Nanopublications LDF server

Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }

• environment.lock.yml description "Python environment for executing the associated Jupyter notebook." assertion.
• environment.lock.yml description "Python environment for executing the associated Jupyter notebook." assertion.
• environment.yml description "environment.yml (Conda environment for Python JupyterGIS)" assertion.
• environment.yml description "environment.yml (Conda environment for Python JupyterGIS)" assertion.
• get_typename_from_WFS.ipynb description "## Get data layer names from WFS service URL **Learn how to get the typename (e.g. data layers) which are requested for querying WFS services**" assertion.
• get_typename_from_WFS.ipynb description "## Get data layer names from WFS service URL **Learn how to get the typename (e.g. data layers) which are requested for querying WFS services**" assertion.
• saarland-flooding description "Jupyter Book (HTML rendered version) to showcase JupyterGiS in action using flooding event data from Saarland, Germany, available via the Urban Data Portal." assertion.
• saarland-flooding description "Jupyter Book (HTML rendered version) to showcase JupyterGiS in action using flooding event data from Saarland, Germany, available via the Urban Data Portal." assertion.
• zenodo.15470110 description "Saarland flooding (Galaxy History) with outputs and executed notebooks." assertion.
• zenodo.15470110 description "Saarland flooding (Galaxy History) with outputs and executed notebooks." assertion.
• saarland-flooding.git description "This Github repository contains the latest version of the jupyter notebooks showcasing JupyterGIS." assertion.
• saarland-flooding.git description "This Github repository contains the latest version of the jupyter notebooks showcasing JupyterGIS." assertion.
• document description "The multiplication of publicly available datasets makes it possible to develop Deep Learning models for many real-world applica tions. However, some domains are still poorly explored, and their related datasets are often small or inconsistent. In addition, some biases linked to the dataset construction or labeling may give the impression that a model is particularly efficient. Therefore, evaluating a model requires a clear understanding of the database. Moreover, a model often reflects a given dataset’s performance and may deteriorate if a shift exists between the training dataset and real-world data. In this paper, we derive a more consistent and balanced version of the TrashCan [6] image dataset, called UNO, to evaluate models for de tecting non-natural objects in the underwater environment. We pro pose a method to balance the number of annotations and images for cross-evaluation. We then compare the performance of a SOTA object detection model when using TrashCAN and UNO datasets. Addition ally, we assess covariate shift by testing the model on an image dataset for real-world application. Experimental results show significantly better and more consistent performance using the UNO dataset. The UNO database and the code are publicly av https://github.com/CBarrelet/balanced_kfold" assertion.
• 13952176 description "Three underwater macro-litter image datasets for object detection in YOLO format: UNO dataset: All details are available in From TrashCan to UNO: Deriving an Underwater Image Dataset to Get a More Consistent and Balanced Version, C.Barrelet et al, ICPR 2022 MORGANE dataset: Images taken in shallow water in the harbors near Montpellier, France VENICE dataset: Images taken during the MAELSTROM experiments in Venice, Italy" assertion.
• 14929590 description "Petrizzo, A., MOSCHINO, V., Madricardo, F., Ghezzo, M., Galvez, D., Rodriguez, M., & ferrari, . nicola . (2022). D5.1 Report on site identification and installation of the Seabed Cleaning System in Venice. MAELSTROM Project. https://doi.org/10.5281/zenodo.14929590" assertion.
• 14929678 description "Gouttefarde, M., & Barrelet, C. (2024). D3.3 Preliminary report on the Cable robot autonomous control using Machine learning for litter identification. MAELSTROM Project. https://doi.org/10.5281/zenodo.14929678" assertion.
• 14930072 description "Ehrhorn, P., Iglesias, I., Vieira, L., & Sousa Pinto, I. (2021). D5.3 Definition of location for surface/water column removal device in the Porto region, Portugal. MAELSTROM Project. https://doi.org/10.5281/zenodo.14930072" assertion.
• 14931001 description "Rodriguez, M., & Gouttefarde, M. (2022). D3.1 Report on the cable robot design and teleoperated control. MAELSTROM Project. https://doi.org/10.5281/zenodo.14931001" assertion.
