Dataset Viewer
Auto-converted to Parquet
timestamp
stringdate
2025-03-01 00:00:00
2025-06-30 23:59:59
unique_cell
stringlengths
40
40
measurement_type_name
stringclasses
1 value
in_outdoor_state
stringclasses
4 values
value
float64
-140
803k
latitude
float64
52.6
53.1
longitude
float64
-1.85
-0.69
signal_level
float64
-120
-20
2025-03-01 15:48:22.455
d66c4660d6f77433b503d2e0159ce7053bdd76dc
null
null
-91
52.941137
-1.180972
-112.20792
2025-03-01 03:15:47.436
bb8abb3cfc1d2eb47edba5f216a0078d829575f2
null
Probably Indoor
-9
52.756933
-1.517308
-120
2025-03-01 12:26:07.000
3fb387a3995398fc5602cc0e431ce935044c594e
null
Probably Outdoor
-108
52.770351
-1.208205
-108.719592
2025-03-01 09:49:03.000
e662f0bf857466dafbb8da554abfec2e86335deb
null
Surely Outdoor
46.8
52.644803
-1.189687
-103.070615
2025-03-01 00:56:44.711
0fed16bc81fbd0ef53e6071cf9fd8449d810fdfc
null
Surely Indoor
-7
52.887214
-1.534917
-96.20553
2025-03-01 08:28:59.105
49b608055ee3a4c9fa8b144e3c6f8c00b5c33672
null
Probably Indoor
0.7
53.11904
-1.28387
-116.380131
2025-03-01 20:01:18.000
92ffdced2b46e2fcb5e7bfa775be4d52c818f596
null
Surely Outdoor
75.6
53.051805
-0.850372
-96.32822
2025-03-01 09:17:49.625
ad9539a2c03f3ef08cdce86e7c9e2266bbcf0de6
null
null
21.399911
52.681086
-1.123133
-96.829405
2025-03-01 17:09:02.733
984c550f78bc38af00d4d3ab4a87468713679549
null
null
2,171
52.882914
-1.494005
-101.58489
2025-03-01 20:56:54.988
24f16916e75710dc7b77b877cce5380ec26898cb
null
Probably Indoor
-98
53.059022
-1.330016
-103.10999
2025-03-01 07:16:51.093
21d6df0300ebd2173f82f2dc602c5e3f34ed4913
null
Surely Indoor
2
52.958623
-1.144582
-99.987959
2025-03-01 15:46:21.509
b254d423e51bb30c19ccf6634bccce596288eebb
null
Probably Outdoor
0
53.048639
-1.407671
-107.927202
2025-03-01 12:27:24.820
21f9f640dcbc6e061f4ac3be0d48517a86a94cbe
null
Surely Indoor
-111
52.876825
-1.096162
-118.760912
2025-03-01 02:48:22.992
840aee6832e6ea273f53c3b1bc2fa5f0b1b34f65
null
Probably Indoor
-95
53.006976
-1.432632
-113.825022
2025-03-01 10:51:16.000
6aa6227175a3c63c337215d93db93bc6513af349
null
Surely Outdoor
-108
52.769765
-1.562462
-88.288248
2025-03-01 06:42:59.066
778d1badb1c63c8cad7209b27e1347a39020db84
null
Probably Outdoor
0
52.779512
-1.281643
-108.981514
2025-03-01 17:36:31.778
a53da932b648c5187b26bdb80f548024e5f6961a
null
null
-99
52.775653
-0.892112
-111.37913
2025-03-01 09:23:22.000
cc8efcc6e6415c75463150b0c5edcd17e5ea4e86
null
Probably Outdoor
8
52.941528
-0.821424
-106.732352
2025-03-01 17:34:35.295
9d2088d1c791af4189d06021f1bf494360addc72
null
Probably Outdoor
2,801
52.768638
-1.294073
-102.517869
2025-03-01 20:50:08.402
1b6d62dd71f3b16b97d1524dc6161a0dff3873a7
null
Probably Outdoor
156
52.768448
-1.294092
-94.23062
2025-03-01 23:02:12.626
1c1b6b7fbfde3c6dbfdc835c8669786ae01f05b0
null
Probably Indoor
9
52.984523
-1.19798
-107.145488
2025-03-01 23:50:40.841
be6a921a26f84fed13fa25c6513e4c5a2a0fe2ce
null
Probably Indoor
0.1
52.824847
-1.323918
-94.593303
2025-03-01 14:50:58.257
b6b78eec6eb1e85d7b0de7fb49d12c4aadcd3b1b
null
Probably Indoor
1
52.813446
-1.642887
-107.969139
2025-03-01 22:21:03.691
