{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.4482323", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:20:53Z", "type": "Other", "title": "Video", "description": "Instruction video for recreating research results.", "keywords": ["Image processing", "Tutorial"], "contacts": [{"organization": "Bojana, Ivo\u0161evi\u0107", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4482323"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4482323", "name": "item", "description": "10.5281/zenodo.4482323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4482323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-30T00:00:00Z"}}, {"id": "10.5281/zenodo.7948399", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:07Z", "type": "Report", "title": "Farm management information systems as tools for revealing management zones inside the fields", "description": "INTRODUCTION and OBJECTIVES: There is a huge need to increase the productivity in agriculture to feed the world\u2019s growing population. However, this increase needs to be achieved in a sustainable way, without jeopardising the ecosystem and environment. Innovations in AgTech are accelerating this process and providing adequate solutions for optimisation of on-field decision-making, but they are often isolated and inaccessible to the farmers. The objective of our work was to design a comprehensive farm management system that takes scientific achievements and enables farmers to use them in their daily operations. MATERIAL and METHOD: In order to digitally transform the Serbian agriculture, we designed AgroSense farm management information system. It was launched in 2017 and has since gathered more than 20,000 users, whose total area equals one fourth of all farmland in Serbia. The platform has a number of modules for weather forecast, historical weather records, digital field books, satellite image processing etc., while the newest addition is the drone image processing module. This module allows 3rd party drone services to scan the fields and upload the data to the platform, after which, the images are processed and analysed. The analysis is directed towards zone management delineation, which is the first step in application of precision agriculture technologies. Zones are detected within the field as areas with homogeneous soil and elevation properties. This is done by applying k-means, an unsupervised machine learning model for clusterisation of data, i.e. pixels in this case. This algorithm minimises the intra-class variance (variance of pixels within the zone) and maximises the inter-class variance (variance between pixels from different classes. This zone delineation can be done on a pixel-level if the objective of zone delineation is e.g. choosing the right locations for soil sampling, or on the level of the tractor swath if the goal is e.g. the variable-rate application of fertiliser. The number of zones and the swath width are variable parameters, left to the user to choose, according to the size of the field, type of the equipment and other factors. RESULTS and CONCLUSIONS: The resulting platform was deployed in 2021 and tested on a number of users. It yielded excellent results and served for optimising the route and sampling location of unmanned ground vehicles (UGVs), characterisation of fields and variable application of fertiliser. Future work includes development of other algorithms for more complex image recognition tasks, such as row detection, leaf area assessment and disease/weed mapping.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "drones; precision agriculture; image processing; machine learning"], "contacts": [{"organization": "Marko, Oskar, Brdar, Sanja, Pani\u0107, Marko, Mini\u0107, Vladan, Pejak, Branislav, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7948399"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7948399", "name": "item", "description": "10.5281/zenodo.7948399", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7948399"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-16T00:00:00Z"}}, {"id": "10.5281/zenodo.8370178", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:11Z", "type": "Software", "title": "ConstantinosKanellopoulos/Real-ESSI_postprocessing_tools: Real-ESSI_postprocessing_tools", "description": "Postprocessing tools for the Real-ESSI Simulator software (http://real-essi.info/)", "keywords": ["Postprocessing tools", "Real-ESSI Simulator"], "contacts": [{"organization": "Kanellopoulos, Constantinos", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8370178"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8370178", "name": "item", "description": "10.5281/zenodo.8370178", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8370178"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-22T00:00:00Z"}}, {"id": "10.5281/zenodo.8370179", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:11Z", "type": "Software", "title": "ConstantinosKanellopoulos/Real-ESSI_postprocessing_tools: Real-ESSI_postprocessing_tools", "description": "Postprocessing tools for the Real-ESSI Simulator software (http://real-essi.info/)", "keywords": ["Postprocessing tools", "Real-ESSI Simulator"], "contacts": [{"organization": "Kanellopoulos, Constantinos", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8370179"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8370179", "name": "item", "description": "10.5281/zenodo.8370179", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8370179"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-22T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:37Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854", "name": "item", "description": "10.6084/m9.figshare.9942854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.6084/m9.figshare.9942854.v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:21:37Z", "type": "Journal Article", "created": "2019-10-05", "title": "Supplementary Information from Stabilizing gold nanoparticles for use in X-ray computed tomography imaging of soil systems", "description": "This investigation establishes a system of gold nanoparticles that show good colloidal stability as an X-ray computed tomography (XCT) contrast agent