Views provided by UsageCounts
A reproducible analysis of environmental data - from hardware to interactive map! This repository contains the workspace, data, and code for analysing particulates measured by senseBoxes at New Year's Eve 2017/18 in Münster, Germany. It is a showcase for the transparency and potential of Open Hardware, Open Data, Free and Open Source Software, and Open Science. The analysis is written in R Markdown and can be easily explored thanks to Jupyter Notebook+RStudio embedded in a Docker image - see file README.md for full instructions.
Data license: Public Domain Dedication and License 1.0; Contributed code license: Apache License 2.0, see respective used software licenses for included libraries and tools; Text and documentation license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Docker, open science, particulates, BinderHub, reproducible research, rstats, reproducibility, air quality
Docker, open science, particulates, BinderHub, reproducible research, rstats, reproducibility, air quality
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 |

Views provided by UsageCounts