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- Creator:
- Benjamin Leffel
- Description:
- Data were gathered to test three hypotheses on the impact economic growth has on environmental conditions in urban areas. The three hypotheses are: 1. Income will be associated with reductions in PM2.5, PM10, NO2 and SO2. 2. Public Administration GVA will be associated with reductions in PM2.5, PM10, NO2 and SO2. 3. Urban density will be associated with reductions in PM2.5, PM10, NO2 and SO2. More information about the research and the data can be found in: Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349.
- Keyword:
- global cities, environment, urban, air pollution, income, Urban Sustainability Research Group, and student-friendly
- Citation to related publication:
- Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349
- Discipline:
- Social Sciences
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- Creator:
- Mosley, Jennifer and Park, Sunggeun
- Description:
- This data set is comprised of publicly available data from three HUD websites and the 2014 National Continuum of Care (CoC) Survey questionnaire and protocol. The HUD data sets are comprised of Community Planning and Development (CPD) Awards information from 2005-2014, Demographic information on areas served by CoC sites (sub-region estimates from the 2006-2010 American Community Survey), and Housing Inventory Count (HIC) and Point-in-Time (PIT) counts per CoC from 2015-2007. The data are associated with the article "Service Providers' Influence in Collaborative Governance Networks: Effectiveness in Reducing Chronic Homelessness" conditionally accepted for publication in the Journal of Public Administration Research and Theory (JPART).
- Discipline:
- Social Sciences
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- Creator:
- Vani Archaeological Survey
- Description:
- In 2009, an American-Georgian team of four archaeologists, four archaeology students, and a geophysicist carried out a four-week season of “extensive” survey of known archaeological sites, together with geophysical prospection at selected locations. In a second four-week season in 2010, with the additions of a geologist and an archaeobotanist, we continued our program of documentation of known sites and of exploratory geophysical prospection, and we also carried out limited test excavations at a number of sites. We returned for a shorter (one- to two-week) study seasons in 2011 and 2014, focusing on museum and archival research in Vani, Kutaisi, and Tbilisi., The area covered by our survey extends 15 km both east and west of Vani, and as far as 10 km south of Vani, from the Phasis River plain at approximately 50 m above sea level to the lower slopes of the lesser Caucasus, at approximately 1000 m above sea level. The purpose of the program was to visit all the previously identified archaeological sites in the region, and to integrate existing knowledge into a database of sites and a Geographical Information System. Each entry into this database is recorded as a dataset in this deposit. Entries recorded in 2009 are prefaced with the letter “A,” those recorded in 2010 are prefaced with the letter “B.” A single entry added in 2011 received the preface, “C.” In carrying out the survey, we depended heavily on the unpublished dissertation by Sulkhan Kharabadze, “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD) (Ph.D. dissertation: Georgian Technical University 2008). A map showing the locations of all the sites recorded by the survey is attached to this dataset., Our procedure for each site visit was as follows: we drove to the nearest village and searched out a local guide who could take us to the place we wished to see. We drove as far as we could to each site, then got out and walked, using GPS-equipped field computers (Trimble Geo-XM) to make a continuous record of our path. We recorded the lay of the land and any artifacts we saw en route (pottery sherds, traces of burnt daub, lithics and stone objects, architectural features in situ). We designated as points of interest any significant archaeological remains (concentrations of pottery, in situ features, notable stray finds, etc.), and every place we could identify where earlier discoveries had been made or archaeological excavations carried out. For every point of interest, we recorded the latitude, longitude, and elevation; took a series of digital photographs; and made a grab bag collection of pottery and other finds if possible. Where appropriate, we took basic measurements of architectural features (e.g., of Mediaeval towers). We also kept records of local place names, the names of our local guides, and