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5,547 results for “Turkey”
Data for: Segmentation and Holocene Behavior of the Middle Strand of the North Anatolian Fault (NW Turkey)
<p>This dataset is associated to the article "Segmentation and Holocene Behavior of the Middle Strand of the North Anatolian Fault (NW Turkey)" published in Tectonics (<a href="https://doi.org/10.1029/2021TC006870">https://doi.org/10.1029/2021TC006870</a>).</p> <p>It includes the following:</p> <ul> <li>A description file, including a list of data files, and a description of how the marker quality score was determined in this study ("Supporting Information.docx")</li> <li>A table summarizing the historical earthquakes in the region of interest ("TableS1.xlsx")</li> <li>A table summarizing the paleoseismic investigations in the region of interest ("TableS2.xlsx")</li> <li>The full horizontal offset retrodeformations ("offsets_X.tif")</li> <li>A table of the offset values measured along the MNAF (TableS3.xlsx")</li> <li>The georeferenced fault map ("MNAF_2021.gml" and "MNAF_2021.xsd")</li> <li>A figure showing examples of vertical slip markers along the MNAF south of Iznik Lake ("FigS1.tif")</li> <li>A figure showing field examples of Late Quaternary faulting along the MNAF ("FigS2.png")</li> <li>A figure showing the results of the automatic fault discretization procedure ("FigS3.png")</li> </ul>
The Semantic Turkey metadata registry ontology
<p>An application profile of DCAT combining it with other metadata vocabularies (e.g. VoID, DCTERMS, LIME) to meet requirements elicited in various use cases of the Semantic Web platform Semantic Turkey</p>
EMOFORTE- Ideological Map of Emotions in Turkey
<p>EMOFORTE Project Deliverable: An ideological map of emotions with a comparative-synchronic approach to the discourses of Turkish political parties on Foreign Policy at the nexus of national identity and Europe as its significant Other. </p> <p> </p> <p>This diagram has been prepared as a part of EMOFORTE Project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.896311</p>
Organisation for Economic Co-operation and Development (OECD) data for Antalya (Turkey), Antwerp (Belgium), Cork (Ireland), Thessaloniki (Greece) (source: OECD)
<p>The data have been collected via the official OECD Application Programming Interface (API)<strong> </strong>and<strong> </strong>includes the following indicators:</p> <ul> <li>EmpPlaRes - Employment at place of residence</li> <li>LfPartRa - Labour Force and Participation rate</li> <li>UnemReg - Unemployment in regions </li> <li>RegGdpTL2 - Regional Gross Domestic Product (Large regions TL2)</li> <li>GDPLT3 - Gross Domestic Product (Small regions TL3)</li> <li>RegEmIndu - Regional Employment by industry (ISIC rev 4)</li> <li>RegGVAWorker - Regional GVA per worker</li> <li>RegIncPC - Regional income per capita</li> </ul> <p>Source: https://data.oecd.org/api/</p>
Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Turkey
<p>This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.</p> <p><strong>Reporting authorities contributing to each data collection</strong>:</p> <ul> <li>TSE_2023_TR - General Directorate of Food and Control)</li> <li>TSE_2022_TR - General Directorate of Food and Control)</li> <li>TSE_2021_TR - General Directorate of Food and Control)</li> </ul>
Potential and realized distribution at 30m for Turkey oak (Quercus cerris) in Europe for 2000 - 2020
<p>Probability and uncertainty maps showing the potential and realized distribution for the Turkey oak (<em>Quercus cerris, L.</em>) for Europe from the dataset prepared by <a href="http://doi.org/10.5281/zenodo.5818021">Bonannella et al. (2022)</a> and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:</p> <ul> <li>2000 - 2002,</li> <li>2002 - 2006,</li> <li>2006 - 2010,</li> <li>2010 - 2014,</li> <li>2014 - 2018,</li> <li>2018 - 2020.</li> </ul> <p>Files are named according to the following naming convention, e.g:</p> <ul> <li>veg_quercus.cerris_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3</li> </ul> <p>with the following fields:</p> <ul> <li>theme: e.g. <strong>veg</strong>,</li> <li>species code: e.g. <strong>quercus.cerris</strong>,</li> <li>species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation),</li> <li>species estimation method: e.g. <strong>eml</strong>,</li> <li>species estimation type: e.g. <strong>md</strong> ( = model deviation),</li> <li>resolution in meters e.g. <strong>30m</strong>,</li> <li>reference depths (vertical dimension): e.g. <strong>0..0cm</strong>,</li> <li>reference period begin end: e.g. <strong>2000..2002</strong>,</li> <li>reference area: e.g. <strong>eumap</strong>,</li> <li>coordinate system: e.g. <strong>epsg3035</strong>,</li> <li>data set version: e.g. <strong>v0.3</strong>.