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599 results for “hungary”
Fig. 5 in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 5. Male Bilharziella polonica from the liver of a mallard.
Fig. 8 in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 8. (continued).
Fig. 7 in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 7. Ocellata-type of furcocercaria emerged from Radix auricularia.
FIGURE 2 in A remarkably well-preserved terrestrial isopod (Peracarida: Isopoda: Armadillidiidae) from the upper Oligocene of Hungary, with remarks on the oniscidean taphonomy
FIGURE 2. Section exposed at the Wind Brickyard in Eger, Hungary. See text for comments.
Agrobiodiversity and habitat data of organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Pollinator data in organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Fig. 1 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary
Fig. 1. Locality map showing the site where the pterosaur remains were found.
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Hungary
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
Collecting data on Hungarian traditional/local pulse varieties, on legume production, consumption and trade of food-purpose pulses in Hungary
<p>Summary data on traditional and local Hungarian pulse varieties will be provided. This will include a systematic summary of all legume species and varieties used for food and feed that are stored in the seed bank data of the National Plant Diversity Centre, Hungary.</p> <p>Statistical data mined from the database of the Hungarian Central Statistical Office (CSO) on the production of the most significant food and feed legumes in Hungary, the household consumption of the some food-used pulses, as well as the food industry processing and the national trade of pulses.</p> <p>Mining and summarizing existing data from different resources will be performed during 2017 and will be provided by February 2018. Statistical data on production, consumption and traded will be supplemented during the project with the updates of CSO databases. Methodologies used will be desk research and primer analysis.</p>
The data table of eleven invasive species in Hungary and Romania: Invasive species' cover, invasive species' traits, basic characteristics, trait composition, functional diversity indices and soil parameters of recipient plant communities
<p>We studied 11 widespread herbaceous invasive alien species of East-Central Europe and their 16 impact metrics (resident plant communities' ecological characteristics, trait composition, functional diversity, and soil parameters) by sampling invaded and similar, uninvaded sites (space-for-time substitution method). Our aim was to (1) investigate the detailed ecological impacts of invasive plants on native plant communities; (2) explore the type of cover-impact relationships across impact metrics and their consistency across species; (3) study whether the cover-impact relationship depends on functional traits of invasive species. We present the data table with the 11 invasive species: the status of the sites (invaded, uninvaded), the cover of invasive species at plot level, the invasive species traits (lifespan, height, SLA, seed mass, clonal spread, flowering duration), community characteristics (species richness and diversity, native vegetation cover and bare ground cover at plot level), trait composition of native plant communities (native vegetation height, CWM height, CWM SLA, CWM seed mass, CWM clonal spread), functional diversity (functional richness, functional evenness, functional divergence, functional distance, RaoQ) and soil properties (N, P, organic C, pH).</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Hungary
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: National Food Chain Safety Office</p>
Grammar learning strategies: Hungary & Poland: Pawlak & Csizér (2022)
<p>Dataset for the study investigating the use of grammar learning strategies by Polish and Hungarian university students majoring in English.</p>
Citizen science data on the presence of invasive mosquitoes in Hungary
