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University of South Florida

University of South Florida Showcase

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2026
1970 2026
75 results
  • Florida Middle Grounds Bathymetry
    Bathymetry data for the Florida Middle Grounds Habitat Area of Particular Concern (HAPC), provided as a raster grid with a spatial resolution of 0.0001 decimal degrees in the WGS 84 geographic coordinate system (EPSG:4326). The dataset was derived from multibeam echosounder surveys conducted between August 2000 and August 2006 using a Kongsberg Simrad EM3000 operating at 300 kHz. Surveys were conducted by the University of South Florida under the direction of Principal Investigator Dr. David F. Naar aboard the R/V Suncoaster. Multibeam bathymetry data were processed using CARIS HIPS/SIPS software and compiled into a continuous bathymetric surface representing the Florida Middle Grounds HAPC. A related bathymetric dataset is available through NOAA's National Centers for Environmental Information (NCEI). The version archived here is provided as a regular geographic-coordinate raster grid and contains fewer missing cells than the corresponding NOAA-distributed raster product, resulting in more continuous spatial coverage across portions of the study area.
  • Gibson et al 2026
    All sample data provided by NEON along with measured FKBP5 from blood.
  • Data from 'Characterization of intraocular pressure variability in conscious rats' manuscript
    Raw and processed data from manuscript figures describing contributions of transient, sustained, and diurnal fluctuations to IOP variability
  • Data from "Circadian IOP rhythm in rats is driven by neural signals from the brain" manuscript
    Raw, processed, and fitted data from manuscript figures on effects of tetrodotoxin and superior cervical ganglionectomy on IOP.
  • Data and Codes utilized for the study of the Lava Flow of Little Cones, Nevada, USA, using UAV magnetic data. DOI https://doi.org/10.3133/pp1890R.
    This repository includes the data utilized in the paper “High -Resolution Magnetic Survey Using an Unoccupied Aerial Vehicle to Constrain Buried Lava Flow Geometry, Volume, and Eruptive History of Little Cones, Crater Flat, Nevada” by Van Alphen and colleagues. DOI: https://doi.org/10.3133/pp1890R. This paper contributes to a special volume by the USGS. Data were collected from October 17 to October 22, 2019, in the Craters Flat area of Nevada, United States. A Unmanned Aerial Vehicle (UAV) and the Sensys R3 MagDrone instrument were employed for data collection purposes. The procedures pertaining to data collection and processing are delineated comprehensively in the paper. The data collected on October 22 primarily pertain to the ‘fencing’ methodology. The folder, “Raw R3 Magdrone Data,” contains unaltered Sensys MagDrone format data captured during flight. No modifications were made to the preserved files. Users must have Sensys software to access this data, which cannot be shared due to licensing restrictions. The dataset is organized into folders by acquisition date, with each file corresponding to a single flight. Filenames include the data collection date and time, the magnetometer model (R3), and its serial number. The folder, “Raw R3 data in ASCII csv format," contains unaltered raw data from the Sensys R3 MagDrone in ASCII csv format, identical to the files in the instrument. It is organized similarly by acquisition dates, with filenames detailing the start date, time, magnetometer model (R3), and serial number. The data format is in the file headers. Magnetic data were collected at 200Hz, and GPS data at 5Hz. The folder “Filtered, reduced and split clean lines” contains magnetic data cleaned of outliers and divided into straight flight lines. Files are organized by day, with each line extracted based on the anticipated magnetic field direction at Craters Flat, Nevada, as described in the referenced paper. The data was filtered at 1Hz using Sensys Magdrone software, with Easting and Northing coordinates for UTM zone 11N included. Each column is described in the file header. Filenames include the flight start date, time, direction, and coordinates. Only lines in the North-South, South-North, East-West, and West-East orientations are kept; lines under 100 meters and ferry lines are excluded. The “Leveled dataset in a uniform spacing grid” contains the final dataset for the inversion process. Processing procedures are detailed in the associated paper. Data is organized on a 10-meter regular spacing grid using GMT’s surface routine with minimum curvature. Additionally, data is formatted in GMT NetCDF. The "Photogrammetry Photos and ancillary data" folder contains all the photos taken during the photogrammetry survey. The photos were taken every second but only every 5th photo was used in the DEM creation. There is also the resultant DEM from the photogrammetry model and the ground control points used to georeference the model.
  • Data from 'Characterization of intracranial pressure variations in ventricular and subarachnoid spaces of the rat brain' manuscript
    Raw and processed physiological data for figures. Supplemental Information on response characteristics of ventricular and subarachnoid recording electrodes.
  • Data from 'Effect of ambient lighting on intraocular pressure rhythms in rats' manuscript
    Raw, processed, and fitted IOP data of manuscript figures.
  • BSC distribution maps in Great Salt Lake (GSL)
    This dataset is the spatial distribution maps of brine shrimp cyst detected from Landsat images in Great Salt Lake (1984-2024).
  • Replication data for: "Old But Gold: Historical Pathways and Path Dependence"
    This replication package reproduces all tables and figures in "Old But Gold: Historical Pathways and Path Dependence." It contains the analysis-ready datasets (municipality, mining census area, and census wage microdata panels, together with auxiliary historical series on population, GDP, crops, railroads, and roads), the digitized shapefiles for colonial gold roads, least-cost-path instruments, administrative boundaries, and highways, and the R and Julia scripts that build the tables, regression output, and maps from these inputs. Running MakeFiles.R executes the full pipeline and writes results to tables/ and figures/.
  • SaWS impact assessment: Methods and Results
    This dataset contains the detailed Methods and Results for the following paper: “Sargassum Watch System: an online tool to address societal needs” by the same authors of this dataset. Specifically, the dataset contains the following files: SaWS_Google_Analysitcs_Methods.docx SaWS_Google_Analysitcs_Results.xlsx These are the methods of using Google Analytics to generate Web access statistics, and the corresponding statistics. SaWS_Literature_Review_Methods.docx SaWS_Literature_Review_Results.xlsx These are the methods of conducting literature review, and the corresponding review results including the publication title and author names as well as how they are related to SaWS. SaWS_Media_Coverage_Methods.docx SaWS_Media_Coverage_Results.xlsx These are the methods of searching for relevant public media coverage (both online and print, in both English and Spanish), and the corresponding search results on how SaWS or the personnel behind SaWS were cited by the public media. SaWS_Survey_Questions.docx SaWS_Survey_Answers_anonymized.xlsx SaWS_Survey_User_Quotes_anonymized.docx These are the methods to conduct an online survey, along with the survey questions. The Excel file contains all detailed answers to the survey questions, with names and email addresses anonymized to protect privacy. The last file contains user narratives on how SaWS was used by them or by their organizations. To protect privacy, all user names are anonymized.