Open Access repositories for scientific literature and research data

Piergentili, Irene; Dal Pra, Stefano

The Open Access Repository (OAR) project was started to implement Open Access policies and to preserve and share the scientific research results, including research data, of INFN authors. With the approval of the “Disciplinare per l’accesso aperto ai prodotti della ricerca dell’INFN” document,...

Gruppi tematici del GLOS della CoPER

Bianco, Stefano; Chiodetti, Anna Grazia; Locati, Mario

Composizione dei Gruppi Tematici del Gruppo di lavoro Open Science della CoPER in data odierna

2 more version(s) exist for this record

Simulations of distributed systems in a computing centre

Dongiovanni, Danilo; Ronchieri, Elisabetta; Dal Pra, Stefano; dell'Agnello, Luca; Ferrari, Tiziana; Antonelli, Stefano; Cavalli, Alessandro; Gregori, Daniele; Martelli, Barbara; Prosperini, Andrea; Ricci, Pier Paolo

Modern computing centres addressed to High Energy Physics user communities have to deal with rapidly hard- ware and software systems evolution. These centres normally face a variety of problems associated with the dimensioning and configuration of several services which must satisfy per-...

Relazione del gruppo di lavoro Open Science

Bianco, Stefano; Chiodetti, Anna Grazia; Locati, Mario

Rapporto di attivita' presentato alla riunione dei Presidenti CoPER 27 marzo 2024.

Booking: un software per la prenotazione delle risorse dell'ente

Napoleoni Giovanni Lorenzo; Bisegni Claudio; Tota Michele; Orrù Ramon; Foggetta Luca Gennario

Progettazione e sviluppo di un software per la prenotazione delle risorse dell’ente che richiedono un workflow approvativo (semplice o complesso) come la prenotazione di fa- cility per esperimenti e aule per conferenze. Lo scopo del software consiste nell’informa- tizzare tutti i processi di...

The German Grid Initiative: A Uniform Accounting Service in Multiple Middleware Environments

Dal Pra, S.

Grid Economics and Business Models: 5th International Workshop, GECON 2008, Las Palmas de Gran Canaria, Spain, August 26, 2008. Proceedings 5

Edge-illumination spectral phase-contrast tomography

Brombal, Luca; Arfelli, Fulvia; Brun, Francesco; Di Trapani, Vittorio; Endrizzi, Marco; Menk, Ralf H.; Perion, Paola; Rigon, Luigi; Saccomano, Mara; Tromba, Giuliana; Olivo, Alessandro

Tomographic dataset of 2 scans: Test sample containing 5 cuvettes. Input tomographic reconstructions are in folders LOW, HIGH, ABS_SUM, PHASE. Materlial decomposition performed following the three algorithms outlined in the paper are in the folders DECOM_Spectral, DECOMP_AttenuationPhase,...

Dataset for: Synthetic Lagrangian Turbulence by Generative Diffusion Models

Tianyi Li; Luca Biferale; Fabio Bonaccorso; Martino A. Scarpolini; Michele Buzzicotti

This dataset forms the basis of our research paper "Synthetic Lagrangian Turbulence by Generative Diffusion Models" published in Nature Machine Intelligence. It is available for download from the open-access Smart-TURB portal: http://smart-turb.roma2.infn.it, in the TURB-Lagr repository (DOI:...

Synthetic Datasets for ICSC Flagship 2.6.1. "Extended Computer Vision at high rate" paper #1 "Datacube segmentation via Deep Spectral Clustering"

Alessandro Bombini; Fernando García-Avello Bofías; Caterina Bracci; Michele Ginolfi; Chiara Ruberto

Synthetic Datasets for ICSC Flagship 2.6.1. "Fast Extended Computer Vision"  paper #1 "Datacube segmentation via Deep Spectral Clustering" It is a preliminary paper for the ICSC Spoke 2 WP6 flagship 2.6.1 "Fast Extended Computer Vision". Code repository at:...

Trained Models for ICSC Flagship 2.6.1. "Extended Computer Vision at high rate" paper #1 "Datacube segmentation via Deep Spectral Clustering"

Alessandro Bombini; Fernando García-Avello Bofías; Caterina Bracci; Michele Ginolfi; Chiara Ruberto

Trained models for the paper "Datacube segmentation via Deep Spectral Clustering". It is a preliminary paper for the ICSC Spoke 2 WP6 flagship 2.6.1 "Fast Extended Computer Vision". Code repository at: https://github.com/ICSC-Spoke2-repo/FastExtendedVision-DeepCluster Abstract: Extended Vision...