{"type": "FeatureCollection", "features": [{"id": "10.1016/j.expthermflusci.2020.110215", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:53Z", "type": "Journal Article", "created": "2020-07-07", "title": "Visualization and measurements of shock waves in cavitating flow", "description": "Abstract   Upon cavitation cloud collapse an omnidirectional shock wave is emitted. It then travels through the flow field, causing a cascade of events resulting in erosion, noise, vibration and the cavitation shedding process.  Despite that the accumulated data points evidently to the presence of the shock waves, the direct measurements hardly exist - and even then, they are very expensive and time consuming to perform.  In the present paper, the possibility of detecting shock waves inside cavitating flow is shown.  The methodology bases on using two conventional high speed cameras. With the first one cavitating flow from a distance is observed, determining the position of the wave, while the second camera with a microscopic lens enables a close-up view to determine the number and size change of air bubbles as a shock wave passed them. By calibration and reference measurements the amplitude of the shock waves was determined.  This relatively simple approach enabled the first observation of shockwaves which occur at the cavitation cloud collapse (downstream of the attached cavity). Several examples of shock wave dynamics are shown and how they influence the general cavitation cloud behaviour. Shock wave front velocities and local pressure waves caused by cloud collapse were estimated from visualization, reaching values to more than 700 m/s and over 5 MPa respectively.", "keywords": ["kavitacija", "visokofrekven\u010dno snemanje", "0404 agricultural biotechnology", "cavitation", "13. Climate action", "kolaps kavitacijskega oblaka", "shock waves", "cloud collapse", "04 agricultural and veterinary sciences", "udarni valovi", "info:eu-repo/classification/udc/532.528(045)", "0405 other agricultural sciences", "high speed video"]}, "links": [{"href": "https://doi.org/10.1016/j.expthermflusci.2020.110215"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Experimental%20Thermal%20and%20Fluid%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.expthermflusci.2020.110215", "name": "item", "description": "10.1016/j.expthermflusci.2020.110215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.expthermflusci.2020.110215"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "10.1007/s00442-012-2522-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:14:25Z", "type": "Journal Article", "created": "2012-11-23", "title": "Nutrient Limitation In Rainforests And Cloud Forests Along A 3,000-M Elevation Gradient In The Peruvian Andes", "description": "We report results from a large-scale nutrient fertilization experiment along a 'megadiverse' (154 unique species were included in the study) 3,000-m elevation transect in the Peruvian Andes and adjacent lowland Amazonia. Our objectives were to test if nitrogen (N) and phosphorus (P) limitation shift along this elevation gradient, and to determine how an alleviation of nutrient limitation would manifest in ecosystem changes. Tree height decreased with increasing elevation, but leaf area index (LAI) and diameter at breast height (DBH) did not vary with elevation. Leaf N:P decreased with increasing elevation (from 24 at 200 m to 11 at 3,000 m), suggesting increased N limitation and decreased P limitation with increasing elevation. After 4 years of fertilization (N, P, N + P), plots at the lowland site (200 m) fertilized with N + P showed greater relative growth rates in DBH than did the control plots; no significant differences were evident at the 1,000 m site, and plots fertilized with N at the highest elevation sites (1,500, 3,000 m) showed greater relative growth rates in DBH than did the control plots, again suggesting increased N constraint with elevation. Across elevations in general N fertilization led to an increase in microbial respiration, while P and N + P addition led to an increase in root respiration and corresponding decrease in hyphal respiration. There was no significant canopy response (LAI, leaf nutrients) to fertilization, suggesting that photosynthetic capacity was not N or P limited in these ecosystems. In sum, our study significantly advances ecological understanding of nutrient cycling and ecosystem response in a region where our collective knowledge and data are sparse: we demonstrate N limitation in high elevation tropical montane forests, N and P co-limitation in lowland Amazonia, and a nutrient limitation response manifested not in canopy changes, but rather in stem and belowground changes.", "keywords": ["tropical forest", "0106 biological sciences", "elevation", "Rain", "01 natural sciences", "experimental study", "nitrogen", "Trees", "Tropical", "montane forest", "Peru", "ecosystem response", "Forest", "phosphorus", "diameter", "2. Zero hunger", "nutrient limitation", "photosynthesis", "leaf area index", "Amaz Fertilization", "Montane", "Keywords: cloud forest", "fertilizer application", "nutrient cycling", "15. Life on land", "growth rate", "rainforest"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/7/f5625xPUB64472013.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/9/Meir_email.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/11/01_Fisher_Nutrient_limitation_in_2013.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/77616/13/02_Fisher_Nutrient_limitation_in_2013.pdf.jpg"}, {"href": "https://doi.org/10.1007/s00442-012-2522-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00442-012-2522-6", "name": "item", "description": "10.1007/s00442-012-2522-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00442-012-2522-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-24T00:00:00Z"}}, {"id": "10.1016/j.engstruct.2018.09.078", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:48Z", "type": "Journal Article", "created": "2018-10-04", "title": "Dynamic analysis of single-degree-of-freedom systems (DYANAS): A graphical user interface for OpenSees", "description": "Abstract   Non-linear dynamic response of SDOF systems enjoys widespread application in earthquake engineering, sometimes as a testing ground for cumbersome analytical procedures, but often as a direct proxy of first-mode-dominated structures, within the family of simplified, pushover-based methods for seismic structural assessment and/or design. This article presents DYANAS, a MATHWORKS-MATLAB\u00ae-based graphical user interface that uses the OpenSees finite element platform to perform nonlinear dynamic analysis of single-degree-of-freedom (SDOF) oscillators. The scope of this open-source, freely distributed software is to serve as a tool for earthquake engineering research. The main advantages offered by the DYANAS interface are ease in the definition of the required analysis parameters and corresponding seismic input, efficient execution of the analyses themselves and availability of a suite of convenient, in-built post-processing tools for the management and organization of the structural responses. The types of dynamic analysis frameworks supported are incremental, multiple-stripe and cloud. Simultaneous consideration of pairs of uncoupled dynamic systems gives the possibility for intensity measures to refer to bidirectional ground motion. In the paper, an outline of the types of dynamic analysis frameworks typically used in performance-based earthquake engineering is provided, followed by a detailed description of the software and its capabilities, that include an array of post-processing tools. In order to properly place this software tool within its natural performance-based earthquake engineering habitat, some example applications are provided at the end of the paper.", "keywords": ["performance-based earthquake engineering", "pushover analysis", "multiple-stripe analysis", "performance-based earthquake engineering", " pushover analysis", " incremental dynamic analysis", " multiple-stripe analysis", " cloud method", "cloud method", "0211 other engineering and technologies", "02 engineering and technology", "incremental dynamic analysis", "0201 civil engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.engstruct.2018.09.078"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Engineering%20Structures", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.engstruct.2018.09.078", "name": "item", "description": "10.1016/j.engstruct.2018.09.078", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.engstruct.2018.09.078"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.daach.2021.e00188", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:39Z", "type": "Journal Article", "created": "2021-04-22", "title": "3-D pit: Linear pottery culture long pit reconstructed through point-cloud analysis", "description": "Abstract   Long-term research of the Linear Pottery Culture easternmost excavated site faced a number of obstacles in the interpretation of stratigraphy and objects shape. It happens mostly because of features of sedimentation and post-deposition processes in Ukraine that are quite different from Central European ones. Newly applied method of 3D-point cloud analysis performed in Kamyane-Zavallia, Ukraine, introduced the opportunity to define the living surface of Neolithic settlement and distinguish stratigraphic units in details using the geoinformational systems and geospatial database as a tools for the object analysis. This raises a number of questions concerning the previous interpretations of Linear Pottery Culture sites in Ukraine and the required accuracy of their archaeological excavation. Moreover, the analysis of stratigraphic units inside the long pit from Kamyane Zavallia had shown the complex and heterogeneous process of its refilling.", "keywords": ["Ukraine", " linear pottery culture", " Kamyane-Zavallia", " point cloud analysis", " stratigraphic unit; 3D model", "0601 history and archaeology", "06 humanities and the arts", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/3740113/1/preprint.pdf"}, {"href": "https://doi.org/10.1016/j.daach.2021.e00188"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Digital%20Applications%20in%20Archaeology%20and%20Cultural%20Heritage", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.daach.2021.e00188", "name": "item", "description": "10.1016/j.daach.2021.e00188", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.daach.2021.e00188"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2021.148466", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:35Z", "type": "Journal