4,438 research outputs found
Data and R Code Supporting: Juvenile Sandhill Cranes Exhibit Wider Ranging and More Exploratory Movements Than Adults During the Breeding Season
No full textDetailed documentation in readme text file.These file contain the data and R code used in the analysis of the journal article: Juvenile Sandhill Crane Exhibit Wider Ranging and More Exploratory Movements Than Adults During the Breeding SeasonU.S. Fish and Wildlife Service, U.S. Geological Survey, Minnesota Department of Natural Resources, Minnesota Environmental and Natural Resources Trust FundWolfson, David, W; Fieberg, John R; Andersen, David E. (2018). Data and R Code Supporting: Juvenile Sandhill Cranes Exhibit Wider Ranging and More Exploratory Movements Than Adults During the Breeding Season. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6BH7B
Replication Data for: Subject Performance in Social Science Experiments Using Crowdsources Online Samples
No full textThese are replication files for the main text and online appendix for the article "Subject Performance in Social Science Experiments Using Crowdsources Online Samples" by David J. Andersen and Richard R. Lau, as published in the Journal of Experimental Political Science. Study 1 was run in the dynamic process tracing environment and recruited approximately 400 subjects from Amazon's Mechanical Turk to participate in a simulated primary and general election for a number of political offices. Study 2 was a survey experiment that recruited approximately 1,000 subjects from Mechanical Turk and surveyed them about their feelings of state and national-level patriotism
Replication Data for: Subject Performance in Social Science Experiments Using Crowdsources Online Samples
No full textThese are replication files for the main text and online appendix for the article "Subject Performance in Social Science Experiments Using Crowdsources Online Samples" by David J. Andersen and Richard R. Lau, as published in the Journal of Experimental Political Science. Study 1 was run in the dynamic process tracing environment and recruited approximately 400 subjects from Amazon's Mechanical Turk to participate in a simulated primary and general election for a number of political offices. Study 2 was a survey experiment that recruited approximately 1,000 subjects from Mechanical Turk and surveyed them about their feelings of state and national-level patriotism
Data, R Code, and Output Supporting: Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking
No full textSee ReadMe text file for a comprehensive description of all uploaded files.This collection of files provide data, R code, and associated output supporting the article "Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking" in Wildlife Society Bulletin. We provide all necessary materials to reproduce the analysis of staging area overlap among GPS-marked Sandhill Cranes in Minnesota for the periods of August 1-October 1, 2015 and 2016. We captured and attached Global Positioning System-Global System for Mobile Communications (GPS-GSM) transmitters to 50 cranes in central Minnesota.U.S. Fish and Wildlife ServiceU.S. Geological SurveyMinnesota Cooperative Fish and Wildlife Research UnitMinnesota Environmental and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR)Minnesota Department of Natural ResourcesWolfson, David W; Fieberg, John R; Lawrence, Jeff S; Cooper, Tom R; Andersen, David E. (2017). Data, R Code, and Output Supporting: Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D64P42
Data from range-wide study of migratory connectivity of Vermivora warblers
No full textSee ReadMe.txt for detailed description of files.This collection of files provide data from a range-wide study of the migratory ecology of Vermivora warblers. Data include raw light-level data from geolocators, R code, and associated output. These data can be used to recreate analyses including:
(1) Individual nonbreeding occurrence and population-level nonbreeding overlap
(2) Individual migration routes and spatial distribution of individuals and populations during migrationU.S. Fish and Wildlife ServiceU.S Geological SurveyMinnesota Cooperative Fish and Wildlife Research UnitNational Science FoundationVirginia Department of Game and Inland FisheriesGrace Jones Richardson TrustKramer, Gunnar R; Andersen, David E; Buehler, David A.; Wood, Petra B; Peterson, Sean M; Lehman, Justin A; Aldinger, Kyle R; Bulluck, Lesley P; Harding, Sergio; Jones, John A; Loegering, John P; Smalling, Curtis; Vallender, Rachel; Streby, Henry M. (2018). Data from range-wide study of migratory connectivity of Vermivora warblers. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6D97W
Distribution of Eastern Prairie Population Canada Goose Broods, 1977-2002: Potential Influence of Snow Geese
No full texthabitat distribution of Canada GeeseNack, Robert R; Andersen, David E. (2004). Distribution of Eastern Prairie Population Canada Goose Broods, 1977-2002: Potential Influence of Snow Geese. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/183604
R code and data for "Survival of Sandhill Crane colts in Minnesota"
No full textSee ReadMe text file for a comprehensive description of all uploaded data files.This collection of files provides data and R code supporting the publication "Survival of Sandhill Crane colts in Minnesota" currently in review at Journal of Fish and Wildlife Management. We provide all necessary data and code to reproduce the survival analysis of sandhill crane colts in Minnesota.U.S. Fish and Wildlife Service and U.S. Geological Survey (Science Support Program) through Research Work Order No. 101 at the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research UnitMinnesota Environmental and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR)U.S. Fish and Wildlife Service Webless Migratory Game Bird ProgramMinnesota Department of Natural ResourcesMinnesota Agricultural Experimental StationSeverud, William J.; Wolfson, David W.; Fieberg, John R.; Andersen, David E.. (2021). R code and data for "Survival of Sandhill Crane colts in Minnesota". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/qy1k-8269
