Physical Sciences and Mathematics Commons^™

Mauvais Coulee Hydrologic Simulation Data, Sharhad Wainty, Taufique H. Mahmood, Christopher Spence, Diane F. Van Hoy

Datasets

The authors compiled a hydrologic model for the Mauvais Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed and simulated streamflow, observed climatic data, land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to wetting using a cold region hydrologic model during 1990-2004 period.

Data In 'Development At The University Of North Dakota Of A Digital Thermosonde Instrument For The Study Of Atmospheric Optical Turbulence (C_N^2)', Blake T. Sorenson, David J. Delene

Datasets

A thermosonde, an instrument that measures very high resolution temperature difference between two fine-wire platinum thermocouples, was attached to a weather balloon and lifted through the atmosphere, collecting observations of optical turbulence, in the spring of 2018 and 2019. The thermosonde collected raw temperature difference measurements, while an onboard Graw DFM-09 radiosonde observed standard meteorological parameters (temperature, air pressure, wind speed, wind direction, relative humidity, and altitude). The Graw meteorological observations are housed in the .txt files, while the raw radiosonde data (containing the raw, encoded thermosonde measurements) are housed in the .gsf files. The decoded voltage and temperature difference …

Survey On Outdoor Navigation Applications For People With Visual Impairment, Fatmaelzahraa Eltaher, Luis Miralles-Pechuán, Jane Courtney, Susan Mckeever

Datasets

Outdoor navigation is a very challenging activity for People who suffer from Blindness or Visually Impairment (PBVI). Having examined the current literature, we conclude that there are very few publications providing a nuanced understanding of how PBVI undertake a journey in an outdoor environment and what their main challenges and obstacles are. To throw some light on this gap, we conducted a questionnaire in collaboration with the National Council for the Blind Ireland (NCBI) for 49 PBVI. Our questionnaire gathers information about key aspects related to PBVI outdoor navigation such as support tools/devices, hazards, journey preparation, crossing roads, and understanding …

Synthetic Heart Sound Dataset, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Datasets

The repository contains synthetic heart sound recordings. The publication related to this dataset is "Exploring the impact of noise and degradations on heart sound classification models", Biomedical Signal Processing and Control journal.

Survey Data: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony Robinson Dr.

Datasets

A survey was conducted to determine the preferred set point temperature and heating pattern among Irish households. The survey was sent to 237 people living across Ireland, out of which 32 respondents skipped the survey and 9 surveys were found to be incomplete. Amongst the counties in Ireland 71.1% respondents were from Dublin, 6.34% from Kildare, 5% from Meath, 5% from Wicklow and in all the remaining counties response rate was below 2%. Part 1: This section of the survey recorded information regarding characteristics of the building such as house type, wall type, insulation type, period the house was built. …

Software For A Conformally Invariant Yang-Mills Type Energy And Equation On 6-Manifolds, Lawrence Peterson

Datasets

The author has developed some new computer software and has used it, together with Mathematica and John M. Lee's Ricci software package, to verify many of the results in the article "A Conformally Invariant Yang-Mills Type Energy and Equation on 6-Manifolds" (arXiv:2107.08515). The author's new software is posted here, along with the Ricci package and a special guidelines file. One should read this guidelines file before studying or using the software.

Detecting Road Intersections Automatically From Satellite Images Using A Deep Learning Approach, Fatmaelzahraa Eltaher, Luis Miralles-Pechuán, Jane Courtney, Susan Mckeever

Datasets

Automatic detection of road intersections is an important task in various domains such as navigation, route planning, traffic prediction, and road network extraction. Road intersections range from simple three-way T-junctions (degree 3) to complex large-scale junctions with many branches. The location of intersections and their complexity is an important consideration in route planning, such as the requirement to avoid complex intersections on pedestrian journeys. This is relevant to vulnerable road users such as People with Blindness or Visually Impairment (PBVI) or children. Route planning applications, however, do not give information about the location or complexity of intersections as this information …

Quantitative Raman Analysis Of Carotenoid Protein Complexes In Aqueous Solution, Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh Byrne