Article", "created": "2021-06-12", "title": "Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework", "description": "Assessment of soil loss and understanding its major drivers are essential to implement targeted management interventions. We have proposed and developed a Revised Universal Soil Loss Equation framework fully implemented in the Google Earth Engine cloud platform (RUSLE-GEE) for high spatial resolution (90 m) soil erosion assessment. Using RUSLE-GEE, we analyzed the soil loss rate for different erosion levels, land cover types, and slopes in the Blue Nile Basin. The results showed that the mean soil loss rate is 39.73, 57.98, and 6.40 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> for the entire Blue Nile, Upper Blue Nile, and Lower Blue Nile Basins, respectively. Our results also indicated that soil protection measures should be implemented in approximately 27% of the Blue Nile Basin, as these areas face a moderate to high risk of erosion (&gt;10 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> ). In addition, downscaling the Tropical RainfallMeasuring Mission (TRMM) precipitation data from 25 km to 1 km spatial resolution significantly impacts rainfall erosivity and soil loss rate. In terms of soil erosion assessment, the study showed the rapid characterization of soil loss rates that could be used to prioritize erosion mitigation plans to support sustainable land resources and tackle land degradation in the Blue Nile Basin.", "keywords": ["Conservation of Natural Resources", "Revised Universal Soil Loss Equation", "0207 environmental engineering", "TRMM spatial downscaling", "02 engineering and technology", "15. Life on land", "6. Clean water", "Soil", "13. Climate action", "Soil loss severity analysis", "Geographic Information Systems", "Cloud computing", "Google Earth Engine", "Environmental Monitoring", "Soil Erosion"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2021.148466"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2021.148466", "name": "item", "description": "10.1016/j.scitotenv.2021.148466", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2021.148466"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2009.02.023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:16:42Z", "type": "Journal Article", "created": "2009-03-11", "title": "Litter Contribution To Diurnal And Annual Soil Respiration In A Tropical Montane Cloud Forest", "description": "Respiration of CO2 from soils (Rs) is a major component of the carbon cycle of ecosystems, but understanding is still poor of both the relative contributions of different respiratory sources to Rs, and the environmental factors that drive diurnal variations in Rs. We measured total and litter-free Rs at half-hourly intervals over full 24 h periods, and thereafter twice a month for 10 months in a tropical montane cloud forest (TMCF) in Peru. Total Rs declined by about 61% during the night as a result of variations in respiration rate in the litter, which were partly correlated with the soil surface air temperature. Most of the diurnal variation of Rs in this TMCF appears to be driven by respiration in the litter layer, which contributed 37% to the total soil CO2 efflux. Total Rs rates at this particular site would have been overestimated by 60% if derived from daytime measurements that had not been corrected for diurnal variations in Rs.", "keywords": ["Diurnal soil respiration variation", "Diurnal variations", "Tropics", "04 agricultural and veterinary sciences", "Environment", "15. Life on land", "Keywords: Carbon cycles", "Relative contributions", "Litter respiration", "Respiration rates", "Soil surfaces", "13. Climate action", "Environmental factors", "0401 agriculture", " forestry", " and fisheries", "Tropical montane cloud forest", "S Diurnal soil respiration variation", "Litter layers", "Soil CO", "Sodium compounds"]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79958/5/f5625xPUB8309.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/79958/7/01_ZIMMERMANN_Litter_contribution_to_diurnal_2009.pdf.jpg"}, {"href": "https://doi.org/10.1016/j.soilbio.2009.02.023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2009.02.023", "name": "item", "description": "10.1016/j.soilbio.2009.02.023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2009.02.023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-06-01T00:00:00Z"}}, {"id": "10.1016/j.watres.2022.118628", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:17:06Z", "type": "Journal Article", "created": "2022-05-17", "title": "Investigation of hydrodynamic cavitation induced reactive oxygen species production in microchannels via chemiluminescent luminol oxidation reactions", "description": "Hydrodynamic cavitation was evaluated for its reactive oxygen species production in several convergent-divergent microchannel at the transition from micro to milli scale. Channel widths and heights were systematically varied to study the influence of geometrical parameters at the transitory scale. A photomultiplier tube was used for time-resolved photon detection and monitoring of the chemiluminescent luminol oxidation reactions, allowing for a contactless and in situ quantization of reactive oxygen species production in the channels. The radical production rates at various flow parameters were evaluated, showing an optimal yield per flow rate exists in the observed geometrical range. While cavitation cloud shedding was the prevailing regime in this type of channels, the photon arrival time analysis allowed for an investigation of the cavitation structure dynamics and their contribution to the chemical yield, revealing that radical production is not linked to the synchronous cavitation cloud collapse events. Instead, individual bubble collapses occurring throughout the cloud formation were recognized to be the source of the reactive oxygen species.", "keywords": ["convergent-divergent channels", "kemoluminiscenca", "free radicals", "Free radicals", "Photon counting", "microscale cavitation", "kavitacija", "info:eu-repo/classification/udc/532.528", "0404 agricultural biotechnology", "Microscale cavitation", "cavitation cloud shedding", "kavitacija", " prosti radikali", " kemoluminiscenca", "photon counting", "Convergent-divergent channels", "[SPI.FLUID] Engineering Sciences [physics]/Reactive fluid environment", "04 agricultural and veterinary sciences", "Luminol chemiluminescence", "Cavitation cloud shedding", "info:eu-repo/classification/udc/532", "Luminescent Measurements", "Hydrodynamics", "luminol chemiluminescence", "cavitation cloud shedding", " free radicals", " photon counting", " microscale cavitation", " luminol chemiluminescence", " convergent-divergent channels", "Luminol", "Reactive Oxygen Species", "0405 other agricultural sciences", "prosti radikali", "Oxidation-Reduction"]}, "links": [{"href": "https://doi.org/10.1016/j.watres.2022.118628"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.watres.2022.118628", "name": "item", "description": "10.1016/j.watres.2022.118628", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.watres.2022.118628"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10.5194/gmd-17-6903-2024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:49Z", "type": "Journal Article", "created": "2024-09-16", "title": "Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Given the importance of aerosols and clouds and their interactions in the climate system, it is imperative that the global Earth system models accurately represent processes associated with them. This is an important prerequisite if we are to narrow the uncertainties in future climate projections. In practice, this means that continuous model evaluations and improvements grounded in observations are necessary. Numerous studies in the past few decades have shown both the usability and the limitations of utilizing satellite-based observations in understanding and evaluating aerosol\u2013cloud interactions, particularly under varying meteorological and satellite sensor sensitivity paradigms. Furthermore, the vast range of spatio-temporal scales at which aerosol and cloud processes occur adds another dimension to the challenges faced when evaluating climate models. In this context, the aim of this study is two-fold. (1)\u00a0We evaluate the most recent, significant changes in the representation of aerosol and cloud processes implemented in the EC-Earth3-AerChem model in the framework of the EU project FORCeS compared with its previous CMIP6 version (Coupled Model Intercomparison Project Phase\u00a06; https://pcmdi.llnl.gov/CMIP6/, last access: 13\u00a0February\u00a02019). We focus particularly on evaluating cloud physical properties and radiative effects, wherever possible, using a satellite simulator. We report on the overall improvements in the EC-Earth3-AerChem model. In particular, the strong warm bias chronically seen over the Southern Ocean is reduced significantly. (2)\u00a0A statistical, maximum covariance analysis is carried out between aerosol optical depth (AOD) and cloud droplet (CD) effective radius based on the recent EC-Earth3-AerChem/FORCeS simulation to understand to what extent the Twomey effect can manifest itself in the larger spatio-temporal scales. We focus on the three oceanic low-level cloud regimes that are important due to their strong net cooling effect and where pollution outflow from the nearby continent is simultaneously pervasive. We report that the statistical covariability between AOD and CD effective radius is indeed dominantly visible even at the climate scale when the aerosol amount and composition are favourably preconditioned to allow for aerosol\u2013cloud interactions. Despite this strong covariability, our analysis shows a strong cooling/warming in shortwave cloud radiative effects at the top of the atmosphere in our study regions associated with an increase/decrease in CD effective radius. This cooling/warming can be attributed to the increase/decrease in low cloud fraction, in line with previous observational studies.                     </p></article>", "keywords": ["Climatology", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "550", "Geology", "Aerosols atmosf\u00e8rics", "15. Life on land", "Atmospheric aerosols", "An\u00e0lisi de covari\u00e0ncia", "Meteorology and Atmospheric Sciences", "13. Climate action", "Clouds", "Climatologia", "Analysis of covariance", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Meteorologi och atmosf\u00e4rsvetenskap", "14. Life underwater", "N\u00favols"]}, "links": [{"href": "https://gmd.copernicus.org/articles/17/6903/2024/gmd-17-6903-2024.pdf"}, {"href": "https://doi.org/10.5194/gmd-17-6903-2024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-17-6903-2024", "name": "item", "description": "10.5194/gmd-17-6903-2024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-17-6903-2024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-15T00:00:00Z"}}, {"id": "10.1111/2041-210X.14483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:28Z", "type": "Journal Article", "created": "2024-12-25", "title": "The Wayqecha Amazon Cloud Curtain Ecosystem Experiment: A new experimental method to manipulate fog water inputs in\u00a0terrestrial systems", "description": "Abstract<p>   <p>Fog makes a significant contribution to the hydrology of a wide range of important terrestrial ecosystems. The amount and frequency of fog immersion are affected by rapid ongoing anthropogenic changes but the impacts of these changes remain relatively poorly understood compared with changes in rainfall.</p>  <p>Here, we present the design and performance of a novel experiment to actively manipulate low lying fog abundance in an old\uffe2\uff80\uff90growth tropical montane cloud forest (TMCF) in Peru\uffe2\uff80\uff94the Wayqecha Amazon Cloud Curtain Ecosystem Experiment (WACCEE). The treatment consists of a 30\uffe2\uff80\uff89m high, 40\uffe2\uff80\uff89m wide mesh curtain suspended between two towers and extending down to the ground, and two supplementary curtains orientated diagonally inwards from the top of each tower and secured to the ground upslope. The curtains divert and intercept airborne water droplets in fog moving upslope, thereby depriving a ~420\uffe2\uff80\uff89m2 patch of forest immediately behind the curtains of this water source. We monitored inside the treatment and a nearby unmodified control plot various metrics of water availability (air humidity, vapour pressure deficit, leaf wetness and soil moisture) and other potentially confounding variables (radiation, air and soil temperature) above and below the forest canopy.</p>  <p>The treatment caused a strong reduction in both air humidity and leaf wetness, and an increase in vapour pressure deficit, above the canopy compared to the control plot. This effect was most pronounced during the nighttime (20:00\uffe2\uff80\uff9305:00). Below\uffe2\uff80\uff90canopy shifts within the treatment were more subtle: relative humidity at 2\uffe2\uff80\uff89m height above the ground was significantly suppressed during the daytime, while soil moisture was apparently elevated. The treatment caused a small but significant increase in air temperature above the canopy but a decrease in temperature in and near the soil, while mixed effects were observed at 2\uffe2\uff80\uff89m height above the ground. Above\uffe2\uff80\uff90canopy radiation was slightly elevated on the treatment relative to the control, particularly during the dry season.</p>  <p>Further application of the method in other systems where fog plays a major role in ecosystem processes could improve our understanding of the ecological impacts of this important but understudied climate driver.</p>  </p", "keywords": ["large-scale ecosystem manipulation", "Ekologi", "large\u2010scale ecosystem manipulation", "0301 basic medicine", "Ecology", "Evolution", "tropical montane cloud forest", "cloud moisture", "TCMF", "tropical", "drought", "01 natural sciences", "03 medical and health sciences", "climate change", "QH359-425", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/2041-210X.14483"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Methods%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/2041-210X.14483", "name": "item", "description": "10.1111/2041-210X.14483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/2041-210X.14483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-24T00:00:00Z"}}, {"id": "10.1111/2041-210x.14483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:18:28Z", "type": "Journal Article", "created": "2024-12-24", "title": "The Wayqecha Amazon Cloud Curtain Ecosystem Experiment: A new experimental method to manipulate fog water inputs in\u00a0terrestrial systems", "description": "Abstract                   <p>                                                                     <p>Fog makes a significant contribution to the hydrology of a wide range of important terrestrial ecosystems. The amount and frequency of fog immersion are affected by rapid ongoing anthropogenic changes but the impacts of these changes remain relatively poorly understood compared with changes in rainfall.</p>                                                                       <p>                           Here, we present the design and performance of a novel experiment to actively manipulate low lying fog abundance in an old\uffe2\uff80\uff90growth tropical montane cloud forest (TMCF) in Peru\uffe2\uff80\uff94the Wayqecha Amazon Cloud Curtain Ecosystem Experiment (WACCEE). The treatment consists of a 30\uffe2\uff80\uff89m high, 40\uffe2\uff80\uff89m wide mesh curtain suspended between two towers and extending down to the ground, and two supplementary curtains orientated diagonally inwards from the top of each tower and secured to the ground upslope. The curtains divert and intercept airborne water droplets in fog moving upslope, thereby depriving a ~420\uffe2\uff80\uff89m                           2                           patch of forest immediately behind the curtains of this water source. We monitored inside the treatment and a nearby unmodified control plot various metrics of water availability (air humidity, vapour pressure deficit, leaf wetness and soil moisture) and other potentially confounding variables (radiation, air and soil temperature) above and below the forest canopy.                         </p>                                                                       <p>The treatment caused a strong reduction in both air humidity and leaf wetness, and an increase in vapour pressure deficit, above the canopy compared to the control plot. This effect was most pronounced during the nighttime (20:00\uffe2\uff80\uff9305:00). Below\uffe2\uff80\uff90canopy shifts within the treatment were more subtle: relative humidity at 2\uffe2\uff80\uff89m height above the ground was significantly suppressed during the daytime, while soil moisture was apparently elevated. The treatment caused a small but significant increase in air temperature above the canopy but a decrease in temperature in and near the soil, while mixed effects were observed at 2\uffe2\uff80\uff89m height above the ground. Above\uffe2\uff80\uff90canopy radiation was slightly elevated on the treatment relative to the control, particularly during the dry season.</p>                                                                       <p>Further application of the method in other systems where fog plays a major role in ecosystem processes could improve our understanding of the ecological impacts of this important but understudied climate driver.</p>                                                               </p", "keywords": ["large-scale ecosystem manipulation", "Ekologi", "large\u2010scale ecosystem manipulation", "0301 basic medicine", "Ecology", "Evolution", "tropical montane cloud forest", "cloud moisture", "TCMF", "tropical", "drought", "01 natural sciences", "03 medical and health sciences", "climate change", "QH359-425", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/2041-210x.14483"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Methods%20in%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/2041-210x.14483", "name": "item", "description": "10.1111/2041-210x.14483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/2041-210x.14483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-24T00:00:00Z"}}, {"id": "10.1175/JAS-D-17-0050.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:19:10Z", "type": "Journal Article", "created": "2017-09-19", "title": "Coherent structures in large-eddy simulations of a non-precipitating stratocumulus-topped boundary layer", "description": "Abstract                <p>The properties of coherent convective structures are analyzed in a nonprecipitating marine nocturnal stratocumulus-topped boundary layer (STBL) with a series of high-resolution large-eddy simulations (LESs). A new classification method based on octant analysis\uffe2\uff80\uff94using vertical velocity and two passive scalars\uffe2\uff80\uff94is introduced to systematically define convective structures in both the cloudy and the cloud-free regions. It is therefore possible to detect and track updrafts, downdrafts, and their turbulent shells (both ascending and subsiding), together with the entraining air from the inversion layer or the free troposphere. The geometrical and thermodynamical characteristics (e.g., areal fraction, temperature, liquid and total water mixing ratio, buoyancy) of those structures are then accurately described, and particular attention is given to their respective contributions to the turbulent transport of mass, heat, and moisture. It is shown that updrafts, downdrafts, and entrainment are equally important to describe the STBL dynamics. Conversely, it is found that shells, although they partially contribute to the mass transport, have a negligible contribution to the turbulent fluxes of heat and moisture.</p>", "keywords": ["Boundary layer", "13. Climate action", "Clouds", "Large eddy simulations", "01 natural sciences", "Stratiform clouds", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://journals.ametsoc.org/jas/article-pdf/74/12/4117/4755368/jas-d-17-0050_1.pdf"}, {"href": "https://doi.org/10.1175/JAS-D-17-0050.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Atmospheric%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/JAS-D-17-0050.1", "name": "item", "description": "10.1175/JAS-D-17-0050.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/JAS-D-17-0050.