any miscellaneous information they gave us. , Certain sites were selected for further investigation. These included Saqanchia A001, where we carried our geophysical survey and limited excavation; Shuamta, Melashvilebisgora A033, where we also carried out geophysical survey and limited excavation; Kveda Bzvani A047, where we carried out controlled collection of surface finds; and Zeda Bzvani, Meskhebisgora, A053, where we also carried out controlled collection of surface finds., The datasets recorded in this deposit include basic descriptions of each site, citations to previous publications, and links to relevant maps, photographs, and drawings. Where they exist, maps for individual datasets are labeled according to the name and number of the site, e.g., DapnariA002Map.jpg. The labels for photographs taken during the field season record their numbers in the sequence of photographs taken that season, e.g., Vani09.0047.jpg. A complete list of all photographs recorded in this way is available for download. Photographs and drawings of artifacts from individual sites made after the season are labeled with the names of the sites followed by the numbers assigned to the objects, with photographs saved as jpeg files, and drawings saved as tiff files; thus KvedaBzvani11-14.jpg is a photograph of objects 11-14 from the site of KvedaBzvani, while KvedaBzvani11-14.tif is a set of drawings of the same objects. Finally, drawings of sites where excavations were carried out are labeled with the name of the site, the number of the trench (if applicable), and the type of drawing, so that Shuamta2010.1Plan is a plan of Trench 2010.1 at Shuamta., and In addition, the collections in this deposit group datasets together according to important characteristics such as period (Bronze Age, Iron Age, etc.) or type (settlement, fortification, burial, and so on).
- Citation to related publication:
- Kharabadze, S.(2008). “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.) – Archaeological Map of the Territory of Vani (8th Century BC – 3rd Century AD). (Ph.D. dissertation).Georgian Technical University.
- Discipline:
- Social Sciences and Humanities
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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 -
- Creator:
- Gosner, Linda R., Nowlin, Jessica, and Smith, Alexander J.
- Description:
- Included here are 1) a detailed description of each of the dataset’s components, 2) a database of finds from the survey, 3) databases of the faunal bone studied by specialist Damià Ramis, 4) notes and documentation made in the field, 5) excavation photographs 6) artifact photographs.
- Keyword:
- Sardinia, Mediterranean archaeology, archaeological survey, excavation, and Classical archaeology
- Citation to related publication:
- Dommelen, Peter van, Enrique Díes Cusí, Linda R. Gosner, Jeremy Hayne, Guillem Pérez-Jordà, Damià Ramis, Andrea Roppa, and Alfonso Stiglitz. 2018. “Un millennio di storie: nuove notizie preliminari sul Progetto S’Urachi (San Vero Milis, OR), 2016-2018.” Quaderni. Rivista di Archeologia 29: 141–65. https://www.quaderniarcheocaor.beniculturali.it/index.php/qua/article/view/46, Gosner, Linda R., and Alexander J. Smith. 2018. “Landscape Use and Local Settlement at the Nuraghe S’Urachi (West-Central Sardinia): Results from the First Two Seasons of Site Survey.” Fasti Online Documents & Research: Survey Series, no. 7: 1–27. www.fastionline.org/docs/FOLDER-sur-2018-7.pdf., Gosner, Linda R., Jeremy Hayne, Emanuele Madrigali, Jessica Nowlin. 2020. New Evidence for Local Continuity and Phoenician Influence in the Ceramic Assemblage from Iron Age Su Padrigheddu (West-Central Sardinia). Proceedings of the IX Congreso de Estudios Fenicios y Púnicos. Myrta 5: 1649-1657. https://scholars.ttu.edu/en/publications/new-evidence-for-local-continuity-and-phoenician-influence-in-the, Madrigali, Emanuele, Linda R. Gosner, Jeremy Hayne, Jessica Nowlin, and Damià Ramis. 2019. “Tradizioni e interazioni nella quotidianità dell’età del ferro. nuove evidenze da Su Padrigheddu (San Vero Milis, OR).” Quaderni. Rivista di Archeologia 30: 107–26. https://scholars.ttu.edu/en/publications/tradizioni-e-interazioni-nella-quotidianit%C3%A0-dellet%C3%A0-del-ferro-nuo, Stiglitz, Alfonso, Enrique Díes Cusí, Damià Ramis, Andrea Roppa, and Peter van Dommelen. 2015. “Intorno al nuraghe: notizie preliminari sul Progetto S’Urachi (San Vero Milis, OR).” Quaderni. Rivista di Archeologia 26: 191–218., and Gosner, Linda R., Jessica Nowlin, and Alexander J. Smith. in preparation. Ground-truthing the Site-based Survey at S’Urachi and Su Padrigheddu (West-Central Sardinia): Results of the 2016 and 2017 Seasons.
