University of South Florida Showcase

This dataset contains measurements of fecal indicator bacteria (Escherichia coli) and microbial source tracking (MST) gene markers (HF183 and EC23S857), as well as detections of culturable E. coli from tile surfaces experimentally inoculated with sewage influent. Swabbing was conducted using three swab types (i.e., polyester, foam, and nylon-flocked) across three surface treatments: wet (immediate recapture), dry (recapture 20–25 minutes post-inoculation), and 24-hours dry. E. coli culture results are reported in colony forming units (CFU) per milliliter (mL), while qPCR-derived gene marker concentrations are expressed as gene copies (GC) per 100 cm². Experiments were conducted in the Harwood laboratory at the University of South Florida to assess swab recapture and efficiency of recovery under varying moisture and time-delay conditions. Data may be used to evaluate microbial persistence on surfaces and inform sampling protocol development for environmental monitoring and public health surveillance.

This spreadsheet contains digital data and graphics of reflectance of various types of floating matters found in the natural aquatic environments. The data have been compiled from published literature, where the worksheets contain more explanations and references of the data origins.

This dataset contains measurements of concentrations of fecal indicator bacteria (Escherichia coli and enterococci) and microbial source tracking (MST) markers (HF183, Rum2Bac, GFD, DG37, CowM3, and GenBac), and detections of culturable E. coli that carry the sewage-associated H8 gene. This data also includes environmental parameters recorded during each sampling event, including estimations of tide and precipitation, measurements of water temperature, dissolved oxygen, pH, salinity, and turbidity. Surface water was sampled in five different water bodies (Bullfrog Creek, Frenchmans Creek, Hamilton Creek, Northshore Park, and Salt Creek) that discharge directly or indirectly to Tampa Bay in Hillsborough and Pinellas, Florida counties. Samples were collected at several sites in each water body on a monthly basis from July 2022 to June 2024 to identify major sources of fecal pollution. QPCR MST data were also used to estimate human health risk ascribed to primary contact recreational exposure by QMRA.

Second stage (NGT data already exists here, from first stage) of a research project. Exploratory study, no hypotheses. Survey methodology, online questionnaire included mixed data; we used Minitab Statistical software and Observation Oriented Modeling (OOM) software for analysis. Data analysis indicated multiple impacts by Accreditor, Institution Type, and Institutional Designation. Qualitative data analyzed using MAXQDA and a legitimization framework adapted from Deephouse & Suchman, (2017). IRB approval, West Texas A&M University.

Data for manuscript titled "Cooperation in Nature: Nature-based intervention improves mood, creativity, collaboration, and interpersonal affiliation" Abstract: As urbanization accelerates, the cognitive effects of exposure to manmade environments and decreased time in nature become increasingly important to understand. The current study investigates the effects of real-world outdoor exposure versus simulated office-based activities on verbal creativity, mood, and collaboration. Office workers engaged in workplace collaboration either outdoors in nature or indoors in an office setting. Measures of individual affect and verbal creativity were also administered before and after a period of exposure to the assessed environments. The outdoor group showed lower self-reported negative emotions and demonstrated increased performance in one of our two verbal creativity measures. Moreover, groups exposed to nature demonstrated greater satisfaction with their collective problem-solving solutions and with the degree of influence they felt they had during the group discussions, as compared to their indoor counterparts. The current research design and results address multiple components of the Tetrahedal Model, specifically the vertices of materials, participants, contexts, and outcomes. Within the vertex of materials, this study contributes to nature-based research focused on real-world, immersive environments. This study utilizes working adult participants within the context of work-related collaboration. Finally, our findings extend Attention Restoration Theory to include other prefrontal cortex (PFC) processes, such as sensitivity to emotions, verbal creativity, and social cognition.

This dataset contains all microbial data collected (February 2023-January 2025) for the Microbial Source Tracking for Selected Waterbodies within Hillsborough County project. This includes measurements of concentrations of fecal indicator bacteria (Escherichia coli and enterococci) and microbial source tracking markers (HF183, GenBac, GFD, and Rum2Bac), and detections of culturable E. coli that carry the sewage-associated H8 gene. Surface water was sampled in three different water bodies (the Alafia River, Buckhorn Creek, and Rice Creek) on a monthly basis. Environmental data including precipitation is included in the datasheet.

