University of Milano-Bicocca Showcase

This data set contains the data collected under the IN2SIGHT EU project (GA. 964481) for the test of different types of microlenses used for the project. These data refer to the year 2023. The microlenses have been tested with a USAF1951 target to evaluate the OSF and the MTF and have been used in imaging when implanted or on cells. A specific set of data regards the use of agarose phantoms containing fluorescent microbeads to evaluate the PSF in 3D. Each folder contains README.txt files and a "summary.pptx" graphical summary. The file "Metafile_Ulenses_2023.xlsx" contains the description of the folders tree with comments. The same file in the tab README file reports the type of microlenses investigated in vitro and in vivo. Details on the work done can be found in the deliverables of WP2 and WP4 of the project available at the EU web site https://cordis.europa.eu/project/id/964481/reporting.

AttiFood Picture Database

Raw data acquired with a Bruker IRIS hyperspectral scanner. Spectral reflectance data between 400 and 2500 nm. X-ray fluorescence data.

Accurate building extraction from high-resolution aerial imagery is essential for numerous applications in remote sensing, urban planning, and disaster management. While AI-based methods enable fast, scalable, and cost-effective segmentation of building footprints, their development is often limited by the scarce availability of large-scale, geographically diverse datasets with reliable pixel-level annotations. In this work, we present SegFVG, a large-scale, high-resolution, and geographically diverse dataset for building segmentation, focused on the Friuli Venezia Giulia region in northeastern Italy. The dataset includes over 15,000 true orthophoto aerial image tiles, each of size 2000 × 2000 pixels with a ground sampling distance of 0.1 meters, paired with precise pixel-level building segmentation masks. Covering approximately 616 square kilometers, SegFVG captures a broad spectrum of urban, suburban, and rural settings across varied landscapes, including mountainous, flat, and coastal areas. Alongside the dataset, we provide benchmark results using several deep learning models. These support the usability of SegFVG for the development of accurate segmentation models and serve as a baseline to accelerate future research in building segmentation.

Intestinal microbiota and gut-born T helper-17 (Th17) lymphocytes may act as drivers of smoldering multiple myeloma (SMM) to MM evolution. We demonstrate here that administering the human commensal Prevotella melaninogenica to transgenic Vk*MYC mice affected by Early-MM, mimicking human SMM, significantly delayed evolution to full-blown MM. Mechanistically, P. melaninogenica increased the production of short-chain fatty acids (SCFAs), preventing skew of dendritic cells towards a pro-Th17 phenotype and accumulation of Th17 cells in the bone marrow of treated mice. P. melaninogenica or butyrate synergized with anti-PD-L1 antibodies by restraining Th17 cell expansion while unleashing immune checkpoint blockade (ICB)-induced effector CD8+ T cells. P. melaninogenica also attenuated IL-17-mediated skin lesions that mimicked ICB-induced immune-related adverse events. Thus, modulation of the gut microbiota or SCFAs administration with or without ICB might represent treatment options for patients affected by plasma cell dyscrasias and other hematologic or solid tumors where IL-17 acts as driving force. The present dataset contains: - 1H NMR spectra acquired on control and growth media for PM and PH; - CMP and .exp files created for metabolite quantification in MestreNova software by SMA analysis.

The data reports experiments conducted with optcial and microwave assisted detection of magnetic field polarity for the determination of the oprational sensitivity and experimetnal parameters optimization.

An elite professional pianist executed a 30-minute, uninterrupted performance of seven pieces on a Yamaha P-225B digital piano in an anechoic chamber, employing the default soundbank. The repertoire featured Contrapunctus I (BWV 1080) by Bach and an excerpt from Chopin’s Ballade No. 1, Op. 23, performed from memory based on urtext editions. Key-press onset events were annotated per hand to quantify note and gesture counts, excluding legato transitions without discrete attacks. Both performances exhibited a convergent low-frequency periodicity in beat-level timing variability (tactus imprecision), oscillating at approximately 0.36 Hz. This slow temporal modulation aligns with the delta-band range of neural oscillations and may reflect a shared endogenous timing scaffold, plausibly motor in origin, underlying expressive control in skilled performance.

These data are part of a systematic study on the localized and non-localized etch rates of silicon nanopillars produced using Metal-Assisted Chemical Etching (MACE) for thermoelectric applications. Specifically, they represent a collection of etch rates as a function of doping level for both p-type and n-type silicon, using both 1-pot and 2-pot MACE processes. Data are available in both .csv and .xlsx format.

Experimental data collected from orichalcum chips. X-ray fluorescence (XRF), diffuse reflectance (DR) spectroscopy and combined XRF and VIS-SWIR reflectance maps

This dataset has been used in the manuscript titled “Snow Surface Parameters from PRISMA Data in the Alps and Their Implications for Radiative Forcing” and provides snow property parameters retrieved from PRISMA hyperspectral imagery acquired over Plateau Rosa (Aosta Valley, European Alps) following a Saharan dust deposition event in July 2024. The parameters include mineral dust concentration, snow grain size, broadband albedo, and instantaneous radiative forcing. These were estimated using a supervised learning approach based on the K-Nearest Neighbors (KNN) algorithm, which was applied to match observed spectra with a reference library generated using the BioSNICAR radiative transfer model. The dataset also includes Asymptotic Radiative Transfer (S-ART) model (S-ART) outputs and in situ measurements collected during a dedicated field campaign. These data support the investigation of the effects of light-absorbing impurities on snow radiative properties, contributing to the improvement of climate and hydrological modeling in high-altitude environments.