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opencc-by-4.0Aug 2015View details →

FIGURE 2. 1 in Talpa fossilis or Talpa europaea? Using geometric morphometrics and allometric trajectories of humeral moles remains from Hungary to answer a taxonomic debate

FIGURE 2. 1, Landmarks (large grey circles) and semilandmarks (small white circles) digitized on the humerus in caudal norm: 1) lateral end of greater tuberosity; 2) articular facet for clavicula; 3) proximal edge of the articular facet for clavicula; 4) bicipital notch; 5) proximal end of lesser tuberosity; 6) medial edge of the minor tuberosity; 7) lateral edge of the lesser tuberosity; 8) bicipital ridge; 9) middle point of the bicipital tunnel; 10) lateral end of the scalopine ridge; 11) proximal end of the teres tubercle; 12-14) surface of the teres tubercle; 15) distal end of the teres tubercle; 16-18) minor sulcus; 19) posterior margin of the lateral epicondyle; 21-22) lateral epicondyle; 22-24) trochlear area; 25-27) medial epicondyle; 28) posterior margin of the medial epicondyle; 29-32) greater sulcus; 33-36) humeral head. Scalebar equals 1 mm. 2, Insertion areas of the main muscles involved in the digging movement. 1. Pectoral ridge where muscle Pectoralis pars sternalis inserts. 2. Teres tubercle where muscles Teres major and Latissimus dorsi inserts.

opencc-by-4.0Mar 2017View details →

FIGURE 5 in A remarkably well-preserved terrestrial isopod (Peracarida: Isopoda: Armadillidiidae) from the upper Oligocene of Hungary, with remarks on the oniscidean taphonomy

FIGURE 5. Fossil oniscidean isopods preserved in natural posture. 1. Armadillidium sp., upper Oligocene of Hungary (MM 2015.513.1). 2-4. Eubelum rusingaense Morris, 1979, lower Miocene of Kenya, deposited in the collections of the Natural History Museum, London. 2. BMNH In. 61035. 3. BMNH In. 61036. 4. BMNH In. 61037 (fully enrolled specimen).

opencc-by-4.0Mar 2017View details →

FIGURE 3 in A remarkably well-preserved terrestrial isopod (Peracarida: Isopoda: Armadillidiidae) from the upper Oligocene of Hungary, with remarks on the oniscidean taphonomy

FIGURE 3. Armadillidium sp. from the upper Oligocene of Eger, Hungary (MM 2015.513.1). 1. Lateral (right) view. 2. Dorsal view. 3. Lateral (left) view. 4. Anterior view; note the missing cephalon. 5. Postero-dorsal view. 6. Posterior view. Roman numerals indicate pereonites; Arabic numerals refer to pleonites.

opencc-by-4.0Mar 2017View details →

FIGURE 4 in A remarkably well-preserved terrestrial isopod (Peracarida: Isopoda: Armadillidiidae) from the upper Oligocene of Hungary, with remarks on the oniscidean taphonomy

FIGURE 4. Armadillidium sp. from the upper Oligocene of Eger, Hungary (MM 2015.513.1), interpretative line drawings. 1. Posterior view. 2. Lateral (right) view. 3. Anterior view. Roman numerals indicate pereonites; Arabic numerals refer to pleonites.

opencc-by-4.0Aug 2024View details →

Soil biota (earthworm, nematode and soil surface fauna) data of organic, permaculture and conventional horticultural farms of Central Hungary

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.

opencc-by-4.0Aug 2024View details →

Predation activity data in organic, permaculture and conventional horticultural farms of Central Hungary

Fig. 5 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary

Fig. 5. Azhdarchidae indet. cervical vertebrae, Iharkút, Bakony Mts., Hungary, Csehbánya Formation, Santonian (Upper Cretaceous). A. MTM Gyn/450 in dorsal (A1, A2), ventral (A3, A4), lateral (A5, A6), and posterior (A7, A8) views. B. MTM Gyn/451 in dorsal (B1, B2) and anterior (B3, B4) views.

Fig. 4 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary

Fig. 4. Azhdarchidae indet. cervical vertebrae, Iharkút, Bakony Mts., Hungary, Csehbánya Formation, Santonian (Upper Cretaceous). A. MTM Gyn/448 in anterior (A1, A2), dorsal (A3, A4), ventral (A5, A6), and lateral (A7, A8) views. B. MTM Gyn/449 in dorsal (B1, B2) and ventral (B3, B4) views.

Fig. 6 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary

Fig. 6. Azhdarchide indet. wing bones, Iharkút, Bakony Mts., Hungary, Csehbánya Formation, Santonian (Upper Cretaceous). A. MTM Gyn/452 proximal end of a right radius in?anterior (A1, A2) view. B. MTM Gyn/452 distal end of a right radius in posterior (B1, B2), anterior (B3, B4), and distal (B5, B6) views. C. MTM Gyn/453 second? phalanx? of the wing finger in ventral (C1, C2) and proximal (C3, C4) views. D. MTM V.2002.04 proximal half of a first phalanx of the wing finger in?dorsal view.

