We present a continuous dataset of carbon and energy fluxes measured over an alpine steppe at Nam Co in the Tibetan Plateau (TP), c. 220 km north of Lhasa.These data were collected to quantify landscape-scale fluxes and understand seasonal ecosystem dynamics in this high-altitude grassland. Measurements were collected using the Eddy Covariance technique, employing a CSAT3 ultrasonic anemometer and a Li-7500RS open-path infrared gas analyzer installed at 19 m above ground.
Compared to the existing long-term measurements at 3 m at this site, the higher measurement height provides a larger footprint (~30 ha), enabling landscape-scale flux estimation and improved alignment with satellite observations. The source area represents a broader area, encompassing the alpine steppe with subtle vegetation density variations, more productive and wetter patches near the lakeshore, and occasional inclusion of the adjacent lake surface.
The dataset spans approximately one year, from 14 July 2018 to 08 June 2019. Flux measurements were quality-filtered and gap-filled to produce a complete seasonal record using two complementary approaches, marginal distribution sampling (MDS) and random forest (RF). The dataset primarily consists of half-hourly flux measurements, including carbon, water, and energy fluxes, quality flags, uncertainty estimates, and footprint diagnostics. Derived daily and monthly files provide aggregated fluxes and associated uncertainties. In addition, site meteorological observations (Biomet) are also included. All data are provided as CSV files, with file and variable descriptions explained in the accompanying data description file.