- Discipline:
- Social Sciences
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- Creator:
- Quarles, Christopher L.
- Description:
- Student capital is the set of skills, traits, and resources that an individual can draw upon to be successful in school. With dropout rates around 50%, community college students often don't have enough student capital to achieve their goals. The R code in this dataset estimates the average student capital of a group of community college students using data on their total credits and academic outcomes. It also contains R code to create figures, as found in the paper "The Shape of Educational Inequality" by Quarles, Budak & Resnick.
- Keyword:
- education, community college, and maximum likelihood estimation
- Citation to related publication:
- Quarles, C. L., Budak, C., Resnick, P. (2020). The shape of educational inequality. Science Advances. 6(29). https://doi.org/10.1126/sciadv.aaz5954
- Discipline:
- Social Sciences
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- Creator:
- Schöpke-Gonzalez, Angela M., Thomer, Andrea K., and Conway, Paul
- Description:
- This interview protocol was designed to investigate the research question: How do self-identified refugees in the receiving societies of Greece and Germany engage with information spaces to navigate identity during liminal and post-liminal portions of their refugee experiences?
- Keyword:
- information space, identity, liminality, and migration
- Citation to related publication:
- Schöpke-Gonzalez, A., Thomer, A., & Conway, P. (2020). Identity Navigation During Refugee Experiences: The International Journal of Information, Diversity, & Inclusion (IJIDI), 4(2), 36–67. https://doi.org/10.33137/ijidi.v4i2.33151
- Discipline:
- Social Sciences
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- Creator:
- Moser, Carol, Schoenebeck, Sarita , and Resnick, Paul
- Description:
- These data, survey instruments (including informed consent) and analysis scripts come from Carol Moser's dissertation titled, Impulse Buying: Designing for Self-Control with E-commerce.
- Keyword:
- Impulse Buying, Self-control, and Experimental Design
- Discipline:
- Social Sciences
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- Creator:
- Horsley, Timothy J. and Sampson, Christina P.
- Description:
- The data (raw data, composite files [processed], and some images) can be read by the program TerraSurveyor. Version 3.0.34.10 of the software was used to create the composite files in this deposit. and The magnetometer data was the second step in a geophysical survey program that began with magnetic susceptibility survey of a portion of the Weedon Island Preserve in St. Petersburg, Florida. Geophysical survey was used to map human occupation of the study area and to guide subsequent archaeological excavations.
