Replication package for: Exploring Spatial and Biodiversity Data with Python and JupyterLab

Version 1.1
Dworczyk, Claudia; Dunkel, Alexander; Rafiei, Fatemeh; Syrbe, Ralf-Uwe, 2025, "Replication package for: Exploring Spatial and Biodiversity Data with Python and JupyterLab", https://doi.org/10.71830/6ILS40, ioerDATA, V1
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Description
EN This is the archive replication package for the IOER Jupyter-Book NFDI4Biodiversity training materials, available at training.fdz.ioer.info and developed in the git repository gitlab.hrz.tu-chemnitz.de/ioer/fdz/jupyter-book-nfdi4biodiversity. The Jupyter Book is designed to help students, researchers, scientists and enthusiasts get started with data-driven research and good scientific practices for data handling and publication using Python and Jupyter notebooks. In particular, the Jupyter Book focuses on the use case of accessing biodiversity data from the GBIF Application Programming Interface (API) and merging it with spatial environmental data from the IOER Monitor API for spatial analysis and visualisation. This package contains the source code, example data, generated outputs (as of the archival date), and configuration files necessary to reproduce the training materials website and the analyses presented within the notebooks.

DE: Dies ist das Archiv-Replikationspaket für das IÖR Jupyter-Buch NFDI4Biodiversity Schulungsmaterial, das unter training.fdz.ioer.info verfügbar ist und im Git-Repository gitlab.hrz.tu-chemnitz.de/ioer/fdz/jupyter-book-nfdi4biodiversity entwickelt wurde. Das Jupyter-Buch soll Studenten, Forschern, Wissenschaftlern und Enthusiasten den Einstieg in die datengesteuerte Forschung und gute wissenschaftliche Praxis für die Datenverarbeitung und -veröffentlichung mittels Python und Jupyter Notebooks erleichtern. Das Jupyter-Buch konzentriert sich insbesondere auf den Anwendungsfall des Zugriffs auf Biodiversitätsdaten aus der GBIF-Anwendungsprogrammierschnittstelle (API) und deren Zusammenführung mit räumlichen Umweltdaten aus der IÖR-Monitor-API zur räumlichen Analyse und Visualisierung. Dieses Paket enthält den Quellcode, Beispieldaten, generierte Ergebnisse (Stand des Archivierungsdatums) und Konfigurationsdateien, die notwendig sind, um die Website der Schulungsmaterialien und die in den Notebooks dargestellten Analysen zu reproduzieren. (2025-06-05)
Subject Computer and Information Science; Earth and Environmental Sciences
Keyword training material, spatial data science, biodiversity, land use, Python, jupyter
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