• 14931140 description "Gouttefarde, M., & Barrelet, C. (2024). D3.2 Report and videos about the cable robot control with shared autonomy. MAELSTROM Project. https://doi.org/10.5281/zenodo.14931140" assertion.
• 15544106 description "Iglesias, I., Vieira, L., Antunes, S., Kett, G., Fantinati, D. del O. A., Nogueira, S., Bio, A., Sousa-Pinto, I., Buschman, F. A., Mira Veiga, J., Pessoa, A., Zingariello, D., & Mule'Stagno, L. (2025). D5.4 Final Report on operation of the surface and water column removal technology in the Porto region. MAELSTROM Project. https://doi.org/10.5281/zenodo.15544106" assertion.
• 15546289 description "Ferrari, N., Fantin, A., Rodríguez Mijangos, M., Sallé, D., Herve, P.-E., Gorrotxategi, J., Oyarzabal, A., Culla, D., Gouttefarde, M., Creuze, V., Barrelet, C., Temperini, H. O., Petrizzo, A., MOSCHINO, V., Mesghez, S., Lahami, T., Lorenzetti, G., & Madricardo, F. (2025). D5.2 Final report on operation of the Seabed Cleaning System in Venice. MAELSTROM Project. https://doi.org/10.5281/zenodo.15546289" assertion.
• cdd7e89f-7013-45cd-9d15-00c4d7fe19fa description "The robotic seabed cleaning platform developed by TECNALIA, CNRS- LIRMM and “Servizi Tecnici”, consists in a floating platform which, through cables and winches, the seabed cleaning robot is attached. The structure is equipped with a set of sensors for underwater perception to control the robot and detect & identify the marine litter to be removed. Moreover, the robotic platform is characterized by two different tools that allow to collect the ML on the seabed: a drudge to suck up smaller litter and a gripper to grasps larger items like tires, parts of boats, fishing nets etc." assertion.
• document description "As a contribution to the development of new techniques to remove marine litter from the seabed of sees and oceans, the Robotic Seabed Cleaning Platform has been designed, built and experimented in the framework of the European Union project MAELSTROM. It es sentially consists of a oating platform that supports the base elements of a 6 degree-of-freedom cable-driven parallel robot actuated by eight winches. The mobile platform of this robot can work underwater and is equipped with sensors to control its underwater motions and to detect & identify marine litter. To achieve e cient and selective litter removal, an aspiration system and a gripper are installed on the CDPR underwater mobile platform." assertion.
• 5c2b7b95-a99c-4489-b0ac-f656a65b90f7 description "This objective supports the implementation of the UN SDG 14 Life Below Water, by addressing two major challenges: (i)Surface and Upper Water Column litter: Floating plastics carried by rivers and harbours currents must be intercepted and captured before they enter the oceans and either sink to the seabed or create gyres MAELSTROM will deploy an automated air-bubbles barrier installed in optimized locations to retrieve these floating items, and also contribute to the re-oxygenation of the rivers, harbours and lagoons. (ii)Seabed and Lower Water Column: For ML hotspots in coastal waters, MAELSTROM will provide a robotized cable robot capable of high efficiency removal of small and large debris on seabed and in the lower water column." assertion.
• 9bfe8543-c088-4745-95c9-1f582c516dc6 description "Hypermatrix size 2x2 blocks, block size 2x2 elements" assertion.
• 9bfe8543-c088-4745-95c9-1f582c516dc6 description "Darwin MacBook-Pro-Raul-2025.local 24.5.0 Darwin Kernel Version 24.5.0: Tue Apr 22 19:53:27 PDT 2025; root:xnu-11417.121.6~2/RELEASE_ARM64_T6041 arm64" assertion.
• 21921476-d31f-49fa-b4f0-abdc582278f8 description "COMPSs Workflow Provenance YAML configuration file" assertion.
• 7b8b4e93-106a-44fe-b0e3-1f947ef1cac6 description "Auxiliary File" assertion.
• 9fbd94eb-f8b7-4e2f-af79-641114ea8d32 description "COMPSs application Tasks profile" assertion.
• a5bed260-5529-40d5-b754-336c2dea98f0 description "COMPSs submission command line (runcompss / enqueue_compss), including flags and parameters passed to the application" assertion.
