#' @title Comprehensive Luminescence Dating Data Analysis\cr
#' \if{html}{
#' \figure{Luminescence_logo.png}{options: width="75" alt="r-luminescence.org"}
#' }
#'
#' @description A collection of various R functions for the purpose of luminescence dating
#' data analysis. This includes, amongst others, data import, export,
#' application of age models, curve deconvolution, sequence analysis and
#' plotting of equivalent dose distributions.
#'
#' @name Luminescence-package
#' @aliases Luminescence-package Luminescence
#'
#' @details
#'
#' **Supervisor of the initial version in 2012**
#'
#' Markus Fuchs, Justus-Liebig-University Giessen, Germany
#'
#' **Support contact**
#'
#' * \email{developers@@r-luminescence.org}
#' * [https://github.com/R-Lum/Luminescence/discussions]()
#'
#' **Bug reporting**
#'
#' * \email{developers@@r-luminescence.org} or
#' * [https://github.com/R-Lum/Luminescence/issues]()
#'
#' **Project website**
#'
#' * [https://r-luminescence.org]()
#'
#' **Project source code repository**
#'
#' * [https://github.com/R-Lum/Luminescence]()
#'
#' **Related package projects**
#'
#' * [https://cran.r-project.org/package=RLumShiny]()
#' * [https://cran.r-project.org/package=RLumModel]()
#' * [https://cran.r-project.org/package=RLumCarlo]()
#' * [https://cran.r-project.org/package=RCarb]()
#'
#' **Funding**
#'
#' * 2011-2013:  The initial version of the package was developed, while Sebastian Kreutzer
#' was funded through the DFG programme "Rekonstruktion der Umweltbedingungen
#' des Spätpleistozäns in Mittelsachsen anhand von Löss-Paläobodensequenzen"
#' (DFG id: 46526743)
#'
#' * 2014-2018: Cooperation and personal exchange between the developers is gratefully
#' funded by the DFG (SCHM 3051/3-1) in the framework of the program
#' "Scientific Networks". Project title: "RLum.Network: Ein
#' Wissenschaftsnetzwerk zur Analyse von Lumineszenzdaten mit R" (2014-2018)
#'
#' * 05/2014-12/2019: The work of Sebastian Kreutzer as maintainer of the package was supported
#' by LabEx LaScArBx (ANR - n. ANR-10-LABX-52).
#'
#' * 01/2020-04/2022: Sebastian Kreutzer as maintainer of the package has received funding
#' from the European Union’s Horizon 2020 research and innovation programme under
#' the Marie Skłodowska-Curie grant agreement No 844457 (CREDit), and could continue
#' maintaining the package.
#'
#' * since 03/2023: Sebastian Kreutzer as maintainer of the package receives funding from the
#' DFG Heisenberg programme No 505822867.
#'
#' * since 08/2024: The future and sustainable development of 'Luminescence'
#' towards better reproducibility and usability is supported through the DFG
#' programme "REPLAY: REProducible Luminescence Data AnalYses" No 528704761,
#' led by Dr Sebastian Kreutzer (PI at Heidelberg University, DE) and Dr Thomas
#' Kolb (PI at Justus-Liebig-University Giessen, DE).
#'
#' * All other authors gratefully received additional funding from various public funding bodies.
#'
#' @references
#' Dietze, M., Kreutzer, S., Fuchs, M.C., Burow, C., Fischer, M.,
#' Schmidt, C., 2013. A practical guide to the R package Luminescence.
#' Ancient TL, 31 (1), 11-18.
#'
#' Dietze, M., Kreutzer, S., Burow, C., Fuchs, M.C., Fischer, M., Schmidt, C., 2016. The abanico plot:
#' visualising chronometric data with individual standard errors. Quaternary Geochronology 31, 1-7.
#' https://doi.org/10.1016/j.quageo.2015.09.003
#'
#' Fuchs, M.C., Kreutzer, S., Burow, C., Dietze, M., Fischer, M., Schmidt, C.,
#' Fuchs, M., 2015. Data processing in luminescence dating analysis: An
#' exemplary workflow using the R package 'Luminescence'. Quaternary
#' International, 362,8-13. https://doi.org/10.1016/j.quaint.2014.06.034
#'
#' Kreutzer, S., Schmidt, C., Fuchs, M.C., Dietze, M., Fischer, M., Fuchs, M.,
#' 2012. Introducing an R package for luminescence dating analysis. Ancient TL,
#' 30 (1), 1-8.
#'
#' Mercier, N., Kreutzer, S., Christophe, C., Guérin, G., Guibert, P., Lahaye, C., Lanos, P., Philippe, A.,
#' Tribolo, C., 2016. Bayesian statistics in luminescence dating: The 'baSAR'-model and its
#' implementation in the R package 'Luminescence'. Ancient TL 34 (2), 14-21.
#'
#' Mercier, N., Galharret, J.-M., Tribolo, C., Kreutzer, S., Philippe, A., 2022.
#' Luminescence age calculation through Bayesian convolution of equivalent dose
#' and dose-rate distributions: the De_Dr model.
#' Geochronology 4, 297–310. https://doi.org/10.5194/gchron-4-297-2022
#'
#' Smedley, R.K., 2015. A new R function for the Internal External Uncertainty (IEU) model.
#' Ancient TL, 33 (1), 16-21.
#'
#' King, E.G., Burow, C., Roberts, H., Pearce, N.J.G., 2018. Age determination
#' using feldspar: evaluating fading-correction model performance. Radiation Measurements 119, 58-73.
#' https://doi.org/10.1016/j.radmeas.2018.07.013
#'
#' @keywords package
#'
#' @import utils methods data.table
#'
#' @importFrom  Rcpp evalCpp
#' @importFrom graphics plot abline mtext text lines par lines axTicks axis curve hist legend points polygon segments title
#' @importFrom grDevices adjustcolor rgb
#' @importFrom stats approx density dnorm median na.exclude nls quantile rnorm runif sd uniroot setNames coef predict residuals
#'
#' @useDynLib Luminescence, .registration = TRUE
#'
"_PACKAGE"

