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499 results for “delineation”
Fig. 2b in Species Delineation of Malaysian Mangrove Fireflies (Coleoptera: Lampyridae) using DNA Barcodes
Fig. 2b. Continued neighbor joining tree of partial COI gene sequences (DNA barcode) for male firefly species based on genetic distances calculated with the Kimura 2 parameter model. Habitus image of Pteroptyx mangrove firefly is shown next to species name.
Fig. 3 in Species Delineation of Malaysian Mangrove Fireflies (Coleoptera: Lampyridae) using DNA Barcodes
Fig. 3. Female and larval association of firefly species in Malaysia. Process IDs (MYFI) with species names are males; an asterisk (*) denotes a female; an octothorpe (#) denotes larva. Numbers on branches are bootstrap values>50%.
Fig. 2a in Species Delineation of Malaysian Mangrove Fireflies (Coleoptera: Lampyridae) using DNA Barcodes
Fig. 2a. Partial neighbor joining tree of partial COI gene sequences (DNA barcode) for male firefly species based on genetic distances calculated with the Kimura 2 parameter model. Habitus images of mangrove fireflies of the genus Pteroptyx are shown next to the name of species.
Fig. 1 in Species Delineation of Malaysian Mangrove Fireflies (Coleoptera: Lampyridae) using DNA Barcodes
Fig. 1. Firefly collection sites in Malaysia. Circles are mangrove sites; triangles are riparian sites outside of the mangrove ecosystem. Inset: relative location of Malaysia in Southeast Asia.
Figure 10 in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 10. Scanning electron micrographs of the anterior of the palate of A, Clinus spatulatus; B, Clinus superciliosus (with permission of NISC). D = diastema between teeth of upper jaw; L = lip; LA = lamellae; TD = tooth band; V = vomer; VA = valve.
Figure 9. A in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 9. A, Bayesian tree of the combined mtDNA and nDNA fragments with a total of 2070 bp. Numbers at nodes are support values (ML above and Bayesian PP and MP below); values less than 50% are marked with - -; B, ML tree of the control region only showing the monophyly of the Clinus superciliosus and C. spatulatus clades. Only ML support values are shown.
Figure 11. Sea surface temperatures for 15 March 2011 in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 11. Sea surface temperatures for 15 March 2011, showing usual summer temperature gradient and upwelling areas on the west coast. (The MODIS Sea Surface Temperature data were downloaded from the Marine Sensing Unit website http://www.afro-sea.org.za).
Figure 8. A, Linnaeus type NRM4729a in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 8. A, Linnaeus type NRM4729a, photograph; B, radiograph; C, Linnaeus type ZIU 54 photograph, identified as Clinus taurus of Gilchrist & Thompson, 1908; D, radiograph.
Figure 7. A, Gronovius type specimens BMNH 53.11.12.49 in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 7. A, Gronovius type specimens BMNH 53.11.12.49, Clinus mycterizans, identified as Clinus superciliosus; B, BMNH 53.11.12.50, Clinus mycterizans, identified as Clinus cf. ornatus; C, BMNH 53.11.12.51, Clinus mycterizans, identified as Clinus superciliosus; D, BMNH 53.11.12.52, Clinus ignobilis, identified as Clinus acuminatus (Bloch & Schneider, 1801); E, MNHN 2143, Castelnau type specimen of Clinus marmoratus photograph; F, radiograph, identified as Clinus agilis Smith, 1931; G, Clinus superciliosus Linnaeus type NRM135a, photograph; H, radiograph.
Figure 4. A in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 4. A, Clinus ornatus, Lectotype, SAM MB-F038012, male, 158 mm SL (drawn by Elaine Heemstra); B, orbital cirri; C, D, Clinus ornatus underwater, False Bay (C, G. Zsilavecz; D, unknown); E, Clinus spatulatus, SAIAB 93658, male, 84.6 mm SL, Klein River estuary, aquarium photograph (W. Holleman); F, orbital cirri (from Bennett 1983); G, Clinus spatulatus underwater, male; H, female, Bot River estuary; I, female, Klein River estuary (G. Zsilavecz).
Figure 5 in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 5. Posterior of skull with first three dorsal-fin spines and supporting pterygiophores: A, Clinus superciliosus; B, Clinus ornatus.
Figure 3. A in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 3. A, Clinus musaicus, holotype, SAIAB 96616, male, 108 mm SL, Windmill, False Bay (drawn by Elaine Heemstra); B, orbital cirri; C, Clinus musaicus, photograph of holotype (G. Zsilavecz); D–F, Clinus musaicus underwater, habitat and different colour forms, False Bay (G. Zsilavecz).
Figure 6. A in Delineating the fishes of the Clinus superciliosus species complex in southern African waters (Blennioidei: Clinidae: Clinini), with the validation of Clinus arborescens Gilchrist & Thompson, 1908 and Clinus ornatus Gilchrist & Thompson, 1908, and with descriptions of two new species
Figure 6. A, Clinus superciliosus, SAIAB 8260, male, 78 mm SL (drawn by David Voorveld); B, orbital cirri; C–F, Clinus superciliosus underwater, different colour forms and habitats, False Bay; C is the 'default' colour form (G. Zsilavecz).