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.3390/agronomy11010181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:40Z", "type": "Journal Article", "created": "2021-01-19", "title": "Crop Management with the IoT: An Interdisciplinary Survey", "description": "<p>In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview of its architecture and components from agronomic and technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components. Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services. From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which is also useful to enhance cropping system simulation systems.</p>", "keywords": ["2. Zero hunger", "S", "9. Industry and infrastructure", "Internet of Things", "cloud computing", "crop management", "Agriculture", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "sensors", "7. Clean energy", "smart farming", "0202 electrical engineering", " electronic engineering", " information engineering", "Internet of Things (IoT); sensors; cloud; crop management; smart farming", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/789000/5/agronomy-11-00181-v2.pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/1/181/pdf"}, {"href": "https://doi.org/10.3390/agronomy11010181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11010181", "name": "item", "description": "10.3390/agronomy11010181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11010181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-18T00:00:00Z"}}, {"id": "10.3390/ijgi10020102", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:47Z", "type": "Journal Article", "created": "2021-02-23", "title": "Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Land use and land cover are continuously changing in today\u2019s world. Both domains, therefore, have to rely on updates of external information sources from which the relevant land use/land cover (classification) is extracted. Satellite images are frequent candidates due to their temporal and spatial resolution. On the contrary, the extraction of relevant land use/land cover information is demanding in terms of knowledge base and time. The presented approach offers a proof-of-concept machine-learning pipeline that takes care of the entire complex process in the following manner. The relevant Sentinel-2 images are obtained through the pipeline. Later, cloud masking is performed, including the linear interpolation of merged-feature time frames. Subsequently, four-dimensional arrays are created with all potential training data to become a basis for estimators from the scikit-learn library; the LightGBM estimator is then used. Finally, the classified content is applied to the open land use and open land cover databases. The verification of the provided experiment was conducted against detailed cadastral data, to which Shannon\u2019s entropy was applied since the number of cadaster information classes was naturally consistent. The experiment showed a good overall accuracy (OA) of 85.9%. It yielded a classified land use/land cover map of the study area consisting of 7188 km2 in the southern part of the South Moravian Region in the Czech Republic. The developed proof-of-concept machine-learning pipeline is replicable to any other area of interest so far as the requirements for input data are met.</p></article>", "keywords": ["Geography (General)", "0211 other engineering and technologies", "land use", "cloud masking", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "satellite imagery", "machine learning", "land cover", "Sentinel 2", "machine learning; land use; land cover; satellite imagery; Sentinel 2; image classification; cloud masking; LightGBM estimator", "G1-922", "0401 agriculture", " forestry", " and fisheries", "LightGBM estimator", "image classification"]}, "links": [{"href": "http://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://doi.org/10.3390/ijgi10020102"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20International%20Journal%20of%20Geo-Information", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijgi10020102", "name": "item", "description": "10.3390/ijgi10020102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijgi10020102"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-23T00:00:00Z"}}, {"id": "10.3390/plants12071443", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:53Z", "type": "Journal Article", "created": "2023-03-24", "title": "Do Nitrogen and Phosphorus Additions Affect Nitrogen Fixation Associated with Tropical Mosses?", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Tropical cloud forests are characterized by abundant and biodiverse mosses which grow epiphytically as well as on the ground. Nitrogen (N)-fixing cyanobacteria live in association with most mosses, and contribute greatly to the N pool via biological nitrogen fixation (BNF). However, the availability of nutrients, especially N and phosphorus (P), can influence BNF rates drastically. To evaluate the effects of increased N and P availability on BNF in mosses, we conducted a laboratory experiment where we added N and P, in isolation and combined, to three mosses (Campylopus sp., Dicranum sp. and Thuidium peruvianum) collected from a cloud forest in Peru. Our results show that N addition almost completely inhibited BNF within a day, whereas P addition caused variable results across moss species. Low N2 fixation rates were observed in Campylopus sp. across the experiment. BNF in Dicranum sp. was decreased by all nutrients, while P additions seemed to promote BNF in T. peruvianum. Hence, each of the three mosses contributes distinctively to the ecosystem N pool depending on nutrient availability. Moreover, increased N input will likely significantly decrease BNF associated with mosses also in tropical cloud forests, thereby limiting N input to these ecosystems via the moss-cyanobacteria pathway.</p></article>", "keywords": ["nutrient limitation", "cyanobacteria; ecosystem ecology; global change; mosses; nitrogen fixation; nutrient limitation; phosphorus; tropical cloud forest", "Botany", "ecosystem ecology", "15. Life on land", "Milj\u00f6vetenskap", "cyanobacteria", "Article", "mosses", "13. Climate action", "nitrogen fixation", "QK1-989", "tropical cloud forest", "phosphorus", "Environmental Sciences", "global change"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/12/7/1443/pdf"}, {"href": "https://www.mdpi.com/2223-7747/12/7/1443/pdf"}, {"href": "https://doi.org/10.3390/plants12071443"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/plants12071443", "name": "item", "description": "10.3390/plants12071443", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/plants12071443"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-24T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:20:56Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.5194/acp-23-1785-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:35Z", "type": "Journal Article", "created": "2023-02-02", "title": "Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Ice-nucleating particles (INPs) enable ice formation, profoundly affecting the microphysical and radiative properties, lifetimes, and precipitation rates of clouds. Mineral dust emitted from arid regions, particularly potassium-containing feldspar (K-feldspar), has been shown to be a very effective INP through immersion freezing in mixed-phase clouds. However, despite the fact that quartz has a significantly lower ice nucleation activity, it is more abundant than K-feldspar in atmospheric desert dust and therefore may be a significant source of INPs. In this contribution, we test this hypothesis by investigating the global and regional importance of quartz as a contributor to INPs in the atmosphere relative to K-feldspar. We have extended a global 3-D chemistry transport model (TM4-ECPL) to predict INP concentrations from both K-feldspar and quartz mineral dust particles with state-of-the-art parameterizations using the ice-active surface-site approach for immersion freezing. Our results show that, although K-feldspar remains the most important contributor to INP concentrations globally, affecting mid-level mixed-phase clouds, the contribution of quartz can also be significant. Quartz dominates the lowest and the highest altitudes of dust-derived INPs, affecting mainly low-level and high-level mixed-phase clouds. The consideration of quartz INPs also improves the comparison between simulations and observations at low temperatures. Our simulated INP concentrations predict \u223c\u200951\u2009% of the observations gathered from different campaigns within 1 order of magnitude and \u223c\u200969\u2009% within 1.5 orders of magnitude, despite the omission of other potentially important INP aerosol precursors like marine bioaerosols. Our findings support the inclusion of quartz in addition to K-feldspar as an INP in climate models and highlight the need for further constraining their abundance in arid soil surfaces along with their abundance, size distribution, and mixing state in the emitted dust atmospheric particles.                     </p></article>", "keywords": ["\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Physics", "QC1-999", "Atmospheric physics", "Aerosols atmosf\u00e8rics", "Atmospheric aerosols", "01 natural sciences", "Chemistry", "Cloud physics", "13. Climate action", "F\u00edsica atmosf\u00e8rica", "F\u00edsica dels n\u00favols", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QD1-999", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/1785/2023/acp-23-1785-2023.pdf"}, {"href": "https://doi.org/10.5194/acp-23-1785-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-23-1785-2023", "name": "item", "description": "10.5194/acp-23-1785-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-23-1785-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-22T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:21:51Z", "type": "Journal Article", "created": "2020-08-12", "title": "CLASSIFICATION OF UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS OF RIVERINE SPECIES USING MACHINE LEARNING ALGORITHMS: A CASE STUDY IN THE PALANCIA RIVER, SPAIN", "description": "<p>Abstract. The management of riverine areas is fundamental due to their great environmental importance. The fast changes that occur in these areas due to river mechanics and human pressure makes it necessary to obtain data with high temporal and spatial resolution. This study proposes a workflow to map riverine species using Unmanned Aerial Vehicle (UAV) imagery. Based on RGB point clouds, our work derived simple geometric and spectral metrics to classify an area of the public hydraulic domain of the river Palancia (Spain) in five different classes: Tamarix gallica L. (French tamarisk), Pinus halepensis Miller (Aleppo pine), Arundo donax L. (giant reed), other riverine species and ground. A total of six Machine Learning (ML) methods were evaluated: Decision Trees, Extra Trees, Multilayer Perceptron, K-Nearest Neighbors, Random Forest and Ridge. The method chosen to carry out the classification was Random Forest, which obtained a mean score cross-validation close to 0.8. Subsequently, an object-based reclassification was done to improve this result, obtaining an overall accuracy of 83.6%, and individually a producer\uffe2\uff80\uff99s accuracy of 73.8% for giant reed, 87.7% for Aleppo pine, 82.8% for French tamarisk, 93.5% for ground and 80.1% for other riverine species. Results were promising, proving the feasibility of using this cost-effective method for periodic monitoring of riverine species. In addition, the proposed workflow is easily transferable to other tasks beyond riverine species classification (e.g., green areas detection, land cover classification) opening new opportunities in the use of UAVs equipped with consumer cameras for environmental applications.                     </p>", "keywords": ["Technology", "Point cloud classification", " UAV", " Structure from Motion", " Random forest", " Riverine species", "T", "UAV", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Structure from Motion", "TA1501-1820", "13. Climate action", "INGENIERIA CARTOGRAFICA", " GEODESIA Y FOTOGRAMETRIA", "Applied optics. Photonics", "Riverine species", "TA1-2040", "Point cloud classification", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/659/2020/isprs-archives-XLIII-B2-2020-659-2020.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "name": "item", "description": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-12T00:00:00Z"}}, {"id": "10.5281/zenodo.14989604", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:22:49Z", "type": "Software", "title": "Metagenomics-Toolkit: The Flexible and Efficient Cloud-Based Metagenomics Workflow featuring Machine Learning-Enabled Resource Allocation", "description": "The Metagenomics-Toolkit is a scalable, data agnostic workflow that automates the analysis of short and long metagenomic reads obtained from Illumina or Oxford Nanopore Technology devices, respectively. The Toolkit offers not only standard features expected in a metagenome workflow, such as quality control, assembly, binning, and annotation, but also distinctive features, such as plasmid identification based on various tools, the recovery of unassembled microbial community members, and the discovery of microbial interdependencies through a combination of dereplication, co-occurrence, and genome-scale metabolic modeling. Furthermore, the Metagenomics-Toolkit includes a machine learning-optimized assembly step that tailors the peak RAM value requested by a metagenome assembler to match actual requirements, thereby minimizing the dependency on dedicated high-memory hardware.  Quickstart and documentation can be found at https://github.com/metagenomics/metagenomics-tk", "keywords": ["Metagenomics/methods", "Cloud Computing", "Workflow"], "contacts": [{"organization": "Belmann, Peter, Osterholz, Benedikt, Kleinb\u00f6lting, Nils, P\u00fchler, Alfred, Schl\u00fcter, Andreas, Sczyrba, Alexander,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14989604"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14989604", "name": "item", "description": "10.5281/zenodo.14989604", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14989604"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-07T00:00:00Z"}}, {"id": "10.5281/zenodo.6119920", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:23:26Z", "type": "Report", "title": "Machine learning applied to the classification of riverine species using UAV-based photogrammetric point clouds", "description": "Open AccessCite as: Carbonell-Rivera, J. P., Estornell, J., Ruiz, L. A., Torralba, J., Crespo-Peremarch, P., 2021. Machine learning applied to the classification of riverine species using UAV-based photogrammetric point clouds. First International Conference on Smart Geoinformatics Applications (ICSGA), pp. 33-36, 24-25 Feb., online.", "keywords": ["13. Climate action", "Point cloud classification", " UAV-DAP", " Random Forest", " Riverine species", "15. Life on land"], "contacts": [{"organization": "Carbonell Rivera Juan Pedro, Estornell Javier, Ruiz Luis A, Torralba Perez Jesus, Crespo Peremarch Pablo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6119920"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6119920", "name": "item", "description": "10.5281/zenodo.6119920", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6119920"}, {"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": "10.5281/zenodo.6864305", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:29Z", "type": "Journal Article", "title": "Map Whiteboard As Collaboration Tool for Smart Farming Advisory Services", "description": "Precision agriculture, a branch of smart farming, holds great promise for modernization of European agriculture both in terms of environmental sustainability and economic outlook. The vast data archives made available through Copernicus and related infrastructures, combined with a low entry threshold into the domain of AI-technologies has made it possible, if not outright easy, to make meaningful predictions that divides individual agricultural fields into zones where variable rates of fertilizer, irrigation and/or pesticide are required for optimal soil productivity and minimized environmental impact. However, present solutions that control variable rate application hardware such as irrigation, fertilizer application etc. are \u2018black box technologies\u2019 to farmers, making predictions that may well be good but that necessarily are not trusted. This limits the uptake of precision agriculture technology and thus also the realization of its promised benefits. The Map Whiteboard concept at the centre of this submission is intended to plug into the \u201ctraditional\u201d workflow of variable rate applications and enables agricultural advisors/extension services and farmers to interact, adjust and share an understanding of the estimations made by the \u2018black box\u2019, thus increasing the trust in and improving the quality of the prediction models. The vision of the Map Whiteboard innovation was conceived out of a sequence of large-scale collaborative writing efforts using Google Docs. As opposed to traditional offline word processing tools, Google Docs allows multiple people to edit the same document]\u2014at the same time\u2014allowing all connected clients to see changes made to the document in real-time by synchronising all changes between all connected clients via the server. The ability to work on a shared body of text, avoiding the necessity to integrate fragments from multiple source documents and with multiple styles removed many obstacles associated with traditional document editing. The Map Whiteboard technology seeks to do the same for the traditional use of GIS tools. The overall vision for the technology is that a Map Whiteboard will be to GIS what Google Docs is to word processing. We are now introducing this technology as a tool for collaborative work farmers and advisory services offering them analysis of EO data.", "keywords": ["AI", "Collaborative Platform", "cloud", "Precision Agriculture", "Copernicus"], "contacts": [{"organization": "Charv\u00e1t, Karel, Berzins, Raitis, Bergheim, Runar, Zadra\u017eil, Franti\u0161ek, Macura, Jan, Langovskis, Dailis, \u0160nevajs, He\u0159man, Kub\u00ed\u010dkov\u00e1, Hana, Hor\u00e1kov\u00e1, \u0160\u00e1rka, Charv\u00e1t, Karel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6864305"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6864305", "name": "item", "description": "10.5281/zenodo.6864305", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6864305"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-29T00:00:00Z"}}, {"id": "10.5281/zenodo.6864304", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:29Z", "type": "Journal Article", "title": "Map Whiteboard As Collaboration Tool for Smart Farming Advisory Services", "description": "Precision agriculture, a branch of smart farming, holds great promise for modernization of European agriculture both in terms of environmental sustainability and economic outlook. The vast data archives made available through Copernicus and related infrastructures, combined with a low entry threshold into the domain of AI-technologies has made it possible, if not outright easy, to make meaningful predictions that divides individual agricultural fields into zones where variable rates of fertilizer, irrigation and/or pesticide are required for optimal soil productivity and minimized environmental impact. However, present solutions that control variable rate application hardware such as irrigation, fertilizer application etc. are \u2018black box technologies\u2019 to farmers, making predictions that may well be good but that necessarily are not trusted. This limits the uptake of precision agriculture technology and thus also the realization of its promised benefits. The Map Whiteboard concept at the centre of this submission is intended to plug into the \u201ctraditional\u201d workflow of variable rate applications and enables agricultural advisors/extension services and farmers to interact, adjust and share an understanding of the estimations made by the \u2018black box\u2019, thus increasing the trust in and improving the quality of the prediction models. The vision of the Map Whiteboard innovation was conceived out of a sequence of large-scale collaborative writing efforts using Google Docs. As opposed to traditional offline word processing tools, Google Docs allows multiple people to edit the same document]\u2014at the same time\u2014allowing all connected clients to see changes made to the document in real-time by synchronising all changes between all connected clients via the server. The ability to work on a shared body of text, avoiding the necessity to integrate