reapxdev/zenodo-scraper huggingface dataset:
6th Workshop HPC-TRES Book of Abstracts
Authors: Albanese, Marianna, Carere, Francesco, De Carlo, Marco, Di Laudo, Umberto, Markezic, Nora, Meroni, Agostino N., Pascolo, Eric, Pes, Federica, Sozza, Alessandro, Vaes, Bram, Zuccolo, Elisa, Casalena, Giulia, Burton Pogledic, Sophie, Salon, Stefano
Type: Report
Published: 2026-07-31

<p><strong>HPC-TRES </strong>| A national network to support young researchers using supercomputing to address Earth system modelling challenges.</p>
<p>In 2015, OGS and Cineca entered into an agreement to implement a training programme in the field of High Performance Computing (HPC) for applications in Earth Sciences, called "HPC Training and Research for Earth Sciences" (HPC-TRES). The programme is co-funded by the Ministry of Universities and Research (MUR) through PRACE-Italy, the special contribution for Italy's participation in the activities related to the international PRACE infrastructure.</p>
<p>The main objectives of the programme are capacity building, the enhancement of human capital, and advanced training in the fields of Digital Twin Earth, Earth System modelling (atmosphere, hydrosphere, lithosphere and biosphere) and numerical methods, the latter being considered a strategic transversal component for modelling. These objectives will be pursued through the use of national and European PRACE HPC infrastructures and services, the optimisation of algorithms and calculation codes, the management of large amounts of data ("Big Data") and graphic visualisation techniques for multidisciplinary applications in the Earth Sciences, also in the context of the "Blue Growth" strategy and, more generally, of the National Recovery and Resilience Plan.</p>
<p>HPC-TRES envisages the establishment, funding and management of training and research awards (grants for expenditure on training and research activities established in accordance with the regulations in force governing scholarships, research grants, and PhDs) designed to contribute to the thematic research lines of the scientific plan of the HPC-TRES programme.</p>
<p>In 2021, OGS, CINECA, CNR, INGV, CMCC, POLITO-DIATI, and ICTP signed the constitution of the Joint Research Unit HPC-TRES (JRU HPC-TRES), to further support the action of the HPC-TRES program. The 6th edition of the HPC-TRES workshop (related to year 2025) was held on 1 December 2025 at CNR (Bologna).</p>
<p>More information: <a href="https://www.ogs.it/it/high-performance-computing-laboratory-hpc-tres">https://www.ogs.it/en/high-performance-computing-laboratory-hpc-tres </a></p>
Insights from desk research and moderated user research interviews to support the creation of a future federated computing framework
Authors: Podgorska, Aleksandra (Ola) Helena
Type: Report
Published: 2026-07-28

<p>The purpose of this work was to understand environmental users and their needs and to review roadmap experiences of other federated organisations.</p>
<p>Existing roadmaps from federated data/comput services were reviewed and benchmarked. A report was written based on data collected from User Research interviews. The report includes: </p>
<ul>
<li>User Archetypes and Needs mapping: created based on data from environmental data and compute users </li>
<li>‘Best practice of federation’ checklist </li>
</ul>
<p>This work was undertaken as part of the UNITED project: https://eds.ukri.org/projects/united </p>
<p>Please contact data@nerc.ukri.org referencing the UNITED project if you would like to discuss this further. </p>
BIOcean5D - D1.5 Update on Standardized sequencing and imaging data
Authors: Poulain, Julie, Bertucci, Paola Yanina, Lombard, Fabien, Wiegand, Tina, Nunes-Jorge, Amandine
Type: Project deliverable
Published: 2026-07-08

<p class="p1">This deliverable provides an overview of the sequencing and imaging datasets generated within BIOcean5D since completion of D1.3: “Standardized sequencing and imaging data”, submitted in November 2025, and produced until end of June 2026. While D1.3 described the protocols, workflows, and initial production status of datasets across WP1 of BIOcean5D, this deliverable particularly reports progress achieved during 2026 regarding sequencing completion, image acquisition and classification, metadata harmonisation, quality control and integration into the BIOcean5D Data Hub.</p>
STOCHEM-CRI model output to support 'Confirming the minimal role of in-atmosphere production on the global HFC-23 budget using a 3D chemical and transport model'
Authors: Adam, Ben, Holland, Rayne, Van Hoomissen, Daniel, Burkholder, James, Khan, M Anwar H, Griffiths, Paul, Mühle, Jens, Shallcross, Dudley, Rigby, Matthew
Type: Dataset
Published: 2026-07-31

<h2>STOCHEM-CRI model outputs</h2>
<p>This dataset contains the model output for the twenty STOCHEM-CRI model runs carried out for:</p>
<blockquote>
<p>'Confirming the minimal role of in-atmosphere production on the global HFC-23 budget using a 3D chemical and transport model'</p>
</blockquote>
<p>published by Adam et al. in Atmospheric Chemistry and Physics on [date]. [doi]. </p>
<h3>Description</h3>
<p>Each directory contains outputs from a single model run, with labels correspoding to the runs as described in the manuscript. The model output consists of three files:</p>
<ul>
<li>stoch3d.bud, containing 3D arrays of flux values for each reaction of interest in each month of the 12-month analysis period</li>
<li>stoch3d.dat, containing 3D arrays of abundances (in mol/mol) for each species of interest in each month of the 12-month analysis period</li>
<li>stoch3d.tot, containing global total budgets for each species and flux of interest, for each month. This file was used for the analysis in the study.</li>
</ul>
<p>Other model outputs are purely diagnostic and are not included in this repository. The model outputs here are sufficient to reproduce all the scientific results presented in the study. </p>