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9,302 results for “DETECT”
A small dataset for demonstrating the benchmarking of spot-detection/spot-counting workflows with BIAFLOWS
<p>The images were generated by <a href="http://www.cs.tut.fi/sgn/csb/simcep/tool.html">SIMCEP</a>, a widefield fluorescence microscopy biological images simulator.</p> <p>The dataset contains 5 input images and 5 ground-truth images with the suffix _lbl.</p>
Yellow parking spots in Trento detected with Virtual City Explorer
<p>Yellow parking spots detected with the <a href="https://zenodo.org/record/3540843#.XeVahHH7RhF">Virtual City Explorer</a>, using crowdworkers from MechanicalTurk. This is raw data, before any fusion takes place. Therefore, expect spots that have been detected multiple times.</p> <p>The dataset is distributed using <a href="https://github.com/smart-data-models/dataModel.Parking/blob/master/OnStreetParking/doc/spec.md">FiWare models format.</a></p> <p>Provenance and <a href="https://zenodo.org/record/3531962#.XeU1wHH7RhE">crowd-voc</a> description included.</p>
Figures 1-4 in Ultrastructural detection of lipids in the cephalic salivary glands of Apis mellifera and Scaptotrigona postica (Hymenoptera: Apidae) workers
Figures 1-4. Lipids, detected using imidazole-osmium, in cephalic salivary gland (CSG) cells of Apis mellifera workers. (1-2) Small droplets of lipid (arrows) dispersed in the cellular cytoplasm of a newly emerged worker (NE), mitochondria (m) of medium electron density and narrow alveolar lumens (l) containing scarce IO-positive secretion (s). (3-4) Gland cells from workers working in the brood comb area (CA). Note lipid droplets dispersed in the cytoplasm (arrows) (1C), heterogeneous granules (gr) (1D) and large amounts of lipid secretion (s) in the alveolar lumen (l). (c) Cuticle, (n) nuclei. Scale bars: 1, 2, 4 = 1 µm, 3 = 3 µm.
Figures 5-8 in Ultrastructural detection of lipids in the cephalic salivary glands of Apis mellifera and Scaptotrigona postica (Hymenoptera: Apidae) workers
Figures 5-8. Imidazole-osmium preparations for lipid detection in gland cells from Apis mellifera workers. (5-6) Gland cells from worker working in the brood comb area (CA) (5) and forager (FO) (6) showing lipid droplets dispersed in the apical region (arrow), infolds (i) of the apical membrane forming channels flanked by mitochondria (m). (6) Note the presence of lipid droplets in the apical channels (arrows). (7-8) Osmium-imidazole-positive dots spread in the cytoplasm (arrows) and vesicles (ve) of forager cellular glands. (c) Cuticle, (s) secretion. Scale bars: 5 = 3 µm, 6 = 2 µm, 7-8 = 1 µm.
Figure 3 in Are recaptures of banded birds efficient at detecting altitudinal migrations in the Atlantic Forest?
Figure 3. Schematic illustration of the altitudinal movements recorded on the slope of Núcleo Curucutu by the recapture of individually marked birds. White lines indicate the two lines of mist-nets at each locality. Source: Google Earth Pro (Image Landsat/Copernicus 2015).
Figure 3 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 3 Abundance of Phlebotominae Sand flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
Figure 2 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 2 Shannon's Index of Phlebotominae Sand Flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection- sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
Fig. 4 in Standard method for detecting Bombyx mori nucleopolyhedrovirus disease-resistant silkworm varieties
Fig. 4. IIM for placing silkworms on mulberry leaves. (A) One larva was placed on each leaf. (B) The larva eating the leaf. (C) The leaf after being eaten by the silkworm.
Fig. 3 in Standard method for detecting Bombyx mori nucleopolyhedrovirus disease-resistant silkworm varieties
Fig. 3. GIM for placing silkworms on mulberry leaves. (A) The leaves were arranged in the box after smearing them with BmNPV, and then they were air dried. (B) Five larvae were placed on each leaf. (C) The leaves after being eaten by the silkworms.
Figure 4 in Wafers in Saddle Bags: A Novel Dispensing System for Male Lures Used to Detect Invasive Fruit Flies (Diptera: Tephritidae)
Figure 4. Captures of Ceratitis capitata males in Jackson traps baited with either a polymeric plug containing 2 g TML or a saddle-bag containing 6 g TML at an Oahu (A) coffee field (wild males) or (B) citrus orchard (released males). Symbols represent means + 1 SE, where n = 15 traps per treatment per weathering interval at the coffee field and n = 12 at the citrus orchard. For a given weathering interval, means marked by different letters were significantly different (P <0.05, Holm-Šídák test).
