Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

GNIPDataDE

Hydrogen delta values in precipitation water, Germany


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 (http://www-naweb.iaea.org/napc/ih/IHS_resources_isohis.html).

Format

The dataframe includes 8591 observations on the following variables:

[, 1] lat (numeric) Latitude coordinate [decimal degrees]
[, 2] long (numeric) Longitude coordinate [decimal degrees]
[, 3] elev (numeric) Elevation asl [m]
[, 4] source_value (numeric) hydrogen delta value [per thousand]
[, 5] year (numeric) Year of sampling
[, 6] month (numeric) Month of sampling
[, 7] source_ID (Factor) The unique identifier of the weather station

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.

Source

Data provided by the IAEA.

References

GNIP Project IAEA Global Network of Isotopes in Precipitation: 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.

See Also

prepsources to prepare the dataset for the analyses and to filter by time and location.

Examples

head(GNIPDataDE)

IsoriX

Isoscape Computation and Inference of Spatial Origins using Mixed Models

v0.8.2
GPL (>= 2)
Authors
Alexandre Courtiol [aut, cre] (<https://orcid.org/0000-0003-0637-2959>), François Rousset [aut] (<https://orcid.org/0000-0003-4670-0371>), Marie-Sophie Rohwaeder [aut], Stephanie Kramer-Schadt [aut] (<https://orcid.org/0000-0002-9269-4446>)
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.