<ol> <li><span>Climate change, intensified tourism and trade activity result in several exotic mosquito species invading the temperate zone, which has considerable ecological and economic consequences and threatens human health due to the pathogen-transmitting role of these organisms. Accordingly, three invasive mosquito species (<em>Aedes</em> <em>albopictus</em>, <em>Ae. japonicus</em>, and <em>Ae. koreicus</em>) have been described in the last decade in Hungary, a Central European country. It is crucial to understand how invasive species are introduced and their distribution is expanded at the country-level, for which intense surveillance programs are needed.</span></li> <li><span>We have established a citizen science program, in which we asked the public to submit reports on their observations of invasive mosquitoes. During a three-year campaign, we have collected and taxonomically validated about 3,000 reports that can be arranged along both the temporal and spatial scales. We aggregated these observations into 35 km<sup>2</sup> quadrats and examined if these can be reliably used for scientific inferences.</span></li> <li><span>We first found that the number of validated reports in a quadrat depends on the underlying sampling effort (i.e., number of total reports), but this relationship varies among species and study years. Second, after controlling for study effort, we showed that the prevalence and presence/absence of invasive mosquitoes within quadrats are significantly repeatable among years, but this consistency varies in a species-specific way. Third, we demonstrated that conclusions about the local presence/absence of focal species based on citizen reports corroborate well the results of direct field sampling with conventional trapping protocols. </span></li> <li> <em><span>Synthesis and applications.</span></em><span> We suggest that if the reporting intensity is appropriate (i.e., the number of reports reaches a species-specific threshold), citizen science results can be used to derive biologically meaningful conclusions about the distribution of invasive mosquitoes in a country. Distribution maps of the three invasive species in Hungary can be used to identify ecological predictors that determine such spatial patterns and also to develop a mosquito control program and assess epidemiological risk. </span> </li> </ol>
FIG. 12 in Analysis of lichen secondary chemistry doubled the number of Cetrelia W.L. Culb. & C.F. Culb. species (Parmeliaceae, lichenised Ascomycota) in Hungary
FIG. 12. — Altitudinal distribution of Cetrelia W.L.Culb.& C.F.Culb.species in Hungary.
FIG. 9 in Analysis of lichen secondary chemistry doubled the number of Cetrelia W.L. Culb. & C.F. Culb. species (Parmeliaceae, lichenised Ascomycota) in Hungary
FIG. 9. — Distribution of Cetrelia monachorum (Zahlbr.) W.L. Culb. & C.F. Culb. in Hungary.
FIG. 8 in Analysis of lichen secondary chemistry doubled the number of Cetrelia W.L. Culb. & C.F. Culb. species (Parmeliaceae, lichenised Ascomycota) in Hungary
FIG. 8. — Distribution of Cetrelia chicitae (W.L.Culb.) W.L. Culb.& C.F. Culb.in Hungary.
Internet Attitudes - Our Region and the World Wide Web. International research and analysis in the Czech Republic, Poland, Hungary and Romania
<p>This research by the Institute of the Information Society of the University of Public Service, involving four Central European countries: the Czech Republic, Poland, Hungary and Romania, examined the characteristics of the use of information technology by the adult population in the region, mainly for communication purposes. A telephone survey was conducted in October and November 2019, and the results are representative of the population over 18 years of age in the four countries categorised by age, gender, education, type of settlement and region. In the repository there is the database, the short survey report can be found here: <a href="https://iis.uni-nke.hu/hirek/2021/05/19/internet-attitudes-our-region-and-the-world-wide-web">https://iis.uni-nke.hu/hirek/2021/05/19/internet-attitudes-our-region-and-the-world-wide-web</a></p>
Dataset for "Calibration of CAMS PM2.5 data over Hungary: A machine learning approach"
<p>This study utilized air quality information from eleven particular checking locales arranged all through Hungary. The informational index contains in-situ estimations of particulate matter with a width of 2.5 micrometers or less (PM2.5). Moreover, the dataset incorporates matching PM2.5 gauges from the Copernicus Climate Checking Administration (CAMS) model, which makes it a valuable asset for correlation and adjustment. The dataset incorporates various seasons, considering an exhaustive assessment of PM tainting under different climatic circumstances.</p>
Tax morale in Hungary
<p>The dataset is based on an online survey on Hungarian taxpayers' behavior. Data collection was prepared by NRC Market Research Ltd. and took place in July, 2021, with 500 respondents.</p>
Dataset of the chipped stone assemblage from the Neolithic site of Karancsság (Nógrád county, Hungary)
<p>The Excel file contains all the information of every chipped stones discovered at the Karancsság-Alsó-rétek site (Nógrád county, Hungary). The material is stored in Kubinyi Ferenc Museum (Szécsény, Hungary).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.