Station-based experimental dataset in NumPy format — Part 2 of 2
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866902172325642240 |
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| author | Anu |
| author_facet | Anu |
| contents | Note: This dataset has been split into 2 parts. This is part 2 of 2. Other parts: • Part 1: https://doi.org/10.5281/zenodo.20424449 This dataset contains five station-level data files stored as NumPy arrays (.npy), one file per station (station_001 to station_005). Each file has the same size and likely contains structured experimental measurements recorded at individual stations. The data are provided in binary NumPy format for efficient storage and loading. The dataset is intended for scientific analysis of station-wise measurements and related patterns in the underlying experiment. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20424451 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Station-based experimental dataset in NumPy format — Part 2 of 2 Anu NumPy npy station data experimental dataset scientific measurements array data station-wise Note: This dataset has been split into 2 parts. This is part 2 of 2. Other parts: • Part 1: https://doi.org/10.5281/zenodo.20424449 This dataset contains five station-level data files stored as NumPy arrays (.npy), one file per station (station_001 to station_005). Each file has the same size and likely contains structured experimental measurements recorded at individual stations. The data are provided in binary NumPy format for efficient storage and loading. The dataset is intended for scientific analysis of station-wise measurements and related patterns in the underlying experiment. |
| title | Station-based experimental dataset in NumPy format — Part 2 of 2 |
| topic | NumPy npy station data experimental dataset scientific measurements array data station-wise |
| url | https://doi.org/10.5281/zenodo.20424451 |