This dataset provides monthly frequency maps of Karenia brevis blooms (red tides) on the West Florida Shelf, 1978-1986, 2003-2024. It integrates data from two satellite sensors: - CZCS-derived maps: Covering 1978-1986, based on CZCS Nimbus-7 data - MODIS-derived maps: Covering 2003-2019, based on MODIS Aqua data - VIIRS-derived maps: Covering 2012-2014, based on VIIRS SNPP data Two spatial resolutions are provided: - 1 km resolution, geographic extent: 88.0°W to 81.0°W, 23.0°N to 31.0°N - 0.1° resolution, geographic extent: 87.5°W to 81.0°W, 25.0°N to 30.5°N File Formats: - TIFF (.tif): Each file contains monthly bloom frequency values ranging from 0 to 1, indicating the proportion of days within the month when a bloom was detected at each pixel. Pixels with no valid observations are marked as NaN. - PNG (.png): Visualization-ready images using a 'jet' colormap, where values from 0 to 1 are mapped to a color gradient (blue to red) for rapid visual inspection. Each file name follows the format: YYYY_MM_monthly_frequency_SENSOR_RESOLUTION.EXT Where: YYYY_MM = year and month of observation SENSOR = MODIS or VIIRS RESOLUTION = 1km or 0.1deg EXT = file extension (.tif or .png)

This dataset collects a record of physical and chemical observations made by two uncrewed sailing vehicles (Saildrone 1038 and Saildrone 1039) in the South Indian Ocean during 2022 and 2023. SD1038 collected data near 15°E and between latitudes 35°S and 50°S during July 19-26, 2022. SD1039 made observations within the Subantarctic Zone (37-47°S, 20-45°E) between September 1, 2022 until February 24, 2023. The local atmospheric and surface ocean parameters measured are listed below: -- Atmospheric measurements: temperature, pressure, humidity. -- Seawater measurements: temperature, pressure, conductivity, salinity. -- Carbon measurements: fCO2, xCO2, and pCO2 in atmosphere and seawater. -- Chlorophyll measurements: concentration. -- Oxygen measurements: concentration, saturation, ratio of O2 in water to air. -- Wind measurements: eastward, northward, and downward speed, plus gusts and direction. -- Wave measurements: significant wave height and dominant wave period. -- Irradiation measurements (SD1039 only): longwave, shortwave, and PAR. -- Current velocity measurements (SD1039 only): eastwards, northwards, and upwards, down to 102m. -- CCMP wind estimates (hourly only): collocated to Saildrone time and location. -- Directions of large eddies transitted (SD1039 hourly only): based on AVISO eddy database. Four files included: -- SD1038_1min.nc (SD1038’s raw data at 1-minute timesteps with frequent gaps) -- SD1039_1min.nc (SD1039’s raw data at 1-minute timesteps with frequent gaps) -- SD1038_hrly.nc (SD1038’s hourly-averaged data, plus eddies and CCMP winds) -- SD1039_hrly.nc (SD1039’s hourly-averaged data, plus eddies and CCMP winds) 1-minute files contain the “raw” data, at all times it was collected. Because many variables were only sampled once or a few times an hour, these files include frequent gaps. Hourly files were made from the 1-minute data, averaging whatever data exists within each hour, such that few gaps in the data exist for most variables.

We conducted an experimental investigation on the impact of a Disclosure requirement (publicly disclosing the auditors actual name) and Sign-Off requirement (requiring auditors to sign-off on the audit report) on auditor misreporting decisions. We used an experimental audit market based on the economic model in Magee and Tseng (1990). Markets were conducted via networked computers utilizing z-tree software (Fischbacher, 2007) and student participants. Two experimental sessions were conducted for each of the four experimental conditions and each session was conducted with two markets operating simultaneously. Consistent with prior research, participants were randomly reassigned to a different market group at the end of each market year (two trading periods) in order to help control reputational concerns among participants, and to remove market group confounds (Calegari, Schatzberg and Sevcik (1998); Schatzberg, Sevcik, Shapiro, Thorne and Wallace (2005); Blay, Gooden, Mellon and Stevens (2019a); Blay, Gooden, Mellon and Stevens (2019b). All manipulations were administered on a between-subjects basis and all participants maintained their original randomly assigned role throughout the experiment. For a detailed description and discussion of the audit market setting, including equilibrium predictions see Blay et al. (2019b). We used the same experimental parameters as the audit markets described in Blay et al. (2019b), with three notable differences. First, we increased the penalty for misreporting from $0.05 to $0.25 in order for the economic penalty for misreporting to be consistent with Blay, Gooden, Mellon and Stevens (2019a). This enables us to better directly compare our results to prior research (Blay et al (2019a) and Schatzberg, Sevcik, Shapiro, Thorne and Wallace (2005)), while also allowing us to understand the interplay between economic penalties and the underlying theoretical mechanisms behind the observed reporting behavior. Second, we eliminated the pre-experimental quiz included in the instructions used in Blay et al. (2019b). Instead, we report the results of the Ethics Position Questionnaire (EPQ), Forsyth (1980), which can be used to measure individual differences in moral thought using its idealism and relativism scales. Lastly, Blay et al. (2019b) presented a 3x1 between-participants experimental design in which disclosure is manipulated at three levels. In particular, Blay et al. (2019b) examined the impact no disclosure, disclosure only, and disclosure with sign-off on auditor misreporting. Instead, we utilized a 2 x 2 between-participants experimental design in which we examined following experimental conditions: No Sign-Off or Disclosure, Sign-Off Only, Disclosure Only, and Sign-Off with Disclosure. We believe that this design choice allows for a more direct comparison between the results of the two studies. In addition to the raw data from the study, the reported Excel file includes a tab with data descriptions.

Steady State Emission