Fig. 3 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary

Fig. 3. Bakonydraco galaczi gen. et sp. nov. MTM Gyn/4, Iharkút, Bakony Mts., Hungary, Csehbánya Formation, Santonian (Upper Cretaceous). Detail of the internal structure of the anterior beak of the lower jaw, photograph (A) and explanatory drawing (B).

Fig. 2 in First evidence of azhdarchid pterosaurs from the Late Cretaceous of Hungary

Fig. 2. Bakonydraco galaczi gen. et sp. nov. MTM Gyn/3, Iharkút, Bakony Mts., Hungary, Csehbánya Formation, Santonian (Upper Cretaceous). Mandible in dorsal (A, B), ventral (C, D), and lateral (E, F) views.

opencc-by-4.0Sep 2024View details →

Extended 1.0 Dataset of "Concentration and Geospatial Modelling of Health Development Offices' Accessibility for the Total and Elderly Populations in Hungary"

Introduction We are enclosing the database used in our research titled "Concentration and Geospatial Modelling of Health Development Offices' Accessibility for the Total and Elderly Populations in Hungary", along with our statistical calculations. For the sake of reproducibility, further information can be found in the file Short_Description_of_Data_Analysis.pdf and Statistical_formulas.pdf  The sharing of data is part of our aim to strengthen the base of our scientific research. As of March 7, 2024, the detailed submission and analysis of our research findings to a scientific journal has not yet been completed. The dataset was expanded on 23rd September 2024 to include SPSS statistical analysis data, a heatmap, and buffer zone analysis around the Health Development Offices (HDOs) created in QGIS software. Short Description of Data Analysis and Attached Files (datasets): Our research utilised data from 2022, serving as the basis for statistical standardisation. The 2022 Hungarian census provided an objective basis for our analysis, with age group data available at the county level from the Hungarian Central Statistical Office (KSH) website. The 2022 demographic data provided an accurate picture compared to the data available from the 2023 microcensus. The used calculation is based on our standardisation of the 2022 data. For xlsx files, we used MS Excel 2019 (version: 1808, build: 10406.20006) with the SOLVER add-in. Hungarian Central Statistical Office served as the data source for population by age group, county, and regions: <a href="https://www.ksh.hu/stadat_files/nep/hu/nep0035.html">https://www.ksh.hu/stadat_files/nep/hu/nep0035.html</a>, (accessed 04 Jan. 2024.) with data recorded in MS Excel in the Data_of_demography.xlsx file. In 2022, 108 Health Development Offices (HDOs) were operational, and it's noteworthy that no developments have occurred in this area since 2022. The availability of these offices and the demographic data from the Central Statistical Office in Hungary are considered public interest data, freely usable for research purposes without requiring permission. The contact details for the Health Development Offices were sourced from the following page (Hungarian National Population Centre (NNK)): <a href="https://www.nnk.gov.hu/index.php/efi">https://www.nnk.gov.hu/index.php/efi</a> (n=107). The Semmelweis University Health Development Centre was not listed by NNK, hence it was separately recorded as the 108th HDO. More information about the office can be found here: <a href="https://semmelweis.hu/egeszsegfejlesztes/en/">https://semmelweis.hu/egeszsegfejlesztes/en/</a> (n=1). (accessed 05 Dec. 2023.) Geocoordinates were determined using Google Maps (N=108): <a href="https://www.google.com/maps">https://www.google.com/maps</a>. (accessed 02 Jan. 2024.) Recording of geocoordinates (latitude and longitude according to WGS 84 standard), address data (postal code, town name, street, and house number), and the name of each HDO was carried out in the: Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file. The foundational software for geospatial modelling and display (QGIS 3.34), an open-source software, can be downloaded from: <a href="https://qgis.org/en/site/forusers/download.html">https://qgis.org/en/site/forusers/download.html</a>. (accessed 04 Jan. 2024.) The HDOs_GeoCoordinates.gpkg QGIS project file contains Hungary's administrative map and the recorded addresses of the HDOs from the Geo_coordinates_and_names_of_Hungarian_Health_Development_Offices.csv file, imported via .csv file. The OpenStreetMap tileset is directly accessible from <a href="http://www.openstreetmap.org">www.openstreetmap.org</a> in QGIS. (accessed 04 Jan. 2024.) The Hungarian county administrative boundaries were downloaded from the following website: <a href="https://data2.openstreetmap.hu/hatarok/index.php?admin=6" target="_new">https://data2.openstreetmap.hu/hatarok/index.php?admin=6</a> (accessed 04 Jan. 2024.) HDO_Buffers.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding buffer zones with a radius of 7.5 km. Heatmap.gpkg is a QGIS project file that includes the administrative map of Hungary, the county boundaries, as well as the HDO offices and their corresponding heatmap (Kernel Density Estimation). A brief description of the statistical formulas applied is included in the Statistical_formulas.pdf. Recording of our base data for statistical concentration and diversification measurement was done using MS Excel 2019 (version: 1808, build: 10406.20006) in .xlsx format. <ul> <li>Aggregated number of HDOs by county: Number_of_HDOs.xlsx</li> <li>Standardised data (Number of HDOs per 100,000 residents): Standardized_data.xlsx</li> <li>Calculation of the Lorenz curve: Lorenz_curve.xlsx</li> <li>Calculation of the Gini index: Gini_Index.xlsx</li> <li>Calculation of the LQ index: LQ_Index.xlsx</li> <li>Calculation of the Herfindahl-Hirschman Index: Herfindahl_Hirschman_Index.xlsx</li> <li>Calculation of the Entropy index: Entropy_Index.xlsx</li> <li>Regression and correlation analysis calculation: Regression_correlation.xlsx</li> </ul> Using the SPSS 29.0.1.0 program, we performed the following statistical calculations with the databases Data_HDOs_population_without_outliers.sav and Data_HDOs_population.sav: <ul> <li>Regression curve estimation with elderly population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_elderly_without_outlier.spv</li> <li>Pearson correlation table between the total population, elderly population, and number of HDOs per county, excluding outlier values such as Budapest and Pest County: Pearson_Correlation_populations_HDOs_number_without_outliers.spv.</li> <li>Dot diagram including total population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_total_population_without_outliers.spv.</li> <li>Dot diagram including elderly (64<) population and number of HDOs per county, excluding outlier values such as Budapest and Pest Counties: Dot_HDO_elderly_population_without_outliers.spv</li> <li>Regression curve estimation with total population and number of HDOs, excluding outlier values (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_without_outlier.spv</li> <li>Dot diagram including elderly (64<) population and number of HDOs per county: Dot_HDO_elderly_population.spv</li> <li>Dot diagram including total population and number of HDOs per county: Dot_HDO_total_population.spv</li> <li>Pearson correlation table between the total population, elderly population, and number of HDOs per county: Pearson_Correlation_populations_HDOs_number.spv</li> <li>Regression curve estimation with total population and number of HDOs, (Types of analyzed equations: Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power, S, Growth, Exponential, Logistic, with summary and ANOVA analysis table): Curve_estimation_total_population.spv</li> </ul> For easier readability, the files have been provided in both SPV and PDF formats. The translation of these supplementary files into English was completed on 23rd Sept. 2024.   If you have any further questions regarding the dataset, please contact the corresponding author: <a target="_new">domjan.peter@phd.semmelweis.hu</a>

