University of South Florida Showcase

Ridesharing data with 220 samples

This dataset contains measurements of concentrations of MST marker HF183 and fecal indicator microorganisms (fecal coliforms and enterococci). Water samples were collected just outside the river plume in three rivers that impact a Costa Rican beach during the rainy and dry season. Microorganisms were filtered from a 500-mL grab sample onto a 0.45-µm, mixed cellulose ester. Enterococci and fecal coliforms were cultured.HF183 was quantified from nucleic acid using quantitative PCR. We examined microbiological water quality in three rivers that impact a Costa Rican beach.

This file includes the microbial community abundance and community change for the paper titled "Autotrophic denitrification supported sphalerite and oyster shells: Chemical and microbiome analysis."

This dataset contains measurements of concentrations of pathogens, MST markers and fecal indicator microorganisms. Water samples were collected in three rivers that impact a Costa Rican beach during the rainy and dry season. Enterococci and fecal coliforms were filtered from a 500-mL grab sample onto a 0.45-µm, mixed cellulose ester. All other microorganisms were concentrated on site from 50 L of water by ultrafiltration. Enterococci, fecal coliforms, C. perfringens, male specific coliphage, somatic coliphage and Salmonella were cultured. Giardia spp. and Cryptosporidium spp. were enumerated by immunomagnetic separation and microscopy. NoVGI, AdV, HF183 and PMMoV were all quantified from nucleic acid using quantitative PCR. We examined microbiological water quality in three rivers that impact a Costa Rican beach, and the risk of illness from swimming in the rivers.

Amino-acid isotope data associated with publication entitled "Reconstructions of individual fish trophic geographies using isotopic analysis of eye-lens amino acids" by Amy A. Wallace, Greg S. Ellis, and Ernst B. Peebles

This dataset contains integrated red tide (Karenia brevis harmful algal blooms) maps for the West Florida Shelf (24N – 31N, 87W – 81W) every month between 2003 and 2019. The integration is over in situ water sample analysis (which provides K. brevis cell concentration) and satellite data (which provides more frequent and spatial coverage than in situ data) using a practical approach. In situ cell counts data were obtained from a database maintained by the Florida Fish & Wildlife Conservation Commission (https://myfwc.com/research/redtide/monitoring/database/), and satellite data were collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite, available through NASA’s OB.DAAC (https://oceancolor.gsfc.nasa.gov). They were integrated to generate monthly maps of K. brevis bloom spatial extent and frequency. Specifically, the maps are expressed as bloom occurrence frequency (BOF) and bloom intensity (BI). The boundary of bloom locations represents the bloom footprint. Both maps are in imagery format (color coded in png files, MODIS_KB_bloom_WFS_images.zip) and binary format (floating point Geotiff files, MODIS_KB_bloom_WFS_binary.zip).

Four hours after plasmid electroporation, we evaluated acute gene expression changes in mouse skeletal muscle to identify regulated genes and genetic pathways. RNA sequencing followed by functional annotation was used to evaluate differentially expressed mRNAs.

This paper describes and provides Z1+, the successor of the Z- and Z1-codes for topological analyses of mono- and polydisperse entangled linear polymeric systems, in the presence or absence of confining surfaces or nano-inclusions. In contrast to its predecessors, Z1+ makes use of adaptive neighbor lists, and keeps the number of temporary nodes relatively large, yielding improved performance for large system sizes. Z1+ also includes several features its predecessors lacked, including several that are advantageous for analyses of semi-crystalline systems, brushes, nano-composites, and flowing liquids. It offers a graphical user interface that can be used to run Z1+ and visualize the results, and a PPA+ option that allows Z1+ to perform a primitive path analysis more efficiently than the standard procedure (PPA option). In addition to describing Z1+'s and PPA+'s implementation and computational performance in detail, we use it to show that it yields entanglement lengths that agree quantitatively with both a recently proposed unified analytic theory for flexible and semiflexible polymer-melt entanglement and with the available experimental data for these systems. Finally we show that the associated theoretical expressions, which express reduced entanglement-related quantities in terms of the scaled Kuhn segment density Λ, need not describe results for model polymer solutions of different “chemistries”, i.e. different angular and dihedral interactions but the same Λ.

We 6,332 images from iNaturalist platform (https://www.inaturalist.org). We have trained two AI models. One is to classify bee-vs-nonbee insects and another one to classify Bumble bee vs Non-bumble bee insects. These images were used to train, validate and test our AI models.

Datasets related to the study "Estimating estuarine primary production using satellite data and machine learning" by Xu, Min et al. 2022, in the International Journal of Applied Earth Observation and Geoinformation.