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eIF4B silencing (siRNA) experiment and assessment of the protein levels of CDKL5, XIAP and alpha-tubulin

This dataset contains raw, time-synchronized multimodal physiological recordings from six participants performing VR-based geriatric nursing training. It was collected to support assessment and classification of cognitive workload from fused physiological signals. All signals are provided in their original acquisition units with no filtering, artifact rejection, normalization, or feature extraction applied. Records are organized on a common 250 Hz timebase (4 ms resolution), with the Time column giving seconds elapsed from the start of the recording. Signals EEG — 14 channels (AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4), in a montage consistent with a 14-channel wireless headset (EPOC X). Values are unreferenced and retain the full DC offset, typically in the 4,200–4,950 range; users should apply appropriate referencing and high-pass filtering before analysis. Eye tracking — 3D gaze direction vector (GazeDirection_X, _Y, _Z), identifier of the object under gaze (LookedObject), current fixation duration (GazeDuration), cumulative gaze time on the current object (TotalGazeTime), and pupil dilation for the left eye, right eye, and their average, in millimeters. Cardiovascular — peripheral oxygen saturation (SpO2(%)) and pulse rate (Pulse Rate(bpm)). The disparity is largest for the cardiovascular channels. SpO₂ and pulse rate were recorded at approximately one sample per 1,000 EEG samples — roughly 0.25 Hz, or one reading every four seconds. Task context — Module, an integer index identifying five different modules of the training task. Label — Cognitive Load, a categorical workload annotation with levels [low/ Medium/ High ], derived from Cognitive Load Scale survey completed after each module was completed.

This is the part A of the dataset for the paper "Material Recovery from Road Bridges: Regional Remote-sensing Circularity Assessment in China’s Yangtze River Delta "

This is the part B of the dataset for the paper "Material Recovery from Road Bridges: Regional Remote-sensing Circularity Assessment in China’s Yangtze River Delta "

This is the part C of the dataset for the paper "Material Recovery from Road Bridges: Regional Remote-sensing Circularity Assessment in China’s Yangtze River Delta "

Unprocessed western blots and image files

This is the part D of the dataset for the paper "Material Recovery from Road Bridges: Regional Remote-sensing Circularity Assessment in China’s Yangtze River Delta "

Raw data for article: Long-term occurrence records reveal spatially structured road mortality of the Egyptian Mongoose in Israel

The MeteoUABCS project is an initiative promoted by the Laboratorio de Investigación en Gestión Integral del Riesgo (LIGIR) of the Autonomous University of Baja California Sur (UABCS), whose objective is the installation and operation of a network of weather stations to provide high-resolution meteorological data to the university community and the population of Baja California Sur.  The information is presented in real time on a geovisualizer, which can be accessed at the link: https://sites.google.com/uabcs.mx/cigir-uabcs/meteouabcs?authuser=0 The database corresponds to the meteorological data from the station located in the town of Ciudad Insurgentes, Baja California Sur, with coordinates: 25°13.5628'N 111°45.7822'W, at 41m The current version includes the following variables: Date Simple Date Outdoor Temperature (°C) Feels Like (°C) Dew Point (°C) Wind Speed (km/hr) Wind Gust (km/hr) Max Daily Gust (km/hr) Wind Direction (°) Daily Rain (mm) Weekly Rain (mm) Monthly Rain (mm) Yearly Rain (mm) Total Rain (mm) Relative Pressure (hPa) Humidity (%) Ultra-Violet Radiation Index Solar Radiation (W/m^2) Indoor Temperature (°C) Indoor Humidity (%) Hour Average (µg/m^3) Outdoor Battery Absolute Pressure (hPa) Indoor Feels Like (°C) Indoor Dew Point (°C). This data is RAW, a screening and filtering is recommended The time scale is from October 10, 2024, to June 10, 2026.

The MeteoUABCS project is an initiative promoted by the Laboratorio de Investigación en Gestión Integral del Riesgo (LIGIR) of the Autonomous University of Baja California Sur (UABCS), whose objective is the installation and operation of a network of weather stations to provide high-resolution meteorological data to the university community and the population of Baja California Sur.  The information is presented in real time on a geovisualizer, which can be accessed at the link: https://sites.google.com/uabcs.mx/cigir-uabcs/meteouabcs?authuser=0 The database corresponds to the meteorological data from the station located in the town of La Paz, Baja California Sur, with coordinates: 24°05'54.82"N 110°18'57.24"W, at 28m The current version includes the following variables: Date Simple Date Outdoor Temperature (°C) Feels Like (°C) Dew Point (°C) Wind Speed (km/hr) Wind Gust (km/hr) Max Daily Gust (km/hr) Wind Direction (°) Daily Rain (mm) Weekly Rain (mm) Monthly Rain (mm) Yearly Rain (mm) Total Rain (mm) Relative Pressure (hPa) Humidity (%) Ultra-Violet Radiation Index Solar Radiation (W/m^2) Indoor Temperature (°C) Indoor Humidity (%) Hour Average (µg/m^3) Outdoor Battery Absolute Pressure (hPa) Indoor Feels Like (°C) Indoor Dew Point (°C). This data is RAW, a screening and filtering is recommended. The time scale is from May 20, 2024, to June 12, 2026.