2364 7 archive 32963 disk0/00/00/23/64 2026-08-10 10:48:39 2026-08-12 20:05:59 2026-08-10 10:48:39 data_collection show Hafner Sebastian Zhao Qunshan 50844 0000-0002-5549-9457 Abascal Angela Comerio de Paulo Manuella Tregonning Grant Middleton Alexandra Shonowo Adenike Kuffer Monika Engstrom Ryan Thomson Dana R. Onyambu Francis C. Kabaria Caroline Elias Peter Odulana Oluwatoyin Alugbin Bunmi Baruwa Kehinde Zhu Mingyu 77841 0000-0002-8972-6945 Porto de Albuquerque João 64174 0000-0002-3160-3168 glaresearchdata:2025-12-09-2364 40514000 IDEAMAPS, urban deprivation, morphological informality, Abuja, Nigeria, participatory mapping. This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas. Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation. 2025-12-09 Zenodo 10.5281/zenodo.17866669 318689 IDEAMAPS Ecosystem: Co-creating an inclusive data ecosystem for multistakeholder digital exchanges in urban neighbourhood regeneration Joao Porto de Albuquerque Bill and Melinda Gates Foundation (GATES) Investment ID I S&PS - Urban Studies https://doi.org/10.5281/zenodo.17866669 FALSE English This is a metadata-only record. To access the data associated with this record, please follow the link provided to Zenodo. https://github.com/urbanbigdatacentre/ideamaps-models software FALSE FALSE https://eprints.gla.ac.uk/id/eprint/355477