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174 results for “Hungarian”

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zenodo48/100

Vis-NIR Soil Spectral Library of the Hungarian Soil Degradation Observation System

<p>Since soil spectroscopy is considered to be a fast, simple, accurate and non-destructive analytical method, its application can be integrated with wet analysis as an alternative. Therefore, development of national-level soil spectral libraries containing information about all soil types represented in a country is continuously increasing to serve as a basis for calibrated predictive models capable of assessing physical and chemical parameters of soils at multiple spatial scales. In this article, we present a database containing laboratory and visible-near infrared spectral data of legacy soil samples from the Hungarian Soil Degradation Observation System (HSDOS). The published data set includes the following parameters measured in 5,490 soil samples: pH<sub>KCl</sub>, soil organic matter (SOM), calcium carbonate (CaCO<sub>3</sub>), total salt content (TSC), total nitrogen (N<sub>total</sub>), soluble phosphorus (P<sub>2</sub>O<sub>5</sub>-AL), soluble potassium (K<sub>2</sub>O-AL), plasticity index according to Hungarian standard (PLI), soil profile depth and reflectance data between 350 and 2,500 nm wavelength. The presented database can be a complement for further soil related research on continental, national or regional scales to support sustainable soil management.</p> <p>Uploaded CSV file contains variables for general information, soil parameters and reflectance data of spectral bands between 350-2,500 nm. Details about variables can be found in Table 1.</p> <table> <tbody> <tr> <td> <p>Column name</p> </td> <td> <p>Description</p> </td> <td> <p>Method</p> </td> <td> <p>Unit</p> </td> </tr> <tr> <td> <p>SAMPLE_TDR_ID</p> </td> <td> <p>Original TDR IDs</p> </td> <td> <p>-</p> </td> <td> <p>-</p> </td> </tr> <tr> <td> <p>SAMPLING_DATE</p> </td> <td> <p>Date of sampling</p> </td> <td> <p>-</p> </td> <td> <p>YYYY-MM-DD</p> </td> </tr> <tr> <td> <p>NORTHING_EOV</p> </td> <td> <p>Northing coordinate of sampling area centroids</p> </td> <td> <p>-</p> </td> <td> <p>m</p> </td> </tr> <tr> <td> <p>EASTING_EOV</p> </td> <td> <p>Easting coordinate of sampling area centroids</p> </td> <td> <p>-</p> </td> <td> <p>m</p> </td> </tr> <tr> <td> <p>LON_WGS84</p> </td> <td> <p>Longitude of sampling area centroids</p> </td> <td> <p>-</p> </td> <td> <p>&deg;</p> </td> </tr> <tr> <td> <p>LAT_WGS84</p> </td> <td> <p>Latitude of sampling area centroids</p> </td> <td> <p>-</p> </td> <td> <p>&deg;</p> </td> </tr> <tr> <td> <p>pH_KCl</p> </td> <td> <p>pH</p> </td> <td> <p>Potentiometer (MSZ&ndash;08 0206-2: 1978)<sup>40</sup></p> </td> <td> <p>-</p> </td> </tr> <tr> <td> <p>SOM</p> </td> <td> <p>Soil organic matter</p> </td> <td> <p>E4/E6 ratio<sup>41</sup><sup>,</sup><sup>42</sup> (MSZ&ndash;08-0452:1980)<sup>43</sup></p> </td> <td> <p>%</p> </td> </tr> <tr> <td> <p>CaCO3</p> </td> <td> <p>Calcium carbonate</p> </td> <td> <p>Scheibler type calcimeter (MSZ&ndash;08 0206-2:1978)<sup>40</sup></p> </td> <td> <p>%</p> </td> </tr> <tr> <td> <p>TSC</p> </td> <td> <p>Total salt content</p> </td> <td> <p>EC-TDS electrode (MSZ&ndash;08-0206-2:1978)<sup>40</sup></p> </td> <td> <p>w/w %</p> </td> </tr> <tr> <td> <p>TN</p> </td> <td> <p>Total nitrogen</p> </td> <td> <p>Kjeldahl method<sup>44</sup> (ISO 11261:1995)<sup>45</sup></p> </td> <td> <p>mg kg<sup>-1</sup></p> </td> </tr> <tr> <td> <p>P2O5_AL</p> </td> <td> <p>Soluble phosphorus</p> </td> <td> <p>AL extract atomic adsorption spectrophotometry (MSZ 20135:1999)<sup>46</sup></p> </td> <td> <p>mg kg<sup>-1</sup></p> </td> </tr> <tr> <td> <p>K2O_AL</p> </td> <td> <p>Soluble potassium</p> </td> <td> <p>AL extract, flame photometer (MSZ 20135:1999)<sup>46</sup></p> </td> <td> <p>mg kg<sup>-1</sup></p> </td> </tr> <tr> <td> <p>PLI</p> </td> <td> <p>Plasticity index according to Hungarian standard</p> </td> <td> <p>Yarn test of Arany (MSZ&ndash;08 0205-2:1978)<sup>47</sup></p> </td> <td> <p>-</p> </td> </tr> <tr> <td> <p>PROFILE_LEVEL</p> </td> <td> <p>Soil profile depth level</p> </td> <td> <p>-</p> </td> <td> <p>-</p> </td> </tr> <tr> <td> <p>SPC350:2500</p> </td> <td> <p>spectral reflectance in the range of 350 and 2500 nm</p> </td> <td> <p>ASD FieldSpec 4 spectroradiometer</p> </td> <td> <p>-</p> </td> </tr> </tbody> </table> <p>Table 1. Summary of included attributes and data set structure with laboratory test methods applied on the soil samples.</p> <p>&nbsp;</p> <p><strong>For more details / to cite this dataset please use:</strong></p> <p>M&eacute;sz&aacute;ros, J., Kov&aacute;cs, Zs., L&aacute;szl&oacute;, P., Vass-Meyndt, Sz., Ko&oacute;s, S., Pirk&oacute;, B., Szűcs-V&aacute;s&aacute;rhelyi, N., Bakacsi, Zs., Laborczi, A., Balog, K., &amp; P&aacute;sztor, L. (2024). Vis-NIR soil spectral library of the Hungarian Soil Degradation Observation System. <em>Sci Data</em>&nbsp;<strong>12</strong>, 363 (2025). https://doi.org/10.1038/s41597-025-04667-9</p>

