Here you may find a selection of LARES datasets, shared for public use. The collection includes data utilized in previous, current and upcoming projects as well as published research papers for improved reproducability of the obtained results.
If you find the published data useful for your work and research we would appreciate for you to reference our relevant published paper or laboratory.
| Paper | Dataset | Download |
| S. Skendžić, H. Novak, M. Zovko, I. Pajač Živković, V. Lešić, M. Maričević, D. Lemić, "Hyperspectral Sensing and Machine Learning for Early Detection of Cereal Leaf Beetle Damage in Wheat: Insights for Precision Pest Management" in Agriculture, vol. 15, n. 23; pp. 2482-2510., Dec. 2025. doi: 10.3390/agriculture15232482 Dataset DOI: 10.5281/zenodo.17507507 |
Hyperspectral reflectance measurements (350–2500 nm) of winter wheat (Triticum aestivum L., cv. Bc Anica) flag leaves affected by varying levels of damage caused by the cereal leaf beetle (Oulema melanopus L., Coleoptera: Chrysomelidae). The data were collected at the experimental fields of the Bc Institute for Breeding and Production of Field Crops in Zagreb, Croatia (45°44'49.1"N, 15°56'13.4"E) during the 2021/2022 growing season. | |
| H. I. Shaheen, B. Yang, Y. Zuo, M. Vašak, and V. Lešić, "Model Predictive Control for Adaptive Energy-Efficient Street Lighting: A Comprehensive Framework and Case Study", (under review 2025) | Historical weather, pedestrians, traffic and street lighting dimming profiles for 1 year period period between 1-Apr-2021 and 31-Mar-2022, with 900 seconds (15 min) resolution and for J. J. Strossmayer street in City of Sisak. |
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| S. Skendžić, H. Novak, M. Zovko,I. Pajač Živković, V. Lešić, M. Maričević and D. Lemić, "Hyperspectral Canopy Reflectance and Machine Learning for Threshold-Based Classification of Aphid-Infested Winter Wheat," in Remote Sensing, vol. 1, no. 5, article num. 929, Mar. 2025. doi: 10.3390/rs17050929 Dataset DOI: 10.5281/zenodo.14968259 |
Full raw spectral reflectance data collected at the canopy level of winter wheat (Triticum aestivum L., variety: Bc Opsesija) to assess aphid infestation levels and support machine learning classification models. The data were collected from experimental winter wheat fields (45°44′50.0″N, 15°56′18.8″E) during the 2022 growing season. |
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| H. Novak, F. Bronić, A. Kolak and V. Lešić, "Data-Driven Modeling of Urban Traffic Travel Times for Short-and Long-Term Forecasting," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 10, pp. 11198-11209, Oct. 2023, doi: 10.1109/TITS.2023.3287980. |
Historical travel times and average traveling speeds for 4 separate arterial traffic routes within Zagreb, Croatia. Data is collected for 1 year with a time resolution of 15 minutes. |
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