FIG. 14 in Recent camel finds from Hungary

FIG. 14. — Siege of Buda in 1541 by Erhardt SchÖn (Published by Stefan Hammer in Nürnberg, 1542) showing loose dromedaries in the frontline on the banks of ÖrdÖg-creek.

FIG. 13 in Recent camel finds from Hungary

FIG. 13. — Cranial aspect of the cervical vertebra with cutmark from Budapest, Pesti Barnabás str. 1. (Site 8, Appendix B; Photo László Daróczi-Szabó). Scale bar, 5 cm.

FIG. 12 in Recent camel finds from Hungary

FIG. 12. — Buccal aspect of the right mandible from Buda- pest, Pesti Barnabás str. 1. (Site 8, Appendix B; Photo László Daróczi-Szabó). Scale bar, 5 cm.

FIG. 11 in Recent camel finds from Hungary

FIG. 11. — Modifications on some bones identified at Budapest, Kacsa str. 15-23 West (Site 7, Appendix B). Top row: cut marks on a thoracic vertebra (left) and rib. Bottom row: gnaw marks on ribs (Photo László Daróczi-Szabó). Scale bar, 5 cm.

FIG. 10 in Recent camel finds from Hungary

FIG. 10. — Cutmarks on the condylus occipitalis of the individual from Budapest, Kacsa str. 15-23 West (Site 7, Appendix B; Photo László Daróczi-Szabó. Scale bar, 5 cm.

FIG. 9 in Recent camel finds from Hungary

FIG. 9. — Scapula, humerus and radiocubitus of the right front limb of the subadult camel found at Budapest, Kacsa str. 15-23 West (Site 7, Appendix B; Photo László Daróczi-Szabó). Scale bar, 5 cm.

FIG. 7 in Recent camel finds from Hungary

FIG. 7. — Medial aspect of a poorly healed rib fracture from Budapest, Lovas str. 41 (Site 6, Appendix B; Photo László Daróczi-Szabó). Scale bar, 5 cm.

FIG. 8 in Recent camel finds from Hungary

FIG. 8. — In situ photograph of the head and neck of the subadult camel recovered at Budapest, Kacsa str. 15-23 West (Site 7, Ap- pendix B; Photo Katalin Éder)