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The FLUXCOM ensemble of global land-atmosphere energy fluxes., , , , , , , , , and . CoRR, (2018)Ranking drivers of global carbon and energy fluxes over land., , , , , , , , , and . IGARSS, page 4416-4419. IEEE, (2015)Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests., , , , , , , , and . IGARSS, page 5891-5894. IEEE, (2018)Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures., , , , , , , , , and 8 other author(s). eScience, page 446-447. IEEE Computer Society, (2017)Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates., , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)Active actuator fault detection and diagnostics in HVAC systems., , , , , , , and . BuildSys@SenSys, page 107-114. ACM, (2012)Compensatory water effects link yearly global land CO2 sink changes to temperature., , , , , , , , , and 14 other author(s). Nature, 541 (7638): 516-520 (2017)Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)Observational Data Patterns for Time Series Data Quality Assessment., , , , , , , , , and 1 other author(s). eScience, page 271-278. IEEE Computer Society, (2014)