A placeholder layer to get the legend in the GBIF dataset

The availability and quantity of observational species occurrence records have greatly increased due to technological advancements and the rise of online portals, such as the Global Biodiversity Information Facility (GBIF), coalescing occurrence records from multiple datasets. Funded by the world's governments, this international network and data infrastructure is aimed at providing anyone, anywhere, open access to data about all types of life on Earth. This map displays all the observations reported to the GBIF from 1600 to present. This knowledge derives from many sources, including everything from museum specimens collected in the 18th and 19th century to geotagged smartphone photos shared by amateur naturalists in recent days and weeks. Individual records are available at https://www.gbif.org

This dataset comprises a collection of shapefiles detailing the geographical locations and attributes of various wells across Africa, with a strong focus on geothermal exploration and assessment. Together, these layers offer a valuable resource for geothermal energy planning, subsurface geological analysis, and infrastructure mapping. The collection includes the following spatial data layers:

• Wells: Maps the locations of various existing well types and provides critical geothermal metrics where available, including well names, temperature correction states, thermal gradients, heat flow, and heat production data.
• BGS Well: A compiled spatial layer derived from scientific literature that categorizes well locations and types.
• Planned wells: Highlights the prospective locations of future geothermal wells across the continent.

These layers are part of the Geothermal Atlas for Africa developed within the LEAP-RE project"

Development test dataset: random 0-100 values on the 0.35° Nature Africa grid clipped to the DRC. Not real data.