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Erschienen in: Earth Science Informatics 4/2019

19.06.2019 | Software Article

A web-based platform for terrestrial data repository from Chicken Creek catchment

verfasst von: Davood Moghadas, Wolfgang Schaaf, Werner Gerwin, Annika Badorreck, Reinhard F. Hüttl

Erschienen in: Earth Science Informatics | Ausgabe 4/2019

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Abstract

Exploring hydrological and ecological processes plays a key role in understanding ecosystem developments. In this respect, the constructed catchment, Chicken Creek, has been established for fundamental and interdisciplinary scientific research. Since 2005, an ongoing monitoring program has been launched to measure hydrological, biological, meteorological, and pedological parameters during the ecological development of the site. This comprehensive and multidisciplinary monitoring program has produced a diverse large data set. Handling such complex data for research purposes can be a cumbersome task. Consequently, we developed an online data portal (https://​www.​b-tu.​de/​chicken-creek/​apps/​datenportal/​) to efficiently handle the data from Chicken Creek catchment. The portal was constructed using Shiny package of the R programming language. This platform provides a web-based data repository allowing for data discovery, download, visualization, and analysis. The data include time series of different parameters from installed sensors, data from laboratory analyses, vegetation data, data from sampling campaigns, and aerial photos. This platform demonstrates the relevancy and potentiality of the R-Shiny for constructing an online data portal to be used for multidisciplinary scientific purposes. The Chicken Creek data portal thus provides a comprehensive and reliable database to give scientists a fast and easy access to all collected data.

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Metadaten
Titel
A web-based platform for terrestrial data repository from Chicken Creek catchment
verfasst von
Davood Moghadas
Wolfgang Schaaf
Werner Gerwin
Annika Badorreck
Reinhard F. Hüttl
Publikationsdatum
19.06.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Earth Science Informatics / Ausgabe 4/2019
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-019-00385-0

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