fragments from multiple source documents and with multiple styles removed many obstacles associated with traditional document editing. The Map Whiteboard technology seeks to do the same for the traditional use of GIS tools. The overall vision for the technology is that a Map Whiteboard will be to GIS what Google Docs is to word processing. We are now introducing this technology as a tool for collaborative work farmers and advisory services offering them analysis of EO data.", "keywords": ["2. Zero hunger", "AI", "Collaborative Platform", "cloud", "Precision Agriculture", "15. Life on land", "Copernicus"], "contacts": [{"organization": "Charv\u00e1t, Karel, Berzins, Raitis, Bergheim, Runar, Zadra\u017eil, Franti\u0161ek, Macura, Jan, Langovskis, Dailis, \u0160nevajs, He\u0159man, Kub\u00ed\u010dkov\u00e1, Hana, Hor\u00e1kov\u00e1, \u0160\u00e1rka, Charv\u00e1t, Karel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6864304"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/EGU%20General%20Assembly%202022%2C%20Vienna%2C%20Austria%2C%2023%E2%80%9327%20May%202022%2C", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6864304", "name": "item", "description": "10.5281/zenodo.6864304", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6864304"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.8085685", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:23:41Z", "type": "Journal Article", "created": "2021-02-23", "title": "Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Land use and land cover are continuously changing in today\u2019s world. Both domains, therefore, have to rely on updates of external information sources from which the relevant land use/land cover (classification) is extracted. Satellite images are frequent candidates due to their temporal and spatial resolution. On the contrary, the extraction of relevant land use/land cover information is demanding in terms of knowledge base and time. The presented approach offers a proof-of-concept machine-learning pipeline that takes care of the entire complex process in the following manner. The relevant Sentinel-2 images are obtained through the pipeline. Later, cloud masking is performed, including the linear interpolation of merged-feature time frames. Subsequently, four-dimensional arrays are created with all potential training data to become a basis for estimators from the scikit-learn library; the LightGBM estimator is then used. Finally, the classified content is applied to the open land use and open land cover databases. The verification of the provided experiment was conducted against detailed cadastral data, to which Shannon\u2019s entropy was applied since the number of cadaster information classes was naturally consistent. The experiment showed a good overall accuracy (OA) of 85.9%. It yielded a classified land use/land cover map of the study area consisting of 7188 km2 in the southern part of the South Moravian Region in the Czech Republic. The developed proof-of-concept machine-learning pipeline is replicable to any other area of interest so far as the requirements for input data are met.</p></article>", "keywords": ["Geography (General)", "0211 other engineering and technologies", "land use", "cloud masking", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "satellite imagery", "machine learning", "land cover", "Sentinel 2", "machine learning; land use; land cover; satellite imagery; Sentinel 2; image classification; cloud masking; LightGBM estimator", "G1-922", "0401 agriculture", " forestry", " and fisheries", "LightGBM estimator", "image classification"]}, "links": [{"href": "http://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8085685"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20International%20Journal%20of%20Geo-Information", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8085685", "name": "item", "description": "10.5281/zenodo.8085685", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8085685"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-23T00:00:00Z"}}, {"id": "2117/382091", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:34Z", "type": "Journal Article", "created": "2023-02-02", "title": "Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Ice-nucleating particles (INPs) enable ice formation, profoundly affecting the microphysical and radiative properties, lifetimes, and precipitation rates of clouds. Mineral dust emitted from arid regions, particularly potassium-containing feldspar (K-feldspar), has been shown to be a very effective INP through immersion freezing in mixed-phase clouds. However, despite the fact that quartz has a significantly lower ice nucleation activity, it is more abundant than K-feldspar in atmospheric desert dust and therefore may be a significant source of INPs. In this contribution, we test this hypothesis by investigating the global and regional importance of quartz as a contributor to INPs in the atmosphere relative to K-feldspar. We have extended a global 3-D chemistry transport model (TM4-ECPL) to predict INP concentrations from both K-feldspar and quartz mineral dust particles with state-of-the-art parameterizations using the ice-active surface-site approach for immersion freezing. Our results show that, although K-feldspar remains the most important contributor to INP concentrations globally, affecting mid-level mixed-phase clouds, the contribution of quartz can also be significant. Quartz dominates the lowest and the highest altitudes of dust-derived INPs, affecting mainly low-level and high-level mixed-phase clouds. The consideration of quartz INPs also improves the comparison between simulations and observations at low temperatures. Our simulated INP concentrations predict \u223c\u200951\u2009% of the observations gathered from different campaigns within 1 order of magnitude and \u223c\u200969\u2009% within 1.5 orders of magnitude, despite the omission of other potentially important INP aerosol precursors like marine bioaerosols. Our findings support the inclusion of quartz in addition to K-feldspar as an INP in climate models and highlight the need for further constraining their abundance in arid soil surfaces along with their abundance, size distribution, and mixing state in the emitted dust atmospheric particles.</p></article>", "keywords": ["\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Physics", "QC1-999", "Atmospheric physics", "Aerosols atmosf\u00e8rics", "Atmospheric aerosols", "01 natural sciences", "Chemistry", "Cloud physics", "13. Climate action", "F\u00edsica atmosf\u00e8rica", "F\u00edsica dels n\u00favols", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria qu\u00edmica::Qu\u00edmica del medi ambient::Qu\u00edmica atmosf\u00e8rica", "QD1-999", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/1785/2023/acp-23-1785-2023.pdf"}, {"href": "https://doi.org/2117/382091"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/382091", "name": "item", "description": "2117/382091", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/382091"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-22T00:00:00Z"}}, {"id": "10.57755/w380-5s89", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:24:10Z", "type": "Dataset", "title": "TranslatedTitleplDane fotogrametryczne BSP dla pola ornego", "description": "Open AccessThe set contains low-altitude photogrammetry products (photogrammetry using an Unmanned Aerial Vehicle - UAV) for an arable field located in the village of Lubn\u00f3w (Lower Silesian Voivodeship, Poland). The flights were carried out on October 21, 2020 as part of the WATERAGRI project. The flights were carried out by a multi-rotor UAV: Aibot X6 v2 with a Nikon D800 camera equipped with a 24 mm focal length lens. The flight design was planned for an average ground sampling distance of 2 cm and included 12 parallel lines. A block of 769 photos was adjusted using 20 ground control points with camera self-calibration. After image block adjustment, a dense point cloud was created, from which a Digital Surface Model (DSM) was interpolated, and finally an orthomosaic was created. The point cloud was stored in the LAZ format, and the NMPT and orthomosaic in the GEOTIFF raster format. The resolution of raster data is 5 cm. The horizontal coordinates of all products are in the PL-1992 coordinate system (EPSG:2180), and the heights of the point cloud and DSM are in the PL-KRON86-NH vertical system.", "keywords": ["arable field", "ortomozaika", "pole orne", "BSP", "fotogrametria", "UAV", "Digital Surface Model", "Numeryczny Model Pokrycia Terenu", "orthomosaic", "point cloud", "chmura punkt\u00f3w"], "contacts": [{"organization": "J\u00f3\u017ak\u00f3w, Grzegorz, Karpina, Mateusz, Michalski, Adam, Fia\u0142kiewicz, Wies\u0142aw,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57755/w380-5s89"}, {"rel": "self", "type": "application/geo+json", "title": "10.57755/w380-5s89", "name": "item", "description": "10.57755/w380-5s89", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57755/w380-5s89"}, {"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": "2117/415321", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:34Z", "type": "Journal Article", "created": "2024-09-16", "title": "Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Given the importance of aerosols and clouds and their interactions in the climate system, it is imperative that the global Earth system models accurately represent processes associated with them. This is an important prerequisite if we are to narrow the uncertainties in future climate projections. In practice, this means that continuous model evaluations and improvements grounded in observations are necessary. Numerous studies in the past few decades have shown both the usability and the limitations of utilizing satellite-based observations in understanding and evaluating aerosol\u2013cloud interactions, particularly under varying meteorological and satellite sensor sensitivity paradigms. Furthermore, the vast range of spatio-temporal scales at which aerosol and cloud processes occur adds another dimension to the challenges faced when evaluating climate models. In this context, the aim of this study is two-fold. (1)\u00a0We evaluate the most recent, significant changes in the representation of aerosol and cloud processes implemented in the EC-Earth3-AerChem model in the framework of the EU project FORCeS compared with its previous CMIP6 version (Coupled Model Intercomparison Project Phase\u00a06; https://pcmdi.llnl.gov/CMIP6/, last access: 13\u00a0February\u00a02019). We focus particularly on evaluating cloud physical properties and radiative effects, wherever possible, using a satellite simulator. We report on the overall improvements in the EC-Earth3-AerChem model. In particular, the strong warm bias chronically seen over the Southern Ocean is reduced significantly. (2)\u00a0A statistical, maximum covariance analysis is carried out between aerosol optical depth (AOD) and cloud droplet (CD) effective radius based on the recent EC-Earth3-AerChem/FORCeS simulation to understand to what extent the Twomey effect can manifest itself in the larger spatio-temporal scales. We focus on the three oceanic low-level cloud regimes that are important due to their strong net cooling effect and where pollution outflow from the nearby continent is simultaneously pervasive. We report that the statistical covariability between AOD and CD effective radius is indeed dominantly visible even at the climate scale when the aerosol amount and composition are favourably preconditioned to allow for aerosol\u2013cloud interactions. Despite this strong covariability, our analysis shows a strong cooling/warming in shortwave cloud radiative effects at the top of the atmosphere in our study regions associated with an increase/decrease in CD effective radius. This cooling/warming can be attributed to the increase/decrease in low cloud fraction, in line with previous observational studies.