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Data from Participatory research to monitor lake water pollution Authors: Rachel Aronoff(1*), Anna Dussuet(1,2**) Roger Erismann(1,3), Shannon Erismann(3), Luc Patiny(1,2) and Carlos Vivar-Rios(1,4) Affiliations: 1) Hackuarium, Ecublens, Switzerland. 2) EPFL, Lausanne, Switzerland. 3) Hammerdirt, La Tour-de-Peilz, Switzerland. 4) UNIL, Lausanne, Switzerland. * corresponding author: biolab@hackuarium.ch ** currently at Integra LifeSciences Article DOI: 10.1002/2688-8319.12094 Article: Participatory research to monitor lake water pollution Journal: Ecological Solutions and Evidence This Zenodo Repository includes data for: images - microbial plates and more, from 2016, 2017 and 2020. sequences - in particular the 16S results to ID bacteria, provided in a zipped folder: MCBP_Sequences.zip analysis tool items for quantitation and statistics and the data repository from the GitHub repo: https://github.com/Hackuarium/montreux-water-quality
bioindicator, citizen science, Do-It-Together (DIT) research, environmental monitoring, microbiology, water sampling
bioindicator, citizen science, Do-It-Together (DIT) research, environmental monitoring, microbiology, water sampling
| 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 |
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