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Updated: Jan 16, 2026

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
A dataset dedicated to the training of large- language models for agronomic management practices and production in
Olena Bugaiova1, Kristian Nikolai Jæger Hansen1
1Aarhus University, Department of Agroecology, Section for Systems Analysis and Sustainability, 8830 Tjele, Denmark.
Abstract:
This dataset focuses on the agricultural management practices and production in Norway, derived from the websites Nibio.no, Plantevernleksikonet.no, and nlr.no. All gathered data is in Norwegian. The data is in JSON files (RAW format) and covers topics pertinent to Norwegian agriculture, such as crop rotation, soil health, plant protection and sustainable farming techniques. The data was collected by three Python scripts specially adapted to each website. The cleaned text data is valuable for training or evaluating Natural Language Processing (NLP) Models in an experimental context in Norway or adapting Large-Language Models (LLM) to the domain of Norwegian agriculture within the Norwegian language.
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