#' @title Base datasets
#'
#' @description
#' Collection of datasets with published and unpublished data used within the
#' package.
#'
#' \describe{
#' \item{BaseData.ConversionFactors}{Collection of published dose-rate
#' conversion factors to convert concentrations of radioactive isotopes to
#' dose rate values}
#' \item{BaseData.GrainSizeAttenuation}{Grain size attenuation data by Guérin
#' et al. (2012)}
#' \item{BaseData.FractionalGammaDose}{Collection of (un-)published fractional
#' gamma dose-rate values to scale the gamma-dose rate considering layer-to-layer
#' variations in soil radioactivity}
#' }
#'
#' @section Version: 0.2.0
#'
#' @keywords datasets
#'
#' @aliases
#' BaseDataSet.ConversionFactors
#' BaseDataSet.GrainSizeAttenuation
#' BaseDataSet.FractionalGammaDose
#'
#' @name BaseDataSet
NULL

#' @format
#' **Dose-rate conversion factors**
#'
#' A [`list`] with three elements with dose-rate conversion factors
#' sorted by article and radiation type (alpha, beta, gamma):
#'
#' \tabular{ll}{
#'
#' `AdamiecAitken1998`: \tab
#' Conversion factors from Tables 5 and 6 \cr
#'
#' `Cresswelletal2018`: \tab
#' Conversion factors from Tables 5 and 6 \cr
#'
#' `Guerinetal2011`: \tab
#' Conversion factors from Tables 1, 2 and 3 \cr
#'
#' `Liritzisetal2013`: \tab
#' Conversion factors from Tables 1, 2 and 3 \cr
#' }
#'
#' @source
#' **Dose-rate conversion factors**
#'
#' All gamma conversion factors were carefully read from the tables given in:
#'
#' Adamiec, G., Aitken, M.J., 1998. Dose-rate conversion factors: update.
#' Ancient TL 16, 37-46.
#'
#' Cresswell., A.J., Carter, J., Sanderson, D.C.W., 2018.
#' Dose rate conversion parameters: Assessment of nuclear data.
#' Radiation Measurements 120, 195-201.
#'
#' Guérin, G., Mercier, N., Adamiec, G., 2011. Dose-rate conversion
#' factors: update. Ancient TL, 29, 5-8.
#'
#' Liritzis, I., Stamoulis, K., Papachristodoulou, C., Ioannides, K., 2013.
#' A re-evaluation of radiation dose-rate conversion factors. Mediterranean
#' Archaeology and Archaeometry 13, 1-15.
#'
#' @examples
#' ## conversion factors
#' data("BaseDataSet.ConversionFactors", envir = environment())
#'
#' @name BaseDataSet
NULL

#' @format
#' **Grain size attenuation data**
#'
#' A [`data.frame`] seven columns and sixteen rows. Column headers
#' are `GrainSize`, `Q_K`, `FS_K`, `Q_Th`, `FS_Th`, `Q_U`, `FS_U`.
#' Grain sizes are quoted in µm (e.g., 20, 40, 60 etc.)
#'
#' @source
#' **Grain size attenuation data**
#'
#' Guérin, G., Mercier, N., Nathan, R., Adamiec, G., Lefrais, Y., 2012.
#' On the use of the infinite matrix assumption and associated concepts:
#' A critical review. Radiation Measurements, 47, 778-785.
#'
#' @examples
#' ## grain size attenuation
#' data("BaseDataSet.GrainSizeAttenuation", envir = environment())
#'
#' @name BaseDataSet
NULL

#' @format
#' **Fractional gamma dose-rate values**
#'
#' A [`list`] with fractional gamma dose-rate values sorted by article:
#'
#' \tabular{ll}{
#'
#' `Aitken1985`: \tab
#' Fractional gamma-dose values from table H.1
#' }
#'
#' @source
#' **Fractional gamma dose-rate values**
#'
#' Fractional gamma dose values were carefully read from the tables given in:
#'
#' Aitken, M.J., 1985. Thermoluminescence Dating. Academic Press, London.
#'
#' @examples
#' ## fractional gamma dose
#' data("BaseDataSet.FractionalGammaDose", envir = environment())
#'
#' @name BaseDataSet
NULL

#' Example data for scale_GammaDose()
#'
#' An example data set for the function `scale_GammaDose()` containing layer
#' specific information to scale the gamma dose rate considering variations in
#' soil radioactivity.
#'
#' @format
#'
#' A [`data.frame`]. Please see `?scale_GammaDose()` for a detailed description
#' of its structure.
#'
#' @section Version: 0.1
#'
#' @keywords datasets
#'
#' @examples
#'
#' ## Load data
#' data("ExampleData.ScaleGammaDose", envir = environment())
#'
#' @name ExampleData.ScaleGammaDose
NULL

#' Example data for calc_CobbleDoseRate()
#'
#' An example data set for the function [calc_CobbleDoseRate] containing layer
#' specific information for the cobble to be used in the function.
#'
#' @format
#'
#' A [`data.frame`]. Please see [calc_CobbleDoseRate] for detailed information
#' on the structure of the [data.frame].
#'
#' @section Version: 0.1.0
#'
#' @keywords datasets
#'
#' @examples
#'
#' ## Load data
#' data("ExampleData.CobbleData", envir = environment())
#'
#' @name ExampleData.CobbleData
NULL