</li> </ul> <p>For each species is then easy to identify probability and uncertainty distribution maps:</p> <ul> <li>veg_quercus.cerris_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution</li> <li>veg_quercus.cerris_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution</li> <li>veg_quercus.cerris_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution</li> <li>veg_quercus.cerris_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution</li> </ul> <p>Files are provided as <a href="https://gdal.org/drivers/raster/cog.html">Cloud Optimized GeoTIFFs</a> and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format.</p> <p>If you would like to know more about the creation of the maps and the modeling:</p> <ul> <li><strong>watch</strong> the talk at Open Data Science Workshop 2021 (<a href="https://doi.org/10.5446/55256">TIB AV-PORTAL</a>)</li> <li><strong>access </strong>the repository with our R/Python scripts and follow the instructions (<a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/tree/master/veg_mapping">GitLab</a>)</li> <li><strong>access </strong>the repository with the training dataset (<a href="https://doi.org/10.5281/zenodo.5818021">Zenodo</a>)</li> <li><strong>read </strong>the tutorial with executable code on our <a href="https://opengeohub.github.io/spatial-prediction-eml/spatiotemporal-ml.html#spatiotemporal-distribution-of-fagus-sylvatica">GitBook</a></li> </ul> <p> </p> <p>A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on <a href="https://doi.org/10.7717/peerj.13728">PeerJ</a>. To suggest any improvement/fix use <a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues">https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues</a>.</p>
SIGMOID-TR: A Simulated Ground Motion Dataset for Turkey
<p><strong>SIGMOID-TR: A Simulated Ground Motion Dataset for Turkey</strong></p> <p>A simulated ground motion dataset for ten earthquake scenarios in Turkey (seven real, three hypothetical earthquakes).</p> <p>Each scenario consists of 180 combinations for input parameters, and ground motions are simulated at 104 sites for each set of combinations, resulting in 18720 simulated ground motions for each earthquake and 187200 motions in total.</p>
Dataset of FEUTURE Online Paper No. 8 "Understanding the EU-Turkey Sectoral Trade Flows During 1990-2016: a Trade Gravity Approach"
<p>The dataset provides the following variables for 1990-2016 for Austria Belgium, Bulgaria, China, Denmark, France, Germany, Greece, Hungary, Iran, Ireland, Italy, Japan, Netherlands, Poland, Russia, Spain, Sweden, UK, and USA: </p> <p>- Total export and import (in USD and %)</p> <p>- Intermediate goods exports and imports (in USD and %)</p> <p>- Household goods exports and imports (in USD and %)</p> <p>- Capital goods exports and imports (in USD and %)</p> <p>- Mixed-end exports and imports (in USD and %)</p> <p>- Miscellaneous exports and imports (in USD and %)</p> <p> </p>
Dataset of FEUTURE Online Paper No. 9 "The Financial Flows and the Future of EU-Turkey Relations"
<p>The dataset provides the annual GDP (in US Dollar) and the annaul GDP growth (in %) of Turkey between 1960 and 2016.</p>
Methodological Appendix for FEUTURE Online Paper No. 28 "Narratives of a Contested Relationship: Unravelling the Debates in the EU and Turkey"
<p>This is the methodological appendix for the narrative analysis conducted by the researchers from the University of Cologne (UzK) and Middle East Technical University (METU) within the scope of the ongoing research project, which is entitled “The Future of EU-Turkey Relations: Mapping Dynamics and Testing Scenarios” (FEUTURE) and funded by the European Union’s Horizon 2020 Research and Innovation Programme. The appendix is designed to provide comprehensive information on the operationalization of the qualitative research that was carried out for the FEUTURE Online Paper No. 28 “Narratives of a Contested Relationship: Unravelling the Debates in the EU and Turkey” published in February 2019.</p> <p>The following sections present details on the selected actors, data sampling and collection, codebook and variables, and overall time span of the research.</p>
