Resultados de investigación

Dataset of pomegranate tree (Punica granatum L. ‘Wonderful’) image times series. The pictures were collected by means of Raspberry Pi cameras with OV5647 sensor (5 MP, f2.9). Sensors were installed on fixed platforms for continuous measurement with zenithal orientation at a distance of approximately 1 metre from the canopy. Images were captured daily at 9 a.m. (GMT+2) from July to mid-October in 2021 and 2022. The resolution of the images is 640x480 pixels.

This dataset contains the experimental data obtained during the characterization and tribological evaluation of ecofriendly lubricants based on Protic Ionic Liquids based on ammonium cations and hydroxy/carboxylate anions (named as DCi, DL and DSa). The dataset includes friction and wear results, viscosity measurements, wettability studies and surface analyses associated with tribological testing., European Union FEDER Program; Ministerio de Ciencia e Innovación (MCIN/AEI) Grants # MAT2017–85130-P Project PID2021-122169NB-I00

Rainfall data. See metadata file for more information.This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124Changes in version 2 - 14-04-2021Files from C-band and X-band radars respectively are concatenated in one timeseries per cell with correct headers. Changes in version 3 - 31-08-2021- Updated documentation file- New names to subfolders

This dataset includes data corresponding to the paper "Intelligent thermal image-based sensor for affordable measurement of crop canopy temperature" with DOI: 10.1016/j.compag.2021.106319

We present a novel, low-cost telerehabilitation system dedicated for bimanual training. The system captures the user’s movements with a Microsoft Kinect sensor and an inertial measurement unit (IMU). Herein, we deposit data we collected on a single, healthy subject who interacted with our system as described in our manuscript.

Biometric data