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ReData: 1906 - 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 190
Social Identity (De-)activation
No full textThe dataset derives from the POMLAB “Social and Political Identities” study, a multi-wave CAWI (Computer-Assisted Web Interviewing) program conducted in Italy between December 2022 and July 2023. The design consists of nine independent cross-sectional waves, each fielded to a quota sample of the adult population stratified by age, gender, and region
Replication Data for: PROTEOME ANALYSIS REVEALS COMMON PLAYERS BETWEEN THE PHYSIOLOGICAL NEURODEGENERATION OF THE ASCIDIAN CIONA INTESTINALIS AND THE PATHOLOGICAL NEURODEGENERATION IN HUMANS
No full textThis dataset includes LC-MS/MS data of differentially expressed proteins in the Ciona intestinalis proteome generated in the study entitled “PROTEOME ANALYSIS REVEALS COMMON PLAYERS BETWEEN THE PHYSIOLOGICAL NEURODEGENERATION OF THE ASCIDIAN CIONA INTESTINALIS AND THE PATHOLOGICAL NEURODEGENERATION IN HUMANS", by Daniele Capitanio, Silvia Mercurio, Ettore Mosca, Cristina Battaglia, Marco Venturin, and Roberta Pennati.
Tunicates, including ascidians, are recognized as the true “sister group” of vertebrates and are emerging as models to study the development and degeneration of central nervous system (CNS). Ascidian larvae have the typical chordate body plan that includes a dorsal neural tube. During their metamorphosis, a deep tissue reorganization takes place, with some tissues that degenerate while others develop to become functional during the adult life. The larval CNS also degenerates and most neurons disappear, making room to the formation of adult CNS. The genome of the ascidian Ciona intestinalis has been sequenced and annotated, with several CNS specific genes that have been characterized, revealing specification mechanisms shared with humans. These features make ascidian metamorphosis a good model to study the mechanisms underlying physiological CNS degeneration and to compare them to the pathological condition typical of neurodegenerative diseases.
In order to shed light on the molecular determinants of C. intestinalis metamorphosis and neurodegeneration, we analyzed its proteome at three stages of development: swimming larva (SwL, Hotta stage 28), settled larva (SetL, Hotta stage 32) and metamorphosing larva (MetL, Hotta stage 34).
A total of 9 samples were collected from three stages of larval development of Ciona (3 biological replicates for each stage) and their proteins were extracted in lysis buffer (0.1 M Tris/HCl pH 7.6, 4% SDS, 0.1 M DTT and 0.001 M PMSF) through sonication. Proteins were denatured at 95°C for 3 min and lysates clarified by centrifugation at 16000 g for 15 min. Protein concentrations were determined using the 2D-Quant Kit (Cytiva) and 120 ug of each extract were processed following the Filter aided sample preparation (FASP) method. Proteins were identified to match with Ciona intestinalis UNIPROT reference proteome (UP000008144) and their peaks were quantified with MaxQuant software (version 2.7.0.0, Max Planck Institute of Biochemistry, Germany) (Cox and Mann 2008). Detection of differentially expressed proteins (DEPs) was performed with Perseus software (Tyanova et al. 2016) (version 2.0.11, Max Planck Institute of Biochemistry). ANOVA and Tukey post-hoc test (p-value < 0.05) were used to obtain DEPs with their corresponding log fold change (LFC) values for the pairwise comparisons between the three developmental stages. Proteins with less than 6 valid values in at least 1 group were filtered out. False positives were excluded utilizing the Benjamini–Hochberg false discovery rate test. STRING (Version 12.0, https://string-db.org/) annotation was also used to further characterize DE proteins.
405 modulated proteins were identified by mass spectrometry, 156 of which are also regulated at transcript level. Enrichment analysis showed the involvement of several processes/pathways, including authophagy, proteasome and mTOR pathway among the most significant terms.
