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- Creator:
- Tye, Alexander R, Niemi, Nathan A, Safarov, Rafig T, Kadirov, Fakhraddin A, Babayev, Gulam R
- Description:
- The dataset contains U-Pb radiometric ages of zircon grains from sedimentary rocks and modern river sands from the Caucasus region of western Asia. The data were collected as part of a research project investigating the effects of continental collision in the Caucasus region on regional erosion and sedimentary systems. The data are presented using the standard quantities reported for zircon U-Pb age analyses at the University of Arizona Laserchron Center.
- Keyword:
- detrital zircon, provenance, and U-Pb
- Citation to related publication:
- Tye, Alexander R, Niemi, Nathan A, Safarov, Rafig T, Kadirov, Fakhraddin A, Babayev, Gulam R, Sedimentary response to collisional orogeny recorded in detrital zircon provenance of Greater Caucasus foreland basin sediments. In review, Basin Research.
- Discipline:
- Science
- Title:
- Sedimentary response to collisional orogeny recorded in detrital zircon provenance of Greater Caucasus foreland basin sediments: Supplemental data tables
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- Creator:
- Lim, Hongki and Dewaraja, Yuni K.
- Description:
- Interest in quantitative imaging of Y-90 is growing because transarterial radioembolization (RE) with Y-90 loaded microspheres is a promising and minimally invasive treatment that is FDA approved for unresectable primary and metastatic liver tumors. These cancers are a leading cause of cancer mortality and morbidity. Radioembolization is a therapy that irradiates liver tumors with radioactive microspheres administered through a microcatheter placed in the hepatic arterial vasculature. Radioembolization is based on the principle that healthy liver and tumor are mainly vascularized by the portal vein and the hepatic artery respectively. As a result, radioactive microspheres are preferentially located in the lesions after they are administered via the hepatic artery.
- Keyword:
- Y-90, PET, SPECT, CT, Segmentation, Organ, Tumor, Label
- Citation to related publication:
- Discipline:
- Health Sciences
- Title:
- Y-90 patients PET/CT & SPECT/CT and corresponding contours dataset
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- Creator:
- Carlson, Zachary
- Description:
- Data repository for supplemental data for manuscript. Article and data set are currently under review by publisher. Email for more information.
- Citation to related publication:
- Discipline:
- Science
- Title:
- Supplemental Data for "Lactational Metformin Exposure Programs Offspring White Adipose Tissue, Intestinal Microbiome, and Glucose Homeostasis"
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- Creator:
- DeLong, Michael R, Tandon, Vickram J, Farajzadeh, Matthew, Berlin, Nicholas L, MacEachern, Mark P, Rudkin, George H, Da Lio, Andrew L, and Cederna, Paul S
- Description:
- The dataset includes all citations considered for inclusion in the systematic review. The citations are accessible in Endnote (enlx), as well as through the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the published methods for more information.
- Keyword:
- Systematic Review, Acellular Dermal Matrix, Breast Reconstructions, and Tissue Expanders
- Citation to related publication:
- DeLong MR, Tandon VJ, Farajzadeh M, Berlin NL, MacEachern MP, Rudkin GH, Da Lio AL, Cederna PS. (2019). Systematic review of the impact of acellular dermal matrix on aesthetics and patient satisfaction in tissue expander-to-implant breast reconstructions. Plastic and Reconstructive Surgery. DOI: 10.1097/PRS.0000000000006212
- Discipline:
- Health Sciences
- Title:
- Systematic review of the impact of acellular dermal matrix on aesthetics and patient satisfaction in tissue expander-to-implant breast reconstructions [Literature Search Files]
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- Creator:
- Lee, Joyce Y, Knauer, Heather A, Lee, Shawna J, MacEachern, Mark P, and Garfield, Craig F
- Description:
- The dataset includes all citations considered for inclusion in the systematic review. The citations are accessible in Endnote (enlx), as well as through the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the published methods for more information.