</p></article>", "keywords": ["Climatology", "QE1-996.5", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "550", "Geology", "Aerosols atmosf\u00e8rics", "15. Life on land", "Atmospheric aerosols", "An\u00e0lisi de covari\u00e0ncia", "Meteorology and Atmospheric Sciences", "13. Climate action", "Clouds", "Climatologia", "Analysis of covariance", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Meteorologi och atmosf\u00e4rsvetenskap", "14. Life underwater", "N\u00favols"]}, "links": [{"href": "https://gmd.copernicus.org/articles/17/6903/2024/gmd-17-6903-2024.pdf"}, {"href": "https://doi.org/2117/415321"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/415321", "name": "item", "description": "2117/415321", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/415321"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-15T00:00:00Z"}}, {"id": "1ff103b563b961b09e0d6df12278052e", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:20Z", "type": "Report", "title": "DISSEC-ML \u02f8 towards distributed and secured machine learning in the personal cloud", "description": "Open AccessLes initiatives comme le Blue Button et les nouvelles r\u00e9glementations comme le RGPD europ\u00e9en visent \u00e0 permettre aux individus de r\u00e9cup\u00e9rer leurs donn\u00e9es personnelles aupr\u00e8s des entreprises ou des organismes qui les ont recueillies. Parall\u00e8lement, des plateformes, qu'on appelle Personal Data Management System (PDMS), Personal Information Management System (PIMS) ou Cloud Personnel se d\u00e9veloppent rapidement et permettent aux utilisateurs de regrouper tout leur patrimoine num\u00e9rique. Le paradigme PDMS promet d'ouvrir la voie \u00e0 de nouveaux usages innovants d\u00e9velopp\u00e9s autour des donn\u00e9es personnelles, et de r\u00e9aliser notamment des calculs distribu\u00e9s sur un grand nombre de PDMS (e.g., classification automatique, recommandations, \u00e9tudes participatives). De tels exemples n\u00e9cessitent souvent la formation d'un mod\u00e8le d'intelligence artificielle (IA) bas\u00e9 sur un grand volume de donn\u00e9es des utilisateurs, soulevant \u00e9galement d'importants d\u00e9fis au niveau de la protection de la vie priv\u00e9e et de la performance d'un tel calcul. Ainsi, l'organisation d'un calcul distribu\u00e9 s\u00e9curis\u00e9 et efficace entre un grand nombre de PDMS peut s'av\u00e9rer complexe, surtout en pr\u00e9sence d'un nombre potentiellement important de n\u0153uds corrompus. Cette th\u00e8se CIFRE est r\u00e9alis\u00e9e avec la soci\u00e9t\u00e9 Cozy Cloud qui propose une solution libre de cloud personnel, Cozy. L'objectif est de fournir une \u00e9tude approfondie de ce probl\u00e8me nouveau et crucial et de proposer des solutions appropri\u00e9es pour entra\u00eener efficacement un mod\u00e8le d'IA (e.g., un r\u00e9seau neuronal profond) dans un syst\u00e8me totalement distribu\u00e9 tout en offrant de solides garanties de s\u00e9curit\u00e9 aux n\u0153uds participants. Les r\u00e9sultats, sous forme de protocoles et d'algorithmes d'ex\u00e9cution distribu\u00e9s, s\u00e9curis\u00e9s et fiables seront appliqu\u00e9s \u00e0 des cas pratiques fournis par la soci\u00e9t\u00e9 Cozy Cloud.", "keywords": ["Machine Learning", "Cloud personnel", "Personal data", "Privacy", "Calcul distribu\u00e9", "Personal Cloud", "Data leakage", "[INFO.INFO-DC] Computer Science [cs]/Distributed", " Parallel", " and Cluster Computing [cs.DC]", "Apprentissage automatique", "Distributed computations", "Fuite de donn\u00e9es", "Confidentialit\u00e9", "Donn\u00e9es personnelles"], "contacts": [{"organization": "Mirval, Julien", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1ff103b563b961b09e0d6df12278052e"}, {"rel": "self", "type": "application/geo+json", "title": "1ff103b563b961b09e0d6df12278052e", "name": "item", "description": "1ff103b563b961b09e0d6df12278052e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1ff103b563b961b09e0d6df12278052e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "20.500.14468/25333", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:28Z", "type": "Journal Article", "created": "2019-01-29", "title": "Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtual laboratories. Internet of Things (IoT) devices can be used as remote or virtual laboratories. In addition to this, they can be organized/orchestrated to build remote maker spaces through the web. These types of spaces are called the Web of Things (WoT). This paper proposes the use of these types of spaces and their integration as practical activities into the curricula of technological subjects. This approach will allow us to achieve two fundamental objectives: (1) To improve the academic results (grades) of students; and (2) to increase engagement and interest of students in the studied technologies, including IoT devices. These platforms are modeled using archetypes based on different typologies and usage scenarios. In particular, these usage scenarios will implement a learning strategy for each problem to be solved. The current work shows the evolution of these archetypes and their application in the teaching of disciplines/subjects defined in computer science, such as distributed computing and cybersecurity.</p></article>", "keywords": ["learning analytics", "Technology", "9. Industry and infrastructure", "T", "4. Education", "cloud computing", "05 social sciences", "computer science education", "0503 education", "Internet of Things (IoT)", "Web of Things (WoT)"]}, "links": [{"href": "http://www.mdpi.com/2227-7080/7/1/17/pdf"}, {"href": "https://doi.org/20.500.14468/25333"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Technologies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14468/25333", "name": "item", "description": "20.500.14468/25333", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14468/25333"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-27T00:00:00Z"}}, {"id": "2117/444074", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:25:35Z", "type": "Journal Article", "created": "2025-08-20", "title": "Assessing the global contribution of marine aerosols,  terrestrial bioaerosols, and desert dust  to ice-nucleating particle concentrations", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Aerosol\u2013cloud interactions, particularly ice processes in mixed-phase clouds (MPCs), remain a key source of uncertainty in climate change assessments. This study introduces state-of-the-art laboratory-based parameterizations into a global chemistry\u2013transport model to investigate the contributions of mineral dust (specifically K-feldspar and quartz), marine primary organic aerosol (MPOA), and terrestrial primary biological aerosol particles (PBAPs) to ice-nucleating particles (INPs) in MPCs. The model suggests that INPs originating from PBAPs (INPPBAP) are the primary source of INPs at low altitudes between \u221210 and \u221220\u2009\u00b0C, particularly in the tropics, with a pronounced peak in the Northern Hemisphere (NH) during the boreal summer. INPPBAP contributes over 40\u2009% of the total simulated INP column burden at midlatitudes. Dust-derived INPs (INPD) are prominent at high altitudes across all seasons, dominating at temperatures below \u221220\u2009\u00b0C, and they constitute over 89\u2009% of the INP average column burden at high latitudes in the NH and about 74\u2009% at high latitudes in the Southern Hemisphere (SH). MPOA-derived INPs (INPMPOA) prevail in the SH at low altitudes, particularly at subpolar and polar latitudes for temperatures above \u221220\u2009\u00b0C, where they represent between 17\u2009% and 36\u2009% of the INP column population, depending on the\u00a0season. When evaluated against available global observational INP data, the model achieves its highest predictability across all temperature ranges when both INPD and INPMPOA are included as independent INP sources. The addition of INPPBAP does not enhance the model's ability to reproduce the available observations; however, INPPBAP remains a key contributor to warm-temperature ice-nucleation events. Therefore, consideration of dust, marine aerosol, and terrestrial bioaerosols as distinct INP species is required to simulate ice nucleation in climate models.                     </p></article>", "keywords": ["\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Degradaci\u00f3 ambiental::Canvi clim\u00e0tic", "Climate change", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Aerosol-cloud interactions"]}, "links": [{"href": "https://doi.org/2117/444074"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2117/444074", "name": "item", "description": "2117/444074", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2117/444074"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-20T00:00:00Z"}}, {"id": "3129584562", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:26:10Z", "type": "Journal Article", "created": "2021-02-23", "title": "Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Land use and land cover are continuously changing in today\u2019s world. Both domains, therefore, have to rely on updates of external information sources from which the relevant land use/land cover (classification) is extracted. Satellite images are frequent candidates due to their temporal and spatial resolution. On the contrary, the extraction of relevant land use/land cover information is demanding in terms of knowledge base and time. The presented approach offers a proof-of-concept machine-learning pipeline that takes care of the entire complex process in the following manner. The relevant Sentinel-2 images are obtained through the pipeline. Later, cloud masking is performed, including the linear interpolation of merged-feature time frames. Subsequently, four-dimensional arrays are created with all potential training data to become a basis for estimators from the scikit-learn library; the LightGBM estimator is then used. Finally, the classified content is applied to the open land use and open land cover databases. The verification of the provided experiment was conducted against detailed cadastral data, to which Shannon\u2019s entropy was applied since the number of cadaster information classes was naturally consistent. The experiment showed a good overall accuracy (OA) of 85.9%. It yielded a classified land use/land cover map of the study area consisting of 7188 km2 in the southern part of the South Moravian Region in the Czech Republic. The developed proof-of-concept machine-learning pipeline is replicable to any other area of interest so far as the requirements for input data are met.</p></article>", "keywords": ["Geography (General)", "0211 other engineering and technologies", "land use", "cloud masking", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "satellite imagery", "machine learning", "land cover", "Sentinel 2", "machine learning; land use; land cover; satellite imagery; Sentinel 2; image classification; cloud masking; LightGBM estimator", "G1-922", "0401 agriculture", " forestry", " and fisheries", "LightGBM estimator", "image classification"]}, "links": [{"href": "http://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://www.mdpi.com/2220-9964/10/2/102/pdf"}, {"href": "https://doi.org/3129584562"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20International%20Journal%20of%20Geo-Information", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3129584562", "name": "item", "description": "3129584562", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3129584562"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-23T00:00:00Z"}}, {"id": "3207901193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:26:17Z", "type": "Journal Article", "created": "2021-10-21", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/3207901193"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3207901193", "name": "item", "description": "3207901193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3207901193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "3172178299", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:26:14Z", "type": "Journal Article", "created": "2021-06-12", "title": "Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework", "description": "Assessment of soil loss and understanding its major drivers are essential to implement targeted management interventions. We have proposed and developed a Revised Universal Soil Loss Equation framework fully implemented in the Google Earth Engine cloud platform (RUSLE-GEE) for high spatial resolution (90 m) soil erosion assessment. Using RUSLE-GEE, we analyzed the soil loss rate for different erosion levels, land cover types, and slopes in the Blue Nile Basin. The results showed that the mean soil loss rate is 39.73, 57.98, and 6.40 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> for the entire Blue Nile, Upper Blue Nile, and Lower Blue Nile Basins, respectively. Our results also indicated that soil protection measures should be implemented in approximately 27% of the Blue Nile Basin, as these areas face a moderate to high risk of erosion (&gt;10 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> ). In addition, downscaling the Tropical RainfallMeasuring Mission (TRMM) precipitation data from 25 km to 1 km spatial resolution significantly impacts rainfall erosivity and soil loss rate. In terms of soil erosion assessment, the study showed the rapid characterization of soil loss rates that could be used to prioritize erosion mitigation plans to support sustainable land resources and tackle land degradation in the Blue Nile Basin.", "keywords": ["Conservation of Natural Resources", "Revised Universal Soil Loss Equation", "0207 environmental engineering", "TRMM spatial downscaling", "02 engineering and technology", "15. Life on land", "6. Clean water", "Soil", "13. Climate action", "Soil loss severity analysis", "Geographic Information Systems", "Cloud computing", "Google Earth Engine", "Environmental Monitoring", "Soil Erosion"]}, "links": [{"href": "https://doi.org/3172178299"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3172178299", "name": "item", "description": "3172178299", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3172178299"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "34175609", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:26:24Z", "type": "Journal Article", "created": "2021-06-12", "title": "Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework", "description": "Assessment of soil loss and understanding its major drivers are essential to implement targeted management interventions. We have proposed and developed a Revised Universal Soil Loss Equation framework fully implemented in the Google Earth Engine cloud platform (RUSLE-GEE) for high spatial resolution (90 m) soil erosion assessment. Using RUSLE-GEE, we analyzed the soil loss rate for different erosion levels, land cover types, and slopes in the Blue Nile Basin. The results showed that the mean soil loss rate is 39.73, 57.98, and 6.40 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> for the entire Blue Nile, Upper Blue Nile, and Lower Blue Nile Basins, respectively. Our results also indicated that soil protection measures should be implemented in approximately 27% of the Blue Nile Basin, as these areas face a moderate to high risk of erosion (&gt;10 t ha<sup>\u22121</sup> yr<sup>\u22121</sup> ). In addition, downscaling the Tropical RainfallMeasuring Mission (TRMM) precipitation data from 25 km to 1 km spatial resolution significantly impacts rainfall erosivity and soil loss rate. In terms of soil erosion assessment, the study showed the rapid characterization of soil loss rates that could be used to prioritize erosion mitigation plans to support sustainable land resources and tackle land degradation in the Blue Nile Basin.", "keywords": ["Conservation of Natural Resources", "Revised Universal Soil Loss Equation", "0207 environmental engineering", "TRMM spatial downscaling", "02 engineering and technology", "15. Life on land", "6. Clean water", "Soil", "13. Climate action", "Soil loss severity analysis", "Geographic Information Systems", "Cloud computing", "Google Earth Engine", "Environmental Monitoring", "Soil Erosion"]}, "links": [{"href": "https://doi.org/34175609"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "34175609", "name": "item", "description": "34175609", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34175609"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "PMC10097241", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:28:15Z", "type": "Journal Article", "created": "2023-03-24", "title": "Do Nitrogen and Phosphorus Additions Affect Nitrogen Fixation Associated with Tropical Mosses?", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Tropical cloud forests are characterized by abundant and biodiverse mosses which grow epiphytically as well as on the ground. Nitrogen (N)-fixing cyanobacteria live in association with most mosses, and contribute greatly to the N pool via biological nitrogen fixation (BNF). However, the availability of nutrients, especially N and phosphorus (P), can influence BNF rates drastically. To evaluate the effects of increased N and P availability on BNF in mosses, we conducted a laboratory experiment where we added N and P, in isolation and combined, to three mosses (Campylopus sp., Dicranum sp. and Thuidium peruvianum) collected from a cloud forest in Peru. Our results show that N addition almost completely inhibited BNF within a day, whereas P addition caused variable results across moss species. Low N2 fixation rates were observed in Campylopus sp. across the experiment. BNF in Dicranum sp. was decreased by all nutrients, while P additions seemed to promote BNF in T. peruvianum. Hence, each of the three mosses contributes distinctively to the ecosystem N pool depending on nutrient availability. Moreover, increased N input will likely significantly decrease BNF associated with mosses also in tropical cloud forests, thereby limiting N input to these ecosystems via the moss-cyanobacteria pathway.</p></article>", "keywords": ["nutrient limitation", "cyanobacteria; ecosystem ecology; global change; mosses; nitrogen fixation; nutrient limitation; phosphorus; tropical cloud forest", "Botany", "ecosystem ecology", "15. Life on land", "Milj\u00f6vetenskap", "cyanobacteria", "Article", "mosses", "13. Climate action", "nitrogen fixation", "QK1-989", "tropical cloud forest", "phosphorus", "Environmental Sciences", "global change"]}, "links": [{"href": "http://www.mdpi.com/2223-7747/12/7/1443/pdf"}, {"href": "https://www.mdpi.com/2223-7747/12/7/1443/pdf"}, {"href": "https://doi.org/PMC10097241"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC10097241", "name": "item", "description": "PMC10097241", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC10097241"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-24T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cloud&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cloud&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cloud&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=cloud&offset=33", "hreflang": "en-US"}], "numberMatched": 33, "numberReturned": 33, "distributedFeatures": [], "timeStamp": "2026-07-27T12:51:35.980253Z"}