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- Creator:
- Sulkowski, Brendan and Collette, Matthew
- Description:
- This data set supports the published four-component integration problem using real-world weather forecasts from the European Centre for Medium-Range Weather Forecast and a simulated linear spring--mass--damper system excited by wave elevation. Each component in the spring--mass--damper system is monitored with techniques of differing accuracies representative of marine-type health uncertainties. Weather forecast uncertainty is included using weather predictions of significant wave height and peak period up to 10 days out. As well as their exact values, different test cases include the spring, mass, and damper being modeled as noisy sensors representative of sensors onboard a vessel, as well as the spring being modeled as a visually-inspected system component reflective of human impact onboard a vessel. Complete details are given in the referenced paper; this data set represents the inputs to the machine learning classifiers discussed.
- Keyword:
- Machine Learning, Inspection, Marine system, and Weather forecast
- Citation to related publication:
- Sulkowski, B and M. Collette. (2025) A comparison of machine learning classifiers in predicting safety for a multi-component dynamic system representation of an autonomous vessel. Applied Ocean Research, 154 (104368), https://doi.org/10.1016/j.apor.2024.104368
- Discipline:
- Engineering
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- Creator:
- Teague, Seth, Yu, Zhiyuan, and Heemskerk, Idse
- Description:
- Images were collected as part of a project investigating the interpretation of BMP signaling dynamics by differentiating human pluripotent stem cells. Image files are in the proprietary Imaris (.ims) file format. MATLAB and Python code for image processing and quantification is provided with the data and at https://github.com/seth414/HeemskerkLabMethods. Processed data originally published in Teague et al., 2024 (see below).
- Keyword:
- cell tracking, human pluripotent stem cells, immunofluorescence, and signaling dynamics
- Citation to related publication:
- Teague, S., Primavera, G., Chen, B. et al. Time-integrated BMP signaling determines fate in a stem cell model for early human development. Nat Commun 15, 1471 (2024). https://doi.org/10.1038/s41467-024-45719-9
- Discipline:
- Health Sciences and Engineering
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- Creator:
- Renno, Nilton O., Mohan, Paul, Musko, Stephen, and Madathil, Rohan
- Description:
- The file named "Raw_Reference+OIDU_Data.xlsx" contains both raw data from the Phenom 300 reference scientific measurements and raw data from measurements by the Icing Detection System (IDS) Optical Icing Detection Unit (OIDU) installed in the Phenom 300. Each tab of the file named "Raw_Reference+OIDU_Data.xlsx" contains data from a specific flight with the flight number in the tab. Each tab contains columns for measurement time (in seconds of the UTC day), 905 nm OIDU signal (in counts), 1525 nm signal (in counts), 1635 nm signal (in counts), flight altitude (in ft), air temperature (in degrees C), liquid water content -LWC (in g/m^3), total water content -TWC (in g/m^3), ice water content -ICW (in g/m^3), and median volume diameter -MVD (in micron)., The file named "Raw_MRU_Data.xlsx" contains raw data from measurements made by the microwave resonator unit (MRU). The various columns contain data from engineering measurements and icing detection measurements. The data scientific relevant are in column A -the time stamp in UNIX time, column B -the time stamp in seconds of the GMT day, column G -the peak resonator frequency (Hz), and column H -the resonance quality factor (non-dimensional)., and The file named "Appendix-C-O_Data_Explained.xlsx" contains processed data from measurements by the Phenom 300 reference scientific measurements and processed data from measurements by the Icing Detection System (IDS) Optical Icing Detection Unit (OIDU) installed in the Phenom 300. As explained in Renno et al. (2025), the raw data was reduced by removing data points reported to contain measurement errors (identified by the NAN code in the data) and in-cloud measurements in which TWC ≤ 0 or MVD ≤ 0 before being analyzed. Each data column is described in the first tab.
- Keyword:
- aircraft icing
- Citation to related publication:
- Renno et al. (2025), A New Type of Aircraft Icing Detection System, Nature Scientific Research.
