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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2016
License: CC BY
Data sources: ZENODO
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Water Levels In Upperaustria

Authors: Roman V;

Water Levels In Upperaustria

Abstract

This project uses the data about water levels in Upperaustria from https://www.data.gv.at/katalog/dataset/a3077ec9-a1a5-47bc-b065-08f9baba404e and tries to visualize the changes of the water levels in the last few days. It also alerts (simple output) if there were big increases in the water levels at one location. To execute the application you need a folder with the name "ogw_csv" with the extracted data from the data.gv.at and a ogw_liste.csv in the same directory. You can use the current version, but you can also create the file on your own from the ogw_liste.xlsx from data.gv.at. Then you can run the java application with the command "java -jar wasserpegel.jar <path to ogw_csv/ogw_liste.csv>". It will then generate a data.csv and a graph.png in the path added as first argument. The graph will show the difference in water levels over the last few days, based on the input data. If you want to re-execute an experiment you need the same input data. Then the application will generate the same output data and the same graph. Data used from Land Oberöstereich https://www.data.gv.at/katalog/dataset/a3077ec9-a1a5-47bc-b065-08f9baba404e

Keywords

water level, upperaustria, open data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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