#' Base data set for cosmic dose rate calculation
#'
#' Collection of data from various sources needed for cosmic dose rate
#' calculation
#'
#' @format
#'
#' \tabular{ll}{
#'
#' `values.cosmic.Softcomp`: \tab
#' data frame containing cosmic dose rates
#' for shallow depths (< 167 g cm^-2) obtained using the "AGE" program by
#' Rainer Gruen (cf. Gruen 2009). These data essentially reproduce the graph
#' shown in Fig. 1 of Prescott & Hutton (1988). \cr
#'
#' `values.factor.Altitude`: \tab
#' data frame containing altitude factors
#' for adjusting geomagnetic field-change factors. Values were read from Fig. 1
#' in Prescott & Hutton (1994). \cr
#'
#' `values.par.FJH`: \tab
#' data frame containing values for parameters F, J
#' and H (read from Fig. 2 in Prescott & Hutton 1994) used in the expression \cr
#' }
#'
#' \deqn{Dc = D0*(F+J*exp((altitude/1000)/H))}
#'
#' @section Version: 0.1
#'
#' @references
#' Gruen, R., 2009. The "AGE" program for the calculation of luminescence age estimates.
#' Ancient TL, 27, pp. 45-46.
#'
#' Prescott, J.R., Hutton, J.T., 1988. Cosmic ray and gamma ray dosimetry for
#' TL and ESR. Nuclear Tracks and Radiation Measurements, 14, pp. 223-227.
#'
#' Prescott, J.R., Hutton, J.T., 1994. Cosmic ray contributions to dose rates
#' for luminescence and ESR dating: large depths and long-term time variations.
#' Radiation Measurements, 23, pp. 497-500.
#'
#' @source
#' The following data were carefully read from figures in mentioned
#' sources and used for fitting procedures. The derived expressions are used in
#' the function `calc_CosmicDoseRate`.
#'
#' **values.cosmic.Softcomp**
#'
#' \tabular{ll}{
#' Program: \tab "AGE"\cr
#' Reference: \tab Gruen (2009) \cr
#' Fit: \tab Polynomials in the form of
#' }
#'
#' For depths between 40-167 g cm^-2:
#'
#' \deqn{y = 2*10^-6*x^2-0.0008*x+0.2535}
#'
#' (For depths <40 g cm^-2)
#'
#' \deqn{y = -6*10^-8*x^3+2*10^-5*x^2-0.0025*x+0.2969}
#'
#' **`values.factor.Altitude`**
#'
#' \tabular{ll}{
#' Reference: \tab Prescott & Hutton (1994) \cr
#' Page: \tab 499 \cr
#' Figure: \tab 1 \cr
#' Fit: \tab 2-degree polynomial in the form of
#' }
#'
#' \deqn{y = -0.026*x^2 + 0.6628*x + 1.0435}
#'
#'
#' **`values.par.FJH`**
#'
#' \tabular{ll}{
#' Reference: \tab Prescott & Hutton (1994) \cr
#' Page: \tab 500 \cr
#' Figure: \tab 2 \cr
#' Fits: \tab 3-degree polynomials and linear fits
#' }
#'
#' F (non-linear part, \eqn{\lambda} < 36.5 deg.):
#'
#' \deqn{y = -7*10^-7*x^3-8*10^-5*x^2-0.0009*x+0.3988}
#'
#' F (linear part, \eqn{\lambda} > 36.5 deg.):
#'
#' \deqn{y = -0.0001*x + 0.2347}
#'
#' J (non-linear part, \eqn{\lambda} < 34 deg.):
#'
#' \deqn{y = 5*10^-6*x^3-5*10^-5*x^2+0.0026*x+0.5177}
#'
#' J (linear part, \eqn{\lambda} > 34 deg.):
#'
#' \deqn{y = 0.0005*x + 0.7388}
#'
#' H (non-linear part, \eqn{\lambda} < 36 deg.):
#'
#' \deqn{y = -3*10^-6*x^3-5*10^-5*x^2-0.0031*x+4.398}
#'
#' H (linear part, \eqn{\lambda} > 36 deg.):
#'
#' \deqn{y = 0.0002*x + 4.0914}
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##load data
#' data(BaseDataSet.CosmicDoseRate)
#'
#' @docType data
#' @name BaseDataSet.CosmicDoseRate
#' @aliases values.cosmic.Softcomp values.factor.Altitude values.par.FJH
NULL

#' @title All examples
#' @description
#' These examples are fully documented:
#'
#' \itemize{
#' \item [ExampleData.CobbleData]
#' \item [ExampleData.DeValues]
#' \item [ExampleData.Fading]
#' \item [ExampleData.portableOSL]
#' \item [ExampleData.RLum.Data.Image]
#' \item [ExampleData.ScaleGammaDose]
#' \item [ExampleData.SurfaceExposure]
#' \item [ExampleData.TR_OSL]
#' }
#'
#' The following ones are also available, but are visible only via the
#' internal documentation, as they correspond to unpublished or synthetic data:
#'
#' \itemize{
#' \item [ExampleData.Al2O3C]
#' \item [ExampleData.BINfileData]
#' \item [ExampleData.CW_OSL_Curve]
#' \item [ExampleData.FittingLM]
#' \item [ExampleData.LxTxData]
#' \item [ExampleData.LxTxOSLData]
#' \item [ExampleData.MortarData]
#' \item [ExampleData.RF70Curves]
#' \item [ExampleData.RLum.Analysis]
#' \item [ExampleData.XSYG]
#' }
#'
#' @keywords datasets
#'
#' @docType data
#' @name ExampleData
NULL

#' @title Example data from a SAR OSL and SAR TL measurement for the package
#' Luminescence
#'
#' @description Example data from a SAR OSL and TL measurement for package Luminescence
#' directly extracted from a Risoe BIN-file and provided in an object of type
#' [Risoe.BINfileData-class]
#'
#' @format
#'
#' `CWOSL.SAR.Data`: SAR OSL measurement data
#'
#' `TL.SAR.Data`: SAR TL measurement data
#'
#' Each class object contains two slots: (a) `METADATA` is a [data.frame] with
#' all metadata stored in the BIN file of the measurements and (b) `DATA`
#' contains a list of vectors of the measured data (usually count values).
#'
#' @section Version: 0.1
#'
#' @references
#' **CWOSL.SAR.Data**: unpublished data
#'
#' **TL.SAR.Data**: unpublished data
#'
#' @source **CWOSL.SAR.Data**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Bayreuth \cr
#' Lab-Code: \tab BT607 \cr
#' Location: \tab Saxony/Germany \cr
#' Material: \tab Middle grain quartz measured on aluminium cups on a Risø TL/OSL DA-15 reader\cr
#' Reference: \tab unpublished
#' }
#'
#' **TL.SAR.Data**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory of Cologne\cr
#' Lab-Code: \tab LP1_5\cr
#' Location: \tab Spain\cr
#' Material: \tab Flint \cr
#' Setup: \tab Risoe TL/OSL DA-20 reader (Filter: Semrock Brightline, HC475/50, N2, unpolished steel discs) \cr
#' Reference: \tab unpublished \cr
#' Remarks: \tab dataset limited to one position
#' }
#'
#' @note
#' Please note that this example data cannot be exported to a BIN-file using the function
#' `writeR2BIN` as it was generated and implemented in the package long time ago. In the meantime
#' the BIN-file format changed.
#'
#' @docType data
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ## show first 5 elements of the METADATA and DATA elements in the terminal
#' data(ExampleData.BINfileData, envir = environment())
#' CWOSL.SAR.Data@@METADATA[1:5,]
#' CWOSL.SAR.Data@@DATA[1:5]
#'
#' @name ExampleData.BINfileData
#' @aliases CWOSL.SAR.Data TL.SAR.Data
NULL