- Keyword:
- magnetometry, geophysical survey, remote sensing, Florida archaeology, and coastal archaeology
- Citation to related publication:
- Sampson, C. P. (2019) Safety Harbor at the Weeden Island Site: Late Pre-Columbian Craft, Community, and Complexity on Florida's Gulf Coast. PhD Dissertation, University of Michigan. and Sampson, Christina Perry and Timothy J. Horsley. Using Multi-Staged Magnetic Survey and Excavation to Assess Community Settlement Organization: A Case Study from the Central Peninsular Gulf Coast of Florida. Advances in Archaeological Practice. Cambridge University Press: 18 December 2019. https://doi.org/10.1017/aap.2019.45
- Discipline:
- Science and Social Sciences
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- Creator:
- Budak, Ceren, Goel, Sharad, and Rao, Justin M
- Description:
- Our primary analysis is based on articles published in 2013 by the top thirteen US news outlets and two popular political blogs. To compile the set of articles published by these outlets, we first examined the complete web-browsing records for US-located users who installed the Bing Toolbar, an optional add-on application for the Internet Explorer web browser. For each of the fifteen news sites, we recorded all unique URLs that were visited by at least ten toolbar users, and we then crawled the news sites to obtain the full article title and text. This process resulted in a corpus of 803,146 articles published on the fifteen news sites over the course of a year, with each article annotated with its relative popularity. , Next, we built two binary classifiers using large-scale logistic regression. The first classifier—which we refer to as the news classifier —identifies “news” articles (i.e., articles that would typically appear in the front section of a traditional newspaper). The second classifier—the politics classifier —identifies political news from the subset of articles identified as news by the first classifier. 340,191 (42 percent) were classified as news. On the set of 340,191 news articles, 114,814 (34 percent) were classified as political. , Having identified approximately 115,000 political news articles, we next seek to categorize the articles by topic (e.g., gay rights, healthcare, etc.), and to quantify the political slant of the article. To do so, we turn to human judges recruited via Mechanical Turk to analyze the articles. For every day in 2013, we randomly selected two political articles, when available, from each of the 15 outlets we study, with sampling weights equal to the number of times the article was visited by our panel of toolbar users., Amazon Mechanical Turk Labeling task: To detect and control for possible preconceptions of an outlet’s ideological slant, workers, upon first entering the experiment, were randomly assigned to either a blinded or unblinded condition. In the blinded condition, workers were presented with only the article’s title and text, whereas in the unblinded condition, they were additionally shown the name of the outlet in which the article was published. Each article was then analyzed by two workers, one each from the sets of workers in the two conditions. For each article, each worker completed the following three tasks. First, they provided primary and secondary article classifications from a list of fifteen topics: (1) civil rights; (2) Democrat scandals; (3) drugs; (4) economy; (5) education; (6) elections; (7) environment; (8) gay rights; (9) gun-related crimes; (10) gun rights/regulation; (11) healthcare; (12) international news; (13) national security; (14) Republican scandals; and (15) other. , and Second, workers determined whether the article was descriptive news or opinion. Third, to measure ideological slant, workers were asked, “Is the article generally positive, neutral, or negative toward members of the Democratic Party?” and separately, “Is the article generally positive, neutral, or negative toward members of the Republican Party?” Choices for these last two questions were provided on a five-point scale: very positive, somewhat positive, neutral, somewhat negative, and very negative. To mitigate question-ordering effects, workers were initially randomly assigned to being asked either the Democratic or Republican party question first; the question order remained the same for any subsequent articles the worker rated. Finally, we assigned each article a partisanship score between –1 and 1, where a negative rating indicates that the article is net left-leaning and a positive rating indicates that it is net right-leaning. Specifically, for an article’s depiction of the Democratic Party, the five-point scale from very positive to very negative is encoded as –1, –0.5, 0, 0.5, 1. Analogously, for an article’s depiction of the Republican Party, the scale is encoded as 1, 0.5, 0, –.0.5, –1. The score for each article is defined as the average over these two ratings. Thus, an average score of –1, for example, indicates that the article is very positive toward Democrats and very negative toward Republicans. The result of this procedure is a large, representative sample of political news articles, with direct human judgments on partisanship and article topic.
- Keyword:
- news media, media bias, crowdsourcing, and machine learning
- Citation to related publication:
- https://academic.oup.com/poq/article-abstract/80/S1/250/2223443/?redirectedFrom=fulltext and Ceren Budak, Sharad Goel, Justin M. Rao, Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis, Public Opinion Quarterly, Volume 80, Issue S1, 2016, Pages 250–271, https://doi.org/10.1093/poq/nfw007
- Discipline:
- Social Sciences