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130 results for “My photography”
UAS spherical photography for the vertical characterisation of canopy structural traits
<p>Data and scripts for New Phytologist manuscript:</p> <p><strong>UAS spherical photography for the vertical characterisation of canopy structural traits </strong><br> Vicent Agustí Ribas Costa, Maxime Durand, T Matthew Robson, Albert Porcar-Castell, Ilkka Korpela, Jon Atherton</p> <p><strong>The current version is 2.0.0; </strong>please do <strong><em>not</em></strong> use the data/code from the peer review version 1<strong>. </strong> In the Early View version 2.0.0 we have<strong> </strong>fixed minor bugs in data (incorrectly flipped images), and updated our code. We also reduced the data archive size to approx 5 GB. </p> <p>Note that individual (i.e. pre-stitched) UAS photos from vertical profiles are not included due to the size (>50 GB). If you want all the individual files then contact Jon. Data was compiled by Vicent, but feel free to contact Jon in case of any issues.</p>
FIG. 1. — Photographies d in Étude d'un assemblage original de microvertébrés du Pléistocène moyen du nord-est de l'Algérie (Ben Kérat, Oued Zenati) et description de deux nouveaux muridés
FIG. 1. — Photographies d'une partie des blocs de brèche de Ben Kérat et des étiquettes associées.
Individus mâles de Meimuna duffelsi, espèce récemment découverte. . Photographies de l'auteur in Une Cigale sabulicole et buveuse d'eau: un « scoop » cicadologique!
Individus mâles de Meimuna duffelsi, espèce récemment découverte. . Photographies de l'auteur
A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography
<p>The data for "A Self-Adaptive Deep Learning Method for Automated Eye Laterality Detection Based on Color Fundus Photography", including original image data and labels, DL model files, training logs and validation results.</p> <p><strong>Content</strong>:</p> <p>- <strong>Ex1_Preprocessing</strong> # the first experiment: preprocessing methods comparison</p> <p> - <strong>history</strong> # validation results of different metrics of models </p> <p> - <strong>log</strong> # training record of models. Read by TensorBoard</p> <p> - <strong>model</strong> # model file. Read by Keras</p> <p>- <strong>Ex2_Self-adaptive model</strong> # the second experiment: development of eye laterality detection model</p> <p> - <strong>data</strong> # serialized image data, including data and ground-truth label. Read by Python Pickle package.</p> <p> - <strong>Xy.h5</strong> # training data</p> <p> - <strong>test_Xy.h5</strong> # testing data</p> <p> - <strong>history</strong> # validation results of different metrics of models </p> <p> - <strong>log</strong> # training record of models. Read by TensorBoard</p> <p> - <strong>model</strong> # model file. Read by Keras</p> <p> - <strong>with_adaptive</strong> # with self-adaptive strategy</p> <p> - <strong>without_adaptive</strong> # without self-adaptive strategy</p> <p>For code review, please see: <a href="https://github.com/keepgallop/Eye-laterality-detection">https://github.com/keepgallop/Eye-laterality-detection</a></p> <p>For more information, please contact liuchi_email@foxmail.com</p> <p> </p> <p> </p> <p> </p>
Atlas of Living Australia: Barry Armstead Photography, Atlas of Living Australia
Barry Armstead is an Australian photographer with a passion for nature and wildlife, landscapes and deep-space astrophotography. He conducts regular photo-shoots in Australia__s wilderness, especially around his home city of Canberra.
Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography
<p>Supplementary material to: Temporal variability of explosive activity at Tajogaite Volcano, Cumbre Vieja (Canary Islands), 2021 eruption from ground-based infrared photography and videography (2023). </p> <p>Files are short infrared videos of explosive activity in the near-vent region of Tajogaite Volcano. Files are named by date of acquisition. </p>
Utilizing 360° photography to assess forest recovery seven years after hurricane impact
Open the record for dataset details and reuse information.
FIGURE 4 in The Fixator-A simple method for mounting of arthropod specimens and photography of complex structures in liquid
FIGURE 4. Lateral fixation of a male spider wasp for genitalia dissection (Hymenoptera: Pompilidae: Agenioides usurarius). Use a pair of sharp Dumont 5 forceps to apply pressure and draw out the genitalia capsule and subgenital plate. A. Overview of the specimen mounted in the Fixator. The specimen is placed on a serrated plastic plate on plastazote; B. Genitalia in the natural position; C. Partly removed genitalia capsule; D. Fully removed genitalia capsule (a) and subgenital plate (b); black arrows indicate the genitalia. Scale bars 1mm.
FIGURE 5 in The Fixator-A simple method for mounting of arthropod specimens and photography of complex structures in liquid
FIGURE 5. Fixation of a male spider (Chaetopelma sp.: Theraphosidae) to capture images of diagnostic structures situated on its appendages. A. Overview of fixed specimen in ventral view: leg-I is fixed, interfering appendages are positioned out of the way; scale bar 10 mm. B-D: Close-up images of the tibial apophysis showing two branches: (a) a long and curved retrolateral branch, wider in its distal portion and with an apical row of 15 spines, and (b) a short prolateral branch with an adjacent spine at its base; B. prolateral view; C. ventral view; D. retrolateral view. Scale bar 2,5 mm.
FIGURE 2 in The Fixator-A simple method for mounting of arthropod specimens and photography of complex structures in liquid
FIGURE 2. Overview of the fixing gadget. A. Top view; B. Angled view; C. Lateral view. Arrows indicate the thread-fixing plastic card; scale bar 1cm.
FIGURE 1 in The Fixator-A simple method for mounting of arthropod specimens and photography of complex structures in liquid
FIGURE 1. Construction of the Fixator. A. Cut pipette tips as thread holders of similar size. B. Pull the nylon thread through one thread holder. C. Tie a knot in one end of the nylon thread. D. Put a drop of super glue on the thread so that it runs into the tip, pull the thread at the free end. E. Glue both tips onto surface of Petri dish. F. Pull the nylon thread through the other thread holder. The gadget is now ready to use.
Data from: Two new species of Limbodessus diving beetles from New Guinea - short verbal descriptions flanked by online content (digital photography, μCT scans, drawings and DNA sequence data)
Background: To date only one species of Limbodessus diving beetles has been reported from the Island of New Guinea, L. compactus (Clark, 1862), which is widerspread in the Australian region. New information: We describe two new species of microendemic New Guinea Limbodessus and use a compact descriptive format flanked by enriched online content in wiki powered species pages. Limbodessus baliem sp.n. is described from ca. 1,600 m altitude in the Baliem Valley of Papua and Limbodessus alexanderi sp.n. from >3,000 m altitude north of Sugapa, Papua. Based on our analysis, we also transfer three species from other genera to Limbodessus Guignot, 1939, with the following changes: Limbodessus deflectus (Ordish, 1966), new combination; Limbodessus leveri (J. Balfour-Browne, 1944), new combination; and Limbodessus plicatus (Sharp, 1882), new combination.
FIGURES 1–5. Ecological photography. 1 in Revision of Taiwanaenidea Kimoto, 1984 (Coleoptera: Chrysomelidae: Galerucinae)
FIGURES 1–5. Ecological photography. 1. Collecting adults of Taiwanaenidea by sweeping tender leaves of Alnus formosana with extendable insect net; 2. A male of T. cheni sp. nov., attempting to mate with female; 3. A male of T. collaris; 4. A male of T. strigosa attempting to mate with female; 5. A female of T. strigosa coming out from tender leaves of Fagus hayatae.
FIGURES 1–8. Ecological photography. 1 in The genus Paraplotes Laboissière, 1933 in Taiwan, a speciose group with brachelytrous females (Coleoptera: Chrysomelidae: Galerucinae)
FIGURES 1–8. Ecological photography. 1. Habitat for Paraplotes tatakaensis, with host plants growing along road; 2. Host plant—Lecanthus peduncularis; 3. An adult Paraplotes taiwana feeding on the leaves of Pilea rotundinucula; 4. A male of Paraplotes tahsiangi attempting to mate with female; 5. Eggs were deposited between roots of host plants; 6. Close up of single egg; 7. Larvae of Paraplotes jengi feeding on young shoot; 8. Mature larvae of Paraplotes jengi.
FIGURE 1. Field photography. 1A in Revision of the genus Shairella Chûjô, 1962 (Coleoptera: Chrysomelidae: Galerucinae) from Taiwan, with descriptions of five new species
FIGURE 1. Field photography. 1A. Male of Shairella guoi sp. nov. feeding on Clinopodium laxiflorum var. taiwanianum; 1B. Flowers of Clinopodium laxiflorum var. taiwanianum; 1C. Strobilanthes flexicaulis; 1D. Hemiboea bicornuta; 1E. Larva of S. guoi sp. nov. feeding on leaves of Strobilanthes flexicaulis; 1F. Pupa of S. guoi sp. nov.; 1G. Adult of Medythia suturalis; 1H. Adult of Japonitata quadricostata.
M-Stock: AI-Based Photography Assessment System using Convolutional Neural Networks
<p>M-Stock (Mae Fah Luang University Photo Stock), an AI-driven automated photo evaluation platform designed to support student learning in photography by providing real-time feedback on both technical and artistic elements of their work. Using Convolutional Neural Networks (CNNs)</p> <p>Author: Assistant Professor Surapol Vorapatratorn, Ph.D<br>Organization: Center of Excellence in Artificial Intelligence and Emerging Technologies <br>School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai, Thailand</p> <p><br>To start web service<br>1.Run runStreamlit.bat</p> <p>File description<br>Home.py => Home page<br>web.config => Streamlit's Path<br>Train_800.ipynb => Training model in Jupyter notebook file</p> <p>Directory description<br>image => Website image<br>model => model location<br>pages => each python web page <br>temp_dir => user upload file location<br>train_dir => training set</p>
Dataset_3 for "An integrated imaging sensor for aberration-corrected 3D photography"
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Dataset_2 for "An integrated imaging sensor for aberration-corrected 3D photography"
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Dataset_1 for "An integrated imaging sensor for aberration-corrected 3D photography"
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FIGURE 1. A–G. Amyema nickrentii. A in Discovery through photography: Amyema nickrentii, a new species of Loranthaceae from Aurora Province, Philippines
FIGURE 1. A–G. Amyema nickrentii. A. Habit of plant with fruits and young flowers on Teijsmanniodendron bogoriense host plant. B. Young inflorescence. C. Infructescence. D. Twig. E. Young inflorescence showing flowers in triads. F. Epicortical runner with infructescence and young inflorescence. G. Senescent flower. A–D, G–F: Barcelona 3853 with Pelser. E: Barcelona 3852 with Pelser. Photographs taken by Pelser & Barcelona. See www.phytoimages.siu.edu for additional photos and photos of the host plants.
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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.