• c483c9d5-fe79-46d5-83ae-1f0396f27469 description "Main file of the COMPSs workflow source files" assertion.
• d4088ff7-ced1-4596-ba85-a02a0aca4eb1 description "The graph diagram of the workflow, automatically generated by COMPSs runtime" assertion.
• 5784402a-b47e-4560-b6ef-c9fecfef2115 description "The research object refers to the Livestock detection using DeepForest notebook published in the Environmental Data Science book." assertion.
• f8958193-a08c-4f9f-a26c-7bf3f640d76e description "Hypermatrix size 2x2 blocks, block size 2x2 elements" assertion.
• f8958193-a08c-4f9f-a26c-7bf3f640d76e description "Darwin MacBook-Pro-Raul-2025.local 24.5.0 Darwin Kernel Version 24.5.0: Tue Apr 22 19:53:27 PDT 2025; root:xnu-11417.121.6~2/RELEASE_ARM64_T6041 arm64" assertion.
• 5b331be1-dea5-4582-9bab-897dbe4cbd93 description "The graph diagram of the workflow, automatically generated by COMPSs runtime" assertion.
• 7e3ef2d9-73b9-41d0-b445-5aac6912eb2e description "COMPSs application Tasks profile" assertion.
• b49bdb09-698f-4bf6-93ef-44f232720598 description "Auxiliary File" assertion.
• e0f59e06-9bee-4ab6-96d5-97e709bfdad6 description "COMPSs submission command line (runcompss / enqueue_compss), including flags and parameters passed to the application" assertion.
• ea56f243-9655-42a5-82d6-05cd7e9a5541 description "COMPSs Workflow Provenance YAML configuration file" assertion.
• fbaadabd-93d9-4035-b944-5fab2d7ae783 description "Main file of the COMPSs workflow source files" assertion.
• 89827377-37be-432c-b61e-821c4807ab1a description "Hypermatrix size 2x2 blocks, block size 2x2 elements" assertion.
• 07404025-325b-4931-8d37-d317f6dbeaf4 description "Auxiliary File" assertion.
• 29503906-1bae-45e2-8dbf-158f3074b83a description "Main file of the COMPSs workflow source files" assertion.
• 6773bcdd-a3fd-4f39-a89f-31b8363a2d83 description "COMPSs application Tasks profile" assertion.
• b526ef0c-df7d-4c01-8e14-5da7577f3f05 description "COMPSs Workflow Provenance YAML configuration file" assertion.
• da5e44e7-91db-433a-b657-b1e5b979b177 description "The graph diagram of the workflow, automatically generated by COMPSs runtime" assertion.
• dfe0a450-8130-48b0-9c47-2d93eb85209b description "COMPSs submission command line (runcompss / enqueue_compss), including flags and parameters passed to the application" assertion.
• d5430aa5-7a8b-44fe-8d21-6a7c80ac36d4 description "# Galaxy Workflow Rerun Information **Workflow:** Climate Stripes **Execution Status:** scheduled **Executed:** 2025-05-24 11:15:41.585048 ## Workflow Inputs ### Formal Input Definitions - **ts_cities.csv** (File) ### Actual Input Files Used - **ts_cities.csv** - Format: `text/plain` - Path: `datasets/ts_cities.csv_31e7840b5aedca433fb349714141a239.tabular` ## Workflow Parameters - **input:** - __class__: `NoReplacement` - **adv:** - colormap: `RdBu_r` - format_date: `` - format_plot: `` - nxsplit: `None` - xname: `` - **ifilename:** - __class__: `ConnectedValue` - **title:** `My ScienceLive Stripes` - **variable:** `tg_anomalies_freiburg` ## Workflow Outputs ### Formal Output Definitions - **stripes.png** (File) ### Actual Output Files Generated - **stripes.png** - Format: `application/octet-stream` - Path: `datasets/stripes.png_31e7840b5aedca43c0a4f330c3d24460.png` ## Rerun Template To rerun this workflow: 1. **Workflow:** Climate Stripes 2. **Required inputs:** - ts_cities.csv (type: `File`) 3. **Parameters to set:** - input: - __class__: `NoReplacement` - adv: - colormap: `RdBu_r` - format_date: `` - format_plot: `` - nxsplit: `None` - xname: `` - ifilename: - __class__: `ConnectedValue` - title: `My ScienceLive Stripes` - variable: `tg_anomalies_freiburg` 4. **Expected outputs:** - stripes.png (type: `File`)" assertion.
