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FIGURE 3. Phasmarhabditis bonaquaense n in Phasmarhabditis bonaquaense n. sp. (Nematoda: Rhabditidae), a new slug-parasitic nematode from the Czech Republic
FIGURE 3. Phasmarhabditis bonaquaense n. sp. light microscopy: Males A – B. A: male, tail region, lateral view; B: male, tail region, ventral view. Dauer juveniles C – D. C: DJs, tail region; D: DJs, head region.
FIGURE 2. Phasmarhabditis bonaquaense n in Phasmarhabditis bonaquaense n. sp. (Nematoda: Rhabditidae), a new slug-parasitic nematode from the Czech Republic
FIGURE 2. Phasmarhabditis bonaquaense n. sp. light microscopy: Females A – D. A: female, tail region, ventral view; B: female, tail region, lateral view; C: female, mid-body region with vulva; D: females, head region.
FIGURE 4. Phasmarhabditis bonaquaense n in Phasmarhabditis bonaquaense n. sp. (Nematoda: Rhabditidae), a new slug-parasitic nematode from the Czech Republic
FIGURE 4. Phasmarhabditis bonaquaense n. sp. scanning electron microscopy: Dauer juveniles A – B. A: DJs, head region with aphid (a) and lateral fields; B: DJs, tail region with anus, phasmid (p) and lateral fields. Females C – E. C: female, head region with labial papillae (lp), cephalic papillae (cp), small papilla-like protrusion (p) and amphid (a); D: female, tail region with phasmids (p), tail terminus broken; E: female, lateral fields. Males F. F: male, tail region with bursa and single papilla (s).
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Czech Republic
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in the ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – Czech Agriculture and Food Inspection Authority, National Institute of Public Health</p> <p>OCC-CHEMMON2021 – Czech Agriculture and Food Inspection Authority, National Institute of Public Health</p> <p>OCC-CHEMMON2022 – Czech Agriculture and Food Inspection Authority, National Institute of Public Health</p> <p>OCC-CHEMMON2023 – Czech Agriculture and Food Inspection Authority, National Institute of Public Health</p> <p>OCC-CHEMMON2024 – Czech Agriculture and Food Inspection Authority, National Institute of Public Health</p>
Czech Republic 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 “maximum residue levels” or briefly “MRLs”, 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 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> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2022 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2021 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2020 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2019 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2018 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2017 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food</p> <p>MOPER_2016 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p>MOPER_2015 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p>MOPER_2014 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p>MOPER_2013 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p>MOPER_2012 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p>MOPER_2011 - Czech Agriculture and Food Inspection Authority, State Veterinary Administration</p> <p> </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>
Text-fig. 1. Situation of Early Miocene plant localities. a: Central Europe with Brno area and other fossil sites mentioned in text (1 – Znojmo and Přímětice, 2 – Oberdorf, 3 – Modrý Kameň Basin, 4 – Lipovany, 5 – Ipolytarnóc; CZ – the Czech Republic, PL – Poland, SK – Slovakia, H – Hungary, A – Austria, D – Germany). b: Brno area with Líšeň municipal district indicated. c: Líšeň municipal district with fossil sites indicated by asterisk. in A New Early Miocene (Ottnangian) Flora Of The "Rzehakia Beds" From Brno-Líšeň
Text-fig. 1. Situation of Early Miocene plant localities. a: Central Europe with Brno area and other fossil sites mentioned in text (1 – Znojmo and Přímětice, 2 – Oberdorf, 3 – Modrý Kameň Basin, 4 – Lipovany, 5 – Ipolytarnóc; CZ – the Czech Republic, PL – Poland, SK – Slovakia, H – Hungary, A – Austria, D – Germany). b: Brno area with Líšeň municipal district indicated. c: Líšeň municipal district with fossil sites indicated by asterisk.
