1 to 10 of 16 Results
Sep 15, 2024
Pozzer, Andrea; Cho, Yoori, 2024, "Rising atmospheric levels of fine particulate matter reduce the degree of linear polarisation of light", https://doi.org/10.17617/3.K7ZDG5, Edmond, V1
Many insects utilise optical information in linearly polarised light for navigation, with the degree of linear polarisation (DoLP) determining whether the ‘visibility’ of such optical information is available to them. However, changes in degree of linear polarisation in response... |
Gong, Yijie; Mat Husin, Haliza; Erol, Ecda; Ortenzi, Valerio; Kuchenbecker, Katherine J., 2024, "Data set for "AiroTouch: enhancing telerobotic assembly through naturalistic haptic feedback of tool vibrations"", https://doi.org/10.17617/3.QEKZ5X, Edmond, V1
We encourage viewers to select the "Tree" view, rather than "Table" view, in order to see the files organized by their respective folders. The user study and its result analysis were described in the corresponding publication. This dataset includes the following: 1) A readme file... |
Aug 22, 2024
Chan, Hoi Hang; Putra, Prasetia; Schupp, Harald; Köchling, Johanna; Straßheim, Jana; Renner, Britta; Schroeder, Julia; Pearse, William D; Nakagawa, Shinichi; Burke, Terry; Griesser, Michael; Meltzer, Andrea; Lubrano, Saverio; Kano, Fumihiro, 2024, "Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos", https://doi.org/10.17617/3.EZNKYV, Edmond, V1
Sample dataset and weights for YOLO-Behaviour framework. Required to run demo code in the documentation. Also provided bounding box datasets for 4 case studies in YOLO format. The human dataset is not included due to privacy concerns. Code: https://github.com/alexhang212/YOLO_Beh... |
Jul 26, 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, "Pretrained models for animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics", https://doi.org/10.17617/3.ETPUKU, Edmond, V1
Model weights for animal2vec Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec Here you find the model weights for the pretrained and the finetuned animal2vec model using the MeerKAT dataset. For more information on how to use this... |
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 8, 2024
Xie, Xianghui, 2024, "ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)", https://doi.org/10.17617/3.2VUEUS, Edmond, V5
A large scale synthetic dataset about human-object interaction. It features about 1M+ interaction images with 21k+ different objects. The generation of this dataset is described in the paper "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Gen... |
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... |
Jun 13, 2024
Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V1
This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: htt... |
May 6, 2024
Mohan, Mayumi; Nunez, Cara M.; Kuchenbecker, Katherine J., 2024, "Data for “Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback"", https://doi.org/10.17617/3.UPWT1Q, Edmond, V1
This Excel file provides the data required to perform the statistical analyses presented in the manuscript: "Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback". Each of the nine included sheets contains a different subset of the co... |
Mar 26, 2024
Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1
Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses... |
