cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30648512
title: QUESTIONNAIRE FOR THE EXPERT JUDGMENT OF THE THESIS

description: QUESTIONNAIRE FOR THE EXPERT JUDGMENT OF THE THESIS ENTITLED: “Web application for the analysis and explanation of chess positions to tournament players using Artificial Intelligence”
DOI: 10.6084/m9.figshare.30648512.v1
title: QUESTIONNAIRE FOR THE EXPERT JUDGMENT OF THE THESIS

description: QUESTIONNAIRE FOR THE EXPERT JUDGMENT OF THE THESIS ENTITLED: “Web application for the analysis and explanation of chess positions to tournament players using Artificial Intelligence”
DOI: 10.5281/zenodo.13850919
title: Wide-angle simulated artificial vision enhances spatial navigation and object interaction in a naturalistic environment

description: This record contains the dataset and the processing code generated in the article: "Sandrine Hinrichs et al. Wide-angle simulated artificial vision enhances spatial navigation and object interaction in a naturalistic environment. J. Neural Eng. 21 066005 (2024). DOI 10.1088/1741-2552/ad8b6f"
DOI: 10.5281/zenodo.13850920
title: Wide-angle simulated artificial vision enhances spatial navigation and object interaction in a naturalistic environment

description: This record contains the dataset and the processing code generated in the article: "Sandrine Hinrichs et al. Wide-angle simulated artificial vision enhances spatial navigation and object interaction in a naturalistic environment. J. Neural Eng. 21 066005 (2024). DOI 10.1088/1741-2552/ad8b6f"
DOI: 10.5281/zenodo.17641581
title: Fermionic Magic Resources of Quantum Many-Body Systems

description: Understanding the computational complexity of quantum states is a central challenge in quantum many-body physics. In qubit systems, fermionic Gaussian states can be efficiently simulated on classical computers and hence can be employed as a natural baseline for evaluating quantum complexity. In this work, we develop a framework for quantifying fermionic magic resources, also referred to as fermionic non-Gaussianity, which constitutes an essential resource for universal quantum computation. We leverage the algebraic structure of the fermionic commutant to define the fermionic antiflatness (FAF)--an efficiently computable and experimentally accessible measure of non-Gaussianity, with a clear physical interpretation in terms of Majorana fermion correlation functions.  Studying systems in equilibrium, we show that FAF detects phase transitions, reveals universal features of critical points, and uncovers special solvable points in many-body systems. Extending the analysis to out-of-equilibrium settings, we demonstrate that fermionic magic resources become more abundant in highly excited eigenstates of many-body systems. We further investigate the growth and saturation of FAF under ergodic many-body dynamics, highlighting the roles of conservation laws and locality in constraining the increase of non-Gaussianity during unitary evolution. This work provides a framework for probing quantum many-body complexity from the perspective of fermionic Gaussian states and opens up new directions for investigating fermionic magic resources in many-body systems. Our results establish fermionic non-Gaussianity, alongside entanglement and non-stabilizerness, as a resource relevant not only to foundational studies but also to experimental platforms aiming to achieve quantum advantage.
DOI: 10.5281/zenodo.17641582
title: Fermionic Magic Resources of Quantum Many-Body Systems

description: Understanding the computational complexity of quantum states is a central challenge in quantum many-body physics. In qubit systems, fermionic Gaussian states can be efficiently simulated on classical computers and hence can be employed as a natural baseline for evaluating quantum complexity. In this work, we develop a framework for quantifying fermionic magic resources, also referred to as fermionic non-Gaussianity, which constitutes an essential resource for universal quantum computation. We leverage the algebraic structure of the fermionic commutant to define the fermionic antiflatness (FAF)--an efficiently computable and experimentally accessible measure of non-Gaussianity, with a clear physical interpretation in terms of Majorana fermion correlation functions.  Studying systems in equilibrium, we show that FAF detects phase transitions, reveals universal features of critical points, and uncovers special solvable points in many-body systems. Extending the analysis to out-of-equilibrium settings, we demonstrate that fermionic magic resources become more abundant in highly excited eigenstates of many-body systems. We further investigate the growth and saturation of FAF under ergodic many-body dynamics, highlighting the roles of conservation laws and locality in constraining the increase of non-Gaussianity during unitary evolution. This work provides a framework for probing quantum many-body complexity from the perspective of fermionic Gaussian states and opens up new directions for investigating fermionic magic resources in many-body systems. Our results establish fermionic non-Gaussianity, alongside entanglement and non-stabilizerness, as a resource relevant not only to foundational studies but also to experimental platforms aiming to achieve quantum advantage.
DOI: 10.5281/zenodo.17570244
title: Greenland Integrated Observing System, Ella Ø, mooring, CTD, raw

description: Greenland Integrated Observing System (raw data) 

