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Supplementary data for the manuscript of Negrea et. al, 2026 “Exploring mechanisms of early acquired resistance to doxorubicin in melanoma spheroids” These data represent: 1) Supplementary material (methods description and supplementary figures) 2) Supplementary Table 1. RT-qPCR Primers sequences. 3) Supplementary Table 2. All DEGs. 4) Supplementary Table 3.1 GO and 3.2. KEGG analysis results. 5) Supplementary Table 4. GSEA analysis results. 6) Supplementary Table 5. DEG in selected processes. 

Research data related to the ​Department of Statistics & Quantitative Methods of the University of Milano - Bicocca

Research data related to the ​Department of Earth and Environmental Sciences – DISAT of the University of Milano - Bicocca

Molecular Dynamics Simulation of T4-Lysozyme in the WT and L99A variant

Molecular Dynamics Simulation of od PDZ3 domina in the apo form and bound to an activator peptide

Raw mass spectrometry data of saliva samples from human subjects across three groups - healthy controls, oral potentially malignant disorders (OPMD), and oral squamous cell carcinoma (OSCC). Untargeted metabolomic profiling was carried out by liquid chromatography-high-resolution mass spectrometry (LC-HRMS) on Agilent 6545 Q-TOF for the manuscript entitled "Untargeted Salivary Metabolomic Profiling Uncovers Metabolic Dysregulation in Oral Squamous Cell Carcinoma Patients”.

Megafaunal abundance, seafloor depth, and polymetallic nodule coverage data from image analyses conducted across the GSR MiningImpact test site in the eastern Clarion–Clipperton Zone (CCZ), including R scripts for statistical analyses and figure generation.

This repo contains the results and analysis data used in the experiment reported in the paper "Anycast and Third-party Libraries: A Recipe for a Privacy Disaster?" (https://doi.org/10.1109/MCOM.006.2400576).

This dataset contains cross-sectional survey responses from Chinese vocational CBEC students. It focuses on the relationship between students' internet-mediated intergroup contact and their cross-cultural task-management strategies. The data includes measurements of digital media exposure, internal psychological factors, and behavioral coping mechanisms, along with basic demographic and experiential information.

***Disclaimer: Still in Draft - missing some files! Raw multi-sensor recordings from a brushed permanent-magnet DC servo motor (3PI12.12) driven by a 4-quadrant thyristor (SCR) converter. Each sensor data was recorded separately under the same operating conditions — matched load level and mechanical condition — using four sensors: armature current, an AV-160B vibrometer probe, a budget Android phone microphone, and vibrometer spot readings. Hypothesis. The dataset is built to test whether ordinary smartphone audio can replace invasive or specialised diagnostic equipment (current probes, contact vibrometers) for motor condition monitoring. With the phone recorded at ~1 m under the same conditions as the instrument-grade references, researchers can compare models trained on phone audio against those trained on current and vibrometer signals — i.e. whether a phone alone can estimate load and tell apart normal operation, direction reversal, and a loose foundation. Published as recorded (raw, untransformed). It also suits load estimation, foundation-looseness detection, direction-reversal analysis, and converter/commutation signature studies. The readme file gives ML pipeline suggestions only as guidance.