Additional file 2 of Wearable reproductive trackers: quantifying a key life history event remotely
Creators: name: Ozsanlav-Harris, Luke
name: Griffin, Larry R.
name: Weegman, Mitch D.
name: Cao, Lei
name: Hilton, Geoff M.
name: Bearhop, Stuart
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Evolutionary Biology
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Plant Biology

description: Additional file 2: Additional plots and tables to support results section. Figure S2. Quantile values from training data. Quantile values extracted from the training set of known breeders for incubation and non-incubation days during the breeding season. The daily values were pooled across all individuals and the 97.5th and 2.5th quantiles calculated for incubation and non-incubation days. The classification and scores in brackets relate to how individuals with unknown breeding status were scored in the classifier. Table S1. Precision and recall values: joint classifier 3s burst. The precision and recall values when classifying avian incubation events using a joint classifier across a variety of sampling schedules for accelerometer data (ODBA interval) and GPS data (GPS interval). The results are shown for a 3 s accelerometer burst. Darker shading indicates larger values and, therefore, a more accurate classification. Table S2. Precision and recall values: joint classifier 2s burst. The precision and recall values when classifying avian incubation events using a joint classifier across a variety of sampling schedules for accelerometer data (ODBA interval) and GPS data (GPS interval). The results are shown for a 2 s accelerometer burst. Darker shading indicates larger values and, therefore, a more accurate classification. Table S3. Precision and recall values: joint classifier 1s burst. The precision and recall values when classifying avian incubation events using a joint classifier across a variety of sampling schedules for accelerometer data (ODBA interval) and GPS data (GPS interval). The results are shown for a 1 s accelerometer burst. Darker shading indicates larger values and, therefore, a more accurate classification. Table S4. Additional incubation form joint classifier. The number of additional incubation classified, in comparison to the reference incubations, using a joint classifier across a variety of sampling schedules for accelerometer data (ODBA interval) and GPS data (GPS interval). The results are shown for a 3, 2 and 1 s accelerometer bursts. Darker shading indicates larger values and, therefore, a more additional incubations. Table S5. Average days misclassified. The average number of days misclassified per individual breeding season, in comparison to the reference incubations, using a joint classifier across a variety of sampling schedules for accelerometer data (ODBA interval) and GPS data (GPS interval). The results are grouped by the outcome of the individual breeding season in the reference sample, i.e., ‘1–5 days’ is a 1–5 day incubation in the reference sample. Darker shading indicates larger values and, therefore, a greater misclassification rate. Table S6. Precision and recall GPS only classifier. The precision and recall values when classifying avian incubation events using a GPS only classifier across a variety of sampling schedules for the GPS data (GPS interval). Darker shading indicates larger values and, therefore, a more accurate classification. Table S7. Precision and recall ACC only classifier. The precision and recall values when classifying avian incubation events using an Accelerometer only classifier across a variety of sampling schedules for the ODBA data (ODBA interval) and length of the accelerometer burst (Burst length). Darker shading indicates larger values and, therefore, a more accurate classification.