11 to 20 of 114 Results
Apr 12, 2024
Keicher, Lara, 2023, "Data and Code - Heart rate monitoring reveals differential seasonal energetic trade-offs in male noctule bats", https://doi.org/10.17617/3.MYFH42, Edmond, V2
Data sets and connected code. |
Apr 8, 2024
Smeele, Simeon, 2023, "ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning", https://doi.org/10.17617/3.KQPPXF, Edmond, V2
Example data and installation files for ANIMAL-SPOT. README inside zip. |
Mar 28, 2024
Gonzales, David Thomas, 2023, "Quantifying single cell lipid signaling kinetics after photo-stimulation", https://doi.org/10.17617/3.3JM5WX, Edmond, V3
|
Jan 10, 2024
Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3
Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab*, Bernhard Schölkopf*. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks of human intelligence. While the field of CausalNLP has attracted muc... |
Dec 23, 2023
Karan, Sujoy; Huang, Haonan; Ivanovic, Alexander; Padurariu, Ciprian; Kubala, Björn; Kern, Klaus; Ankerhold, Joachim; Ast, Christian, 2023, "Tracking a Spin-Polarized Superconducting Bound State across a Quantum Phase Transition", https://doi.org/10.17617/3.SYQZEC, Edmond, V1
The data set contains raw and processed data from scanning tunneling spectroscopy to demonstrate the changes in the spectral features of Yu-Shiba-Rusinov states across the quantum phase transition in the presence of a magnetic field. |
Dec 20, 2023
Smith, Michael; Davidson, Jacob; Wild, Benjamin; Dormagen, David; Landgraf, Tim; Couzin, Iain, 2023, "Videos for honey bee lifetime tracking data 2019", https://doi.org/10.17617/3.LLWRWR, Edmond, V1
Videos associated with barcode-based tracking of honeybees during summer of 2019, taken in an observation hive located at University of Konstanz, Germany. The observation hive was filmed using 4 cameras, with two on each side (see Cameras-ObserationHive-Diagram.png). Original videos were taken at resolution of 3296x3008 for each camera. Saved in th... |
Dec 18, 2023
Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1
This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25" |
Nov 25, 2023
Körnig, Johannes; Ortizo, Kris; Sporer, Theresa; Yang, Zhi-Ling; Beran, Franziska, 2023, "Different myrosinases activate sequestered glucosinolates in larvae and adults of the horseradish flea beetle", https://doi.org/10.17617/3.693PSJ, Edmond, V1
This dataset contains the raw data underlying the figures and tables in the article "Different myrosinases activate sequestered glucosinolates in larvae and adults of the horseradish flea beetle". |
Nov 6, 2023
Picqué, Nathalie; Xu, Bingxin; Chen, Zaijun; Hänsch, Theodor W., 2023, "Data for the article "Near-ultraviolet photon-counting dual-comb spectroscopy" by Bingxin Xu, Zaijun Chen, Theodor W. Hänsch and Nathalie Picqué", https://doi.org/10.17617/3.YAX5OU, Edmond, V1
Data supporting the plots in the article "Near-ultraviolet photon-counting dual-comb spectroscopy" by Bingxin Xu, Zaijun Chen, Theodor W. Hänsch and Nathalie Picqué" |
Nov 5, 2023
Gong, Yijie; Javot, Bernard; Lauer, Anja Patricia Regina; Sawodny, Oliver; Kuchenbecker, Katherine J., 2023, "User Study Dataset for Understanding On-Site Construction Activities with Haptic Perception", https://doi.org/10.17617/3.PAFGCA, 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 dataset includes the following: 1. A readme file explaining our user study and the data, 2. Raw acceleration data, 3. Raw robot data, 4. Questionnaire responses, 5. Consent form, 6. Robot motion videos. This... |