Skip to main content

Help us improve the National Data Library - complete this short survey

Close survey banner

Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

The dataset provides meteorological data including air temperature, humidity, solar radiation, and wind speed collected above the canopy at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. Data is at high temporal resolution (10 second). This site is a moist semi-deciduous tropical forest type. The data were collected from a 60m tower adjacent to a plot which was lightly selectively logged over 60 years ago. The forest trees are of a variety of species including both deciduous and evergreen species. Data were collected in order to provide auxiliary data for other studies completed at the site. Full details about this dataset can be found at https://doi.org/10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff

Data links

Link Format Preview Updated
Supporting information ZIP 30/7/2026
Download the data 30/7/2026

Is this data/dataset useful? Give us feedback

Additional information

Source Metadata
XML, HTML
Date added
25 July 2026
Harvest GUID
e891ae90-1917-41b6-a63a-8fe4170253ff
Extent (Latitude)
6.74° to 6.64°
Extent (Longitude)
1.29° to 1.37°
Dataset reference date (publication)
2025-06-18
Dataset reference date (creation)
2024-04-22
Access constraints
If you reuse this data, you should cite: Fauset, S., Hagan Brown, W., Addo-Danso, S.A., Gloor, E.U., Fyfe, R., Ganderton, P. (2025). Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff
Responsible party
University of Plymouth (author, pointOfContact, owner); CSIR Forestry Research Institute of Ghana (author); University of Leeds (author); (publisher, custodian)
ISO 19139 resource type
dataset
Metadata language
eng