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13-23 of 23

CBRAIN

CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

CBRAIN
cluster
Data Analysis
+ 6

Ruby
HTML
JavaScript
+ 3

CRiSp

CRiSp (City River Spaces) provides tools to automate the morphological delineation of riverside urban areas.

Data Analysis
geospatial
R
+ 1

EXCITED Machine Learning Workflow

An open workflow for creating machine learning models for estimating the global biospheric CO2 exchange.

CO2
Data Analysis
geospatial
+ 4

Jupyter Notebook
Python

FAIRSECO

FAIRSECO provides a way to quickly analyse a variety of data and metrics of your software, and it allows you to explore the impact of your software on the academic world. Metadata is gathered from many different sources, which is then analysed and compiled into a clear overview.

Data Analysis
FAIR
Inter-operability & linked data
+ 2

TypeScript
EJS
JavaScript

fieldcompare

A Python package for regression testing simulation results. Compare field data supporting various structured formats such as CSV and VTK file formats, through Python API or the command-line interface.

Data Analysis
Numerical analysis
python
+ 1

Python

ICOS CP python library

This package, available at pip as icoscp, allows you to have direct access to data objects from the ICOS Carbon Portal where a "Preview" is available. It provides easy access to data objects hosted at the ICOS Carbon Portal. By using this library you can load data files directly into memory.

Big data
Data Analysis
python
+ 2

Python
Just

mibiscreen

Data handling and screening package of the Microbiome based remediation Prediction Tool

Data Analysis
Multi-scale & multi model simulations
python

Python
Jupyter Notebook
Shell

PanTools-pipeline-v4

General purpose Snakemake pipeline for PanTools v4.

Data Analysis
genomics
pangenomics

Python
Dockerfile
Shell

quafing

Questionnaire analysis using Fisher Information Non-Parametric Embedding. Explore high-dimensional continuous and discrete questionnaire data sets.

Data Analysis
python
Statistics

Python
Jupyter Notebook
Shell

UnrollingAverages.jl

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

Data Analysis
Data Science
Deconvolution
+ 6

Julia

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