Online trust in Information Society. Four representative database and questionnaire (Hungary, Romania, Poland, Czech Republic
<p>This data collection was conducted by the Institute of the Information Society of the University of Public Service - Ludovika, and covered four Central European countries: the Czech Republic, Hungary, Poland, and Romania, with the aim of examining 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, categorized by age, gender, education, type of settlement and region.</p> <p><br>The data set contains:</p> <ul> <li>Questionnaires in the original languages (Hungarian, Czech, Romanian and Polish), and all questionnaires in English language, too.</li> <li>The four databases with variables in English</li> <li>Merged database of four databases</li> <li>Code table about variables </li> </ul>
Vulnerability tools - Sumava - Cesky Les (Czech Republic)
<p><span>The MOVING project has developed accessible <strong>tools </strong>designed to assess susceptibility and vulnerability within the region, ready to be used by both experts and the general audience. This document synthesises crucial information for the Sumava - Cesky Les Region, particularly focusing on the Participatory Vulnerability Matrix and the Spatial Vulnerability Map. Furthermore, it includes <strong>supplementary maps and figures </strong>detailing various aspects such as the delineation of Reference Landscape, distribution of land systems, areas affected by wildfires, susceptibility to floods across different return periods, severity of forest disturbances, rainfall erosivity, and more.</span></p>
Common bunt in wheat: Results of the ECOBREED field trials, Austria and Czech Republic, 2021-2022
<p>Supplementary material to Lunzer et al. (2023) Front Plant Sci 14: 1264458 [https://doi.org/10.3389/fpls.2023.1264458]:</p> <ul> <li>Scheme for the marker-assisted selection for common bunt QTL</li> <li>Raw data of field and lab evaluations - Austria & Czech Republic 2021</li> <li>Raw data of field and lab evaluaitons - Austria & Czech Republic 2022</li> </ul> <p>Raw data files include the data on several spreadsheet sheets. Each file includes metadata and used abbreviations in the first two sheets.</p>
РИС. 1. Раковины ювенильных крымских клауЗиллид (A–C). A. Mentissa gracilicosta, г. КоШка, СимеиЗ, coll. В. Н. Попов, det. С. В. Леонов. B. Mentissa canalifera, окрестности с. Краснолесье, 23.08.2002, сoll.&det. С. В. Леонов. C. Cochlodina laminata, Артек «Дубрава», 27.05.1999, coll.?, det. С.В. Леонов. Раковины половоЗрелых Balea perversa (D–G). D. Между Виклебю и Ресмо, остров Эланд, ШвециЯ, 07.1958 (фото F. Welter-Shultes). Е. Девичий Замок, Палава, ЮжнаЯ МоравиЯ, ЧехиЯ, 26.09.1998 (фото M. Horsák). F. РаЗвалины Замка РейнграфенШтайн блиЗ Бад-Мюнстер-ам-Штайн, Рейнланд-Пфальц, ГерманиЯ (фото А. В. Сысоев). G. Яйла Южной Демерджи, АлуШта, Республика Крым, РоссиЯ, 14.11.2002, сoll. Н. М. Ковблюк, det. С. В. Леонов. Все иЗображениЯ в одном масШтабе. FIG. 1. Shells of juvenile Crimean clausillids (A–C). A. Mentissa gracilicosta, Koshka mountain, Simeiz, coll. V. N. Popov, det. S. V. Leonov. B. Mentissa canalifera, near Krasnolesye village, 23.08.2002, coll.&det. S. V. Leonov. C. Cochlodina laminata, Artek "Dubrava", 27.05.1999, coll.?, det. S.V. Leonov. Adult Balea perversa shells (D–G). D. Sweden, Öland, between Vickleby and Resmo, 07.1958 (photo F. Welter-Shultes). E. Dívčí hrad, South Moravia, Czech Republic, 26.09.1998 (photo by M. Horsák). F. Ruins of the Rheingrafenstein Castle near Bad Munster am Stein, Rheineland-Pfalz, Germany (photo by A.V. Sysoev). G. Yayla Yuzhnaya Demerdzhi, Alushta, Republic of Crimea, Russia, 14.11.2002, coll. N. M. Kovblyuk, det. S. V. Leonov. All images are at the same scale. in О достоверности находок Balea perversa (Gastropoda: Pulmonata: Clausiliidae) в Крыму
