Multivariate Time Series Sensor Data from Five Monitoring Stations (chunk 2 of 2)
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901271739367424 |
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| author | Anu |
| author_facet | Anu |
| contents | This dataset comprises multivariate sensor measurements collected at five monitoring stations. Each station file (.npy) contains a 1000×78 float32 array representing 1000 time points across 78 recorded variables. Values range from approximately -26.7 to 17.6. The data are provided in NumPy (.npy) format and are suitable for statistical analysis, anomaly detection, and modeling in environmental or engineering research contexts. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19628608 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Multivariate Time Series Sensor Data from Five Monitoring Stations (chunk 2 of 2) Anu sensor measurements time series anomaly detection multivariate data environmental monitoring This dataset comprises multivariate sensor measurements collected at five monitoring stations. Each station file (.npy) contains a 1000×78 float32 array representing 1000 time points across 78 recorded variables. Values range from approximately -26.7 to 17.6. The data are provided in NumPy (.npy) format and are suitable for statistical analysis, anomaly detection, and modeling in environmental or engineering research contexts. |
| title | Multivariate Time Series Sensor Data from Five Monitoring Stations (chunk 2 of 2) |
| topic | sensor measurements time series anomaly detection multivariate data environmental monitoring |
| url | https://doi.org/10.5281/zenodo.19628608 |