{"_buckets": {"deposit": "4a637042-67c6-4d88-b8a7-82c2509b580d"}, "_deposit": {"created_by": 7, "id": "7413", "owners": [7], "pid": {"revision_id": 0, "type": "depid", "value": "7413"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00007413", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2025-03-05", "bibliographicIssueDateType": "Issued"}, "bibliographic_titles": [{"bibliographic_title": "Earth Syst. Sci. Data Discuss.", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Earth Syst. Sci. Data Discuss.", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Abstract. We present a building damage dataset following the 2024 Noto Peninsula Earthquake. The database was compiled from freely available, multi-source, remote sensing data, verified through opt-in crowd-sourced information. The dataset consists of geo-referenced vector polygons representing the pre-event building footprints of 140,208 structures. Each building was classified through visual inspection using pre-disaster and post disaster vertical, oblique, survey, and verifiable news reporting imagery. Entries were validated using voluntary-submission data sourced through a web-API hosting a live version of the database. We calculate classification metrics for a subset of the database where ground survey photographs were provided by independent surveyors. An average F1-score of 0.94 suggests that the proposed assessment is consistent and high quality. We aim to inform future disaster research such as disaster dynamics models; statistical and machine learning damage models; logistics and evacuation studies. The present work describes the data collection process, damage assessment methodology, and rationale; including limitations encountered, the crowd sourcing validation process, and the dataset structure.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Copernicus GmbH", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.5194/essd-2024-363"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Ruben Vescovo", "creatorNameLang": "ja"}, {"creatorName": "Ruben Vescovo", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Bruno Adriano", "creatorNameLang": "ja"}, {"creatorName": "Bruno Adriano", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Sesa Wiguna", "creatorNameLang": "ja"}, {"creatorName": "Sesa Wiguna", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Chia Yee Ho", "creatorNameLang": "ja"}, {"creatorName": "Chia Yee Ho", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Jorge Morales", "creatorNameLang": "ja"}, {"creatorName": "Jorge Morales", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Xuanyan Dong", "creatorNameLang": "ja"}, {"creatorName": "Xuanyan Dong", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shin Ishii", "creatorNameLang": "ja"}, {"creatorName": "Shin Ishii", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Kazuki Wako", "creatorNameLang": "ja"}, {"creatorName": "Kazuki Wako", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yudai Ezaki", "creatorNameLang": "ja"}, {"creatorName": "Yudai Ezaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Ayumu Mizutani", "creatorNameLang": "ja"}, {"creatorName": "Ayumu Mizutani", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Erick Mas", "creatorNameLang": "ja"}, {"creatorName": "Erick Mas", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Satoshi Tanaka", "creatorNameLang": "ja"}, {"creatorName": "Satoshi Tanaka", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shunichi Koshimura", "creatorNameLang": "ja"}, {"creatorName": "Shunichi Koshimura", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment", "subitem_title_language": "ja"}, {"subitem_title": "The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "7", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/7413", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2026-03-02"}, "publish_date": "2026-03-02", "publish_status": "0", "recid": "7413", "relation": {}, "relation_version_is_last": true, "title": ["The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment"], "weko_shared_id": -1}