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WHONDRS-GUI: a web application for global survey of surface water metabolites.

Authors :
Xinming Lin
Huiying Ren
Goldman, Amy E.
Stegen, James C.
Scheibe, Timothy D.
Source :
PeerJ; Jul2020, p1-11, 11p
Publication Year :
2020

Abstract

Background. The Worldwide Hydrobiogeochemistry Observation Network for Dy- namic River Systems (WHONDRS) is a consortium that aims to understand com- plex hydrologic, biogeochemical, and microbial connections within river corridors experiencing perturbations such as dam operations, floods, and droughts. For one ongoing WHONDRS sampling campaign, surface water metabolite and microbiome samples are collected through a global survey to generate knowledge across diverse river corridors. Metabolomics analysis and a suite of geochemical analyses have been performed for collected samples through the Environmental Molecular Sciences Laboratory (EMSL). The obtained knowledge and data package inform mechanistic and data-driven models to enhance predictions of outcomes of hydrologic perturbations and watershed function, one of the most critical components in model-data integration. To support efforts of the multi-domain integration and make the ever-growing data package more accessible for researchers across the world, a Shiny/R Graphical User Interface (GUI) called WHONDRS-GUI was created. Results. The web application can be run on any modern web browser without any programming or operational system requirements, thus providing an open, well- structured, discoverable dataset for WHONDRS. Together with a context-aware dy- namic user interface, the WHONDRS-GUI has functionality for searching, compiling, integrating, visualizing and exporting different data types that can easily be used by the community. The web application and data package are available at https://data. ess-dive.lbl.gov/view/doi:10.15485/1484811, which enables users to simultaneously obtain access to the data and code and to subsequently run the web app locally. The WHONDRS-GUI is also available for online use at Shiny Server (https://xmlin. shinyapps.io/whondrs/). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21678359
Database :
Complementary Index
Journal :
PeerJ
Publication Type :
Academic Journal
Accession number :
145277176
Full Text :
https://doi.org/10.7717/peerj.9277