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calibration-multi-spectral-par-sensor

Supplementary material to the publication.

https://github.com/hka-ies/calibration-multi-spectral-par-sensor

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 8 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Supplementary material to the publication.

Basic Info
  • Host: GitHub
  • Owner: HKA-IES
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 3.27 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 4
Created 11 months ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

ReadMe.md

Calibration of Multi-Spectral Sensor

DOI

Overview

This repository contains the code, data, and results for the publication:
"Calibration of Multi-Spectral Photosynthetically Active Radiation Sensor"
Authors: Johannes Klueppel, Megan Jurzcak, Ulrike Wallrabe, Laura Maria Comella
Published in: Journal Name (Year)
DOI to Publication

Project Description

Add abstract when published.

Repository Structure

├── data/ # Raw and processed data sets
├── src/ # Source code for analysis
├── supplementary_material/ # Additional documentation of the AS7341 characteristic
├── LICENSE # License for project
└── README.md # Project overview

Installation

To reproduce the analysis, clone this repository and install the required dependencies:

bash git clone https://github.com/yourusername/Multi-Spectral-PAR-Sensor.git cd PATH/your-repo-name/src pip install -r requirements.txt Consider to use an own environment.

Usage

  1. Prepare the Data:

    • Use the raw measurement data in the /data directory or place there your input data files. Ensure the data format matches the requirements of the library.

  2. Run the Notebook:

    • Open Calibration_Execution.ipynb in Jupyter Notebook or Visual Studio Code.
    • Follow the steps in the notebook to load the data, apply the calibration functions from Calibration.py, and view the results.

  3. Output:

    • The results of the calibration will be displayed in the notebook and saved to an output file in the /data directory.

Results

Check our publication on: ...

Citation of Publication

Add when published.

If you use this project, please cite our publication:

@article{YourName2024, title={Title of Your Scientific Publication}, author={Your Name and Co-author Names}, journal={Journal Name}, year={2024}, doi={10.xxxx/xxxx} }

Zenodo

DOI

Acknowledgments

This work was conducted in the framework of the collaborative research centre ECOSENSE with funding from the German Research Foundation SFB 1537/1 ECOSENSE.
Further information: ECOSENSE website
DOI to ECOSENSE Grand Proposal

Owner

  • Name: Karlsruhe University of Applied Sciences - Intelligent Embedded Systems
  • Login: HKA-IES
  • Kind: organization
  • Location: Germany

Repositories managed by the group of Prof. Dr.-Ing. Laura Comella, Professor for Intelligent Embedded Systems at the Karlsruhe University of Applied Sciences.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Klueppel"
  given-names: "Johannes"
  orcid: "https://orcid.org/0000-0002-6370-9522"
- family-names: "Jurzcak"
  given-names: "Megan"
- family-names: "Comella"
  given-names: "Laura"
  orcid: "https://orcid.org/0000-0001-8283-1454"
title: "HKA-IES/Calibration-Multi-Spectral-PAR-Sensor: Zenodo release"
version: v1.1.1
doi: 10.5281/zenodo.15224597
date-released: 2025-04-15
url: "https://github.com/HKA-IES/Calibration-Multi-Spectral-PAR-Sensor"

GitHub Events

Total
  • Release event: 3
  • Public event: 1
  • Push event: 13
  • Create event: 3
Last Year
  • Release event: 3
  • Public event: 1
  • Push event: 13
  • Create event: 3