This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or "HMF-WA" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project. Full details about this dataset can be found at https://doi.org/10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4

The BACI Surface State Vector (SSV) dataset for West Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.

[This dataset is embargoed until April 30, 2026]. 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

[This dataset is embargoed until April 30, 2026]. The dataset provides image data from a visible light camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The images are predominately made up of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot, which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. Full details about this dataset can be found at https://doi.org/10.5285/f4d2b769-8df8-4fd0-bf75-673926a6977b

[This dataset is embargoed until April 30, 2026]. The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. Full details about this dataset can be found at https://doi.org/10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960

The dataset provides visible light images from a camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The data are visible light images, predominately of tree canopies (leaves, branches, stems). This site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. Data were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. Full details about this dataset can be found at https://doi.org/10.5285/4b251915-10af-4bf1-8ad6-be1c65542247

This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra Leone, where cocoa, a driver of deforestation, is the main cash crop. Each trap was set out for five days with >99% ethanol. The samples were transported from Sierra Leone to the UK, where they have been sent for metabarcoding for arthropods (using Leray2 PCR primers). The work was supported by the Natural Environment Research Council (Grant NE/S014063/1). Full details about this dataset can be found at https://doi.org/10.5285/161315e4-71c1-481d-906c-149ab2e9705c

Data comprise measured heights of five species of trees after 2.5 years growth between June 2007 and November 2009 in plots reclaimed using a variety of planting techniques and surface applications following mining for rutile in Lanti South, Sierra Leone, West Africa. Eight 25 by 25 metres plots were divided into four squares and four rectangles and planted in June 2007. The five tree species included Gmelina (Gmelina arborea), mango (Mangifera indica), cashew (Anacardium occidentale), citrus (Citrus sinensis) and monkey apple (Anisophyllea laurina). Five rows of trees were planted at a spacing of 5 meters in each direction to minimize above and below ground competition. Four planting treatments were tested: 1 bucket of compost per planting hole, 1 bucket of topsoil, 1 bucket of a 50:50 mix of compost and topsoil and a control. Surface treatments included 2 cm of compost, 5 cm of mulch, 2 cm of top-soil and a control. Full details about this dataset can be found at https://doi.org/10.5285/d4c6029a-464c-49d0-bcc7-75757cab2b3a