gecco: GECCO Challenge 2018 – Water Quality Time Series

In harbinger: A Unified Time Series Event Detection Framework

GECCO Challenge 2018 – Water Quality Time Series

Description

Benchmark time series for water quality monitoring composed of multiple sensors and an associated binary event label. This dataset supports research in anomaly and event detection for environmental data streams. See cefet-rj-dal/united for usage guidance and links to the preprocessing steps used to build the package-ready object. Labels available: Yes.

Usage

data(gecco)

Format

A list of time series.

Details

This package ships a mini version of the dataset. Use loadfulldata() to download and load the full dataset from the URL stored in attr(url).

Source

GECCO Challenge 2018 (legacy challenge page unavailable)

References

Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM). See also: Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys, 41(3), 1–58.

Examples

data(gecco)
# Select the first univariate series and inspect
series <- gecco[[1]]
summary(series$value)
# Plot values with event markers
plot(ts(series$value), main = names(gecco)[1], ylab = "value")

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.