{"created":"2026-03-02T06:44:21.916580+00:00","id":7413,"links":{},"metadata":{"_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"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2026-03-02"},"publish_date":"2026-03-02","publish_status":"0","recid":"7413","relation_version_is_last":true,"title":["The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2026-03-02T06:44:23.861390+00:00"}