• 3f513099-1a08-46a1-877e-3686194e9a25 description "library folders properties" assertion.
• 7086ff93-15c5-4c42-9189-7d84bdcc8518 description "export properties" assertion.
• 71ee97dc-10b8-4fd6-8187-ff6c9da64f90 description "invocation properties" assertion.
• a868f3bc-ec7a-4f58-9856-9c9afe7bc70e description "datasets provenance properties" assertion.
• aac2fe5c-5d6d-4ec5-8675-f864c5a4f36e description "datasets properties" assertion.
• c7f1c1fa-caa1-4d3f-8b81-9adf18090c74 description "implicit collection jobs properties" assertion.
• c891c902-f3d5-4ea8-b682-8553ea7ab434 description "libraries properties" assertion.
• de997230-e253-4ea1-8ef3-367cad87f52e description "collections properties" assertion.
• b3cb61d2-2f69-478a-8d99-b015043391d4 description "" assertion.
• f358985c-9db4-42f0-b063-48d0d154953a description "" assertion.
• d6ac4e94-edcb-4272-a58f-9f6bce8c7079 description "The objective is to achieve with societal engagement better understanding, reduction/removal of marine litter and plastics in a bottom up effort to support the MSFD, along with the Circular Economy Strategy and the European Strategy for Plastics in a Circular Economy. Citizens and local administrations will be targeted in order to raise their awareness about the ML issue and importance of prevention to avoid environmental damage and societal costs. This will be done with specific dissemination campaigns, including participatory and large scale clean up aimed at identifying and tracking ML with MAELSTROM app for an efficient disposal and treatment. The engagement requires people to think about plastic trash, citizen responsibility and circular economy potential. All these actions are expected to change the way they perceive ML, and how themselves can be part of change and make a difference." assertion.
• a31eb2c0-14c0-4a4b-95f5-8908cf4fd828 description "July 26, 2021 https://www.maelstrom-h2020.eu/maeldrop-4-many-types-of-plastics/" assertion.
• zenodo.14929727 description "Gomes, I. (2021). D9.1 Plan for Communication and Dissemination. MAELSTROM Project. https://doi.org/10.5281/zenodo.14929727" assertion.
• zenodo.14929837 description "Gomes, I. (2022). D9.3 First Interim communication and dissemination report. MAELSTROM Project. https://doi.org/10.5281/zenodo.14929837" assertion.
• zenodo.14930003 description "Gomes, I. (2023). D9.4 Second Interim communication and dissemination report. MAELSTROM Project. https://doi.org/10.5281/zenodo.14930003" assertion.
• zenodo.14930916 description "Gomes, I. (2022). D9.2 Final Version of the Plan for Communication and Dissemination. MAELSTROM Project. https://doi.org/10.5281/zenodo.14930916" assertion.
• zenodo.15545803 description "Gomes, I. (2025). D9.5 Final Communication and Dissemination Report. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545803" assertion.
• c8cb2eb7-8f64-44d4-910a-a2b7baf98b64 description "The objective is to support of the SDG 14 Life Below Water and the European Strategy for Plastics within a Circular Economy vision by coordinating with and integrating the efforts of projects under the same topic, as well as projects selected under other topics in H2020 for the reduction, removal and sustainable management of ML in the coastal areas. It is based upon intensive coordination and networking with best cases of blue technology for removal of ML for activities integration and joint demonstrations (BG-Blue Growth, the MSCA-Marie Sklodowska Curie Action; ERC-European Research Council; SME Instrument; CIRC – Circular Economy; LEIT-Leadership in enabling and industrial technologies; BBI JU-Bio-based Industries Joint Undertaking) for impact maximisation. This is in support of the Marine Scientific Research and Transfer of Marine Technology at EU level and in the framework of UNCLOS, actively contributing to the BlueMed Pilot action on a Healthy Plastic-free Mediterranean Sea." assertion.
