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Single Elder Home Monitoring: Gas and Position

This dataset contains gas and temperature sensors as well as movement infra-red sensors from the monitoring of an elder person living alone in their own home from 2019-11-06 to 2020-02-13. The measurings have a temporal resolution of 20 seconds. The air and gas sensors measure temperature, humidity, CO2, CO and MOX readings. The data from the position sensors are binary; for each room, a 1 means that movement has been detected in that room while a 0 means that the sensor has gone back to baseline. The attached figure represents a simple layout of the monitored home as well as the sensors locations. The dataset also includes 19 days of measurements (from 2020-01-25 to 2020-02-13) where noone was occupying the room (except for an esporadic visit the 2020-01-29 at 15:), as reference data

Drug_induced_Autoimmunity_Prediction

This dataset comprises molecular descriptors generated using RDKit, specifically curated for the study of drug-induced autoimmunity through ensemble machine learning approaches. It is divided into a training set and a testing set, containing numerical features that represent molecular properties and structural characteristics of drugs. The dataset supports predictive modeling tasks aimed at identifying potential autoimmune risks associated with drug candidates. These molecular descriptors include physicochemical properties, providing a comprehensive foundation for machine learning analysis. The dataset facilitates the development of interpretable models for drug toxicity prediction, contributing to advancements in computational toxicology and drug safety assessment.

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