#' Example CW-OSL curve data for the package Luminescence
#'
#' `data.frame` containing CW-OSL curve data (time, counts)
#'
#' @docType data
#'
#' @format Data frame with 1000 observations on the following 2 variables:
#'
#' - `list("x")`: a numeric vector, time
#' - `list("y")`: a numeric vector, counts
#'
#' @references
#' Baartman, J.E.M., Veldkamp, A., Schoorl, J.M., Wallinga, J.,
#' Cammeraat, L.H., 2011. Unravelling Late Pleistocene and Holocene landscape
#' dynamics: The Upper Guadalentin Basin, SE Spain. Geomorphology, 125,
#' 172-185.
#'
#' Bos, A.J.J. & Wallinga, J., 2012. How to visualize quartz OSL signal
#' components. Radiation Measurements, 47, 752-758.
#'
#' @source **ExampleData.CW_OSL_Curve**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Bayreuth\cr
#' Lab-Code: \tab BT607\cr
#' Location: \tab Saxony/Germany\cr
#' Material: \tab Middle grain quartz measured on aluminium cups on a Risø TL/OSL DA-15 reader.\cr
#' Reference: \tab unpublished data }
#'
#' **CW_Curve.BosWallinga2012**
#'
#' \tabular{ll}{
#' Lab: \tab Netherlands Centre for Luminescence Dating (NCL)\cr
#' Lab-Code: \tab NCL-2108077\cr
#' Location: \tab Guadalentin Basin, Spain\cr
#' Material: \tab Coarse grain quartz\cr
#' Reference: \tab Bos & Wallinga (2012) and Baartman et al. (2011)
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' data(ExampleData.CW_OSL_Curve, envir = environment())
#' plot(ExampleData.CW_OSL_Curve)
#'
#' @name ExampleData.CW_OSL_Curve
#' @aliases CW_Curve.BosWallinga2012 ExampleData.CW_OSL_Curve
NULL

#' Example portable OSL curve data for the package Luminescence
#'
#' A `list` of [RLum.Analysis-class] objects, each containing
#' the same number of [RLum.Data.Curve-class] objects representing
#' individual OSL, IRSL and dark count measurements of a sample.
#'
#' @name ExampleData.portableOSL
#'
#' @docType data
#'
#' @source
#'
#' **ExampleData.portableOSL**
#'
#' \tabular{ll}{
#' Lab: \tab Cologne Luminescence Laboratory\cr
#' Lab-Code: \tab `none` \cr
#' Location: \tab Nievenheim/Germany\cr
#' Material: \tab Fine grain quartz \cr
#' Reference: \tab unpublished data
#' }
#'
#' @keywords datasets
#'
#' @examples
#'
#' data(ExampleData.portableOSL, envir = environment())
#' plot_RLum(ExampleData.portableOSL)
#'
NULL

#' Example data for fit_LMCurve() in the package Luminescence
#'
#' Linearly modulated (LM) measurement data from a quartz sample from Norway
#' including background measurement. Measurements carried out in the
#' luminescence laboratory at the University of Bayreuth.
#'
#' @format Two objects (data.frames) with two columns (time and counts).
#'
#' @references
#' Fuchs, M., Kreutzer, S., Fischer, M., Sauer, D., Soerensen, R., 2012. OSL and IRSL
#' dating of raised beach sand deposits along the south-eastern coast of Norway.
#' Quaternary Geochronology, 10, 195-200.
#'
#' @source
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Bayreuth\cr
#' Lab-Code: \tab BT900\cr
#' Location: \tab Norway\cr
#' Material: \tab Beach deposit, coarse grain quartz measured on aluminium discs on a Risø TL/OSL DA-15 reader\cr
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##show LM data
#' data(ExampleData.FittingLM, envir = environment())
#' plot(values.curve,log="x")
#'
#' @name ExampleData.FittingLM
#' @aliases values.curve values.curveBG
NULL

#' Example Lx/Tx data from CW-OSL SAR measurement
#'
#' LxTx data from a SAR measurement for the package Luminescence.
#'
#' @format A [`data.frame`] with 4 columns (Dose, LxTx, LxTx.Error, TnTx).
#'
#' @references unpublished data
#'
#' @source
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Bayreuth\cr
#' Lab-Code: \tab BT607\cr
#' Location: \tab Ostrau (Saxony-Anhalt/Germany)\cr
#' Material: \tab Middle grain (38-63 \eqn{\mu}m) quartz measured on a Risoe TL/OSL DA-15 reader.
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ## plot Lx/Tx data vs dose [s]
#' data(ExampleData.LxTxData, envir = environment())
#' plot(LxTxData$Dose,LxTxData$LxTx)
#'
#' @name ExampleData.LxTxData
#' @aliases LxTxData
NULL

#' Example Lx and Tx curve data from an artificial OSL measurement
#'
#' `Lx` and `Tx` data of continuous wave (CW-) OSL signal curves.
#'
#' @format Two [`data.frame`]s containing time and count values.
#'
#' @references unpublished data
#'
#' @source
#' Arbitrary OSL measurement.
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##load data
#' data(ExampleData.LxTxOSLData, envir = environment())
#'
#' ##plot data
#' plot(Lx.data)
#' plot(Tx.data)
#'
#' @name ExampleData.LxTxOSLData
#' @aliases Lx.data Tx.data
NULL

#' Example equivalent dose data from mortar samples
#'
#' Arbitrary data to test the function `calc_EED_Model`
#'
#' @format Two [`data.frame`]s containing De and De error
#'
#' @references unpublished data
#'
#' @source
#' Arbitrary measurements.
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##load data
#' data(ExampleData.MortarData, envir = environment())
#'
#' ##plot data
#' plot(MortarData)
#'
#' @name ExampleData.MortarData
#' @aliases MortarData
NULL

#' Example data as [RLum.Analysis-class] objects
#'
#' Collection of different [RLum.Analysis-class] objects for
#' protocol analysis.
#'
#' @format
#'
#' `IRSAR.RF.Data`: IRSAR.RF.Data on coarse grain feldspar
#'
#' Each object contains data needed for the given protocol analysis.
#'
#' @section Version: 0.1
#'
#' @references
#' **IRSAR.RF.Data**
#'
#' Kreutzer, S., Lauer, T., Meszner, S., Krbetschek, M.R., Faust, D., Fuchs,
#' M., 2014. Chronology of the Quaternary profile Zeuchfeld in Saxony-Anhalt /
#' Germany - a preliminary luminescence dating study. Zeitschrift fuer
#' Geomorphologie 58, 5-26. doi: 10.1127/0372-8854/2012/S-00112
#'
#' @source **IRSAR.RF.Data**
#'
#' These data were kindly provided by Tobias Lauer and Matthias Krbetschek.
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory TU Bergakademie Freiberg\cr
#' Lab-Code: \tab ZEU/SA1\cr
#' Location: \tab Zeuchfeld (Zeuchfeld Sandur; Saxony-Anhalt/Germany)\cr
#' Material: \tab K-feldspar (130-200 \eqn{\mu}m)\cr
#' Reference: \tab Kreutzer et al. (2014)
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##load data
#' data(ExampleData.RLum.Analysis, envir = environment())
#'
#' ##plot data
#' plot_RLum(IRSAR.RF.Data)
#'
#' @name ExampleData.RLum.Analysis
#' @aliases IRSAR.RF.Data
NULL

