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integration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | FluentlyEC| FluentlyAuthors: Fra Vittorio;Fra Vittorio;Pre-trained ONNX model for Neu-BrAuER to reproduce the results shown in the following paper: V. Fra et al.; "Neu-BrAuER: a neuromorphic Braille letters audio-reader for commercial edge devices"; ECML-PKDD 2023, DLNH Workshop; in press
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8435171&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8435171&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | OEMC, EC | PerceptiveSentinel, EC | GEMEC| OEMC ,EC| PerceptiveSentinel ,EC| GEMAuthors: EO Research Team;EO Research Team;eo-learn makes extraction of valuable information from satellite imagery easy.\nThe availability of open Earth observation (EO) data through the Copernicus and Landsat programs represents an unprecedented resource for many EO applications, ranging from ocean and land use and land cover monitoring, disaster control, emergency services and humanitarian relief. Given the large amount of high spatial resolution data at high revisit frequency, techniques able to automatically extract complex patterns in such spatio-temporaldata are needed.\neo-learn is a collection of Python packages that have been developed to seamlessly access and process spatio-temporal image sequences acquired by any satellite fleet in a timely and automatic manner. eo-learn is easy to use, it's design modular, and encourages collaboration -- sharing and reusing of specific tasks in a typical EO-value-extraction workflows, such as cloud masking, image co-registration, feature extraction, classification, etc. Everyone is free to use any of the available tasks and is encouraged to improve the, develop new ones and share them with the rest of the community.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7732719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 72visibility views 72 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7732719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | PerceptiveSentinel, EC | GEMEC| PerceptiveSentinel ,EC| GEMMatej Aleksandrov; Žiga Lukšič; Matic Lubej; iovsn; Devis Peressutti; Andrej Burja; Tomislav Slijepčević; Matej Batič; Lojze Žust; jgersak; William Ouellette; Beno Šircelj; Nejc Vesel; gmilcinski; Drew Bollinger; Domagoj; JohannesRSchmid; Hugo Fournier; Filip Koprivec; eerzin; Peter Fogh; Zhuangfang Yi 依庄防; JohannesSchmid; Andrew Tedstone; Anze Zupanc; fred-sch; Gnilliw; JernejPuc; ChungXiang Hong; meengel;eo-learn makes extraction of valuable information from satellite imagery easy. The availability of open Earth observation (EO) data through the Copernicus and Landsat programs represents an unprecedented resource for many EO applications, ranging from ocean and land use and land cover monitoring, disaster control, emergency services and humanitarian relief. Given the large amount of high spatial resolution data at high revisit frequency, techniques able to automatically extract complex patterns in such spatio-temporaldata are needed. eo-learn is a collection of Python packages that have been developed to seamlessly access and process spatio-temporal image sequences acquired by any satellite fleet in a timely and automatic manner. eo-learn is easy to use, it's design modular, and encourages collaboration -- sharing and reusing of specific tasks in a typical EO-value-extraction workflows, such as cloud masking, image co-registration, feature extraction, classification, etc. Everyone is free to use any of the available tasks and is encouraged to improve the, develop new ones and share them with the rest of the community.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7701379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 20visibility views 20 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7701379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023 EnglishPublisher:Zenodo Funded by:EC | REMAROEC| REMAROJuliane Päßler; Maurice H. ter Beek; Ferruccio Damiani; S. Lizeth Tapia Tarifa; Einar Broch Johnsen;This is the artifact accompanying our paper "Formal Modelling and Analysis of a Self-Adaptive Robotic System" accepted for publication at the 18th International Conference on integrated Formal Methods (iFM). The artifact contains all the necessary material to run it on the iFM 2023 Artifact Evaluation VM, as well as an extensive README file with instructions on the set-up, replication of the results of the paper, and ideas for extensions. The code of the artifact, without PRISM and ProFeat, can be found here.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8275532&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8275532&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023 EnglishPublisher:Code Ocean Funded by:EC | ForestValueEC| ForestValueKyle Eyvindson; Daniel Burgas; Markus Hartikainen; Clara Antón-Fernández; Jussi Hakanen; Michael Emmerich; Johannna Lundström; Mikko Mönkkönen; Tord Snäll; Astor Toraño Caicoya; Marta Vergarechea; Clemens Blattert;MultiOptForest is an open-source software designed to simplify building and solving multi-objective optimization problems for forest planning. It aims to find the optimal portfolio of management regimes that balance the objectives regarding multiple forest ecosystem services and biodiversity. The software flexibly imports data, allowing for the use of a variety of forest simulator outputs. The user provides preference information through a user-friendly graphical interface, where the range of possible values for each objective is provided. MultiOptForest solves the optimization problem producing a set of Pareto optimal solutions, i.e., solutions where none of the objectives can be improved without compromising others. MultiOptForest is versatile enough to design a Pareto optimal forest plan for a small holding to assess management and the trade-off between multiple policy objectives impacting the development of forests across regions and countries.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24433/co.9958949.