Dataset complementing "Characterizing CO2 dynamics in a Danish grazed fen using a low-cost distributed sensor network and machine learning. Blue Transition Pilot DK2: Meadow Aastrup Kær"

Data on CO2 concentrations, water table depth, temperature, and relative humidity from Meadow Aastrup Kær 2024-2026, collected in connection with the EU Interreg North Sea project Blue Transition, pilot DK2 Meadow Aastrup Kær. Description of data collection and analysis, sensors, sources of error etc. are described in: Andersen, J.L. Rasmussen, K.E., Characterizing CO2 dynamics in a Danish grazed fen using a low-cost distributed sensor network and machine learning. Blue Transition Innovative Techniques Report, August 2026. The data are derived from five independent loggers. Loggers Aak1-4 was located in Meadow Aastrup Kær, with Aak4 only recording water level. Logger 4 (L4) was located at a wetland in Vejrumbro, at two different locations. Locations are in the geojson files. Machine learning analysis of datafiles AllData_L1_train.csv and AllData_L1_forecast_edited.csv can be found at: Rasmussen, K. E. (2026). LSTM model for forecasting CO2 based on time series data. [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21812427 This research was supported as part of Blue Transition, an Interreg North Sea project co-funded by the European Union.