#' DML oxygen isotope data
#'
#' A dataset containing the oxygen isotope data of 15 firn cores from Dronning
#' Maud Land (DML), Antarctica, as used in Münch and Laepple (2018).
#'
#' @format A named list with two components:
#' \describe{
#' \item{dml1:}{a named list with 15 components where each component is a
#' vector of length 194 with the oxygen isotope data in per mil for all 15
#' cores for the years from 1994 CE to 1801 CE.}
#' \item{dml2:}{a named list with 3 components where each component is a vector
#' of length 995 with the oxygen isotope data in per mil for the cores
#' \code{"B31"}, \code{"B32"} and \code{"B33"} for the years from 1994 CE to
#' 1000 CE.}
#' }
#' @details
#' Original source data was downloaded from
#' \url{https://doi.org/10.1594/PANGAEA.728240} including the firn cores FB9804,
#' FB9805, FB9807–FB9811, FB9813–FB9817, and B31–B33. The source data was
#' processed as documented in the package source (\code{data-raw/load.DML.R})
#' which inludes the selection of the oxygen isotope data and the required time
#' span, and linear interpolation of missing values.
#' @source
#' \describe{
#' \item{Data citation:}{
#'
#' Graf, W., et al.: Stable-isotope records from
#' Dronning Maud Land, Antarctica, PANGAEA,
#' \url{https://doi.org/10.1594/PANGAEA.728240}, 2002.}
#' \item{License:}{
#'
#' CC-BY-3.0 (\url{https://creativecommons.org/licenses/by/3.0/}).}
#' \item{Literature citation:}{
#'
#' Graf, W., et al.: Stable-isotope records from Dronning Maud Land,
#' Antarctica, Ann. Glaciol., 35, 195–201, 2002.
#'
#' Münch,
#' T. and Laepple, T.: What climate signal is contained in decadal- to
#' centennial-scale isotope variations from Antarctic ice cores? Clim. Past,
#' 14, 2053–2070, \url{https://doi.org/10.5194/cp-14-2053-2018}, 2018.}
#' }
#'
"dml"
#' WAIS oxygen isotope data
#'
#' A dataset containing the oxygen isotope data of 5 firn cores from the West
#' Antarctic Ice Sheet (WAIS), Antarctica, as used in Münch and Laepple (2018).
#'
#' @format A data frame with 201 rows and 5 variables where each variable is the
#' time series of oxygen isotope data from one of the firn cores in per mil for
#' the years from 2000 CE to 1800 CE.
#' @details
#' Original source data was downloaded from
#' \url{https://doi.org/10.7265/N5QJ7F8B} including the firn cores WDC2005A,
#' ITASE-1999-1, ITASE-2000-1, ITASE-2000-4 and ITASE-2000-5. The source data
#' was processed as documented in the package source
#' (\code{data-raw/load.WAIS.R}) which inludes the selection of the oxygen
#' isotope data and the required time span, bin-averaging to annual resolution
#' of the cores ITASE-2000-4 and ITASE-2000-5 from their original
#' higher-resolution data, and linear interpolation of missing values.
#' @source
#' \describe{
#' \item{Data citation:}{
#'
#' Steig, E. J.: West Antarctica Ice Core and Climate Model Data,
#' U.S. Antarctic Program (USAP) Data Center,
#' \url{https://doi.org/10.7265/N5QJ7F8B}, 2013.}
#' \item{License:}{
#'
#' CC-BY-NC-4.0 (\url{https://creativecommons.org/licenses/by-nc/4.0/}).}
#' \item{Literature citation:}{
#'
#' Steig, E. J., et al.: Recent climate and ice-sheet changes in West
#' Antarctica compared with the past 2,000 years, Nat. Geosci., 6, 372–375,
#' \url{https://doi.org/10.1038/ngeo1778}, 2013.
