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130 results for “My photography”

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zenodo28/100

Ci-contre: Instantanés sur la biologie de quelques Cigales thaïlandaises 1, Cryptotympana aquila (Walker, 1850), mâle en train de s'alimenter (objectif de 100 mm, en cage). – 2, Cryptotympana mandarina Distant, 1891, femelle achevant sa métamorphose (objectif de 135 mm, in natura, 0 h 45). – 3, Meimuna durga (Distant, 1881); mâle cymbalisant, ailes non écartées (objectif de 135 mm, in natura, 14 h 15). – 4, Meimuna durga (Distant, 1881), mâle et femelle accouplés (objectif de 135 mm, in natura, 13 h 45). – 5, Pomponia linearis (Walker, 1850), mâle au repos (objectif de 135 mm, in natura, le matin, vers 11 heures). – 6 et 7, Tanna ventriroseus n. sp., mâle cymbalisant (6); mâle s'alimentant (7); (objectif de 100 mm, en cage). – 8, Terpnosia nonusaprilis n. sp., mâle cymbalisant, ailes non écartées (objectif de 135 mm, in natura). – 9, Terpnosia nonpareil s n. sp., mâle et femelle accouplés (objectif de 300 mm, in natura, 11 h 55). – 10, Meimuna tavoyana (Distant, 1888), mâle; vue des 3/4 ventraux mettant en évidence la forme et l'écartement de ses opercules (objectif de 100 mm, en cage). – 11, Gaeana cheni Chou & Yao, 1985, mâle achevant de se métamorphoser (objectif de 135 mm, in natura, la nuit, 3 h 17). – 12, Gaeana cheni Chou & Yao, 1985, couple venant de chuter à terre (objectif de 135 mm, 14 h 35). – 13, Ambragaeana ambra Chou & Yao, 1985, mâle dans la phase finale de sa métamorphose, achevant de pigmenter sa livrée (objectif de 135 mm, in natura, au milieu d'une matinée ensoleillée). (Photographies Michel Boulard). in Éthologie sonore et statut acoustique de quelques Cigales thaïlandaises, incluant la description de deux espèces nouvelles (Hemiptera : Auchenorhyncha*, Cicadoidea, Cicadidae)

Ci-contre: Instantanés sur la biologie de quelques Cigales thaïlandaises 1, Cryptotympana aquila (Walker, 1850), mâle en train de s'alimenter (objectif de 100 mm, en cage). – 2, Cryptotympana mandarina Distant, 1891, femelle achevant sa métamorphose (objectif de 135 mm, in natura, 0 h 45). – 3, Meimuna durga (Distant, 1881); mâle cymbalisant, ailes non écartées (objectif de 135 mm, in natura, 14 h 15). – 4, Meimuna durga (Distant, 1881), mâle et femelle accouplés (objectif de 135 mm, in natura, 13 h 45). – 5, Pomponia linearis (Walker, 1850), mâle au repos (objectif de 135 mm, in natura, le matin, vers 11 heures). – 6 et 7, Tanna ventriroseus n. sp., mâle cymbalisant (6); mâle s'alimentant (7); (objectif de 100 mm, en cage). – 8, Terpnosia nonusaprilis n. sp., mâle cymbalisant, ailes non écartées (objectif de 135 mm, in natura). – 9, Terpnosia nonpareil s n. sp., mâle et femelle accouplés (objectif de 300 mm, in natura, 11 h 55). – 10, Meimuna tavoyana (Distant, 1888), mâle; vue des 3/4 ventraux mettant en évidence la forme et l'écartement de ses opercules (objectif de 100 mm, en cage). – 11, Gaeana cheni Chou & Yao, 1985, mâle achevant de se métamorphoser (objectif de 135 mm, in natura, la nuit, 3 h 17). – 12, Gaeana cheni Chou & Yao, 1985, couple venant de chuter à terre (objectif de 135 mm, 14 h 35). – 13, Ambragaeana ambra Chou & Yao, 1985, mâle dans la phase finale de sa métamorphose, achevant de pigmenter sa livrée (objectif de 135 mm, in natura, au milieu d'une matinée ensoleillée). (Photographies Michel Boulard).

