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This is a bi-monthly export. CERD is a database of engineers from the Chinese Republican period (1912–1949). Based on various digitised historical sources, it is a prosopographic catalogue of individuals, their education and their employment, and the institutions connected with it. Most biographical events have geographical information attached to them. The data can be used freely by researchers to answer individual research questions. Citation recommendation: Pelzer, Thorben, et al., eds. (2021–2023). Chinese Engineers Relational Database (CERD) (Version 1.7.0). Zenodo. http://doi.org/10.5281/zenodo.4075601. Changelog: 1.7.0 (February 2023): Approx. 17,600 individuals, two additional sources 1.6.0 (August 2022): Approx. 17,400 entries, completed sources, minor corrections, mergers, translations 1.5.0 (June 2022): Approx. 17,300 entries, added additional memberships 1.4.0 (April 2022): Approx. 16,800 entries, added additional sources, schooling 1.3.0 (February 2022): Approx. 16,500 entries, added documentation, additional memberships 1.2.0 (December 2021): Approx. 16,300 entries, added frequent CSV exports, source annotations, 5 missing minglu pages, additional association memberships 1.1.0 (October 2021): Approx. 15,700 entries, added selected association memberships 1.0.0 (August 2021): Approx. 15,400 entries [complete gongchengren minglu dataset milestone] 0.5.0 (June 2021): Approx. 13,000 entries 0.4.0 (April 2021): Approx. 10,500 entries 0.3.0 (February 2021): Approx. 7,500 entries, as well as various corrections, mergers, translations 0.2.0 (December 2020): Approx. 5,000 entries, as well as various corrections, mergers, translations 0.1.0 (October 2020): Early version with approx. 3,000 entries Online Access: Via Heurist: https://home.uni-leipzig.de/cerd/ Funded through the DFG (SFB 1199: "Processes of Spatialization under the Global Condition") and partly the BMBF ("The Pioneers of China's Rise to Technological Power: Technical Educational Institutions and Their Students in the Age of Global Transformation, 1860–1911").

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With the PRC regime mandate of quarantine trying to justify its individually targetable mass surveillance system, the causal deaths tolled for the measurements in the stead of the COVID-19 itself. Three children were locked alone at home on November 25 EST+8, 2022 for the quarantine measurements, and a fire killed them all the same night. People gathered on the streets and on social media people shared the details of multiple perspectives and experiences. Gunshots were fired reminding the population of the 1989 Tiananmen Square Massacre. Overnight Chinese cyber police have been deleting information on a mass scale, and the data consist of some collection saved by the researcher's acquaintance. With the conducts contrary to Declaration of Taipei and Declaration of Geneva, and accumulated military proliferation contrary to the Declaration of Helsinki, the post-positivist research adopts a deconstructive analysis on a case-by-case basis in online-based social interactions, with a cognitive-affective psychotherapeutic method for positive psychology without behavioral intervention in respect of the self-protective psychological processes, with the Therapist's Oath.

This dataset includes the raw frequency counts (classical_chinese_learners_vocabularies_raw_frequencies.zip) used in the article Thoughts on ���Reliable��� Learner���s Vocabularies for Classical and Literary Chinese. Corpus I ��� Micheal Loewe (1993)���s Early Chinese Texts Corpus II ��� Official Histories (zhengshi ������) Corpus III Six Novels (xiaoshuo ������), as defined in Hsia 1968 The download includes one folder per corpus, structured as follows: xx_corpus.csv > list of texts and sources / used versions, token and type counts xx_freq_1-1.csv > unigram / character frequencies and counts xx_freq_1-4.csv > 1 to 4 character word frequencies and counts, "words" according to Hanyu da cidian ��������������� (Luo 1986���1994)) xx_freq_2-4.csv > 2 to 4 character words Additionally, pca_zhengshi_vs_loewe_vs_xiaoshuo.html is an interactive version of the Principal Component Analysis (PCA) presented in the article, texts from the three corpora are represented using the 1.000 most frequent 1���4 character combinations from the dataset. {"references": ["Schalmey, Tilman (2013). \"Corpus-driven Creation of a Reliable Learner's Vocabulary for Classical Chinese\", Taiwan huayu jiaoxue yanjiu \u81fa\u7063\u83ef\u8a9e \u6559\u5b78\u7814\u7a76 / Taiwan Journal of Chinese as a Second Language 7.2, 109\u2013137.", "Loewe, Michael, editor (1993). Early Chinese Texts: A Bibliographical Guide. The Society for the Study of Early China; The Institute of East Asian Studies, Berkeley.", "Hsia Chih-tsing (1968). The Classic Chinese Novel: A Critical Introduction. Columbia University Press, New York and London.", "Luo Zhufeng, editor (1986\u20131994). Hanyu da cidian \u6f22\u8a9e\u5927\u8a5e\u5178, volume 1-13. Cishu chubanshe, Shanghai ."]}

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This is the Speech in Cantonese and English (SpiCE) corpus. SpiCE is an audio corpus of conversational Cantonese-English bilingual speech recorded in Vancouver, Canada during 2018-2020. The corpus includes high-quality recordings of 34 early bilinguals in both English and Cantonese. Participants completed a sentence reading task, storyboard narration, and conversational interview in each language. These different speech tasks are available in a single audio file for each language for each talker. A Praat textgrid file accompanies each audio file. The textgrids provide hand-corrected orthographic transcription and phoneme-level forced-alignment in Cantonese and English. As an open-access language resource, SpiCE will promote bilingualism research for a typologically distinct pair of languages, of which Cantonese remains understudied despite there being millions of speakers around the world. The SpiCE corpus is especially well-suited for phonetic research on conversational speech, and enables researchers to study cross-language within-speaker phenomena for a diverse group of early Cantonese-English bilinguals. These are areas with few existing high-quality resources. Corpus documentation is available at: <a href="https://spice-corpus.readthedocs.io/">https://spice-corpus.readthedocs.io/</a>.

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