opencc-by-4.0Oct 2024View details →
zenodo48/100

Hungarian word association network

<p>Hungarian word association network. The network was collected from the word association database ConnectYourMind, which collected associations online between 2008 and 2014, primarily in Hungarian. The network has 24580 nodes and 72709 links, where nodes represent words. A directed link from node A to B indicates, that word B was given as a response to word A in a free association task. The links are weighted according to the number of instances where the specific response was given. More details about the construction of the database can be found in English in (Kovacs et al., 2021) and exhaustively in Hungarian in (Kovacs, 2013). The network is shared in edgelist format. Each row has three values A;B;C. Each row indicates a directed link from node/word A to node/word B with a weight of C. The file uses utf encoding to represent Hungarian characters. Data available according to Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license</p> <p><br> Kovacs L. Fogalmi rendszerek es lexikai halozatok a ment&aacute;lis lexikonban. 2., atdolgozott, bovitett kiadas. (In Hungarian) Budapest: &nbsp;Tinta. 2013.</p> <p>Kovacs L, Bota A, Hajdu L, Kresz M. Networks in the mind - what communities reveal about the structure of the lexicon. Open Linguistics. 2021 Jan 1;7(1):181-99.</p> <p>Kov&aacute;cs L, B&oacute;ta A, Hajdu L, Kr&eacute;sz M. Brands, networks, communities: How brand names are wired in the mind. PLoS ONE 2022 17(8): e0273192. https://doi.org/10.1371/journal.pone.0273192</p> <p>When using the data, please give a reference to the data itself and to at least one of above mentioned publications.&nbsp;</p>

opencc-by-4.0Mar 2022View details →
zenodo48/100

Number of Attendees of Hungarian Open Science Forum Events, and Number of Visitors of KIFÜ Open Science Newsfeed

<p>Number of attendees of Hungarian Open Science Forum events, which took place on 28/5/2021, 24/9/2021, 19/1/2022, and 28/4/2022.</p> <p>Number of visitors of KIF&Uuml; open science newsfeed till 30/6/2022.&nbsp;Altogether 133 posts that were published&nbsp;between 5 May 2021 and 7 April 2022.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Demo bids for to demonstration areas in OneNet project of the Hungarian demonstration

<p>Bid auction data of a DSO flexibility market simulation data in two demo areas based on past real measurement, power gas exchange data.</p> <p>The two .csv files contain the bid data for all FSP assets in two demonstration areas, both are a given snippet of DSO networks used for congestion simulations, Demo Area 1 and Demo Area 2, respectively. The bids are simulated and based on post hoc day-ahead market data and measurements. All FSP assets are photovoltaic generators. For a given day every asset submits stepwise hourly bids for every hour of the day.</p> <p>The two .CSV files consist of the following columns:</p> <p>Date: the date that the bid is submitted to (YYYY-MM-DD)</p> <p>Time: the hour that the bid is submitted to (HH)</p> <p>AssetId: ID of the bidding asset (photovoltaic generator)</p> <p>quantity: quantity of a bid step for an hour of a day in MW</p> <p>price: the price of the bid step for an hour of a day in EUR</p> <p>&nbsp;</p> <p>More information on the demo areas can be found in the <a href="https://www.onenet-project.eu//wp-content/uploads/2023/10/OneNet_D10.4_V1.0.pdf">D10.4 Report on demonstration</a> deliverable of the OneNet project.</p> <p>public_demo_area_1.csv file represents the bids in the E.On demo area and the public_demo_area_2.csv file in the MVM demo area, respectively.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2024View details →
zenodo44/100

