1 to 3 of 3 Results
Jul 24, 2024
Georgiades, Pantelis; Pozzer, Andrea, 2024, "High-resolution global ultrafine particle concentrations through a machine learning model and Earth observations", https://doi.org/10.17617/3.YK9I4B, Edmond, V1
Atmospheric pollution is a major concern due to its well-documented and detrimental impacts on human health, with millions of excess deaths attributed to it annually. Particulate matter (PM), comprising airborne pollutants in the form of solid and liquid particles suspended in th... |
Jul 2, 2024
Schaefer-Zimmermann, Julian; Demartsev, Vlad; Averly, Baptiste; Dhanjal-Adams, Kiran; Duteil, Mathieu; Gall, Gabriella; Faiß, Marius; Johnson-Ulrich, Lily; Stowell, Dan; Manser, Marta; Roch, Marie; Strandburg-Peshkin, Ariana, 2024, "MeerKAT: Meerkat Kalahari Audio Transcripts", https://doi.org/10.17617/3.0J0DYB, Edmond, V1
A large-scale reference dataset for bioacoustics Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec [Optional ]You can find the animal2vec model weights using the MeerKAT dataset here. MeerKAT is a 1068h large-scale dataset containi... |
May 22, 2023
Koger, Benjamin; Hurme, Edward; Costelloe, Blair R; O'Mara, M. Teague; Wikelski, Martin; Kays, Roland; Dechmann, Dina, 2023, "Data for: An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies", https://doi.org/10.17617/3.1YIESH, Edmond, V1
Data that goes with paper entitled "An automated approach for counting groups of flying animals applied to one of the world’s largest bat colonies" published by the same authors as this dataset. Data is stored as .npy files containing the crossing information for each detected ba... |