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The dataset comprises a collection of many data types during shoulder internal rotation, and external rotation exercises from 34 participants, including demographic information, anthropometric measurements, maximum voluntary isometric contraction force measurements, inertial measuring unit data, surface electromyography recordings, photoplethysmogram data from wearable sensors, as well as measurements from the Borg rating of perceived exertion scale and the Karolinska sleepiness scale.

This work was supported by the Irish Research Council (IRC; Government of Ireland Postgraduate Scholarship no. GOIPG/2020/1252, held by C.M.), by the Science Foundation Ireland funded Irish Photonic Integration Centre (SFI-IPIC; grant no. 12/RC/2276_P2), and by the European Commission's Horizon 2020 research and innovation programme via a Marie Skłodowska-Curie Actions Individual Fellowship (H2020-MSCA-IF; Global Fellowship "SATORI", grant agreement no. 101030927, held by C.A.B.). Raw data and plotting scripts associated with the paper: Cónal Murphy, Eoin P. O'Reilly and Christopher A. Broderick, "Theory and optimisation of radiative recombination in broken-gap InAs/GaSb superlattices", J. Phys. D: Appl. Phys. (in press)

SHARING SOLUTIONS Toolkit is an online platform which contains tools and generates reports to help food sharing initiatives estimate, communicate and improve their sustainability impacts. Whether the initiative supports growing, cooking, eating food together or re-distributing surplus food, they can use the SHARING SOLUTIONS Toolkit to document the impacts these activities create.

Supplementary Figures and Tables for preprint: The Privacy-Value-App Relationship and the Value-Centered Privacy Assistant

In the real world, only a handful of data is available for the Rhinophyma skin condition, typically numbering in the hundreds. This repository contains a Synthetic Dataset of Rhinophyma, generated through 3D head models of one male and one female. The purpose of this data generation is to address the data scarcity of the Rhinophyma skin condition within the medical visual data and computer vision community. By generating such data, we aim to bridge the gap in data scarcity for this disease condition, as well as introduce a proof-of-concept methodology for generating synthetic data for specialized disease conditions. The highlight folder 'highlight_female_male_rendered' provides a glimpse of the entire dataset. The file '2000_deformations.npy' contains the 2000 values of deformations applied during rendering. The dataset is divided into two main folders: 'female_rendered' and 'male_rendered'. Within each of these folders, there are three subfolders: 'configu', 'images', and 'points. 1. 'configu': This subfolder contains `.json` files with configuration details for each model. The files include various parameters, such as: - "total_num_cameras": the total number of cameras. - "active_camera_name": the name of the active camera. - "camera_focal_len": the camera's focal length. - "camera_loc": the camera's location. - "camera_rot": the camera's rotation. - "nose_deformation_severity": a measure of the severity of nose deformation. - "label": the label for the model (e.g., "Severe"). - "nose_variants": additional details about nose variants. 2. 'images': This subfolder contains the rendered images in resolution 960x540. They are named according to the following convention e.g.'Nose_Deformation_Severity_0_2.716669764843742_Camera_00001', with specific details related to the deformation severity and camera number. There are images for 10 different cameras. 3. 'points': This subfolder contains polygon files corresponding to each model. These files represent the deformations applied to the models during rendering. |-- Dataset Root |-- female_rendered | |-- configu | | |-- Nose_Deformation_Severity_0_2.212930927821943_Camera_00001.json | | |-- Nose_Deformation_Severity_0_2.212930927821943_Camera_00002.json | | |-- ... | | | |-- images | | |-- Nose_Deformation_Severity_0_2.212930927821943_Camera_00001.png | | |-- Nose_Deformation_Severity_0_2.212930927821943_Camera_00002.png | | |-- ... | | | |-- points | | |-- Nose_Deformation_Severity_0_2.212930927821943.ply | | |-- ... | |-- male_rendered |-- configu | |-- Nose_Deformation_Severity_0_2.716669764843742_Camera_00001.json | |-- Nose_Deformation_Severity_0_2.716669764843742_Camera_00002.json | |-- ... | |-- images | |-- Nose_Deformation_Severity_0_2.716669764843742_Camera_00001.jpg | |-- Nose_Deformation_Severity_0_2.716669764843742_Camera_00002.jpg | |-- ... | |-- points |-- Nose_Deformation_Severity_0_2.716669764843742.ply |-- ... Together, these folders and files comprise a dataset designed to represent and analyze the Rhinophyma condition in both male and female 3D head models that we have created. These 3D models will be made available upon a genuine request to the authors of this dataset.

Included: - Additional Phase I: Value and Privacy Preference Survey graphs - VcPA Profile Design Graphs and Statistics for Phase II: Mock App Store Study - Code List for Phase III: Semi-Structured Interviews Prof. Dr. Mathieu d'Aquin, Dr. Heike Felzmann, Prof. Dr. Kathryn Cormican, Dr. Dave Lewis, Dr. Ilaria Tiddi, and Dr. Dayana Spagnuelo also contributed to this work.

This repository contains the seismicity catalogues from Cahuilla, Yellowstone and West Bohemia used in the publication Roche et al., 2023 (The role of the three-dimensional geometry of fault steps on event migration during fluid-induced seismic sequences) and modified from Ross et al. (2020), Shelly et al. (2013) and Hainzl et al. (2016). The catalogues include the hypocentre location, relative time, and magnitude for non-filtered and filtered data. General information on each catalogue, filtering and modifications can be found in the associated publication. Dataset list: Cahuilla Catalogues (modified from Ross et al., 2019): Original data:File name: VR_sup_0021_Cah_All Filtered data: File name: VR_sup_0022_Cah_Filter Bohemia 2008 Catalogues (modified from Haintzl et al., 2016): Original data:File name: VR_sup_0023_Boh_08_All Filtered data: File name: VR_sup_0024_Boh_08_Filter Bohemia 2014 Catalogues (modified from Haintzl et al., 2016): Original data:File name: VR_sup_0025_Boh_14_All Filtered data: File name: VR_sup_0026_Boh_14_Filter Yellowstone Catalogs (modified from Shelly et al., 2013): Original data:File name: VR_sup_0027_Yell_14_All Filtered data: File name: VR_sup_0028_Yell_14_Filter The files are text files tab-delimited, with the following headers: Index: 1 by default Easting(m): hypocenter Easting in meters Northing(m): hypocenter Northing in meters Depth(m): hypocenter depth in meters Mw: magnitude Relative Time(s): date of the origin time in the format If you find these data useful in your research, please cite Roche et al. (2023), as well as the relevant papers Ross et al. (2020), Shelly et al. (2013) and Hainzl et al. (2016).

A catalogue of 4874 of the Low Frequency Extensions (LFEs) of Saturn Kilometric Radiation (SKR) detected by Cassini/RPWS from the beginning of 2004 until mission end in 2017. The LFEs presented in this catalogue were identified using a modified U-Net architecture that applied semantic segmentation to spectrogram images in order to extract the exact frequency-time coordinates of the LFE. The files consist of a .json file with the coordinates of each LFE in Time Frequency Catalogue (TFCat) format (Cecconi et. al. 2023). We also include a .csv file with the start and stop times of each LFE in the form of python datetime timestamps, with the average predicted probability per LFE as an accompanying column.