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FIGURES 11–12 in Tamdamaeus staryi gen. nov., sp. nov. (Acari, Oribatida, Damaeidae) from Vietnam, with remarks on certain unusual diagnostic features
FIGURES 11–12. Tamdamaeus staryi sp. nov., adult: 11—leg III, left, antiaxial view; 12—leg IV, left, antiaxial view. Scale bar 100 µm.
FIGURE 2 in Tamdamaeus staryi gen. nov., sp. nov. (Acari, Oribatida, Damaeidae) from Vietnam, with remarks on certain unusual diagnostic features
FIGURE 2. Tamdamaeus staryi sp. nov., adult: ventral view (left palp and legs except some left basal parts not shown). Scale bar 100 µm.
FIGURE 1 in Tamdamaeus staryi gen. nov., sp. nov. (Acari, Oribatida, Damaeidae) from Vietnam, with remarks on certain unusual diagnostic features
FIGURE 1. Tamdamaeus staryi sp. nov., adult: dorsal view (legs except some right basal parts not shown). Scale bar 100 µm.
Data from: The interest of inflammatory biomarkers in the diagnostic approach
<p><span>Background</span><span>: </span><span>The role of inflammatory biomarkers in the etiological orientation is increasingly under study, and their potential significance is recognized. </span></p> <p><span>Methods:</span><span> Procalcitonin (PCT), neutrophil-lymphocyte ratio (NLR), C-reactive-protein (CRP), fibrinogen, ferritinaemia and lactate were measured on admission in all patients. The optimal cut-off values for the sensitivities and specificities to the infectious diseases were determined using the receiver operating curve(ROC) analysis and Youden's index. The diagnostic accuracy of biomarkers and their combinations for predicting infectious etiologies was calculated by area under the curve(AUC).</span></p> <p><span>Results:</span> <span>A total of 164 patients were included in the study.</span><span> The mean age was 50.7 ± 18 years [18 – 92 years]. Fifty-three patients (32.3%) were over 65 years old. Patients were split into four groups: 53 patients (32.3%) with infectious diseases of which 45 patients (84.9%) presented bacterial infections, 62 patients (37.8%) with inflammatory diseases, 14 patients (8.5%) with neoplasms and 35 patients (21.3%) with other diagnosis.</span><span> The high mean levels of Leukocytes (12047 cells/mm3, Neutrophils (9015 cells/mm<sup>3</sup>), Neutrophils to lymphocytes ratio (NLR) (9.7), C reactive protein (CRP) (152.5 mg/L), Procalcitonin (PCT)(3.28 ng/ml)and fibrinogen (5.37g/L) were </span><span>associated to infectious etiologies with statistically significant difference</span><span>s. Thus, we identified cut-offs of NLR(6.1), CRP (</span><span>123 mg/L),</span><span>PCT(0</span><span>.24 ng/mL)</span><span> and fibrinogen (4.9 g/L) to discriminate infectious etiologies in our population. </span><span>For diagnosing infectious diseases, the CRP showed higher AUC( Area under the curve) </span><span>(Sp: 89.7%, Se: 64.3%, AUC=0.9, CI: 0.83-0.96, p<10<sup>-3</sup>) t</span><span>han PCT (Sp: 86.1%,Se: 62.3%, AUC=0,87, CI:0.80-0.93, p<10-3), NLR (</span><span>Sp: 87.1%, Se: 61%, AUC=0.81, CI: 0.731- 0.902, p <10<sup>-3</sup></span><span>)</span><span> and Fibrinogen (Sp: 84.7%, Se:68.3%, AUC=0.77, CI: 0.65 – 0.98, p<10<sup>-3</sup>).</span><span>The combination of CRP and NLR levels improved the diagnostic accuracy (AUC 0.93, 95% CI 0.84–0.96; p< 10<sup>-3</sup>) for distinguishing between infectious and non-infectious diseases.</span></p> <p><span>Conclusions:</span> <span>Our study is characterized by the variety of included disease categories. It</span><span> showed the usefulness of inflammatory biomarkers, particularly the NLR and its combination with CRP, which are low cost and easy to assess, in promoting the diagnostic accuracy to distinguish infections among inflammatory, neoplasia and other diagnoses.</span></p>
FIGURES 4a–o in Song dialects as diagnostic characters - acoustic differentiation of the Canary Island Goldcrest subspecies Regulus regulus teneriffae Seebohm 1883 and R. r. ellenthalerae Päckert et al. 2006 (Aves: Passeriformes: Regulidae)
FIGURES 4a–o. Territorial song of Regulus regulus teneriffae, song types indicated on the sonagrams, lower left. La Gomera: a–d, song type A, strophes of four different males; Tenerife: e, g–h, song type A1 withfixed motiv I, strophes of three different males; f, rare song type F; i, song type B, male from Esperanza Forest; k–m, song type B, three different males from Anaga Mts; n, song type C, male from Anaga Mts; o, song type D, male from Anaga Mts.
