This readme file was generated on [2025-03-16] by [Jon Olaizola]
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GENERAL INFORMATION

Title of Dataset: Dataset with trips of a 17-floor traction elevator.

Author/Principal Investigator Information
Name: Jon Olaizola
ORCID: 0000-0002-5106-6283
Institution: Mondragon Unibertsitatea, Goi Eskola Politeknikoa
Address: Goiru 2, Arrasate (20500), Gipuzkoa, Spain.
Email: jolaizolaa@mondragon.edu

Author/Associate or Co-investigator Information
Name: Mikel Mendicute
ORCID: 0000-0002-2728-8978
Institution: Mondragon Unibertsitatea, Goi Eskola Politeknikoa
Address: Goiru 2, Arrasate (20500), Gipuzkoa, Spain.
Email: mmendikute@mondragon.edu

Author/Alternate Contact Information
Name: Jose I. Aizpurua
ORCID: 0000-0002-8653-6011
Institution: Euskal Herriko Unibertsitatea
Address: P. Manuel de Lardizabal, 1, 20018 Donostia - San Sebastián (Spain)
Email: joxe.aizpurua@ehu.eus

Date of data collection: 2023-04-20 

Geographic location of data collection: Hernani, Gipuzkoa, Spain

Information about funding sources that supported the collection of the data: 


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: Attribution-NonCommercial-ShareAlike 4.0 International

Links to publications that cite or use the data: An interpretable operational state classification framework for elevators through Convolutional Neural Networks. DOI:10.1111/mice.13479

Links to other publicly accessible locations of the data: 

Links/relationships to ancillary data sets: 

Was data derived from another source? No
If yes, list source(s): 

Recommended citation for this dataset: 


DATA & FILE OVERVIEW

File List: Elevator_class_dataset.csv

Relationship between files, if important: 

Additional related data collected that was not included in the current data package: 

Are there multiple versions of the dataset? No
If yes, name of file(s) that was updated: 
Why was the file updated? 
When was the file updated? 


METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: 

- Arbitrary trips in a 17-floor elevator facility using an ICM-20789 accelerometer mounted on a DK-20789 evaluation board.
- The classes of the dataset have been manually-labeled by an expert for training and validation.


Methods for processing the data: 

- Z-axis (vertical axis) of the 3-axis data captured from the accelerometer has been extracted.

Instrument- or software-specific information needed to interpret the data: 

-Any software able to read csv data. NOTE: Training and Test splits are separated in the dataset. Training dataset lines: (1-847002) Test dataset lines: (847004-1064093)

Standards and calibration information, if appropriate: 

Environmental/experimental conditions: Real conditions on a real facility.

Describe any quality-assurance procedures performed on the data: 

People involved with sample collection, processing, analysis and/or submission: 

- Courtesy of Orona.


DATA-SPECIFIC INFORMATION FOR: [Elevator_class_dataset.csv]

Number of variables: 2

Number of cases/rows: 1064088

Variable List: <list variable name(s), description(s), unit(s) and value labels as appropriate for each>

-Column1: Z-axis acceleration, vertical acceleration of elevator cabin, m/s^2
-Column2: Class, class of the acceleration pattern, 0-elevator stopped; 1-elevator moving vertically; 2-doors moving

Missing data codes: <list code/symbol and definition>

Specialized formats or other abbreviations used: