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Text-fig. 43. Synchrotron radiation X-ray tomographic microscopy SRXTM images of "Tricarpellate flower sp. 2"; Catefica locality, Portugal. a) Lateral view of floral structure (volume rendering) showing the apical projection of the carpels and the semiinferior organization; b) Apical view of floral structure (volume rendering) showing the triangular shape of the hypanthial rim, the tricarpellate ovary with a single apical style; note that one locule is fully developed while the other two are collapsed; note also slits of unknown nature in the corners of the triangular hypanthial rim (arrows); c) Transverse section (orthoslice xy0712) close to the floral apex showing the locule of the one fully developed carpel with ovules borne along ventral placentae; note amorphous substance (asterisk) associated with the developing ovules that fills part of the locule space; d) Longitudinal section (orthoslice xz0858) through the locule of the one fully developed carpel showing the semi-inferior organization and ovules arranged along the full length of the carpel; note amorphous substance (asterisk) associated with the developing ovules that fills part of the locule space; e) Tangential longitudinal section (orthoslice yz1019) through the one fully developed locule, showing the densely packed ovules and the amorphous substance (asterisk) with which they are associated. Specimen, Catefica 50-S174901 (a–e). Scale bars = 300 Μm (a–e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 43. Synchrotron radiation X-ray tomographic microscopy SRXTM images of "Tricarpellate flower sp. 2"; Catefica locality, Portugal. a) Lateral view of floral structure (volume rendering) showing the apical projection of the carpels and the semiinferior organization; b) Apical view of floral structure (volume rendering) showing the triangular shape of the hypanthial rim, the tricarpellate ovary with a single apical style; note that one locule is fully developed while the other two are collapsed; note also slits of unknown nature in the corners of the triangular hypanthial rim (arrows); c) Transverse section (orthoslice xy0712) close to the floral apex showing the locule of the one fully developed carpel with ovules borne along ventral placentae; note amorphous substance (asterisk) associated with the developing ovules that fills part of the locule space; d) Longitudinal section (orthoslice xz0858) through the locule of the one fully developed carpel showing the semi-inferior organization and ovules arranged along the full length of the carpel; note amorphous substance (asterisk) associated with the developing ovules that fills part of the locule space; e) Tangential longitudinal section (orthoslice yz1019) through the one fully developed locule, showing the densely packed ovules and the amorphous substance (asterisk) with which they are associated. Specimen, Catefica 50-S174901 (a–e). Scale bars = 300 Μm (a–e).
Training set of microscopy images for Park et al. Nature Methods 2023
<p>All data for key-point tracking:</p><p>keypoint-tracking-data-*.h5</p><p>Videos illustrating key-point tracking:</p><p>keypoint-tracking-videos.zip</p><p>Sample data for 3D volume tracking and videos:</p><p>volumetric-tracking-data-and-videos.zip</p>
Fig. 3.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.2. Camera positions of a single rotation when taking pictures of an object.
Fig. 4.1 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.1. Scorpion pictured in UV fluorescence. Focus stacking image.
Fig. 2.14 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 2.14. Picture of a quickly composed image of a mite at 20× magnification.
Image 9 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 9. Female Haploclastus validus at the entrance of
Image 7 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 7. Trapdoor burrow, depicting the structure and shape of the door and the entrance
Image 8 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 8. Female Haploclastus validus with an egg sac. Not collected
Image 6 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 6. Collection site at Matheran (Raighad District, Maharashtra)
Image 5 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 5. The northern Western Ghats of Maharashtra showing the known range of Haploclastus validus
Image 4 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 4. Haploclastus validus female maxillae prolateral view. Not in scale
Image 2 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 2. Haploclastus validus male palpal bulb. Not to scale
Image 1 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 1. Haploclastus validus male from Matheran (Raighad District, Maharashtra)
Natural image patches
<p>Matlab file of 70000 natural image patches of size 14x14 in gray scale.</p> <p>The data can be loaded using the following Python code (Result is a numpy array of size 196x70000).</p> <p><strong>import </strong>scipy </p> <p>data = scipy.io.loadmat('NaturalImage.mat')['rawImages']</p> <p> </p>
Zurich Natural Image Database
<p>Zip-File containing a set of 128 natural images that have been used in various eye-tracking studies. Thumbnails.jpg provides an overview. Images were captured with a 3.3 Mega pixel colour mosaic CCD camera (Nikon Coolpix 995, Tokyo, Japan) in RGB and have a resolution (WxH) of 2048 x 1536 pixels.</p><p>You are free to use these images for scientific purposes, provided at least one of the following papers is appropriately cited:</p><p>Einhäuser, W., & König, P. (2003). Does luminance‐contrast contribute to a saliency map for overt visual attention?. <i>European Journal of Neuroscience</i>, <i>17</i>(5), 1089-1097. <a href="https://doi.org/10.1046/j.1460-9568.2003.02508.x">https://doi.org/10.1046/j.1460-9568.2003.02508.x </a>[used the first 8 images in grayscale]</p><p>Einhäuser, W., Kruse, W., Hoffmann, K. P., & König, P. (2006). Differences of monkey and human overt attention under natural conditions. <i>Vision Research</i>, <i>46</i>(8-9), 1194-1209. <a href="https://doi.org/10.1016/j.visres.2005.08.032">https://doi.org/10.1016/j.visres.2005.08.032 </a>[used the first 108 images in grayscale]</p><p>Frey, HP., König, P. & Einhäuser, W. The role of first- and second-order stimulus features for human overt attention. <i>Perception & Psychophysics, 69</i>, 153–161 (2007). <a href="https://doi.org/10.3758/BF03193738">https://doi.org/10.3758/BF03193738 </a>[used the images in color]</p>
Integrative processing in artificial and biological vision predicts the perceived beauty of natural images
<p><em>Data, code, and materials for Nara & Kaiser (2023). </em></p> <p><em>Preprint: </em><a href="https://www.biorxiv.org/content/10.1101/2023.05.05.539579v1">https://www.biorxiv.org/content/10.1101/2023.05.05.539579v1</a></p> <p>Paper: <a href="https://doi.org/10.1126/sciadv.adi9294">https://doi.org/10.1126/sciadv.adi9294</a></p> <p>In this version (v2) of the repository, we:</p> <ul> <li>fixed an error in the fMRI data, where only the data from one participant, instead of all participants was uploaded previously - now all data are available,</li> <li>added brain masks (extracted by SPM) for each participant, and</li> <li>added realignment parameter text files (created by SPM) to the functional data for each participant.</li> </ul>
fUS imaging of ferret auditory cortex during passive listening of natural sounds
<p>Source data for paper: Distinct higher-order representations of natural sounds in human and ferret (BiorXiv, 2020), Landemard A, Bimbard C, Demené C, Shamma S, Norman-Haigneré S, Boubenec Y.</p> <p>This data repository contains several folders:<br>- <em>fUSData </em>contains raw data for all recording sessions. Information on data formatting can be found in README_fUSData text file.<br>- <em>Analysis</em> contains processed and denoised data. This data can be readily used to produce our figures using our publicly available scripts. This data can also be re-generated using data from <em>fUSData </em>folder using our denoising scripts. <br>- <em>AdditionalData </em>contains additional files necessary to run some of the analyses. </p> <p>Code implementing our denoising procedure and reproducing figures from the paper can be found on <a href="http://github.com/agneslandemard/naturalsounds_analysis">https://github.com/agneslandemard/naturalsounds_analysis </a></p> <p> </p>
Data from: Peacock spiders prefer image statistics of average natural scenes over those of male ornamentation
<p><span>The origins of preferences that drive the evolution of arbitrary sexual signals have been hotly debated for over 150 years. An emerging but little-tested theory, efficient coding theory, proposes that male visual courtship displays are adapted to pre-existing processing biases shaped by the statistical properties of the natural environment. Natural scenes show strong spatial correlations with average amplitudes of spatial frequencies falling with an average spectral slope of -1, and humans have been shown to prefer </span><span>random amplitude spectrum images that possess similar slopes.</span><span> It has been proposed that other animals may also prefer the statistics of their natural environment and that this preference drives the evolution of sexual signaling displays</span><span>. Here, we measure the spectral slope of the male display pattern of the Australian peacock jumping spider <em>Maratus</em> <em>spicatus</em> and test for a general preference towards that slope. We present spiders (male, female and juvenile) with random images of the male slope of -1.7 compared to a) a shallower slope of -1.0 and b) a steeper slope of -2.3. Spiders spent more time oriented towards the shallower slope than towards the male slope and spent the same amount of time oriented towards the male slope and the steeper slope. Our results indicate that spiders, like humans, prefer the average natural slope of -1, suggesting that this is likely the slope typically found in their natural habitat. Rather than exploiting a potential processing bias, it seems that males have evolved slopes that contrast with the visual background to enhance conspicuousness.</span></p>
Data from: Peacock spiders prefer image statistics of average natural scenes over those of male ornamentation
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Data from: A comparison of image statistics of peacock jumping spider colour patterns and natural scenes
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.