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  • Dataset for: Panther Tongue - outcrop analog - metric database

    Description:
    The data are bed-scale measurements taken from virtual outcrop models (Morris, E.A., Atlas, C.E., Johnson, C.L., 2023, Architectural analysis of the Panther Tongue - virtual outcrop models) and calibrated with measurements taken at outcrop in the field.
    Keyword:
    outcrop metrics, geology, delta lobes, virtual outcrop models, shallow marine sedimentology , reservoir characteristics, and geophysics
    Subject:
    Geography and Geophysics
    Creator:
    Atlas, Claire, Morris, Emma, and Johnson, Cari
    Contributor:
    Claire Atlas
    Owner:
    Emma Morris
    Based Near Label Tesim:
    Salt Lake City, Utah, United States
    Language:
    English
    Date Uploaded:
    12/20/2022
    Date Modified:
    12/04/2023
    Date Created:
    2020-01-01 to 2022-05-31
    License:
    CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type:
    Dataset
    Identifier:
    https://doi.org/10.7278/S50d-40cy-rkf5

  • Dataset for: Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

    Description:
    Abstract: Data for Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah This data file was used to estimate the performance of the Alphasense OPC-N3 and PMS5003 sensor in measuring ambient PM10, especially during dust events, and to obtain correction factors to correct the PMS5003 data. During April 2022, the OPC-N3 and PMS5003 sensors were collocated with federal equivalent method (FEM)at two Utah Division of Air Quality (UDAQ) sites: Hawthorne (HW) station and Environmental Quality (EQ) station. One residential site (RS)was also tested, with OPC-N3 and PMS5003 collocated with GRIMM portable aerosol spectrophotometer. The FEM data (PM2.5 and PM10 concentrations) and meteorological parameters (wind speed, wind direction, relative humidity, and temperature) for the two UDAQ sites were downloaded from the EPA website. The Excel sheet contained all the raw data and the processed data. The FEM, OPC-N3, and PMS5003 measurements were labeled as FEM-YYY, OPC-YYY, and PMS-YYY, where YYY represents the sites nomenclature, i.e., HW, EQ, and RS. The sheet labeled “HW”, “RS”, and,” EQ” contained the raw measurements (meteorological, PM10, and PM2.5 (whenever applicable)) for the sites. The sheet” PM-ratio-based correlation” provided the data used to get the PM-ratio-based correlation. Briefly, based on the ratio of FEM-HW PM2.5/PM10, the FEM-HW and PMS-HW PM10 measurements were segregated into six bins: PM2.5/PM10: <0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.7, and >0.7. For each bin, the co-located PMS-HW PM10 concentrations were linearly regressed against the FEM-HW PM10 concentrations to obtain correction factors (slope and intercept). These correction factors were later used to correct the PMS PM10 concentrations at the other two locations (RS and EQ), presented in the sheets with labels “RS correction using GRIMM ratio”, “RS correction using opc ratio” and “EQ corrected using EQ ratio”. Each sheet also includes the calculation of RMSE and NRMSE of OPC-YYY and PMS-YYY against FEM-YYY, with YYY as the site nomenclature.
    Keyword:
    Plantower PMS5003, dust events, air pollution, air quality, ppticle particle counters, PM10, AQI, particulate matter, PM sensor, and Alphasense OPC-N3 performance during
    Subject:
    air pollution
    Creator:
    Kelly, Kerry and Kaur, Kamaljeet
    Owner:
    Based Near Label Tesim:
    Salt Lake City, Utah, United States
    Language:
    English
    Date Uploaded:
    10/20/2022
    Date Modified:
    12/04/2023
    Date Created:
    2022-04-01 to 2022-04-30
    License:
    CC BY – Allows others to use and share your data, even commercially, with attribution.
    Resource Type:
    Dataset
    Identifier:
    https://doi.org/10.7278/S50d-xbns-3ge3

  • Data for: Using Bayesian Analysis to Quantify Uncertainty in Radiometer Measurements

