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- Creator:
- Platt, Edward L.
- Description:
- We analyzed the structure of English language WikiProject coeditor networks and compare to the efficiency and performance of those projects. The list of WikiProjects give an integer key, title, and unique URL for each project. The network files are indexed by the integer keys. The quality assessment logs are indexed by project title and article title. and Curation Notes: Readme file was updated Oct. 11, 2018 to include additional context on research, file contents, and organization (see first section of readme), and explanation of additional license in the deposit referring to the 'logbook' module.
- Keyword:
- wikipedia
- Discipline:
- Social Sciences
-
- Creator:
- de Oliveira, Stephanie and Nisbett, Richard E.
- Description:
- These studies assess the effect of social identity on judgement and are described in "Demographically diverse crowds are typically not much wiser than homogeneous crowds" (de Oliveira, S., & Nisbett, R. E. Proceedings of the National Academy of Sciences, 2018) and the article’s Supporting Information appendix. Some studies use a variety of questions to assess multiple social identity factors; the other studies are narrowed to particular social identity variables. Each study includes some type of estimation or prediction task, collects social identity variables, and asks participants to indicate their answer strategies. Study 1 is a trivia and prediction task based on football team fan identity. Study 2 reports on demographics plus political and religious identity and asks participants to predict vote percentages in presidential primaries. Study 3 participants estimate the percentage of Americans that support statements on various polarizing political views and give likelihood ratings for presidential candidates to win the Iowa caucus; a variety of identity questions are asked including political and religious identity. Study 4 includes demographics plus political and religious identity questions and asks participants to predict how the candidates would perform in the 2016 United States presidential election. Study 5 asks participants to guess the popularity rating of books that had either gender-specific or gender-neutral appeal, and also to rate their own interest in the books. Demographic-based social identity variables such as sex are included. Study 6 includes a wide variety of social identity variables and asks participants to estimate the likelihood of events occurring in the near future. Study 7 participants are from diverse national backgrounds and completed judgement tasks that predicted stock prices, Olympic performance, and news events outcomes. The data are generally interpretable when examined in conjunction with the target article. A new data file for Study 6 was uploaded on April 4, 2018 to include variables that were inadvertently left out of the original Study 6 file. A new data file for Study 7 was uploaded on April 6, 2018 to include variables that were inadvertently left out of the original Study 7 file. A codebook for this data set was added on April 6, 2018.
- Keyword:
- Judgment/Decision Making and Estimate aggregation
- Discipline:
- Social Sciences
-
- Creator:
- Gosner, Linda R. and Smith, Alexander J.
- Description:
- Included here are 1) a detailed description of each of the dataset's components, 2) a database of all finds from the 2015 survey, 3) a database of faunal bone compiled by specialist Damià Ramis, 4) a description of the finds by category to accompany these databases, 5) a PDF of notes taken in the field, 6) field photographs of survey units, 7) object photographs of all finds, and 8) drawings of diagnostic ceramics by time period.
- Keyword:
- Sardinia, Mediterranean archaeology, archaeological survey, pedestrian survey, and Classical archaeology
- Discipline:
- Social Sciences
-
- Creator:
- Veinot,Tiffany,C., Michigan Department of Health & Human Services, U.S. Census Bureau, American Community Survey, Data Driven Detroit, Okullo, Dolorence, and Michigan Department of Vital Statistics
- Description:
- Health status data includes data about the health of persons within a census tract in Metropolitan Detroit, measured at the census tract level. This includes data about 1) mortality by condition; 2) exposures to toxic substances; and 3) disability. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Community Health, Mortality Rates by Condition , Disability, Elevated Blood Lead Levels, Census Tract level, All-Cause Mortality Rates, and Spatial Measures
- Discipline:
- Health Sciences and Social Sciences
-
- Creator:
- Detroit Residential Parcel Survey, United States Postal Service, Wayne County Register of Deeds, US Census, Yu, Deehan, Public and Affordable Housing Research Corporation (PAHRC), Veinot, Tiffany, RealtyTRAC, National Low Income Housing Coalition (NLIHC), Okullo, Dolorence, Wayne County Treasurer, Health Resource and Services Administration (HRSA), and Data Driven Detroit
- Description:
- This dataset includes census tract-level data concerning housing in Metropolitan Detroit. The data includes: 1) Total housing units and total mortgages in the tract; 2) Land use; 3) Real estate information (foreclosures, sales transactions, and home values); 4) Vacant housing; 5) Housing age and available facilities; 6) Housing condition; and 7) Spatial measures of subsidized housing in the tract. Data coverage should say 2006 to 2015.
- Keyword:
- Housing Conditions, Community Health, Subsidized Housing Locations, Availability of Kitchen and Plumbing Facilities, Vacant Properties, Census tract level, Age of Housing, Spatial Measures, Home Sale Transactions, Land Use by Category, Housing Units and Ownership, Housing Values, and Foreclosed Properties
- Discipline:
- Social Sciences and Health Sciences
-
- Creator:
- Pearce, Alexa L.