opencc-by-4.0Dec 2003View details →
zenodo28/100

Figure 1 in Moth floral visitors of the three rewarding Platanthera orchids revealed by interval photography with a digital camera

Figure 1. Floral visitors of Platanthera species. (A) Mabra charonialis visiting Platanthera ussuriensis; (B) Polychrysia splendida with Platanthera sachalinensis pollinia attached on the proboscis; (C) Paratalanta sp. visiting P. sachalinensis; (D) Lampropteryx sp. with Platanthera florentii pollinia attached on the eyes; (E) Scopariinae sp. visiting P. florentii and (F) Paratalanta sp. visiting P. florentii.

opencc-by-4.0Feb 2014View details →
dryad28/100

Data from: Digital photography provides a fast, reliable and non-invasive method to estimate anthocyanin pigment concentration in reproductive and vegetative plant tissues

1. Anthocyanin pigments have become a model trait for evolutionary ecology since they often provide adaptive benefits for plants. Anthocyanins have been traditionally quantified biochemically, or more recently using spectral reflectance. However, both methods require destructive sampling and can be labour intensive and challenging with small samples. Recent advances in digital photography and image processing make it the method of choice for measuring colour in the wild. Here, we use digital images as a quick, non-invasive method to estimate relative anthocyanin concentration among plants exhibiting colour variation. 2. By using a consumer-level digital camera and a free image processing toolbox, we extracted RGB values from digital images to generate colour indices. We tested petals, stems, pedicels and calyces of six species, which contain different types of anthocyanin pigments and exhibit different pigmentation patterns. Colour indices were assessed by their correlation to biochemically determined anthocyanin concentration. For comparison, we also calculated colour indices from spectral reflectance and tested the correlation with anthocyanin concentration. 3. Indices perform differently depending on the nature of the colour variation. For both digital images and spectral reflectance, the most accurate estimates of anthocyanin concentration emerge from anthocyanin content-chroma ratio (ACCR), anthocyanin-chroma basic (ACCB) and strength of green (S green) indices. Some colour indices derived from digital images and spectral reflectance strongly correlate with biochemically determined anthocyanin concentration, but the estimates from digital images performed better than spectral reflectance in terms of 2 and normalized root-mean-square error. This was particularly noticeable in a species with striped petals, but in the case of striped calyces both methods showed a comparable relationship with anthocyanin concentration. 4. Using digital images brings new opportunities to accurately quantify the anthocyanin concentration in both floral and vegetative tissues. This method is efficient, completely non-invasive, applicable to both uniform and patterned colour, and works with samples of any size.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Schlieren photography on freely flying hawkmoth

The aerodynamic force on flying insects result from the vortical flow structures that vary both spatially and temporally throughout flight. Due to these complexities and the inherent difficulties in studying flying insects in a natural setting, a complete picture of the vortical flow has been difficult to obtain experimentally. In this paper, Schlieren, a widely used technique for highspeed flow visualization, was adapted to capture the vortex structures around freely flying hawkmoth (Manduca). Flow features such as leading-edge vortex, trailing-edge vortex as well as the full vortex system in the wake was visualized directly. Quantification of the flow from the Schlieren images was then obtained by applying a physics-based optical flow method, extending the potential applications of the method to further studies of flying insects.

opencc-zeroDec 2017View details →
zenodo28/100

Atilax paludinosus Photo: J & B Photography/ Photo Access in Herpestidae

Atilax paludinosus Photo: J & B Photography/ Photo Access

opennotspecifiedJan 2009View details →
zenodo28/100

Fig. 4 in Photography in the ultraviolet and visible violet spectra: Unravelling methods and applications in palaeontology

Fig. 4. Bivalves photographed under visible, UV, and VV light. A. Arcoid bivalve Glycymeris nummaria (Linnaeus, 1758) from the Lower Pleistocene Arda River section, Italy. MPUM 12162 (ACG261-1), right valve in external (A1–A3) and internal (A4–A6) view, visible light (A1, A4), 365 nm (A2, A5) and 440 nm (A3, A6). B. Hippuritid bivalve Vaccinites sp. from the Upper Cretaceous Samhan Formation, Oman. MPUM 12167 (OMAN-1), conical valve, visible light (B1), 365 nm (B2) and 440 nm (B3).

opencc-by-4.0Aug 2022View details →
zenodo28/100

Microhabitat selection of meadow and steppe vipers enlightened by digital photography and image processing to describe grassland vegetation structure

<p>Dataset</p> <ol> <li> <p>Understanding animals&rsquo; selection of microhabitats is important in both ecology and biodiversity conservation. However, there is no generally accepted methodology for the characterisation of microhabitats, especially for vegetation structure.</p> </li> <li> <p>We studied microhabitat selection of <em>Vipera</em> snakes by comparing grassland vegetation structure between viper occurrence points and random points in three grassland ecosystems: <em>V. graeca</em> in mountain meadows of Albania, <em>V. renardi</em> in loess steppes of Ukraine, and <em>V. ursinii</em> in sand grasslands in Hungary. We quantified vegetation structure in an objective manner by automated processing of images taken of the vegetation against a vegetation profile board under standardised conditions. We developed an R script for automatic calculation of four vegetation structure variables derived from raster data obtained in the images: leaf area (LA), height of closed vegetation (HCV), maximum height of vegetation (MHC), and foliage height diversity (FHD).</p> </li> <li> <p>Generalized linear mixed models revealed that snake occurrence was positively related to HCV in <em>V. graeca</em>, to LA in <em>V. renardi</em> and to LA and MHC in <em>V. ursinii</em>, and negatively to to HCV in <em>V. ursinii</em>.</p> </li> <li> <p>Our results demonstrate that vegetation structure variables derived from automated image processing significantly influence viper microhabitat selection. Our method minimises the risk of subjectivity in measuring vegetation structure, allows upscaling if neighbouring pixels are combined, and is suitable for comparison of or extrapolation across different grasslands, vegetation types or ecosystems.</p> </li> </ol>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov28/100

Remote Food Photography Method in Infants

ClinicalTrials.gov study NCT01762631. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Identification of Hypospadias Parameters Using Digital Photography and Artificial Intelligence

ClinicalTrials.gov study NCT05569863. IPD Sharing: NO. Countries: 0. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Digital Photography to Evaluate Dry Eye

ClinicalTrials.gov study NCT00073099. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Positive Exposure: A Photography and Video Intervention for Individuals With Craniofacial Differences

ClinicalTrials.gov study NCT00340964. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Schlieren photography on freely flying hawkmoth

Open the record for dataset details and reuse information.

publicApr 2018View details →
dryad28/100

Data from: Digital photography provides a fast, reliable and non-invasive method to estimate anthocyanin pigment concentration in reproductive and vegetative plant tissues

Open the record for dataset details and reuse information.