f877e2c7c4a9c6cd3cb4555b139bf0c6f028cec3
null
Probably Indoor
-6
52.962041
-1.079299
-114.798127
2025-03-01 11:19:15.109
285c3579d2c9766640f768174eed7ff02237cf20
null
null
-115
52.928506
-1.421912
-106.889963
2025-03-01 19:52:01.000
499bab3ddf6d5eb9eee4dac3a88af9a26f3b492a
null
Surely Outdoor
-118
53.080685
-0.904147
-109.838412
2025-03-01 16:34:32.000
7109f0517b2ceac4337af089f206c7de916baf65
null
Probably Outdoor
-78
52.96083
-1.15075
-110.6837
2025-03-01 08:39:45.997
04263d4e58d7ec79ead4bf67de19fcf5505a112f
null
Probably Outdoor
-12
52.810798
-1.634539
-108.289087
2025-03-01 23:17:54.745
9802c16ff3517fa16049fc147e984efceff0b056
null
Probably Indoor
649
53.124964
-1.235772
-79.058241
2025-03-01 02:11:29.369
f76382443c1b3d604724877183b3f83890ccf146
null
Surely Indoor
39
52.948829
-1.13205
-115.01268
2025-03-01 00:12:05.169
ad9539a2c03f3ef08cdce86e7c9e2266bbcf0de6
null
Probably Indoor
49
52.681413
-1.12302
-102.655246
2025-03-01 12:45:36.599
591550df44b89acab7eeee94cb00666cd8c91a80
null
Probably Indoor
2,390
53.110552
-1.258352
-102.862639
2025-03-01 22:29:26.258
275de5cd9c97f1a712fa71c752fc09d6b9baa8de
null
Probably Indoor
-13
52.865876
-1.688691
-98.613216
2025-03-01 18:50:46.330
d31b64d547e92bed461f595458d3aa57f17d03bd
null
Probably Indoor
-105
52.904036
-1.276673
-107.729127
2025-03-01 04:59:26.887
5b8d75bd8849ee154f536920487da182af662f7c
null
Probably Indoor
2.4
53.026401
-1.485417
-106.846322
2025-03-01 07:31:49.532
6e454a061450fd617d5b4eac3ee60cc661bdbf33
null
Probably Indoor
46
52.948897
-1.132006
-110.561656
2025-03-01 19:01:38.974
1038f6b5d2c68eecc2d5d6f61eadedf4b0418c50
null
Probably Indoor
1
52.949431
-1.146734
-96.806612
2025-03-01 08:19:56.352
c5fcac3664b474660586dc5d7c68a9455782be57
null
null
0.2
52.941584
-1.200421
-112.29766
2025-03-01 22:54:07.384
422a313c95de0dc3ec3eae975a36cfdf1bac6345
null
Surely Indoor
-115
52.615901
-1.129596
-97.424229
2025-03-01 16:18:01.082
7ac5d9e39f3d5b6c54a46b8b41eda7cd279b7ae7
null
Probably Outdoor
2.09
52.68432
-1.091381
-112.773435
2025-03-01 01:25:00.915
da6dfc92179890d65354d0662a65246d9fe45267
null
Probably Indoor
71
53.038723
-1.20787
-109.661355
2025-03-01 13:04:06.000
495bfb7cce31d4d9c1319dbf925f031cd833c34a
null
Probably Outdoor
0
52.92531
-1.491395
-106.372015
2025-03-01 10:36:02.617
f32a3c2bf6c14f824fc848d3a72f1e00a3c470be
null
Probably Outdoor
11
52.696911
-1.826733
-75.660303
2025-03-01 05:45:19.374
14e61359a559682f5092b3836e5a3d21b748824b
null
Probably Indoor
1
52.754364
-1.475725
-68.77353
2025-03-01 14:22:45.624
1b0a5d0be43dfe7f9c2aa85b2edf967c425eff55
null
Probably Indoor
-17
52.804695
-1.590766
-96.070449
2025-03-01 05:16:17.386
d05682965c78b50be17d4276b1bc5895f6745597
null
Surely Indoor
-105
52.619584
-1.661766
-104.343455
2025-03-01 13:28:44.300
7f6b7df0e1c9c97bb8b9445bb22f94be748a6c15
null
null
-111
52.892756
-1.149293
-105.225433
2025-03-01 19:41:56.489
1b6d62dd71f3b16b97d1524dc6161a0dff3873a7
null
Probably Outdoor
1,025
52.768482
-1.293641
-94.305741
2025-03-01 20:12:52.750
1b6d62dd71f3b16b97d1524dc6161a0dff3873a7
null
Probably Outdoor
5.687
52.768514
-1.294185