under soil conditions. Gold nanoparticles offer numerous beneficial traits for experiments in biology including: comparatively minimal phytotoxicity, X-ray attenuation of the material and the capacity for functionalization. However, soil salinity, acidity and surface charges can induce aggregation and destabilize gold nanoparticles, hence in biomedical applications polymer coatings are commonly applied to gold nanoparticles to enhance stability in the <i>in vivo</i> environment. Here we first demonstrate non-coated nanoparticles aggregate in soil-water solutions. We then show coating with a polyethylene glycol (PEG) layer prevents this aggregation. To demonstrate this, PEG-coated nanoparticles were drawn through flow columns containing soil and were shown to be stable; this is in contrast with control experiments using silica and alumina-packed columns. We further determined that a suspension of coated gold nanoparticles which fully saturated soil maintained stability over at least 5 days. Finally, we used time resolved XCT imaging and image based models to approximate nanoparticle diffusion as similar to that of other typical plant nutrients diffusing in water. Together, these results establish the PEGylated gold nanoparticles as potential contrast agents for XCT imaging in soil.", "keywords": ["FOS: Computer and information sciences", "Geophysics", "80106 Image Processing", "Biological Engineering", "FOS: Earth and related environmental sciences"], "contacts": [{"organization": "Scotson, Callum P., Munoz-Hernando, Maria, Duncan, Simon J., Siul A. Ruiz, Keyes, Samuel D., Veelen, Arjen Van, Dunlop, Iain E., Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.6084/m9.figshare.9942854.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Royal%20Society%20Open%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.6084/m9.figshare.9942854.v1", "name": "item", "description": "10.6084/m9.figshare.9942854.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.6084/m9.figshare.9942854.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10261/375649", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:53Z", "type": "Journal Article", "created": "2024-08-26", "title": "Building a solid foundation: advancing evidence synthesis in agri-food systems science", "description": "<p>Enhancing the reliability of literature reviews and evidence synthesis is crucial for advancing the transformation of agriculture and food (agri-food) systems as well as for informed decisions and policy making. In this perspective, we argue that evidence syntheses in the field of agri-food systems research often suffer from a suite of methodological limitations that substantially increase the risk of bias, i.e., publication and selection bias, resulting in unreliable and potentially flawed conclusions and, consequently, poor decisions (e.g., policy direction, investment, research foci). We assessed 926 articles from the Collaboration for Environmental Evidence Database of Evidence Reviews (CEEDER) and recent examples from agri-food systems research to support our reasoning. The analysis of articles from CEEDER (n\uffe2\uff80\uff89=\uffe2\uff80\uff89926) specifically indicates poor quality (Red) in measures to minimize subjectivity during critical appraisal (98% of all reviews), application of the eligibility criteria (97%), cross-checking of extracted data by more than one reviewer (97%), critical appraisal of studies (88%), establishment of an a priori method/protocol (86%), and transparent reporting of eligibility decisions (65%). Additionally, deficiencies (Amber) were found in most articles (&amp;gt;50%) regarding the investigation and discussion of variability in study findings (89%), comprehensiveness of the search (78%), definition of eligibility criteria (72%), search approach (64%), reporting of extracted data for each study (59%), consideration and discussion of the limitations of the synthesis (56%), documentation of data extraction (54%) and regarding the statistical approach (52%). To enhance the quality of evidence synthesis in agri-food science, review authors should use tried-and-tested methodologies and publish peer-reviewed a priori protocols. Training in evidence synthesis methods should be scaled, with universities playing a crucial role. It is the shared duty of research authors, training providers, supervisors, reviewers, and editors to ensure that rigorous and robust evidence syntheses are made available to decision-makers. We argue that all these actors should be cognizant of these common mistakes to avoid publishing unreliable syntheses. Only by thinking as a community can we ensure that reliable evidence is provided to support appropriate decision-making in agri-food systems science.</p", "keywords": ["Agricultura--Aspectes econ\u00f2mics", "bias", "330", "systematic reviews", "610", "Ressenyes sistem\u00e0tiques (Investigaci\u00f3 m\u00e8dica)", "01 natural sciences", "Food processing and manufacture", "12. Responsible consumption", "03 medical and health sciences", "0302 clinical medicine", "Blas", "TX341-641", "Agri-food systems", "reproducibility", "0105 earth and related environmental sciences", "Agriculture--Economic aspects", "2. Zero hunger", "Nutrition. Foods and food supply", "agri-food systems", "Sustainable agriculture", "evidence synthesis", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria", "Agriculture", "Systematic reviews", "TP368-456", "Nutrition--Environmental aspects", "Reproducibility", "sustainable agriculture", "Evidence synthesis", "Evidence syntheses"]}, "links": [{"href": "https://doi.org/10261/375649"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Sustainable%20Food%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/375649", "name": "item", "description": "10261/375649", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/375649"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-26T00:00:00Z"}}, {"id": "10400.5/97452", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:21:56Z", "type": "Journal Article", "created": "2024-08-15", "title": "Linking drivers of food insecurity and ecosystem services in Africa", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Food insecurity is a