GESMA: A dataset of Ghanaian environmental soundscapes for machine learning applications.
- DOI
- 10.1016/j.dib.2026.112732
- Published
- 2026 Jun
- Container
- Data in brief
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.112732,
title = {GESMA: A dataset of Ghanaian environmental soundscapes for machine learning applications.},
author = {Mensah Gyening RO and Arthur J and Tetteh PD and Amofah FAM and Ackah K and Acheampong E and Kponyo BA and Agyemang JO and Ahene E and Kasore V and Kponyo JJ},
year = {2026},
journal = {Data in brief},
doi = {10.1016/j.dib.2026.112732},
url = {https://doi.org/10.1016/j.dib.2026.112732}
}RIS
TY - JOUR TI - GESMA: A dataset of Ghanaian environmental soundscapes for machine learning applications. AU - Mensah Gyening RO AU - Arthur J AU - Tetteh PD AU - Amofah FAM AU - Ackah K AU - Acheampong E AU - Kponyo BA AU - Agyemang JO AU - Ahene E AU - Kasore V AU - Kponyo JJ PY - 2026 JO - Data in brief DO - 10.1016/j.dib.2026.112732 UR - https://doi.org/10.1016/j.dib.2026.112732 ER -
APA
RO, M. G., J, A., PD, T., FAM, A., K, A., E, A., BA, K., JO, A., E, A., V, K., & JJ, K. (2026). GESMA: A dataset of Ghanaian environmental soundscapes for machine learning applications.. Data in brief. https://doi.org/10.1016/j.dib.2026.112732
Source records
- pubmed · retrieved 2026-09-26T07:35:23.915Z