# Process MD99_2275 data from Sicre et al 2011
library(tidyverse)
readxl::excel_sheets("data-raw/sicre2011.xlsx")
sicre.2011.MD99_2275.temperature <- readxl::read_excel("data-raw/sicre2011.xlsx",
sheet = "MD99-2275 SST", skip = 2,
col_types = c("numeric", "numeric"),
na = "-") %>%
mutate(Core = "MD99-2275", Number = 1, ID.no = "N1",
ID = "MD99-2275 UK'37", Proxy.type = "UK'37",
Published.temperature = `T °C`,
Age.yrs.AD = round(`Age (yrs AD)`),
Age.yrs.BP = 1950-Age.yrs.AD) %>%
select(Core, Number, ID.no, ID, Proxy.type, Published.temperature, Age.yrs.AD, Age.yrs.BP)
sicre.2011.MD99_2275.age.model <- readxl::read_excel("data-raw/sicre2011.xlsx",
sheet = "MD99-2275 Age-Model", skip = 2,
#col_types = c("numeric", "numeric"),
na = "-") %>%
mutate(Marine04 = `Marine04 age BP ± 1σ/(14C yr BP)`) %>%
separate(`Tephra model age (cal. yr BP)`, c("Tephra.age", "Tephra.error"),
sep = "±", remove = FALSE, convert = TRUE) %>%
separate(Marine04, c("Marine04.age", "Marine04.error"),
sep = " ", remove = FALSE, convert = TRUE)
## create metadata for MD99_2275
sicre.2011.MD99_2275.metadata <- structure(list(Number = 1, ID.no = "N1", Core = "MD99-2275", Location = "Subpolar North Atlantic",
Proxy = "UK'37", Lat = 66.55, Lon = -17.7, Elevation = "-470",
Reference = "Sicre et al. 2011",
Resolution = 20, Calibration.ref = "",
Calibration = "", Foram.sp = "",
Ref.14C = "", Notes = "NA_character_", Geo.cluster = "Iceland",
Archive.type = "Marine sediment"), .Names = c("Number", "ID.no",
"Core", "Location", "Proxy", "Lat", "Lon", "Elevation", "Reference",
"Resolution", "Calibration.ref", "Calibration", "Foram.sp", "Ref.14C",
"Notes", "Geo.cluster", "Archive.type"), row.names = c(NA, -1L
), class = c("tbl_df", "tbl", "data.frame"))
devtools::use_data(sicre.2011.MD99_2275.temperature, sicre.2011.MD99_2275.age.model, sicre.2011.MD99_2275.metadata, overwrite = TRUE)
# p <- sicre.2011.MD99_2275 %>%
# ggplot(aes(x = `Age (yrs AD)`, y = `T °C`)) %>%
# + geom_line() +
# geom_point()
# p
# library(splines)
# p <- sicre.2011.MD99_2275.age.model %>%
# ggplot(aes(x = `Tephra.age`, y = `Spliced core depth (cm)`)) %>%
# + geom_line() +
# geom_point() +
# geom_smooth(method = "lm", formula = y ~ ns(x, 3))
# p
#
sicre.2011.MD99_2275.age.model %>%
filter(Tephra.age <= 1000) %>%
lm(`Core depth (cm)`~ Tephra.age, data = .)
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