{"_buckets": {"deposit": "8765664c-a4a8-4213-8590-6b3891b11b94"}, "_deposit": {"created_by": 15, "id": "2000040", "owner": "15", "owners": [15], "owners_ext": {"displayname": "\u5317\u898b\u5de5\u696d\u5927\u5b66\u5b66\u8853\u6a5f\u95a2\u30ea\u30dd\u30b8\u30c8\u30ea\uff08KIT-R\uff09", "username": "kitir"}, "pid": {"revision_id": 0, "type": "depid", "value": "2000040"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:02000040"}, "control_number": "2000040", "item_16_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "Date of data creation: Nov, 2017\nExplanation of the data: Acceleration data from 15 sensors on the Yorozugawa Bridge Specimen in the free-damped vibration experiment referred in a paper*. Each CSV file has 15 columns corresponding to each accelerometer.\n* Zhang Y, Miyamori Y, Mikami S, Saito T. Vibration-based structural state identification by a 1-dimensional convolutional neural network. 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