- Keyword:
- Systematic Review, Fathers, Education, and Perinatal
- Citation to related publication:
- Lee JY, Knauer HA, Lee SJ, MacEachern MP, Garfield CF. (2018). Father-inclusive perinatal parent education programs: A systematic review. Pediatrics, 142(1). PMID: 29903835. DOI: 10.1542/peds.2018-0437
- Discipline:
- Health Sciences
- Title:
- Father-inclusive perinatal parent education programs: A systematic review [Literature Search Files]
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- Creator:
- Muzyk, Andrew, Smothers, Zachary, Akrobetu, Dennis, Ruiz Veve, Jennifer, MacEachern, Mark P, Tetrault, Jeanette M, and Gruppen, Larry
- Description:
- The dataset includes all citations considered for inclusion in the scoping review. The citations are accessible in Endnote (enlx) and Microsoft Excel (xlsx), as well as the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the published methods for more information.
- Keyword:
- Medical Education, Substance Use Disorders, and Scoping Review
- Citation to related publication:
- Muzyk A, Smothers ZPW, Akrobetu D, Ruiz Veve J, MacEachern M, Tetrault JM, Grupen L. (2019). Substance use disorder education in medical schools: A scoping review of the literature. Academic Medicine. PMID: 31348067. doi: 10.1097/ACM.0000000000002883
- Discipline:
- Health Sciences
- Title:
- Substance use disorder education in medical schools: A scoping review of the literature [Literature Search Files]
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- Creator:
- MacEachern, Mark P, Marti, Kyriaki C, Mylonas, Anastassios I, and Gruppen, Larry
- Description:
- The dataset includes most citations considered for inclusion in the scoping review. The citations are accessible in the Endnote (enlx) file, as well as the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes. See the methods of the article for more information.
- Keyword:
- Dental Education, Dentistry, Education, Humanities, and Scoping Review
- Citation to related publication:
- Marti KC, Mylonas AI, MacEachern M, Gruppen L. (2019). Humanities in predoctoral dental education: A scoping review. Journal of Dental Education, 83(10), 1174-1198. DOI: 10.21815/JDE.019.126 http://www.jdentaled.org/content/83/10/1174.long
- Discipline:
- Health Sciences
- Title:
- Humanities in predoctoral dental education: A scoping review [Literature Search Files]
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- Creator:
- Tan, Meng H, Iyengar, Ravi, Mizokami-Stout, Kara, Yentz, Sarah, MacEachern, Mark P, Shen, Li Yan, Redman, Bruce, and Gianchandani, Roma
- Description:
- The dataset includes most citations considered for inclusion in the scoping review. The citations are accessible in the Endnote file, as well as the primary citation export files from each database. The literature search strategies are included for reproducibility and transparency purposes.
- Keyword:
- Literature search, Scoping review, and Endocrinopathies
- Citation to related publication:
- Tan MH, Iyengar R, Mizokami-Stout K, et al. Spectrum of immune checkpoint inhibitors-induced endocrinopathies in cancer patients: a scoping review of case reports. Clin Diabetes Endocrinol. 2019;5:1. Published 2019 Jan 22. doi:10.1186/s40842-018-0073-4
- Discipline:
- Health Sciences
- Title:
- Spectrum of immune checkpoint inhibitors-induced endocrinopathies in cancer patients [Literature Search Files]
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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 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
- Title:
- Quantifying News Media Bias through Crowdsourcing and Machine Learning Dataset
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- Creator:
- Gebarski, Benjamin B. and Becker, Udo
- Description:
- Files are uploaded as crystallographic information files (.cif), the standard text file format for representing crystallographic information. These files contain the optimized molecular models for pentavalent plutonium incorporation reactions into/onto barite, anglesite, celestine, anhydrite, aragonite, and calcite host minerals.
- Keyword:
- actinide, quantum mechanics, molecular model, plutonium, incorporation, surface, radioactive, contamination, and nuclear waste
- Citation to related publication:
- Gebarski, B. B. and Becker, U. Quantum-Mechanical Determination of the Incorporation of Pentavalent Plutonium into Carbonate and Sulfate Minerals. (2019) Geochimica et Cosmochimica Acta.
- Discipline:
- Science
- Title:
- Quantum-Mechanical Determination of the Incorporation of Pentavalent Plutonium into Carbonate and Sulfate Minerals