• 14679311 description "Gomes, I., Mira Veiga, J., Iglesias, I., Vieira, L., Kett, G., SALLÉ, D., Pessoa, A., Nerantzis, E. A., Zingariello, D., Betteto, G., Poletto, D., MOSCHINO, V., & Madricardo, F. (2024). MAELSTROM Legacy Document. Zenodo. https://doi.org/10.5281/zenodo.14679311" assertion.
• 15495632 description "Kett, G., Vieira, L. R., Sousa Pinto, I., Iglesias, I., Antunes, S., & Nogueira, S. (2025). D7.1 Creation and Operationalization of a thematic Working Group on Marine Litter and Plastic Strategy. Zenodo. https://doi.org/10.5281/zenodo.15495632" assertion.
• 15544416 description "Vieira, L., Kett, G., Sousa-Pinto, I., Iglesias, I., Antunes, S., MOSCHINO, V., Betteto, G., & Nerantzis, E. A. (2024). D7.2 Best Practices Sheets Database. MAELSTROM Project. https://doi.org/10.5281/zenodo.15544416" assertion.
• 15544500 description "Gomes, I., Polo, L., Vieira, L., & Sousa Pinto, I. (2021). D7.3 Joint Strategy and Dissemination Plan of Networking Actions. MAELSTROM Project. https://doi.org/10.5281/zenodo.15544500" assertion.
• 15545625 description "Poletto, D., Senem Nurel, Z., Vieira, L. R., Kett, G., & Sousa-Pinto, I. (2024). D7.4 Unified Reports on Sideevents at the Business2Sea and at the International Venice Boat Show. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545625" assertion.
• 15640957 description "Madricardo, F. (2022). Policy Brief - 08 regulatory changes that can make marine litter removal and reintroduction in the economy viable at a large scale. MAELSTROM Project. https://doi.org/10.5281/zenodo.15640957" assertion.
• bc89e60b-9483-46fa-80c5-ba0f9c8dfec4 description "The objective is supporting the Circular Economy Strategy, the European Strategy for Plastics in a Circular Economy aiming at having all typologies of ML and plastics removed identified, sorted and reused. MAELSTROM will combine innovative processes to recover valuable material for a new life cycle, demonstrating that a sustainable plastics economy can be possible from marine litter and providing a strategic circular marine litter vision for the future. This will be pursued by involving diversified players in the plastic value chain and deploying a mix of ML treating technologies made of physical, chemical solutions. The conversion of solid waste feedstocks into chemical precursors, polymers, materials, etc. shall foster an ecosystem-based bio-industry, innovative manufacturing processes in line with the circular economy approach. The pyrolysis waste-to-energy plant will also produce primary power and 2nd generation fuel. This fuel will be utilized to co-supply MAELSTROM raft energy demands for the removal of seabed/water column ML. The set of ML derived products will be thoroughly analysed for new market prospects within a new industrial life cycle." assertion.
• j.eti.2024.103971 description "M.M. Parascanu, J. Clavell Díaz, M. Rodriguez Mijangos, M. Isasa Sarralde, D. Salle, A. Alonso Galdames, Life cycle assessment of an innovative seabed cleaning platform for marine litter removal in aquatic ecosystems, Environmental Technology & Innovation, Volume 37, 2025, 103971, ISSN 2352-1864, https://doi.org/10.1016/j.eti.2024.103971. (https://www.sciencedirect.com/science/article/pii/S2352186424004474) Abstract: Plastic consumption is projected to rise significantly over the coming decades, especially in developing economies, leading to increased plastic leakage into the environment and the accumulation of waste in ecosystems. Despite the urgent need to address this issue, the environmental implications of marine litter removal technologies have been largely unexplored. This paper addresses this gap by presenting the first comprehensive Life Cycle Assessment (LCA) of the Seabed Cleaning Platform, a novel cable-based underwater robot developed by TECNALIA to remove litter selectively and efficiently from the seabed and lower water column. The Seabed Cleaning Platform introduces significant advancements in marine litter removal by enabling a more efficient and cost-effective process. Its innovative design allows for selective and automated removal of identified debris, ranging from microplastics (>5 mm) to large items. Additionally, the system is designed to operate in a manner that benefits the marine ecosystem, mitigating the environmental impact of traditional clean-up efforts. The LCA provides an in-depth evaluation of the platform's environmental performance throughout its entire life cycle. Results indicate that the use and maintenance phases account for 70.9 % of the total environmental impact. Sensitivity analyses highlight optimization opportunities, such as increasing operational time and waste collection volume to reduce the environmental impact per unit of waste removed and replacing the generator with a smaller, more efficient model to minimize fuel consumption. This study marks an important step in applying LCA to emerging marine litter removal technologies. Unlike analyses focused exclusively on operational efficiency, this research quantifies the environmental trade-offs and scalability potential of the Seabed Cleaning Platform. These insights provide valuable information for improving the environmental performance of marine litter removal technologies and guide future developments in this field. Keywords: Life cycle assessment; Marine litter removal; Seabed cleaning platform; Cable robotics" assertion.