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24433/co.9958949.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: Martínez, Néstor Lucas; Ortega, José Fernán Martínez; Díaz, Vicente Hernández;Martínez, Néstor Lucas; Ortega, José Fernán Martínez; Díaz, Vicente Hernández;This release corresponds to the final version of the Mission Manager middleware component that has been developed for the AFarCloud European Research Project. It was tested and validated during the final demonstration in San Rossore in Pisa (Italy) held on the third week of November in 2021.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7331836&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7331836&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | DiverfarmingEC| DiverfarmingAuthors: Marianna Cerasuolo;Marianna Cerasuolo;ECOSSE executable file for Mac and Windows and example of input files. The model ECOSSE, initially developed by Prof. Jo Smith (University of Aberdeen), was modified to account of all diversifications and land uses considered in Diverfarming.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 43visibility views 43 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: Mario San Emeterio de la Parte; Sara Lana Serrano; Vicente Hernández Díaz; José-Fernán Martínez-Ortega;Mario San Emeterio de la Parte; Sara Lana Serrano; Vicente Hernández Díaz; José-Fernán Martínez-Ortega;This Release contains the final version of the DAM&DQ component of the Semantic Middleware for the AFarCloud smart agriculture platform. The data management is based on a novel Spatio-Temporal-Semantic data model proposal.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263410&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 45visibility views 45 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263410&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: De La Parte, Mario San Emeterio; Serrano, Sara Lana; Díaz, Vicente Hernández; Martínez-Ortega, José-Fernán;De La Parte, Mario San Emeterio; Serrano, Sara Lana; Díaz, Vicente Hernández; Martínez-Ortega, José-Fernán;The set of Schemas defining the modeling of a novel Spatio-temporal-Semantic Data Model for Precision Agriculture IoT devices. Schemas for modeling observations captured by sensors or devices, collars fitted to the necks of livestock, and vehicle state-vectors are included.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263254&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 72visibility views 72 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263254&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | EUROFLOWEC| EUROFLOWAuthors: Devanshi Pathak;Devanshi Pathak;This release includes scripts and data files for the MUFT model.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7197544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 54visibility views 54 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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integration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | FluentlyEC| FluentlyAuthors: Fra Vittorio;Fra Vittorio;Pre-trained ONNX model for Neu-BrAuER to reproduce the results shown in the following paper: V. Fra et al.; "Neu-BrAuER: a neuromorphic Braille letters audio-reader for commercial edge devices"; ECML-PKDD 2023, DLNH Workshop; in press
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8435171&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8435171&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | OEMC, EC | PerceptiveSentinel, EC | GEMEC| OEMC ,EC| PerceptiveSentinel ,EC| GEMAuthors: EO Research Team;EO Research Team;eo-learn makes extraction of valuable information from satellite imagery easy.\nThe availability of open Earth observation (EO) data through the Copernicus and Landsat programs represents an unprecedented resource for many EO applications, ranging from ocean and land use and land cover monitoring, disaster control, emergency services and humanitarian relief. Given the large amount of high spatial resolution data at high revisit frequency, techniques able to automatically extract complex patterns in such spatio-temporaldata are needed.\neo-learn is a collection of Python packages that have been developed to seamlessly access and process spatio-temporal image sequences acquired by any satellite fleet in a timely and automatic manner. eo-learn is easy to use, it's design modular, and encourages collaboration -- sharing and reusing of specific tasks in a typical EO-value-extraction workflows, such as cloud masking, image co-registration, feature extraction, classification, etc. Everyone is free to use any of the available tasks and is encouraged to improve the, develop new ones and share them with the rest of the community.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7732719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 72visibility views 72 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7732719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo Funded by:EC | PerceptiveSentinel, EC | GEMEC| PerceptiveSentinel ,EC| GEMMatej Aleksandrov; Žiga Lukšič; Matic Lubej; iovsn; Devis Peressutti; Andrej Burja; Tomislav Slijepčević; Matej Batič; Lojze Žust; jgersak; William Ouellette; Beno Šircelj; Nejc Vesel; gmilcinski; Drew Bollinger; Domagoj; JohannesRSchmid; Hugo Fournier; Filip Koprivec; eerzin; Peter Fogh; Zhuangfang Yi 依庄防; JohannesSchmid; Andrew Tedstone; Anze Zupanc; fred-sch; Gnilliw; JernejPuc; ChungXiang Hong; meengel;eo-learn makes extraction of valuable information from satellite imagery easy. The availability of open Earth observation (EO) data through the Copernicus and Landsat programs represents an unprecedented resource for many EO applications, ranging from ocean and land use and land cover monitoring, disaster control, emergency services and humanitarian relief. Given the large amount of high spatial resolution data at high revisit frequency, techniques able to automatically extract complex patterns in such spatio-temporaldata are needed. eo-learn is a collection of Python packages that have been developed to seamlessly access and process spatio-temporal image sequences acquired by any satellite fleet in a timely and automatic manner. eo-learn is easy to use, it's design modular, and encourages collaboration -- sharing and reusing of specific tasks in a typical EO-value-extraction workflows, such as cloud masking, image co-registration, feature extraction, classification, etc. Everyone is free to use any of the available tasks and is encouraged to improve the, develop new ones and share them with the rest of the community.