-114.157813
2025-03-01 07:53:33.773
a1783ad07ca60192dc9db8a2463b56f94f245c33
null
Probably Outdoor
1.7
52.995371
-1.116604
-110.842771
2025-03-01 11:10:30.078
a9e5485e59d68f87f910a43a717189a5ce042631
null
Surely Indoor
-84
52.97858
-1.161028
-107.112187
2025-03-01 20:59:49.793
5f86f07f2de96e0b7a75074bece863cf95e213f5
null
Probably Outdoor
-13
52.732668
-1.570633
-111.974114
2025-03-01 05:17:28.197
eedd07e8cbd4bfe29a8ea715ed3128a95b9a42ef
null
Probably Indoor
-104
53.121093
-1.2432
-83.925289
2025-03-01 09:27:19.000
889854224f5110253f217b52ed1763721c583687
null
Surely Outdoor
-18
52.785344
-1.677156
-100.827642
2025-03-01 22:55:27.873
fc85c8b6ab06134e0b51f6a56bf658e8ca0e859c
null
Probably Indoor
-100
53.077052
-0.966425
-97.893391
2025-03-01 10:52:42.194
9c92d4d54db607a6402868e25004f01f43d184cc
null
Probably Indoor
-9
52.888504
-1.449664
-97.915726
2025-03-01 06:20:06.938
541f90672da3752a76d7749c65fb9e042b1d5965
null
Probably Indoor
-105
52.857673
-1.312725
-99.856076
2025-03-01 13:13:09.074
5287843b44a094fd06d4298825891da3d7b65031
null
null
-114
52.926695
-1.201916
-112.324712
2025-03-01 08:25:23.847
a144c7ffd472991b7874cd88155658567f8336ff
null
Probably Indoor
2.4
52.872229
-0.890861
-120
2025-03-01 11:02:51.000
9005131ac4689dfc873367fc3cc9b79e9943ed04
null
Probably Outdoor
0.6
52.910756
-1.512977
-98.607253
2025-03-01 18:16:34.164
166567e59d5dbcbd765378b48ee0286ccf789c3a
null
Surely Indoor
6
52.902689
-1.463496
-95.277417
2025-03-01 06:12:26.042
ac616b74facb6fa779438e8b6997b63d826d51f4
null
Probably Indoor
-11
52.64698
-1.062727
-65.937545
2025-03-01 05:57:10.123
1f26224fd9ebcf4d1e7ed6aefebc4db447e2025b
null
Probably Indoor
-6
52.779424
-1.198489
-109.637957
2025-03-01 15:59:59.529
e90e0ce9ddb5a838020d75d5f3ec8039807f2a9c
null
null
-111
52.636299
-1.139606
-97.598865
2025-03-01 01:35:27.699
21d6df0300ebd2173f82f2dc602c5e3f34ed4913
null
Probably Indoor
1
52.957436
-1.147568
-103.864615
2025-03-01 14:07:57.941
e1e1b245d799e35b712b8ef0cac123ce30a12b23
null
null
-9
53.13113
-1.25764
-103.717153
2025-03-01 20:44:49.087
15dea09964b9c541c91485b4bb2b9189ccf2288d
null
Probably Indoor
57.224607
52.63299
-1.127921
-91.942436
2025-03-01 23:45:38.946
06d9555501e2528a3ede41cc33297df03ef2e84b
null
Probably Indoor
-99
52.960636
-1.302738
-111.466197
2025-03-01 17:51:17.817
1b6d62dd71f3b16b97d1524dc6161a0dff3873a7
null
Probably Outdoor
9.991
52.768501
-1.293936
-103.473696
2025-03-01 03:55:07.220
07b2fc3329f4bbfe26d2632d6190a7ab1115b7fc
null
Probably Indoor
1.1
52.871649
-1.438359
-105.683428
2025-03-01 11:33:51.505
6abfedcc21da8554283a37493339a09310242f2b
null
Probably Outdoor
4,850
52.768514
-1.293992
-114.419257
2025-03-01 10:24:17.000
7d7b3ea3994796b226fa79bfa8126f91ca17fca9
null
Probably Outdoor
-12
53.137511
-1.155111
-115.883033
2025-03-01 09:19:15.220
d8f578c88e21981a0b5c8c9cb4ee0ea4f21a6e1c
null
null
-12
52.86276
-1.55478
-104.25886
2025-03-01 17:05:52.232
2e235cc8d205f038a92ec886306701372515e542
null
Surely Indoor
0.2
53.126183
-1.549625
-117.406492
2025-03-01 11:51:55.875
6cff743eaec9814e82d946b68b31de25d2e7cd1a
null
Probably Indoor
