| spratt2016 {gsloid} | R Documentation |
Global Sea Level Reconstruction using Stacked Records from 0-800 ka.
Description
This is a Late Pleistocene sea level stack based on marine sediment core data (foraminiferal carbonate d18O) as estimated by several different techniques in seven different studies. Obtained from https://www.ncdc.noaa.gov/paleo-search/study/19982 on 28 June 2017. A data frame with 799 rows and 9 variables.
Usage
spratt2016
Format
An object of class data.frame with 799 rows and 9 columns.
Details
age_calkaBPAge, calendar ka BP
SeaLev_shortPC1Sea Level, meters above present day, climate reconstructions, Scaled first principal component of seven sea level reconstructions (0-430 ka),N
SeaLev_shortPC1_err_sigSea Level, standard deviation from bootstrap, meters, climate reconstructions, Scaled first principal component of seven sea level reconstructions (0-430 ka),N
SeaLev_shortPC1_err_loSea Level, 95% confidence interval, lower bound, meters, climate reconstructions, Scaled first principal component of seven sea level reconstructions (0-430 ka),N
SeaLev_shortPC1_err_upSea Level, 95% confidence interval, upper bound, meters, climate reconstructions, Scaled first principal component of seven sea level reconstructions (0-430 ka),N
SeaLev_longPC1Sea Level, meters above present day, climate reconstructions, Scaled first principal component of five sea level reconstructions (0-798 ka),N
SeaLev_longPC1_err_sigSea Level, standard deviation from bootstrap,meters, climate reconstructions, Scaled first principal component of five sea level reconstructions (0-798 ka),N
SeaLev_longPC1_err_loSea Level, 95% confidence interval, lower bound,meters, climate reconstructions,Scaled first principal component of five sea level reconstructions (0-798 ka),N
SeaLev_longPC1_err_upSea Level, 95% confidence interval, upper bound,meters, climate reconstructions, Scaled first principal component of five sea level reconstructions (0-798 ka),N
Source
https://www.ncei.noaa.gov/access/paleo-search/study/19982
Examples
names(spratt2016)
head(spratt2016)