*.csv (zip)

The increased risk to the safety of excavator personnel and difficulty in training them, combined with a manpower shortage, have led to an increased demand for machine automation. This study applies a long short-term memory algorithm for automating a bucket-tip trajectory planning AI system.
- Categories:
We provide two datasets extracted from Twitter, in Spanish and English, and annotate each one with approximately 1,500 users who have been diagnosed with one of nine different mental disorders (Adhd, Autism, Anxiety, Bipolar, Depression, Eating disoders, Ocd, Ptsd and Schizophrenia) along with 1,700 matched-control users.
- Categories:

Fifth Generation 5G cellular network users are increasing exponentially, where 5G coverage is a challenge for global telecommunications to provide end-users with maximum Quality of Experience (QoE). 5G technology New Radio (NR) is developed to address high bandwidth, low latency and massive connectivity requirements of enhanced Mobile Broadband (eMBB) compared to Fourth Generation (4G) Long-Term Evolution (LTE).
- Categories:
Buildings are combined into objects (building complex).
"Energy consumption 2019 till 2022 by months" csv file consists of the total readings of the objects' electricity consumption every month from January 2019 to September 2022. This file includes information of each object area in square meters.
Hourly consumption in facilities is available for the period from September 2020 to September 2022.
Energy consumption in all files is given in kWh.
- Categories:
This dataset contains segmented taxi trajectories with passengers within Bangkok, which are extracted from taxi GPS data during the Songkran Festival period (April 11–17, 2019), published by the ITIC Foundation (https://org.iticfoundation.org/).
- Categories:

Hydrothermal unit commitment data
Input data, optimization models and output
- Categories:

Two dataset collected by USkin tactile sensors for detecting grasping stability and slip detection during lifting objects.
- Categories:

This dataset will contains some simulation models in Matlab/Simulink of four most used active anti-islanding methods namely Active Frequency Drift (AFD), Sandia Frequency Shift (SFS), Slip Mode frequency Shift (SMS), Sandia Voltage Shift (SVS).
- Categories:

The dataset represents the input data on which the article Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs, is based. The data consist of a two-year hourly time series of measured wind speed and direction, air density, and production of two wind farms (WTs) in Croatia (Bruška and Jelinak). In addition to the two listed WTs, measurements of two nearby WTs (Glunca and Zelengrad) are also attached in training files (these WPPs are not directly analyzed in the article).
- Categories: