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This record contains the underlying research data for the publication "People in more racially diverse neighborhoods are more prosocial" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5359Five studies tested the hypothesis that people living in more diverse neighborhoods would have more inclusive identities, and would thus be more prosocial. Study 1 found that people residing in more racially diverse metropolitan areas were more likely to tweet prosocial concepts in their everyday lives. Study 2 found that following the 2013 Boston Marathon bombings, people in more racially diverse neighborhoods were more likely to spontaneously offer help to individuals stranded by the bombings. Study 3 found that people living in more ethnically diverse countries were more likely to report having helped a stranger in the past month. Providing evidence of the underlying mechanism, Study 4 found that people living in more racially diverse neighborhoods were more likely to identify with all of humanity, which explained their greater likelihood of having helped a stranger in the past month. Finally, providing causal evidence for the relationship between neighborhood diversity and prosociality, Study 5 found that people asked to imagine that they were living in a more racially diverse neighborhood were more willing to help others in need, and this effect was mediated by a broader identity. The studies identify a novel mechanism through which exposure to diversity can influence people, and document a novel consequence of this mechanism.
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This dataset tracks annual diversity score from 2005 to 2023 for University Neighborhood Middle School vs. New York and New York City Geographic District # 1 School District
This filtered view groups and sums parent dataset by Race (Not Hispanic or Latino) and Year (2022) and shows the count and percentage of city resident race. This information is used by the "City Employee vs. Community Demographics: Ethnicity" filtered view at https://citydata.mesaaz.gov/Diversity/Chart-Data-for-City-Employee-vs-Community-Demograp/bt2n-zimw
Comparing the percentage of city residents (community) ethnicity to the percentage of city employee ethnicity. Employee information comes from Employee Demographics: Ethnicity https://citydata.mesaaz.gov/Human-Resources/Employee-Demographics-Ethnicity/6kd3-uaks. Community information comes from Community Demographics: Ethnicity at https://citydata.mesaaz.gov/Census/Community-Demographics-Ethnicity/g34w-9rxw
Comprehensive demographic data including income distribution, education levels, age distribution, and household composition
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This dataset tracks annual diversity score from 2019 to 2023 for Our World Neighborhood Charter School 2 School District vs. New York
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Using records of growth of tree individuals from 15 tree-diversity experiments across four biomes. We examine how neighborhood-scale (defined as a focal tree and the adjacent trees) taxonomic and functional diversity effects on tree growth vary with climate spatially (across sites) and temporally (within sites).The dataset contains information for each experiment, interannual climate data, and species-level trait data used in this study. The climate data of annual climate precipitation (P) and potential evapotranspiration (PET) were downloaded from ERA5Land, and SPEI were accessed from the global SPEI dataset. Trait data were mainly obtained from the Plant Trait Database (TRY), Botanical Information and Ecology Network80, and the global wood density database.The R code files are also attached for running hierarchical Bayesian models, using Markov chain Monte Carlo (MCMC) sampling techniques in JAGS (version 4.3.2) and R (version 4.4.0) via the rjags package.
Data productivityData from FORBIO biodiversity experiment (Belgium) including six-years proudctivity data. Please consider the main manuscript and supporting information for more details about data collection and processing.Analyses 6y DRYAD.xlsx
This dataverse contains the data and supporting documents for the CCES 2014 Indiana University. This project was supported by the National Science Foundation, Grant Number, SES-1430505
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This dataset tracks annual diversity score from 2008 to 2023 for Community College of Aurora vs. Colorado
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This dataset tracks annual diversity score from 2008 to 2023 for Frederick Community College vs. Maryland
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This dataset tracks annual diversity score from 2008 to 2023 for Northeast Community College vs. Nebraska
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This dataset tracks annual diversity score from 2008 to 2023 for Salt Lake Community College vs. Utah
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This dataset tracks annual diversity score from 2008 to 2023 for Oakland Community College vs. Michigan
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This dataset tracks annual diversity score from 2008 to 2023 for Jamestown Community College vs. New York
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This dataset tracks annual diversity score from 2008 to 2023 for Mid-Plains Community College vs. Nebraska
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This dataset tracks annual diversity score from 2008 to 2023 for Pratt Community College vs. Kansas
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This dataset tracks annual diversity score from 2019 to 2023 for San Diego Neighborhood Homeschools vs. California and San Diego Neighborhood Homeschools School District
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This dataset tracks annual diversity score from 2008 to 2023 for Craven Community College vs. North Carolina
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This dataset tracks annual diversity score from 2008 to 2023 for River Valley Community College vs. New Hampshire
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This record contains the underlying research data for the publication "People in more racially diverse neighborhoods are more prosocial" and the full-text is available from: https://ink.library.smu.edu.sg/lkcsb_research/5359Five studies tested the hypothesis that people living in more diverse neighborhoods would have more inclusive identities, and would thus be more prosocial. Study 1 found that people residing in more racially diverse metropolitan areas were more likely to tweet prosocial concepts in their everyday lives. Study 2 found that following the 2013 Boston Marathon bombings, people in more racially diverse neighborhoods were more likely to spontaneously offer help to individuals stranded by the bombings. Study 3 found that people living in more ethnically diverse countries were more likely to report having helped a stranger in the past month. Providing evidence of the underlying mechanism, Study 4 found that people living in more racially diverse neighborhoods were more likely to identify with all of humanity, which explained their greater likelihood of having helped a stranger in the past month. Finally, providing causal evidence for the relationship between neighborhood diversity and prosociality, Study 5 found that people asked to imagine that they were living in a more racially diverse neighborhood were more willing to help others in need, and this effect was mediated by a broader identity. The studies identify a novel mechanism through which exposure to diversity can influence people, and document a novel consequence of this mechanism.