% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/IsoriX-dataset.R
\docType{data}
\name{GNIPDataDE}
\alias{GNIPDataDE}
\title{Hydrogen delta values in precipitation water, Germany}
\format{
The *dataframe* includes 8591 observations on the following
variables: \tabular{rlll}{
[, 1] \tab lat \tab (*numeric*) \tab Latitude coordinate (decimal degrees)\cr
[, 2] \tab long \tab (*numeric*) \tab Longitude coordinate (decimal degrees)\cr
[, 3] \tab elev \tab (*numeric*) \tab Elevation asl (m)\cr
[, 4] \tab source_value \tab (*numeric*) \tab hydrogen delta value (per thousand)\cr
[, 5] \tab year \tab (*numeric*) \tab Year of sampling\cr
[, 6] \tab month \tab (*numeric*) \tab Month of sampling\cr
[, 7] \tab source_ID \tab (*factor*) \tab The unique identifier of the weather station\cr }
}
\source{
Data provided by the IAEA.
}
\description{
This dataset contains the hydrogen delta value from
precipitation water sampled at weather stations between 1961 and 2013 in
Germany. These data have been kindly provided by Christine Stumpp and
processed by the International Atomic Energy Agency IAEA in Vienna (GNIP
Project: Global Network of Isotopes in Precipitation). These data are free to
reuse provided the relevant citations (see references). These data represent
a small sample of the much larger dataset compiled by the GNIP. We no longer
provide larger GNIP dataset in the package as those are not free to reuse (but
we do provide aggregated verisons of it; see [GNIPDataEUagg]).
You can still download the complete GNIP dataset for free, but you will have
to proceed to a registration process with GNIP and use their downloading
interface WISER (\url{http://www-naweb.iaea.org/napc/ih/IHS_resources_isohis.html}).
}
\details{
The dataset contains non-aggregated data for 27 weather stations across Germany.

This dataset is the raw data source and should not be directly used for
fitting isoscapes.

Please use [prepsources] to filter the dataset by time and
location.

If you want to use your own dataset, you must format your data as those
produced by the function [prepsources].
}
\examples{

head(GNIPDataDE)

}
\references{
GNIP Project IAEA Global Network of Isotopes in Precipitation: \url{https://www.iaea.org}

Stumpp, C., Klaus, J., & Stichler, W. (2014). Analysis of long-term stable isotopic composition in German precipitation. Journal of hydrology, 517, 351-361.

Klaus, J., Chun, K. P., & Stumpp, C. (2015). Temporal trends in d18O composition of precipitation in Germany: insights from time series modelling and trend analysis. Hydrological Processes, 29(12), 2668-2680.
}
\seealso{
[prepsources] to prepare the dataset for the analyses and
to filter by time and location.
}
\keyword{datasets}