- Description:
- This dataset accompanies a study that seeks to contribute to a clearer understanding of the discovery ecosystem in academic research libraries. Using historical literature as a case study, extensive citation analysis is employed to both reveal characteristics of secondary historical literature as well as to test a broad disciplinary discovery environment that includes six specific search platforms. By enhancing our understanding of where and how specific types of resources are –or are not—discoverable, as the case may be, this study can provide evidence to better inform the appropriate role and placement of various search platforms in a user’s process. This citation analysis drew upon all secondary literature that was cited in the American Historical Review (AHR) during a six-year period, from 2010 through 2015. The AHR is the official publication of the American Historical Association (AHA) and, as stated on its website, has served as “the journal of record for the historical profession in the United States since 1895.” Additionally, the AHR represents all subfields of history in its research articles and reviews of new scholarship. For this study, the author gathered citations from research articles only, excluding reviews. For the purposes of testing the library discovery environment, the author aimed to include citations that a researcher would be likely to identify by using library research tools, as opposed to archival finding aids. Recognizing that some tools included in this study, such as JSTOR and Historical Abstracts, do not index archival sources, the author decided to focus on published and secondary materials. All citations to archival sources, government information, and other unpublished manuscript materials were excluded. Additionally, citations to newspaper and general or popular press articles published prior to 1900 were excluded. Citations to entire periodicals, as opposed to articles, were also excluded. Books from all date ranges were included. Citations to non-scholarly newspaper and magazine articles published after 1900 were included. Citations to published primary sources were also included in the population of citations, as one may reasonably expect to locate them in a research library setting. The resulting population comprised 22,572 citations. After separating out duplicate citations, the total number was 19,937. Using a random number generator, the de-duplicated list of citations was re-ordered in order to select a random sample of 400, which affords a confidence level of 95% and a confidence interval of 5. The first step in analysis was to characterize each citation according to format, publication date, and language. Secondly, the author searched for all citations in the sample in the 6 different search platforms listed above. The primary question for each database included in the study was how comprehensively it represented the population of AHR citations, as represented by the random sample selected for this study. In order for a given citation to count as present in a particular database, it had to be represented in the format in which it was cited. For example, if a search for a cited book turned up only a dissertation, with the same author and very similar title, the analysis found that the citation was not present. For book chapters cited with authors and titles, it was not necessary for chapters to have their own records in order to be counted as present but it was necessary for them to be discernible among search results as chapters, such as in a table of contents listing. In order to expedite the search process, the author searched Historical Abstracts and America: History and Life simultaneously on the EBSCO platform. For all of the platforms except Google Scholar, the author performed advanced searches, entering both title and author information for each citation. All searching took place between February and May of 2017. The results presented here reflect the content available to search in each platform at the time of investigation.
- Keyword:
- discovery, history, secondary literature, information retrieval, reference analysis, citation analysis, library science, university libraries, and research libraries
- Discipline:
- Social Sciences
-
- Creator:
- Engel, Daniel D. , Evans, Mary Anne, Low, Bobbi S., and Schaeffer, Jeff
- Description:
- This dataset was compiled as an attempt to understand how natural resource managers and research ecologists in the Great Lakes region integrate the ecosystem services (ES) paradigm into their work. The following text is the adapted abstract from a thesis associated with this data. Ecosystem services, or the benefits people obtain from ecosystems, have gained much momentum in natural resource management in recent decades as a relatively comprehensive approach to provide quantitative tools for improving decision-making and policy design. However, to date we know little about whether and how natural resource practitioners, from natural resource managers to research ecologists (hereafter managers and ecologists respectively), have adopted the ES paradigm into their respective work. Here, we addressed this knowledge gap by asking managers and ecologists about whether and how they have adopted the ES paradigm into their respective work. First, we surveyed federal, state, provincial and tribal managers in the Great Lakes region about their perception and use of ES as well as the relevance of specific services to their work. Although results indicate that fewer than 31% of the managers said they currently consider economic values of ES, 79% of managers said they would use economic information on ES if they had access to it. Additionally, managers reported that ES-related information was generally inadequate for their resource management needs. We also assessed managers by dividing them into identifiable groups (e.g. managers working in different types of government agencies or administrative levels) to evaluate differential ES integration. Overall, results suggest a desire among managers to transition from considering ES concepts in their management practices to quantifying economic metrics, indicating a need for practical and accessible valuation techniques. Due to a sample of opportunity at the USGS Great Lakes Science Center (GLSC), we also evaluated GLSC research ecologists’ integration of the ES paradigm because they play an important role by contributing requisite ecological knowledge for ES models. Managers and ecologists almost unanimously agreed that it was appropriate to consider ES in resource management and also showed convergence on the high priority ES. However, ecologists appeared to overestimate the adequacy of ES-related information they provide as managers reported the information was inadequate for their needs. This divergence may reflect an underrepresentation of ecological economists in this system who can aid in translating ecological models into estimates of human well-being. As a note, the dataset for the research ecologists has had some data removed as it could be considered personally identifiable information due to the small sample size in that population. The surveys associated with both datasets have also been included in PDF format. Curation Notes: Three files were added to the data set on Dec 21, 2017. Two csv files: "Ecosystem services and Research Ecologists - Data Index.csv" and "Ecosystem services and Research Managers - Data Index.csv" and one text file: "Ecosystem Services Adoption Readme.txt". The file names of the original four files were altered to replace an ampersand with the word "and".
