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  1. Item

    Cars Overhead with Context (COWC)

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Konjevod, Goran; Lawrence Livermore National Laboratory (LLNL); Boakye, Kofi; Sakla, Wesam A.; Mundhenk, T. Nathan
    • Date: July 2015
    • Topic: Detection; Automobile Classification; Cars Overhead with Context (COWC); Counting; Cars; Convolutional Neural Networks (CNN); Context; Deep learning
  2. Item

    High Performance Computing Application I/O Traces

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Snir, Marc; Wang, Chen; Mohror, Kathryn
    • Date: 2020-07
    • Topic: I/O performance; High performance computing (HPC) I/O library performance; High Performance Computing (HPC) application I/O
    • Format: data
  3. Item

    Hurricane Dataset for Deep-Hurricane-Tracker model

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Kim, Sookyung
    • Date: 2018-09
    • Topic: Climate change; Neural networks; Scientific machine learning; Artificial intelligence (AI); Climate AI; Climate science
    • Format: image; data; text
  4. Item

    LLNL 3D Protein-Ligand Dataset for Anti-viral Screening against SARS-CoV-2

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Jones, Derek; Lightstone, Felice; Zhang, Xiaohua; Kirshner, Dan; Kim, Hyojin; Allen, Jonathan
    • Date: 2020-04
    • Topic: Virtual drug screening; 3D protein-ligand complex; Covid19 antiviral screening; Deep learning; Machine learning
    • Format: text; data
  5. Item

    LLNL D4DCT Datasets: Dynamic 4DCT Datasets using MPM-based Deformation

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Mohan, Aditya; Champley, Kyle; Kang, Jingu; Kim, Hyojin; Anirudh, Rushil
    • Date: 2020-05-10 to 2020-10-30
    • Topic: Computed tomography; Material point method (MPM); Dynamic computed tomography (DCT); Material deformation; Additive manufacturing; Reconstruction; Machine learning; Deformation; Dynamic 4D CT; Affine transformation
    • Format: data; text
  6. Item

    The JAG inertial confinement fusion simulation dataset for multi-modal scientific deep learning

    • Part of: Lawrence Livermore National Laboratory (LLNL) Open Data Initiative
    • Name: Van Essen, Brian; Gaffney, Jim A.; Springer, Paul T.; Thiagarajan, Jayaraman J.; Spears, Brian K.; Robinson, Peter; Yeom, Jae-Seung; Peterson, J. Luc; Hysom, David; Hammer, Jim; Anirudh, Rushil; Bremer, Peer-Timo; Jacobs, Sam A.; Lawrence Livermore National Laboratory (LLNL)
    • Date: July 2018
    • Topic: Neural networks; Robust; Scientific machine learning; Surrogate modeling