Stay tuned for more datasets for tensor time series.
| Subject | Name | Temporal Resolution | Statistics | Description | Type |
|---|---|---|---|---|---|
| Traffic | METR-LA | 5 minutes | (34272, 207) | traffic speed data | MTS |
| Traffic | PEMS-BAY | 5 minutes | (52116, 326) | traffic flow | MTS |
| Traffic | PEMS-03 | 5 minutes | (61,056, 325) | traffic flow | MTS |
| Traffic | PEMS-04 | 5 minutes | (61,056, 325) | traffic flow | MTS |
| Traffic | PEMS-07 | 5 minutes | (61,056, 325) | traffic flow | MTS |
| Traffic | PEMS-08 | 5 minutes | (61,056, 325) | traffic flow | MTS |
| Traffic | PEMS-20 | 5 minutes | (61,056, 325) | traffic flow | MTS |
| Traffic | LargeST | 5 minutes | (525888, 8600) | Traffic sensors | MTS |
| Traffic | TrafficBJ | 5 minutes | (21600, 3126) | Traffic speeds | MTS |
| Transport | TaxiBJ | 30 minutes | 4*(7220, 2, 32, 32) | Crowd flows | Tensor |
| Transport | JONAS-NYC | 30 minutes | 2*(4800, 16, 8, 2) | Demand & Supply | Tensor |
| Transport | JONAS-DC | 1 hour | 2*(2400, 9, 12, 2) | Demand & Supply | Tensor |
| Transport | COVID-CHI | 2 hours | (6600,14,8) | scooters Demand & Supply | Tensor |
| Travel | COVID-US | 1 hour | (4800, 51, 10) | Travel purpose | Tensor |
| Transport | BikeNYC | -| - | trip records from June,2013 to January,2024 | Bike trip records | Record |
| Transport | TaxiNYC | -| - | 22394,490 trip records | Taxi trip records | Record |
| Finance | M4 | 1 hour ~ 1 year | 100,000 time series | Time series | TS |
| Finance | M5 | 1 day | (30490, 1947), (30490, 1919) (train & valid) | Walmart sales forecast | MTS |
| Finance | NASDAQ 100 | 1 minute | (391191, 104), (390191, 104) | Stock prices | MTS |
| Finance | Stock Market Dataset | 1 day | 8049*(D, 7) | NASDAQ stock prices | MTS |
| Finance | CrypTop12 | 1 day | (1255, 12, 7)& Tweets | NASDAQ stock prices | Tensor |
| Finance | Stocknet-Dataset | 1 day | (731, 88, 5) | Two-year price movements of 88 stocks | Tensor |
| Finance | CSI300 | 1 day | Stock market index | TS | |
| Telecom | Milan&Trentino | 15 minutes | (T, 100, 100, 5) | 5 types of CDRs | Tensor |
| Health | PTB-XL | 2 ms, 10 ms | Sample rate 100Hz, 500Hz for 10s | ECG dataset | TS |
| Health | MIMIC-III | various | Clinical data | Series | |
| Health | MIT-BIH Arrhythmia Database | 2.78 ms | 48 records, 2 input channels | ECG dataset | MTS |
| Health | PTB Diagnostic ECG Database | 1 ms | 549 records, 16 input channels | ECG dataset | MTS |
| Weather | Shifts-Weather | -| - | (3129592, 129) | Weather prediction | MTS |
| Energy | ElectricityLoad | 15 minutes | (140256,370) | Electricity consumption | MTS |
| Natural | COVID-DEATHS | 1 day | (140256,370) | Electricity consumption | MTS |