8,806
52.763893
-0.880601
-110.312491
2025-03-01 03:30:33.607
836fc83b6aadfb0f2c3b24b7e4876649ec4b6881
null
Probably Outdoor
0
52.631416
-1.11618
-99.964594
2025-03-01 16:42:53.091
3dd7abb210d5748a7f0f2b7459b7ea2f15f44ec9
null
Probably Indoor
0.2
53.000393
-1.138589
-99.201397
2025-03-01 02:17:26.424
f2fb32ba8ce31786e8bff488b9d3289963838c74
null
Probably Indoor
-5
52.906657
-1.176465
-98.329318
2025-03-01 07:59:05.498
b6b78eec6eb1e85d7b0de7fb49d12c4aadcd3b1b
null
Probably Indoor
17.2
52.813611
-1.642226
-110.459916
2025-03-01 03:26:00.012
0f4d286173a72779ff947a154f1cd1dc69135b38
null
Probably Indoor
-112
52.661951
-1.069716
-105.344765
2025-03-01 04:19:20.344
a2b9f98bc7080503a8e387e6022e1f647b6e827a
null
Probably Indoor
147
52.889151
-1.281068
-110.607236
2025-03-01 08:34:49.757
dbfe682b6eccee0c8f4aefb454ec1ff798cb0535
null
Probably Indoor
-95
52.825083
-1.650253
-103.00472
2025-03-01 11:46:42.664
aad1e851ef837287bf0d1ac6433300e0a5d78067
null
Probably Indoor
-13
52.943169
-1.424539
-114.625421
2025-03-01 16:37:49.313
bb70462c9f028f1c2f39ff71f90eeb226043892d
null
Probably Indoor
-105
52.792994
-1.664065
-87.467075
2025-03-01 15:30:52.103
4dd70b740267018e7344548987e0f48bb9f1bc52
null
Probably Indoor
3.323
52.979771
-1.207365
-110.068218
2025-03-01 05:05:51.470
0a39d07e2ab4eb44260245779a1f3545d791ac77
null
Probably Outdoor
0
52.631271
-1.073345
-105.987144
2025-03-01 13:53:51.999
9d6667cae0e3a31e481666f91f2731a90e03fa70
null
Surely Outdoor
-6
52.980614
-0.748873
-108.978041
2025-03-01 14:08:07.945
bbcd392cf39971d29feda5bc4da7096c7b3cc211
null
Probably Indoor
6.508
52.670369
-1.101514
-99.555907
2025-03-01 18:11:02.708
1504272b9c9f6f9ce18b20051de0393673646339
null
Probably Outdoor
2,051
52.768592
-1.294018
-106.718169
2025-03-01 13:25:20.676
4ba1140b7de8a932c32d5c1700e0371573ad0722
null
null
-8
53.011293
-1.105507
-108.461078
2025-03-01 11:04:47.028
6abfedcc21da8554283a37493339a09310242f2b
null
Probably Outdoor
3.638
52.768571
-1.293918
-78.0235
2025-03-01 09:04:40.588
11189ba2d85925b3c565f29579db0ad6982ea9c2
null
null
0.3
53.006844
-1.115789
-107.81385
2025-03-01 15:19:18.222
4a40770c1efd946553b0f9eeb3ebfa7e943d4018
null
null
57
52.914251
-1.012389
-97.85644
2025-03-01 05:06:39.961
86ccae052b4ea228f14b1d0de317047719101af4
null
Probably Indoor
144
52.710484
-1.370331
-115.714954
2025-03-01 02:52:43.037
6a3321e0793745e4b2c6c278bd245fb43730deec
null
Probably Indoor
-101
53.121521
-1.239391
-106.052521
2025-03-01 09:29:23.000
96934e68d523e637692a9dae589f6f0eee209906
null
Surely Outdoor
36
52.846854
-1.182757
-84.133827
2025-03-01 17:17:58.840
bb8abb3cfc1d2eb47edba5f216a0078d829575f2
null
Probably Indoor
11
52.756987
-1.516914
-104.724293
2025-03-01 19:42:42.116
77528a29437c0b72b69668705b5634570c369645
null
Probably Indoor
-95
52.926852
-1.279669
-86.689612
2025-03-01 09:02:40.741
6b64f9cd66b4a1b6e2b38fe2c2062dd2d12205e0
null
Probably Indoor
-110
52.95991
-1.181075
-101.793369
2025-03-01 18:30:46.714
38fa180271b194c4920c3fddde37a3c5681df07f
null
Probably Indoor
1
52.949758
-0.900037
-111.516856
End of preview. Expand in Data Studio

