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datasheet.json

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+{
+  "dataset_name": "ZeroTwin-UAV-Synthetic",
+  "version": "1.0.0",
+  "n_nodes": 5,
+  "samples_per_node": 5000,
+  "total_samples": 25000,
+  "sampling_rate_hz": 10.0,
+  "duration_minutes_per_node": 8.333333333333334,
+  "sensors": [
+    "vibration_g",
+    "temperature_c",
+    "voltage_v",
+    "acoustic_db"
+  ],
+  "fault_classes": {
+    "0": "normal",
+    "1": "rotor_imbalance",
+    "2": "esc_thermal",
+    "3": "bearing_wear",
+    "4": "battery_sag"
+  },
+  "physics_models": {
+    "rotor_imbalance": "Harmonic amplitude growth A(t) = A0(1 + alpha*t)",
+    "esc_thermal": "RC thermal model T(t) = T_amb + (T_ss - T_amb)(1 - exp(-t/tau))",
+    "bearing_wear": "BPFO high-frequency defect + friction heating",
+    "battery_sag": "Exponential OCV decay + linear R_int growth"
+  },
+  "license": "CC-BY-4.0",
+  "citation": "Bello et al., ZeroTwin: DAG-Federated PHM for UAV Swarms, 2027"
+}