multidimensional and intricate problem, known to have significant implications for individuals, communities, and countries worldwide. Africa has become the continent that is experiencing this uncertainty the most. Food Security (FS) encompasses several aspects such as availability, accessibility, nutrient use, and supply system stability with time and, more recently, other obliges to governance/agency and sustainability. Knowing the interconnection between these aspects and the Ecosystems Services (ES) and understanding the relationship and interactions between FS and ES is important. Moreover, this knowledge may contribute to supporting policies that promote long-term sustainable and secure food systems. Hereby, a conceptual framework is presented, that examines interactions between food insecurity drivers and ecosystem change drivers and the combined influence on ES. Our review further introduces existing trade-offs between ES on account of agricultural intensification vs. key existing strategies to promote sustainable agricultural production. These strategies include climate-smart agriculture, sustainably managed land, and effective handling of water resources. In the end, the potential of Payment for Ecosystem Services (PES), as a suitable approach to ensuring these strategies are adopted, especially in African countries where sustainable financial incentives are currently under-explored is discussed. In resume, this review aims to make a conceptual contribution to understanding how drivers of food insecurity influence drivers of ecosystem changes, the impact of these influences on the services of ecosystems, and how sustainable agro approaches and PES introduction can help to reduce such negative impacts.</p></article>", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Nutrition. Foods and food supply", "1. No poverty", "food security", "TP368-456", "15. Life on land", "Food processing and manufacture", "12. Responsible consumption", "03 medical and health sciences", "13. Climate action", "sustainable agriculture intensification", "smallholder farmers", "TX341-641", "payment for ecosystem services", "climate change adaptation"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10400.5/97452/1/fsufs-08-1272332%20%281%29.pdf"}, {"href": "https://doi.org/10400.5/97452"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Sustainable%20Food%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10400.5/97452", "name": "item", "description": "10400.5/97452", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10400.5/97452"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-15T00:00:00Z"}}, {"id": "20.500.14243/514127", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:22:40Z", "type": "Journal Article", "created": "2023-09-07", "title": "Recent advances in bio-based functional additives for polymers", "description": "In recent decades, the strong global concern on depletion of fossil fuel and the environmental impact of oil-based compounds has pushed towards more sustainable approaches in the development of polymer-based materials. This interest is driven by the need of a more sustainable economy and a lower dependency on fossil fuels. In this frame, the replacement of synthetic additives with natural compounds in polymer commodities is progressively taking place. Additionally, according to forecasts, the production of bio-plastics will grow exponentially in the near future. However, these materials may exhibit poor physical and mechanical properties regarding processability and end-use, which can limit their potential for applications. Therefore, academic and industrial communities are pushing their interest in fully bio-based formulations with improved performance, and tailored for specific applications, ranging from packaging to biomedicine. This review presents the most recent advances in research and development of bio-based functional additives for polymeric materials. For each type of additive, both the scientific fundamentals and the technological aspects are encompassed, with an emphasis on the current commercially available bio-based additives and their role in market uptake of environmentally friendly products. Finally, considerations about environmental, health, regulatory, and economic issues related to the use of bio-additives in plastic materials are also addressed.", "keywords": ["Processing aids", "Economic and legislative issues", "Melt stabilizers", "Antimicrobials", "Plasticizers", "Functional additives", "Bio-based polymer additives", "Compatibilizers", "Sustainability and safety", "Flame retardants", "Antioxidants"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/514127/1/1-s2.0-S0079642523001184-main%281%29.pdf"}, {"href": "https://doi.org/20.500.14243/514127"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Progress%20in%20Materials%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/514127", "name": "item", "description": "20.500.14243/514127", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/514127"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-01T00:00:00Z"}}, {"id": "2108.01469", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:45Z", "type": "Report", "title": "Creation and Detection of German Voice Deepfakes", "description": "Synthesizing voice with the help of machine learning techniques has made rapid progress over the last years [1] and first high profile fraud cases have been recently reported [2]. Given the current increase in using conferencing tools for online teaching, we question just how easy (i.e. needed data, hardware, skill set) it would be to create a convincing voice fake. We analyse how much training data a participant (e.g. a student) would actually need to fake another participants voice (e.g. a professor). We provide an analysis of the existing state of the art in creating voice deep fakes, as well as offer detailed technical guidance and evidence of just how much effort is needed to copy a voice. A user study with more than 100 participants shows how difficult it is to identify real and fake voice (on avg. only 37 percent can distinguish between real and fake voice of a professor). With a focus on German language and an online teaching