Greenland plays a unique and central role in the global climate system. The purpose of GIOS is to develop a new research infrastructure providing a much-required sustained and long-term observation network of central climate, ecosystem and societal variables at a number of key sites around Greenland representing not only the entire Greenland but also a climate gradient representing the Arctic as a whole.

This dataset contains the RBR Concerto CTD files for a mooring located just north of Ella Ø, Northeast Greenland. The mooring is associated with a GIOS container system. 



Location: Ella Ø

Realm: Marine

Instrument: RBR Concerto

Start date: 15 August 2022

End date: 18 August 2023
DOI: 10.13130/rd_unimi/irm0ki
title: Replication Data for: GenAI's Epistemic Power

description: The data were collected through a CAWI (Computer-Assisted Web Interviewing) survey conducted in Italy in October 2023, with a representative sample of 1,800 respondents stratified by age, gender, and region. The final analytical sample includes 1,664 individuals. The survey explores public perceptions of the risks associated with Generative AI (GenAI), particularly its role in the production and dissemination of misinformation. The core outcome variable — the GenAI Deception Index — measures perceived societal risks of GenAI-generated content. It is derived from three Likert-scale items reflecting concern over GenAI’s potential to spread convincing false information. The dataset also includes experimental treatments involving exposure to AI-generated political imagery, along with measures of social media use, GenAI familiarity, and the ability to discern fabricated content.
description: Stata
DOI: 10.13130/rd_unimi/tvhwc3
title: Replication Data for: In-group we trust, no more? How senders’ legitimacy shapes the success of sanctions-based democracy promotion

description: The data and the code included in this repository can be used to reproduce the findings of the research article "In-group we trust, no more? How senders' legitimacy shapes the success of sanctions-based democracy promotion". By running the code, you will be able to replicate the analysis of the article and reproduce its regression tables and related figures. The analysis was carried out on Stata 15. You need to have installed Stata to open and use the data and code provided.
description: Stata, 15
DOI: 10.13130/rd_unimi/wedfrd
title: Replication data for: "Caulobacter segnis Dioxygenase CsO2: A Practical Biocatalyst for Stilbenoid Ozonolysis"

description: This dataset contains structural files in PDB format related to the homology model and docking poses described in the accompanying research article. It contains: model.pdb (this file is a homology model of the CSO2 enzyme, generated using the crystal structure of the dioxygenase from *Pseudomonas brassicacearum* (PDB ID: 5V2D) as a template) and Compound_x.pdb (these files contain the docking poses of the compounds listed in Table 2 of the published article. Each file corresponds to a different compound, labeled with "x" as the compound identifier (e.g., Compound_1.pdb, Compound_2.pdb, etc.). All files are in PDB (Protein Data Bank) format, a plain text format widely used to represent three-dimensional structures of molecules, especially proteins and ligands. Each PDB file contains atomic coordinates and connectivity information for a given molecular structure.
See the attached readme file and the related article for more information.
description: Schrödinger, 2021
description: All files are in PDB (Protein Data Bank) format. They can be opened and visualized using any standard molecular visualization software, such as:
- PyMOL
- Chimera or ChimeraX
- VMD (Visual Molecular Dynamics)
- UCSF Chimera
- MOE or Maestro (for users with access).
DOI: 10.5281/zenodo.10354244
title: Global Claims Dataset

description: Collection of claims collected from different fact-checking websites, covering various languages and topics. Described in "Global Claims: A Multilingual Dataset of Fact-Checked Claims with Veracity, Topic, and Salience Annotations"
description: factcheck_claims.json A JSON Lines dataset of fact-checked claims. Each entry includes the following fields:



factcheck_url: URL of the fact-checking website

factcheck_date: Date of the fact-check

claim_reviewed : Text of the reviewed claim

claim_language: Language of the claim

items_reviewed: Source URL of the reviewed claim

review_rating: Original rating assigned to the claim

review_standardized: Standardized rating (`true`, `false`, `other`, `unknown`)