- Keyword:
- Research Ecologist, Decision-Making, Ecosystem Services, Natural Resource Management, Paradigm Adoption, and Ecological Economics
- Discipline:
- Science and Social Sciences
-
- Creator:
- Eby, David W and Molnar, Lisa J
- Description:
- Data are contained in an Excel spreadsheet formatted such that each row is a separate participant and each column is a separate question. This file is called: EbyEtAl-TransportCaregiver. A data dictionary that gives the text for each question and the response categories mappings is contained in another Excel Spreadsheet. This file is called: EbyEtAl-TransportCaregiverDictionary. The text of the survey, the development of weights, and response rate calculations can be found in the Deep Blue report discussed previously.
- Keyword:
- Caregiver Burden, Driving, and Automobile
- Discipline:
- Social Sciences
-
- Creator:
- Okullo, Dolorence, Gomez-Lopez, Iris N., Goodspeed, Robert, Reddy, Shruthi, Veinot, Tiffany C, Clarke, Phillipa J., and Data Driven Detroit
- Description:
- The information and education environment refers to: 1) the presence of information infrastructures such as broadband Internet access and public libraries in a location; 2) a person’s proximity to information infrastructures and sources; 3) the distribution of information infrastructures, sources and in a specific location; and 4) exposure to specific messages (information content) within a specific location. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Residential Broadband Data Adoption Rates, Census tract level, Broadband Internet Access and Speed, Colleges and Universities, Public Libraries, Spatial Measures, and Schools
- Discipline:
- Science, Social Sciences, and Health Sciences
-
- Creator:
- Okullo, Dolorence, Yan, Xiang (Jacob), Data Driven Detroit, Veinot, Tiffany C., Gomez-Lopez, Iris N., and Goodspeed, Robert
- Description:
- The food environment is: 1) The physical presence of food that affects a person’s diet; 2) A person’s proximity to food store locations; 3) The distribution of food stores, food service, and any physical entity by which food may be obtained; or 4) A connected system that allows access to food. (Source: https://www.cdc.gov/healthyplaces/healthtopics/healthyfood/general.htm) Data included here concern: 1) Food access; and 2) Liquor access. Spatial Coverage for most data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area, Michigan, USA. See exception for grocery store data below.
- Keyword:
- Food Deserts, Census tract level, Full-Line Grocery Stores, Modified Retail Food Environment Index (MRFEI), Farmer’s Markets, Spatial Measures, and Fast Food Establishments
- Discipline:
- Social Sciences, Health Sciences, and Other
-
- Creator:
- Wellman, Michael P.
- Description:
- For each game: - file in JSON format with raw payoff data - text file with game-theoretic analysis results
- Discipline:
- Social Sciences
-
- Creator:
- Reference USA, City of Detroit, ESRI, Data Driven Detroit, and Veinot, Tiffany C.
- Description:
- Active living resources include spaces and organizations that facilitate physical activity, including 1) park land, 2) recreation areas (including parks, golf courses, amusement parks, beaches and other recreational landmarks); and 3) recreation centers (including gyms, dancing instruction, martial arts instruction, bowling centers, yoga instruction, sports clubs, fitness programs, golf course, pilates instruction, personal trainers, swimming pools, skating rinks, etc.) Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Recreation Areas, Park Land, Census tract level, Metropolitan Detroit, Spatial Measures, Recreation Centers, and Michigan
- Discipline:
- Health Sciences, Social Sciences, and Other
-
- Creator:
- Data-Driven Detroit, Goodspeed, Robert, Reference U.S.A., Veinot, Tiffany C., Yan, Xiang, State of Michigan Department of Elections, and Okullo, Dolorence
- Description:
- The Social Environment refers to characteristics of the people and institutions in a census tract, including: 1) Religious organizations (churches and places of worship); and 2) Voter turnout for the 2012 Presidential Election. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Voter Turnout, Religious Institutions, Spatial Measures, and Census Tract Level
- Discipline:
- Health Sciences and Social Sciences
-
S’Urachi Site-Based Archaeological Survey
User Collection
- Creator:
- Gosner, Linda R.
- Description:
- This data was produced by the site-based archaeological survey at the nuraghe S'Urachi in west-central Sardinia (San Vero Milis, Oristano, Sardinia). The survey was carried out from 2015-2017 as a part of the ongoing Progetto S'Urachi, an archaeological project that aims to understand daily life around the monumental Bronze Age tower of S'Urachi during the later occupation of the landscape over the course of the 1st millennium BCE.
- Keyword:
- Mediterranean archaeology, Sardinia, Archaeological Survey, Excavation, and Classical Archaeology
- Discipline:
- Social Sciences
2Works