2,246 research outputs found

    Supporting the Pedagogical Needs of Faculty Teaching Undergraduate Business Students at Kansas State University

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    In 2019 Kansas State University was a research site for a large-scale, collaborative study on how academic libraries can best support the pedagogical needs of faculty teaching undergraduate business students. Coordinated by Ithaka S+R, a not-for-profit organization that supports academic communities, the project aimed to answer the questions (1) What are the teaching practices and support needs of instructors of undergraduate business? (2) How can libraries support undergraduate teaching in business? Ithaka S+R published a capstone report based on data from all participating institutions. Researchers at Kansas State University produced this report, based on local data, to identify ways that K-State Libraries can better support undergraduate teaching at K-State’s College of Business Administration

    Research Support Services: Agriculture

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    Citation: Farmer, D. and Olsen, L. M. (2016). Research support services: Agriculture. Manhattan, KS: K-State Libraries.This report is a result of an Ithaka S+R project to investigate research support services at research libraries for agricultural researchers. Nineteen institutional libraries, mostly at land grant universities, collaborated with Ithaka S+R on this project. Librarians at Hale Library interviewed agricultural researchers at K-State. Interview transcripts were sent Ithaka S+R to write a report for the entire project. This report is K-State’s local report which is based on interviews conducted by K-State librarians with K-State agricultural researchers

    Publishing and Archiving Trends in Open Access: Preliminary Results

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    Agricultural researchers are engaged in the growing open access (OA) movement, either publishing in OA journals or archiving in OA repositories. The latter is reflected in the use of the institutional repository (IR) at Kansas State University (K-State), a land grant institution. K-State library faculty are analyzing faculty publications to determine the publishing and archiving habits of selected researchers. Reviewing copyright agreements from journals reveals those with policies for archiving post-prints in an IR; articles by these authors are compared to their total three-year article output to determine the efficacy of the current IR program at K-State. Chosen for analysis were the faculties of the College of Agriculture’s Department of Animal Sciences and Industry’s (ASI) and the College of Veterinary Medicine\u27s Department of Clinical Sciences (CS) who conduct research on food animals. ASI has one of the largest faculty on campus as well as a department head supportive of the University’s IR. While many of ASI’s extension publications are in the IR, several important animal science journals do not allow for self-archiving or deposit in an IR. Many articles published by ASI faculty are co-authored with faculty in CS, who also focus their research on livestock

    LCS-1: A high-resolution global model of the lithospheric magnetic field derived from CHAMP and Swarm satellite observations

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    We derive a new model, named LCS-1, of Earth’s lithospheric field based on four years (2006 September–2010 September) of magnetic observations taken by the CHAMP satellite at altitudes lower than 350 km, as well as almost three years (2014 April–2016 December) of measurements taken by the two lower Swarm satellites Alpha and Charlie. The model is determined entirely from magnetic ‘gradient’ data (approximated by finite differences): the north–south gradient is approximated by first differences of 15 s along-track data (for CHAMP and each of the two Swarm satellites), while the east–west gradient is approximated by the difference between observations taken by Swarm Alpha and Charlie. In total, we used 6.2 mio data points. The model is parametrized by 35 000 equivalent point sources located on an almost equal-area grid at a depth of 100 km below the surface (WGS84 ellipsoid). The amplitudes of these point sources are determined by minimizing the misfit to the magnetic satellite ‘gradient’ data together with the global average of |Br| at the ellipsoid surface (i.e. applying an L1 model regularization of Br). In a final step, we transform the point-source representation to a spherical harmonic expansion. The model shows very good agreement with previous satellite-derived lithospheric field models at low degree (degree correlation above 0.8 for degrees n ≤ 133). Comparison with independent near-surface aeromagnetic data from Australia yields good agreement (coherence \u3e 0.55) at horizontal wavelengths down to at least 250 km, corresponding to spherical harmonic degree n ≈ 160. The LCS-1 vertical component and field intensity anomaly maps at Earth’s surface show similar features to those exhibited by the WDMAM2 and EMM2015 lithospheric field models truncated at degree 185 in regions where they include near-surface data and provide unprecedented detail where they do not. Example regions of improvement include the Bangui anomaly region in central Africa, the west African cratons, the East African Rift region, the Bay of Bengal, the southern 90°E ridge, the Cretaceous quiet zone south of the Walvis Ridge and the younger parts of the South Atlantic

    LCS-1: A High-Resolution Global Model of the Lithospheric Magnetic Field Derived from CHAMP and \u3cem\u3eSwarm\u3c/em\u3e Satellite Observations

