SkySoft ATM MALAT Vertical Rate
<p><strong>Description</strong></p> <p>SkySoft ATM has curated this dataset for the Innosuisse MALAT project, aimed at improving forecasts for aircraft climb and descent rates.</p> <p>The dataset comprises detailed altitude tracking (`TRACK_ALTITUDE`) for over 25,000 flights across European airspace, amassed over four different weeks. Each flight track is matched with its corresponding cleared flight level (`CFL`) and supplemented with anonymized `AIRCRAFT_TYPE` and can be grouped using the `FLIGHT_ID` field. </p> <p> </p> <p><strong>Reference</strong></p> <p>If you use this dataset, please cite the following publication:</p> <pre>@INPROCEEDINGS{Pannatier_ECMLPKDD_2024, author = {Pannatier, Arnaud and Courdier, Evann and Fleuret, Francois}, keywords = {Autoregressive models, Permutations, Rejection Sampling, transformers}, projects = {MALAT}, month = sep, title = {σ-GPTs: A New Approach to Autoregressive Models.}, booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases}, year = {2024}, pdf = {https://publications.idiap.ch/attachments/papers/2024/Pannatier_ECMLPKDD_2024.pdf} }</pre>
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 0
- Engagement
- 0