2026-10-14T18:55:45Z https://data.mendeley.com/oai

oai:data.mendeley.com/8p47cj89vh.1 2019-09-07T14:57:36Z

Sun, Yurui Data for: An automatic smart measurement system with signal decomposition to partition dual-source CO2 flux from maize silage Mendeley Data Using a self-developed automatic sensor system with novel signal decomposition, we successfully partitioned CO2 flux into two independent streams derived from the two distinct pools in maize silage, following two independent processes: a physical venting of stored gas through a tortuous diffusive pathway, and a biochemical process generating gas in real time. Three silage samples, treated with a chemical or a biological additive, or left untreated, were tested. The signal decomposition found two best-fit functions (0.8034 ≤ R2 ≤ 0.9036), a quadratic CO2 discharge function and an exponential CO2 production function, for characterizing these distinct processes. Signal Processing Signal Interpolation Signal Detection Dataset doi:10.17632/8p47cj89vh.1 oai:data.mendeley.com/8p47cj89vh.1 Attribution-NonCommercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0 https://data.mendeley.com/datasets/8p47cj89vh 2019-09-07T14:57:36Z 2020-07-19T00:00:00Z