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Journal of Undergraduate Research (jur), Volume 6, Issue 2, Spring 2008
No full text(JUR) is an organization dedicated to providing the University of Rochester student body with intellectual perspectives from various academic disciplines. JUR serves as a forum for the presentation of original research, thereby encouraging the pursuit of significant scholarly endeavors.For more information, please visit the Journal of Undergraduate Research homepage.</p
Is C&RL Ready for a Data Sharing Policy?
No full textIn the summer of 2020, C&RL received a request from the ACRL Board of Directors to establish a registered report submission track as a major step to ensure C&RL’s high standards of rigorous methods. The request letter was signed by a group of ACRL members, led by Amy Riegelman, who later published an editorial on this topic (Amy Riegelman, 2021), calling C&RL to be more proactive in supporting open research practices. In order to increase C&RL’s rigor in supporting and implementing open research practices, it was recognized that both access to research data and transparency of research methods are necessary. From this line of thought, the C&RL Editorial Board, former Editor Wendi Arant Kaspar and Editor Kristen Totleben, have been engaged in an ongoing conversation on the possibility and the journal’s capacity to implement a data sharing policy. For the past three years, Editorial Board member Minglu Wang has been researching academic journals’ data sharing policies and reaching out to journal editors and editorial board members for consultation. Her efforts culminated in fall 2022 when she, Totleben, and Editorial Board member Adrian Ho conducted a survey (see Appendix) requesting input from colleagues in academic libraries regarding their perceptions of a data sharing policy and what types of data management support they would need or recommend.</p
The Modular μSiM: m-µSiM_Figure_4.ai
No full textFigure 4 of The Modular μSiM: A Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro</p
The Modular μSiM: 2SlotNPN_Coculture_ConfocalImages
No full textRaw confocal images for 2 slot NPN coculture insert Fig. 7 of The Modular µSiM: A Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro</p
The Modular μSiM: SamplingPerm_hCMECD3_LY_20210729 .xlsx
No full textRaw data files (excel) for sampling or in situ permeability assaysRaw data (excel) files for in situ and sampling permeabiiity across hCMEC/D3 monolayers for The Modular μSiM: A Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro</p
UR-Specific NIH Data Management and Sharing Plan Template and Checklist
No full textThis is a University of Rochester specific template, complete with guidance and example language, to help create a NIH-compliant Data Management and Sharing Plan. Remember to use NIH’s official template to create your DMSP, while using ours as guidance and to find UR-specific language.The examples and guidance supplied in this document are suggestions based on a variety of scenarios and requirements. We recommend that you not simply copy and paste the example language and, instead, distill multiple examples in your own words to suit your specific needs.A separate checklist is also included to help with creating your DMSP. If you need any assistance, please contact UR Libraries Data Services. This document is part of our collection of resources on writing DMSPs for the NIH. Check out our collection for more guides.</p
[ relative elevation model data visualization for Data Bloom 2024 ]
No full textThis visualization takes the digital elevation model (DEM) of a portion of the Colorado River and transforms it into a relative elevation model (REM); unlike DEM, REM shows the relative height above the river and can more clearly highlight river features. The main river stream is shown in a bright yellow color, and the 'borders' of it are cyan/blue, representing a higher elevation depicting runoff or remnants of floods.This was submitted as part of the 2024 Data Bloom Data Viz competition.This viz was created using QGIS and Python, based on the following dataset: U.S. Geological Survey, 20230418, USGS 1/3 Arc Second n37w113 20230418: U.S. Geological Survey.</p
Raw data files for paper on permeation
No full textRaw data files for a permeation paper being submitted to Physical Review Materials.</p
General Chemistry Textbook, volume 1
No full textThis is the textbook for General Chemistry at the University of Rochester, CHEM 131 and CHEM 132. The substance of this textbook is excerpted from the book Chemistry: Atoms First 2e which is available in Open Stax. The Open Stax materials have been put together by a consortium of diverse faculty from across the country and made freely available. The UR faculty who teach introductory Chemistry have chosen these materials for this course since they are both high quality and free of charge to students. This current version has been customized for our own curriculum so that the materials are presented in the order deemed best by the UR faculty. Acknowledgements for the conceptual organization go to Profs. Hafensteiner, Knowles, Matson, McCamant, Olsen, Rothberg and Stanford. Assembly of the text was facilitated by the generous support of the University of Rochester River Campus Libraries’ Open Education Grant. We extend our heartfelt thanks for their funding, which enabled the invaluable contributions of a student worker, Carolyn Xu, who played a critical role in this project. Thanks too to the River Campus Libraries’ Open Educational Resources Working Group members Eileen Daly-Boas and Wendy Way. The original Chemistry textbook can be found at https://openstax.org/details/books/chemistry-atoms-first-2e and the preface to that work can be found in Appendix N of this modified text.</p
Raw Data Files for Identifying novel radioprotective drugs via salivary gland tissue chip screening
No full textExcel data files for all of the figures in the manuscript</p