PrevDistro - Preverb Distributions in Hungarian

<p>PrevDistro (Preverb Distributions) is an open-source dataset containing 41.5 million corpus occurrences of 49 preverb-verb construction types. It consists of the following columns:</p> <ul> <li>1 <em>sid</em>: ID</li> <li>2 <em>constype</em>: construction type</li> <li>3 <em>subtype</em>: construction subtype</li> <li>4 <em>prevpos</em>: preverb position</li> <li>5 <em>prev</em>: preverb</li> <li>6 <em>verb</em>: verb lemma</li> <li>7 <em>intervening</em>: intervening words (as lemmas)</li> <li>8 <em>actform</em>: actual form (the same content as in column 10, but this column is lowercase)</li> <li>9 <em>left</em>: left context</li> <li>10 <em>kwic</em>: keyword in context</li> <li>11 <em>right</em>: right context</li> <li>12 <em>docid</em>: document ID from the Hungarian Gigaword Corpus</li> <li>13 <em>title</em>: document title</li> <li>14 <em>style</em>: document style (e.g. official, press, ...)</li> <li>15 <em>region</em>: document region (e.g. Transylvania, Subcarpathia, ...)</li> <li>16 <em>year</em>: year of publication (sometimes several years can be found in one document)</li> </ul> <p>The first row stands for the header. If a cell&#39;s value is unspecified, it is marked with underscore (_).</p>

opengpl-3.0-or-laterJun 2021View details →
zenodo44/100

Wikipedia: wikipedia-hu (Hungarian)

Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.<p></p>A Wikipédia egy szabad szerkesztésű, nyílt tartalmú, önkéntesekből álló közösség által fejlesztett enciklopédia, amit olyan emberek olvasnak, szerkesztenek, írnak, mint amilyen te is vagy. A Wikipédiával három dolgot tehetsz: olvashatod, szerkesztheted és írhatod. <p></p>https://hu.wikipedia.org/wiki

opencc-by-sa-4.0Aug 2024View details →
zenodo44/100

CLDF dataset derived from a preprint of 'Új magyar etimológiai szótár' [New Hungarian Etymological Dictionary] by Károly Gerstner (ed.)

<p>Cite the source of the dataset as:</p> <blockquote> <p>Gerstner, Károly (ed.) (2011-2023). Új magyar Etimológiai Szótár. Hungarian Academy of Sciences, Budapest. http://uesz.nytud.hu/.</p> </blockquote>

openmit-licenseMar 2022View details →
zenodo40/100

FIGURES 29 – 32 in New species of Bombylioidea in Mario Bezzi’s Unpublished Hungarian Museum Manuscript

FIGURES 29 – 32. Lectotype specimens of species of Bombyliidae referred to in Bezzi’s manuscript. 29 – 30, Litorrhynchus evanescens Bezzi [= Litorhina] (lectotype in MSNM). 29, female habitus. 30, wing. 31 – 32, Plesiocera biumbonata Bezzi [= Epacmoides] (lectotype in MSNM). 31, male habitus. 32, head.

opencc-zeroDec 2004View details →
zenodo40/100

FIGURE 3 in New species of Bombylioidea in Mario Bezzi’s Unpublished Hungarian Museum Manuscript

FIGURE 3. Examples of Bezzi labels. A, samples of Bezzi handwriting from two determination labels. B, labels from Exoprosopa fuscescens. C, labels from Bombylius braunsi [= Australoechus]. D, labels from Bombylius fucatus [= Parisus].

opencc-zeroDec 2004View details →
zenodo40/100

Hungarian results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - National Food Chain Safety Office</p> <p>MOPER_2022 - National Food Chain Safety Office</p> <p>MOPER_2021 - National Food Chain Safety Office</p> <p>MOPER_2020 - National Food Chain Safety Office</p> <p>MOPER_2019 - National Food Chain Safety Office</p> <p>MOPER_2018 - National Food Chain Safety Office</p> <p>MOPER_2017 - National Food Chain Safety Office</p> <p>MOPER_2016 - National Food Chain Safety Office</p> <p>MOPER_2015 - National Food Chain Safety Office</p> <p>MOPER_2014 - National Food Chain Safety Office</p> <p>MOPER_2013 - National Food Chain Safety Office</p> <p>MOPER_2012 - National Food Chain Safety Office</p> <p>MOPER_2011 - National Food Chain Safety Office</p> <p>&nbsp;</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Data on Companies of the Hungarian Battery Value Chain