#' RF70 Example data as [RLum.Analysis-class] objects
#'
#' Collection two curves from Kreutzer et al. (2018) measured using the RF70 protocol
#' (Frouin et al., 2017) as [RLum.Analysis-class] objects.
#'
#' @format
#'
#' `BDX16648`: [RLum.Analysis-class] with two IR-RF curves as [RLum.Data.Curve-class] objects
#'
#' @section Version: 0.1.0
#'
#' @references
#'
#' Frouin, M., Huot, S., Kreutzer, S., Lahaye, C., Lamothe, M., Philippe, A., Mercier, N., 2017. An improved
#' radiofluorescence single-aliquot regenerative dose protocol for K-feldspars. Quaternary Geochronology 38, 13–24.
#' \doi{10.1016/j.quageo.2016.11.004}
#'
#' Kreutzer, S., Duval, M., Bartz, M., Bertran, P., Bosq, M., Eynaud, F., Verdin, F., Mercier, N., 2018.
#' Deciphering long-term coastal dynamics using IR-RF and ESR dating: A case study from Médoc,
#' south-West France. Quaternary Geochronology 48, 108–120. \doi{10.1016/j.quageo.2018.09.005}
#'
#' @source **RF70Curves**
#'
#' \tabular{ll}{
#' Lab: \tab IRAMAT-CRP2A, CNRS-Université Bordeaux Montaigne, Bordeaux, France\cr
#' Lab-Code: \tab BDX16648\cr
#' Location: \tab Médoc, France (details see reference)\cr
#' Material: \tab K-feldspar (100-200 \eqn{\mu}m)\cr
#' Reference: \tab Kreutzer et al. (2018)
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##load data
#' data(ExampleData.RF70Curves, envir = environment())
#'
#' ##plot data
#' plot_RLum(RF70Curves)
#'
#' @name ExampleData.RF70Curves
#' @aliases RF70Curves
NULL

#' Example data as [RLum.Data.Image-class] objects
#'
#' Measurement of Princton Instruments camera imported with the function
#' [read_SPE2R] to R to produce an
#' [RLum.Data.Image-class] object.
#'
#' @format Object of class [RLum.Data.Image-class]
#'
#' @section Version: 0.1
#'
#' @source
#' **ExampleData.RLum.Data.Image**
#'
#' These data were kindly provided by Regina DeWitt.
#'
#' \tabular{ll}{
#' Lab.: \tab Department of Physics, East-Carolina University, NC, USA\cr
#' Lab-Code: \tab - \cr
#' Location: \tab - \cr
#' Material: \tab - \cr
#' Reference: \tab - \cr
#' }
#'
#' Image data is a measurement of fluorescent ceiling lights with a cooled
#' Princeton Instruments (TM) camera fitted on Risø DA-20 TL/OSL reader.
#'
#' @keywords datasets
#'
#' @examples
#'
#' ##load data
#' data(ExampleData.RLum.Data.Image, envir = environment())
#'
#' ##plot data
#' plot_RLum(ExampleData.RLum.Data.Image)
#'
#' @name ExampleData.RLum.Data.Image
NULL

#' Example data for a SAR OSL measurement and a TL spectrum using a lexsyg
#' reader
#'
#' Example data from a SAR OSL measurement and a TL spectrum for package
#' Luminescence imported from a Freiberg Instruments XSYG file using the
#' function [read_XSYG2R].
#'
#' @format
#'
#' `OSL.SARMeasurement`: SAR OSL measurement data
#'
#' The data contain two elements: (a) `$Sequence.Header` is a
#' [data.frame] with metadata from the measurement,(b)
#' `Sequence.Object` contains an [RLum.Analysis-class] object
#' for further analysis.
#'
#' `TL.Spectrum`: TL spectrum data
#'
#' [RLum.Data.Spectrum-class] object for further analysis. The
#' spectrum was cleaned from cosmic-rays using the function
#'
#' `apply_CosmicRayRemoval`. Note that no quantum efficiency calibration
#' was performed.
#'
#' @section Version: 0.1
#'
#' @seealso [read_XSYG2R], [RLum.Analysis-class], [RLum.Data.Spectrum-class],
#' [plot_RLum], [plot_RLum.Analysis], [plot_RLum.Data.Spectrum]
#'
#' @references
#' Unpublished data measured to serve as example data for that
#' package. Location origin of sample BT753 is given here:
#'
#' Fuchs, M., Kreutzer, S., Rousseau, D.D., Antoine, P., Hatte, C., Lagroix,
#' F., Moine, O., Gauthier, C., Svoboda, J., Lisa, L., 2013. The loess sequence
#' of Dolni Vestonice, Czech Republic: A new OSL-based chronology of the Last
#' Climatic Cycle. Boreas, 42, 664--677.
#'
#' @source
#' **OSL.SARMeasurement**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Giessen\cr
#' Lab-Code: \tab no code\cr
#' Location: \tab not specified\cr
#' Material: \tab Coarse grain quartz  on steel cups on lexsyg research reader\cr
#' Reference: \tab unpublished
#' }
#'
#' **TL.Spectrum**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Giessen\cr
#' Lab-Code: \tab BT753\cr
#' Location: \tab Dolni Vestonice/Czech Republic\cr
#' Material: \tab Fine grain polymineral on steel cups on lexsyg research reader\cr
#' Reference: \tab Fuchs et al., 2013 \cr
#' Spectrum: \tab Integration time 19 s, channel time 20 s\cr
#' Heating: \tab 1 K/s, up to 500 deg. C
#' }
#'
#' @keywords datasets internal
#'
#' @examples
#' ##show data
#' data(ExampleData.XSYG, envir = environment())
#'
#' ## =========================================
#' ##(1) OSL.SARMeasurement
#' OSL.SARMeasurement
#'
#' ##show $Sequence.Object
#' OSL.SARMeasurement$Sequence.Object
#'
#' ##grep OSL curves and plot the first curve
#' OSLcurve <- get_RLum(OSL.SARMeasurement$Sequence.Object,
#' recordType="OSL")[[1]]
#' plot_RLum(OSLcurve)
#'
#' ## =========================================
#' ##(2) TL.Spectrum
#' TL.Spectrum
#'
#' ##plot simple spectrum (2D)
#' plot_RLum.Data.Spectrum(TL.Spectrum,
#'                         plot.type="contour",
#'                         xlim = c(310,750),
#'                         ylim = c(0,300),
#'                         bin.rows=10,
#'                         bin.cols = 1)
#'
#' ##plot 3d spectrum (uncomment for usage)
#' # plot_RLum.Data.Spectrum(TL.Spectrum, plot.type="persp",
#' # xlim = c(310,750), ylim = c(0,300), bin.rows=10,
#' # bin.cols = 1)
#'
#' @name ExampleData.XSYG
#' @aliases OSL.SARMeasurement TL.Spectrum
NULL