publicDec 2018View details →
nasa28/100

SAFARI 2000 ER-2 Color-IR Aerial Photography, Dry Season 2000

Aerial photography from the NASA ER-2 high altitude aircraft was collected to provide detailed and spatially extensive documentation over parts of the SAFARI study area. The ER-2 aerial photography consists of 3,046 color-infrared (IR) transparencies collected during the SAFARI 2000 Dry Season Aircraft Campaign in August and September of 2000. ORNL DAAC has archived scanned subsets of the ER-2 aerial photography.The original color-IR aerial photography the SAFARI 2000 Dry Season Aircraft Campaign is located at NASA Ames Research Center (ARC) Aircraft Data and Sensor Facilities. Copies can be ordered from the U.S. Geological Survey's EROS Data Center (EDC) in Sioux Falls, South Dakota, USA. In addition, 515 image frames have been scanned from copies of the original level-0 ER-2 aerial photography by the University of the Witwatersrand (Wits), in Pretoria, South Africa. ORNL DAAC has archived subsets of the available imagery from ARC and Wits. Information about the imagery subsets that are available from ORNL DAAC, as well as information about the original color-IR aerial photography at ARC and scanned imagery at Wits can be found at: ftp://daac.ornl.gov/data/safari2k/atmospheric/remote_sensing/er2_aerial_photos/comp/er2_aerial_photos_readme.pdf.

restrictednotspecifiedApr 2025View details →
nasa28/100

SAFARI 2000 PAI Estimates from Hemispherical Photography, Kalahari Transect

This data set was collected during February-March 2000 wet season and September 2000 dry season field campaigns of SAFARI 2000. Mongu in Zambia and Pandematenga (aka Kasane) and Tshane in Botswana were visited during the wet season campaign. Dry season data are for Mongu only. Hemispherical photographs, from which Plant Area Index (PAI) estimates are derived, were obtained at the field sites to characterize vegetation structural changes along the Kalahari Transect. At each site, photographs were collected using a Nikon Coolpix 950 digital camera with a fish-eye lens mounted on a tripod, every 25 m along three transects, each 750 m in length. The methodology of van Gardingen et al. (1999) was applied to process the data. The photographs are classified into sky and vegetation (trunk, green and senescent leaves, and branches) using an unsupervised classification scheme. Derivation of gap fraction estimates was carried out by dividing the azimuth sector for each view zenith into 72 equal area segments with the gap fraction estimated for each segment. The average azimuth segmented gap fraction was used to characterize the gap fraction at the current view zenith angle. This approach attempts to reduce the underestimation introduced by assuming a random distribution in clumped canopies. PAI estimates were derived from the gap fraction data using Miller's (1967) formula for average foliage density.Data are in comma-delimited ASCII files, one for each transect at each site, containing a 5-line header, then a blank line, column names, and the two-column data (sample number and PAI).

restrictednotspecifiedApr 2025View details →
zenodo24/100

Stereoscopic photography viewer

Such viewers were a type of optical device which allowed viewing stereoscopic photography, which produces the impression of three-dimensionality. It was also popular due to its thematic diversity: from architectural motifs and reproductions of works of art, through landscapes and tourist attractions, to frequently arranged genre scenes or social photographs with a humorous and erotic twist. Karol Bayer – a photographer from Warsaw – was one of the first to engage in stereoscopy in Poland. His first contact with it took place at the London World Show in 1851, and fascinated him with its possibilities. His first stereoscopic views of Warsaw are from 1856. In Kraków, in the 1860s, stereoscopic photography was performed by Walery Maliszewski – the creator of entire sets of photographs dealing with the subject of architecture – and the outstanding Walery Rzewuski. 1895–1910 The National Museum in Kraków Inventory number: MNK XX-s-1 https://muzea.malopolska.pl/en/objects-list/1891 Source: Objaverse 1.0 / Sketchfab

opencc-zeroDec 2020View details →
ClinicalTrials.gov24/100

Effect of Using Image Standardization Device for Dental Photography Standerdizatuon in Comparison to Individualized Photography In Vivo Study

ClinicalTrials.gov study NCT04991363. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Self Digital Photography for Assessing Elbow Range of Motion

ClinicalTrials.gov study NCT02985788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Auxiliary Anesthesia Technique for Extracting Advanced Hemodynamic Parameters Based on Peripheral Arterial Waveform Photography

ClinicalTrials.gov study NCT05961358. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Digital Photography to Estimate Anthropometric Measurements in Children

ClinicalTrials.gov study NCT05034913. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record