{"data":{"id":"10.5281/zenodo.19582891","type":"dois","attributes":{"doi":"10.5281/zenodo.19582891","prefix":"10.5281","suffix":"zenodo.19582891","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Bragança, Cássio","nameType":"Personal","givenName":"Cássio","familyName":"Bragança","affiliation":["Universidade de São Paulo"],"nameIdentifiers":[{"nameIdentifier":"0000-0003-2304-6127","nameIdentifierScheme":"ORCID"}]},{"name":"Silva, Marissa","nameType":"Personal","givenName":"Marissa","familyName":"Silva","affiliation":["Universidade Federal do Espírito Santo"],"nameIdentifiers":[{"nameIdentifier":"0009-0009-8030-3637","nameIdentifierScheme":"ORCID"}]},{"name":"Facco Calmon, Vitor","nameType":"Personal","givenName":"Vitor","familyName":"Facco Calmon","affiliation":["Universidade Federal do Espírito Santo"],"nameIdentifiers":[{"nameIdentifier":"0009-0005-4603-5895","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Bridge Structural Health Monitoring Dataset: Train-Induced Vibration Data Under Multiple Damage Scenarios"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-09-15","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.22779419","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.19582892","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Simulated acceleration time-series dataset from a railway bridge structure under train loading with varying operational and environmental conditions. Contains vibration measurements from 18 sensor nodes (3-axis accelerometers) sampled at 256 Hz.\n\nFiles:\n\n\n\n\n\nhealthy.parquet: Intact structure baseline (Class 0);\n\n\n\n\nslightly_damaged.parquet: Baseline variations from environmental/operational factors with damage \u003c 0.01 (Class 0);\n\n\n\n\ndamaged_d1.parquet to damaged_d5.parquet: Five distinct damage types (Class 1).\n\n\n\nColumns:\n\n\n\n\n\nExperimentID: Unique simulation run identifier;\n\n\n\n\nVelocidade: Train speed (km/h) - Environmental Operating Variable (EOV);\n\n\n\n\nPeso_Vagao: Wagon mass percentage - EOV;\n\n\n\n\nModulo_Elasticidade: Young's modulus percentage - EOV;\n\n\n\n\nIrregularidade: Track profile ID - EOV;\n\n\n\n\nDano_Percentual: Damage severity (0.01 to 1.0) - damaged files only;\n\n\n\n\nNodeID: Sensor identifier (18 nodes);\n\n\n\n\nTime: Timestamp (sampling rate: 256 Hz);\n\n\n\n\nAccel_X, Accel_Y, Accel_Z: Tri-axial acceleration.\n\n\n\nSuitable for damage detection research, anomaly detection algorithms, and structural health monitoring under environmental/operational variability.\n\nFormat: Apache ParquetSource: Converted from MATLAB/HDF5 simulation data","descriptionType":"Abstract"},{"lang":"eng","description":"Version notes on v2\n\n- Corrected mislabeled damage observations.Some observations were assigned to incorrect damage classes in the previous version and have been corrected in v2.","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"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