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470 results for “Coffee”
Dataset: Reborn Coffee, Inc. (REBN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Coffee Holding Co., Inc. (JVA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 2 in A mysterious wing spine in male coffee berry borers (Coleoptera: Curculionidae: Scolytinae)
Fig. 2. Low temperature-scanning electron microscope photographs showing the wing spine in three lef wings (a, b, c), and a detail of the spine (d).
Fig. 1. A in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 1. A red funnel trap used to capture CBB (Hypothenemus hampei) (A) and the methanol–ethanol lure (3: 1 ratio) enclosed in a semi-permeable membrane (B). CBB were collected in a plastic container containing 200 mL of soapy water. Photo Alex. E. Bustillo.
Fig. 2 in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 2. Number of CBB (Hypothenemus hampei) captured per trap per month (mean ± SEM) and corresponding berry infestation (%) on large coffee farms (≥ 20 ha) in Risaralda, Caldas, Colombia (A), and on small coffee farms (≤ 3 ha) in Viterbo, Caldas, Colombia (B) in 2003-2004. Note differences in axis scales.
Coffee3D - 3-D models for coffee trees using multiple-view stereo
<p>This is a set of images, odometry data, and 3-D point clouds for 8 coffee tree specimens. Images were captured by a Logitech C920 camera. Odometry data was produced using monocular visual SLAM by Mur-Artal & Tardos' <a href="https://github.com/raulmur/ORB_SLAM2">ORB-SLAM2 </a>SLAM system under <a href="https://github.com/thsant/3dmcap">3dmcap</a>.</p> <p>Two multiple-view stereo systems were employed in 3-D reconstruction: Furukawa & Ponce <a href="https://www.di.ens.fr/pmvs">PMVS</a> and Schöenberger's <a href="https://colmap.github.io">COLMAP</a>.</p>
Figure 4 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 4 External morphological characteristics of coffee leaf minerLeucoptera coffeella larvae. (A) Dorsal view of the larva body of the first larval instar. Arrow indicates primary seta. (B) Chewing mouthpiece of the second larval instar. Arrow indicates spine. (C) Ventral view of the third larval instar. Arrows indicate prolegs without crochets. (D) Ventral view of the fourth larval instar.Arrows indicate prolegs with crochets. (E) Ventral view of crochets in the shape of uniordinal circle in a fourth instar larva.Arrow indicates crochet. (F) Cephalic capsule of the fourth larval instar. Arrow indicates ecdysial line.
Figure 6 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 6 Leucoptera coffeella last abdominal segments. (A) Male last abdominal segment in ventral view, with a white bipartite segment. (B) Female last abdominal segment in ventral view, with a white tubular shape.
Figure 2 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 2 Leucoptera coffeella life cycle phases. (A) Egg Stage. (B) Larval stage. (C) Pupa stage. (D) Adult.
Figure 7 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 7 Leucoptera coffeella, male genitalia. (A) Tergite 8, coremata, sternite 8 and ejaculatory bulb ventral view. (B) Valva ventral view. (C) Gnathos ventral view. (D) Aedeagus dorsal view. Arrow indicates apex of aedeagus. C = coremata, T8 = tergite 8, S8 = sternite 8, b.e. = bulbus ejaculatorius, v = valva, g = gnathos.
Figure 3 in The coffee leaf miner, Leucoptera coffeella (Lepidoptera: Lyonetiidae): identification of the larval instars and description of male and female genitalia
Figure 3 Immatures of Leucoptera coffeella. (A) First instar larva. (B) Cephalic capsule of the first larval instar. Arrow indicates chewing mouthpiece. (C) Larva of the second instar. Arrow indicates first body segment. (D) Cephalic capsule of the second larval instar. (E) Larva of the third instar. (F) Cephalic capsule of the third larval instar. (G) Larva of the fourth instar. (H) Cephalic capsule of the fourth larval instar.
Figure 5 in First Record of the Coffee Berry Borer, Hypothenemus hampei (Ferrari, 1867), on the Hawaiian Island of Lanai (Coleoptera: Curculionidae: Scolytinae)
Figure 5. Map indicating the approximate locations (black stars) of the four CBB sampling sites on the island of Lanai. Inset: Position of Lanai (in black) within the Hawaiian Islands archipelago.
