No datasets match
- 1.daltoolbox::BostonBoston Housing Data (Regression)
- 2.harbinger::A1BenchmarkYahoo Webscope S5 – A1 Benchmark (Real)
- 3.harbinger::A2BenchmarkYahoo Webscope S5 – A2 Benchmark (Synthetic)
- 4.harbinger::A3BenchmarkYahoo Webscope S5 – A3 Benchmark (Synthetic with Outliers)
- 5.harbinger::A4BenchmarkYahoo Webscope S5 – A4 Benchmark (Synthetic with Anomalies and CPs)
- 6.harbinger::examples_anomaliesTime series for anomaly detection
- 7.harbinger::examples_changepointsTime series for change point detection
- 8.harbinger::examples_harbingerTime series for event detection
- 9.harbinger::examples_motifsTime series for motif/discord discovery
- 10.harbinger::geccoGECCO Challenge 2018 – Water Quality Time Series
- 11.harbinger::mit_bih_MLIIMIT-BIH Arrhythmia Database – MLII Lead
- 12.harbinger::mit_bih_V1MIT-BIH Arrhythmia Database – V1 Lead
- 13.harbinger::mit_bih_V2MIT-BIH Arrhythmia Database – V2 Lead
- 14.harbinger::mit_bih_V5MIT-BIH Arrhythmia Database – V5 Lead
- 15.harbinger::nab_artificialWithAnomalyNumenta Anomaly Benchmark (NAB) – artificialWithAnomaly
- 16.harbinger::nab_realAdExchangeNumenta Anomaly Benchmark (NAB) – realAdExchange
- 17.harbinger::nab_realAWSCloudwatchNumenta Anomaly Benchmark (NAB) realAWSCloudwatch
- 18.harbinger::nab_realKnownCauseNumenta Anomaly Benchmark (NAB) realKnownCause
- 19.harbinger::nab_realTrafficNumenta Anomaly Benchmark (NAB) realTraffic
- 20.harbinger::nab_realTweetsNumenta Anomaly Benchmark (NAB) realTweets
- 21.harbinger::oil_3w_Type_1Oil Wells Dataset – Type 1
- 22.harbinger::oil_3w_Type_2Oil Wells Dataset – Type 2
- 23.harbinger::oil_3w_Type_4Oil Wells Dataset – Type 4
- 24.harbinger::oil_3w_Type_5Oil Wells Dataset – Type 5
- 25.harbinger::oil_3w_Type_6Oil Wells Dataset – Type 6
- 26.harbinger::oil_3w_Type_7Oil Wells Dataset – Type 7
- 27.harbinger::oil_3w_Type_8Oil Wells Dataset – Type 8
- 28.harbinger::ucr_ecgUCR Anomaly Archive – ECG
- 29.harbinger::ucr_int_bleedingUCR Anomaly Archive – Internal Bleeding
- 30.harbinger::ucr_nasaUCR Anomaly Archive – NASA Spacecraft
- 31.harbinger::ucr_power_demandUCR Anomaly Archive – Italian Power Demand
- 32.heimdall::st_drift_examplesSynthetic time series for concept drift detection
- 33.tspredit::bioenergyFAOSTAT Bioenergy Database
- 34.tspredit::CATSCATS Time Series Competition
- 35.tspredit::climateFAOSTAT Temperature Change on Land
- 36.tspredit::emissionsFAOSTAT Emissions Totals
- 37.tspredit::EUNITE.LoadsEUNITE Competition – Half-Hourly Electrical Loads
- 38.tspredit::EUNITE.RegEUNITE Competition – Regressors for Load Forecasting
- 39.tspredit::EUNITE.TempEUNITE Competition – Average Daily Temperatures
- 40.tspredit::fertilizersFAOSTAT Fertilizers by Nutrient
- 41.tspredit::gdpGross Domestic Product and Agriculture Value Added
- 42.tspredit::ipeadata.dIpea Daily Macroeconomic Dataset
- 43.tspredit::ipeadata.mIpea Monthly Macroeconomic Dataset
- 44.tspredit::m1M1 Competition Time Series
- 45.tspredit::m3M3 Competition Time Series
- 46.tspredit::m4M4 Competition Time Series
- 47.tspredit::NN3NN3 Time Series Competition - Dataset A
- 48.tspredit::NN5NN5 Time Series Competition
- 49.tspredit::pesticidesPesticides Use Statistics
- 50.tspredit::SantaFe.ASanta Fe Time Series Competition - Series A
- 51.tspredit::SantaFe.DSanta Fe Time Series Competition - Series D
- 52.tspredit::stocksIBOVESPA's 50 Most Traded Stocks
- 53.tspredit::tsdTime series for forecasting examples