РИС. 1. Раковины ювенильных крымских клауЗиллид (A–C). A. Mentissa gracilicosta, г. КоШка, СимеиЗ, coll. В. Н. Попов, det. С. В. Леонов. B. Mentissa canalifera, окрестности с. Краснолесье, 23.08.2002, сoll.&det. С. В. Леонов. C. Cochlodina laminata, Артек «Дубрава», 27.05.1999, coll.?, det. С.В. Леонов. Раковины половоЗрелых Balea perversa (D–G). D. Между Виклебю и Ресмо, остров Эланд, ШвециЯ, 07.1958 (фото F. Welter-Shultes). Е. Девичий Замок, Палава, ЮжнаЯ МоравиЯ, ЧехиЯ, 26.09.1998 (фото M. Horsák). F. РаЗвалины Замка РейнграфенШтайн блиЗ Бад-Мюнстер-ам-Штайн, Рейнланд-Пфальц, ГерманиЯ (фото А. В. Сысоев). G. Яйла Южной Демерджи, АлуШта, Республика Крым, РоссиЯ, 14.11.2002, сoll. Н. М. Ковблюк, det. С. В. Леонов. Все иЗображениЯ в одном масШтабе. FIG. 1. Shells of juvenile Crimean clausillids (A–C). A. Mentissa gracilicosta, Koshka mountain, Simeiz, coll. V. N. Popov, det. S. V. Leonov. B. Mentissa canalifera, near Krasnolesye village, 23.08.2002, coll.&det. S. V. Leonov. C. Cochlodina laminata, Artek "Dubrava", 27.05.1999, coll.?, det. S.V. Leonov. Adult Balea perversa shells (D–G). D. Sweden, Öland, between Vickleby and Resmo, 07.1958 (photo F. Welter-Shultes). E. Dívčí hrad, South Moravia, Czech Republic, 26.09.1998 (photo by M. Horsák). F. Ruins of the Rheingrafenstein Castle near Bad Munster am Stein, Rheineland-Pfalz, Germany (photo by A.V. Sysoev). G. Yayla Yuzhnaya Demerdzhi, Alushta, Republic of Crimea, Russia, 14.11.2002, coll. N. M. Kovblyuk, det. S. V. Leonov. All images are at the same scale.
National Checklists: Czech Republic Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - The Czech Republic
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of The Czech Republic. The presence of unauthorised substances, residues of veterinary medicinal products in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey, and from 2023 also samples from casings, insects and reptiles.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – State Veterinary Administration - Ministry of Agriculture</p> <p>VMPR_2022 – State Veterinary Administration - Ministry of Agriculture; National Institute of Public Health in Prague, Center for Health, Nutrition and Food</p> <p>VMPR_2021 – State Veterinary Administration - Ministry of Agriculture; National Institute of Public Health in Prague, Center for Health, Nutrition and Food</p> <p>VMPR_2020 – State Veterinary Administration - Ministry of Agriculture; National Institute of Public Health in Prague, Center for Health, Nutrition and Food</p> <p>VMPR_2019 – State Veterinary Administration - Ministry of Agriculture; National Institute of Public Health in Prague, Center for Health, Nutrition and Food</p> <p>VMPR_2018 – State Veterinary Administration - Ministry of Agriculture; National Institute of Public Health in Prague, Center for Health, Nutrition and Food</p> <p>VMPR_2017 – State Veterinary Administration - Ministry of Agriculture</p>