<p>This dataset compiles data on companies of the Hungarian electric vehicle battery value chain. The data is accurate as of November 2024.&nbsp;</p> <p>The following data is presented:</p> <ul> <li>Position in the value chain;</li> <li>Company name;</li> <li>Data on the investment and investment subsidies provided by the Hungarian Government;</li> <li>Company financials (2023),</li> <li>Employee numbers, information on agency workers, average wages.</li> </ul>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 4 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species

Fig. 4. Occurrences of the non-indigenous microcrustacean species in the investigated artificial lakes of north-eastern Hungary. Abbrev.: Eurytemora velox: +, Daphnia ambigua: ▲, Pleuroxus denticu-

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 1 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species

Fig. 1. Species accumulation curves of the fish ponds for total microcrustaceans (a) and for cladocerans and copepods separately (b)

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 3 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species

Fig. 3. Frequency of occurrence (incl. species occurring in at least 5 fish ponds). Abbrev.: Chy_sph – Chydorus sphaericus, Bos_lon – Bosmina longirostris, Cyc_vic – Cyclops vicinus, Dap_cuc – Daphnia cucullata, Euc_ser – Eucyclops serrulatus, Aca_tra – Acanthocyclops trajani, Eud_gra – Eudiaptomus gracilis, Mac_alb – Macrocyclops albidus, Ple_adu – Pleuroxus aduncus, Sim_vet – Simocephalus vetulus, Mac_lat – Macrothrix laticornis, Euc_spe – Eucyclops speratus, The_oit – Thermocyclops oithonoides, Nit_hib – Nitocra hibernica, Alo_rec – Alona rectangula, Sca_muc – Scaphole-

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 1 in Invasive Mollusc, Crustacean, Fish And Reptile Species Along The Hungarian Stretch Of The River Danube And Some Connected Waters

Fig. 1. Increasing number of invasive species in the Hungarian Danube stretch according to the studied taxonomical groups

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 2 in Allozyme-Based Genetic Variability Of The Daphnia Atkinsoni-Bolivari Species Complex (Cladocera: Daphniidae) In The Hungarian Great Plain

Fig. 2. UPGMAclusteringofNei'soriginalgeneticdistancesbetweenpopulationsof Daphniaatkinsoni and D. bolivari. Themorphological D. bolivari populationsaremarkedwith

opencc-by-4.0Dec 2013View details →
zenodo40/100

Fig. 5 in Microcrustacean (Cladocera, Copepoda) Communities In Artificial Lakes In The Region Of The North Hungarian Mountains, With Special Reference To The Adventive Species

Fig. 5. The relative frequencies of Eurytemora velox (white), Eudiaptomus gracilis (black) and all other microcrustacean species (grey) in those fish ponds where the invasive E. velox was present

opencc-by-4.0Dec 2012View details →
zenodo40/100

Infographic of the corpus of Hungarian charms drawn in Photoshop

<p>Infographic of the corpus of Hungarian charms drawn in Photoshop</p> <p>More about the database: https://raolvasasok.boszorkanykorok.hu/</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

Figs 1–10 in Identification Of Hungarian Mustelidae And Other Small Carnivores Using Guard Hair Analysis

Figs 1–10. Photographs of small carnivores guard hairs: 1 = pectinate pattern of cuticula (Mustela eversmanni); 2 = diamond petal pattern of cuticula (Lutra lutra); 3 = mosaic pattern of cuticula (Mustela erminea); 4 = regular, close wave pattern of cuticula (Lutra lutra); 5 = unicellular ladder pattern of medulla (Mustela erminea); 6 = scalloped margin of medulla (Mustela erminea); 7 = cloisonné pattern of medulla (Martes foina); 8 = fragmented medulla (Mustela erminea); 9 = cloisonné-like medulla with straight medullar margin and large, oval cells (Vulpes vulpes); 10 =

opencc-by-4.0Jan 2003View details →
zenodo40/100

Figs 54–57 in Millipedes (Diplopoda) From Korea, The Russian Far East, And China In The Collection Of The Hungarian Natural History Museum

Figs 54–57. Koreadesmus proprius gen. sp. n.: 54–57 = gonopod, mesal, frontal,lateral and caudal view, r – postfemoral process, d – postfemoral tooth, t – flattened outgrowth of postfemorite, lo –

opencc-by-4.0Nov 2003View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record