Published September 7, 2020
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Code & Data: Deep learning for time series classification in ecology.
- 1. University of Lisbon
- 2. New University of Lisbon
- 3. University of South Florida
- 4. Netherlands eScience Center
Description
Code and data sets for the three case studies reported in the research paper. Original data for case study #1 came from Potamitis et al., (2015) and for case study #2 from Capinha (2019) [See References].
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Files
Code_and_Data_Capinha_et_al.zip
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(33.1 MB)
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Additional details
References
- Capinha, C. (2019). Predicting the timing of ecological phenomena using dates of species occurrence records: a methodological approach and test case with mushrooms. International Journal of Biometeorology, 63(8), 1015-1024.
- Potamitis I, Rigakis I, Fysarakis K (2015) Insect Biometrics: Optoacoustic Signal Processing and Its Applications to Remote Monitoring of McPhail Type Traps. PLoS ONE 10(11): e0140474. https://doi.org/10.1371/journal.pone.0140474