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1970 2024
5282 results
  • Key Performance Indicators for Cultural Resonance
    Data collected from on-line survey of Haitian American participants reviewing ad concepts created to promote COVID-19 vaccination as well as student ratings of ads using cultural resonance checklist.
    • Dataset
  • Waiting List for Elective Surgeries: 10 Years of Demand Predictions per Specialty and Region in Chile
    The dataset presented in this repository was created using de-identified historical surgical data (2012-2021) from 10 regional health services in Chile. To request access to the historical information, follow this link: Data: The dataset below covers the future predicted surgical demand (2022-2031) obtained through 100 ARIMA models considering the following specialties in each of the ten regions: Cardiology, head and neck, ear nose and throat, plastic surgery, gastroenterology, gynecology and obstetrics, neurology and neurosurgery, ophthalmology, traumatology, and urology and nephrology. Furthermore, three different demand scenarios are provided per region, specialty, and year. The scenarios are low, medium, and high demand, considering a 95% prediction interval. The attached data table (8x1001) has the following structure: Column 1 presents a numerical regional health service ID. Column 2 presents a numerical specialty ID. Column 3 presents the year of prediction. Column 4 presents the predicted medium demand scenario. Column 5 presents the predicted low-demand scenario. Column 6 presents the predicted high-demand scenario. Column 7 presents the regional health service name. Column 8 presents the specialty name. Feel free to contact us if you have any questions about the dataset.
    • Dataset
  • Mechanistic Insights into GPCR-Gαβγ Complex Initiating Nucleotide Exchange
    Raw data for Figure 1B Raw data for Figures 2A-2G Uncut Native-PAGE for Figure S2B Uncut SDS-PAGE for FPLC fractions
    • Dataset
  • Data From: Fecal indicator bacteria and sewage-associated marker genes are associated with nitrate and environmental properties parameters in Florida freshwater systems
    This dataset contains measurements of fecal indicator bacteria (Escherichia coli and enterococci), microbial source tracking markers (HF183 and GFD), nutrients, and environmental parameters from two freshwater Florida streams. Water and sediment was collected over a 26-month period. Fecal indicator bacteria were cultured from water and sediment, microbial source tracking markers were assessed in water by qPCR, and nutrients were measured in water and sediment.
    • Dataset
  • Data from: Persistence of Sewage-Associated Genes in Conventional and Advanced Treated Recycled Water: Implications for Microbial Source Tracking in Surface Waters
    This dataset contains measurements of concentrations of microbial source tracking markers (EC23S857, HF183, H8 marker, and CPQ_056) and culturable Escherichia coli including the proportion that carry the sewage-associated H8 gene (cH8). Sewage and recycled water were sampled on three separate events from three advanced and three conventional wastewater treatment facilities in central Florida to explore differences in the persistence of microbial variables. We determined which treatment (advanced or conventional) was more effective in the reduction of microorganisms and their DNA in both bacteria and the viral marker crAssphage CPQ_056.
    • Dataset
  • Raw data - Bacteria 2023
    All immune and endocrine data used in the analyses from the manuscript: "Stimulation with heat-killed bacteria (Aeromonas hydrophila) promotes immune and endocrine alterations in toads".
    • Dataset
  • Readability of Online Dermatology Patient Education Resources
    Here we provide the data that was used for our health literacy project assessing the readability of various online resources used to educate patients about common dermatological conditions. Included is a spreadsheet of the raw data we collected via 'Readable' and links to all of the individual articles used in the data collection process. The second spreadsheet organizes the results of our data after analysis with various bio-statistical measures.
    • Dataset
  • PFAS in sediments and fishes in Tampa Bay
    The objective of this study is to quantify PFASs in sediment and fishes collected from Tampa Bay to further estimate human health risks from dietary exposures. Sediment (n = 17) and fish (24 species, n = 140) were collected throughout Tampa Bay in 2020 and 2021 and analyzed for 25 PFAS compounds. Concentrations of PFASs in sediments and edible tissues of fish ranged from 36.8 to 2,990 ng kg-1 (dry weight) and 307 to 33,600 ng kg-1 (wet weight), respectively. Generally, levels were highest in Old Tampa Bay and decreased south towards the Gulf of Mexico. Profiles in both matrices were generally dominated by perfluorooctane sulfonic acid (PFOS) with variations by location.
    • Dataset
  • Planktonic foraminifera δ18O and concentrations of major and trace elements from IODP Hole U1432C
    We investigate the last 230 kyr terrigenous input changes to the northeast SCS deep-sea based geochemical properties of Hole U1432C (3829 m water depth) retrieved by the International Ocean Discovery Program (IODP) Expedition 349. The dataset includes δ18O stable isotope signal obtained from planktonic foraminifera (Globigerinoides ruber white > 150 µm) and elemental composition of the sediments.
    • Dataset
  • Noise Signature Identification (Ambient Sounds in the University of South Florida, EBII)
    We recorded the ambient sound of several rooms of the Engineering Building II of the University of South Florida. After filtering the sample to isolate ambient noise, we trained the system using both binary classification -whether or not an audio sample belonged to a specific room- and multi-class classification, which room out of the 19 possible rooms, hallways, entries, and meeting spaces does the audio sample belong to. These files contain the ARFF files used to train and test the models in Weka ( They are separated by rooms to the Binary classification, except one for the Multiclass classification.
    • Dataset