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CORDIS

F.A.I.R. information cube

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

D3.6 Validation of processing and ML applications (opens in new window)

D3.6 Validation of processing and ML applications(M18, M30)this deliverable is related to WP Process Task 3.7 Validation

D5.1 List of datacube resources made available (opens in new window)

D5.1 List of datacube resources made available(M6, M12)this deliverable is related to WP Ingest Task 5.1 Availability of existing datacubes

D4.2 Public Listing (Catalogue of FAIRiCUBE data resources) (opens in new window)

D4.2 Public Listing (Catalogue of FAIRiCUBE data resources)(M8, M18, M30)this deliverable is related to WP Share Task 4.2 Enable FAIRiCUBE Data Access

D2.4: UC Ingest/Process synergy report (opens in new window)

D2.4: UC Ingest/Process synergy report(M12, M24)this deliverable is related to WP Use task 2.4 Ingestion / Provisioning / Processing

D2.3: UC Analysis Plans (opens in new window)

D2.3: UC Analysis Plans(M6, M12, M18, M30)this deliverable is related to WP Use task 2.3 Use case analysis

D3.1 UC exploratory data analysis (opens in new window)

D3.1 UC exploratory data analysisthis deliverable is related to WP Process Task 3.1 Exploratory data analysis

D4.3 Public Listing (Catalogue) of FAIRiCUBE processing/analysis resources) (opens in new window)

D4.3 Public Listing (Catalogue) of FAIRiCUBE processing/analysis resources)(M8, M18, M30)this deliverable is related to WP Share Task 4.3 Enable FAIRiCUBE Processing/Analysis

D2.2: Report on UC data source synergies (opens in new window)

D2.2: Report on UC data source synergies (M6, M24)this deliverable is related to WP Use task 2.2 Synchronization of data sources

D3.2 Machine learning strategy specific for each use case (opens in new window)

D3.2 Machine learning strategy specific for each use casethis deliverable is related to WP Process Task 3.2 Processing and ML guidance

D5.2 Description of the datacube ingestion pipelines (opens in new window)

D5.2 Description of the datacube ingestion pipelines(M9, M18)this deliverable is related to WP Ingest Task 5.2 Transformation of existing raster sources, Task 5.3 Transformation of existing point data sources and Task 5.4 Transformation of existing vector data sources

OEI - Requirement No. 2 Ethics Board review (opens in new window)

Ethics Board reviewthis deliverable is related to WP ethics consideration

D4.5 Apps to support community collaboration platform (opens in new window)

D4.5 Apps to support community collaboration platformthis deliverable is related to WP Share Task 4.5 Community collaboration platform

D4.4 Operational FAIRiCUBE HUB (opens in new window)

D4.4 Operational FAIRiCUBE HUBTask 4.2 Enable FAIRiCUBE Data Accessthis deliverable is related to WP Share Task 4.4 Deploy and operate FAIRiCUBE HUB

D4.1 FAIRiCUBE HUB Architecture (opens in new window)

D4.1 FAIRiCUBE HUB Architecturethis deliverable is related to WP Share Task 4.1 Define FAIRiCUBE HUB Architecture

D6.1 Internal project platform (opens in new window)

D6.1 Internal project platformthis deliverable is related to WP Disseminate Task 6.1 Communication and dissemination

D6.3 Internet website (opens in new window)

D6.3 Internet websitethis deliverable is related to WP Disseminate Task 6.1 Communication and dissemination

D6.4 Training and innovation workshops (opens in new window)

D6.4 Training and innovation workshops(2 workshop days)(M12, M24)this deliverable is related to WP Disseminate Task 6.2 Training and education

D6.5 Academic courses and course works (opens in new window)

D6.5 Academic courses and course works(M12, M24, M36)this deliverable is related to WP Disseminate Task 6.2 Training and education

D3.3 Processing and ML applications (opens in new window)

D3.3 Processing and ML applications(M12, M18)this deliverable is related to WP Process Task 3.3 Design and delivery of processing stepsand Task 3.4 Processing and ML execution

D6.2 Data management plan (opens in new window)

D6.2 Data management plan(M18, M30)this deliverable is related to WP Disseminate Task 6.3 Governance

Publications

Footprints of Worldwide Adaptation in Structured Populations of <i>Drosophila melanogaster</i> Through the Expanded DEST 2.0 Genomic Resource (opens in new window)

