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Data from: Dynamic species classification of microorganisms across time, abiotic and biotic environments - a sliding window approach

dataset
posted on 20.04.2017, 07:33 by Frank PennekampFrank Pennekamp, Jason I. Griffiths, Emanuel A. Fronhofer, Aurélie Garnier, Mathew Seymour, Florian Altermatt, Owen L. Petchey
The following datasets were used for the analyses presented in the publication called "Dynamic species classification of microorganisms across time, abiotic and biotic environments --- a sliding window approach".

Mixed models and figure 5:
* Logistic regression across temperature and species richness (LR_all_class_data.csv)
* Four datasets for the logistic regressions using subsets of species, temperatures, time and number of trajectories
(LR_[sp, temp, ws, trjs]_data.csv)

Comparing automatic and manual counts & Figure 6:
* The comparison between the RF classifier and manual identification (Automatic_RF_id.csv & Manual_id.csv)
* The comparison between RF, NB and SVM classifier and manual identifications (NB_SVM_RF_id.csv & Manual_id.csv)

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