Dataset Card: Synthetic Mobile Network Performance

Dataset Description

This dataset contains synthetically generated mobile signal measurements designed to mirror real-world data in the UK. The data represents geolocated signal quality metrics from mobile devices, capturing a range of environmental and temporal conditions over several months in 2025.

All data has been anonymized, aggregated, and processed to protect user privacy. The synthetic dataset has undergone pre-processing, including coordinate validation and outlier removal.

Fields

The dataset contains the following columns:

  • timestamp: (date) The date and time of the measurement, recorded in UTC.
  • unique_cell: (string) A unique identifier for the mobile network cell to which the device was connected.
  • measurement_type_name: (string) The type of measurement recorded. This column appears to be null in the provided sample.
  • in_outdoor_state: (string) A categorical label indicating the predicted environment of the device, with values such as "Surely Indoor," "Probably Indoor," and "Surely Outdoor."
  • value: (float) A numerical value associated with the measurement. The specific KPI this represents is not defined.
  • latitude: (float) The latitude of the device's location at the time of measurement.
  • longitude: (float) The longitude of the device's location at the time of measurement.
  • signal_level: (float) The received signal strength, likely measured in dBm.

Potential Uses

This dataset is suitable for a variety of analyses, including:

  • Network Coverage Mapping: Visualizing signal strength across different geographic areas to identify zones with strong or weak coverage.
  • Performance Analysis: Correlating signal quality with factors like location (indoor/outdoor), time of day, and cell tower.
  • Mobility Pattern Simulation: Understanding how user movement impacts network performance.
  • Machine Learning Model Training: Developing models to predict signal quality based on location and environmental factors.
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