- Discipline:
- Engineering
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- Creator:
- Esquivel, Amanda and Ajdaroski, Mirel
- Description:
- The ability to accurately measure tibiofemoral angles during various dynamic activities is of clinical interest. The purpose of this study was to determine if inertial measurement units (IMUs) can provide accurate and reliable angle estimates during dynamic actions. A tuned quaternion conversion (TQC) method tuned to dynamics actions was used to calculate Euler angles based on IMU data and these calculated angles were compared to a motion capture system (our “gold” standard) and a commercially available sensor fusion algorithm. Nine healthy athletes were in-strumented with APDM Opal IMUs and asked to perform nine dynamic actions; five participants were used in training the parameters of the TQC method with the remaining four used to test validity.
- Keyword:
- wearable sensors
- Citation to related publication:
- Ajdaroski M, Esquivel A. Can Wearable Sensors Provide Accurate and Reliable 3D Tibiofemoral Angle Estimates during Dynamic Actions? Sensors. 2023; 23(14):6627. https://doi.org/10.3390/s23146627
- Discipline:
- Engineering
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- Creator:
- A. Abeid, Bachir , L. Fabiilli, Mario , Aliabouzar, Mitra, and Estrada, Jon B.
- Description:
- Images of droplet dynamics during and after optical excitation experiments were recorded in the ultra-fast regime at 1 million frames per second (fps) while the low-speed, quasi-static evolution was carried at 1 fps. During both the inertial and quasi-static phases, we record 1–3 frames in the reference configuration prior to the arrival of the laser-pulse to distinguish the bubble from the background. Lastly, due to the complex physics of plasma formation and chemistry, forward simulations begin at the time when the bubble reaches its maximum expansion
- Keyword:
- optical droplet vaporization, cavitation, viscoelasticity, ultra-high-speed imaging, hydrogel, numerical modeling.
- Citation to related publication:
- Abeid, Bachir A, et al. (2024). Experimental and numerical investigations of ultra-high-speed dynamics of optically induced droplet cavitation in soft materials
- Discipline:
- Science and Engineering
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- Creator:
- Wu, Wenbing, Kadar, Alain, Lee, Sang Hyun, Jung, Hong Ju, Park, Bum Chul, Raymond, Jeffery, Tsotsis, Thomas, Cesnik, Carlos, Glotzer, Sharon, Goss, Valerie, and Kotov, Nicholas
- Description:
- The goal of this project is to relate properties of nanowire networks to their structure. The structure of these networks was determined from electron and atomic force microscopy, which were used as the basis for property predictions. Properties include sheet resistance, conductive anisotropy, absorption spectra, and current capacity.
- Keyword:
- structural complexity, nanowires, graph theory (GT), complex particle systems, complex composites, correlated disorder
- Citation to related publication:
- Preprint: https://arxiv.org/pdf/2310.15369
- Discipline:
- Engineering
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- Creator:
- El Shair, Zaid A., Abu-raddaha, Abdalmalek , Cofield, Aaron, Alawneh, Hisham, Aladem, Mohamed, Hamzeh, Yazan, and Rawashdeh, Samir A.
- Description:
- The SID dataset was curated to support advanced research in autonomous driving systems, particularly focusing on perception under adverse weather and lighting conditions. This dataset encompasses over 178k high-resolution stereo image pairs organized into 27 sequences, reflecting a rich variety of conditions such as snow, rain, fog, and low light. It covers dynamic changes in driving scenarios and environmental backgrounds, including university campuses, residential streets, and urban settings. The dataset is designed to challenge perception algorithms with scenarios such as partially obscured camera lenses and varying visibility, promoting the development of robust computer vision models. No specialized software or scripts are necessary for accessing the image data, as the files are provided in standard PNG format. However, researchers and developers may require their image processing and computer vision toolkits to utilize the dataset effectively in their work.