This work will contribute to give a comprehensive picture of the molecular pathways and mechanisms underlying ascidian metamorphosis, also pointing to new possible actors involved in the neurodegeneration process in humans
ReData: 1899 - 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 189
LSE Peace and Internationalism collection - archive data
No full textThe images were taken during a short research period at the Library of the London School of Economics (LSE) , 2-5 September 2025. They offer a glimpse into the Peace and Internationalism Collection, capturing a few touches of the visual and material culture of peace activism. The items document the rhetoric, symbols and communicative strategies used by organisations such as the Women’s International League for Peace and Freedom (WILPF) and provide a sample of the archival materials that will form the basis of a broader multimodal corpus
PhD thesis R13669 Bionda Arianna
No full textThis dataset contains the Supplementary Material associated with the PhD thesis of Arianna Bionda, titled “Biodiversity and Environmental Adaptation in Small Ruminants: Mapping Temporal and Spatial Genomic Changes in Italian Sheep and Goats”
(Dipartimento di Scienze Agrarie e Ambientali - Produzione, Territorio, Agroenergia, Università degli Studi di Milano; PhD program in Agriculture, Environment and Bioenedgy; Cycle XXXVIII, 2024–2025; https://hdl.handle.net/2434/1199177).
DATASET STRUCTURE
The supplementary material is organised into sub-folders corresponding to each chapter of the thesis and includes additional data, figures, scripts, and documents referenced in the main text. Each file is named and structured according to the captions provided at the end of each chapter.
When the “Supplementary Material” folder is placed in the same directory as the thesis PDF, the interactive links within the thesis allow direct access to the corresponding files.
BRIEF SUMMARY OF THE PROJECT
This PhD project investigates the genomic diversity, environmental adaptation, and vulnerability of Italian sheep and goat breeds. By integrating genomic, ecological, and demographic data, the research explores how environmental change, management practices, and historical processes have shaped the genetic structure and adaptive potential of small ruminant populations.
Through a combination of population genomics, landscape genomics, and temporal analyses, the work maps spatial and temporal genomic patterns, identifies candidate genes linked to adaptation, and assesses the exposure of local breeds to future climatic and environmental risks.
The results provide a comprehensive framework for understanding livestock biodiversity in Italy and contribute practical tools to guide conservation and sustainable management of small ruminant genetic resources under changing environmental conditions
Replication Data for: "Pharmacogenomics of opioid response in European advanced cancer patients"
No full textThis dataset contains the bioinformatic and statistical scripts developed and used to perform the genetic analyses described in my PhD thesis entitled “Pharmacogenomics of opioid response in European advanced cancer patients”, with the aim of ensuring transparency and reproducibility of this analytical workflow.
The scripts were applied to investigate inter-individual genetic variability in European advanced cancer patients to opioid treatment response, both in terms of efficacy, measured as Pain Intensity (PI) and treatment-related side effects, particularly nausea and vomiting, measured through a numerical Nausea-Vomiting Score (NVS).
Particularly, the scripts were used to perform genotype quality control, genome-wide association studies (GWAS), multivariable linear regression models, heritability estimation using LD Score Regression (LDSC), stratified LD Score Regression (sLDSC), colocalization analyses with eQTL data, and bidirectional Mendelian Randomization analyses.
The files provided are organized according to the analytical workflow described in the thesis and they are mainly written in Bash, R and Python language.
The file naming conventions reflect the order of the analysis and the phenotype investigated, to facilitate understanding by other researchers.
In compliance with the General Data Protection Regulation (GDPR), only analysis scripts are provided; no individual-level genetic or phenotypic data are included in this dataset
10 - Downscaled dataseries of precipitation and temperature
No full textDownscaled dataseries of precipitation and temperature with Delta Quintile Mapping method.
Considering the reference period 2005-2020 for both temperature and precipitation, the Spatial Downscaling technique of Quantile Delta Mapping (Cannon et al., 2015) was applied, obtaining 5 rows for each RCM (total 21 models). A series was obtained for the reference period (bias-corrected) and for the four future scenarios S1, S2, S3, and S4, of +1.5°C, +2°C, +3°C, +4°C, respectively
Replication Data for "Shall we go to the mountains or to the sea for the winter holidays? Occurrence drivers and cultural relevance of the climate-vulnerable Snow Bunting Plectrophenax nivalis in Italy"
No full textData used to model snow bunting distribution in Italy. See the text of the related publication for an explanation about methods and analyses.
It consists of different observations of the target species, for which the following elements are reported:
- date
- year: observation year
- period (1: wintering; 2: migration)
- number: number of observed individuals
- X coordinate (longitude of the observation; EPSG: 3035)
- Y coordinate (latitude of the observation; EPSG: 3035)
The other data used in the paper are reported directly in the text and/or the supplementary material
Maps of median date per cell, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"
No full textThis dataset includes the maps of the median migration date per grid cell obtained by interpolating a complementary log-log curve into the data at each cell separately. One map is created for each combination of parameters used in the procedure