Datasets
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Broadband Acoustic Network dataset - Ambient Noise Trends in hybrid millidecade bands Flanders Marine Institute
Hybrid millidecade bands computed from the acoustic data collected in the LifeWatch Broadband Acoustic Network. Hybrid millidecade bands computed according to Miksis-Olds et al. 2021 [1]. The output is given in power spectral density. The data were processed using pypam [2], in non-overlapping 1-minute windows. Each window is processed using a 1-second fft. Frequency range from 0 to 24 kHz. For data with a sampling rate higher than 48 kHz, a low pass Butterworth filter of order 4 was first applied to the raw data before computing the hybdrid millidecade bands. [1] Miksis-Olds , J. L., ...
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations Hasselt University
This online resource shows three archived folders: Matlab, Python, and App that contain relevant code and data for the article: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations. Within the Matlab folder, one finds the codes used for the generation of the large dataset. Here, the file Main.m is the main file and from there, one can run the Monte Carlo simulation. Within the Python folder, one finds the codes used for training the neural networks and creating the online application. The file Data.mat contains the data generated by ...
Catalan Tracking Network
The maritime coast of Catalonia is home to a large part of the biodiversity of the north-west of the Mediterranean, as well as a great diversity of habitats used by several emblematic species of high heritage and economic value that offer us a large number of services such as food, work and well-being, and protects us against global threats such as climate change. Despite the existing coastal management and conservation measures, knowing the movement of species, their use of the different habitats throughout their life cycle and the connectivity between habitats is a key factor for an ...
Broadband Acoustic Network dataset Flanders Marine Institute
Underwater Acoustic Network recording continuously from 10 Hz to 50 kHz, covering most of geophonic sounds, anthropogenic noise and biophonic events in the Belgian Part of the North Sea
Differences in network structure and connectivity of four (protected) Palearctic-Afrotropical flyways Vrije Universiteit Brussel
Aim – Waterbirds that travel seasonally between Europe and Africa use wetlands along four major Palearctic-Afrotropical flyways. However, it is unknown to what extent the overall connectivity of these flyways may be threatened by ongoing habitat loss and degradation. Here, we contrasted the wetland connectivity along these four flyways, applying graph-theoretic connectivity metrics on an intercontinental scale. We also explored for which flyway connectivity is most at risk. We then identified the most important wetlands by their contribution to connectivity in each flyway. Location – Western ...
Replication Data for: Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium KU Leuven
This dataset presents crowdsourced data from the Leuven.cool network, a citizen science network of around 100 low-cost weather stations (Fine Offset WH2600) distributed across Leuven, Belgium. The data was quality controlled and corrected by a newly developed station specific temperature quality control (QC) and correction procedure. The procedure consists of three levels removing implausible measurements, while also correcting for inter (in between stations) and intra (station-specific) station temperature biases by means of a random-forest approach.
reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding Vrije Universiteit Brussel
Code for our publication "Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding". >> Code maintained on https://gitlab.com/etrovub/mlsp/reweighted-rnn << Citation: H. V. Luong, B. Joukovsky and N. Deligiannis, "Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding," in IEEE Transactions on Image Processing, vol. 30, pp. 4099-4113, 2021, doi: 10.1109/TIP.2021.3069296.
Lifewatch observatory data: Broadband acoustic sensor network in the Belgian Part of the North Sea Flanders Marine Institute
Underwater Acoustic Sensor Network recording continuously from 10 Hz to >24 kHz, covering most of geophonic sounds, anthropogenic noise and biophonic events in the Belgian Part of the North Sea.
Doctoral Studies as part of an Innovative Training Network (ITN): Early Stage Researcher (ESR) experiences - supplemental material & data University of Antwerp
Laure Jacquemin, Roshni Biswas, Vinay Parameshwarappa, Constanze Riha, Jose, L. Santacruz, Simoes,, Natalia Trpchevska, Stefan Schoisswohl, Axel Schiller, Chiara Casolani, Elza Daoud, Albi Dode, Nuwan Liyanage, Matheus Lourenco, Punitkumar Makani
No abstract available