topics: Dictionary of topic probabilities

Mean Topic: Inferred main topic of the claim

 twitter_presence: `True` if the claim’s source URL appears in url_tweets.json, otherwise `False`


 url_tweets.json A JSON Lines file containing tweets that shared URLs found in claims. Each entry includes:



 url: URL shared in the tweet

tweet_id: List of tweet IDs that shared the URL
DOI: 10.5281/zenodo.16942245
title: Global Claims Dataset

description: Collection of claims collected from different fact-checking websites, covering various languages and topics. Described in "Global Claims: A Multilingual Dataset of Fact-Checked Claims with Veracity, Topic, and Salience Annotations"
description: factcheck_claims.json A JSON Lines dataset of fact-checked claims. Each entry includes the following fields:



factcheck_url: URL of the fact-checking website

factcheck_date: Date of the fact-check

claim_reviewed : Text of the reviewed claim

claim_language: Language of the claim

items_reviewed: Source URL of the reviewed claim

review_rating: Original rating assigned to the claim

review_standardized: Standardized rating (`true`, `false`, `other`, `unknown`)

topics: Dictionary of topic probabilities

Mean Topic: Inferred main topic of the claim

 twitter_presence: `True` if the claim’s source URL appears in url_tweets.json, otherwise `False`


 url_tweets.json A JSON Lines file containing tweets that shared URLs found in claims. Each entry includes:



 url: URL shared in the tweet

tweet_id: List of tweet IDs that shared the URL
DOI: 10.13130/rd_unimi/y4lvv5
title: Replication Data for: PriSM: a Privacy-friendly Support vector Machine

description: The repository contains a synthetic dataset used in the experimental evaluation of the paper "PriSM: a Privacy-friendly Support vector Machine", together with the source code used for data generation, and a detailed technical report on the methodology adopted.
DOI: 10.13130/rd_unimi/y4lvv5/ade3a5
title: synthetic_generator_description.pdf
DOI: 10.13130/rd_unimi/y4lvv5/ek6aa9
title: synthetic_dataset_binarized.tab
DOI: 10.13130/rd_unimi/y4lvv5/yiv3ef
title: synthetic_dataset.tab
DOI: 10.13130/rd_unimi/x5li3x
title: Replication Data for: "Epidemiology models explain rumour spreading during France’s Great Fear of 1789" by S. Zapperi et al.,

description: The following datasets are included:

&lt;p&gt; G_tot.p: networkx.DiGraph reporting the transmission network of the Great Fear reconstructed from Lefebvre, G.: La Grande Peur de 1789: Suivi de Les Foules Révolutionnaires. Armand Colin, Paris (2021). Stored in a pickle file
 
&lt;p&gt;G_nodes.csv: nodes of the G_tot network in csv format, with attributes.

&lt;p&gt;G_edges.csv: edges of the G_tot network in csv format, with attributes.


&lt;p&gt; Rumor_Transmission_Soissonnais.csv: csv file containing the trasmission events in the Soissonnais region reconstructed from Ramsay, C.: The Ideology of the Great Fear: the Soissonnais In 1789. The Johns Hopkins University Press, Baltimore and London (1989) .

&lt;p&gt; france_outline.geojson: outline of map of France in 1790. Obtained from the map of departments published at &lt;a&gt; https://doi.org/doi:10.7910/DVN/HJISNR &lt;/a&gt;, taking the union of the polygons.

&lt;p&gt;Allodiality_data.geojson: a georeferenced dataset based on a map of France in 1789 subdivided by provinces, with associated information about Alloidiality. Data are compiled from: Hesse, P.-J.: Geographie coutumi`ere et revoltes paysannes en 1789: Una hypothese de travail. In: Annales Historiques de la Revolution Française, pp. 280–306 (1979), using the maps of departments published at &lt;a&gt; https://doi.org/doi:10.7910/DVN/HJISNR &lt;/a&gt;

&lt;p&gt;Price_data.geojson: a georeferenced dataset based on a map of France in 1789 subdivided by generalitées and with associated information about the price of wheat in 1787, 1788 and 1789. The difference between the price in 1789 and 1787 is also reported. Data are compiled from: Labrousse, C.-E.: Esquisse du Mouvement des Prix et des Revenus en France Au 18e Siecle. Dalloz, Paris (1933), using the maps of generalités published at &lt;a&gt;https://doi.org/10.7910/DVN/T8UXHK&lt;/a&gt;

