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6,170 results for “european”
EU project OCEAN:ICE Deliverable: D1.4 Gridded European circumpolar sea ice production fluxes
<p>This deliverable is a new dataset of sea ice production (SIP) in Antarctic coastal polynyas, critical regions for sea ice formation and dense water formation. Using Earth Observation data and atmospheric reanalysis, we use a heat budget method to estimate the SIP. We use sea ice concentration (SIC) from passive microwave sensors and ECMWF ERA5 reanalysis for near-surface wind speed and surface air temperature. Comparison against previous literature shows broad consistency in spatial patterns and magnitude of ice production, with notable variations across larger polynyas. Despite simplifications and thereby increased uncertainties in the absolute ice production values, the data set provides valuable insights into the dynamics and variability of Antarctic polynya SIP for the period 1992-2023.</p>
Replication files for "Distance(s) and the volatility of international trade(s) (2024)" by Arnaud Mehl, Giulia Sabbadini, Martin Schmitz, and Cedric Tille, European Economic Review 167
<p>Replication files for "Distance(s) and the volatility of international trade(s) (2024)" by Arnaud Mehl, Giulia Sabbadini, Martin Schmitz, and Cedric Tille, European Economic Review 167. Science direct : https://www.sciencedirect.com/science/article/pii/S0014292124000862?via%3Dihub</p> <p>Contains three folder, each with detailed steps: </p> <p>-Replication_country_level_results</p> <p>-Replication_product_level_results</p> <p>-Tables_figures</p>
European funded projects related to integrated robotic sensing
<p>This repository contains the metadata of 1371 projects in tabular form (combinedProjectData.xlsx). The data was extracted from the European Union’s COmmunity Research and Development Information Service (CORDIS) repository.</p> <p>The dataset was used to support a review of the latest advancements in integrated robotic sensing. CORDIS was interrogated using a Boolean search, combining multiple chosen search terms using precise logical relationships, such as AND and OR. This search approach was used to obtain precise and relevant search results by specifying the relationships among the search terms, saving time and effort while minimising the likelihood of encountering irrelevant or unrelated material. The following Boolean search string was used: “(‘robot’ OR ‘robotic’ OR ‘robotically’ OR ‘roboti?ed’) AND (‘non-destructive’ OR ‘inspection’ OR ‘evaluation’ OR ‘NDT’ OR ‘NDE’ OR ‘sensing’ OR ‘sensor’)”. This resulted in searching projects whose title and short description (teaser) contained at least one of the words in the first set of brackets and at least one in the second set. Note that the “?” in ‘roboti?ed’ allowed looking for the presence of both the British English word “robotised” and the respective American English version “robotized”.</p> <p>Additionally, the search results were filtered according to the funding schemes. For the sake of reviewing the recent landscape, only projects funded through the HORIZON 2020 and HORIZON EUROPE schemes were considered. The described filtered search returned 1371 projects. The resulting metadata was extracted from the CORDIS repository for each of the found projects: the project start date, the end date, the total cost, the total EU contribution, the fields of science related to the project, the coordinating institution, and the participating institutions. The fields of science of each project are given as a list of strings detailing the fields of science related to the project. Each string shows a variable-depth hierarchy from the broadest classification to specific fields (e.g., “engineering and technology/materials engineering/composites”), following the hierarchical framework adopted by the European Commission. Finally, whereas each project has one and only one coordinator, it can have none, one or multiple participants. For the coordinator and each participant (if present), the following information was extracted: country of the coordinating/participating institution, amount of EU contribution received, amount of other funds available to the institution and the project outcome in terms of peer-reviewed journal papers, conference contributions and filed patents.</p> <p>Thus, the project metadata extracted from CORDIS was thoroughly analysed. The "fieldsOfScience_SunburstPlot.xlsx" file contains a sunburst chart that offers a lucid overview of the diverse scientific disciplines of the selected projects. The analysis of the fields of science strings has revealed a hierarchical depth going up to the seventh classification level, showing great permeance of robotic NDT and robotic sensing into numerous and specific fields.</p>
Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
<p>Masting, the spatial synchronization of interannual variation in seed production, can enhance reproductive efficiency through positive density-dependent processes (DD) that result in economies of scale (EOS), such as decreased pollen limitation and predator satiation in years of high reproduction. While the general occurrence of such EOS effects has been documented for masting species, few studies simultaneously investigated how spatial and temporal variation in reproduction affects pollination and predation. Furthermore, it is unclear whether the same mechanisms apply to co-occurring species with different levels of conspecific density, pollen limitation, and seed defenses. Here, we use a long-term data set with high spatial resolution of seed production of European beech (<em>Fagus sylvatica</em>), Norway spruce (<em>Picea abies</em>), and silver fir (<em>Abies alba</em>) in a primeval montane forest to investigate the relationship between reproductive effort, pollination efficiency, and predispersal predation by insects. We found that, along the temporal axis, the proportion of sound (fertilized and unpredated) seeds correlated positively with annual seed production over the 14-year study period in all three species, most strongly in beech and only weakly in silver fir. Moreover, the results show that in beech, spatial seed density interacts with plot-wide annual seed rain to enhance DD effects on seed predation, suggesting additive effects of synchronous reproduction on fitness benefits.</p> <p>Synthesis: For both pollination and predispersal predation in beech and spruce, the strongest DD effects occur at low levels of reproduction and quickly reach asymptotes at higher levels, suggesting the presence of thresholds in different EOS mechanisms. As variability and synchrony in mast-seeding are expected to decline with climate change, EOS effects driven by DD may remain stable until the threshold is reached, at which sudden declines would result in devastating effects on the availability of viable seeds for germination and recruitment.</p>
Fig. 14 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 14. Female terminalia of Delia antiqua: a = dorsal, b = ventral view
Fig. 5 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 5. Pregenital (5th) sternite of Delia platura male
Fig. 13 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 13. Female terminalia of Delia radicum: a = dorsal and b = ventral view
Fig. 6 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 6. Surstyli and cercus of Delia platura male
Fig. 2 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 2. Delia antiqua male
Fig. 9 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 9. Surstyli and cercus of Delia radicum male
Fig. 12 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 12. Surstyli and cercus of Delia floralis male
Fig. 8 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 8. Pregenital (5th) sternite of Delia radicum male
Fig. 1 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 1. Delia radicum female
Fig. 7 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 7. Male terminalia of Delia platura in lateral view
Fig. 3 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 3. Hind leg of Delia platura male
Fig. 11 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 11. Pregenital (5th) sternite of Delia floralis male
Fig. 10 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 10. Male terminalia of Delia radicum in lateral view
Fig. 1 in Epidemiological Characteristics Of Cephenemyia Stimulator (Clark, 1815) Larval Infestation In European Roe Deer (Capreolus Capreolus) In Hungary
Fig. 1. Monthly dynamics of second-stage (L2) and third-stage (L3) larvae
Figure 2 in Colour variations in the European tree frog, Hyla arborea (Linnaeus, 1758), from two small adjacent ponds in the Vojvodina province, Serbia
Figure 2: Example of high density of Tree frogs on the reeds. Photo: Aleksandar Simović.
Figure 5 in Colour variations in the European tree frog, Hyla arborea (Linnaeus, 1758), from two small adjacent ponds in the Vojvodina province, Serbia
Figure 5. Almost completely black Hyla arborea. Photos: Aleksandar Simović and Sonja Đorđević.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.