#' Example De data sets for the package Luminescence
#'
#' Equivalent dose (De) values measured for a fine grain quartz sample from a
#' loess section in Rottewitz (Saxony/Germany) and for a coarse grain quartz
#' sample from a fluvial deposit in the rock shelter of Cueva Anton
#' (Murcia/Spain).
#'
#' @format A [list] with two elements, each containing a two column [data.frame]:
#'
#' \describe{
#' `$BT998`: De and De error values for a fine grain quartz
#' sample from a loess section in Rottewitz.
#'
#' `$CA1`: Single grain De
#' and De error values for a coarse grain quartz sample from a fluvial deposit
#' in the rock shelter of Cueva Anton
#' }
#'
#' @references
#'  **BT998**
#'
#' Unpublished data
#'
#' **CA1**
#'
#' Burow, C., Kehl, M., Hilgers, A., Weniger, G.-C., Angelucci, D., Villaverde,
#' V., Zapata, J. and Zilhao, J.  (2015). Luminescence dating of fluvial
#' deposits in the rock shelter of Cueva Anton, Spain. Geochronometria 52, 107-125.
#'
#' **BT998**
#'
#' \tabular{ll}{
#' Lab: \tab Luminescence Laboratory Bayreuth\cr
#' Lab-Code: \tab BT998\cr
#' Location: \tab Rottewitz (Saxony/Germany)\cr
#' Material: \tab Fine grain quartz measured on aluminium discs on a Risø TL/OSL DA-15 reader\cr
#' Units: \tab Values are given in seconds \cr
#' Dose Rate: \tab Dose rate of the beta-source at measurement ca. 0.0438 Gy/s +/- 0.0019 Gy/s\cr
#' Measurement Date: \tab 2012-01-27
#' }
#'
#' **CA1**
#'
#' \tabular{ll}{
#' Lab: \tab Cologne Luminescence Laboratory (CLL)\cr
#' Lab-Code: \tab C-L2941\cr
#' Location: \tab Cueva Anton (Murcia/Spain)\cr
#' Material: \tab Coarse grain quartz (200-250 microns) measured on single grain discs on a Risoe TL/OSL DA-20 reader\cr
#' Units: \tab Values are given in Gray \cr
#' Measurement Date: \tab 2012
#' }
#'
#' @keywords datasets
#'
#' @examples
#'
#' ##(1) plot values as histogram
#' data(ExampleData.DeValues, envir = environment())
#' plot_Histogram(ExampleData.DeValues$BT998, xlab = "De [s]")
#'
#' ##(2) plot values as histogram (with second to gray conversion)
#' data(ExampleData.DeValues, envir = environment())
#'
#' De.values <- convert_Second2Gray(ExampleData.DeValues$BT998,
#'                          dose.rate = c(0.0438, 0.0019))
#'
#' plot_Histogram(De.values, xlab = "De [Gy]")
#'
#' @name ExampleData.DeValues
NULL

#' Example data for feldspar fading measurements
#'
#' Example data set for fading measurements of the IR50, IR100, IR150 and
#' IR225 feldspar signals of sample UNIL/NB123. It further contains regular equivalent dose
#' measurement data of the same sample, which can be used to apply a
#' fading correction to.
#'
#' @format A [list] with two elements, each containing a further [list] of
#' [data.frame]s containing the data on the fading and equivalent dose measurements:
#'
#' \describe{
#' `$fading.data`: A named [list] of [data.frame]s,
#' each having three named columns (`LxTx, LxTx.error, timeSinceIrradiation`).\cr
#' `..$IR50`: Fading data of the IR50 signal.\cr
#' `..$IR100`: Fading data of the IR100 signal.\cr
#' `..$IR150`: Fading data of the IR150 signal.\cr
#' `..$IR225`: Fading data of the IR225 signal.\cr
#'
#' `$equivalentDose.data`: A named of [data.frame]s,
#' each having three named columns (`dose, LxTx, LxTx.error`).\cr
#' `..$IR50`: Equivalent dose measurement data of the IR50 signal.\cr
#' `..$IR100`: Equivalent dose measurement data of the IR100 signal.\cr
#' `..$IR150`: Equivalent dose measurement data of the IR150 signal.\cr
#' `..$IR225`: Equivalent dose measurement data of the IR225 signal.\cr
#' }
#'
#' @source
#'
#' These data were kindly provided by Georgina E. King. Detailed information
#' on the sample UNIL/NB123 can be found in the reference given below. The raw
#' data can be found in the accompanying supplementary information.
#'
#' @references
#'
#' King, G.E., Herman, F., Lambert, R., Valla, P.G., Guralnik, B., 2016.
#' Multi-OSL-thermochronometry of feldspar. Quaternary Geochronology 33, 76-87.
#' doi:10.1016/j.quageo.2016.01.004
#'
#' **Details**
#'
#' \tabular{ll}{
#' Lab: \tab University of Lausanne \cr
#' Lab-Code: \tab UNIL/NB123 \cr
#' Location: \tab Namche Barwa (eastern Himalayas)\cr
#' Material: \tab Coarse grained (180-212 microns) potassium feldspar \cr
#' Units: \tab Values are given in seconds \cr
#' Lab Dose Rate: \tab Dose rate of the beta-source at measurement ca. 0.1335 +/- 0.004 Gy/s \cr
#' Environmental Dose Rate: \tab 7.00 +/- 0.92 Gy/ka (includes internal dose rate)
#' }
#'
#' @keywords datasets
#'
#' @examples
#'
#' ## Load example data
#' data("ExampleData.Fading", envir = environment())
#'
#' ## Get fading measurement data of the IR50 signal
#' IR50_fading <- ExampleData.Fading$fading.data$IR50
#' head(IR50_fading)
#'
#' ## Determine g-value and rho' for the IR50 signal
#' IR50_fading.res <- analyse_FadingMeasurement(IR50_fading)
#'
#' ## Show g-value and rho' results
#' gval <- get_RLum(IR50_fading.res)
#' rhop <- get_RLum(IR50_fading.res, "rho_prime")
#'
#' gval
#' rhop
#'
#' ## Get LxTx values of the IR50 DE measurement
#' IR50_De.LxTx <- ExampleData.Fading$equivalentDose.data$IR50
#'
#' ## Calculate the De of the IR50 signal
#' IR50_De <- fit_DoseResponseCurve(IR50_De.LxTx,
#'                                 mode = "interpolation",
#'                                 fit.method = "EXP")
#'
#' ## Extract the calculated De and its error
#' IR50_De.res <- get_RLum(IR50_De)
#' De <- c(IR50_De.res$De, IR50_De.res$De.Error)
#'
#' ## Apply fading correction (age conversion greatly simplified)
#' IR50_Age <- De / 7.00
#' IR50_Age.corr <- calc_FadingCorr(IR50_Age, g_value = IR50_fading.res)
#'
#' @name ExampleData.Fading
NULL

