This dataset collection is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. The terrestrial laser scanner (TLS) was able to scan 1000s of trees in tropical forests on three continents: including Amazonia, the Congo Basin and SE Asia. The laser data measured 3D tree volume and biomass non-destructively to within a few percent of the best current estimates, made by destructive harvesting and weighing. The project scanned all trees in multiple permanent sample plots (PSPs) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.

The NCEO Manaus plots Above Ground Biomass (AGB) map 2014 v1.0 shows above ground woody biomass in plot sites around the city of Manaus in the state of Amazonas, Brazil. The data supports characterization of carbon stocks and dynamics at the national level, which is critical for countries engaging in climate change mitigation and adaptation strategies. The data consists of AGB for 22 plot sites in the dbf data file. The file is accompanied by shape and metadata files (sbx, shp, shx and prj files) containing plot location information enabling display in GIS applications such as QGIS.

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

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 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, 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 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 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).