FIGURE 2 in Song dialects as diagnostic characters - acoustic differentiation of the Canary Island Goldcrest subspecies Regulus regulus teneriffae Seebohm 1883 and R. r. ellenthalerae Päckert et al. 2006 (Aves: Passeriformes: Regulidae)
FIGURE 2. Distribution of Gold and Firecrests on the Atlantic islands. Distribution of dialect song types from the Canary Islands is indicated by symbols on the according island.
FIGURES 1a–d in Song dialects as diagnostic characters - acoustic differentiation of the Canary Island Goldcrest subspecies Regulus regulus teneriffae Seebohm 1883 and R. r. ellenthalerae Päckert et al. 2006 (Aves: Passeriformes: Regulidae)
FIGURES 1a–d. Vocalization pattern of Goldcrests; a, bipartite song of European Goldcrests, R. r. regulus, Czech Republik; b, tripartite song of R. r. azoricus, São Miguel; syntax: introduction (unit 1) + mid part (ascending phrase, unit 2) + final part (terminal flourish, unit 3); c, parameters measured in sonagraphic analysis indicated by horizontal and vertical lines; d, subsong of R. r. japonensis, Far East Siberia; from a continuous performance of about two minutes.
FIGURE 3 in Song dialects as diagnostic characters - acoustic differentiation of the Canary Island Goldcrest subspecies Regulus regulus teneriffae Seebohm 1883 and R. r. ellenthalerae Päckert et al. 2006 (Aves: Passeriformes: Regulidae)
FIGURE 3. Scatterplot of discriminant function 1 vs. function 2 for subunits of main song part of Canarian Goldcrest dialects and for subsong trills.
FIGURES 5a–o in Song dialects as diagnostic characters - acoustic differentiation of the Canary Island Goldcrest subspecies Regulus regulus teneriffae Seebohm 1883 and R. r. ellenthalerae Päckert et al. 2006 (Aves: Passeriformes: Regulidae)
FIGURES 5a–o. Territorial song of Regulus regulus ellenthalerae, song types indicated on the sonagrams, lower left. El Hierro: a–b, song type A2 with interposed element (arrows) between units 1 and 2, two different males; c–g, song type E with two local rhythmic motifs of unit 2, three different males; h) variation of type A with calllike elements; La Palma: i–o, song type F with more or less extended ascending unit 2 consisting of diverse modulated element types, five different males (i, k: two strophes of one male).
FIGURE 2 in Erythrocyte nuclear size as a better diagnostic character than cell size in the identification of live cryptic polyploid species
FIGURE 2. Comparison of nuclear areas of the individuals included in the estimation of boundary values (A) and the remaining individuals (B) of Odontophrynus cordobae and O. americanus. The dotted line represents the limit nuclear area to separate species. Upper and lower ends of boxes represent 75th and 25th percentiles. Whiskers represent the minimum and the maximum values. The center line within each box shows the locations of the sample median and the plus sign indicates the location of the sample mean.
FIGURE 1 in Erythrocyte nuclear size as a better diagnostic character than cell size in the identification of live cryptic polyploid species
FIGURE 1. Comparison of nuclear areas of the individuals included in the estimation of boundary values (A) and the remaining individuals (B) of Pleurodema kriegi and P. cordobae. The dotted line represents the limit nuclear area to separate species. Upper and lower ends of boxes represent 75th and 25th percentiles. Whiskers represent the minimum and the maximum values, except for outlier points. The center line within each box shows the locations of the sample median and the plus sign indicates the location of the sample mean.