&lt;p&gt; Socio_economic_data.geojson: a georeferenced dataset including all the muncipalities of France with associated information about socioeconmic and demographic variables corresponding to the year 1789. Data include price and allodiality data (see above) as well as other variables obtained from: Cagé, J., Piketty, T.: Une Histoire du Conflit Politique: Elections et Inégalités Sociales en France, 1789-2022. Seuil, Paris (2023)
DOI: 10.13130/rd_unimi/y4lvv5/hlr1ol
title: sensitive_synth_gen.py
DOI: 10.13130/rd_unimi/x5li3x/czubae
title: G_tot.p
DOI: 10.13130/rd_unimi/x5li3x/uchgrj
title: Socio_economic_data.geojson
DOI: 10.13130/rd_unimi/x5li3x/um3cpe
title: Rumor_Transmission_Soissonnais.tab
DOI: 10.13130/rd_unimi/x5li3x/vta7me
title: Price_data.geojson
DOI: 10.13130/rd_unimi/x5li3x/8usrw4
title: Allodiality_data.geojson
DOI: 10.13130/rd_unimi/x5li3x/v0feug
title: G_edges.csv
DOI: 10.13130/rd_unimi/x5li3x/8somjc
title: france_outline.geojson

description: Outline of the map of France in 1789
DOI: 10.13130/rd_unimi/x5li3x/badmds
title: G_nodes.csv
DOI: 10.13130/rd_unimi/aaekg9
title: Replication codes for: "Epidemiology models explain rumour spreading during France’s Great Fear of 1789" by S. Zapperi et al.

description: Codes to reproduce the analysis and the figures for the paper "Epidemiology models explain rumour spreading during France’s Great Fear of 1789" by S. Zapperi et al. 

&lt;p&gt; Intstructions: The codes are included in three jupyther notebooks running python3.9. Dowload the code and load it within jupyter together with the data.
DOI: 10.13130/rd_unimi/alkkrp
title: Replication Data for: Identification of neuronatin as a SERCA2b regulin-like protein and assessment of its aggregation propensity via coarse grained simulations

description: This dataset supports the study "Identification of neuronatin as a SERCA2b regulin-like protein and assessment of its aggregation propensity via coarse grained simulations". It provides all the structural and dynamic data necessary to reproduce and extend the computational results described in the publication.

The dataset includes:

Molecular docking poses of neuronatin (NNAT) on the SERCA2b calcium pump;
Molecular dynamics simulations of SERCA2b alone and in complex with NNAT, both in solution and membrane environments;
Aggregation simulations of NNAT variants using all-atom and coarse-grained models.
All simulations were performed using Desmond and converted to open formats compatible with free software. The files are intended for researchers interested in protein–protein interactions, membrane protein dynamics, and the biophysical behavior of intrinsically disordered proteins.
The files contained in the dataset are in the following formats`.pdb`: Structure file (used as topology); and `.xtc`: Trajectory file (compressed, portable format). For more details on how to open it, please refer to the attached readme file.
description: Scrödinger Suite, 2022-3
description: AmberTools, 22
description: MDTraj, 1.10.1
DOI: 10.13130/rd_unimi/vzufwr
title: Replication Data for: Gender and race in Kamala Harris’s defeat. A cross-state analysis of U.S. 2024 presidential election

description: This research note employs aggregate cross-state data to analyze the results of the 2024 US presidential election, and to test hypotheses regarding the role played by gender and race in Kamala Harris’s defeat. The Democratic party failed to capitalize on the characteristics of its presidential candidate and, compared to Biden’s election, to expand its support in states with larger female and African American electorates, and faced systematic losses in those with more Hispanic voters. This note contributes to a cumulative macro-micro approach to the analysis of election results, and thus to overcoming both ecological and micrological fallacies
description: Stata, 18
DOI: 10.13130/rd_unimi/oqpplu
title: Replication data for "Surface functionalization with short PAS-sequence affects H-Ferritin nanocage stability"