    Description:
    We apply Bayesian inference to instrument calibration and experimental-data uncertainty analysis for the specific application of measuring radiative intensity with a narrow-angle radiometer. We develop a physics-based instrument model that describes temporally varying radiative intensity, the indirectly measured quantity of interest, as a function of scenario and model parameters. We identify a set of five uncertain parameters, find their probability distributions (the posterior or inverse problem) given the calibration data by applying Bayes’ Theorem, and employ a local linearization to marginalize the nuisance parameters resulting from errors-in-variables. We then apply the instrument model to a new scenario that is the intended use of the instrument, a 1.5 MW coal-fired furnace. Unlike standard error propagation, this Bayesian method infers values for the five uncertain parameters by sampling from the posterior distribution and then computing the intensity with quantifiable uncertainty at the point of a new, in-situ furnace measurement (the posterior predictive or forward problem). Given the instrument-model context of this analysis, the propagated uncertainty provides a significant proportion of the measurement error for each in-situ furnace measurement. With this approach, we produce uncertainties at each temporal measurement of the radiative intensity in the furnace, successfully identifying temporal variations that were otherwise indistinguishable from measurement uncertainty.
    Subject:
    Validation and Simulation
    Creator:
    Scheib, Kaitlyn, Spinti, Jennifer P., Smith, Sean T., Harding, N. Stanley, Smith, Philip J., and Draper, Teri S.
    Owner:
    Philip Smith
    Based Near Label Tesim:
    Salt Lake City, Utah, United States
    Language:
    English
    Date Uploaded:
    12/01/2020
    Date Modified:
    01/28/2022
    Date Created:
    November 2020
    Resource Type:
    Software or Program Code
    Identifier:
    https://doi.org/10.7278/S50D6AFQ84VP

  • Human and Ovine Vitreoretinal Adhesion

    Description:
    While several studies have qualitatively investigated age- and region-dependent adhesion between the vitreous and retina, no studies have directly measured the vitreoretinal strength of adhesion. In this study, we developed a rotational peel device and associated methodology to measure the maximum and steady-state peel forces between the vitreous and the retina. Vitreoretinal adhesion in the equator and posterior pole were measured in human eyes from donors ranging 30 to 79 years of age, and in sheep eyes from premature, neonatal, young lamb, and young adult sheep. In human eyes, maximum peel force in the equator (7.24 ± 4.13 mN) was greater than in the posterior pole (4.08 ± 2.03 mN). This trend was especially evident for younger eyes from donors 30 to 39 years of age. After 60 years of age, there was a significant decrease in the maximum equatorial (4.69 ± 2.52 mN, p = 0.016) and posterior pole adhesion (2.95 ± 1.25 mN, p = 0.037). In immature sheep eyes, maximum adhesion was 7.60 ± 3.06 mN, and did not significantly differ between the equator and posterior pole until young adulthood. At this age, the maximum adhesion in the equator nearly doubled (16.67 ± 7.45 mN) that of the posterior pole, similar to the young adult human eyes. Light microscopy images suggest more disruption of the inner limiting membrane (ILM) in immature sheep eyes compared to adult sheep eyes. Interestingly, in human eyes, ILM disruption was significantly greater in the posterior pole (p < 0.05) and in people over 60 years of age (p < 0.02). These findings supplement the current discussion surrounding age-related posterior vitreous detachment, and the risk factors and physiological progressions associated with this condition. In addition, these data further our understanding of the biomechanical mechanisms of vitreoretinal adhesion, and can be used to develop age- appropriate computational models simulating retinal detachment, hemorrhaging, or retinal trauma. See Creveling CJ, Colter J, Coats B. 2018. Changes in vitreoretinal adhesion with age and region in human and sheep eyes. Frontiers in Bioengineering and Biotechnology 6.  https://doi.org/10.3389/fbioe.2018.00153.
    Keyword:
    ophthalmology, retina, vitreous, adhesion, ocular, human, eye, peel test, and sheep
    Subject:
    Quantitative measurement and Vitreoretinal Adhesion
    Creator:
    Coats, Brittany and Creveling, Christopher
    Contributor:
    Colter, Jourdan
    Owner:
    BRIAN MCBRIDE
    Based Near Label Tesim:
    Salt Lake City, Utah, United States
    Language:
    English
    Date Uploaded:
    07/10/2019
    Date Modified:
    04/18/2024
    Date Created:
    Completed 2017-06-01
    License:
    CC BY – Allows others to use and share your data, even commercially, with attribution.
    Resource Type:
    Image, Dataset, and Video
    Identifier:
    https://doi.org/10.7278/S5BK19H3