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201 results for “Cocos”
Nicaragua: Región Autónoma Atlántico Norte: Rio Coco: Amaca, Lat. 14.280833, Long. 85.165, 9Apr02, col. JeanMichel Maes (MEL 446055 / 446057, 3 Hembras). in Cicadidae (Homoptera) de Nicaragua: Catalogo ilustrado, incluyendo especies exóticas del Museo Entomológico de Leon
Nicaragua: Región Autónoma Atlántico Norte: Rio Coco: Amaca, Lat. 14.280833, Long. 85.165, 9Apr02, col. JeanMichel Maes (MEL 446055 / 446057, 3 Hembras).
Regression data for "Bank Risk-Taking and Market Discipline: Evidence from CoCo Bonds in Korea"
<p>This repository contains the main regression data for the paper "Bank Risk-Taking and Market Discipline: Evidence from CoCo Bonds in Korea" by Younghwan Lee and Alex Haerang Park.</p>
Fig. 36 in New Genera and Species of Weevils from the Galapagos Islands, Ecuador, and Cocos Island, Costa Rica (Coleoptera; Curculionidae; Entiminae; Entimini)
Fig. 36. Coconotus tuberculatus Anderson and Lanteri, dorsal habitus, female.
Figs. 1–2 in New Genera and Species of Weevils from the Galapagos Islands, Ecuador, and Cocos Island, Costa Rica (Coleoptera; Curculionidae; Entiminae; Entimini)
Figs. 1–2. Galapagonotus cuneiformis (Waterhouse), female. 1, Lateral habitus; 2, dorsal habitus.
Fig. 3 in Unraveling the taxonomic identity of Cocos nucifera f. palmyrensis (Arecaceae: Cocoseae)
Fig. 3. – Close-up of the original note on original
GinJinn2: COCO annotation file for the stomata analysis
<p>COCO annotation file for the stomata analysis presented in "GinJinn2: Object detection and segmentation for ecology and evolution".</p>
Figure 4 in The genus Floresorchestia (Amphipoda: Talitridae) on Cocos (Keeling) and Christmas Islands
Figure 4. Floresorchestia poorei sp. nov., paratype, male, 11.7 mm, AM P80193.
COCO dataset and neural network weights for micro-FTIR particle detection on filters.
<h3>The IMPTOX project has received funding from the EU's H2020 framework programme for research and innovation under grant agreement n. 965173. Imptox is part of the European MNP cluster on human health.</h3> <p>More information about the project <a href="https://www.imptox.eu/en/">here</a>.</p> <p><strong>Description:</strong> This repository includes the trained weights and a custom COCO-formatted dataset used for developing and testing a Faster R-CNN R_50_FPN_3x object detector, specifically designed to identify particles in micro-FTIR filter images.</p> <p><strong>Contents:</strong></p> <ol> <li> <p><strong>Weights File (<code>neuralNetWeights_V3.pth</code>):</strong></p> <ul> <li>Format: .pth</li> <li>Description: This file contains the trained weights for a Faster R-CNN model with a ResNet-50 backbone and a Feature Pyramid Network (FPN), trained for 3x schedule. These weights are specifically tuned for detecting particles in micro-FTIR filter images.</li> </ul> </li> <li> <p><strong>Custom COCO Dataset (<code>uFTIR_curated_square.v5-uftir_curated_square_2024-03-14.coco-segmentation.zip</code>):</strong></p> <ul> <li>Format: .zip</li> <li>Description: This zip archive contains a custom COCO-formatted dataset, including JPEG images and their corresponding annotation file. The dataset consists of images of micro-FTIR filters with annotated particles.</li> <li>Contents: <ul> <li><strong>Images:</strong> JPEG format images of micro-FTIR filters.</li> <li><strong>Annotations:</strong> A JSON file in COCO format providing detailed annotations of the particles in the images.</li> </ul> </li> <li>Management: The dataset can be managed and manipulated using the <a href="https://pypi.org/project/pycocotools/">Pycocotools</a> library, facilitating easy integration with existing COCO tools and workflows.</li> </ul> </li> </ol> <p><strong>Applications:</strong> The provided weights and dataset are intended for researchers and practitioners in the field of microscopy and particle detection. The dataset and model can be used for further training, validation, and fine-tuning of object detection models in similar domains.</p> <p><strong>Usage Notes:</strong></p> <ul> <li>The <code>neuralNetWeights_V3.pth</code> file should be loaded into a PyTorch model compatible with the Faster R-CNN architecture, such as Detectron2.</li> <li>The contents of <code>uFTIR_curated_square.v5-uftir_curated_square_2024-03-14.coco-segmentation.zip</code> should be extracted and can be used with any COCO-compatible object detection framework for training and evaluation purposes.</li> <li>Code can be found on the related <a href="https://github.com/ThibaultSchowing/IMPTOX" target="_blank" rel="noopener">Github repository.</a></li> </ul> <p> </p>