#'
#' Münch, T. and Laepple, T.: What climate signal is contained in decadal- to
#' centennial-scale isotope variations from Antarctic ice cores? Clim. Past,
#' 14, 2053–2070, \url{https://doi.org/10.5194/cp-14-2053-2018}, 2018.}
#' }
#'
"wais"
#' Diffusion transfer functions
#'
#' A dataset containing the calculated diffusion transfer functions for the
#' DML1, DML2 and WAIS records from Münch and Laepple (2018) based on numerical
#' simulations. The transfer function describes the average effect firn
#' diffusion has on the mean of the spectra from a number of \code{N} spatially
#' distributed oxygen isotope records.
#'
#' @format A named list with the 3 elements \code{dml1}, \code{dml2}, and
#' \code{wais}, where each element is a spectral object:
#' \describe{
#' \item{\code{freq}:}{the frequency axis in units of \code{1 / yr},}
#' \item{\code{spec}:}{the transfer function value at each frequency.}
#' }
#'
#' @source
#' The transfer functions were obtained using \code{?CalculateDiffusionTF} for
#' the site-specific diffusion lengths provided by
#' \code{proxysnr:::diffusion.length}; see also the respective package
#' \code{vignette("calculate-transfer-functions")}. Isotope records were
#' simulated at semi-annual resolution and the transfer functions interpolated
#' in frequency space to annual resolution. Note here that prior to
#' \code{proxysnr} v1.0.0, the transer functions supplied to
#' \code{\link{SeparateSignalFromNoise}} needed to match in frequency axis the
#' spectra of the analysed data, hence the interpolation step. From
#' \code{proxysnr} v1.0.0 onwards this is no longer required, as the frequency
#' axis overlap is checked within \code{\link{SeparateSignalFromNoise}}, with
#' interpolation taking place there, if needed. The example firn diffusion
#' transfer functions here were, however, left as originally produced to
#' maintain consistency with the results published in Münch and Laepple (2018).
#'
#' @seealso
#' \code{\link{CalculateDiffusionTF}},
#' \code{vignette("calculate-transfer-functions")}
#' @references
#' Münch, T. and Laepple, T.: What climate signal is contained in
#' decadal- to centennial-scale isotope variations from Antarctic ice cores?
#' Clim. Past, 14, 2053–2070, \url{https://doi.org/10.5194/cp-14-2053-2018},
#' 2018.
"diffusion.tf"
#' Time uncertainty transfer functions
#'
#' A dataset containing the calculated time uncertainty transfer functions for
#' the DML1, DML2 and WAIS records from Münch and Laepple (2018) based on
#' numerical simulations. The transfer function describes the effect time
#' uncertainty has on the spectrum of the average (in the time domain) of
#' a number of \code{N} proxy records.
#'
#' @format A named list with the 3 elements \code{dml1}, \code{dml2}, and
#' \code{wais}, where each element is a spectral object:
#' \describe{
#' \item{\code{freq}:}{the frequency axis in units of \code{1 / yr},}
#' \item{\code{spec}:}{the transfer function value at each frequency.}
#' }
#'
#' @source
#' The transfer functions were obtained using
#' \code{?CalculateTimeUncertaintyTF}; see also the respective package
#' \code{vignette("calculate-transfer-functions")}.
#' @seealso
#' \code{\link{CalculateTimeUncertaintyTF}},
#' \code{vignette("calculate-transfer-functions")}
#' @references
#' Münch, T. and Laepple, T.: What climate signal is contained in
#' decadal- to centennial-scale isotope variations from Antarctic ice cores?
#' Clim. Past, 14, 2053–2070, \url{https://doi.org/10.5194/cp-14-2053-2018},
#' 2018.
"time.uncertainty.tf"
#' \code{proxysnr} spectral object
#'
#' @description{
#' A spectral object is a named list of the two elements \code{freq} and
#' \code{spec}, which are numeric vectors of the same length holding a frequency
#' axis and the corresponding power spectral densities.
#' \cr
#' \cr
#' Optionally, the list can in addition include a vector with the degrees of
#' freedom of the spectrum (list element \code{dof}) and be of class
#' \code{"spec"}, but \code{proxysnr} does not include any methods generic to
#' that class as of now.
#' }
#' @name spec.object
NULL
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