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@research-software-directory.org

TulipaIO.jl

This package relies on DuckDB to tie a variety of data sources with Julia, and TulipaEnergyModel (TEM). It also enables a bidirectional capability to manipulate datasets from Julia and back to DuckDB.

  • (EdgeQL)
  • (Julia)
4
0
Logo for TUSTEP
@Text+ Editions Software

TUSTEP

TUSTEP (Tubingen System of Text Processing Tools) is a free, open source, widely-used toolbox for text processing. It is aimed at scholarly audiences, can work with texts in both latin and non-latin scripts, and is primarily designed for humanities applications.

  • annotation
  • Critical Edition
  • open source
  • + 2
  • Rich Text Format
  • HTML
  • CSS
  • + 1
2
0
@research-software-directory.org

Tweet_collector

This project is aimed to help researchers to use Academic Research product track to collect tweets of their interest and analyze them.

  • collect tweet
  • python
  • search tweet
  • + 1
  • (Python)
1
0
Logo for Typed PID Maker
@helmholtz.software

Typed PID Maker

The Typed PID Maker enables the creation, maintenance, and validation of PIDs. It ensures the PID contains typed, machine-actionable information using validation. This is especially helpful in the context of FAIR Digital Objects (FAIR DOs / FDOs).

  • data managment
  • FAIR Data
  • FAIR Software
  • + 2
  • Java
  • Shell
3
0
@research-software-directory.org

UFEMISM2.0

The successor of UFEMISM, has all of its features (and more?), but is based on the distributed architecture introduced in minimism.

  • Finite volume method
  • ice sheet
  • MPI
  • + 1
  • (CMake)
  • (Fortran)
  • (HTML)
  • + 5
4
0
@helmholtz.software

ukis-csmask

UKIS Cloud Shadow MASK (ukis-csmask) package masks clouds and cloud shadows in Sentinel-2, Landsat-9, Landsat-8, Landsat-7 and Landsat-5 images. Masking is performed with a pre-trained convolution neural network. It is fast and works directly on Level-1C data (no atmospheric correction required).

  • Earth & Environment
  • Image processing
  • python
  • + 1
  • Python
1
0
Logo for UNICORE
@helmholtz.software

UNICORE

UNICORE (UNiform Interface to COmputing REsources) provides tools and services for building federated systems, making high-performance computing and data resources accessible in a seamless and secure way for a wide variety of applications in intranets and the internet.

  • High performance computing
  • Information
  • Supercomputing
  • + 1
    9
    0
    Logo for Unraphael
    @research-software-directory.org

    Unraphael

    Unraphael is a computer vision tool for art history, designed to support the analysis of figure-outline similarities in images to study Renaissance copying practices. Its user-friendly interface lets researchers inspect structural patterns, revealing insights into artistic techniques.

    • computational art analysis
    • computer vision
    • Image preprocessing
    • + 3
    • (CSS)
    • (Dockerfile)
    • (Python)
    3
    0
    @research-software-directory.org

    UnrollingAverages.jl

    A Julia package to deconvolve simple moving averages of time series.

    • Data Analysis
    • Data Science
    • Deconvolution
    • + 6
    • (Julia)
    2
    0
    Logo for UNSAT3D
    @research-software-directory.org

    UNSAT3D

    Soil health is essential for infrastructure and plant growth. The UNSAT project aims to improve 3D soil image processing using machine learning and high-fidelity simulation data to study water transport and root-soil interactions during maize growth.

    • Data Analysis
    • Machine learning
    • (Python)
    • (Shell)
    3
    0
    @research-software-directory.org

    User-Defined Oceanographic Data Products

    Allows researchers to access Oceans2.0 data products programmatically and also enable researchers to define, test, use and share processing code for user-defined data products in a custom-designed programming environment.

    • oceanography
    • Oceans
      1
      0
      @helmholtz.software

      UTILE-Oxy

      Automated workflow using deep learning for the analysis of videos containing oxygen bubbles in PEM electrolyzers: 1. preparing annotated dataset and training models to conduct semantic seg- mentation of bubbles and 2. automating the extraction of bubble properties for further distribution analysis.

      • bubbles
      • Data analysis
      • Data Visualization
      • + 7
      • Python
      • Jupyter Notebook
      6
      0