FIG. 2 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 2. — Carapace remains of Ptychogaster (Ptychogaster) sp. from Mokrá-Quarry localities: A-D, Pal. 1300 (nuchal and peripherals 1-3); A, B, dorsal; C, D, visceral; E-L, Pal. 1301 (nuchal); E, F, dorsal; G, H, visceral; I, J, left lateral; K, L, anterior; M, N, Pal. 1302 (neural 4); M, dorsal; N, visceral; O-Q, Pal. 1303 (neural 5); O-P, dorsal; Q, visceral; R, S, Pal. 1304 (neural 7); R, dorsal; S, visceral. T, U, Pal. 1305 (suprapygals 1-2); T, dorsal; U, visceral; V, W, Pal. 1307 (costal 1); V, dor-
FIG. 4 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 4. — Shell and postcranial remains of Testudinidae indet. from MWQ4/2018: A-D, Pal. 1363 (shell fragment); A, B, dorsal; C, D, visceral; E-H, Pal. 1364 (scapula); E, lateral; F, medial; G, anterior; H, dorsal; I-M, Pal. 1365 (fibula); I, dorsal; J, ventral; K, posterior; L, anterior; M, lateral views. Dotted lines indicate plate sutures and oblique lines denote missing plate portions. Abbreviations: fi, fibula; sc, scapula; sf, shell fragment. Scale bars: 1 cm.
FIG. 6 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 6. — Plastral remains of Testudo (Testudo) cf.kalksburgensis: A-D', from Mokrá-Quarry localities;A-F, Pal.1351A (left epiplastron);A, C, visceral;B, D, ventral;E, F, left lateral; G-I, Pal. 1354 (entoplatron); G, visceral; H, I, ventral; J-L, Pal. 1353 (entoplatron); J, visceral; K, L, ventral; M, N, Pal. 1352 (entoplatron); M, visceral; N, ventral; O-R, Pal. 1351B (hyoplastron);O, P, visceral;Q, R, ventral;S-V, Pal. 1355 (hyoplastron);S, T, visceral;U, V, ventral;W-Z, Pal.1356 (hypoplastron);W, X, visceral;Y, Z, ven- tral;A'-D', Pal. 1360 (xiphiplastron); A', B', visceral; C', D', ventral; E'-H', Pal. 1361 (xiphiplastron);E', F', visceral;G', H', ventral views; I', reconstruction of plastron. Thick lines correspond to scute sulci, dotted lines denote plate sutures, and oblique lines indicate missing plate portions. Abbreviations: Ab, abdominal; An, anal; ent, ento- plastron; epi, epiplastron; hyo, hyoplastron; hyp, hypoplastron; Fe, femoral; Gu, gular; Hu, humeral; Pe, pectoral; xi, xiphiplastron. Scale bars: A-H', 1 cm; I', 2.5 cm.
FIG. 1 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 1. — Approximate geographical position of Mokrá-Quarry (A). Schematic geological map of the Czech Republic (B). Position of the five Mokrá-Quarry localities that have yielded fossil turtle remains (B, C).
FIG. 3 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 3. — Plastral remains of Ptychogaster (Ptychogaster) sp. from Mokrá-Quarry localities: A-F, Pal. 1315 (hypoplastron); A, B, visceral; C, D, ventral; E, F, left lateral; G-L, Pal. 1316 (hypoplastron); G, H, visceral; I, J, ventral; K, L, right lateral; M-R, Pal. 1317 (hypoplastron); M, N, visceral; O, P, ventral; Q, R, right lateral; S-V, Pal. 1318 (xiphiplastron); S, T, visceral; U, V, ventral views; W, reconstruction of plastron. Thick lines indicate to scute sulci, dotted lines denote plate sutures, dashed lines denote completely ligamentous kinesis (between hypoplastra and peripherals and the hinge between hyoplastron and hypoplastron), and oblique lines indicate missing plate portions. Abbreviations: Ab, abdominal; An, anal; ent, entoplastron; epi, epiplastron; hyo, hyoplastron; hyp, hypoplastron; Fe, femoral; Gu, gular; Hu, humeral; Pe, pectoral; xi, xiphiplastron. Scale bars: 1 cm.
