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