Datasets

Carotenoids are naturally abundant fat-soluble pigmented compounds, with dietary, antioxidant and vision protection advantages. The dietary carotenoids, Beta Carotene, Lutein and Zeaxanthin, complexed with in bovine serum albumin (BSA) in aqueous solution, were explored using Raman spectroscopy to differentiate and quantify their spectral signatures. UV visible absorption spectroscopy was employed to confirm the linearity of responses over the concentration range employed (0.05-1mg/ml) and, of the 4 source wavelengths, 785nm, 660nm, 532nm, 473nm, 532nm was chosen to provide the optimal response. After preprocessing to remove water and BSA contributions, and correct for self-absorption, a partial least squares model with R^{2 …}

Pothole Detection Under Diverse Conditions Using Object Detection Model, Ibrahim Hassan Syed, Dympna O'Sullivan, Susan Mckeever

Datasets

One of the most important tasks in road maintenance is the detection of potholes. This process is usually done through manual visual inspection, where certified engineers assess recorded images of pavements acquired using cameras or professional road assessment vehicles. Machine learning techniques are now being applied to this problem, with models trained to automatically identify road conditions. However, approaching this real-world problem with machine learning techniques presents the classic problem of how to produce generalizable models. Images and videos may be captured in different illumination conditions, with different camera types, camera angles and resolutions. In this paper we present our …

Mauvais Coulee Basin Hydrologic Data (Observation And Simulation), Diane F. Van Hoy, Taufique H. Mahmood, Paul E. Todhunter, Tyson L. Jeannotte

Datasets

The authors collected snow water equivalent (SWE) data and compiled a hydrologic model for the Mauvais Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed SWE, observed streamflow, simulated SWE, simulated streamflow, simulated SWE maps (Feb 26, Jan 29, Jan 8 and Mar 26 of 2017), land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to recent wetting using a cold region hydrologic model.

Analysis Of Concurrent Backscatter Coefficients From In-Situ Cloud Probes And Airborne Lidar, Shawn Wagner, David J. Delene

Datasets

The North Dakota Citation Research Aircraft obtained measurements of anvil cirrus clouds over Florida during the summer of 2015 (CAPE2015). The Citation is fitted to take measurements of atmospheric variables (pressure, temperature, dew point, wind velocity, etc...) as well as cloud particle properties (concentration, size-distribution, water content, etc...). Data (at 1 Hz) is included from four flights occuring on 31 July 2015, 1 August 2015, and 2 August 2015. Cloud properties were measured by the Two-Dimensional Stereo probe (2D-S), the High-Volume Precipitation Spectrometer (HVPS3) probe and the Nevzorov probe. Additionally, particle data from the 2D-S and HVPS3 are combined to …

A Multi-Platform, In-Situ Kinematic And Microphysical Analysis Of A Parallel Stratiform-Mesoscale-Convective System, Andrea Neumann, Michael Poellet, David J. Delene, Mark Askelson, Kirk North, Mariko Oue

Datasets

The North Dakota Citation Research Aircraft obtained measurements of stratiform precipitation clouds within mesoscale convective systems over Oklahoma during the spring of 2011 (MC3E) in conjunction with a multitude of ground- and airborne-based remote sensing instruments. The Citation was used to take measurements of base atmospheric variables as well as cloud and precipitation properties. Cloud droplet properties were measured by the Cloud Imaging Probe (CIP), Two-Dimensional Cloud probe (2D-C), the High-Volume Precipitation Spectrometer Version 3 (HVPS3) probe, with the spectra from these probes combined to create a single drop size distribution. The Atmospheric Radiation Measurement (ARM) program ran three X-Band …

Software For Conformal Boundary Operators, T-Curvatures, And Conformal Fractional Laplacians Of Odd Order, Lawrence Peterson

Datasets

The author has developed some new computer software and has used it, together with Mathematica and John M. Lee's Ricci software package, to construct and verify many of the symbolic formulae in the article "Conformal boundary operators, T-curvatures, and conformal fractional Laplacians of odd order," by the author and A. Rod Gover. This software is posted here, along with the Ricci package.

