uavews 0.1.0-Rehearsal: A Synthetic Multisource, Multimodal Spatiotemporal Dataset and Executable Validation Pipeline for Small-UAV Early Warning

Early-warning research for approaching small unmanned aerial vehicles (sUAVs) requires more than isolated images, sounds, or radio-frequency traces. A reusable resource must connect event context, synchronized observations, evidence strength, media quality, provenance, privacy treatment, and leakage-resistant evaluation units. This Data Descriptor presents uavews 0.1.0-rehearsal, an openly deposited software-and-data record that implements such a model and exercises it end-to-end on a fixed-seed synthetic corpus. The record is a rehearsal of dataset formation and validation, not a measurement campaign. It contains 180 synthetic events—90 controlled-flight simulations, 26 verified observations, 14 weak observations, and 50 hard negatives—together with 4119 analysis windows, 102 source profiles, 971 observations, 391 media objects (214 audio, 121 image, and 56 video objects), and 7242 released labels. The nominal synthetic coverage spans 30 generalized locations in three site groups from 1 April to 15 May 2025. Six canonical Parquet tables, five evaluation manifests, a machine-readable data dictionary, DataCite and PROV-O metadata, an RO-Crate description, validation outputs, source media bytes, and SHA-256 manifests are supplied. The versioned Python pipeline implements ten ordered stages, five reported equations, configurable quality gates, de-identification checks, near-duplicate grouping, and event-, location-, time-, source-, and hard-negative-aware splits. Validation of the rehearsal produced 100% schema and checksum pass rates, median and fifth-percentile completeness of 1.0, synchronization median/p95/max of 3.671/42.184/340.344 ms, exact and near-duplicate rates of 0.512% and 9.463%, cross-modal consistency of 89.88%, and Krippendorff’s alpha of 0.324 for vehicle presence. Seven of eleven release gates passed; the four failures deliberately expose properties that a real release would have to repair or adjudicate. The deposit includes 54 test functions but this article does not claim that the suite was independently executed during manuscript preparation. The accompanying field-trial calculations are planning assumptions, not observations. One of them, the reduced-design sortie count of 7200, omits the configured altitude and background factors and is reported as a known defect of the deposited code rather than as a usable experimental design. The record therefore provides a transparent, executable instrument for designing and auditing a future empirical dataset without representing synthetic values as measured performance.