{"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":[]},{"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":"2026-04-15","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"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"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5vcmcvMjAwMS9YTUxTY2hlbWEtaW5zdGFuY2UiIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00L21ldGFkYXRhLnhzZCI+CiAgPGlkZW50aWZpZXIgaWRlbnRpZmllclR5cGU9IkRPSSI+MTAuNTI4MS9aRU5PRE8uMTk1ODI4OTE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZSBuYW1lVHlwZT0iUGVyc29uYWwiPkJyYWdhbsOnYSwgQ8Ohc3NpbzwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+Q8Ohc3NpbzwvZ2l2ZW5OYW1lPgogICAgICA8ZmFtaWx5TmFtZT5CcmFnYW7Dp2E8L2ZhbWlseU5hbWU+CiAgICAgIDxuYW1lSWRlbnRpZmllciBuYW1lSWRlbnRpZmllclNjaGVtZT0iT1JDSUQiIHNjaGVtZVVSST0iIj4wMDAwLTAwMDMtMjMwNC02MTI3PC9uYW1lSWRlbnRpZmllcj4KICAgICAgPGFmZmlsaWF0aW9uIGFmZmlsaWF0aW9uSWRlbnRpZmllcj0iaHR0cHM6Ly9yb3Iub3JnLzAzNnJwMTc0OCIgYWZmaWxpYXRpb25JZGVudGlmaWVyU2NoZW1lPSJST1IiPlVuaXZlcnNpZGFkZSBkZSBTw6NvIFBhdWxvPC9hZmZpbGlhdGlvbj4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWUgbmFtZVR5cGU9IlBlcnNvbmFsIj5TaWx2YSwgTWFyaXNzYTwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+TWFyaXNzYTwvZ2l2ZW5OYW1lPgogICAgICA8ZmFtaWx5TmFtZT5TaWx2YTwvZmFtaWx5TmFtZT4KICAgICAgPGFmZmlsaWF0aW9uIGFmZmlsaWF0aW9uSWRlbnRpZmllcj0iaHR0cHM6Ly9yb3Iub3JnLzA1c3hmNGgyOCIgYWZmaWxpYXRpb25JZGVudGlmaWVyU2NoZW1lPSJST1IiPlVuaXZlcnNpZGFkZSBGZWRlcmFsIGRvIEVzcMOtcml0byBTYW50bzwvYWZmaWxpYXRpb24+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lIG5hbWVUeXBlPSJQZXJzb25hbCI+RmFjY28gQ2FsbW9uLCBWaXRvcjwvY3JlYXRvck5hbWU+CiAgICAgIDxnaXZlbk5hbWU+Vml0b3I8L2dpdmVuTmFtZT4KICAgICAgPGZhbWlseU5hbWU+RmFjY28gQ2FsbW9uPC9mYW1pbHlOYW1lPgogICAgICA8bmFtZUlkZW50aWZpZXIgbmFtZUlkZW50aWZpZXJTY2hlbWU9Ik9SQ0lEIiBzY2hlbWVVUkk9IiI+MDAwOS0wMDA1LTQ2MDMtNTg5NTwvbmFtZUlkZW50aWZpZXI+CiAgICAgIDxhZmZpbGlhdGlvbiBhZmZpbGlhdGlvbklkZW50aWZpZXI9Imh0dHBzOi8vcm9yLm9yZy8wNXN4ZjRoMjgiIGFmZmlsaWF0aW9uSWRlbnRpZmllclNjaGVtZT0iUk9SIj5Vbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBFc3DDrXJpdG8gU2FudG88L2FmZmlsaWF0aW9uPgogICAgPC9jcmVhdG9yPgogIDwvY3JlYXRvcnM+CiAgPHRpdGxlcz4KICAgIDx0aXRsZT5CcmlkZ2UgU3RydWN0dXJhbCBIZWFsdGggTW9uaXRvcmluZyBEYXRhc2V0OiBUcmFpbi1JbmR1Y2VkIFZpYnJhdGlvbiBEYXRhIFVuZGVyIE11bHRpcGxlIERhbWFnZSBTY2VuYXJpb3M8L3RpdGxlPgogIDwvdGl0bGVzPgogIDxwdWJsaXNoZXI+WmVub2RvPC9wdWJsaXNoZXI+CiAgPHB1YmxpY2F0aW9uWWVhcj4yMDI2PC9wdWJsaWNhdGlvblllYXI+CiAgPHJlc291cmNlVHlwZSByZXNvdXJjZVR5cGVHZW5lcmFsPSJEYXRhc2V0Ii8+CiAgPGRhdGVzPgogICAgPGRhdGUgZGF0ZVR5cGU9Iklzc3VlZCI+MjAyNi0wNC0xNTwvZGF0ZT4KICA8L2RhdGVzPgogIDxyZWxhdGVkSWRlbnRpZmllcnM+CiAgICA8cmVsYXRlZElkZW50aWZpZXIgcmVsYXRlZElkZW50aWZpZXJUeXBlPSJET0kiIHJlbGF0aW9uVHlwZT0iSGFzVmVyc2lvbiI+MTAuNTI4MS96ZW5vZG8uMTk1ODI4OTI8L3JlbGF0ZWRJZGVudGlmaWVyPgogIDwvcmVsYXRlZElkZW50aWZpZXJzPgogIDxzaXplcy8+CiAgPGZvcm1hdHMvPgogIDx2ZXJzaW9uLz4KICA8cmlnaHRzTGlzdD4KICAgIDxyaWdodHMgcmlnaHRzVVJJPSJodHRwczovL2NyZWF0aXZlY29tbW9ucy5vcmcvbGljZW5zZXMvYnkvNC4wL2xlZ2FsY29kZSIgcmlnaHRzSWRlbnRpZmllcj0iY2MtYnktNC4wIiByaWdodHNJZGVudGlmaWVyU2NoZW1lPSJzcGR4Ij5DcmVhdGl2ZSBDb21tb25zIEF0dHJpYnV0aW9uIDQuMCBJbnRlcm5hdGlvbmFsPC9yaWdodHM+CiAgPC9yaWdodHNMaXN0PgogIDxkZXNjcmlwdGlvbnM+CiAgICA8ZGVzY3JpcHRpb24gZGVzY3JpcHRpb25UeXBlPSJBYnN0cmFjdCI+U2ltdWxhdGVkIGFjY2VsZXJhdGlvbiB0aW1lLXNlcmllcyBkYXRhc2V0IGZyb20gYSByYWlsd2F5IGJyaWRnZSBzdHJ1Y3R1cmUgdW5kZXIgdHJhaW4gbG9hZGluZyB3aXRoIHZhcnlpbmcgb3BlcmF0aW9uYWwgYW5kIGVudmlyb25tZW50YWwgY29uZGl0aW9ucy4gQ29udGFpbnMgdmlicmF0aW9uIG1lYXN1cmVtZW50cyBmcm9tIDE4IHNlbnNvciBub2RlcyAoMy1heGlzIGFjY2VsZXJvbWV0ZXJzKSBzYW1wbGVkIGF0IDI1NiBIei4KCkZpbGVzOgoKCgoKCmhlYWx0aHkucGFycXVldDogSW50YWN0IHN0cnVjdHVyZSBiYXNlbGluZSAoQ2xhc3MgMCk7CgoKCgpzbGlnaHRseV9kYW1hZ2VkLnBhcnF1ZXQ6IEJhc2VsaW5lIHZhcmlhdGlvbnMgZnJvbSBlbnZpcm9ubWVudGFsL29wZXJhdGlvbmFsIGZhY3RvcnMgd2l0aCBkYW1hZ2UgJmx0OyAwLjAxIChDbGFzcyAwKTsKCgoKCmRhbWFnZWRfZDEucGFycXVldCB0byBkYW1hZ2VkX2Q1LnBhcnF1ZXQ6IEZpdmUgZGlzdGluY3QgZGFtYWdlIHR5cGVzIChDbGFzcyAxKS4KCgoKQ29sdW1uczoKCgoKCgpFeHBlcmltZW50SUQ6IFVuaXF1ZSBzaW11bGF0aW9uIHJ1biBpZGVudGlmaWVyOwoKCgoKVmVsb2NpZGFkZTogVHJhaW4gc3BlZWQgKGttL2gpIC0gRW52aXJvbm1lbnRhbCBPcGVyYXRpbmcgVmFyaWFibGUgKEVPVik7CgoKCgpQZXNvX1ZhZ2FvOiBXYWdvbiBtYXNzIHBlcmNlbnRhZ2UgLSBFT1Y7CgoKCgpNb2R1bG9fRWxhc3RpY2lkYWRlOiBZb3VuZydzIG1vZHVsdXMgcGVyY2VudGFnZSAtIEVPVjsKCgoKCklycmVndWxhcmlkYWRlOiBUcmFjayBwcm9maWxlIElEIC0gRU9WOwoKCgoKRGFub19QZXJjZW50dWFsOiBEYW1hZ2Ugc2V2ZXJpdHkgKDAuMDEgdG8gMS4wKSAtIGRhbWFnZWQgZmlsZXMgb25seTsKCgoKCk5vZGVJRDogU2Vuc29yIGlkZW50aWZpZXIgKDE4IG5vZGVzKTsKCgoKClRpbWU6IFRpbWVzdGFtcCAoc2FtcGxpbmcgcmF0ZTogMjU2IEh6KTsKCgoKCkFjY2VsX1gsIEFjY2VsX1ksIEFjY2VsX1o6IFRyaS1heGlhbCBhY2NlbGVyYXRpb24uCgoKClN1aXRhYmxlIGZvciBkYW1hZ2UgZGV0ZWN0aW9uIHJlc2VhcmNoLCBhbm9tYWx5IGRldGVjdGlvbiBhbGdvcml0aG1zLCBhbmQgc3RydWN0dXJhbCBoZWFsdGggbW9uaXRvcmluZyB1bmRlciBlbnZpcm9ubWVudGFsL29wZXJhdGlvbmFsIHZhcmlhYmlsaXR5LgoKRm9ybWF0OiBBcGFjaGUgUGFycXVldFNvdXJjZTogQ29udmVydGVkIGZyb20gTUFUTEFCL0hERjUgc2ltdWxhdGlvbiBkYXRhPC9kZXNjcmlwdGlvbj4KICA8L2Rlc2NyaXB0aW9ucz4KPC9yZXNvdXJjZT4K","url":"https://zenodo.org/doi/10.5281/zenodo.19582891","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-04-22T14:25:52.000Z","registered":"2026-04-22T14:25:52.000Z","published":"2026","updated":"2026-08-13T22:26:28.000Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}},"provider":{"data":{"id":"cern","type":"providers"}},"media":{"data":{"id":"10.5281/zenodo.19582891","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[{"id":"10.5281/zenodo.19582892","type":"dois"},{"id":"10.5281/zenodo.19582891","type":"dois"}]},"versionOf":{"data":[{"id":"10.5281/zenodo.19582891","type":"dois"}]}}}}