National Checklists 2017: Turkey Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Turkey collected using effechecka and geonames polygons
National Checklists 2019: Turkey Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Turkey collected using effechecka and geonames polygons
Çiçek et al: Freshwater Turkey Fish
Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.<p></p>
Supplementary dataset to publication: "Genomic insight into Campylobacter jejuni isolated from commercial turkey flocks in Germany using whole-genome sequencing analysis"
<p><em>Campylobacter jejuni </em>is a zoonotic bacterium of public health significance. The present investigation was designed to assess the epidemiology and genetic heterogeneity of <em>Campylobacter jejuni</em> recovered from commercial turkey farms in Germany using whole-genome sequencing. The Illumina MiSeq<sup>®</sup> technology was used to sequence 66 <em>Campylobacter jejuni </em>isolates obtained between 2010 and 2011 from commercial meat turkey flocks located in ten German federal states. Phenotypic antimicrobial resistance was determined. Phylogeny, resistome, plasmidome and virulome profiles were analyzed using whole-genome sequencing data. Genetic resistancemarkers were identified with bioinformatics tools (AMRFinder, ResFinder, NCBI and ABRicate) and compared with the phenotypic antimicrobial resistance.</p>
Afterslip distribution related to the Van Earthquake (Turkey) of 23 Oct. 2011
<p>Two distributions of slip (afterslip) related to the Van earthquake</p> <p>- after 4 days</p> <p>- after 17 days</p> <p>as reported in Figure 9 and 10 of the paper</p> <p>Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling</p> <p><em>Elisa Trasatti, Cristiano Tolomei, Giuseppe Pezzo, Simone Atzori and Stefano Salvi</em></p> <p>Rem. Sens. 2016, 8, 532; doi:10.3390/rs8060532</p> <p> </p> <p>Coordinates, depth and slip in meters.</p> <p>The geographical coordinates are projected with UTM zone 38.</p> <p>The depth of the first row of patches is positive due to the elevation of the area.</p>
Figs 10–18 in Three new species and new records of cuckoo bees of the genus Epeolus in Turkey (Hymenoptera: Apidae: Nomadinae)
Figs 10–18. Epeolus warnckei sp. nov. 10 – holotype, ♀, dorsal view; 11 – allotype,, dorsal view. 12–17 – holotype: 12 – head, frontal view; 13 – labrum; 14 – mesopleuron, lateral view; 15 – mesosoma; 16 – terga; 17 – sterna. 18 – allotype, pygidial plate.
FIG. 2. — A in Archaeozoological study of a unique Late Neolithic pit from Tepecik-Çiftlik, central Turkey
FIG. 2. — A, aerial photo of the whole excavation area (excavation archive); B, schematic layout of the settlement during Phase 3.2c (based on Çakan 2013: fig. 92); C, schematic layout of the settlement from different phases (Çakan pers. comm.). The red dot indicates the location of the pit (modifications were made by the author).
FIG. 5 in Archaeozoological study of a unique Late Neolithic pit from Tepecik-Çiftlik, central Turkey
FIG. 5. — The articulated limbs from cattle and sheep in their anatomical positions were clearly noticeable. Bones highlighted with red stripes belong to the almost complete cattle and articulated left front limbs from sheep are visible here as well. Scale bar: 20 cm.
FIG. 7 in Archaeozoological study of a unique Late Neolithic pit from Tepecik-Çiftlik, central Turkey
FIG. 7. — The distribution of the sheep bone assemblage (the empty diagram is produced by C. Y. Gündem & S. Sarı).
FIG. 3 in Archaeozoological study of a unique Late Neolithic pit from Tepecik-Çiftlik, central Turkey
FIG. 3. — Schematic layout of the settlement, from the bottom to the top. A, layer 3.2c; B, layer 3.2b; C, layer 3.2a; red dot, location of the pit. The pit was dug out, filled and closed during the 3.2c layer (based on Çakan 2013: fig. 92-4).
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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
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OpenNeuro
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