF record confirms CC BY 4.0.

An official geospatial dataset from Nigeria’s National Oil Spill Detection and Response Agency (NOSDRA) containing mapped oil-spill records from 1994 through March 2019. The dataset is published through an ArcGIS Feature Service and can be queried and converted into other formats. It is useful for oil-spill mapping, environmental monitoring, petroleum-sector analysis, pollution studies, spatial risk assessment and environmental impact analysis. Publisher: National Oil Spill Detection and Response Agency (NOSDRA), Nigeria.

A historical ecological and remote-sensing research dataset from the Olokemeji grassland site in Nigeria covering 1956–1964. The dataset contains ASCII time-series files with measurements of above-ground biomass, dead matter and net primary productivity, providing a rare long-term ecological record for Nigerian grassland research. Publisher: NASA.

A historical GIS dataset representing Nigeria’s administrative regions and provinces in 1939. The boundaries were extracted from a scanned British Colonial Office map and provided as polygon Shapefile and GeoJSON data in EPSG:4326. The dataset supports historical GIS, territorial evolution, boundary-change analysis, cartographic research and comparison of historical and contemporary administrative geography. Creator/Provider: Map and Geospatial Information Center, Lewis Library, Princeton University.

A multi-source Earth Observation and participatory-mapping dataset for assessing flooding, crop damage and crop recovery during the 2020 and 2022 flood events in Hadejia, Nigeria. The package contains flood-extent and progression layers derived from Sentinel-1 and PlanetScope imagery using machine learning, flood-frequency layers, flooded-cropland layers, land-cover layers, crop-recovery layers, permanent-water data, training and validation samples, survey data and QGIS layer styles. The downloadable ZIP is approximately 142.8 MB. Creators: Lukumon Olaitan Lateef, Hugo Costa and Pedro Cabral and collaborators

A geospatial classification of Nigeria’s degree of urbanisation for 2025, produced using WorldPop Global2 population data and the GHSL GHS-DUG tool. The release includes 1 km GeoTIFF classification grids, spatial entities and population statistics representing different settlement and urbanisation classes across Nigeria. Publisher: WorldPop, University of Southampton, as part of the DEGURBA project