nal; E', F', internal, G'-J', Pal. 1341 (peripheral 8); G', H', external; I', J', internal; K'-N', Pal. 1343 (peripheral 9); K', L', external; M', N', internal; O'-R', Pal. 1345 (peripheral 10); O', P', external; Q', R', internal; S'-V', Pal. 1348 (peripheral 11); S', T', external; U', V', internal views; W', reconstruction of carapace Thick lines correspond to scute sulci, dotted lines denote plate sutures, and oblique lines indicate missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Spr, supracaudal; Ve, vertebral. Scale bars: A-V', 1 cm; W', 2.5 cm. in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
nal; E', F', internal, G'-J', Pal. 1341 (peripheral 8); G', H', external; I', J', internal; K'-N', Pal. 1343 (peripheral 9); K', L', external; M', N', internal; O'-R', Pal. 1345 (peripheral 10); O', P', external; Q', R', internal; S'-V', Pal. 1348 (peripheral 11); S', T', external; U', V', internal views; W', reconstruction of carapace Thick lines correspond to scute sulci, dotted lines denote plate sutures, and oblique lines indicate missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Spr, supracaudal; Ve, vertebral. Scale bars: A-V', 1 cm; W', 2.5 cm.
FIG. 5 in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
FIG. 5. — Carapace remains of Testudo (Testudo) cf. kalksburgensis from Mokrá-Quarry localities: A-D, Pal. 1320 (nuchal); A, B, dorsal; C, D, visceral; E, Pal. 1322 (neural 4) in dorsal; F, Pal. 1323 (neural 6) in dorsal; G, Pal. 1350 (neural 7) in dorsal; H-J, Pal. 1325 (pygal); H, external; I, J, internal; K, L, Pal. 1326 (costal 1) in dorsal; M, N, Pal. 1329 (costal 2) in dorsal; O, P, Pal. 1330 (costal 3) in dorsal; Q, R, Pal. 1331 (costal 6) in dorsal; S-V, Pal. 1333 (peripheral 1); S, T, external; U, V, internal; W-Z, Pal. 1334 (peripheral 2); W, X, external; Y, Z, internal; A', B', Pal. 1338 (peripheral 5) in external; C'-F', Pal. 1340 (peripheral 7); C', D', exter-
sal; W, visceral; X-Z, Pal. 1308 (costal 5); X, Y, dorsal; Z, visceral; A'-C', Pal. 1309 (costal 6); A', B', dorsal; C', visceral; D'-F', Pal. 1310 (costal 8); D', E', dorsal; F', visceral; G'-J', Pal. 1312 (peripheral 1); G', H', dorsal; I', J', visceral; K'-N', Pal. 1313 (peripheral 7); K', L', dorsal; M', N', visceral; O'-R', Pal. 1314 (peripheral 8); O', P', dorsal; Q', R', visceral views; S', reconstruction of carapace. Thick lines indicate to scute sulci, dotted lines sutures and oblique lines denote missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Ve, vertebral. Scale bars: 1 cm. in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic
sal; W, visceral; X-Z, Pal. 1308 (costal 5); X, Y, dorsal; Z, visceral; A'-C', Pal. 1309 (costal 6); A', B', dorsal; C', visceral; D'-F', Pal. 1310 (costal 8); D', E', dorsal; F', visceral; G'-J', Pal. 1312 (peripheral 1); G', H', dorsal; I', J', visceral; K'-N', Pal. 1313 (peripheral 7); K', L', dorsal; M', N', visceral; O'-R', Pal. 1314 (peripheral 8); O', P', dorsal; Q', R', visceral views; S', reconstruction of carapace. Thick lines indicate to scute sulci, dotted lines sutures and oblique lines denote missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Ve, vertebral. Scale bars: 1 cm.
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.