GravIS
GravIS visualizes and describes Level-3 products based on the most recent GRACE and GRACE-FO data release from GFZ and the Combination Service for Time-Variable Gravity Fields (COST-G) of the International Gravity Field Service (IGFS).
- Data Visualization
- Earth & Environment
MemRBC
MemRBC is an R package for spectral modeling of red blood cell shapes in R. It is the result of open science research, demonstrating the idea of hi-level apps with metadata creation in a lightweight obejct oriented approach.
- cell shape
- Helfrich
- R
- + 5
- R
- JavaScript
- C++
- + 1
MSS - Mission Support System
For discussion of the possibilites of research flights, the Mission Support System (MSS) was developed. This software helps to review a big amount of metereological and model data by viewing the forecasted parameters of interest along possible regions of a proposed flight path.
- Data Visualization
- Earth & Environment
- Flight Planning
- + 2
- Python
- HTML
- Shell
- + 1
O2A SEQUENCES
O2A SEQUENCES provides a single platform for the full metabarcoding lifecycle: it keeps samples, metadata, and sequences linked, runs containerized workflows that produce provenance-tracked ASV tables, generates submission-ready exports for public archives, and delivers AI-ready outputs.
- bioinformatics
- Data analysis
- data managment
- + 7
ODV
Ocean Data View (ODV) - Interactive exploration, analysis and visualization of oceanographic and other environmental data.
- Data analysis
- Data Visualization
- Earth & Environment
- + 1
OSADCP Toolbox
Open-source Python toolbox called OSADCP for scientists to convert, clean, calibrate and organize binary raw vessel-mounted Acoustic Doppler Current Profiler (ADCP) data for scientific use. The toolbox is designed to process ADCP measurements in deep water by Teledyne RDI Ocean Surveyor ADCPs.
- Data Visualization
- Earth & Environment
- FAIR Data
- + 5
- Python
otter
The otter Framework combines community network analysis using Co-Occurrence networks, Louvain Clustering and Convergent Cross Mapping networks. Funding through the Helmholtz DataHub Initiative; project iLOVE.
- Community Dynamics
- Earth & Environment
- python
- Python
PDAF
PDAF - the Parallel Data Assimilation Framework is one of the most widely used a software frameworks for data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.
- Atmospheric science
- data assimilation
- Earth & Environment
- + 9
- Fortran
- Makefile
- Python
- + 3
pycmor
A Python package that simplifies the conversion of climate model output into CMOR-compliant formats, supporting CMIP6 and CMIP7 standards. Provides a modular, plugin-based pipeline for processing NetCDF data from diverse Earth system models.
- CF-conventions
- climate model output
- CMIP6
- + 7
- Python
pyPDAF
pyPDAF provides the functionality to use the Parallel Data Assimilation Framework (PDAF) fully in Python. One can use all functionality of PDAF while implementing the case-specific code for the chosen data assimilation application in Python.
- Atmospheric science
- Bayesian inference
- data assimilation
- + 8
- Cython
- Python
- Fortran
- + 4
UltraMassExplorer (UME)
Natural organic matter is the most complex chemical mixture on our planet. UME is an open access, browser-based tool that allows efficient, interactive, transparent, and reproducible exploration and evaluation of ultrahigh resolution mass spectra of complex organic matter.
- analytical chemistry
- Carbon cycle
- Data analysis
- + 7
- R
- BibTeX
- CSS