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    We derive a new model, named LCS-1, of Earth’s lithospheric field based on four years (2006 September–2010 September) of magnetic observations taken by the CHAMP satellite at altitudes lower than 350 km, as well as almost three years (2014 April–2016 December) of measurements taken by the two lower Swarm satellites Alpha and Charlie. The model is determined entirely from magnetic ‘gradient’ data (approximated by finite differences): the north–south gradient is approximated by first differences of 15 s along-track data (for CHAMP and each of the two Swarm satellites), while the east–west gradient is approximated by the difference between observations taken by Swarm Alpha and Charlie. In total, we used 6.2 mio data points. The model is parametrized by 35 000 equivalent point sources located on an almost equal-area grid at a depth of 100 km below the surface (WGS84 ellipsoid). The amplitudes of these point sources are determined by minimizing the misfit to the magnetic satellite ‘gradient’ data together with the global average of |Br| at the ellipsoid surface (i.e. applying an L1 model regularization of Br). In a final step, we transform the point-source representation to a spherical harmonic expansion. The model shows very good agreement with previous satellite-derived lithospheric field models at low degree (degree correlation above 0.8 for degrees n ≤ 133). Comparison with independent near-surface aeromagnetic data from Australia yields good agreement (coherence \u3e 0.55) at horizontal wavelengths down to at least 250 km, corresponding to spherical harmonic degree n ≈ 160. The LCS-1 vertical component and field intensity anomaly maps at Earth’s surface show similar features to those exhibited by the WDMAM2 and EMM2015 lithospheric field models truncated at degree 185 in regions where they include near-surface data and provide unprecedented detail where they do not. Example regions of improvement include the Bangui anomaly region in central Africa, the west African cratons, the East African Rift region, the Bay of Bengal, the southern 90°E ridge, the Cretaceous quiet zone south of the Walvis Ridge and the younger parts of the South Atlantic

    Creating new partnerships: an examination of two collaborative, grant-funded digitization projects

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    Many agriculture professors are also avid photographers. Throughout their careers, they photograph the unique, the mundane, and the fantastic. Their photographs and slides range from beautiful roses and champion bulls to wheat covered in rust and sickly sows. During their academic years, they use the slides for class lectures, at conferences, and at presentations to the public. Many professors and researchers also collect print materials, amassing huge collections of pamphlets, research reports and books. These items, though old or out of print, often are unique and have great historic value. They document the progress and results of a professor’s research and academic career. What happens to these valuable materials upon a professor’s retirement? Will they languish in a departmental library? Will they be lost in an attic? Will they be discarded? Hopefully not. These materials represent part of that professor’s knowledge, acquired over a lifetime. They are a valuable source of information for future generations. Two grant-funded, collaborative projects, conducted at Kansas State University, endeavored to remedy this problem. The first project involved digitizing natural history publications which are now available on the Internet through the web portal BiodIS (http://biodis.k-state.edu/), Kansas State University\u27s Biodiversity Information System. The second involved digitizing 35 mm slides of grain sorghum (Sorghum bicolor) disease images slides that were originally captured by Dr. Larry Claflin, a plant pathology professor. Dr. Claflin is an internationally recognized expert on grain sorghum diseases and was nearing retirement when he approached the library about preserving approximately 450 grain sorghum disease slides. Both projects were collaborations between librarians and academic faculty

    The Agriculture Network Information Collaborative (AgNIC): Building on the past, looking to the future

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    The Agriculture Network Information Collaborative (AgNIC) began in 1995 as the Agriculture Network Information Center, a group of four academic libraries and the National Agricultural Library (NAL), with the goal of improving access to reliable agricultural information. One aspect of involvement during the early years was to develop unique subject sites that contained or linked to reliable, curated information on a particular agricultural topic. As the world of online information grew, the focus of AgNIC shifted. In 2013 AgNIC changed the "C" from Center to Collaborative, highlighting a substantive change for the group that had grown to fifty-three members. It moved the partner-members' vision of AgNIC from a series of subject silos, each staffed by librarians who built and maintained them, into a group with a much wider range of goals and interests. This reimagined collaborative explores and acts on agriculture information trends of mutual interest and international importance, including discovery, access, and preservation. Current activities include digitizing and preserving historical agricultural literature as part of Project Ceres, promoting NAL's PubAg portal, and enhancing HathiTrust by systematically requesting the release of state agricultural documents. Moving forward, this long-term partnership provides an avenue for collaboration between the libraries and NAL and opportunities for professional development
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