The dataset contains multiple columns capturing both physiological and demographic data. Physiological data, collected using the Empatica EmbracePlus smartwatch, includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. The processed data is...
This dataset was collected in a pharmaceutical case study where participants performed repetitive packing tasks for approximately 20 minutes directly on the production line. The study aimed to assess physiological and ergonomic factors affecting workers during the task. Key Variables: Participant Information: ID participant: Unique identifier for each participant. Age: Age of the participant. Experience: Work experience in years. Task Context: Moment: Time of measurement during...
Here I propose the .kml files regarding the positions of keyhole stone monuments of Sahara. These monuments are mentioned in literature as burial sites. In the folder, besides the files obtained by means of Google Earth, .pdf documents are enclosed to illustrate the solar orientation of these monuments. One of the .kml files is named "Swallows of Sahara". Cino Boccazzi, writer and explorer, who visited several times the Sahara, reports of some stone structures having the shape of "stone flyi...
An arid land, known as the Syrian Desert, is covering a large part of the Middle East. This harsh environment is characterized by huge lava fields, the “harraat”. If we observe them from space, we discover that they are crossed by some stone structures, the ''desert kites'', which were the Neolithic traps for the game. Several stone circles, with radial structure inside, are visible too, as many ''Stonehenge'' dispersed in the desert landscape. Like the famous English site, some of them could...
This dataset has been created by the ISED (Industrial Systems Engineering and Design) research group at Politecnico di Torino to extend the available data for the development of fault detection models and predictive maintenance strategies for medium/large-sized spherical roller bearings commonly used in industrial applications, by resorting to a test rig with spherical roller bearings simultaneously monitored.. Building upon the previously released dataset focused on single localized defects...
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