This dataset contains information about 100 loan contracts between Chinese state-owned entities and government borrowers in 24 developing countries in Africa, Asia, Eastern Europe, Latin America, and Oceania between 2000 and 2020, with commitments totaling $36.6 billion.

This study aimed to describe the prevalence of financial maltreatment, and to identify culture related risk factors of financial maltreatment, among a group of Chinese American elders living in the Phoenix metropolitan area. Researchers sought solutions to financial neglect and exploitation of Chinese American elders who have enormous adaptive challenges and lack a harmonious and supportive family environment, as well as frameworks for understanding the cultural environment that can be used by social workers, law enforcement, and service providers.

Graph and download economic data for Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate (EXCHUS) from Jan 1981 to May 2025 about China, exchange rate, currency, rate, and USA.

The National Asian American Survey (NAAS) Post-Election Survey, 2016 contains nationally representative data from telephone interviews of adult U.S. residents who self-identified as Asian/Asian American, Native Hawaiian or Pacific Islander, White, African American/Black, Hispanic/Latino, and Multiracial. The survey included sizable samples of Asian Americans in 9 Asian national origin groups (Chinese, Filipino, Indian, Vietnamese, Korean, Japanese, Hmong, Cambodian), as well as Native Hawaiian/Pacific Islanders. The survey instrument included questions about immigrant background, social identities, social attitudes, political behavior, and policy attitudes. Demographic information included age, race, language, gender, country of birth, religion, marital status, educational level, employment status, citizenship status, household income, and size of household. The study contains 2 data files, public-use and restricted-use versions of the same dataset (386 variables, 6448 cases).

The purpose of this study was to examine Cantonese-speaking Chinese American immigrant parents' socialization of emotions in bilingual bicultural preschool children, using a combination of a parent questionnaire and parent language samples from emotion-elicited storytelling tasks. Sixteen Cantonese-speaking parents and their children participated in this study. Children were sequential bilinguals who were exposed to Cantonese (L1) at home since birth, and then learned English (L2) at school. The Chinese parent questionnaire examined parents' emotion talk in the home, as well as the child's dual language background and language distribution. Parents' language samples in Cantonese were collected from three parent-child storytelling tasks that each elicited a different type of negative emotion (sad, angry, scared). Results from the parent questionnaire and the parent language samples were analyzed using quantitative and qualitative methods. In the parent questionnaire, correlation analysis revealed that parents' use of guilt emotions was not associated with any of the other emotion words, suggesting that parents may not talk about guilt as frequently as the other emotions. Results from the parents' language samples showed no significant differences between parents' number of emotion words and emotion explanations across the storytelling tasks, suggesting that parents used negative emotion words similarly across all three books. Further qualitative analysis between the parent questionnaire and the language samples revealed patterns in the way parents use Chinese emotion words with their children. Findings illustrate how the combined use of a parent questionnaire and parent language samples offer complementary information to provide a more comprehensive understanding about Chinese American immigrant parents' socialization of emotions.

This dataset is derived from the Whoʻs Who of American Returned Students 遊美同學錄 [Youmei Tongxue Lu] published in Peking [Beijing] in 1917, compiled by the Returned Students’ Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting the early liumei's experiences during the transitional period between the late Qing dynasty and the early years of the Republic (1911-).

The dataset records all the institutions to which the students were affiliated in the course of their lives, including the educational institutions in which they studied in China, the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in clubs and associations. The names of organizations were retrieved automatically from the Chinese biographies using named entity recognition (SpaCy model), then manually cleaned, classified, and validated by the author.

The attached file contains three tabs for (1) the list of affiliations (data); (2) the classification of organizations (class), and (3) the description of variables (key). The dataset records a total of 2,883 affiliations, linking 401 unique individuals to 1,344 unique institutions, distributed as followed:

    category
    n


    education
    565


    association
    271


    administration
    132


    business
    110


    facility
    92


    media
    66


    government
    49


    factory
    30


    other
    22


    military
    7

This dataset tracks annual american indian student percentage from 2013 to 2018 for Hope Chinese Charter School vs. Oregon and Beaverton SD 48j School District

The following dataset is based on American University Club of Shanghai. American University Men in China. Shanghai: Comacrib Press, 1936.

It contains the list of the 418 members - both Chinese and non Chinese - of the American University Club of China (Shanghai) based on the above directory that the club published in 1936. Established around 1902, the American University Club (AUC) was one of the earliest and largest organizations of American university alumni in pre-1949 China.

The attached file comprises several tabs:

• Members: List of members with their national origin, education, membership status and current employer (or main affiliation). Each row corresponds to a unique academic curriculum. Each individual can have several rows, as many as the number of curricula he enrolled.
• Officers, Memoriam: List of officers (officers) and past members (memoriam)
• Fields: Description of variables
• Meta_: Description of meta-categories devised for analytical purposes (academic degrees, US states/regions, employment sector)

This dataset includes the race of applicants for Insurance Affordability Programs (IAPs) who reported their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Cambodian, Filipino, Guamanian or Chamorro, Hmong, Japanese, Korean, Laotian, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White by reporting period. The race data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes data from applications submitted directly to CalHEERS, to Covered California, and to County Human Services Agencies through the Statewide Automated Welfare System (SAWS) eHIT interface. Please note the reporting category Other Asian option on the CalHEERS application was removed in September 2017. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

This dataset includes the race of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White, by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

DialogRE is the first human-annotated dialogue-based relation extraction dataset, containing 1,788 dialogues originating from the complete transcripts of a famous American television situation comedy Friends. The are annotations for all occurrences of 36 possible relation types that exist between an argument pair in a dialogue. DialogRE is available in English and Chinese.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Bilibili Battle: Will the Chinese YouTube Knockoff Conquer America? (BILI)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Key themes.

China recorded a trade surplus of 103.22 USD Billion in May of 2025. This dataset provides - China Balance of Trade - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Demographic information of Chinese and American adults in Study 1 and Chinese adolescents Study 2.

United States Imports from China was US$462.62 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from China - data, historical chart and statistics - was last updated on June of 2025.

China Exports to United States was US$501.22 Billion during 2023, according to the United Nations COMTRADE database on international trade. China Exports to United States - data, historical chart and statistics - was last updated on May of 2025.

Imports from United States in China decreased to 11862668.27 USD Thousand in February from 14271016.33 USD Thousand in January of 2024. This dataset includes a chart with historical data for China Imports From Us.

China Imports from United States was US$164.59 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from United States - data, historical chart and statistics - was last updated on June of 2025.