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共检索到73条 ,权限内显示50条;
Data from: A comparison of techniques for classifying behaviour from accelerometers for two species of seabird
- 负责人：
- Patterson, Allison
- DOI：
- doi:10.5061/dryad.2hf101c
- 摘要：
- with more than two (kittiwakes) or three (murres) variables. We conclude that simple methods of behavioral classification can be as accurate for classifying
Data from: Behavioral classification of low frequency acceleration and temperature data from a free ranging small mammal
- 负责人：
- Studd, Emily
- 关键词：
- DOI：
- doi:10.5061/dryad.1s1m8r7
- 摘要：
- ow that high accuracy in behavioral classification is achievable when pairing low frequency acceleration recordings with temperature. 2. We conducted 84
Data from: Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
- 负责人：
- Vazquez Diosdado, Jorge A
- DOI：
- doi:10.5061/dryad.h5c80
- 摘要：
- Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Positi
Data from: Classification of animal movement behavior through residence in space and time
- 负责人：
- University Of Konstanz
- 关键词：
- animal behavior animal movement animal tracking area restricted search behavior classification GPS logger grey-headed albatross Movebank movement ecology residence time
- DOI：
- doi:10.5441/001/1.694p666h
- 摘要：
- (1): e0168513. doi:10.1371/journal.pone.0168513;;Identification and classification of behavior states in animal movement data can be complex, temporally biased
Grey-headed albatross, New Zealand (data from Torres et al. 2017)
- 负责人：
- University Of Konstanz
- 关键词：
- animal behavior animal movement animal tracking area restricted search behavior classification GPS logger grey-headed albatross Movebank movement ecology residence time
- DOI：
- doi:10.5441/001/1.694p666h/1
- 摘要：
- (1): e0168513. doi:10.1371/journal.pone.0168513;;Identification and classification of behavior states in animal movement data can be complex, temporally biased
Data from: A novel biomechanical approach for animal behaviour recognition using accelerometers
- 负责人：
- Chakravarty, Pritish
- 关键词：
- DOI：
- doi:10.5061/dryad.7q294p8
- 摘要：
- hierarchical classification scheme employs simple machine learning algorithms at each node to find feature‐value thresholds separating different behaviours. Using triaxial
Data from: Sharing an environment with sick conspecifics alters odors of healthy animals
- 负责人：
- Gervasi, Stephanie S.
- DOI：
- doi:10.5061/dryad.f2j3615
- 摘要：
- d behavioral odor discrimination assays and analytical chemistry techniques followed by predictive classification modeling to ask about differences in volati
Data from: Behavioural compass: animal behaviour recognition using magnetometers
- 负责人：
- DOI：
- doi:10.5061/dryad.2fr72sb
- 摘要：
- on, and resting from magnetometer data in a common classification framework capable of accommodating and comparing data from both sensors. Methods
Data from: Uncovering behavioural states from animal activity and site fidelity patterns
- 负责人：
- University Of Konstanz
- 关键词：
- accelerometer animal movement animal tracking Canis latrans clustering cougar coyote denning GPS logger home range
- DOI：
- doi:10.5441/001/1.7d8301h2
- 摘要：
- food acquisition to reproduction, and emphasize the need to classify resource selection relative to specific behavioural states. Site fidelity is often indicati
Site fidelity in cougars and coyotes, Utah_Idaho USA (data from Mahoney et al. 2016)-acceleration
- 负责人：
- University Of Konstanz
- 关键词：
- accelerometer animal movement animal tracking Canis latrans clustering cougar coyote denning GPS logger home range
- DOI：
- doi:10.5441/001/1.7d8301h2/1
- 摘要：
- food acquisition to reproduction, and emphasize the need to classify resource selection relative to specific behavioural states. Site fidelity is often indicati
