The files include an Excel file with the x-, y-, and z- coordinates that make up the nodal coordinates for a surface model of small (5th percentle) female pelvis geometry, the finite element model (.k file) that represents the nodal coordinates, and two surface files that represent the geometry (.obj and .ply).
As discussion and debates on the digital humanities continue among scholars, so too does discussion about how academic libraries can and should support this scholarship. Through interviews with digital humanities scholars and academic librarians within the Center for Institutional Cooperation, this study aims to explore some points of common perspective and underlying tensions in research relationships. Qualitative interviews revealed that, while both groups are enthusiastic about the future of faculty-librarian collaboration on digital scholarship, there remain certain tensions about the role of the library and the librarian. Scholars appreciate the specialized expertise of librarians, especially in metadata and special collections, but they can take a more active stance in utilizing current library resources or vocalizing their needs for other resources. This expertise and these services can be leveraged to make the library an active and equal partner in research. Additionally, libraries should address internal issues, such as training and re-skilling librarians as necessary; better-coordinated outreach to academic departments is also needed.
This is the post-randomization shortest cerclage measurement of each participant who entered the randomization (which means their cerclage measurement was less than 25mm at one of the visits). The data were provided by John Owens from U Alabama. No codebook was associated with it.
This is the clinical data and vaginal measurement data U of Alabama provided. The column names are fairly self-explanatory. There was not an original data codebook associated with it. There has been some email exchanges to clarify several variables, which is recorded in the Word file "cerclage_owenscodebook.doc".
This is the bacterial DNA data extracted from the gram stain slides. The targeted bacteria genera and species include: Atopobium spp., bacterial vaginosis-associated bacterium (BVAB) types 1, 2 and 3 in the order Clostridiales, Escherichia coli, Gardnerella vaginalis, Group B Streptococcus, Lactobacillus spp., Mobiluncus spp., Mycoplasma spp., and Ureaplasma spp. We also used a primer set for Lactic Acid Bacteria (LAB) that includes lactic acid producing bacteria of the genera Lactobacillus, Pediococcus, Leuconostoc, and Weissella. We calculated the relative proportion of each bacterial taxon using the bacterial copies measured by each specific bacteria primer divided by the total bacterial copies. The limit of detection was 100 copies and readings lower than the limit were considered negative