Share your research data

This dataset contains reflectance intensity measurements of roasted coffee beans collected using the AS7265X multispectral sensor module. The sensor provides 18 discrete spectral bands across the visible to near-infrared region (410-940 nm), capturing spectral responses that correspond to color development and chemical characteristics of roast coffee. The dataset includes samples representing various roasting levels quantified by Agtron value, allowing for detailed analysis of the relationship between roasting degree (Agtron) and multispectral reflectance characteristics. Each sample entry consists of label (type and origin of Indonesian coffee), Agtron value reference, and the intensity values obtained from the AS7265X sensor for all available wavelength channels. The reflectance intensity values are original sensor outputs, which can be used directly or further calibrated depending on the analytical objectives. This dataset is suitable for applications in coffee quality assessment, machine learning–based prediction of roast degree, spectral feature analysis, and development of real-time roasting monitoring systems. It provides a foundation for exploring non-destructive sensing techniques to classify and quantify coffee roasting characteristics. Key Features: Multispectral reflectance data from 18 wavelength channels in arbitrary unit (a.u.). Multiple roast degrees of Arabica and Robusta coffee beans. Original sensor output values for flexible processing and modeling. Enables development of predictive and classification models for roast degree.

MSCA project PENTEX

Supplementary data to accompany paper

Personal Protective Equipment (PPE) Detection Dataset (5-Class) for Construction Safety Monitoring is an object-detection dataset curated to help developers build real-time systems that verify whether construction workers are wearing essential safety gear. Images were selected to stress practical deployment: diverse viewpoints (elevated cameras, close-ups), common occlusions (hands in pockets, partially hidden hard hats), and environmental variability (shadow, glare, dust). These characteristics encourage generalization and robustness in downstream models—a known gap when training only on clean, staged photos.

Concentrations of major and trace solutes averaged among all sampled drained lakes

Collection of descriptions of Communites of Pratice (stakeholder groups with the aim of learning together) focused on soil health in Europe, collected and filmed through the project PREPSOIL (HORIZON-MISS-2021-SOIL-01-01, Project number 101070045)

Details about our qualitative research performed in my doctoral research. The study conducted 18 semi-structured interviews with project managers, software engineers, designers, and testers to perform deep interpretive analyses aiming to understand their experiences and challenges in software development contracting stage at CESAR, a leading Brazilian Institute of Science and Technology focused on software-driven innovation projects. The dataset includes research questions, guide interview versions, prompts submitted to some AI-assisted tool (chatGPT, Manus, Gemini) in order to make some qualitative analysis activities like refining interview guide, transcription of audio interview, coding identification over transcription, text translation and revision, etc. Due to the sensitive nature of the questions asked in this study, semi-structured interviews respondents were assured raw data would remain confidential and would not be shared.

The dataset includes data on absolute and adjusted carbon emissions (i.e., total, per capita, and per unit of industrial gross value added) from energy and heavy-industry sectors in 238 regions across 27 EU countries over a 13-year period (2008–2020).

This data set was used in this study, which aimed to investigate the effectiveness of VR in improving learning outcomes and interest among prospective office administration teachers (PST-OA). The study was conducted in Indonesia with 62 participants and 2 evaluators. The personal identities of the participants and evaluators have been removed to protect their privacy.

To explain the relationship between fire activity and climate change in the East Asian summer monsoon (EASM) marginal zone, this study presents a microcharcoal record from Lake Tuofengling, providing a 25.0 kyr reconstruction of fire history in Northeast China. Firstly, microcharcoal particles were divided into large grains (50-200 μm) and small grains (10-50 μm) according to the long axes of each grain. Meanwhile, length to width ratio (L:W) of the microcharcoal particles was applied to distinguish sub-long (>2.5:1) from sub-round (<2.5:1) microcharcoals.