Published September 7, 2020 | Version 1.0.0
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Code & Data: Deep learning for time series classification in ecology.

Authors/Creators

  • 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].

Notes

CC and ACH were supported by Portuguese National Funds through Fundação para a Ciência e a Tecnologia (CC: CEECIND/02037/2017, UIDB/00295/2020 and UIDP/00295/2020; ACH: PTDC/SAU-PUB/30089/2017 and GHTM‐UID/Multi/04413/2013).

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Code_and_Data_Capinha_et_al.zip

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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