Author(s): Joaquin C B Nunez, Marta Coronado-Zamora, Mathieu Gautier, Martin Kapun, Sonja Steindl, Lino Ometto, Katja Hoedjes, Julia Beets, R Axel W Wiberg, Giovanni R Mazzeo, David J Bass, Denys Radionov, Iryna Kozeretska, Mariia Zinchenko, Oleksandra Protsenko, Svitlana V Serga, Cristina Amor-Jimenez, Sònia Casillas, Alejandro Sánchez-Gracia, Aleksandra Patenkovic, Amanda Glaser-Schmitt, Antonio Barbadilla, Antonio J Buendia-Ruíz, Astra Clelia Bertelli, Balázs Kiss, Banu Sebnem Önder, Bélen Roldán Matrín, Bregje Wertheim, Candice Deschamps, Carlos E Arboleda-Bustos, Carlos Tinedo, Christian Feller, Christian Schlötterer, Clancy Lawler, Claudia Fricke, Cristina P Vieira, Cristina Vieira, Darren J Obbard, Dorcas Juana Orengo, Doris Vela, Eduardo Amat, Elgion Loreto, Envel Kerdaffrec, Esra Durmaz Mitchell, Eva Puerma, Fabian Staubach, M Florencia Camus, Hervé Colinet, Jan Hrcek, Jesper Givskov Sørensen, Jessica Abbott, Joan Torro, John Parsch, Jorge Vieira, Jose Luis Olmo, Khalid Khfif, Krzysztof Wojciechowski, Lilian Madi-Ravazzi, Maaria Kankare, Mads F Schou, Emmanuel D Ladoukakis, M Josefa Gómez-Julián, M Luisa Espinosa-Jimenez, Maria Pilar Garcia Guerreiro, Maria-Eleni Parakatselaki, Marija Savic Veselinovic, Marija Tanaskovic, Marina Stamenkovic-Radak, Margot Paris, Marta Pascual, Michael G Ritchie, Michel Rera, Mihailo Jelić, Mina Hojat Ansari, Mina Rakic, Miriam Merenciano, Natalia Hernandes, Nazar Gora, Nicolas Rode, Omar Rota-Stabelli, Paloma Sepulveda, Patricia Gibert, Pau Carazo, Pinar Kohlmeier, Priscilla A Erickson, Renaud Vitalis, Jorge Roberto Torres, Sara Guirao-Rico, Sebastian E Ramos-Onsins, Silvana Castillo, Tânia F Paulo, Venera Tyukmaeva, Zahara Alonso, Vladimir E Alatortsev, Elena Pasyukova, Dmitry V Mukha, Dmitri A Petrov, Paul Schmidt, Thomas Flatt, Alan O Bergland, Josefa Gonzalez
Published in: Molecular Biology and Evolution, Issue 42, 2025, ISSN 0737-4038
Publisher: Oxford University Press (OUP)
DOI: 10.1093/MOLBEV/MSAF132

Ecology and Society (opens in new window)

Author(s): Isolde Gottwald, Sonja Steindl, Flora Strasser, Megumi Kiesel, Heimo Rainer, Elisabeth Haring, Martin Kapun
Published in: Ecology and Sociery, ISSN 1708-3087
Publisher: The Resilience Alliance
DOI: 10.1101/2025.10.10.681315

Molecular Biology and Evolution (opens in new window)

Author(s): Martin Kapun; Sonja Steindl; Maria Ricci; Manuel Löhnertz; Flora Strasser; Rui Qiang Chen; Lorin Timaeus; Nikola Szucsich; Elisabeth Haring
Published in: Ecology and Revolution, 2025, ISSN 0737-4038
Publisher: Oxford University Press
DOI: 10.22541/AU.175731863.36387636/V1

Query-driven Qualitative Constraint Acquisition (opens in new window)

Author(s): Belaid, Mohamed-Bachir; Belmecheri, Nassim; Gotlieb, Arnaud; Lazaar, Nadjib; Spieker, Helge
Published in: Journal of Artificial Intelligence Research, 2024, ISSN 1076-9757
Publisher: JAIR
DOI: 10.1613/JAIR.1.14752

On the analysis-readiness of spatio-temporal Earth data and suggestions for its enhancement (opens in new window)

Author(s): Peter Baumann
Published in: Environmental Modelling &amp; Software, Issue 176, 2024, ISSN 1364-8152
Publisher: Elsevier BV
DOI: 10.1016/J.ENVSOFT.2024.106017

AI and Datacubes: Towards a Happy Marriage (poster)

Author(s): P. Baumann, D. Misev
Published in: ESA Big Data from Space (BiDS), Vienna, Austria, 2023
Publisher: n/a

FAIRiCUBE: Enabling Gridded Data Analysis for All (opens in new window)

Author(s): Jetschny, Stefan; Schleidt, Katharina
Published in: Crossref, 2023
Publisher: EGU
DOI: 10.5281/ZENODO.11487040

On Openness in Service Stacks (opens in new window)

Author(s): Peter Baumann
Published in: 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024
Publisher: IEEE
DOI: 10.1109/ACDSA59508.2024.10467764

Performance of Null Handling in Array Databases.

Author(s): D. Misev, M. Rodionychev, P. Baumann
Published in: IEEE BigData, Sorrento, Italy, 2023
Publisher: n/a

Deep Learning-Enhanced Gap Filling in Drosophila melanogaster Genomic Data

Author(s): J. Sharma, S. Jetschny, M. Kapun, M.B. Belaid
Published in: 2024
Publisher: IMCLA

"UC3 Poster for ""Three years of experience developing the Green Deal Data Space in EuroGEO"" event" (opens in new window)

Author(s): Kapun, Martin; Steindl, Sonja
Published in: 2025
Publisher: FAIRiCUBE
DOI: 10.5281/ZENODO.16615053

UC5 Poster for the GDDS event (opens in new window)

Author(s): Ioni, Susanna; Rainer, Heimo; Chytrý, Kryštof
Published in: 2025
Publisher: FAIRiCUBE
DOI: 10.5281/ZENODO.16271250

UC2: Agriculture and Biodiversity Nexus Quantifying the Impact of Agriculture Activities on Farmland Bird Diversity with Causal Modelling (opens in new window)

Author(s): Marian Vittek, Rob Knapen, Masoume M. Raeissi & Gijs Hekkert
Published in: 2025
Publisher: FAIRiCUBE
DOI: 10.5281/ZENODO.17244954

"UC1 Poster for ""Three years of experience developing the Green Deal Data Space in EuroGEO"" event" (opens in new window)

Author(s): Ricci, Maria; BELAID, Mohamed-Bachir; Cattaneo, Marco; Löhnertz, Manuel; Peters, Andrea
Published in: 2025
Publisher: FAIRiCUBE
DOI: 10.5281/ZENODO.16570537

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