This dataset 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. Plot CRP-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT The TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory.

This dataset 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. Plot NXV-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT The TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory.

This dataset 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. Plot CRP-01 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT The TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory.

This dataset 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. Plot NXV-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT The TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory.

This dataset 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. Plot VCR-02 is located in Nova Xavantina, Brazil, is part of the Global Ecosystem Monitoring (GEM) network and is managed by UNEMAT The TLS data were collected on a 10 m x 10 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees for all scans. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. For more information on TLS acquisition refer to Wilkes et al. (2017). Scan data were coregistered using RiSCAN Pro, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory.

The Brazil-UK Network for Investigation of Amazonian Atmospheric Composition and Impacts on Climate (BUNIAACIC) collaboration was a NERC (Natural Environment Research Council) funded project (NE/I030178/1) This project aimed to develop a coherent strategy for UK studies of atmospheric composition and impacts in the Amazon. This dataset collection contains atmospheric composition measurements.

The Brazil-UK Network for Investigation of Amazonian Atmospheric Composition and Impacts on Climate (BUNIAACIC) collaboration was a NERC (Natural Environment Research Council) funded project (NE/I030178/1) This project aimed to develop a coherent strategy for UK studies of atmospheric composition and impacts in the Amazon. This dataset contains black carbon measurements by the Manchester Multiangle Absorption Photometer (MAN-MAAP-BC)

The Brazil-UK Network for Investigation of Amazonian Atmospheric Composition and Impacts on Climate (BUNIAACIC) collaboration was a NERC (Natural Environment Research Council) funded project (NE/I030178/1) This project aimed to develop a coherent strategy for UK studies of atmospheric composition and impacts in the Amazon. This dataset contains humidity and aerosol measurements from the Manchester Hygroscopicity Tandem Differential Mobility Analyser (man-htdma)

The Brazil-UK Network for Investigation of Amazonian Atmospheric Composition and Impacts on Climate (BUNIAACIC) collaboration was a NERC (Natural Environment Research Council) funded project (NE/I030178/1) This project aimed to develop a coherent strategy for UK studies of atmospheric composition and impacts in the Amazon. This dataset contains measurements from the Aerodyne Aerosol Chemical Speciation Monitor operated by Universidade de Sao Paulo (USP-ACSM)

The Brazil-UK Network for Investigation of Amazonian Atmospheric Composition and Impacts on Climate (BUNIAACIC) collaboration was a NERC (Natural Environment Research Council) funded project (NE/I030178/1) This project aimed to develop a coherent strategy for UK studies of atmospheric composition and impacts in the Amazon. This dataset contains cloud condensation nuclei measurements.