The young massive SMC cluster NGC 330 seen by MUSE. III. Stellar parameters and rotational velocities - diagnostic plots
<p>This Zenodo repository hosts additional diagnostic plots for the article "<em>The young massive SMC cluster NGC 330 seen by MUSE. III. Stellar parameters and rotational velocities</em>" by Bodensteiner et al. 2023. It provides three diagnostic figures for each of the 282 stars in the sample described in the paper. Three example figures are given for one star (#654) in the Figures 2, 3, and 4 in the paper.</p> <p>Here, we provide a .zip archive with three additional figures for all other stars that are similar to the ones in the paper:</p> <ol> <li>the <strong>spectroscopic fit</strong> ("<em>id###_spec.pdf</em>"): Each panel, one for each of the six diagnostic spectral regions, shows the combined spectrum (black) and the best-fitting tlusty model (red). Grayed-out regions are only shown for comparison but were not included in the fit, which may vary from star to star.</li> <li>the <strong>photometric fit</strong> ("<em>id###_phot.pdf</em>"): The top panel shows a comparison between the observed HST fluxes (black crosses) and the flux (colored circles) computed from the best-fit model (gray line) by convolution with the HST filters (colored lines). The bottom panel gives residuals.</li> <li>the <strong>combined fit results</strong> ("<em>correlationplot_comb_id###.pdf</em>"): The diagonal gives the χ2-distribution as a function of each parameter and the panels below show 2-dimensional χ2 -maps. The red line marks the 95% confidence level.</li> </ol> <p>The star ids (###) correspond to the ones provided in Table 1 (also available at the CDS).</p>
HRFMD (Hydrological model based Random Forest Model Diagnostics) results
<p>Results accompanying the publication titled: Advancing Hydrological Model Diagnostics: An Exploratory Approach Using Random Forest Models and Large-sample Catchment Dataset</p>
Fig. 7 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 7. Pelvic girdles in acetabular (left column) and dorsal (right column) views of representative pseudine species compared to that of Xenohyla. The pelvis of Pseudis minuta has been drawn from a dry specimen. Skeletal data from CT-scans available at Morphosource. Scale bars equal 1 mm. Anatomical abbreviations in section 2.2.5.
Fig. 6 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 6. Pectoral girdles and forelimb bones of representative pseudine species compared to that of Xenohyla. Humerus in ventral view, radio-ulna in medial view, manus in plantar view, and close-up of finger in medial view. Skeletal data from CT-scans available at Morphosource. Scale bars equal 1 mm. Anatomical abbreviations in section 2.2.4.
Fig. 3 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 3. Skulls of representative pseudine species in dorsal (left column), lateral (central column), and ventral (right column) views. Skeletal data from CT-scans available at Morphosource. Scale bars equal 1 mm. Anatomical abbreviations in section 2.2.1.
Fig. 10 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 10. Evolutionary trends of digit morphology in pseudines. Schematic drawings of the distal part of finger IV (terminal phalanx, intercalary element, and penultimate phalanx) depict different character state combinations in pseudines and other hylids. See section 2.4 for methodological details.
Fig. 9 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 9. Phylogenetic signal and homoplasy in the skeleton of pseudines and other hylids. Potential synapomorphies and autapomorphies are depicted as circles (if unambiguous) or squares (if ambiguous) on the scaffold tree, with color indicating the skeletal partition. Those unique within Hylidae are bordered in dark grey. A character distribution map indicates partition contribution to the whole data matrix. The homoplasy of each character is indicated by the homoplasy index (bottom left). See section 2.4 for methodological details.
Fig. 2 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 2. Skeleton (in dorsal view) of Pseudis platensis compared to that of a tree-dwelling hylid. Skeletal data from CT-scans available at Morphosource.
Fig. 5 in Comparative osteology of paradoxical frogs (Hylidae: Pseudae) with comments on diagnostic features, evolutionary trends and potential aquatic adaptations
Fig. 5. Vertebral columns (in dorsal view) of representative pseudine species compared to that of Xenohyla. Close-ups are of the atlas-presacral II joint (in dorsal view) and the urostyle (in ventral view) of Pseudis platensis. Skeletal data from CT-scans available at Morphosource. Scale bars equal 1 mm. Anatomical abbreviations in section 2.2.3.
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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.