Figure 3 in First Record of the Coffee Berry Borer, Hypothenemus hampei (Ferrari, 1867), on the Hawaiian Island of Lanai (Coleoptera: Curculionidae: Scolytinae)
Figure 3. Lindgren funnel trap deployed in dryland forest at The Nature Conservancy Kanepuu Preserve, July 2020. Photograph by C.P.D.T. Gillett.
Figure 1 in First Record of the Coffee Berry Borer, Hypothenemus hampei (Ferrari, 1867), on the Hawaiian Island of Lanai (Coleoptera: Curculionidae: Scolytinae)
Figure 1. Dorsal and lateral views of an adult female specimen of Hypothenemus hampei (Ferrari, 1867), the coffee berry borer, from Munro Trail, Lanai. Length of specimen: 1.6 mm. Photograph by C.P.D.T. Gillett.
Figure 2 in First Record of the Coffee Berry Borer, Hypothenemus hampei (Ferrari, 1867), on the Hawaiian Island of Lanai (Coleoptera: Curculionidae: Scolytinae)
Figure 2. Lindgren funnel trap deployed on the native plant Freycinetia arborea in mesic / "cloud" forest alongside Munro Trail on Lanaihale, Lanai, July 2020. Photograph by C.P.D.T. Gillett.
Figure 4. Xylosandrus compactus boring coffee berries around the blossom area. X. compactus boring a in First Report of Exploitation of Coffee Beans by Black Twig Borer (Xylosandrus Compactus) and Tropical Nut Borer (Hypothenemus obscurus) (Coleoptera; Curculionidae: Scolytinae) in Hawaii
Figure 4. Xylosandrus compactus boring coffee berries around the blossom area. X. compactus boring a coffee berry (A, left), hole made by X. compactus on the endosperm (B, right); galleries or immature stages were not found.
Figure 2 in First Report of Exploitation of Coffee Beans by Black Twig Borer (Xylosandrus Compactus) and Tropical Nut Borer (Hypothenemus obscurus) (Coleoptera; Curculionidae: Scolytinae) in Hawaii
Figure 2. Gallery of Xylosandrus compactus in coffee branches. Xylosandrus compactus female adults (left) and immature stages (right).
Figure 3 in First Report of Exploitation of Coffee Beans by Black Twig Borer (Xylosandrus Compactus) and Tropical Nut Borer (Hypothenemus obscurus) (Coleoptera; Curculionidae: Scolytinae) in Hawaii
Figure 3. Damage symptoms of X. compactus in coffee branches. First leaves turn light green (A, left), then the wilted leaves and bark beyond the affected area turn brown or black (B, right).
Fig. 1 in New records of mealybugs (Hemiptera: Pseudococcidae) infesting rosettes of Conilon coffee plants in the state of Rondônia, South-Western Amazon, Brazil
Fig. 1. Ferrisia dasylirii and Planococcus minor in rosettes of Conilon coffee trees in the state of Rondônia, South-Western Amazon, Brazil. (A-B) Colonies of F. dasylirii on peduncles of coffee fruits. (C) Fruits covered by sooty mold on top of F. dasylirii honeydew. (D) Branch with damage (scattered grain) of F. dasylirii. (E) Dorsal view of an F. dasylirii adult female. (F) Imatures and adult females of P. minor. Photos (A-C) and (E-F) Rondelli VM; (D) Dias JRM.
Fig. 1 in Options for managing Antestiopsis thunbergii (Hemiptera: Pentatomidae) and the relationship of bug density to the occurrence of potato taste defect in coffee
Fig. 1. Effects of pest management tactics on the occurrence of potato taste defect in coffee. No Prun(P) & No Pest (No Pruning and No Pesticide), P & No Pest (Pruning and No Pesticide), P & Fastac (Pruning and Fastac), P & Pyr 5EW (Pruning and Pyrethrum 5EW), P & Pyr EWC (Pruning & Pyrethrum EWC), P & Agroblast (Pruning and Agroblast), and P & Imida (Pruning and Imidacloprid). Fastac sprayed in pruned plots had the lowest levels of potato taste defect whereas the control had the highest. Bars represent the standard error of means. Means followed with the same letter are not statistically different (P ≤ 0.05, ANOVA and Tukey's test).
ScienceDex guides
Understand access before you commit
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.