Table 3.

Main characteristics of the publicly available datasets for indoor localization

Year	Dataset	Coverage area (sq.m.)	#Floor	#LP	#Sample	#AP	#Device
2008	CRAWDAD${}^{\mathrm{a}}$ King et al. (2008)	221	1	130	14,300	25	NA
2013	KIOS${}^{\mathrm{b}}$ Laoudias et al. (2013)	560	1	105	2100	60	5
2014	UJIIndoorLoc${}^{\mathrm{c}}$ Torres-Sospedra et al. (2014)	108,703	4	933	21,049	520	25
2015	UJIIndoorLoc-Mag${}^{\mathrm{d}}$ Torres-Sospedra et al. (2015)	260	1	NA	40,159	93	4
2016	IPIN 2016 Tutorial${}^{\mathrm{c}}$ Montoliu et al. (2017)	120	1	105	1629	168	1
2017	WiFi Crowdsourced${}^{\mathrm{e}}$ Lohan et al. (2017)	22,570	5	4648	4648	991	21
2018	Long-Term WiFi Fingerprint${}^{\mathrm{f}}$ Mendoza-Silva et al. (2018)	308.4	2	212	63,504	448	1
2019	JUIndoorLoc${}^{\mathrm{g}}$ Roy et al. (2019)	2646	3	1000	25,364	172	4

${}^{\mathrm{a}}$ https://crawdad.org/mannheim/compass/20080411/fingerprint

${}^{\mathrm{b}}$ https://www.researchgate.net/publication/256482916_KIOS_WiFi_RSS_dataset

${}^{\mathrm{c}}$ http://indoorlocplatform.uji.es/

${}^{\mathrm{d}}$ http://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc-Mag

${}^{\mathrm{e}}$ 10.5281/zenodo.889798

${}^{\mathrm{f}}$ https://zenodo.org/record/3748719#.YCP9lGgzbIU

${}^{\mathrm{g}}$ https://drive.google.com/open?id=1_z1qhoRIcpineP9AHkfVGCfB2Fd_e-fD