This dataset contains calculated terrestrial fluxes of methane and nitrous oxide using static chambers from the Sodankylä region of Northern Finland across both forest and wetland ecosystems. Measurements were carried out during growing season 2012 in two measurement campaigns (Summer: 12th July - 2nd August; Autumn: 22nd September - 14th October) using 60 static chambers (21 within the forest and 39 within the wetland). Fluxes were measured on approximately 2 day intervals resulting in a total of 10 measurements for all chambers during the summer campaign, and 7 for the forest and 8 for the wetland chambers during the autumn campaign. In addition to fluxes, auxiliary measurements include soil temperature, water table depth (wetland only), soil moisture (forest only) and soil respiration. The data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1) involving partners from CEH and the Finnish Meteorological Institute (Climate Change Research, FI-00101 Helsinki, Finland). Full details about this dataset can be found at https://doi.org/10.5285/6b8501c8-3931-4c5e-8e1b-584a6ea0d233

The NCEO Kenya forest aboveground biomass map shows aboveground woody biomass (AGB) in Kenyan forests. Forest areas include vegetated wetlands and wooded grassland for the year 2015. The map was generated by combining field inventory plots (KFS) with Advanced Land Observing Satellite (ALOS-2), Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) and multispectral optical data (NASA Landsat 8), by means of a Random Forests algorithm within a k-Fold calibration/validation framework. The characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest inventory. These data were produced by the National Centre for Earth Observation (NCEO), University of Leicester, in collaboration with the Kenya Forest Service (KFS) with funding from the NCEO ODA Programme. Known Issues: Residual scan line corrector (SLC) effects due to the use of the SLEEK land cover product as a retrieval mask (derived from Landsat imagery) are visible in some areas

This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics. The strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or data.ecn.ac.uk). Full details about this dataset can be found at https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc

The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 17th December 2010 and 5th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Wayqecha, an upper montane forest ecosystem ground site, in the Peruvian Andes. Data were collected tor the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 5th January 2011 and 4th July 2013 by the University of Aberdeen Thermo TRACE Gas Chromatograph Ultra at Tres Cruces, a montane grassland ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 23rd July 2011 and 8th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Villa Carmen, a premontane forest ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

The dataset contains concentrations of carbon dioxide and methane which were collected in discrete air samples during intensive seasonal campaigns in November 2011 and August 2012 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Tres Cruces, a montane grassland ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 15th December 2010 and 6th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at San Pedro, a lower montane forest ecosystem ground site, in the Peruvian Andes. Data were collected for the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).

The data set contains vertical profiles of diffuse light transmittance measured within six forest plots in montane Atlantic forest, São Paulo state, Brazil. The plots measured include intact, previously logged and secondary forest in a large continuous forest block of the Serra do Mar State Park (Parque Estadual de Serra do Mar), and two forest fragments outside the park. In each plot 10 - 12 individual light profiles were recorded; the data set contains these individual profiles and averages profiles for each plot based on both height above the ground and depth below the canopy. Each profile was measured only once. Data was collected March - November 2015 as part of the NERC Human modified Tropical Forest Programme. Full details about this dataset can be found at https://doi.org/10.5285/4f3cf9f6-d7e5-4ae0-87c9-064b4e66a92a

This dataset includes measurements of microbial community composition by phospholipid fatty acid (PLFA) analysis, soil respiration (Carbon dioxide (CO2)), soil physico-chemical properties and 13C enrichment in CO2 samples and microbial Phospholipid Fatty Acids (PLFAs). Data were produced for an investigation of the effects of carbon (C) substrate addition on soil carbon cycling processes in ten tropical soils from the Peruvian Andes. Soils were amended with 13C labelled substrates (xylose, glycine, vanillin and hemicellulose) and incubated under controlled conditions for 7 days. Full details about this dataset can be found at https://doi.org/10.5285/cc264d08-ba89-42f0-a7cf-9c9477e1e2bd