A High-Fidelity Multi-Model Benchmark Dataset for General Aviation Anomaly Detection Generated via Physics-Based Fault Injection
- DOI
- 10.1038/s41597-026-07733-y
- Published
- 2026-06-25
- Container
- Scientific Data
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41597-026-07733-y,
title = {A High-Fidelity Multi-Model Benchmark Dataset for General Aviation Anomaly Detection Generated via Physics-Based Fault Injection},
author = {Jing Lu and Yali Fang and Ziyi Huang and Yuan Zhang and Songhan Fan and Xuan Wu},
year = {2026},
journal = {Scientific Data},
doi = {10.1038/s41597-026-07733-y},
url = {https://doi.org/10.1038/s41597-026-07733-y}
}RIS
TY - JOUR TI - A High-Fidelity Multi-Model Benchmark Dataset for General Aviation Anomaly Detection Generated via Physics-Based Fault Injection AU - Jing Lu AU - Yali Fang AU - Ziyi Huang AU - Yuan Zhang AU - Songhan Fan AU - Xuan Wu PY - 2026 JO - Scientific Data DO - 10.1038/s41597-026-07733-y UR - https://doi.org/10.1038/s41597-026-07733-y ER -
APA
Lu, J., Fang, Y., Huang, Z., Zhang, Y., Fan, S., & Wu, X. (2026). A High-Fidelity Multi-Model Benchmark Dataset for General Aviation Anomaly Detection Generated via Physics-Based Fault Injection. Scientific Data. https://doi.org/10.1038/s41597-026-07733-y
Source records
- crossref · retrieved 2026-11-08T23:41:40.938Z