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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Suzuki, Toshiya;

    広島大学大学院総合科学研究科紀要. II, 環境科学研究, 13 巻(2018)に掲載予定の「四庫全書本『説文解字繫傳』に見える小篆異体字」、および、機関リポジトリで公開している『説文解字繋傳』小篆対比表の補助データとして汪啓淑本の影印を公開する。 本資料の作成にあたり、科研費課題番号 16K004600A の補助を受けています。

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    Authors: Yasunobu Sumikawa; Ryohei Ikejiri;

    This dataset includes present events described as news articles and their categories to connect similar past and present causalities. There are 2 files: 13category_crawled_news.csv and 13category_mainichi_news_events.csv. Both the files include an ID for a present event and its categories per line. The former one uses IDs defined in CD-Mainichi Newspapers 2012 data whereas the latter one uses URLs. In these files, 0 represents that its category is not assigned to the event. In contrast, 1 is used to represent that the category is assigned to the event. For example, if a cell (k, l) is 0, the kth event is not related to the lth category.

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    ZENODO
    Dataset . 2019
    Data sources: Datacite
    ZENODO
    Dataset . 2019
    Data sources: ZENODO
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      ZENODO
      Dataset . 2019
      Data sources: Datacite
      ZENODO
      Dataset . 2019
      Data sources: ZENODO
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  • Authors: Kyushu University Library;

    九大コレクション「蔵書印画像」のメタデータの全件ファイル、4半期ごとに更新 TSVファイル(UTF-8)

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    Authors: Kawahito, Masato; Yano, Shinji; Yoshitomi, Hiroyuki;

    Data of "Panorpidae of Ehime Prefecture, Shikoku, Japan".

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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    Authors: Suzuki, Toshiya;

    本表は、北宋・張有『復古編』とその増補本である呉均『增修復古編』について、小篆字形を切り出して対照表としたものである。增修復古編が含む小篆1737項はすべて示すが、復古編にあって增修復古編に採られていない小篆(218項)は略している。材料とした資料は以下の通りである。 A) 『説文解字』(南宋刊元修大徐本) 海源閣旧蔵 国学基本典籍叢刊影印 B) 『説文解字五音韻譜』(南宋刊本) 中国書店影印 C) 『復古編』 黄丕烈旧蔵影宋写本 四部叢刊三編所収 D) 『復古編』 元・好古齋刊本 中華再造善本所収 E) 『增修復古編』 汪啓淑旧蔵明初刻本 北京図書館珍本叢刊所収 『增修復古編』 繆荃孫旧蔵明初刻本 北京図書館現蔵 善本書号7331 『增修復古編』 呉騫旧蔵写本(登録号rarecatx0223446) 本表は科研費課題番号19K12716の成果です。

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    The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Until July 1st 2017, the lexical data extracted from Wiktionary was modeled using the lemon vocabulary. This dataset contains the full archive of all DBnary dumps in Lemon format containing lexical information from Japanese language edition, ranging from 11th October 2013 to 1st July 2017. After July 2017, DBnary data has been modeled using the ontolex model and will be available in another Zenodo entry.

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    ZENODO
    Dataset . 2021
    License: CC BY SA
    Data sources: ZENODO
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    ZENODO
    Dataset . 2021
    License: CC BY SA
    Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY SA
      Data sources: ZENODO
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      ZENODO
      Dataset . 2021
      License: CC BY SA
      Data sources: Datacite
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  • Authors: Asahiko Matsuda;
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66 Research products
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    Authors: Suzuki, Toshiya;

    広島大学大学院総合科学研究科紀要. II, 環境科学研究, 13 巻(2018)に掲載予定の「四庫全書本『説文解字繫傳』に見える小篆異体字」、および、機関リポジトリで公開している『説文解字繋傳』小篆対比表の補助データとして汪啓淑本の影印を公開する。 本資料の作成にあたり、科研費課題番号 16K004600A の補助を受けています。

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    Authors: Yasunobu Sumikawa; Ryohei Ikejiri;

    This dataset includes present events described as news articles and their categories to connect similar past and present causalities. There are 2 files: 13category_crawled_news.csv and 13category_mainichi_news_events.csv. Both the files include an ID for a present event and its categories per line. The former one uses IDs defined in CD-Mainichi Newspapers 2012 data whereas the latter one uses URLs. In these files, 0 represents that its category is not assigned to the event. In contrast, 1 is used to represent that the category is assigned to the event. For example, if a cell (k, l) is 0, the kth event is not related to the lth category.

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    ZENODO
    Dataset . 2019
    Data sources: Datacite
    ZENODO
    Dataset . 2019
    Data sources: ZENODO
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      ZENODO
      Dataset . 2019
      Data sources: Datacite
      ZENODO
      Dataset . 2019
      Data sources: ZENODO
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  • Authors: Kyushu University Library;

    九大コレクション「蔵書印画像」のメタデータの全件ファイル、4半期ごとに更新 TSVファイル(UTF-8)

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    Authors: Kawahito, Masato; Yano, Shinji; Yoshitomi, Hiroyuki;

    Data of "Panorpidae of Ehime Prefecture, Shikoku, Japan".

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
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    Authors: Suzuki, Toshiya;

    本表は、北宋・張有『復古編』とその増補本である呉均『增修復古編』について、小篆字形を切り出して対照表としたものである。增修復古編が含む小篆1737項はすべて示すが、復古編にあって增修復古編に採られていない小篆(218項)は略している。材料とした資料は以下の通りである。 A) 『説文解字』(南宋刊元修大徐本) 海源閣旧蔵 国学基本典籍叢刊影印 B) 『説文解字五音韻譜』(南宋刊本) 中国書店影印 C) 『復古編』 黄丕烈旧蔵影宋写本 四部叢刊三編所収 D) 『復古編』 元・好古齋刊本 中華再造善本所収 E) 『增修復古編』 汪啓淑旧蔵明初刻本 北京図書館珍本叢刊所収 『增修復古編』 繆荃孫旧蔵明初刻本 北京図書館現蔵 善本書号7331 『增修復古編』 呉騫旧蔵写本(登録号rarecatx0223446) 本表は科研費課題番号19K12716の成果です。

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