Green synthesis of ZnO nanoparticles using Cocos nucifera leaf extract: Characterization, antimicrobial, antioxidant, and photocatalytic activity
<p>Zinc oxide nanoparticles (ZnO NPs) have been successfully prepared using <em>Cocos nucifera</em> leaf extract and investigated with their antimicrobial, antioxidant, and photocatalytic activity. The structural, compositional, and morphological properties of the NPs were recorded and studied systematically to confirm the synthesis. The aqueous suspension of NPs showed a UV-Vis. absorption maxima of 370 nm indicating primarily its formation. The XRD analysis identified the NPs with hexagonal wurtzite structure with an average particle size of 16.6 nm. The FTIR analysis identified some biomolecules and functional groups in the leaf extract as responsible for the encapsulation and stabilization of ZnO NPs. The EDX analysis showed the desired elemental compositions in the material. A flower-shaped morphology of ZnO NPs was observed by SEM with a grain size of around 15 nm. The optical properties of the NPs were studied by UV-Vis spectroscopy and the bandgap was calculated as 3.37 eV. The Prepared ZnO NPs have demonstrated antimicrobial activity against <em>T. harzianum</em>, and <em>S. aureus</em> with a ZOI (zone of inhibition) of 14 and 10 mm, respectively. The photocatalytic behavior of ZnO NPs showed absorbance degradation at around 640 nm and discolored methylene blue dye after one hour with a degradation maximum of 84.29 %. Thus, the prepared ZnO NPs could be used potentially in antibiotic development, pharmaceutical industries, and as photocatalysts. </p>
Coco the elephant
Coco the elephant Hand carved from a coconut, bought on a beach in sri-lanka shot on a turntable, low quality images, made in autodesk memento. Source: Objaverse 1.0 / Sketchfab
Green synthesis of ZnO nanoparticles using Cocos nucifera leaf extract: Characterization, antimicrobial, antioxidant, and photocatalytic activity
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FIGURE 5 in A new species of planthopper belonging to the genus Oecleus Stål, 1862 (Hemiptera Fulgoroidea: Cixiidae) from coconut palm (Cocos nucifera L) in Jamaica
FIGURE 5. Male terminalia of Oecleus mackaspringi sp. n.; A. lateral view, B. ventral view, and C. dorsal view.
FIGURE 3 in A new species of planthopper belonging to the genus Oecleus Stål, 1862 (Hemiptera Fulgoroidea: Cixiidae) from coconut palm (Cocos nucifera L) in Jamaica
FIGURE 3. Adult male Oecleus mackaspringi sp. n.; A. head frontal view, B. head, pronotum, and mesonotum lateral view, C. head, pronotum, and mesonotum dorsal view, scale=1mm.
FIGURE 9 in A new species of planthopper belonging to the genus Oecleus Stål, 1862 (Hemiptera Fulgoroidea: Cixiidae) from coconut palm (Cocos nucifera L) in Jamaica
FIGURE 9. Maximum Likelihood phylogenetic tree based on 18S sequence data. Branch support was assessed using 1,000 bootstrap replicates with Haplaxius, Myndus, and Nymphomyndus representing outgroups within the Oecleini.
FIGURE 6 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 6. Aedeagus of Agoo beani sp. n.; A. right lateral view, B. left lateral view, and C. dorsal view.
FIGURE 7 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 7. Maximum likelihood phylogenetic trees (1,000 replicates) demonstrating the relationship of the novel taxon, Agoo beani sp. n. relative to other species in Agoo and other genera within the Cenchreini based on the: A. COI gene, B. 18S gene, and C. consensus tree utilizing both the COI and 18S loci.
FIGURE 3 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 3. Agoo beani sp. n., male adult; A. head frontal view, B. head, pronotum and mesonotum dorsal view, C. head, pronotum and mesonotum lateral view, scale bar = 1mm.
FIGURE 1 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 1. Habitat in Spring Garden, Portland Parish, Jamaica where the holotype of Agoo beani sp. n. was collected.
FIGURE 2 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 2. Agoo beani sp. n., male adult habitus; A. body lateral view and B. body dorsal view, scale bar = 1 mm.
FIGURE 5 in A new species of planthopper in the genus Agoo Bahder & Bartlett (Hemiptera Fulgoroidea: Derbidae) from coconut palm (Cocos nucifera L.) in Jamaica
FIGURE 5. Male terminalia of Agoo beani sp. n.; A. lateral view, B. ventral view, and C. dorsal view.
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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)
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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.