From Abbot & Marohasy, 2017, pag.37:
There is an extensive literature examining the occurrence of periodic cycles within proxy temperature reconstructions, through application of spectral analysis [32,78,88] . Many of these stud- ies also discuss possible relationships between these cyclic pat- terns in temperature profiles and natural phenomena that may affect causation, particularly those associated with solar cycles [14,27,40,56,74,81,82,97] . For example, in the southern hemisphere, Nordemann et al.  undertook spectral analysis using tree ring data from Brazil and Chile, providing evidence for associations with solar cycles, particularly the Suess ( ∼200 year), Gleissberg ( ∼90 years), Hale ( ∼ 22 years) and Schwabe (11 years) cycles.
Rigozoa et al.  examined tree ring widths in Chile, and found an association with solar activity with 11 and 80 year periodicities.
In the northern hemisphere, Raspopov et al.  performed spectral analysis of long-term dendrochronological data from Cen- tral Asia and demonstrated an approximate 200-year climatic pe- riodicity, showing a high correlation with solar periodicity for the de Vries period ( ∼210 years). Ogurtsov et al.  reported spectral analysis of tree periodicity and discussed the association with the modulation of regional climate in Northern Fennoscandia by the Gleissberg solar cycle ( ∼90 years).
Moffa-Sanchez et al.  examined marine sediments for isotopic signals in the shells of the planktonic foraminifera over the past 1000 years. Spectral analysis showed a 200-year periodicity, identified with de Vries solar cycle ( ∼210 years).
Galloway et al. generated a late Holocene temperature record based on diatoms from a sediment obtained from British Columbia, Canada. Spectral analysis shows significant periodicities at 42–60, 70–89, 241–243, and 380 years, and inferred relationships to sunspot number variation.
Tan and Liu  produced a 2650-year temperature reconstruction from annual layers of a stalagmite from China, with spectral analysis indicating significant periodicities at 206 and 325 years.
Cyclic variations have also been associated with large-scale internal climate oscillatory modes  , that may themselves in turn be influenced by solar activity [49,65,91,93,100,102] .
For example, Wilson et al.  examined tree ring widths to enable a reconstruction over 1300 years for the Gulf of Alaska: identifying oscillatory modes at 90, 38, 24, 50.4 and 18.7 years related to changes in sea surface
ABSTRACT of Tan & Liu, 2003:
 A 2650-year (BC665-AD1985) warm season (MJJA: May, June, July, August) temperature reconstruction is derived from a correlation between thickness variations in annual layers of a stalagmite from Shihua Cave, Beijing, China and instrumental meteorological records. Observations of soil CO2 and drip water suggest that the temperature signal is amplified by the soil-organism-CO2 system and recorded by the annual layer series. Our reconstruction reveals that centennial-scale rapid warming occurred repeatedly following multicentenial cooling trends during the last millennia. These results correlate with different records from the Northern Hemisphere, indicating that the periodic alternation between cool and warm periods on a sub-millennial scale had a sub-hemispherical influence.
Look at fig.3.
Comparison between the observed temperature and the LTC (see text). (a), Comparison of observed Beijing MJJA temperature (purple) and the LTC (red) from 1930 to 1985. Timescale is the same as that in (c). (b), Comparison of observed Beijing MJJA temperature (purple) and observed NH annual mean temperature (blue) from 1930 to 2000. (c), Comparison of the LTC (red) and observed NH mean annual temperature (blue) from 1856 to 1985 [Observed data for Beijing from website: giss-nasa (lack of 1938). NH data from website: cru-uea.
There is an updated version -detrending in a different way (Wiles et al.
2014)- which was used in this large scale comspoite compilation. Coded GOA.
hope this helps