
This repository hosts the data from Meli M. 2024: The potential recording of North Ionian Gyre’s reversals as a decadal signal in sea level during the instrumental period. Scientific Reports, 14, 4907. https://doi.org/10.1038/s41598-024-55579-4 The dataset contains: - Python code for analysis of altimetry products ("satellite.py") and tide gauge time series ("tg.py"). - The "satellite" folder contains txt files, each representing the annual time series of the first (_1) and second (_2) oscillatory modes decomposed from the satellite altimetry signal and averaged over specific sub-basins. The nc file, on the other hand, contains the time series for every grid point of the altimetry product, along with the various layers (modes) decomposed from the original signal. - The "tide_gauges" folder contains npy files, each representing the annual time series of all oscillatory modes decomposed at each tide gauge selected for this analysis. The csv file contains the sub-basin and regional averaged signals of the second oscillatory mode, along with their standard deviations.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
