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:e891ae90-1917-41b6-a63a-8fe4170253ff
dcterms:title "Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/e891ae90-1917-41b6-a63a-8fe4170253ff> ;
adms:identifier <https://doi.org/10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff> ;
dcterms:bibliographicCitation "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" ;
dcterms:description "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." ;
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rdfs:label "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."
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