A dataset determining cross-correlation of sunspots cycles with low and high frequencies oceanographic indexes in the Pacific and Atlantic oceans

The dataset could help to understand the rather complex oceanographic processes that modulate weather and climate beyond the boundaries where ENSO events and AMO and PDO indexes occur.
The available dataset can be used by scientists (oceanographers, meteorologists, etc.) to improve modelling skills by adding solar energy anomalies within the physical and/or statistical models, and by widening the forecasting periods.
ENSO events can have devastating impacts in society around the globe. Thus, the results from this dataset can be useful to improve predictive ENSO models to help society prepare itself better to endure the strong impacts from El Niño (rain) or La Niña (droughts) events.
One of the benefits could be scientific projects for new in situ data acquisition of solar energy (magnitude and spectral variation) in the El Niño, SOI, PDO and AMO regions.
Reconstructed data has been extrapolated back to early 1900, but they can be biased or uncertain (Jones 2017). Therefore, the time series from 1954 to 2019 of SS, PDO, AMO, SOI, ONI, and MEI. This period covers sunspots cycles 19 to 24.
The raw data was acquired through web sites of:
• Schwabe cycles (sun spots monthly counts):Brussels, World Data Center SILSO (http://www.sidc.be/silso/datafiles).
• SST/SSTA: http://www.cpc.ncep.noaa.gov/data/indices/.
• ONI:http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.shtml.
• MEI: https://www.esrl.noaa.gov/psd/enso/mei/table.html.
• SOI: Climate Prediction Center - Southern Oscillation Index (noaa.gov)
• PDO: https://www.ncdc.noaa.gov/teleconnections/pdo/.
• AMO: https://www.esrl.noaa.gov/psd/data/timeseries/AMO/
• All data was downloaded in Excell spread sheet (*.xlsx or *.csv).