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Bicocca Open Archive Research Data

University of Milano-Bicocca Showcase

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Find research data from University of Milano-Bicocca

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1970 2024
8656 results
  • Data for: "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area, beyond VWFA"
    This study investigates the neural mechanisms underlying word reading in professional musicians compared to musically naïve individuals (control group), focusing on the N170 component of ERPs dedicated to orthographic processing. The application of standardized weighted low-resolution electromagnetic tomography (swLORETA) to individual data contributes to the innovative nature of this project. The results showed that musicians showed a bilateral activation of the Visual Word Form Area (VWFA, BA37) in contrast to controls who showed a clearly left lateralized activation of the middle occipital gyrus (MOG, BA19). Musicians also showed enhanced reading skills compared to controls. It is thought that musicians develop this extra reading region to read the spatial and holistic aspects of musical notation. ERPs were recorded in 80 participants (men and women, musicians and non-musicians). The study involved the visual presentation of 300 Italian words of different length and complexity, presented randomly on a computer screen, as described in detail in the study by Proverbio et al. (2013). The words, written in upper case, ranged from 4 to 10 letters. A recognition task was performed in which participants had to press a key when they saw a specific target letter within a word, depending on the experimental condition, while ignoring non-target letters. Words lasted 1,600 ms, and the interstimulus interval (ISI) was randomly varied between 1,000 and 1,200 ms. ERPs were averaged from -100 to 1200 ms. The N170 component was quantified between 150-190 ms. swLORETA was applied to N170 responses during word reading in both groups. The full list of dipoles and neuroimaging data is presented here. The data are a compendium to the paper "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area" and include raw data collected from 2013 to 2023 at the Cognitive Lab ERP of UNIMIB for the "Neuroscience of Music" project. Related papers: Pantaleo MM, Arcuri G, Manfredi M, Proverbio AM. Music literacy improves reading skills via bilateral orthographic development. Sci Rep. 2024 Feb 12;14(1):3506. Proverbio AM, Manfredi M, Zani A, Adorni R. Musical expertise affects neural bases of letter recognition. Neuropsychologia. 2013 Feb;51(3):538-49.
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  • Mapping the Emotional Homunculus with fMRI
    Emotions are commonly associated with bodily sensations, e.g., boiling with anger when overwhelmed with rage. Studies have shown that emotions are related to specific body parts, suggesting that somatotopically organized cortical regions that commonly respond to somatosensory and motor experiences might be involved in the generation of emotions. We used functional magnetic resonance imaging to investigate whether the subjective feelings of emotion are accompanied by the activation of somatotopically defined sensorimotor brain regions, thus aiming to reconstruct an “emotional homunculus”. By defining the convergence of the brain activation patterns evoked by self-generated emotions during scanning onto a sensorimotor map created on participants’ tactile and motor brain activity, we showed that all the evoked emotions activated parts of this sensorimotor map, yet with considerable overlap among different emotions. Although we could not find a highly specific segmentation of discrete emotions over sensorimotor regions, our results support an embodied experience of emotions. Here, you will find the original code to digitise emBODY pen and paper silhouettes.
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  • A customizable digital holographic microscope
    We propose a low-cost, compact, and portable holographic microscope designed for the characterization of micrometric particles suspended in a liquid. This system is built around a commercial optical microscope by substituting its illumination source (a light-emitting diode) with a collimated laser beam. Similarly, a quartz flow cell replaces the microscope glass slide using 3D-printed custom mounting. With the hardware presented in this paper, the holographic imaging of the electromagnetic fields emitted by the objects that intercept the laser beam achieves a resolution close to that achieved with optical microscopes, but with a much larger depth of field. Once a hologram is recorded, a variety of morphological and optical features, including particle projected section, aspect ratio, and extinction cross-section can be extracted. Additionally, we introduce a remote system control that enables users to process the acquired holograms to a remote computational device. This work encompasses a comprehensive description of the methodology of the image processing in holographic microscopy, and a series of validation measurements conducted using calibrated particles. This technique is suitable for the characterization of airborne particles found in snow, firn and ice; here we report experimental results obtained from Alpine ice cores. We include the 3d printer design files, the Holography tutorial in jupyter, and the files to control remotely the camera, the Pycamera project in python