• 15544282 description "Nerantzis, E. A. (2024). D8.6 Public summary on the Exploitation Plan. MAELSTROM Project. https://doi.org/10.5281/zenodo.15544282" assertion.
• 15544342 description "Scarpa, M., & Sferra, D. (2024). D8.5 Public summary on Report on Costs Benefits Analysis. MAELSTROM Project. https://doi.org/10.5281/zenodo.15544342" assertion.
• 15545143 description "Anne-Sophie Høgh Mahler, Kærsgaard Hansen, C., Eltzholtz, J., Krogh Olsen, P., Bach Velling Villadsen, I., Betteto, G., & Garcia Arrieta, S. (2024). D6.6 Processed ML Quality assessment for marketisation. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545143" assertion.
• 15545179 description "Mendizabal, M., & Garcia, S. (2025). D6.3 Report on the marine thermoplastic recycling capabilities. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545179" assertion.
• 15545221 description "Anne-Sophie Høgh Mahler, Kærsgaard Hansen, C., Eltzholtz, J., Krogh Olsen, P., Strandgaard Borgbjerg, A. M., Grønbech Møller, M., Volsmann Simonsen, M., Bach Velling Villadsen, I., & Faussone, G. C. (2025). D6.5 Low temperature pyrolysis treatment(s) of collected ML. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545221" assertion.
• 15545289 description "Magdalena Parascanu, M., & Clavell Diaz, J. (2024). D6.7 Report on the life cycle assessment (LCA) of the MAELSTROM automatic systems and marine litter processing technologies. MAELSTROM Project. https://doi.org/10.5281/zenodo.15545289" assertion.
• 15546167 description "Betteto, G., Poletto, D., de Carolis, C., & Sferra, D. (2025). D6.4 Report on the ML processed through mechanical recycling for hard to recycle plastics and organic wastes. MAELSTROM Project. https://doi.org/10.5281/zenodo.15546167" assertion.
• 15e54fde-611f-49cc-8951-e15c650f0cb2 description "## Flooding in Saarland We showcase the usage of JupyterGIS for creating geographical maps showing the HQ 100 flooding zones in Saarland along with images from Wikimedia Commons. These notebooks showcase how to use JupyterGIS. We use JupyterGIS on the UseGalaxy.eu. The tool can be launched from [JupyterGIS in Galaxy Europe](https://usegalaxy.eu/root?tool_id=interactive_tool_jupytergis_notebook). Please prior to use it, register to [usegalaxy.eu](https://usegalaxy.eu/login/start) and authenticate yourself before starting it. To help new users get started, there are two tutorials available: - [Intro to JupyterGIS](https://jupytergis.readthedocs.io/en/latest/user_guide/tutorials/01-intro/index.html) a step-by-step guide for new users. - [Collaborative Features Tutorial](https://training.galaxyproject.org/training-material/topics/climate/tutorials/jupytergis_collaboration/tutorial.html) — a guide for exploring real-time editing and shared annotations. " assertion.
• 75bdf7ea-f6aa-4cab-8911-e59e6fda7732 description "Flood in Saarland with JupyterGIS." assertion.
• 563033_1_En_4_Fig5_HTML.png description "Example of monthly mean reference height (i.e., at 2 m) air temperature (TREFHT) expressed in kelvin obtained with CESM2.3 and corresponding to a typical situation in January 2000, starting from a global 1 grid which is progressively increased by a factor of 4 over the Arctic, and exhibits a further 2 resolution refinement over Greenland and Iceland." assertion.
