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2,809 results for “photos”
Study In Healthy Subjects To Evaluate The Photo-Irritant Potential Of Eltrombopag
ClinicalTrials.gov study NCT00688272. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: The challenges of recognising individuals with few distinguishing features: identifying red foxes Vulpes vulpes from camera-trap photos
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Photo-activatable Ub-PCNA probes reveal new structural features of the S. cerevisiae Polη/PCNA complex
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Aerial photos and colony counts of nesting colonial waterbirds in the Columbia River Basin, 2023
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Figures 75–77. Habitat photos. 75–76 in A review of the genus Beltia Jacoby (Chrysomelidae: Eumolpinae: Eumolpini), with descriptions of fourteen new species from Costa Rica, Panama, and northwestern South America
Figures 75–77. Habitat photos. 75–76) Beltia ledesmae resting on low vegetation. 77) Teak trees with heavy undergrowth at the Estación Experimental Tropical Pichilingue, western Ecuador.
Video for the high-speed camera photos from granular flow experiments
<p>These are two video for grains mass movement derived from granular flow laboratory experiments (which generated by high speed camera photos).</p> <p>Additionally, the corresponding raw photos are also presented.</p>
Dataset of Paper "Mechanistic modelling of wastewater disinfection by the photo-Fenton process at circumneutral pH"
<p>Datasets of Paper “Mechanistic modelling of wastewater disinfection by the photo-Fenton process at circumneutral pH”:</p> <ul> <li>Optical properties of the Simulated Wastewater at different iron concentrations</li> <li>Optical parameters of dispersed iron in the simulated wastewater</li> <li>Modelled and experimental data of <em>E. coli </em>solar disinfection</li> <li>Experimental data of <em>E. coli</em> photo-Fenton disinfection</li> <li>Modelled data of <em>E. coli</em> photo-Fenton disinfection</li> </ul> <p>.</p>
Data from: Comparison of photo-matching algorithms commonly used for photographic capture-recapture studies
Photographic capture–recapture is a valuable tool for obtaining demographic information on wildlife populations due to its noninvasive nature and cost-effectiveness. Recently, several computer-aided photo-matching algorithms have been developed to more efficiently match images of unique individuals in databases with thousands of images. However, the identification accuracy of these algorithms can severely bias estimates of vital rates and population size. Therefore, it is important to understand the performance and limitations of state-of-the-art photo-matching algorithms prior to implementation in capture–recapture studies involving possibly thousands of images. Here, we compared the performance of four photo-matching algorithms; Wild-ID, I3S Pattern+, APHIS, and AmphIdent using multiple amphibian databases of varying image quality. We measured the performance of each algorithm and evaluated the performance in relation to database size and the number of matching images in the database. We found that algorithm performance differed greatly by algorithm and image database, with recognition rates ranging from 100% to 22.6% when limiting the review to the 10 highest ranking images. We found that recognition rate degraded marginally with increased database size and could be improved considerably with a higher number of matching images in the database. In our study, the pixel-based algorithm of AmphIdent exhibited superior recognition rates compared to the other approaches. We recommend carefully evaluating algorithm performance prior to using it to match a complete database. By choosing a suitable matching algorithm, databases of sizes that are unfeasible to match "by eye" can be easily translated to accurate individual capture histories necessary for robust demographic estimates.
Data from: Photos provide information on age, but not kinship, of Andean bear
Using photos of captive Andean bears of known age and pedigree, and photos of wild Andean bear cubs <6 months old, we evaluated the degree to which visual information may be used to estimate bears' ages and assess their kinship. We demonstrate that the ages of Andean bear cubs ≤6 months old may be estimated from their size relative to their mothers with an average error of <0.01 ± 13.2 days (SD; n = 14), and that ages of adults ≥10 years old may be estimated from the proportion of their nose that is pink with an average error of <0.01 ± 3.5 years (n = 41). We also show that similarity among the bears' natural markings, as perceived by humans, is not associated with pedigree kinship among the bears (R2 < 0.001, N = 1,043, p = 0.499). Thus, researchers may use photos of wild Andean bears to estimate the ages of young cubs and older adults, but not to infer their kinship. Given that camera trap photos are one of the most readily available sources of information on large cryptic mammals, we suggest that similar methods be tested for use in other poorly understood species.
Specimen photos of DNA sample MHNG Hydrozoa DNA1118
<p>Specimen photos of DNA sample MHNG Hydrozoa DNA1118</p> <p>Species Syrsia striata, medusa collected in Norway</p>
air photos
<p>Geoinformation of Air photos</p>
FIGURE 6. Betadevario ramachandrani. Type locality. Photo P. K in Betadevario ramachandrani, a new danionine genus and species from the Western Ghats of India (Teleostei: Cyprinidae: Danioninae)
FIGURE 6. Betadevario ramachandrani. Type locality. Photo P. K. Pramod.
FIGURE 6. Phrynocephalus luteoguttatus, Pakistan. Photo Sherman A in A New Iranian Phrynocephalus (Reptilia: Squamata: Agamidae) from the hottest place on earth and a key to the genus Phrynocephalus in southwestern Asia and Arabia
FIGURE 6. Phrynocephalus luteoguttatus, Pakistan. Photo Sherman A. Minton, Jr.
Supplementary material 1 from: Osawa T, Ueno Y, Nishida T, Nishihiro J (2020) Do both habitat and species diversity provide cultural ecosystem services? A trial using geo-tagged photos. Nature Conservation 38: 61-77. https://doi.org/10.3897/natureconservation.38.36166
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Supplementary material 2 from: Osawa T, Ueno Y, Nishida T, Nishihiro J (2020) Do both habitat and species diversity provide cultural ecosystem services? A trial using geo-tagged photos. Nature Conservation 38: 61-77. https://doi.org/10.3897/natureconservation.38.36166
: Explanation note: All objects were not the threaten species itself.
Drone photos of Szczeliniec Wielki mesa top surface in the Piekiełko canyon area
<p>This research was funded by National Science Centre, Poland, research project no. 2020/39/D/ST10/00861.</p> <p>The compressed folder contains 225 photos taken by a Phantom 4 Pro drone, presenting the top surface of Szczeliniec Wielki in the Piekiełko canyon area.</p> <p>Photos were taken 6 October 2022 by Aleksandra Michniewicz as a part of Q-MESA project by Filip Duszyński.</p>
Longyearbyen CO2 Lab - Core Photos - DH4
<p>Includes drill core photographs (whole boxes) for the Longyearbyen CO2 Lab borehole DH4.</p> <p>Missing intervals:</p> <p>DH4 (Boxes): 0.0-65.0 m; 612.0-616.0 m <br>DH4 (HighRes): 0.0-969.72 m</p>
Habitat photo of Eremohaplomydas gobabebensis (Diptera: Mydidae)
<p>Habitat where <em>Eremohaplomydas gobabebensis</em> Boschert & Dikow, 2022 (Insecta: Diptera: Mydidae) was observed and collected. Margin of dry Kuiseb riverbed, 20 km NW on D1983 of Gobabeb, Namibia (23°24’56”S 014°54’43”E). Grass species <em>Cladoraphis spinosa</em> (Poaceae) in foreground. Photo taken on 24 Nov 2018.</p>
Terrestrial and aerial photos, GCPs and derived point clouds of a sinkhole in Northern Thuringia
<p>Aiming at comparing the results of using either terrestrial or aerial photos for structure from motion photogrammetry of a sinkhole in Northern Thuringia we took these photos in 2017, 2018 and 2019 and surveyed ground control points. Therefore, the data allows both, the comparison of the results of using terrestrial or aerial photos for the 3D reconstruction, and the mulit-year monitoring of geomorphic changes within the sinkhole.</p>
Ailurus fulgens Darjiling, West Bengal, India. Photo: Roland Seitre in Ailuridae
Ailurus fulgens Darjiling, West Bengal, India. Photo: Roland Seitre
ScienceDex guides
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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.