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Title
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Digital Bridges to Dance
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Description
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Digital Bridges to Dance is a collaborative project by Grinnell College professor Celeste Miller, MFA, and Grinnell College students Obuchi Adikema (Class of 2021, Vivero Fellow); Charlotte Richardson-Deppe (Class of 2019); and Naomi Worob (Class of 2019). The objects in this collection include methods for choreographers to collaborate across geographic distance for the purpose of professional artistic development; curriculum for dance-based experiential embodied practices that can be used by choreographers and other artists, classroom teachers, and community leaders; and documentation of the research and creative products of Miller, Adikema, Richardson-Deppe, and Worob.
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PID
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grinnell:db2d
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Title
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Studio Art
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Description
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This collection contains the work made by students in Grinnell’s Studio Art Department. Student work involves a broad range of media from studio courses, which includes: painting, drawing, sculpture, ceramics, print media, digital media, and installation. It also features images from student exhibitions at the Smith Gallery, and the annual Bachelor of Arts Exhibition at the Faulconer Gallery.
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PID
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grinnell:studio-student-art
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Title
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A Data Set of Annotated Historical Maps
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Description
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This data set is designed for testing the performance of optical character recognition algorithms on text in scanned historical map images
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Date Created
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2013
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PID
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grinnell:3246
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Title
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Characterizing the soil microbiome and quantifying antibiotic resistance gene dynamics in agricultural soil following swine CAFO manure application
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Description
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As agriculture industrializes, concentrated animal feeding operations (CAFOs) are becoming more common. Feces from CAFOs is often used as fertilizer on fields. However, little is known about the effects manure has on the soil microbiome, which is an important aspect of soil health and fertility. In addition, due to the subtherapeutic levels of antibiotics necessary to keep the animals healthy, CAFO manure has elevated levels of antibiotic resistant bacteria. Using 16s rRNA high-throughput sequencing and qPCR, this study sought to determine the impact of swine CAFO manure application on both the soil microbiome and abundance of select antibiotic resistance genes (ARGs) and mobile element genes (erm(B), erm(C), sul1, str(B), intI1, IncW repA) in agricultural soil over the fall and spring seasons. We found the manure community to be distinct from the soil community, with a majority of bacteria belonging to Bacteroidetes and Firmicutes. The soil samples had more diverse communities dominated by Acidobacteria, Actinobacteria, Proteobacteria, Verrucomicrobia, and unclassified bacteria. We observed significant differences in the soil microbiome between all time points, except between the spring samples. However, by tracking manure associated taxa, we found the addition of the manure microbiome to be a minor driver of the shift. Of the measured genes, manure application only significantly increased the abundance of erm(B) and erm(C) which remained elevated in the spring. These results suggest bacteria in the manure do not survive well in soil and that ARG dynamics in soil following manure application vary by resistance gene.
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Date Created
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2020
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PID
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grinnell:28277