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  • DropenVideo_V01
    DropenVideo Date: April 22, 2024 Author: Raziyeh Akbari, Alternative contact: Carlo Antonini, DropenVideo, developed in MATLAB, as an extension of Dropen, is a fully automatic frame-by-frame video analysis code for the advancing and receding contact angle determination in quasi-static wetting experiments. DropenVideo provides comprehensive data, including contact position, diameter and angles, and related curves. This software is developed in SEFILAB at the Department of Materials Science, University of Milano-Bicocca (UNIMIB), and is available at the UNIMIB repository (10.17632/wzchzbm58p). This repository will be updated with the new modified versions of the software. If you use this software in your research, please cite the following journal article: R. Akbari, C. Antonini, Contact angle measurements: From existing methods to an open-source tool, Advances in Colloid and Interface Science 294 (2021) 102470.
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  • Data for: Transient social-ecological dynamics reveal signals of decoupling in a highly disturbed Anthropocene landscape
    This dataset shows original data investigated in our study of social-ecological system dynamics in Lake Taihu watershed, China. Further information can be found at: Lin, Q., Zhang, K., Giguet-Cove, C., Arnaud, F., McGowan, S., Gielly, L., Capo, E., Huang, S., Ficetola, G.F., Shen, J., Dearing, J.A., Meadows, M.E., 2024. Transient social-ecological dynamics reveal signals of decoupling in a highly disturbed Anthropocene landscape. Proceedings of the National Academy of Sciences of the United States of America,
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  • Low-temperature Thermochronology data from Patagonia
    This is the apatite and zircon (U-Th)/He dataset from the Fitz Roy and Torres del Paine massifs in Southern Patagonia that supports the study in revision: “Geodynamic and climatic forcing on late-Cenozoic exhumation of the Southern Patagonian Andes (Fitz Roy and Torres del Paine massifs)” by Muller, V.A.P. et al., 2023 (preprint DOI: 10.22541/essoar.168332179.93378898/v1). Apatite (U-Th/He) thermochronometry was performed following standard procedures (House et al., 2000) at the ARHDL of University of Arizona (USA) for plutonic samples of Torres del Paine, and at the Berkeley Geochronology Center (USA) for metasedimentary samples of Torres del Paine. Apatite (U-Th/He) thermochronometry of Fitz Roy plutonic samples was performed in the GEOPS Laboratory at the Paris-Saclay University (Orsay, France), following the methods of Gautheron et al., (2021). Zircon (U-Th/He) thermochronometry of Fitz Roy plutonic samples was performed in the UTHHE Laboratory of Dalhousie University (Halifax, Canada) following the methods of Reiners et al. (2004, 2005).
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  • Benchmarking digital displays (monitors) for histological diagnoses: the Nephropathology use case
    Granular data from the assessment of non-inferiority of different monitors/scanners combination for the evaluation of whole slide images (WSI) for the primary diagnosis of renal diseases on histology following the College of American Pathologists (CAP) guidelines.
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  • Improving the annotation process in computational pathology: from manual to semi-automatic approaches in digital nephropathology
    The development of reliable artificial intelligence (AI) algorithms in pathology depends on solid ground truth provided by meticulous annotation of whole slide images (WSI), a time-consuming and operator-dependent process. A benchmark of the available annotation tools is performed to standardize and streamline this process.
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  • Combined characterization of a plasma jet: FTIR, chemical surveys and antibacterial effect
    Dataset related to the paper "Combined characterization of a plasma jet: FTIR, chemical surveys and antibacterial effect", submitted for publication on J. Phys. D: Appl. Phys.
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  • ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels
    We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to October 2023 (release V3, January 2024). Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app (freely available at the webpage was developed for data exploration. App code and the data have been made fully available on the following Github repository ( The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.
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