1,720,990 research outputs found
How can we mitigate pig barn emissions?
No full textJanni, Kevin. (2010). How can we mitigate pig barn emissions?. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/131173
Lighting Dairy Facilities
No full textJanni, Kevin A.. (1999). Lighting Dairy Facilities. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/118669
Environmental Quality in Dairy Housing
No full textJanni, Kevin A.. (1997). Environmental Quality in Dairy Housing. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/118841
SUMMARY OF DAIRY LIGHTING RESEARCH AND PRACTICE
No full textJanni, Kevin A.. (2002). SUMMARY OF DAIRY LIGHTING RESEARCH AND PRACTICE. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/108761
Preparing an Odor Management Plan
No full text8 p. Illustrations.This archival publication may not reflect current scientific knowledge or recommendations. Current information available from the University of Minnesota Extension: https://www.extension.umn.edu.Schmidt, David; Jacobson, Larry; Janni, Kevin. (2001). Preparing an Odor Management Plan. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/94145
Barn Environment Study
No full textEndres, Marcia I.; Lobeck, Karen; Janni, Kevin; Godden, Sandra; Fetrow, John. (2011). Barn Environment Study. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/118898
Learning About Dairy
No full textThis archival publication may not reflect current scientific knowledge or recommendations. Current information available from the University of Minnesota Extension: https://www.extension.umn.edu.Paulson, Jim; Salfer, Jim; Newell, Sherry; Santi, Elaine; Seykora, Tony; Litherland, Noah; Endres, Marcia; Janni, Kevin; Reneau, Jeff; Broadwater, Neil; Schwartau, Chuck; Rozeboom, Gretchen; Suerth Hudson, Carolyn; Salfer, Lucas; Schmidt, Shari. (2015). Learning About Dairy. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/201196
R Code, Data, and Output Supporting: Nutrient Data from U.S. Manure Systems
No full textThis data contains the manure and other organic amendment sample analyses shared by participating laboratories and partners in the ManureDB project. These results are made available to all interested parties for the purpose of aggregating manure analyses where data can be utilized in a standardized way. See Readme file for more information.This repository contains R code, processed data, and associated outputs supporting the results reported in: Bohl Bormann, 2024. Manure Nutrient Data Compilation and Analysis for Agronomic and Environmental Applications. PhD Dissertation.AFRI Foundational and Applied Science Program [grant no. 2020-67021-32465] from the USDA National Institute of Food and AgricultureUniversity of Minnesota College of Food, Agricultural and Natural Resource SciencesMinnesota Supercomputing InstituteGeorge Rehm Nutrient Management FellowshipHueg-Harrison FellowshipBohl Bormann, Nancy; Wilson, Melissa; Cortus, Erin; Silverstein, Kevin; Janni, Kevin; Gunderson, Larry. (2024). R Code, Data, and Output Supporting: Nutrient Data from U.S. Manure Systems. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/sce9-s034
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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