Fauset, S.; Hagan Brown, W.; Addo-Danso, S.A.; Gloor, E.U.; Fyfe, R.; Ganderton, P.
Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023
https://doi.org/10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff
Cite this dataset as:
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
Download/Access
This dataset is available under the terms of the Open Government Licence
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
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.
Publication date: 2025-06-18
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Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Triangular irregular network
Spatial reference system
WGS 84
Spatial resolution
10 metres
Temporal information
Temporal extent
2022-11-01 to 2023-11-30
Temporal resolution
10 second
Provenance & quality
Data were recorded as .DAT files using a LabView program, initially stored on a PC at the site, then copied to a University of Plymouth server. Files were converted to .csv using Excel. Monthly files were collated into a single file using R.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
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
Related
This dataset is included in the following collections
Time series of temperature and phenology from tropical and temperate forest canopies, 2021-2023
Correspondence/contact details
Authors
Gloor, E.U.
University of Leeds
Fyfe, R.
University of Plymouth
Ganderton, P.
University of Plymouth
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Plymouth
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/V008366/1