Data for the Big Boom Theory: the Common Nighthawk wing-boom display delineates exclusive nesting territories
<p>Understanding the functional significance of bird sounds can provide valuable insight into behavior and how birds use habitat. We show that the Common Nighthawk wing-boom display is a territorial signal associated with the nest location that can be used to identify territorial habitat use. In other words, the Common Nighthawk wing-boom display can be considered analogous to song due to its potential function in territoriality. We captured, tagged, and tracked 21 male Common Nighthawks in northeastern Alberta to confirm the functional significance of the wing-boom display and describe Common Nighthawk territoriality. Mean wing-boom use density (hereafter "area") size was 10.2 ha (SD=11.7 ha). We found minimal overlap in wing-boom area (5 of 15 neighboring male pairs, 0.2%-4.5% overlap), suggesting the wing-boom display represents an exclusive territory. Comparison of wing-boom locations and random points within the wing-boom area confirmed that male Common Nighthawks select areas near the nest to perform wing-boom displays. There was high wing-boom area overlap for the same individual between years. Differences between years reflected shifts in nest location, suggesting that the wing-boom display is a good indicator of the nest location and territory. Future Common Nighthawk surveys should record the type of acoustic signal observed to differentiate territorial and nesting habitat use. Many taxa that produce non-vocal sounds as part of breeding displays could similarly benefit from a functional classification of song to provide insight into habitat use.</p>
PTB-XL (v1.0.1) Soft Segmentations (Delineation)
<p><strong>Overview</strong></p> <p>The dataset provides (soft) segmentation/delineation masks for the PTB-XL ECG dataset. The underlying original dataset (v1.0.1) is available from PhysioNet (<a href="https://doi.org/10.13026/kfzx-aw45">doi.org/10.13026/kfzx-aw45</a>) For further details on the orginal dataset, consult the dataset descriptor (Wagner, P., Strodthoff, N., Bousseljot, RD. et al. PTB-XL, a large publicly available electrocardiography dataset. Sci Data 7, 154 (2020). <a href="https://doi.org/10.1038/s41597-020-0495-6)">https://doi.org/10.1038/s41597-020-0495-6)</a>.</p> <p><strong>Dataset</strong></p> <p>The dataset was obtained by training a U-net segmentation model using</p> <p>ECGDeli (Pilia, N., Nagel, C., et al. ECGdeli - An open source ECG delineation toolbox for MATLAB. SoftwareX 13, 100639 (2021).<br> <a href="https://doi.org/10.1016/j.softx.2020.100639">https://doi.org/10.1016/j.softx.2020.100639</a>.).</p> <p>as initial labels increased by adding intermediate segments. Details on the model architecture will be described in a forthcoming article (Wagner, P., Mehari, T. et al.).</p> <p><strong>Dataset format</strong></p> <p>In the folder ptbxl_segmentations_8bit, we provide files in numpy format (8 bit unsigned integer) with filenames corresponding to the ECG ID of the corresponding sample in PTB-XL. Each file contains an array of shape 1000x12x24, where the first axis corresponds to time steps in the sequence (10s at 100 Hz), the second refers to the 12 ECG leads (['I', 'II', 'III', 'aVR', 'aVL', 'aVF', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6']) and the third axis refers to ['P-Onset', '(p', 'P-Peak', 'p)', 'P-Offset', 'pq', 'QRS-Onset', '(q', 'Q-Peak', 'qr', 'R-Peak', 'rs', 'S-Peak', 'q)', 'QRS-Offset', 'qj', 'J-point', 'jt', 'T-Onset', '(t', 'T-Peak', 't)', 'T-Offset', 'tp']. For every time step and channel it provides a soft output distribution over the 24 output classes of the segmentation model. </p>
Development of microsatellite markers for colony delineation of the invasive Asian subterranean termite in South Florida and Taiwan
<p>Delineating the colony identity of <em>Coptotermes gestroi </em>(Wasmann) is a core issue of colony elimination in the implementation of subterranean termite baiting systems. Invasion history is believed the possible cause of genetic variabilities among colonies. Haplotype network analysis of mitochondrial cytochrome <em>c</em> oxidase subunit II revealed the multiple origins of American <em>C</em>.<em> gestroi</em> from<em> </em>the Philippines and Southeast Asia and the Taiwan population only from the Philippines. We further developed 21 new microsatellite markers for the comparison of genetic variabilities on colony delineation of <em>C</em>.<em> gestroi </em>colonies from South Florida (invaded ~30 years; 3–7 generations) and Taiwan (~110 years; 13–27 generations). The present microsatellite markers with 1–4 alleles per locus have validated the effectiveness of colony delineation for three incipient colonies reared in the laboratory and three field colonies from Taiwan. Genetic admixture of the Floridian <em>C</em>. <em>gestroi</em> probably caused by recent invasion history, multiple invasions, and anthropogenic activities among regions. A possible introduction event likely occurred through human-mediated activities between Fort Lauderdale and Miami. Overall, these new microsatellite markers provide suitable and efficient candidate genetic markers for colony delineation of <em>C</em>. <em>gestroi</em> to consolidate the effectiveness of the colony elimination system in termite management.</p>
Dose-escalation Study of a Contrast Agent for Delineation of Urological Anatomy in Minimally Invasive Surgery
ClinicalTrials.gov study NCT03106038. IPD Sharing: NO. Countries: 1. Publications: 1.
A Retrospective Survey-based Multicenter Study to Delineate the Molecular and Phenotypic Spectrum of Epilepsy-dyskinesia Syndromes
ClinicalTrials.gov study NCT06585605. IPD Sharing: NO. Countries: 1. Publications: 5.
Delineation of Novel Monogenic Disorders in the United Arab Emirates Population
ClinicalTrials.gov study NCT03589079. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Non-magnified NBI in Barrett's Oesophagus Neoplasia Detection and Delineation
ClinicalTrials.gov study NCT04621474. IPD Sharing: NO. Countries: 1. Publications: 5.
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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.