environment we discuss the societal implications as well as demonstrate how to use machine learning techniques to possibly detect such fakes.", "keywords": ["FOS: Computer and information sciences", "Computer Science - Machine Learning", "Sound (cs.SD)", "Computer Science - Cryptography and Security", "4. Education", "05 social sciences", "02 engineering and technology", "16. Peace & justice", "Computer Science - Sound", "Machine Learning (cs.LG)", "Audio and Speech Processing (eess.AS)", "0202 electrical engineering", " electronic engineering", " information engineering", "FOS: Electrical engineering", " electronic engineering", " information engineering", "Cryptography and Security (cs.CR)", "Electrical Engineering and Systems Science - Audio and Speech Processing", "0505 law"], "contacts": [{"organization": "Barnekow, Vanessa, Binder, Dominik, Kromrey, Niclas, Munaretto, Pascal, Schaad, Andreas, Schmieder, Felix,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2108.01469"}, {"rel": "self", "type": "application/geo+json", "title": "2108.01469", "name": "item", "description": "2108.01469", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2108.01469"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "2305.00815", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:22:51Z", "type": "Journal Article", "created": "2023-10-18", "title": "Asymmetric spoof-fluid-spoof acoustic waveguide and its application as a  CO2  sensor", "description": "Open AccessWe study pressure acoustic propagation in asymmetric spoof-fluid-spoof acoustic waveguides and its potential application in acoustic gas sensors. First, a stable and efficient analytical method is established for fast calculation of the dispersion curves based on spectral expansion and enforcement of continuity between segments at suitable collocation points. The analysis is validated by a commercial finite element software. The geometric design of the waveguide is then optimized for the emergence of a nearly-flat dispersion curve associated with vertical geometric asymmetry. The waveguide is fabricated using 3D printing technology and the measurement results corroborate the numerical simulations. Based on the nearly-flat dispersion curve supported by this waveguide, a CO$_2$ sensor is proposed allowing to relate the phase difference measured between two points in the waveguide to the composition of the gas in the waveguide. The proposed sensor is experimentally validated in a controlled environment and the measurement results match the computational predictions well. The sensor is robust with respect to noise and signal-recording duration due to fast phase measurements and shows high sensitivity to gas concentration due to reliance on the second, nearly-flat, dispersion curve. In addition, the sensor is label-free and low-cost, while exhibiting rapid response, low-maintenance requirements and potential for measurements in a wide range of CO$_2$ concentrations without saturation issues.", "keywords": ["Signal Processing (eess.SP)", "FOS: Electrical engineering", " electronic engineering", " information engineering", "FOS: Physical sciences", "Physics - Applied Physics", "Applied Physics (physics.app-ph)", "Electrical Engineering and Systems Science - Signal Processing"]}, "links": [{"href": "https://doi.org/2305.00815"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Physical%20Review%20Applied", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2305.00815", "name": "item", "description": "2305.00815", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2305.00815"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-18T00:00:00Z"}}, {"id": "2750197518", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-08-24T16:22:58Z", "type": "Journal Article", "created": "2017-08-24", "title": "Sparse Recovery in Magnetic Resonance Imaging With a Markov Random Field Prior", "description": "Recent research in compressed sensing of magnetic resonance imaging (CS-MRI) emphasizes the importance of modeling structured sparsity, either in the acquisition or in the reconstruction stages. Subband coefficients of typical images show certain structural patterns, which can be viewed in terms of fixed groups (like wavelet trees) or statistically (certain configurations are more likely than others). Wavelet tree models have already demonstrated excellent performance in MRI recovery from partial data. However, much less attention has been given in CS-MRI to modeling statistically spatial clustering of subband data, although the potentials of such models have been indicated. In this paper, we propose a practical CS-MRI reconstruction algorithm making use of a Markov random field prior model for spatial clustering of subband coefficients and an efficient optimization approach based on proximal splitting. The results demonstrate an improved reconstruction performance compared with both the standard CS-MRI methods and the recent related methods.", "keywords": ["Mice", "Image Processing", " Computer-Assisted", "0202 electrical engineering", " electronic engineering", " information engineering", "Animals", "Brain", "Humans", "02 engineering and technology", "Magnetic Resonance Imaging", "Algorithms", "Markov Chains"], "contacts": [{"organization": "Marko Pani\u0107, Jan Aelterman, Vladimir Crnojevi\u0107, Aleksandra Pi\u017eurica,", "roles": ["creator"]}]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/42/8053927/08016375.pdf?arnumber=8016375"}, {"href": "https://doi.org/2750197518"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Medical%20Imaging", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2750197518", "name": "item", "description": "2750197518", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2750197518"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "28858789", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-08-24T16:23:02Z", "type": "Journal Article", "created": "2017-08-24", "title": "Sparse Recovery in Magnetic Resonance Imaging With a Markov Random Field Prior", "description": "Recent research in compressed sensing of magnetic resonance imaging (CS-MRI) emphasizes the importance of modeling structured sparsity, either in the acquisition or in the