• 978-3-031-86240-3_4 description "List all the nanopublications related to the paper with DOI: https://doi.org/10.1007/978-3-031-86240-3_4" assertion.
• 231a8eab-7612-4b18-b4d1-dd7cf68628cf description "Research Object related to the paper: Iaquinta, J., Fouilloux, A. (2025). Unlocking the Potential of Containers in Scientific Computing to Achieve Bitwise Reproducibility, Portability and Performance. In: Azab, A., Malkiewicz, T. (eds) Nordic e-Infrastructure Tomorrow. NeIC 2024. Communications in Computer and Information Science, vol 2398. Springer, Cham. https://doi.org/10.1007/978-3-031-86240-3_4" assertion.
• 5dc5cac2-af40-4ad8-aed5-84b9ce73e3e7 description "This folder contains the monthly reports" assertion.
• de0e7ad3-4e25-458b-b1ab-1889aaa4553c description "Folder containing the generated papers. The papers were generated by ChatGPT or other LLMs. All the generated documents used free plan e.g. the documents were generated at no cost." assertion.
• 06d1ede9-934b-4adf-bb9c-095250a5b0ae description "Version 1.0: We gave to GPT-4.1mini (free version) all the AIDA sentences generated for the paper 10.1007_978-3-031-86240-3_4 and asked to rewrite it following the template Abstract, Keywords, Introduction, Background, Discussion, Conclusion, References. We read the generated paper to spot any mistakes and we highlighted inconsistancies in yellow." assertion.
• 12d48518-fe23-4a16-bf0d-1219e0c8fc47 description "Version 2.0 generated by ChatGPT (April 2025, sikt.no). Could you write a scientific paper of 4 pages with the following sections “Abstract, Keywords, Introduction, Background, Discussion, Conclusion, References. ” with a text that needs to be long to be published in a good journal and the paper should be based on the following AIDA sentences that you will need to all references in the text (make sure to add all the AIDA sentences in the text) and add in the reference section. The reference section should list all the AIDA sentences so you need to make sure all of them are referenced in the generated text. ensure all the AIDA sentences are included and referenced properly. This will ensure completeness and meet the requirements for the publication.:" assertion.
• 35e7cfd3-44d6-4979-8322-347634114abf description "A bubble Barrier that removes litter from rivers is being applied in the Ave estuary (Portugal) in the framework of the MAELSTROM Project. In order to identify the location where the technology could possibly best be applied and to assess the impact of the litter removal on marine life, MAELSTROM makes use of numerical models. Facing the limited field data and absence of available models, we carried out field campaigns, set-up a hydrological model for the Ave river basin and set-up a hydrodynamic model for the estuarine region. The field studies included a bathymetric survey, short-term (12.5 hours) and long-term (several weeks) campaigns. Aiming to understand the temporal and spatial variation of the flow velocity in the estuary, and particularly in the area where the Bubble Barrier system is planned to be implemented, we have analysed observations from a boat sailing across the estuary (short-term), we have analysed observations at selected locations (long-term) and we have set-up a 3-dimensional (3D) hydrodynamic model to give insight in the flow velocity distribution. Only during the short-term campaigns the river discharge is known, which was relatively low during these campaigns. Since the river discharge is an important condition for the hydrodynamic model, we have only obtained maximal flow velocity maps for low river discharge. For higher river discharge we show a maximal flow velocity observed during a long-term campaign and we estimate maximal flow velocity based on an extreme river discharge." assertion.
• 6542c1af-16f4-4fc1-938e-f9de0557af88 description "The MAELSTROM Project performed a literature survey includes existing databases on marine litter data on the water column, sea floor, estuaries, rivers and beaches. Specifically, the European/Regional Seas review is based on existing publications while the study areas review is based on existing publications and raw data, when available. The review intends to provide the knowledge-base on the characteristics, sources and pathways of marine litter in the two demo sites of the lagoon of Venice (Italy) and the Ave River estuary (Portugal). Specifically, the review aims at: ● improving the understanding of the amounts and types of marine litter occurring in Europe and in particular in the study areas; ● improving the understanding of the main sources and pathways of marine litter in Europe and in particular in the study areas; ● supporting the definition of the input data and assumptions related to marine litter to be used in numerical models of marine litter spatial distribution. To achieve this objective, we assume the following constraints: ● the main focus is on macro-litter; ● the review has a geographic scope focused on the study sites; ● marine litter literature has been analysed to indicate the most probable sources and amount. Here the results related to the Adriatic Sea subregion that is characterised by the presence of many sources of marine litter, including large rivers, big coastal cities, touristic facilities, heavy shipping traffic, intense commercial fisheries and mussel farming." assertion.
