Continuous Gap-filled Atmospheric N2O Record for the Past 800,000 Years Using Machine Learning Techniques: Dataset
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This dataset includes a recent compilation of (1) the published Antarctic ice core greenhouse gas (GHG) records over the last 800,000 years and (2) a simulated continuous gap-filled nitrous oxide (N<sub>2</sub>O) record over the same period. Existing ice core records contain numerous gaps for the atmospheric N<sub>2</sub>O variations, particularly during glacial periods, while CO<sub>2</sub> and CH<sub>4</sub> data have relatively fewer gaps compared to N<sub>2</sub>O. Machine Learning (ML) models were applied to simulate the continuous time series of N<sub>2</sub>O based on existing CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O data after carefully aligning their time scales. Several ML algorithms were compared and multiple simulations were iterated to decide the best-performing ML model and outcome for the final simulation of continuous time series. Examining the simulated gap-filled N<sub>2</sub>O data, we identified millennial-scale N<sub>2</sub>O variations associated with known climate orbital forcing in different periodicities, which could be a subject for future studies. The simulated records here, combined with existing measurements of N<sub>2</sub>O concentrations, present a benchmark for future studies to improve our understanding of atmospheric N<sub>2</sub>O control mechanisms.<b>Version history:</b><b>DataSet_20241016.xlsx</b>: Original dataset submitted with the manuscript before peer review.<b>EDC_timescale.xlsx</b>: Revised dataset reflecting changes made during peer review; used for all figures in the published article.<b>AICC2012_timescale.xlsx</b>: Supplementary dataset applying the same gap-filling methods to GHG records, based on the updated AICC2012 timescale.<b>Apply_offset.xlsx</b>: Contains the calculation of the CO₂ offset value used in the analysis.<br>