reconstruction stages. Subband coefficients of typical images show certain structural patterns, which can be viewed in terms of fixed groups (like wavelet trees) or statistically (certain configurations are more likely than others). Wavelet tree models have already demonstrated excellent performance in MRI recovery from partial data. However, much less attention has been given in CS-MRI to modeling statistically spatial clustering of subband data, although the potentials of such models have been indicated. In this paper, we propose a practical CS-MRI reconstruction algorithm making use of a Markov random field prior model for spatial clustering of subband coefficients and an efficient optimization approach based on proximal splitting. The results demonstrate an improved reconstruction performance compared with both the standard CS-MRI methods and the recent related methods.", "keywords": ["Mice", "Image Processing", " Computer-Assisted", "0202 electrical engineering", " electronic engineering", " information engineering", "Animals", "Brain", "Humans", "02 engineering and technology", "Magnetic Resonance Imaging", "Algorithms", "Markov Chains"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/42/8053927/08016375.pdf?arnumber=8016375"}, {"href": "https://doi.org/28858789"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Transactions%20on%20Medical%20Imaging", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "28858789", "name": "item", "description": "28858789", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/28858789"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "3130873339", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:23Z", "type": "Journal Article", "created": "2021-02-13", "title": "Plant-environment microscopy tracks interactions of Bacillus subtilis with plant roots across the entire rhizosphere", "description": "Abstract<p>Our understanding of plant-microbe interactions in soil is limited by the difficulty of observing processes at the microscopic scale throughout plants\uffe2\uff80\uff99 large volume of influence. Here, we present the development of 3D live microscopy for resolving plant-microbe interactions across the environment of an entire seedling growing in a transparent soil in tailor-made mesocosms, maintaining physical conditions for the culture of both plants and microorganisms. A tailor made dual-illumination light-sheet system acquired scattering signals from the plant whilst fluorescence signals were captured from transparent soil particles and labelled microorganisms, allowing the generation of quantitative data on samples approximately 3600 mm3in size with as good as 5 \uffce\uffbcm resolution at a rate of up to one scan every 30 minutes. The system tracked the movement ofBacillus subtilispopulations in the rhizosphere of lettuce plants in real time, revealing previously unseen patterns of activity. Motile bacteria favoured small pore spaces over the surface of soil particles, colonising the root in a pulsatile manner. Migrations appeared to be directed towards the root cap, the point \uffe2\uff80\uff9cfirst contact\uffe2\uff80\uff9d, before subsequent colonisation of mature epidermis cells. Our findings show that microscopes dedicated to live environmental studies present an invaluable tool to understand plant-microbe interactions.</p", "keywords": ["0301 basic medicine", "570", "Microscopy", "Silicon", "0303 health sciences", "Temperature", "root-microbe interactions", "Equipment Design", "Biological Sciences", "Environment", "15. Life on land", "Plant Roots", "630", "Fluorescence", "Soil", "03 medical and health sciences", "Seedlings", "Calibration", "Rhizosphere", "Image Processing", " Computer-Assisted", "environmental imaging", "rhizosphere", "Soil Microbiology", "Bacillus subtilis", "Lactuca"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/178939/18/e2109176118.full.pdf"}, {"href": "https://pnas.org/doi/pdf/10.1073/pnas.2109176118"}, {"href": "https://doi.org/3130873339"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3130873339", "name": "item", "description": "3130873339", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3130873339"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-13T00:00:00Z"}}, {"id": "3081110786", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:23:18Z", "type": "Journal Article", "created": "2020-08-21", "title": "A Decision Support Model for Assessing the Water Regulation and Purification Potential of Agricultural Soils Across Europe", "description": "Water regulation and purification (WR) function is defined as \u201cthe capacity of the soil to remove harmful compounds and the capacity of the soil to receive, store and conduct water for subsequent use and to prevent droughts, flooding and erosion.\u201d It is a crucial function that society expects agricultural soils to deliver, contributing to quality water supply for human needs and in particular for ensuring food security. The complexity of processes involved and the intricate tradeoff with other necessary soil functions requires decision support tools for best management of WR function. However, the effects of farm and soil management practices on the delivery of the WR function has not been fully addressed by decision support tools for farmers. This work aimed to develop a decision support model for the management of the WR function performed by agricultural soils. The specific objectives of this paper were (i) to construct a qualitative decision support model to assess the water regulation and purification capacity of agricultural soils at field level, to (ii) conduct sensitivity analysis of the model; and (iii) to validate the model with independent empirical data. The developed decision support model for WR is a hierarchical qualitative model with 5 levels and has 27 basic attributes describing the soil (S), environment (E), and management (M) attributes of the field site to be assessed. The WR model is composed of 3 sub-models concerning (1) soil water storage, (2) P and sediment loss in runoff, and (3) N leaching in percolating water. The WR decision support model was validated using a representative dataset of 94 field sites from across Europe and had an