- Keyword:
- Autonomous Driving, Adverse Weather, Stereo Vision, Image Dataset, Computer Vision, and Perception Algorithms
- Citation to related publication:
- El-Shair, Z.A., Abu-raddaha, A., Cofield, A., Alawneh, H., Aladem, M., Hamzeh, Y. and Rawashdeh, S.A., 2024, July. SID: Stereo Image Dataset for Autonomous Driving in Adverse Conditions. In NAECON 2024-IEEE National Aerospace and Electronics Conference (pp. 403-408). IEEE.
- Discipline:
- Engineering
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- Creator:
- Aluko, Olanrewaju
- Description:
- This investigation utilizes a new and more accurate multiscale analysis that combines molecular dynamics and polycrystalline theory with micromechanics to capture the influence of the amorphous boron nitride interphase thickness on the mechanical properties of the SiC/SiC composites.
- Keyword:
- Multiscale; Reinforce; Micromechanics; Interphase
- Citation to related publication:
- O. Aluko .The Impact of the Interphase thickness on the Elastic Properties of Unidirectional SiC/SiC Composites. Forthcoming.
- Discipline:
- Engineering
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- Creator:
- Tandon, Suyash, Johnsen, Eric, and Maki, Kevin
- Description:
- Passive flow control devices, such as vortex generators (VGs), can effectively modulate the turbulent boundary layer flow near regions of adverse pressure gradients, but the interactions between the salient flow structures produced by VGs and those of the separated flow are not fully understood. In this study, a spatially evolving turbulent boundary layer interacting with a wall-mounted cube ahead of a backward-facing ramp is investigated using wall-resolved large-eddy simulations for a Reynolds number of 19,600, based on the inlet boundary layer thickness and freestream velocity. Different cube configurations are examined to isolate the effects of cube height and streamwise position.
- Keyword:
- fluid mechanics, boundary layer , turbulence, separated flows, and large eddy simulation
- Citation to related publication:
- Suyash Tandon, Kevin J. Maki, and Eric Johnsen, "Large-Eddy Simulations of Flow over a Backward-Facing Ramp with a Wall-Mounted Cube, " AIAAJ, Vol. 62, No. 9 (2024), pp. 3403-3417 doi: doi/abs/10.2514/1.J063803
- Discipline:
- Engineering and Science
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- Creator:
- Towne, Aaron S. and Lozano-Durán, Adrián
- Description:
- This dataset contains data from two direct numerical simulations of a turbulent zero-pressure-gradient flat-plate boundary layer spanning friction Reynolds numbers from 292 to 728 (BL1) and 488 to 1024 (BL2). The dataset contains time-resolved snapshots of the three-dimensional velocity field for both cases: roughly 10,000 snapshots spanning 20 eddy-turnover times for BL1 and 7,500 snapshots spanning 7 eddy-turnover times for BL2 . Also included for both cases are pre-processed correlations at several wall-normal distances, mean and root-mean-squared velocity and vorticity profiles, several boundary-layer metrics, and time-resolved velocity data in the streamwise-wall-normal plane. All data are stored within hdf5 files, and a Matlab script showing how the data can be read and manipulated is provided. Please see the ‘BLdns_README.pdf’ file for more information. We recommend using the ‘BLdns_example.zip’ file as an entry point to the dataset. and The dataset is part of “A database for reduced-complexity modeling of fluid flows” (see references below) and is intended to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics. The paper introduces the flow setup and computational methods, describes the available data, and provides an example of how these data can be used for reduced-complexity modeling. Users of these data should cite the paper listed below.
- Keyword:
- fluid mechanics, boundary layer, and turbulence
- Citation to related publication:
- Towne, A., Dawson, S., Brès, G. A., Lozano-Durán, A., Saxton-Fox, T., Parthasarthy, A., Biler, H., Jones, A. R., Yeh, C.-A., Patel, H., Taira, K. (2022). A database for reduced-complexity modeling of fluid flows. AIAA Journal 61(7): 2867-2892.
- Discipline:
- Engineering and Science