Omkar2118/datasets huggingface dataset:
CORBEL
Full name: Conveyor belt pressure signal dataset)

Dataset included measuring static tension under 2 kg load in different points 
of the CB and measurements in dynamic conditions. The latter conditions
presumed the range of the linear belt speeds between
nu_1 = 0.5 and nu_max = 1.7 m/s. 400 Hz unified sampling frequency for
the experiments. It corresponded with 140 samples.

Signal is divided into fixed-length (points P) signals of
0.2 s (80 points), 0.4 s (160 points), 0.8 s (320 points),
1.6 s (640 points), 3.2 s (1280 points), and 5.0 s (2000
points).

In such for each length equivalent data points are avaible:
Signal length (s), time points (#), Samples (#)
0.2, 80, 384200
0.4, 160, 368200
0.8, 320, 336200
1.6, 640, 272200
3.2, 1280, 144200
5.0, 2000, 200

The binary classification into loaded/no load task is investigated.

Introducing paper: Investigation of deep learning models on identification of minimum signal length for precise classification of conveyor rubber belt loads