#' Example OSL surface exposure dating data
#'
#' A set of synthetic OSL surface exposure dating data to demonstrate the
#' [fit_SurfaceExposure] functionality. See examples to reproduce the data
#' interactively.
#'
#' @details
#'
#' **`$sample_1`**
#'
#' \tabular{ccc}{
#' **mu** \tab **`sigmaphi`** \tab **age** \cr
#'   0.9 \tab 5e-10 \tab 10000 \cr
#' }
#'
#' **`$sample_2`**
#'
#' \tabular{ccccc}{
#' **mu** \tab **`sigmaphi`** \tab **age** \tab **Dose rate** \tab **D0** \cr
#'   0.9 \tab 5e-10 \tab 10000 \tab 2.5 \tab 40 \cr
#' }
#'
#' **`$set_1`**
#'
#' \tabular{ccc}{
#' **mu** \tab **`sigmaphi`** \tab **ages** \cr
#'   0.9 \tab 5e-10 \tab 1e3, 1e4, 1e5, 1e6 \cr
#' }
#'
#' **`$set_2`**
#'
#' \tabular{ccccc}{
#' **mu** \tab **`sigmaphi`** \tab **ages** \tab **Dose rate** \tab **D0** \cr
#'   0.9 \tab 5e-10 \tab 1e2, 1e3, 1e4, 1e5, 1e6 \tab 1.0 \tab 40 \cr
#' }
#'
#' @format A [list] with 4 elements:
#'
#' \tabular{ll}{
#' **Element** \tab **Content** \cr
#' `$sample_1` \tab A [data.frame] with 3 columns (depth, intensity, error) \cr
#' `$sample_2` \tab A [data.frame] with 3 columns (depth, intensity, error) \cr
#' `$set_1` \tab A [list] of 4 [data.frame]s, each representing a sample with different ages \cr
#' `$set_2` \tab A [list] of 5 [data.frame]s, each representing a sample with different ages \cr
#' }
#'
#' @references Unpublished synthetic data
#'
#' @source
#'
#' See examples for the code used to create the data sets.
#'
#' @examples
#'
#' ## ExampleData.SurfaceExposure$sample_1
#' sigmaphi <- 5e-10
#' age <- 10000
#' mu <- 0.9
#' x <- seq(0, 10, 0.1)
#' fun <- exp(-sigmaphi * age * 365.25*24*3600 * exp(-mu * x))
#'
#' set.seed(666)
#' synth_1 <- data.frame(depth = x,
#'                       intensity = jitter(fun, 1, 0.1),
#'                       error = runif(length(x), 0.01, 0.2))
#'
#' ## VALIDATE sample_1
#' fit_SurfaceExposure(synth_1, mu = mu, sigmaphi = sigmaphi)
#'
#'
#' ## ExampleData.SurfaceExposure$sample_2
#' sigmaphi <- 5e-10
#' age <- 10000
#' mu <- 0.9
#' x <- seq(0, 10, 0.1)
#' Ddot <- 2.5   / 1000 / 365.25 / 24 / 60 / 60 # 2.5 Gy/ka in Seconds
#' D0 <- 40
#' fun <- (sigmaphi * exp(-mu * x) *
#'           exp(-(age * 365.25*24*3600) *
#'                 (sigmaphi * exp(-mu * x) + Ddot/D0)) + Ddot/D0) /
#'   (sigmaphi * exp(-mu * x) + Ddot/D0)
#'
#' set.seed(666)
#' synth_2 <- data.frame(depth = x,
#'                       intensity = jitter(fun, 1, 0.1),
#'                       error = runif(length(x), 0.01, 0.2))
#'
#' ## VALIDATE sample_2
#' fit_SurfaceExposure(synth_2, mu = mu, sigmaphi = sigmaphi, Ddot = 2.5, D0 = D0)
#'
#'
#' ## ExampleData.SurfaceExposure$set_1
#' sigmaphi <- 5e-10
#' mu <- 0.9
#' x <- seq(0, 15, 0.2)
#' age <- c(1e3, 1e4, 1e5, 1e6)
#' set.seed(666)
#'
#' synth_3 <- vector("list", length = length(age))
#'
#' for (i in 1:length(age)) {
#'   fun <- exp(-sigmaphi * age[i] * 365.25*24*3600 * exp(-mu * x))
#'   synth_3[[i]] <- data.frame(depth = x,
#'                              intensity = jitter(fun, 1, 0.05))
#' }
#'
#'
#' ## VALIDATE set_1
#' fit_SurfaceExposure(synth_3, age = age, sigmaphi = sigmaphi)
#'
#'
#' ## ExampleData.SurfaceExposure$set_2
#' sigmaphi <- 5e-10
#' mu <- 0.9
#' x <- seq(0, 15, 0.2)
#' age <- c(1e2, 1e3, 1e4, 1e5, 1e6)
#' Ddot <- 1.0 / 1000 / 365.25 / 24 / 60 / 60 # 2.0 Gy/ka in Seconds
#' D0 <- 40
#' set.seed(666)
#'
#' synth_4 <- vector("list", length = length(age))
#'
#' for (i in 1:length(age)) {
#'   fun <- (sigmaphi * exp(-mu * x) *
#'             exp(-(age[i] * 365.25*24*3600) *
#'                   (sigmaphi * exp(-mu * x) + Ddot/D0)) + Ddot/D0) /
#'     (sigmaphi * exp(-mu * x) + Ddot/D0)
#'
#'   synth_4[[i]] <- data.frame(depth = x,
#'                              intensity = jitter(fun, 1, 0.05))
#' }
#'
#'
#' ## VALIDATE set_2
#' fit_SurfaceExposure(synth_4, age = age, sigmaphi = sigmaphi, D0 = D0, Ddot = 1.0)
#'
#' \dontrun{
#' ExampleData.SurfaceExposure <- list(
#'   sample_1 = synth_1,
#'   sample_2 = synth_2,
#'   set_1 = synth_3,
#'   set_2 = synth_4
#' )
#' }
#'
#' @keywords datasets
#' @name ExampleData.SurfaceExposure
NULL

#' Example Al2O3:C Measurement Data
#'
#' Measurement data obtained from measuring Al2O3:C chips at the IRAMAT-CRP2A, Université Bordeaux
#' Montaigne in 2017 on a Freiberg Instruments lexsyg SMART reader.
#' The example data used in particular to allow test of the functions
#' developed in framework of the work by Kreutzer et al., 2018.
#'
#' @format Two datasets comprising [RLum.Analysis-class] data imported using the function [read_XSYG2R]
#'
#' \describe{
#' `data_ITC`: Measurement data to determine the irradiation time correction, the data can
#' be analysed with the function [analyse_Al2O3C_ITC]
#'
#' `data_CrossTalk`: Measurement data obtained while estimating the irradiation cross-talk of the
#' reader used for the experiments. The data can be analysed either with the function
#' [analyse_Al2O3C_CrossTalk] or [analyse_Al2O3C_Measurement]
#' }
#'
#' @note From both datasets unneeded curves have been removed and
#' the number of aliquots have been reduced to a required minimum to keep the file size small, but
#' still being able to run the corresponding functions.
#'
#' @seealso [analyse_Al2O3C_ITC], [analyse_Al2O3C_CrossTalk], [analyse_Al2O3C_Measurement]
#'
#' @references Kreutzer, S., Martin, L., Guérin, G., Tribolo, C., Selva, P., Mercier, N., 2018.
#' Environmental Dose Rate Determination Using a Passive Dosimeter: Techniques and Workflow for alpha-Al2O3:C Chips.
#' Geochronometria 45, 56–67.
#'
#' @keywords datasets internal
#'
#' @examples
#'
#' ##(1) curves
#' data(ExampleData.Al2O3C, envir = environment())
#' plot_RLum(data_ITC[1:2])
#'
#' @name ExampleData.Al2O3C
#' @aliases data_CrossTalk data_ITC
NULL

#' Example TR-OSL data
#'
#' Single TR-OSL curve obtained by Schmidt et al. (2019) for quartz sample BT729
#' (origin: Trebgast Valley, Germany, quartz, 90-200 µm, unpublished data).
#'
#' @format One [RLum.Data.Curve-class] dataset imported using the function [read_XSYG2R]
#'
#' \describe{
#' `ExampleData.TR_OSL`: A single [RLum.Data.Curve-class] object with the TR-OSL data
#' }
#'
#' @seealso [fit_OSLLifeTimes]
#'
#' @references Schmidt, C., Simmank, O., Kreutzer, S., 2019.
#' Time-Resolved Optically Stimulated Luminescence of Quartz in the Nanosecond Time Domain.
#' Journal of Luminescence 213, 376-387.
#'
#' @keywords datasets
#'
#' @examples
#'
#' ##(1) curves
#' data(ExampleData.TR_OSL, envir = environment())
#' plot_RLum(ExampleData.TR_OSL)
#'
#' @name ExampleData.TR_OSL
NULL

#' Collection of External Data
#'
#' @description Description and listing of data provided in the folder `data/extdata`
#'
#' @details
#' The **R** package `Luminescence` includes a number of raw data files, which are mostly used in
#' the example sections of appropriate functions. They are also used internally for testing corresponding
#' functions using the `testthat` package (see files in `tests/testthat/`) to ensure their operational
#' reliability.
#'
#' **Accessibility**
#'
#' If the **R** package `Luminescence` is installed correctly the preferred way to access and use these
#' data from within **R** is as follows:
#'
#'  `system.file("extdata/<FILENAME>", package = "Luminescence")`
#'
#' **Individual file descriptions**
#'
#' *>>Daybreak_TestFile.DAT.txt<<*
#'
#' **Type:** raw measurement data \cr
#' **Device:** Daybreak OSL/TL reader\cr
#' **Measurement date:** unknown\cr
#' **Location:** unknown\cr
#' **Provided by:** unknown\cr
#' **Related R function(s):** `read_Daybreak2R()`\cr
#' **Reference:** unknown
#'
#' *>>DorNie_0016.psl<<*
#'
#' **Type:** raw measurement data \cr
#' **Device:** SUERC portable OSL reader \cr
#' **Measurement date:** 19/05/2016 \cr
#' **Location:** Dormagen-Nievenheim, Germany \cr
#' **Provided by:** Christoph Burow (University of Cologne) \cr
#' **Related R function(s):** `read_PSL2R()` \cr
#' **Reference:** unpublished \cr
#' **Additional information:** Sample measured at an archaeological site near \cr
#'  Dormagen-Nievenheim (Germany) during a practical course on Luminescence dating in 2016. \cr
#'
#' *>>QNL84_2_bleached.txt*, *QNL84_2_unbleached.txt<<*
#'
#' **Type:** Test data for exponential fits \cr
#' **Reference:** Berger, G.W., Huntley, D.J., 1989. Test data for exponential fits. Ancient TL 7, 43-46. \doi{10.26034/la.atl.1989.150}\cr
#'
#'
#' *>>STRB87_1_bleached.txt*, *STRB87_1_unbleached.txt<<*
#'
#' **Type:** Test data for exponential fits \cr
#' **Reference:** Berger, G.W., Huntley, D.J., 1989. Test data for exponential fits. Ancient TL 7, 43-46. \doi{10.26034/la.atl.1989.150}
#'
#' *>>XSYG_file.xsyg*
#'
#' **Type:** XSYG-file stump \cr
#' **Info:** XSYG-file with some basic curves to test functions \cr
#' **Reference:** no reference available
#'
#' @keywords datasets
#' @name extdata
NULL