description: This file contains the raw data used to produce the manuscript "Surface functionalization with short PAS-sequence affects H-ferritin nanocage stability" by Tagliolini I. et al. The scope of the work is to investigate the impact of shorter PAS domains on the stability of HFn, focusing on a mutant modified with 20 amino acids PAS domains. Indeed, this mutant was successfully produced and purified but seems unable to form a stable quaternary structure. Here, we studied the structural dynamics properties of native HFn, PAS20-HFn, PAS40-HFn dimers, tetramers, and octamers. Our simulations indicate that PAS20-HFn tetramers exhibit increased flexibility in a specific region that is critical for dimer interactions and organization of higher-order complexes. This highlights the bipolar and essential role of HFn PASylation in HFn nanocages, especially concerning their size. Please refer to the related publication for details about the methodology of data collection and analysis. All data were loaded in a single file, in nine separate sheets (each related to a specific figure or table in the manuscript).
description: File loaded in MS Excel format. Only the first sheet of nine is visible. To see other sheets is necessary to download the file in its original format.
DOI: 10.13130/rd_unimi/79ymhj
title: Replication Data for: "I dati FAIR: un confronto tra i dataset depositati su Zenodo e Dataverse UNIMI"

description: This dataset contains data on a comparative analysis of the FAIRness of two key research data repositories: Dataverse UNIMI and Zenodo. The data refers to metadata which has been extrapolated from UNIMI researchers' datasets uploaded on the two repositories from 2019 to 2024. Results are presented in terms of the values associated to each metadata indicator constructed (as reported in the related publication). Coding and programming files are also present, they explain how the two programs, FAIRplay and FinDOI, were created. 
The dataset includes the following files, organized by analysis step: 
01) 2 csv files (one for Dataverse and one for Zenodo) containing the refinement of the data extracted from OpenAIRE (publicly available), via python program FinDOI + 2 programming code of python program FinDOI (one for Dataverse and one for Zenodo; 02) 2 csv files (one for Dataverse and one for Zenodo) containing the processing of the input files obtained from the previous step on the basis on the establish indicators, via the python program FAIRplay + 2 programming code of python program FAIRplay (one for Dataverse and one for Zenodo); 03) RMarkdown file + rendered HTML report of the R analyses, with script and results of the final analysis performed via R. 
Naming Convention adopted: step_program_repository_output.ext
For more information, see the attached README file.
description: Python
description: R
DOI: 10.13130/rd_unimi/79ymhj/yunbwe
title: 01_FinDOI_Dataverse_code.py
DOI: 10.25502/s7ms-t185/d
title: Validating Soy Use Case Advisory tool recommendations with farmers in the Chinyanja Triangle
DOI: 10.13130/rd_unimi/79ymhj/opwiot
title: 02_FAIRplay_Zenodo_code.py
DOI: 10.13130/rd_unimi/79ymhj/yzcxr9
title: 01_FinDOI_Zenodo_code.py
DOI: 10.13130/rd_unimi/79ymhj/cnsguk
title: 01_FinDOI_Dataverse_output.tab
DOI: 10.13130/rd_unimi/79ymhj/fxf40p
title: 02_FAIRplay_Dataverse_code.py
DOI: 10.13130/rd_unimi/79ymhj/4r2dq7
title: 01_FinDOI_Zenodo_output.tab
DOI: 10.13130/rd_unimi/79ymhj/liqxhw
title: 02_FAIRplay_Dataverse_output.tab
DOI: 10.13130/rd_unimi/79ymhj/ybiypb
title: 03_R_analysis.Rmd
DOI: 10.13130/rd_unimi/79ymhj/z318kh
title: 02_FAIRplay_Zenodo_output.tab
DOI: 10.13130/rd_unimi/79ymhj/0lzvec
title: 03_R_analysis.html
DOI: 10.13130/rd_unimi/79ymhj/zjuogj
title: 00_readme.md
DOI: 10.13130/rd_unimi/79ymhj/cgliqi
title: 00_README.md
DOI: 10.13130/rd_unimi/u9azji
title: Replication Data for: The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models

description: The 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" tokens
description: Stable Diffusion XL, stabilityai/stable-diffusion-xl-base-1.0
DOI: 10.25919/5v87-w617
title: Parkes observations for project P595 semester 2025APRS_05

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.15468/dl.y8v8rh
title: Occurrence Download

description: A dataset containing 1407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 1407 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002986-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.