Energy
12 columns
150 rows
8 formats

Lightning Strike Detection and Geolocation

This dataset provides real-time, geolocated lightning strike records detected by ground-based networks, including precise location, electrical characteristics, and region-based density metrics. It enables outage correlation and crew safety monitoring, supporting operational decision-making for utilities and emergency management. The dataset is ideal for spatial analysis, risk assessment, and infrastructure protection.

last updated 2 Nov 2025
by GoMask

The brief that made it

Real-time outage correlation for utility reliability analysis

Sample rows

preview · 8 of 150 rows · all 12 columns

strike_idstring	network_sourcestring	strike_density_per_km2float	outage_correlation_flagboolean	polaritystring	strike_datetimedatetime	latitudefloat	longitudefloat	peak_current_kafloat	density_map_idstring	density_map_regionstring	crew_safety_alert_flagboolean
STRIKE-0001A	Vaisala	8.22	true	negative	2024-02-18T13:27:41Z	35.6895	139.6917	41.2	JP-TOKYO-01	Tokyo City Center	true
STRIKE-0002B	Earth Networks	7.85	true	positive	2023-07-15T21:05:09Z	40.7128	-74.006	51.7	US-NYC-01	New York Downtown	true
STRIKE-0003C	Other	0	false	unknown	2021-11-11T11:11:11Z	0	0	0.001	NULL-ISL-01	Null Island	false
STRIKE-0004D	Vaisala	2.35	false	negative	2022-03-09T07:44:23Z	48.8566	2.3522	33.8	FR-PARIS-01	Paris Center	false
STRIKE-0005E	Earth Networks	3.11	false	positive	2020-05-04T14:11:35Z	-33.8688	151.2093	46.2	AU-SYDNEY-01	Sydney CBD	false
STRIKE-0006F	Vaisala	10.44	true	positive	2024-05-27T18:34:18Z	19.4326	-99.1332	112.9	MX-MEXICO-01	Mexico City	true
STRIKE-0007G	Other	0	false	unknown	2022-06-30T22:22:22Z	-90	0	0	ANT-SP-01	South Pole	false
STRIKE-0008H	Earth Networks	2.92	false	negative	2023-08-25T09:51:10Z	51.5074	-0.1278	38.6	UK-LONDON-01	London City	false
STRIKE-0009I	Vaisala	8.67	true	positive	2024-01-09T17:15:29Z	37.7749	-122.4194	129.1	US-SF-01	San Francisco	true
STRIKE-0010J	Earth Networks	3.02	false	negative	2022-10-18T02:18:26Z	34.0522	-118.2437	39.4	US-LA-01	Los Angeles Downtown	false
STRIKE-0011K	Other	0	false	unknown	2021-01-01T00:00:00Z	90	180	0	ARC-NP-01	North Pole	false
STRIKE-0012L	Earth Networks	1.99	false	negative	2023-04-23T13:44:35Z	25.7617	-80.1918	35	US-MIA-01	Miami Central	false
STRIKE-0013M	Vaisala	3.49	false	positive	2022-09-11T16:17:21Z	50.1109	8.6821	47.8	DE-FRA-01	Frankfurt City	true
STRIKE-0014N	Earth Networks	7.02	true	negative	2024-04-11T05:01:57Z	35.6762	139.6503	45.1	JP-TOKYO-02	Tokyo Shinjuku	true
STRIKE-0015O	Other	0.01	false	unknown	2020-12-12T12:12:12Z	17.7134	178.065	0.001	FJ-ISL-01	Fiji Islands	false
STRIKE-0016P	Vaisala	9.75	true	positive	2023-12-01T15:29:17Z	39.9042	116.4074	52.7	CN-BJ-01	Beijing Central	true
STRIKE-0017Q	Earth Networks	3.51	false	positive	2022-08-20T22:10:45Z	52.52	13.405	41.5	DE-BER-01	Berlin Center	true
STRIKE-0018R	Vaisala	0.45	false	negative	2021-05-24T19:22:50Z	-12.4634	130.8456	27.2	AU-DARWIN-01	Darwin	false
STRIKE-0019S	Other	0	false	unknown	2023-03-03T03:03:03Z	0	0	0	NULL-ISL-02	Null Island	false
STRIKE-0020T	Earth Networks	2.83	false	positive	2022-02-19T10:16:54Z	41.8781	-87.6298	36.9	US-CHI-01	Chicago Loop	false

What the 150 rows show

from the 150-row sample

Other (network source) stands out: mean strike_density_per_km2 is 0.00, against 4.1 for the rest.

27%outage_correlation_flag = true
2.5median strike_density_per_km2
35.5median peak_current_ka

Mean strike_density_per_km2 by network_source150 rows

strike_density_per_km2150 rows, in bands of 2

Median 2.5, from 0.0 to 11.1.

polarity150 rows · 3 values

negative65
positive56
unknown29

12 columns by typefrom the column list below

string 5
float 4
datetime 1
boolean 2

Columns

12 columns in four groups

blueprint · 12 columns
column	type	description	example
Text 5 columns
`strike_id`	string	Unique identifier for each lightning strike eventunique	STRIKE-0001A
`network_source`	string	Name of the ground-based detection network (e.g., Vaisala, Earth Networks)Vaisala · Earth Networks · Other	Vaisala
`polarity`	string	Electrical polarity of the lightning strikepositive · negative · unknown	negative
`density_map_id`	string	Identifier for the density map region associated with the strikeoptional	JP-TOKYO-01
`density_map_region`	string	Name or code of the density map region (e.g., grid cell, city, zone)optional	Tokyo City Center
Numbers 4 columns
`latitude`	float	Latitude of the lightning strike location-90 to 90	35.6895
`longitude`	float	Longitude of the lightning strike location-180 to 180	139.6917
`peak_current_ka`	float	Peak current of the lightning strike in kiloamperes (kA)0 or more	41.2
`strike_density_per_km2`	float	Calculated lightning strike density in the region (strikes per square kilometer)0 or more · optional	8.22
Dates and times 1 column
`strike_datetime`	datetime	Timestamp of the detected lightning strike (UTC)	2024-02-18T13:27:41Z
True or false 2 columns
`outage_correlation_flag`	boolean	Indicates if the strike is correlated with a power outage eventoptional	true
`crew_safety_alert_flag`	boolean	Indicates if a safety alert was issued to field crews due to this strikeoptional	true

Use it for

An energy dashboard
The outage_correlation_flag rate, strike_density_per_km2 by network_source and a breakdown of polarity. Excel, Power BI or Tableau.
Why do the 29 Other rows have a mean strike_density_per_km2 of 0.00?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Strikes150
STRIKE-0001A8.22Vaisala
STRIKE-0002B7.85Earth Ne…
STRIKE-0003C0Other
A software demo
Believable strikes with network_source, strike_datetime and latitude to fill a screen in front of a buyer.

This dataset150 rows12 columns

Yours1,000 rows12 columnsdensity_map_region: UK only

blueprint · lightning-strike-detection-and-geolocation

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 12 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Strike timestamp with millisecond precision
Strike location: latitude, longitude (accuracy <500m typical)
Polarity: positive (+CG) or negative (-CG) cloud-to-ground
Peak current in kiloamperes (kA), typically 20-30kA average
Multiplicity: number of strokes in single flash
Lightning density maps (strikes per km² per hour)
Correlation with outage events and equipment failures
Crew safety buffer zones (8-mile radius from recent strikes)

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: lightning-strike-detection-and-geolocation

What should your data show?

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Sample rows

What the 150 rows show

Columns

Use it for

An energy dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?