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The SMAP and MSL datasets consist of expert-labeled telemetry anomaly data from NASA's Soil Moisture Active Passive satellite and Mars Science Laboratory rover. The number of SMAP variables is 1375, while the that of MSL features is 1485, making them significantly more extensive compared to single-entity datasets. These open datasets only reflect the characteristics of the specific networks to which they are applied. While SWAT and WADI datasets pertain to networks in a simulated water plant, SMAP and MSL datasets deal with telemetry data.
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