I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Recurso digital |
| Reo: | Ingarihi |
| I whakaputaina: |
Zenodo
2026
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.5281/zenodo.18927628 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- <p>This dataset contains the manually labeled ripple training dataset and the derived automated ripple event catalog used in:</p> <blockquote> <p>Hu et al., <em>Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network</em>, Submitted to EGU Atmospheric Measurement Techniques.</p> </blockquote> <p>The dataset supports reproducible machine-learning-based detection of ripple-scale gravity wave instabilities observed in mesospheric OH airglow imagery over Yucca Ridge Field Station (YRFS), Colorado (40.7°N, 104.9°W).</p>