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ReData: 1924 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
No full textThis dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 192
ReData: 1923 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
No full textThis dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 192
ReData: 1913 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
No full textThis dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 191
ReData: 1939 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
No full textThis dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 193
Replication Data for: mitochondrial potential of "Replicative Senescence in Mesenchymal Stem Cells: An In Vitro Study on Mitochondrial Dynamics and Metabolic Alterations"
No full textChanges in mitochondrial membrane potential were analyzed by staining bMSCs with 10 µg/mL JC-1 (T3168, Invitrogen, Thermo Fisher Scientific). This probe evaluates mitochondrial potential by measuring fluorescence intensities of red-shifted aggregates (in functional mitochondria) and green-shifted JC-1 (in damaged mitochondria) monomers. Cells seeded on a 96-well black plate (Costar, Sigma-Aldrich) (6 × 103 cells/well) were incubated for 15 min at 37 °C in the dark with JC-1 (λex/λem red = 535/590 nm; λex/λem green = 485/530 nm). Fluorescence was acquired at Varioskan LUX Multimode Microplate Reader (Thermo Fisher Scientific). The red/green ratio was calculated for each sample. Mitochondrial membrane depolarization was assessed by changes in the JC-1 red/green fluorescence ratio, with a decreased ratio indicating a reduction in mitochondrial membrane potential [22]. Cells cultured on microscope slides (631-0149, VWR International S.r.l.) and incubated with JC-1 were also imaged using a 40× oil-immersion objective on an Leica SP8 confocal microscope (Leica Microsystems)
Replication Data for: mitochondrial ROS of "Replicative Senescence in Mesenchymal Stem Cells: An In Vitro Study on Mitochondrial Dynamics and Metabolic Alterations"
No full textbMSCs were cultured in a 96-well black plate (Costar, Sigma-Aldrich) (6 × 103 cells/well) and incubated for 10 min at 37 °C with MitoSOX (M36008, Molecular Probes, Thermo Fisher Scientific), protected from light. Fluorescence was measured at λex/λem = 510/580 nm using the Varioskan LUX Multimode Microplate Reader (Thermo Fisher Scientific), and normalized to the cell number
CRAFTWORK_WP1_TikTokDataset__v01
No full textThe “TikTok Dataset” was developed as part of the CRAFTWORK research project, coordinated by Alessandro Gandini at the University of Milan and supported by the European Union through the ERC Starting Grants 2020 under the Horizon 2020 Programme. The project explores the evolving relationship between identity and work in contemporary society, with a particular emphasis on artisanal labor and its cultural significance.
This dataset comprises content collected from the social media platform TikTok, using an ad-hoc scraper that leverages the TikTok Web API to extract media and related metadata. The data was gathered by identifying posts that include the hashtags “#artisanal” and “#artisan” in the video captions. After collection, the dataset was manually reviewed and analyzed by the research team to identify patterns and themes consistent with the project’s research objectives.
The material is stored in a UTF-8 encoded, comma-separated .csv file, which can be opened using standard spreadsheet software such as Microsoft Excel. The file contains audiovisual, textual, and numerical data gathered from relevant TikTok posts published by users based in the 27 European Union member states. The dataset focuses exclusively on cases where the TikTok account is linked to a commercial or artisanal activity.
Each entry is categorized using a structured set of variables, including a pseudonymized ID, the country of origin, and the type of product featured, such as food, beauty items, clothing, ceramics, or woodcraft. The dataset also identifies narrative markers, including “resignification,” referring to how artisanal labor is framed as culturally valuable work, and “particularisation,” which signals references to authenticity and uniqueness. Each case is evaluated for its relevance to the study, and the reasons for inclusion or exclusion in the final analysis are documented.
While the metadata is publicly available under a CC0 license, full access to the dataset requires a motivated request addressed to the project’s principal investigator and cannot be shared beyond the initial requester without explicit permission
1.5 Tracklist - 465 brani inseriti in 60 musicarelli e altri film - 465 songs from 60 Italian jukebox musicals and other films
No full text465 songs from 60 Italian jukebox musicals and other films
[tracklist and film titles provided in the first columns of tabular data
Replication Data for Impact of nanoformulated vs. free doxorubicin on T lymphocytes: a translational clinical study on breast cancer patients undergoing neoadjuvant chemotherapy"
No full textThis dataset aims to collect all raw data published in the manuscript " Impact of doxorubicin-loaded ferritin nanocages (FerOX) vs. free doxorubicin on T lymphocytes: a translational clinical study on breast cancer patients undergoing neoadjuvant chemotherapy" by Sevieri M. et al. The scope of the work is to characterize doxorubicin toxicity against T-cells in order to elucidate its effect on breast cancer patients undergoing neoadjuvant chemotherapy. It also compare DOX effects with those achieved with a Ferritin-based DOX formulation in order to assess its translational potential. Please refers to the related publication for details about methodology of data collection and analysis. All data were loaded in a single file, in ten separate sheet (each related to a specific figure in the manuscript)
Replication Data for: The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
No full textThe dataset contains the data relative to the publication "The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models" submitted at AI-CAH2025@MLSP. The dataset contains:
- prompts.csv: the list of prompts and the corresponding seeds used in the generation phase;
- content_style_iou_results.csv: the metrics computed in order to obtain the IoU for content-style disentanglement
- all_images.zip: a compressed directory of generated artwork images and the heatmaps corresponding to "content" and "style" token