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ReData: 1911 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
This dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 191
ReData: 1895 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
This dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 189
MEMODIAS Guidelines for the interview
This document outlines the guidelines for interviews conducted during the fieldwork phase of the research project “MEMODIAS – Memory Practices of the Afghan and Somali Diasporas in the USA and Italy”, carried out between 2024 and 2025 in various locations across the United States and Italy
Replication Data for: Soil Health and Microbial Diversity Across Land-Use Types: Evidence for Agroecological Management in Peri-Urban Areas
Results of metagenomic analysis (ITS for fungi and 16s for bacteria) of soil microbiome.
16s_Genus_Level_Aggregate_Counts 2.csv: ITS OTU table at genus level
ITS_Species_Level_Aggregate_Counts.csv: ITS OTU table at species level
16s_Species_Level_Aggregate_Counts.csv: 16s OTU table at species level
ITS_Genus_Level_Aggregate_Counts.csv: 16s OTU table at genus level
Samples.xlsx: metadata specifying the type of soil for each sampl
Replication data for 'Mapping the pre-translation phase in publishing'
This is the replication dataset of a contribution that focuses on the pre-translation phase in publishing. This phase involves all the still ‘invisible’ actors in translation history that are indispensable to the commissioning and delivery of a translation and to its eventual publication in book form and proposes an integrated database that includes both submissions and publish titles. The data focuses on a case study on the reception of contemporary Italian fiction within British publishing in the period 1945-1970. We combine four datasets: one that includes published translations, sourced from (Healey 2019), ICCU and BNB, with others containing submissions made to three British publishers: Allen & Unwin, Jonathan Cape and The Bodley Head, sourced from archival records (see data/ part of the dataset). With this data, we model a database based around event logs (code/ part of the dataset), and we subsequently employ process mining and phenomenographic exploratory visualisations to capture respectively a dynamic and static view of the data (viz/ part).
For detailed information about this dataset, see README.txt or refer to the related publications
Oggetti, installazioni, grafiche e fotografie
Riproduzioni di oggetti, grafiche e fotografie dall'archivio Giacomo Verde e digitalizzate grazie al progetto I_PA
Work Data n.2/Albini for I_PAD
Oggetti dall'Archivio Verde fotografati nel 2022 da Valentino Albini-Dipartimento Beni Culturali Università di Milan
3.2 - Manoscritto di Roberto Roversi "Ho Parlato Stop Alla Morte"
Manuscript by Roberto Roversi of "Ho Parlato Stop Alla Morte" (I Spoke, Stop to Death), preserved by Antonio Bagnoli (Bologna).
Song featured in the closing credits of "Non si scrive sui muri a Milano" (dir. Raffaele Maiello, 1975), music by Fiorenzo Carpi, sung by Lucio Dalla.
Manoscritto di Roberto Roversi di "Ho Parlato Stop Alla Morte", conservato dall'erede Antonio Bagnoli (Bologna).
Brano presente nei titoli di coda di "Non si scrive sui muri a Milano" (dir. Raffaele Maiello, 1975), musica di Fiorenzo Carpi, cantata da Lucio Dalla
README_CRAFTWORK_WP1_InstagramDataset__v01
This dataset includes content collected from Instagram via CrowdTangle, a dashboard owned by Meta that enables access to public posts. The data was gathered by searching for posts containing the hashtags “#artisanal” and “#artisan,” which were selected for their relevance to the project’s thematic focus. The collected material encompasses audiovisual, textual, and numerical data and reflects content published by users based in the 27 EU member states.
The data is organized in a UTF-8 encoded comma-separated (.csv) file, which can be opened using Microsoft Excel or other spreadsheet programs. The file was created using Office 16 Excel and follows standard formatting conventions. After data collection, the research team manually analyzed and coded the posts according to a defined set of variables designed to capture relevant sociocultural and commercial aspects.
Each case in the dataset is associated with a pseudonymized ID, geographic location, and an indication of whether the Instagram account is linked to a commercial activity. It also includes the type of product showcased—ranging from food and fashion to ceramics and woodwork—and identifies whether the post contains elements of “resignification” or “particularisation.” These narrative indicators reflect how artisanal work is positioned as culturally meaningful or uniquely authentic. The dataset also specifies which cases were deemed “interesting” for final inclusion, along with the reasons behind those decisions.
The metadata is openly licensed under CC0, but access to the dataset itself requires a motivated request and the explicit authorization of the project’s principal investigator
ReData: 1902 - Daily meteorological bulletins edited by the Italian Royal Central Meteorological Office
This dataset contains the daily meteorological bulletins edited by the Italian Royal Central Meteorological Office relative to the year 190