The author has also prepared a special guidelines file describing the new software. This guidelines file briefly describes Mathematica and Ricci as well. One should read Section 3 of the guidelines file before saving the main software file …

Contextual Word Embeddings - Trained On English Wikipedia Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. These have been trained on real language sentences collected from the English Wikipedia. As such, they contain contextual (thematic) knowledge about words (rather than taxonomic).

Taxonomic Word Embeddings - Trained On English Wordnet Random Walk Pseudo-Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. They have been trained on pseudo-sentences generated artificially from a random walk over the English WordNet taxonomy, and thus reflect taxonomic knowledge about words (rather than contextual).

English Wikipedia Corpus Chunks, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of language corpora. These are text files that contain samples of text collected from English Wikipedia.

Two Years Of Scintillometer Data Collected In North Dakota, Xiaodong Zhang Ph.D, Wai Wah Ng

Datasets

Each file contains data required for scintillometer analysis. Data of different variables were measured in a minute sampling rate at N 5216013.631 E 492396.090 on a specific day. Variables include, but not limited to, structure function constant of refractive index, soil heat flux, wind speed, wind direction, net radiation, pressure, relative humidity, upper/lower temperatures, etc.

Sky And Water Leaving Radiance, Xiaodong Zhang Ph.D, Afshin Shabani

Datasets

Measured on boat using ASD instrument.

Total Suspend Solids Concentration (Mg L-1), Xiaodong Zhang Ph.D, Afshin Shabani

Datasets

Collected at the water surface.

Snow Depth Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

Ten precipitation stations were set up to collect precipitation data (including rainfall/snowfall and snow depth measurements) across 6 USGS HUC10 watersheds. The ultrasonic snow depth sensor was utilized to obtain continuous and non-contact snow depth measurements (Ultra Sonic Snow Depth Sensor (USH-8), Hydrological Services America). Data accuracy is within 0.1% due to the integrated temperature compensation and filtering of snow and rainfall using intelligent spectrum analysis. However, the sensor does pick up any vegetation beneath the sensor. Thus, the snow depth data were processed. See the ReadMe file for complete details located in the zip file of snow depth data.

Spatially Distributed Pothole Depth Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

The locations of our surveyed potholes are located in the Cottonwood Lake Study Area (CLSA) of the USGS Northern Prairie Wildlife Research Center (NPWRC). RiverSurveyor M9 by SonTec (RiverSurveyor M9) was utilized to obtain spatially distributed pothole depth data. This way a modified DEM was created which reflected the pothole bathymetry rather than the water surface elevations. The M9 records water depths using multi-band multiple acoustic frequencies from the vertical beam which “pings” the pothole bed while simultaneously collecting the GPS coordinates of each “ping”. High ping rates ensure robust data collection and high resolution. The vertical beam can measure …

Temporal Pothole Depth Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

The locations of our surveyed potholes are located in the Cottonwood Lake Study Area (CLSA) of the USGS Northern Prairie Wildlife Research Center (NPWRC).The HOBO pressure transducers (HOBO Pressure Transducer) used in this hydrologic monitoring study are wireless water level loggers with Bluetooth capabilities for data download. These sensors have a 3-point NIST-traceable calibration certificate from ONSET. They were self-calibrated/lab tested by our NDSU hydrologic modeling group. The measured water level accuracy is ± 0.05 – 0.1%. The sensors were installed in the summers of 2016 and 2017 and removed in late September or early October of each year, respectively. …

Precipitation Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

Ten precipitation stations were set up to collect precipitation data (including rainfall/snowfall and snow depth measurements) across 6 USGS HUC10 watersheds. The heated tipping bucket rain gauge was utilized to obtain precipitation measurements. The heating mechanism engaged when temperatures were below freezing and thawed frozen precipitation to acquire measurements year-round (Heated Tipping Bucket Rain Gauge, Hydrological Services America). The data accuracy is within +/- 3% even with high rainfall intensities due to the integrated syphon mechanism which controls the release of precipitation into the tipping bucket (TB3 Tipping Bucket Rain Gauge, Hydrological Services America). The data were originally collected at …