Figure 3 in Wafers in Saddle Bags: A Novel Dispensing System for Male Lures Used to Detect Invasive Fruit Flies (Diptera: Tephritidae)
Figure 3. Captures of Bactrocera dorsalis males in Jackson traps baited with either a cotton wick containing 6 mL ME or a saddle-bag containing 6 g ME at study sites on Hawaii island or Oahu. Both fresh and aged wicks were deployed on Hawaii, but only fresh wicks were deployed on Oahu. Symbols represent means + 1 SE, where n = 15 traps per treatment per weathering interval for both study sites. For a given weathering interval, means marked by different letters were significantly different (P <0.05, Holm-Šídák test).
Figure 2 in Wafers in Saddle Bags: A Novel Dispensing System for Male Lures Used to Detect Invasive Fruit Flies (Diptera: Tephritidae)
Figure 2. Saddle bag dispensers. Top row (l to r): ME saddle bag in hand, with DDVP saddle bag on hanger; placement of ME saddle bag over DDVP saddle bag; hanger positioned inside Jackson trap. Bottom row (l to r): TML saddle bag in hand; TML saddle bag placed on hanger; hanger positioned inside Jackson trap.
Figure 1 in Wafers in Saddle Bags: A Novel Dispensing System for Male Lures Used to Detect Invasive Fruit Flies (Diptera: Tephritidae)
Figure 1. Standard method of baiting Jackson traps. Top row: Cotton wick containing ME in perforated basket and basket positioned inside Jackson trap. Bottom row: Polymeric plug containing TML in perforated basket and basket positioned inside Jackson trap.
Fig. 4 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 4. qPCR detection of intracellular stages of Eimeria in cecum and ileum from Mus musculus. -Delta Ct value (CtEimeria - CtMouse) from each tissue for 164 mice are plotted on the graph. The dotted line indicate the threshold of −5, values above the line are considered positive for the corresponding tissue. Circles represent negative samples, triangles indicate samples with Eimeria species identification and colors correspond to the Eimeria species identified in those samples. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 1. Geographical localization of house mice (Mus musculus) collected for this study and comparison of diagnostic methods for Eimeria. A) Localization from the 378 mice included in the present study, colors indicate the Eimeria species identified for each. B) Venn diagram showing the overlap between detection methods and successful genotyping identification of the isolates. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Detection and quantification of house mouse Eimeria at the species level - Challenges and solutions for the assessment of coccidia in wildlife
Fig. 3. Morphological and morphometrical characteristics of Eimeria oocyst isolated from Mus musculus. a) Photomicrographs at 1000x amplification of Eimeria oocyst from the three species isolated from Mus musculus (red = E. falciformis; green = E. ferrisi and yellow = E. vermiformis). Length/Width ratio from b) oocyst and c) sporocysts corresponding to each species (E. falciformis n = 31; E. ferrisi n = 127 and E. vermiformis n = 35). Mean ± 95% Confidence Interval is plotted. * Represent significant difference (Tukey HSD, p <0.05). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 3. Species delimitation of Trypanosoma cruzi clade. Maximum likelihood phylogeny with outgroup (Trypanosoma lewisi) and with Baysian support values presented 17 linages recognized as species for the PTP analysis. Monophyletic groups in red indicated single putative species as well as terminal branches in blue.. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 1. Giemsa staining of Trypanosoma sp. from ZB17–105 in BSK-M medium Representative images of ZB17-105 in the BSK-M medium are displayed at the same magnification (x1000). (a,b) flagellates resembling promastigote forms. (c) possibly epimastigote forms under division. K: kinetoplast, N: nucleus, F: flagellum.
Figure 1 in Detection of helminth parasites in commercialized turtles: threats to native Testudines in northeast India
Figure 1. Astiotrema reniferum: (A) entire, ventral view (arrow marks anterior to posterior denoted ovary, anterior testis, and posterior testes), (B) Anterior end, ventral view (arrow marks anterior to posterior denoted oral sucker, gonopore, acetabulum, and ovary), (C) Gonopore, and egg are marked by arrow anterior to posterior, and (D) Testes, ventral view.
Figure 4 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 4 Fluctuating asymmetry (mean and error deviation) observed in the antenna and tibia of Brevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
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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.