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7701379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 20visibility views 20 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7701379&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023 EnglishPublisher:Zenodo Funded by:EC | REMAROEC| REMAROJuliane Päßler; Maurice H. ter Beek; Ferruccio Damiani; S. Lizeth Tapia Tarifa; Einar Broch Johnsen;This is the artifact accompanying our paper "Formal Modelling and Analysis of a Self-Adaptive Robotic System" accepted for publication at the 18th International Conference on integrated Formal Methods (iFM). The artifact contains all the necessary material to run it on the iFM 2023 Artifact Evaluation VM, as well as an extensive README file with instructions on the set-up, replication of the results of the paper, and ideas for extensions. The code of the artifact, without PRISM and ProFeat, can be found here.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8275532&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.8275532&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2023 EnglishPublisher:Code Ocean Funded by:EC | ForestValueEC| ForestValueKyle Eyvindson; Daniel Burgas; Markus Hartikainen; Clara Antón-Fernández; Jussi Hakanen; Michael Emmerich; Johannna Lundström; Mikko Mönkkönen; Tord Snäll; Astor Toraño Caicoya; Marta Vergarechea; Clemens Blattert;MultiOptForest is an open-source software designed to simplify building and solving multi-objective optimization problems for forest planning. It aims to find the optimal portfolio of management regimes that balance the objectives regarding multiple forest ecosystem services and biodiversity. The software flexibly imports data, allowing for the use of a variety of forest simulator outputs. The user provides preference information through a user-friendly graphical interface, where the range of possible values for each objective is provided. MultiOptForest solves the optimization problem producing a set of Pareto optimal solutions, i.e., solutions where none of the objectives can be improved without compromising others. MultiOptForest is versatile enough to design a Pareto optimal forest plan for a small holding to assess management and the trade-off between multiple policy objectives impacting the development of forests across regions and countries.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24433/co.9958949.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.24433/co.9958949.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: Martínez, Néstor Lucas; Ortega, José Fernán Martínez; Díaz, Vicente Hernández;Martínez, Néstor Lucas; Ortega, José Fernán Martínez; Díaz, Vicente Hernández;This release corresponds to the final version of the Mission Manager middleware component that has been developed for the AFarCloud European Research Project. It was tested and validated during the final demonstration in San Rossore in Pisa (Italy) held on the third week of November in 2021.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7331836&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7331836&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | DiverfarmingEC| DiverfarmingAuthors: Marianna Cerasuolo;Marianna Cerasuolo;ECOSSE executable file for Mac and Windows and example of input files. The model ECOSSE, initially developed by Prof. Jo Smith (University of Aberdeen), was modified to account of all diversifications and land uses considered in Diverfarming.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 43visibility views 43 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7293378&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: Mario San Emeterio de la Parte; Sara Lana Serrano; Vicente Hernández Díaz; José-Fernán Martínez-Ortega;Mario San Emeterio de la Parte; Sara Lana Serrano; Vicente Hernández Díaz; José-Fernán Martínez-Ortega;This Release contains the final version of the DAM&DQ component of the Semantic Middleware for the AFarCloud smart agriculture platform. The data management is based on a novel Spatio-Temporal-Semantic data model proposal.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263410&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 45visibility views 45 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263410&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | AFarCloudEC| AFarCloudAuthors: De La Parte, Mario San Emeterio; Serrano, Sara Lana; Díaz, Vicente Hernández; Martínez-Ortega, José-Fernán;De La Parte, Mario San Emeterio; Serrano, Sara Lana; Díaz, Vicente Hernández; Martínez-Ortega, José-Fernán;The set of Schemas defining the modeling of a novel Spatio-temporal-Semantic Data Model for Precision Agriculture IoT devices. Schemas for modeling observations captured by sensors or devices, collars fitted to the necks of livestock, and vehicle state-vectors are included.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263254&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 72visibility views 72 download downloads 4 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7263254&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2022Publisher:Zenodo Funded by:EC | EUROFLOWEC| EUROFLOWAuthors: Devanshi Pathak;Devanshi Pathak;This release includes scripts and data files for the MUFT model.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7197544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!visibility 54visibility views 54 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7197544&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu