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945 results for “photographs”
FIGURE. Petalidium lucens, flower and leaf morphology. A. Flower in front view. B. Flower in lateral view. C. Older leaves, relatively smooth adaxially. D. Relatively young leaves with greyish indumentum. Scale bar = 5 mm. Photographs by W. Swanepoel. in Petalidium mannheimerae (Acanthaceae), a new species from Namibia and South Africa, with notes on the taxonomic identity of P. parvifolium
FIGURE. Petalidium lucens, flower and leaf morphology. A. Flower in front view. B. Flower in lateral view. C. Older leaves, relatively smooth adaxially. D. Relatively young leaves with greyish indumentum. Scale bar = 5 mm. Photographs by W. Swanepoel.
FIGURE. Growth forms in the genus Callilepis. A. The semishrub C. caerulea with solitary capitula growing at Blouberg (Photographer N. Helme). B. The perennial herb C. leptophylla with solitary capitula growing at Nylsvlei (Photographer M. Koekemoer). C. The perennial herb C. normae with corymbose synflorescences and D. the perennial rootstock of C. normae from the type locality (Photographer M. Koekemoer). in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. Growth forms in the genus Callilepis. A. The semishrub C. caerulea with solitary capitula growing at Blouberg (Photographer N. Helme). B. The perennial herb C. leptophylla with solitary capitula growing at Nylsvlei (Photographer M. Koekemoer). C. The perennial herb C. normae with corymbose synflorescences and D. the perennial rootstock of C. normae from the type locality (Photographer M. Koekemoer).
FIGURE. The colour of the florets in solitary or corymbose synflorescences of Callilepis species. A. Solitary capitulum of the shrubby C. caerulea with white ray and disc florets collected at Blouberg by Kremer-Köhne (Photographer M. Koekemoer). B. Solitary capitulum of the perennial herb C. leptophylla with white ray and purplish disc florets growing at Nylsvlei (Photographer M. Koekemoer). C. Solitary capitulum of the perennial herb C. leptophylla with white ray and disc florets growing in Pretoria (Photographer S.P. Bester). D. Corymbose synflorescence of the perennial herb C. normae with white ray and disc florets from the type locality (Photographer M. Koekemoer). in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. The colour of the florets in solitary or corymbose synflorescences of Callilepis species. A. Solitary capitulum of the shrubby C. caerulea with white ray and disc florets collected at Blouberg by Kremer-Köhne (Photographer M. Koekemoer). B. Solitary capitulum of the perennial herb C. leptophylla with white ray and purplish disc florets growing at Nylsvlei (Photographer M. Koekemoer). C. Solitary capitulum of the perennial herb C. leptophylla with white ray and disc florets growing in Pretoria (Photographer S.P. Bester). D. Corymbose synflorescence of the perennial herb C. normae with white ray and disc florets from the type locality (Photographer M. Koekemoer).
FIGURE. Aristolochia rethyae—A. Habit; B. A branch; C. Adaxial leaf surface; D. Abaxial leaf surface; E. Cymose inflorescence; F & G. Immature capsules; All photographed by Soyala Kashung; H. Isotype image of Aristolochia griffithii (GH00353571); I. Holotype image of Aristolochia tanzawana (KPM-NA1000103) provided by Kanagawa Prefectural Museum of Natural History, Japan; J. Holotype image of Aristolochia rethyae S. Kashung, Rimi Barman et P. R. Gajurel. in Aristolochia rethyae, a new species from Arunachal Pradesh, north-east India
FIGURE. Aristolochia rethyae—A. Habit; B. A branch; C. Adaxial leaf surface; D. Abaxial leaf surface; E. Cymose inflorescence; F & G. Immature capsules; All photographed by Soyala Kashung; H. Isotype image of Aristolochia griffithii (GH00353571); I. Holotype image of Aristolochia tanzawana (KPM-NA1000103) provided by Kanagawa Prefectural Museum of Natural History, Japan; J. Holotype image of Aristolochia rethyae S. Kashung, Rimi Barman et P. R. Gajurel.
FIGURE. Aristolochia rethyae—A. Flower in pre-anthesis; B. Frontal view of flower; C. Lateral view of flower; D. Longitudinal section of utricle showing the gynostemium; E. Tip of the gynostemium; F. Stamens on gynostemium; G. Cross section of gynostemium showing the stamen arrangement; H. Cross section of ovary; I. Hair on capsule. A–C photographed by Soyala Kashung; D–I photographed by Rimi Barman. in Aristolochia rethyae, a new species from Arunachal Pradesh, north-east India
FIGURE. Aristolochia rethyae—A. Flower in pre-anthesis; B. Frontal view of flower; C. Lateral view of flower; D. Longitudinal section of utricle showing the gynostemium; E. Tip of the gynostemium; F. Stamens on gynostemium; G. Cross section of gynostemium showing the stamen arrangement; H. Cross section of ovary; I. Hair on capsule. A–C photographed by Soyala Kashung; D–I photographed by Rimi Barman.
FIGURE. Chamaecrista oligosperma. A and B. Fertile branch, C and D. Inflorescences, E and F. Flower, G and H. Fruits. Photographs byA.O in Taxonomic revision of Chamaecrista sect. Absus subsect. Absus (Leguminosae, Caesalpinioideae) with adjustments in the new classification
FIGURE. Chamaecrista oligosperma. A and B. Fertile branch, C and D. Inflorescences, E and F. Flower, G and H. Fruits. Photographs byA.O. Souza.
Laxford - with detailed photographs
[www.e-rock.org](http://www.e-rock.co.uk) This version with photographs of detailed areas was designed for a virtual field exercise that you can access via the eRock website. Source: Objaverse 1.0 / Sketchfab
FIGURES 1–4. Parathalassius habitus photographs. 1–3 in Revision of the Nearctic Parathalassius Mik (Diptera: Dolichopodidae: Parathalassiinae), with a review of the world fauna
FIGURES 1–4. Parathalassius habitus photographs. 1–3. Males of Parathalassius abela sp. nov., resting on Ambrosia chamissonis (Less.) Greene (beach bur), at Surf Beach, California. 4. Female Parathalassius abela sp. nov., resting on sand at Oso Flaco Dunes, California. Photographs by Alice Abela.
FIGURES 5–10. Parathalassius habitus photographs. 5 in Revision of the Nearctic Parathalassius Mik (Diptera: Dolichopodidae: Parathalassiinae), with a review of the world fauna
FIGURES 5–10. Parathalassius habitus photographs. 5. Male of Parathalassius blasigii Mik resting on sand at Parque Natural do Litoral Norte, Portugal. 6. Female of Parathalassius blasigii Mik resting on sand at Parque Natural do Litoral Norte, Portugal. 7. Male of Parathalassius infuscatus sp. nov., resting on sand at Oso Flaco Dunes, California. 8–9. Male of Parathalassius uniformus sp. nov., resting on Ambrosia chamissonis (Less.) Greene (beach bur) at Surf Beach, California. 10. Male and female mating pair of Parathalassius uniformus sp. nov., on sand at Surf Beach, California. Photographs by Rui Andrade (Figs 5–6), and Alice Abela (Figs 7–10).
Supplementary material 2 from: Talamas EJ, Thompson J, Cutler A, Fitzsimmons Schoenberger S, Cuminale A, Jung T, Johnson NF, Valerio AA, Smith AB, Haltermann V, Alvarez E, Schwantes C, Blewer C, Bodenreider C, Salzberg A, Luo P, Meislin D, Buffington ML (2017) An online photographic catalog of primary types of Platygastroidea (Hymenoptera) in the National Museum of Natural History, Smithsonian Institution. In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 187–224 https://doi.org/10.3897/jhr.56.10774
Non-primary type specimens of Platygastroidea in USNM : Explanation note: This table contains a list of species and specimens in USNM that are determined to species, but not represented by primary types, and for which images are publicly available.
Supplementary material 1 from: Talamas EJ, Thompson J, Cutler A, Fitzsimmons Schoenberger S, Cuminale A, Jung T, Johnson NF, Valerio AA, Smith AB, Haltermann V, Alvarez E, Schwantes C, Blewer C, Bodenreider C, Salzberg A, Luo P, Meislin D, Buffington ML (2017) An online photographic catalog of primary types of Platygastroidea (Hymenoptera) in the National Museum of Natural History, Smithsonian Institution. In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 187–224 https://doi.org/10.3897/jhr.56.10774
Primary type specimens of Platygastroidea in USNM : Explanation note: This table contains a list of all primary types of Platygastroidea in USNM. This list includes paratypes and paralectotypes that were photographed to supplement images of primary types that are incomplete or damaged.
Supplementary material 1 from: Talamas EJ, Pham H-T (2017) An online photographic catalog of Platygastroidea (Hymenoptera) in the Institute of Ecology and Biological Resources (Hanoi, Vietnam), with some taxonomic notes. In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 225-239. https://doi.org/10.3897/jhr.56.10214
Platygastroidea in IEBR : Explanation note: A table lists the species of Platygastroidea, the author of the species, how many specimens are present in IEBR, including type status, and collecting unit identifiers for specimens that have been photographed.
Photographs of earthquake reconnaissance CDMX 2017-10-14 to 2017-10-17
<p>Photographs of reconnaissance trip to document damage in Mexico City resulting from the Puebla-Morelos, Mw 7.1, September 19, 2017 earthquake.</p>
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Kaisa Helminen is CEO of Fimmic Oy, a Finnish company that created the first commercial tool integrating deep learning and computer vision for pathology research. Photograph: Sebastian Mardones / Health Capital Helsinki. in Deep learning brings speed, accuracy to the life sciences.
Kaisa Helminen is CEO of Fimmic Oy, a Finnish company that created the first commercial tool integrating deep learning and computer vision for pathology research. Photograph: Sebastian Mardones / Health Capital Helsinki.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Figure S2 Extra- and intra-oral photographs of the patient at 5 years after treatment. Frontal view and smile(A,B), right profile(C), 45 profile and smile(D,E), right lateral occlusion(F), frontal occlusion(G), left lateral occlusion(H), upper arch(I), and lower arch(J).))
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Archaeological Artefact Database of Finland (AADA) Photographs
<p><strong>Archaeological Artefact Dataset Finland, photos</strong></p> <p><strong> </strong><strong>Citing photographs:</strong></p> <p><strong>Moilanen et al. 2024. (Moilanen, U., Pesonen, P., Saipio, J., Tiilikkala, J., Sanwal, M. 2024. Archaeological Artefact Database of Finland (AADA)) </strong></p> <p><strong> </strong>and</p> <p><strong> </strong><strong>Pesonen et al. 2024. (Pesonen, P., Moilanen, U., Roose, M., Saipio, J., Tiilikkala, J., Sanwal, U., Immonen, V., Vesakoski, O. & Onkamo, P. 2024. Archaeological Artefact Database of Finland (AADA)). Resubmitted manuscript to Nature Scientific Data)</strong></p> <p><strong>Photographs download</strong></p> <p>Photograph repository: <a href="../records/11256533">https://zenodo.org/records/11256533</a></p> <p><strong> </strong><strong>AADA Dataset download of latest releases and descriptions </strong></p> <p>Zenodo: https://zenodo.org/records/11279777</p> <p>This dataset includes the photos related to Archaeological Artefact Database of Finland (AADA, https://zenodo.org/records/11279777). The aim of this paper is to act as AADA dataset photo naming and access guide.</p> <p><strong> </strong>Each artefact in the AADA Supplement 1. (https://zenodo.org/records/11279777) photo has an individual identifier name (Column “PhotoID”) and the corresponding individual photo (s) are is found with the same identifier (PhotoID) from the photo files in hand. The naming of the photographs was created with the following pattern (titles of columns of the AADA Database): “Collection” + ”Main number” + ”Subnumber”, e.g., KM 12345_5.jpg. In several cases there are many photographs of the same artefact and then these are indicated with a,b,c etc., e.g., KM 12345_5b.jpg. </p> <p>The photos are arranged according to their collection id:s (column “Collection” in Supplement 1. organised in folders in the AADA Supplement 2. To merge the photos to the typological data, users need to download the photos and AADA dataset to their computer and run the Python script available here, in the “AADA Photos Hyperlink folder”. The details about the script can be found in the Readme file. Users can also create hyperlinks to the Photo ID column of Excel tables. Photo links can be created directly in the Excel tables by linking to the Photo ID column. This enables quick access to the photos from within the database.</p> <p><strong>Photo ID naming convention</strong></p> <p>The photographs in the AADA dataset are named using the following pattern based on specific column titles from the database:</p> <p><strong>Example</strong></p> <ul> <li> <p>KM 12345_5.jpg</p> </li> <ul> <li> <p>Collection: KM</p> </li> <li> <p>Main number: 12345</p> </li> <li> <p>Subnumber: 5</p> </li> </ul> </ul> <p>In cases where there are multiple photographs of the same artefact, they are distinguished by adding letters (a, b, c, etc.) after the subnumber:</p> <ul> <li> <p>KM 12345_5b.jpg</p> </li> <ul> <li> <p>Collection: KM</p> </li> <li> <p>Main number: 12345</p> </li> <li> <p>Subnumber: 5</p> </li> <li> <p>Additional identifier: b</p> </li> </ul> </ul> <p><strong>Locating photographs:</strong></p> <p><strong>Downloading and running the Python script</strong></p> <p>To utilize the photos efficiently, follow these steps:</p> <ol> <li> <p>Download the photos and typological data to your local computer.</p> </li> <li> <p>Navigate to the AADA Photos Hyperlink folder.</p> </li> <li> <p>Run the provided Python script to automate the hyperlinking process.</p> </li> </ol> <p><strong>Notes</strong></p> <p>Most of the pottery data do not have photos of them because the material is highly fragmented and unique vessels were not separated. <br> </p> <p><strong>Data restrictions</strong></p> <p>The dataset and photos are freely and openly available to anyone with the condition of mentioning this publication as a reference when using the data in publications.Dataset and photos are for noncommercial use only.</p> <p> </p>
Supplementary file 2; Photographs of various camp survey locations that illustrate various characteristics of the study site and points of rationale for the approach taken to data collection, analysis and interpretation
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Supplementary file 3; Photographs illustrating different ways in which signs of livestock, humans or wild mammals were detected and recorded as either direct sighting, tracks, spoor or other signs:
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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.