Raw Light-Level Geolocator Data from Golden-Winged Warblers Breeding at Three Sites in North America
No full textThe .lig files are comma separated time stamped ASCII data files where each time-stamped record is on a separate line. The header line of each file contains a three-variable string. Its meaning is unclear. The header lines are removed before data analysis. The .lig files can be opened by any text editors. The original data analysis is read into R using a package called "BAStag". The descriptions (e.g. CM05) next to the files represent the individual Golden-winged Warbler from which the data are collected.21 raw light-level data files (.lig) from geolocators (Biotrak, Wareham, UK; model ML6240, 2-min light-sampling regime) deployed on 20 individual Golden-winged Warblers from three breeding locations in North America. These data were collected to provide information on the migration routes and timing, and nonbreeding locations of individuals from these populations to inform conservation and management strategies. These data are being released following the publication of these findings.These data were collected during a project funded by the U.S. Fish and Wildlife Service and U.S. Geological Survey through Research Work Order No. 98 at the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit; by the National Science Foundation through Postdoctoral Research Fellowship No. 1202729 (H. Streby); and by the U.S.D.A Natural Resources Conservation Service in a grant administered by J. Larkin.Kramer, Gunnar R; Streby, Henry M; Peterson, Sean M; Lehman, Justin A; Buehler, David A.; Wood, Petra B; McNeil, Darin J; Larkin, Jeffrey L; Andersen, David E. (2016). Raw Light-Level Geolocator Data from Golden-Winged Warblers Breeding at Three Sites in North America. Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D6R59C
Data and code supporting: Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends
No full textCode, data, and spatial layers. See readme file for description of files.Data and code supporting the publication "Exposure to risk-factors experienced during migration is not associated with recent Vermivora warbler population trends".Funding for this research was provided by the U.S. Fish and Wildlife Service and the U.S. Geological Survey through Research Work Order 98 at the U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit, and by the National Science Foundation through Postdoctoral Research Fellowship 1202729. Additional funding was provided by the University of Toledo College of Graduate Studies through a Graduate Dean’s Fellowship, the Virginia Department of Wildlife Resources and the Grace Jones Richardson Trust.Kramer, Gunnar R; Andersen, David E; Buehler, David A; Wood, Petra B; Peterson, Sean M; Lehman, Justin A; Aldinger, Kyle R; Bulluck, Lesley P; Harding, Sergio; Jones, John A; Loegering, John P; Smalling, Curtis; Vallender, Rachel; Streby, Henry M. (2023). Data and code supporting: Exposure to risk factors experienced during migration is not associated with recent Vermivora warbler population trends. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/1dap-6d14
Pushing the limits of democracy: concurrent elections and cognitive limitations of voters
No full textRepresentative democracy proposes to give “power to the people” by allowing the electorate to choose its own leadership. However, previous research in Political Science has demonstrated that the American electorate is woefully uninformed, lacking even the most basic political knowledge. Further complicating the problems facing the American electorate is the fact that they are not able to focus upon each vote choice individually, but are asked to learn about various campaigns concurrently and cast their votes all at once on Election Day. This does not rule out the possibility of a successful system of elections, as Political Psychology has also demonstrated that voters are able to make high-quality decisions even with minimal knowledge by relying upon political cues and heuristics, reducing the level of knowledge necessary to make a vote choice. Unfortunately, the vast bulk of this literature focuses upon the electorate’s ability to select a presidential candidate using cues particularly effective for that office, ignoring lower offices and leaving a level of uncertainty about how voters respond to an election environment featuring concurrent campaigns. Using American National Election Study (ANES) survey data over a 20 year period, as well as an original experiment featuring dynamic information boards, this dissertation examines whether the number of elections on the ballot affects how voters search for information about all of the candidates seeking elective office, what voters are able to remember about them, and how they react to the presence of concurrent campaigns. The findings demonstrate that voters are less able to recall candidates for lower offices when higher offices are contested. Additionally, as more offices compete against each other, voters seek out less information about each individual set of candidates, but prioritize learning about higher office candidates over lower office candidates. Finally, this analysis shows that the amount of information a voter views about a candidate directly affects how accurate the perceptions of that candidate are. In sum, this dissertation identifies structural weaknesses present in the American system of elections that limit the ability of voters to focus upon each office equally.Ph.D.Includes bibliographical referencesby David J. Anderse
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