A dataset of historical sediment Carbon and Nitrogen isotope measurements from lake cores (n=95) spanning the range of lake types and catchments found across the UK. These data have been obtained from the Environmental Change Research Centre (ECRC) lake sediment core archive with well-resolved time intervals (1850, 1900, 1980 and present) determined by radiometric dating (210Pb; 137Cs). This data has been collated to investigate historical sources and accumulation of C and N in lakes. This dataset provides historical data for hydrological / nutrient modelling from the Long Term Large Scale (LTLS) Project in the NERC Macronutrients programme. Full details about this dataset can be found at https://doi.org/10.5285/4b53b1d7-f290-4b47-97e9-9f9ec79f3003

Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220/1. Full details about this dataset can be found at https://doi.org/10.5285/efa10c00-d43a-4c94-b2f9-0708755e7d80

[THIS DATASET HAS BEEN WITHDRAWN]. Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project Full details about this dataset can be found at https://doi.org/10.5285/5e9fe20b-8d00-4bd3-99cb-7989fa781348