overall accuracy of 75% when compared to the empirically derived values across these sites. This highly accurate, reliable, and useful decision support model for assessing the capacity of agricultural soils to perform the WR function can be used by farmers and advisors help manage and protect their soil resources for the future. This model has also been incorporated into the Soil Navigator decision support tool which provides simultaneous assessment of the WR function and other important soil functions for agriculture.", "keywords": ["2. Zero hunger", "decision support tool", "Nutrition. Foods and food supply", "food security", "04 agricultural and veterinary sciences", "soil functions", "TP368-456", "15. Life on land", "water quality", "01 natural sciences", "INCREASE", "Food processing and manufacture", "6. Clean water", "climate change", "13. Climate action", "EXTREME EVENTS", "water regulation", "11. Sustainability", "MANAGEMENT", "0401 agriculture", " forestry", " and fisheries", "TX341-641", "water purification", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/3081110786"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Sustainable%20Food%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3081110786", "name": "item", "description": "3081110786", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3081110786"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-21T00:00:00Z"}}, {"id": "PMC8640753", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:25:00Z", "type": "Journal Article", "created": "2021-02-13", "title": "Plant-environment microscopy tracks interactions of Bacillus subtilis with plant roots across the entire rhizosphere", "description": "Abstract<p>Our understanding of plant-microbe interactions in soil is limited by the difficulty of observing processes at the microscopic scale throughout plants\uffe2\uff80\uff99 large volume of influence. Here, we present the development of 3D live microscopy for resolving plant-microbe interactions across the environment of an entire seedling growing in a transparent soil in tailor-made mesocosms, maintaining physical conditions for the culture of both plants and microorganisms. A tailor made dual-illumination light-sheet system acquired scattering signals from the plant whilst fluorescence signals were captured from transparent soil particles and labelled microorganisms, allowing the generation of quantitative data on samples approximately 3600 mm3in size with as good as 5 \uffce\uffbcm resolution at a rate of up to one scan every 30 minutes. The system tracked the movement ofBacillus subtilispopulations in the rhizosphere of lettuce plants in real time, revealing previously unseen patterns of activity. Motile bacteria favoured small pore spaces over the surface of soil particles, colonising the root in a pulsatile manner. Migrations appeared to be directed towards the root cap, the point \uffe2\uff80\uff9cfirst contact\uffe2\uff80\uff9d, before subsequent colonisation of mature epidermis cells. Our findings show that microscopes dedicated to live environmental studies present an invaluable tool to understand plant-microbe interactions.</p", "keywords": ["0301 basic medicine", "570", "Silicon", "Environment", "Plant Roots", "630", "Fluorescence", "Soil", "03 medical and health sciences", "Image Processing", " Computer-Assisted", "Soil Microbiology", "root\u2013microbe interactions", "Microscopy", "0303 health sciences", "Temperature", "root-microbe interactions", "Equipment Design", "Biological Sciences", "15. Life on land", "Seedlings", "Calibration", "Rhizosphere", "environmental imaging", "rhizosphere", "Bacillus subtilis", "Lactuca"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/178939/18/e2109176118.full.pdf"}, {"href": "https://pnas.org/doi/pdf/10.1073/pnas.2109176118"}, {"href": "https://doi.org/PMC8640753"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC8640753", "name": "item", "description": "PMC8640753", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8640753"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-13T00:00:00Z"}}, {"id": "50|od______2659::800b05ba312a905fd45a3767b555ffe1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:52Z", "type": "Dataset", "title": "Microfluidic study in a meter-long reactive path reveals how the medium's structural heterogeneity shapes MICP-induced biocementation", "description": "This folder includes processed images and image analysis algorithm for the publication 'Microfluidic study in a meter-long reactive path reveals how the medium\u2019s structural heterogeneity shapes MICP-induced biocementation'. Each folder contains the results of image processing OBJ. Color explanation white: pore fluid, blue: bacteria, red: crystals, black: solid Numbering xy shows the id number of position t shows the id number of the time point Metadata Metadata extracted from microscopes during image acquisitions are provided in.txt format \u00a0 a .txt file is included showing the time of image acquisition in the first column the excel file shows the distance from injection point where images were captured", "keywords": ["microfluidics", " Microbially Induced Calcite Precipitation", " MICP", " image processing", " structural heterogeneity"], "contacts": [{"organization": "Ariadni Elmaloglou, Dimitrios Terzis, Pietro De Anna, Lyesse Laloui,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::800b05ba312a905fd45a3767b555ffe1"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::800b05ba312a905fd45a3767b555ffe1", "name": "item", "description": "50|od______2659::800b05ba312a905fd45a3767b555ffe1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::800b05ba312a905fd45a3767b555ffe1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-07T00:00:00Z"}}, {"id": "50|od______2659::75ce3208bbf8bd77cc60507730caaff3", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:23:52Z", "type": "Dataset", "title": "Microfluidic study in a meter-long reactive path reveals how the medium's structural heterogeneity shapes MICP-induced biocementation", "description": "This folder includes processed images and image analysis algorithm for the publication 'Microfluidic study in a meter-long reactive path reveals how the medium\u2019s structural heterogeneity shapes MICP-induced biocementation'.   