1,721,170 research outputs found
Fig. 2 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 2. Schematic overview of the X-Ray generator.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 4, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Fig. 3 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 3. The spectrum generated by an X-ray generator at 100kV with and without filtering. Image generated by the simulation environment https://www.oem-xray-components.siemens.com/x-ray-spectra-simulation.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 5, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Fig. 5 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 5. Schematic overview of the reconstruction procedure. Image by HCMR micro-CT lab.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 7, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Fig. 6. Data processing from a in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 6. Data processing from a stack of 2D images to a 3D model. Image by MNHN.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 7, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Streptosyllis Webster & Benedict 1884
No full textGenus Streptosyllis Webster & Benedict 1884 Streptosyllis Webster & Benedict, 1844: 711. Streptosyllis - San Martín, 2003: 120. Streptosyllis - San Martín & Hutchings, 2006: 354–355. Type species: Streptosyllis arenae Webster & Benedict, 1884. Diagnosis: Body small. Four eyes, occasionally anterior pair of eyespots present. Palps fused at base, occasionally reduced to small papillae. Anterior parapodia with modified compound chaetae; sometimes with enlarged aciculae. Dorsal simple chaetae present, ventral simple chaetae absent. Compound chaetae homogomph or hemigomph, falcigerous, occasionally spinigerous. Dorsal cirri smooth, pseudoarticualated or articulated with granular inclusions. Ventral cirri digitiform, sometimes longer than parapodial lobe. Pharynx unarmed with crown of soft papillae. Pygidium with one median and two lateral anal cirri.Published as part of Faulwetter, Sarah, Vasileiadou, Aikaterini, Papageorgiou, Nafsika & Arvanitidis, Christos, 2008, Description of a new species of Streptosyllis (Polychaeta: Syllidae) from the Mediterranean and Canary Islands with a re-description of Streptosyllis arenae and comments on the taxonomy of Streptosyllis and some morphologically similar genera, pp. 1-18 in Zootaxa 1847 on page
Fig. 4 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 4. Example of the projection images resulting from the scanning process. Image by HCMR micro- CT lab.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 6, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Fig. 10. Measuring the maximum width W in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
No full textFig. 10. Measuring the maximum width W (in pixels) of the projected specimen (as the distance from the rotation axis - dotted line - to the farthest end of the sample) to calculate the number of radiographs needed. This measurement is done for the angular position of the rotating platform where the projected specimen is the widest. For a complete rotation, the projected specimen would stay within the limits of the rectangle. Photo by MNHN.Published as part of Keklikoglou, Kleoniki, Faulwetter, Sarah, Chatzinikolaou, Eva, Wils, Patricia, Brecko, Jonathan, Kvaček, Jiří, Metscher, Brian & Arvanitidis, Christos, 2019, Micro-computed tomography for natural history specimens: a handbook of best practice protocols, pp. 1-55 in European Journal of Taxonomy 522 on page 17, DOI: 10.5852/ejt.2019.522, http://zenodo.org/record/265654
Characterisation of pollution status and hydrocarbon degraders in seawater of Mediterranean tourist ports
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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