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9,302 results for “DETECT”
Fig. 1 in A new R package and web application for detecting bilateral asymmetry in parasitic infections
Fig. 1. Screenshot of the web application. The panel on the left contains the controls for the application, including file upload, selection of test, choice of multiplicity correction and significance threshold. Results are displayed on the four tabbed pages of the main panel: summary, individual hosts, histogram and volcano plot.
Figure 4 in First Field Collection of the Rough Sweetpotato Weevil, Blosyrus asellus (Olivier) (Coleoptera: Curculionidae), on Hawaii Island, with Notes on Detection Methods
Figure 4. Average (+ SEM) catch of adult rough sweetpotato weevils/trap/day in green light traps with and without added attractant(s). Treatments having the same letter above the error bar are not significantly different at the α = 0.05 level. Only results of treatments which included green light (Treatments 5–9) are presented here because there was no catch in this trial in traps of any of the treatments where the green light was off (Treatments 1–4).
Figure 2 in First Field Collection of the Rough Sweetpotato Weevil, Blosyrus asellus (Olivier) (Coleoptera: Curculionidae), on Hawaii Island, with Notes on Detection Methods
Figure 2. Locations on Hawaii island (marked with filled circles) where adult rough sweetpotato weevils have been recovered (map developed using ArcGIS [ESRI 2012]).
Figure 3 in First Field Collection of the Rough Sweetpotato Weevil, Blosyrus asellus (Olivier) (Coleoptera: Curculionidae), on Hawaii Island, with Notes on Detection Methods
Figure 3. Trap used for rough sweetpotato weevil detection ('Treatment 9'). (A) Flash picture taken at night to show the sweetpotato root section held underneath the green light and the water container inside the trap holding a sweetpotato leaf. (B) Picture taken without flash to show the appearance of the trap at night.
CLDF dataset derived from Hruschka et al.'s "Detecting regular sound changes in linguistics as events of concerted evolution" from 2015
<p>Cite the source of the dataset as:</p> <blockquote> <p>Hruschka, D. J., Branford, S., Smith, E. D., Wilkins, J., Meade, A., Pagel, M., & Bhattacharya, T. (2015). Detecting regular sound changes in linguistics as events of concerted evolution. Current Biology, 25(1), 1-9.</p> </blockquote>
Figure 2 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 2. Mean number of eggs collected monthly using ovitraps from Honolulu International Airport from May 2010 to June 2012. Monthly values are the averages of collections for all weeks in the month, by collection site.
Figure 1 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 1. Map of the Hawaiian Islands. Markers of "X" represent each of this study's Aedes aegypti collection sites on Oahu and Hawaii islands.
Figure 4 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 4. Mean number of eggs collected per week using ovitraps and mean rainfall per week at Honolulu International Airport from May 2010 to June 2012. * shows the weeks (87 and 110) in which A. aegypti was collected.
Figure 5. Neighbor-joining tree for A in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 5. Neighbor-joining tree for A. aegypti based on COI (450bp) and ND4 (322bp) sequences. Labels are Genbank accession numbers combined with country names.
Figure 3 in Mosquito Surveillance Program Using Ovitraps Detected Aedes aegypti at the Honolulu International Airport in 2012
Figure 3. Frequency distribution of egg collections for each ovitrap site at Honolulu International Airport
Figure 2 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 2. The three trap types tested for relative effectiveness of detection/monitoring of sweetpotato vine borer field populations: A. Delta trap; B. Wing trap; and C. Heliothis trap. Red arrows point to the locations of the binary sex pheromone in each of the trap types. Blue arrow points to the netted cylinder in the Heliothis trap from which attracted moths were recovered.
Figure 4 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 4. Frass pushed out of a sweetpotato root by a sweetpotato vine borer caterpillar feeding inside the root.
Figure 8 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 8. Posterior ventral abdominal surfaces of sweetpotato vine borer adults showing the absence (female) or presence (male) of a pair of clasper like structures on the last abdominal segment. A. adult female; B. adult male.
Figure 10 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 10. Average weekly catch of adult male sweetpotato vine borer moths in delta traps baited with binary sex pheromone lure consisting of a 2.5 mg: 5.0 mg ratio of Type 1: Type 2 lure components and positioned at different heights above sweetpotato foliage. See text for further description of the Type 1 and Type 2 components. Bars followed by the same letters are not significantly different at the α = 0.05 level.
Figure 9. Average total 3 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 9. Average total 3-week catch of male sweetpotato vine borer adult moths in three different types of traps baited with binary sex pheromone lure consisting of a 2.0 mg: 4.0 mg ratio of Type 1: Type 2 lure components. See text for further description of the Type 1 and Type 2 components. Columns with the same letters above are not significantly different at the α = 0.05 level.
Figure 11 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 11. Average weekly catch of adult male sweetpotato vine borer moths in delta traps baited with binary sex pheromone lure consisting of a 2.0 mg: 4.0 mg ratio of Type 1: Type 2 lure components and positioned at different locations in or around a sweetpotato field. Columns with the same letters above are not significantly different at the α = 0.05 level.
Figure 6 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 6. Posterior ventral surface of sweetpotato vine borer pupae showing the presence (A. female) or absence (B. male) of a prominent notch (indicated by red arrow) on the 9th segment.
Figure 7 in Recovery of Sweetpotato Vine Borer, Omphisa anastomosalis (Lepidoptera: Crambidae), in Sweetpotato Fields in Hawaii Through Field Collections and Detection Trapping
Figure 7. Eggs laid by female sweetpotato vine borer on a sweetpotato root within a screen-walled cubical.
MARitime SIMulated (MARSIM) Dataset for GPS Spoofing Detection
<p>MARitime SIMulated (MARSIM) is a comprehensive and labeled dataset created to test and evaluate NMEA-based anomaly detection approaches related to GNSS/GPS spoofing attacks in the maritime context, e.g. <a href="https://github.com/fkie-cad/mana">MANA</a>. It consists of multiple scenarios (benign and attacked) with a duration of 120 s, provided as network traffic recordings, i.e., in packet capture (pcap) format. Each recording contains the NMEA 0183 sentences transmitted within the network of a single vessel heading north from a fixed point with constant velocity. The recordings are reduced to two PNT transmitting devices, namely the pair of GPS receivers, which are placed at a fixed distance of 4 m from each other.</p> <p>Working with the provided packet captures can be facilitated by using our <a href="https://github.com/fkie-cad/maritime-dissector">Wireshark dissector</a>.</p> <p>For more information, please see Spravil J, Hemminghaus C, von Rechenberg M, Padilla E, Bauer J. Detecting Maritime GPS Spoofing Attacks Based on NMEA Sentence Integrity Monitoring. Journal of Marine Science and Engineering. 2023; 11(5):928. DOI: <a href="https://doi.org/10.3390/jmse11050928">10.3390/jmse11050928</a></p>
Supplementary Data and Codes for "Exclusive seismoacoustic detection and characterisation of an unseen and unheard fireball in the North Atlantic" by Stephen P. Hicks and Sandro B. Matos, et al.
<p>Supplementary Dataset containing windowed seismic traces for the 29 June 2022 fireball event near the Azores in the North Atlantic, as studied in the manuscript entitled, "Exclusive seismoacoustic detection and characterisation of an unseen and unheard fireball in the North Atlantic" by Stephen P. Hicks and Sandro B. Matos, et al.</p> <p>A Python Jupyter Notebook is also provided that reproduces the main figures of the paper.</p>
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.