• 66662522-48b0-47a1-b805-239300c81a8b description "An automated cable-robot on a platform that removes litter from the sea bed is being applied in demo sites near Venice (Italy) in the framework of the MAELSTROM Project. In order to identify the location where the technology could possibly best be applied and to assess the impact of the litter removal on marine life, MAELSTROM makes use of numerical models. The applied numerical tool consists of a three-dimensional hydrodynamic model that reproduces the water current evolution in the domain of the case study area. While the focus of the project is the Venice lagoon and the Gulf of Venice, the study covers the whole Adriatic Sea, including the sources of marine litter coming from the whole of the Adriatic coastline. The distribution of the marine litter in the Adriatic Sea was assessed by performing the numerical simulations, considering both the land based marine litter sources (rivers and cities), as well as marine sources (aquaculture) using the hydrodynamic model SHYFEM (for more information see the project deliverable D2.2 Numerical modelling and field campaigns to support litter removal at the demo sites)." assertion.
• a6291550-d05c-476b-a2c8-afa6d5651c70 description "The MAELSTROM Project performed a literature survey includes existing databases on marine litter data on the water column, sea floor, estuaries, rivers and beaches. Specifically, the European/Regional Seas review is based on existing publications while the study areas review is based on existing publications and raw data, when available. The review intends to provide the knowledge-base on the characteristics, sources and pathways of marine litter in the two demo sites of the lagoon of Venice (Italy) and the Ave River estuary (Portugal). Specifically, the review aims at: ● improving the understanding of the amounts and types of marine litter occurring in Europe and in particular in the study areas; ● improving the understanding of the main sources and pathways of marine litter in Europe and in particular in the study areas; ● supporting the definition of the input data and assumptions related to marine litter to be used in numerical models of marine litter spatial distribution. To achieve this objective, we assume the following constraints: ● the main focus is on macro-litter; ● the review has a geographic scope focused on the study sites; ● marine litter literature has been analysed to indicate the most probable sources and amount. Here the results related to the NW Portuguese coastal area." assertion.
• 2b7e42ca-0223-446d-b621-d1d55ff37602 description "Within the MAELSTROM project two complementary marine litter removal technologies are developed and tested. An automated seabed cleaning platform has been developed with a cable-robot able to remove marine litter from the seafloor at demo locations in the coastal area near Venice (Italy), and a Bubble Barrier system will be implemented to remove marine litter from the water column in the Ave estuary (Portugal). In order to select locations where the technologies can best be applied and to assess the impact of the litter removal on marine life, we have set-up and applied numerical models. Furthermore, results of field observations that were carried out in the framework of MAELSTROM are analysed and are put into context using the numerical modelling results." assertion.
• 74879f7d-039a-4e11-9382-2778955908aa description "Demo site 2" assertion.
• 772206d8-d680-4ed4-aa0f-a86482c5b428 description "Demo site 2" assertion.
• 14918765 description "Buschman, F. A., Iglesias, I., Ghezzo, M., McKiver, W., De Pascalis, F., Zaggia, L., Boisgontier, H., & Tiessen, M. (2023). D2.2 Numerical modelling and field campaigns to support litter removal at the demo sites. MAELSTROM Project. https://doi.org/10.5281/zenodo.14918765" assertion.
• 14920205 description "Ghezzo, M., MOSCHINO, V., Galvez, D., Mira Veiga, J., Bocci, M., Iglesias, I., Vieira, L., Sousa Pinto, I., Antunes, S. C., & Correia, A. M. (2021). D2.1 Report on the characterization of major sources of marine litter and macro-plastic in the demo sites. MAELSTROM Project. https://doi.org/10.5281/zenodo.14920205" assertion.

• first
• previous
• next