Each folder contains the results of image processing OBJ.   Color explanation   white: pore fluid, blue: bacteria, red: crystals, black: solid   Numbering   xy shows the id number of position   t shows the id number of the time point   Metadata   Metadata extracted from microscopes during image acquisitions are provided in.txt format   \u00a0   a .txt file is included showing the time of image acquisition in the first column   the excel file shows the distance from injection point where images were captured", "keywords": ["microfluidics", " Microbially Induced Calcite Precipitation", " MICP", " image processing", " structural heterogeneity"], "contacts": [{"organization": "Ariadni Elmaloglou, Dimitrios Terzis, Pietro De Anna, Lyesse Laloui,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::75ce3208bbf8bd77cc60507730caaff3"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::75ce3208bbf8bd77cc60507730caaff3", "name": "item", "description": "50|od______2659::75ce3208bbf8bd77cc60507730caaff3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::75ce3208bbf8bd77cc60507730caaff3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-07T00:00:00Z"}}, {"id": "7d17628cc22c5a84c405669037b92bc8", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-24T16:24:23Z", "type": "Report", "title": "Characterization of fibronectin networks using graph-based representations of the fibers from 2D confocal images", "description": "Open AccessA major constituent of the Extracellular Matrix is a large protein called the Fibronectin (FN). Cellular FN is organized in fibrillar networks and can be assembled differently in the presence of two Extra Domains, EDA and EDB. Our objective was to develop numerical quantitative biomarkers to characterize the geometrical organization of the four FN variants (that differ by the inclusion/exclusion of EDA/EDB) from 2D confocal microscopy images, and to compare sane and cancerous tissues. First, we showed through two classification pipelines, based on curvelet features and deep learning framework, that the FN variants can be distinguished with a similar performance to that of a human annotator. We constructed a graph-based representation of the fibers, which were detected using Gabor filters. Graphspecific attributes were employed to classify the variants, proving that the graph representation embeds relevant information from the confocal images. Furthermore, we identified various techniques capable to differentiate the graphs, allowing us to compare the FN variants quantitatively and qualitatively. Performance analysis using toy graphs showed that the methods, which are based on graph matching and optimal transport, can meaningfully compare graphs. Using the graph-matching framework, we proposed different methodologies for defining the prototype graph, representative of a certain FN class. Additionally, the graph matching served as a tool to compute parameter deformation maps between the variants. These deformation maps were analyzed in a statistical framework showing whether or not the variation of the parameters can be explained by the variance within the same class.", "keywords": ["Appariement de graphes", "Traitement d\u2019images", "Extracellular matrix", "Statistical parametric maps", "Cartes statistiques des parametres", "Image processing", "Matrice extracellulaire", "Machine learning", "Fibronectine", "Apprentissage machine", "Fibronectin", "Graph-matching", "Cancer", "[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing"], "contacts": [{"organization": "Grapa, Anca-Ioana", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/7d17628cc22c5a84c405669037b92bc8"}, {"rel": "self", "type": "application/geo+json", "title": "7d17628cc22c5a84c405669037b92bc8", "name": "item", "description": "7d17628cc22c5a84c405669037b92bc8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7d17628cc22c5a84c405669037b92bc8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "PMC8963283", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:25:00Z", "type": "Journal Article", "created": "2022-01-26", "title": "GenomeTornadoPlot: a novel R package for CNV visualization and focality analysis", "description": "Abstract                                   Motivation                   <p>Analysis of focal copy number variations (CNVs) is highly relevant for cancer research, as they pinpoint driver genes. More specifically, due to selective pressure oncogenes and tumor suppressor genes are more often affected by these events than neighboring passengers. In cases where multiple candidates co-reside in a genomic locus, careful comparison is required to either identify multigenic minimally deleted regions of synergistic co-mutations, or the true single driver gene. The study of focal CNVs in large cancer genome cohorts requires specialized visualization and statistical analysis.</p>                                                   Results                   <p>We developed the GenomeTornadoPlot R-package which generates gene-centric visualizations of CNV types, locations and lengths from cohortwise NGS data. Furthermore, the software enables the pairwise comparison of proximate genes to identify co-mutation patterns or driver-passenger hierarchies. The visual examination provided by GenomeTornadoPlot is further supported by adaptable local and global focality scoring. Integrated into the GenomeTornadoPlot R-Package is the comprehensive PCAWG database of CNVs, comprising 2976 cancer genome entities from 46 cohorts of the Pan-cancer Analysis of Whole Genomes project. The GenomeTornadoPlot R-package can be used to perform exploratory or hypothesis-driven analyses on the basis of the PCAWG data or in combination with data provided by the user.</p>                                                   Availability and implementation                   <p>GenomeTornadoPlot is written in R script and released via github: &amp;lt;https://github.com/chenhong-dkfz/GenomeTornadoPlot/&amp;gt;. The package is under the license of GPL-3.0.