A dataset dedicated to the training of large- language models for agronomic management practices and production in Norwegian agricultureGithubKaggle by Olena Bugaiova, Kristian Nikolai Jæger Hansen

“…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. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…We also show through analysis of publicly available fluid milk microbial data that our artificial intelligence approach is able to successfully predict milk in different stages of processing. …”
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An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS by Julien Perret, Mark W. Jessell, Eliott Bétend

“…A fact map, created from field data collected across the Archean Sula-Kangari greenstone belt in Sierra Leone, demonstrates the solution's advantages in terms of post-field processing and raw field data sharing.…”
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MQTTEEB-D: A Real-World IoT Cybersecurity Dataset for AI-Powered Threat Detection in MQTT NetworksMendeley Data by Abderrahmane Aqachtoul, Khaoula Karam, Abderrahmane Elamrani, Mehdi Najib, Najat Rafalia, Mohamed Bakhouya

“…Several processed forms of data (e.g., raw, cleaned, normalized, standardized), along with detailed metadata are also provided for being used, for instance, to develop and validate AI-driven intrusion detection models.…”
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Scifer: An R/Bioconductor package for large-scale integration of Sanger sequencing and flow cytometry data of index-sorted single cells by Rodrigo Arcoverde Cerveira, Klara Lenart, Marcel Martin, Matthew James Hinchcliff, Fredrika Hellgren, Kewei Ye, Juliana Assis Geraldo, Taras Kreslavsky, Sebastian Ols, Karin Loré

“…Scifer preprocesses raw data from index sorts and immune receptor Sanger sequencing. …”
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Real‐world evidence in the cloud: Tutorial on developing an end‐to‐end data and analytics pipeline using Amazon Web Services resources by Wes Anderson, Roopal Bhatnagar, Keith Scollick, Marco Schito, Ramona Walls, Jagdeep T. Podichetty

“…Abstract In the rapidly evolving landscape of healthcare and drug development, the ability to efficiently collect, process, and analyze large volumes of real‐world data (RWD) is critical for advancing drug development. …”
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99 Investigating BMI-driven variations in cancer immunotherapy treatment effect: An individual patient data meta-analysis (2013–2023) by Pratik Reddy

“…Methods/Study Population: An individual patient meta-analysis will be conducted by reanalyzing raw data of phase 3 cancer immunotherapy trials (2013–2023) accessed via the database Vivli. …”
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An evaluation of calibrated and uncalibrated high-resolution RGB data in time series analysis for coal spoil characterisation: A comparative study by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F. Glenn, Simit Raval

“…This study explores using unmanned aerial vehicles (UAV) equipped with red–green–blue (RGB) sensors for efficient data acquisition. Despite their prevalence, raw UAV data exhibit temporal inconsistency, hindering accurate assessments of changes over time which could be attributed to radiometric errors. …”
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A Multi-Scale Self-Supervision Approach for Bearing Anomaly Detection Using Sensor Data Under Multiple Operating Conditions by Zhuoheng Dai, Lei Jiang, Feifan Li, Yingna Chen

“…This study proposes a bearing early anomaly detection method based on contrastive learning and reconstruction approaches to address the aforementioned issues. The raw time-domain vibration data, which were collected from sensors mounted on the bearings of the machinery, are first preprocessed using the Ricker wavelet transform to effectively remove noise and extract useful signal components. …”
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Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory by Sathishkumar Sekar, Zhang Wei

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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques to enhance the process of prioritising patients.Design Developing a prediction model.Setting and participants Our data were retrieved from the United Network for Organ Sharing (UNOS) open-source database of transplant patients between 2005 and 2023.Interventions After the preprocessing process, a feature engineering technique was employed to select the most relevant features. …”
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Ecosystem services mapping and modelling. Where is the validation? by Paulo Pereira, Miguel Inacio, Damia Barcelo, Wenwu Zhao

“…Conducting this using field or proximal/remote sensing raw data and not data from other models or stakeholder evaluation is important. …”
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Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization by Yifan Shi, Haixin Zeng, Xinrong Gong, Lei Cai, Wenjie Xiang, Qi Lin, Huijie Zheng, Jianqing Zhu

“…In real-world scenarios, raw multi-source data are generally unlabeled and inherently contain multi-view noise and feature redundancy, leading to extensive research on unsupervised multi-view feature selection. …”
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Global sorghum production dataset for temperate to subtropical regions at subnational scale over 2000–2020Zendo by Mohsen Davoudkhani, Nicolas Guilpart, David Makowski, Nicolas Viovy, Philippe Ciais, Ronny Lauerwald

“…The dataset is structured by country and includes raw and processed files, along with geospatial boundaries of administrative units. …”
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The sensitivity of aerosol data assimilation to vertical profiles: case study of dust storm assimilation with LOTOS-EUROS v2.2 by M. Pang, M. Pang, J. Jin, T. Yang, X. Chen, A. Segers, B. Buyantogtokh, Y. Gu, J. Li, H. X. Lin, H. X. Lin, H. Liao, W. Han

“…We assimilate a variety of dust observations, encompassing ground-based particulate matter (<span class="inline-formula">PM₁₀</span>) measurements, and satellite-derived dust optical depth (DOD) data, using the ensemble Kalman filter (EnKF). The assimilation process is elucidated, detailing the assimilation of raw ground-based and satellite-based observations for an optimized three-dimensional (3D) posterior state. …”
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Effective synthesis and application of artichoke and orange peels-based bio-sorbents for Ketoprofen removal from wastewater: Process optimization using Factorial methodology by Amel Khalfaoui, Abderrezzaq Benalia, Zakaria Laggoun, Raouf Bouchareb, Imane Zaamta, Rania Melloul, Amina Menasria, Slimane Merouani, Antonio Pizzi, Kerroum Derbal

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DETERMINATION OF COFFEE FRUIT MATURITY LEVEL USING IMAGE HISTOGRAM AND K-NEAREST NEIGHBOR by Irene Devi Damayanti, Aryo Michael

“…Twenty images total—ten of which are of ripe coffee fruit and ten of which are of raw coffee fruit—were used in this study. The test results were carried out using rapidminer tools using 40% training data and 60% testing data from the total data set. …”
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Changes and Perspectives in Food Studies by Elisabeth Dumoulin

“…The international availability of raw materials, the diversity of cultures, tastes and habits must be taken into account in the controlled food processes. …”
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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

“…Deep neural networks (DNNs) were trained on 1,473 validated simulation data points with 30 input features covering raw materials, operating conditions, and membrane specifications. …”
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The Effect of Filtering on Signal Features of Equine sEMG Collected During Overground Locomotion in Basic Gaits by Małgorzata Domino, Marta Borowska, Elżbieta Stefanik, Natalia Domańska-Kruppa, Michał Skibniewski, Bernard Turek

“…In equine surface electromyography (sEMG), challenges related to the reliability and interpretability of data arise, among other factors, from methodological differences, including signal processing and analysis. …”
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