BERTHA (Buoyant Emission Recorder for Temporal High-Frequency Analyses) is a mid-cost automated floating chamber system for measuring greenhouse gas fluxes from inland waters. The dataset likely contains high-frequency CO2 and CH4 flux measurements over 97 days, used to evaluate infrequent measurement strategies. It was authored by R.C.H. Aben and hosted by DANS Data Station Life Sciences Collection.
Use Cases
- Benchmarking reduced measurement strategies based on high-frequency flux data
- Evaluating machine learning-based gap-filling approaches for flux estimates
- Analyzing biases introduced by daytime-only or infrequent sampling campaigns
- Calibrating mid-cost CO2 and CH4 sensors using empirical correction factors
Strengths
- High-frequency measurements over a 97-day period provide a robust temporal benchmark
- Includes empirically derived pressure and water vapour correction factors for sensor accuracy
- Compares automated high-frequency data with simulated infrequent measurement scenarios
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- DANS Data Station Life Sciences Collection
- Collection Method
- Data collected via an automated floating chamber system (BERTHA) deployed on inland waters.
- Time Range
- The study period includes 97 days of high-frequency measurements.
- Freshness
- Last updated 2026-07-14 05:10:10; freshness should be verified