</p>", "keywords": ["570", "DNA Copy Number Variations", "ddc-570", "Genomics", "Oncogenes", "004 Data processing Computer science", "Software", "004", "570 Life sciences", "ddc-004", "3. Good health"]}, "links": [{"href": "https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://archiv.ub.uni-heidelberg.de/volltextserver/34483/1/btac037.pdf"}, {"href": "https://academic.oup.com/bioinformatics/article-pdf/38/7/2036/49009547/btac037.pdf"}, {"href": "https://doi.org/PMC8963283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinformatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC8963283", "name": "item", "description": "PMC8963283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC8963283"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-31T00:00:00Z"}}, {"id": "f30cf414-2a45-4eba-b905-c7c771485c1d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.37, 4.33], [11.37, 6.26], [13.08, 6.26], [13.08, 4.33], [11.37, 4.33]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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MCD14DL and NRT; Active data"}, {"id": "MCD64A1 data; Burned data; image filtering"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Africa"}, {"id": "Cameroon"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-30", "type": "Dataset", "created": "2024-08-20", "language": "eng", "title": "MODIS fire data (active fire and burned area) from 2003 to 2023 in Yoko and Nanga-Eboko municipalities in the central region of Cameroon", "description": "In this study, we used the monthly time series of medium spatial resolution remote sensing images (2003 to 2023) operated by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. All images were processed on the Google Earth Engine platform (https://code.earthengine.google.com). GEE is a scalable, cloud-based geospatial retrieval and processing platform that offers free in-cloud data access, processing, and administration. The MODIS product used for burned area assessment was from collection 6.1.  The images of the burned area (MCD64A1) and active fire (MCD14DL and NRT) were computed from https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1 and https://developers.google.com/earth-engine/datasets/catalog/FIRMS,  In this study, over a 20-year study period (2003 to 2023), 252 images were processed at a rate of one image per month for the burned area through the GEE platform when setting up the code. Based on this information, a technique for processing, evaluating, and displaying geodata on forest fires and their consequences was created. The approach consists of four (4) main parts in this study, which are: acquiring and loading input data from publicly available geographic information web services (http://diva-gis.org/datadown)(Step1); pre-processing (filtering) of multi-channel satellite images, computation of indexed images (Step2); thresholding and saving the original data and outcomes in cloud storage (Step3) and then exportation in GIS for geoprocessing (Step3). At the end of the processing, the metadata is composed of data in shapefile format of the monthly and annual burnt areas over the period 2003-2023 as well as those of the active fires. All the data has been re-structured in an Excel file with the appropriate area and number of active points.\nDescription of downloadable files: The single files for burned area mBA[year] contain the characteristics of the fire intensity and the occurrence. mBA[year]_Dissolve contain only one information about the area. \nThe supplemental material contains the statistics of the burned area and active fire.", "formats": [{"name": "CSV"}], "keywords": ["data processing", "remote sensing", "image processing", "space", "opendata", "GEE; MCD14DL and NRT; Active data", "MCD64A1 data; Burned data; image filtering", "Boden", "Africa", "Cameroon"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kueshi Semanou Dahan", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "KueshiSemanou.Dahan@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9243-6826", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Loehr", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Katharina.Loehr@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-2691-9712", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=98979354-f4a2-4f86-947f-9f20cc672cc3", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Bush_Fire_Cameroon.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "98979354-f4a2-4f86-947f-9f20cc672cc3", "name": "item", "description": "98979354-f4a2-4f86-947f-9f20cc672cc3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/98979354-f4a2-4f86-947f-9f20cc672cc3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-30T00:00:00Z"}}, {"id": "91199b7c79d64dce831302cf0b0eee46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-08-24T16:26:47Z", "type": "Journal Article", "created": "2023-10-18", "title": "Asymmetric spoof-fluid-spoof acoustic waveguide and its application as a  CO2  sensor", "description": "Open AccessWe study pressure acoustic propagation in asymmetric spoof-fluid-spoof acoustic waveguides and its potential application in acoustic gas sensors. First, a stable and efficient analytical method is established for fast calculation of the dispersion curves based on spectral expansion and enforcement of continuity between segments at suitable collocation points. The analysis is validated by a commercial finite element software. The geometric design of the waveguide is then optimized for the emergence of a nearly-flat dispersion curve associated with vertical geometric asymmetry. The waveguide is fabricated using 3D printing technology and the measurement results corroborate the numerical simulations. Based on the nearly-flat dispersion curve supported by this waveguide, a CO$_2$ sensor is proposed allowing to relate the phase difference measured between two points in the waveguide to the composition of the gas in the waveguide. The proposed sensor is experimentally validated in a controlled environment and the measurement results match the computational predictions well. The sensor is robust with respect to noise and signal-recording duration due to fast phase measurements and shows high sensitivity to gas concentration due to reliance on the second, nearly-flat, dispersion curve. 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