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27 results for “Image Rendering”
Text-fig. 4. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse (a) and longitudinal (b) sections of flower showing the ovary wall (ow) and numerous ovules (ov) borne on the mushroom-shaped central globose placenta (pl, blue); placenta shown as a voltex rendering added to orthoslices; note the large openings in the floral tissue (asterisks) interpreted as schizogenous secretory cavities. c, d: Longitudinal (c) and transverse (d) sections of flower (c, volume rendering cut between orthoslice yz0970-1005; d, volume rendering cut between orthoslice xy0780-0820) showing semiinferior ovary (ow, ovary wall) with sepals inserted at the rim of the hypanthium, central column (cc) with mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 4. SRXTM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Transverse (a) and longitudinal (b) sections of flower showing the ovary wall (ow) and numerous ovules (ov) borne on the mushroom-shaped central globose placenta (pl, blue); placenta shown as a voltex rendering added to orthoslices; note the large openings in the floral tissue (asterisks) interpreted as schizogenous secretory cavities. c, d: Longitudinal (c) and transverse (d) sections of flower (c, volume rendering cut between orthoslice yz0970-1005; d, volume rendering cut between orthoslice xy0780-0820) showing semiinferior ovary (ow, ovary wall) with sepals inserted at the rim of the hypanthium, central column (cc) with mushroom-shaped globose placenta (pl) bearing numerous ovules (ov). Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c, d, holotype). Scale bars = 600 µm (a–d).
Text-fig. 36. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–e) images of "Paisia-like follicle"; Catefica locality, Portugal. a, b) Volume rendering of follicle in lateral (a) and ventral (b) views showing the decurrent stigmatic region that extends from the follicle base to the apex but lacks a distinct papillate zone; c) Longitudinal section (volume rendering cut at orthoslice yz0341) of follicle showing under-developed ovules towards the base and numerous well-developed ovules/seeds in the upper part suggesting that the follicle is probably mature; d) Dorsal view of follicle apex showing the cleft in the presumed stigmatic apical region; e) Transverse section (orthoslice xy1294) of follicle with one dorsal and two ventral bundles and two placentae bulging into the locule, one on either side of the ventral suture; note the strongly compressed outer epidermis and the homogenized cells of the mesocarp. Specimen, Catefica 49-S174915 (a–e). Scale bars = 300 Μm (a–d), 100 Μm (e). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 36. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–e) images of "Paisia-like follicle"; Catefica locality, Portugal. a, b) Volume rendering of follicle in lateral (a) and ventral (b) views showing the decurrent stigmatic region that extends from the follicle base to the apex but lacks a distinct papillate zone; c) Longitudinal section (volume rendering cut at orthoslice yz0341) of follicle showing under-developed ovules towards the base and numerous well-developed ovules/seeds in the upper part suggesting that the follicle is probably mature; d) Dorsal view of follicle apex showing the cleft in the presumed stigmatic apical region; e) Transverse section (orthoslice xy1294) of follicle with one dorsal and two ventral bundles and two placentae bulging into the locule, one on either side of the ventral suture; note the strongly compressed outer epidermis and the homogenized cells of the mesocarp. Specimen, Catefica 49-S174915 (a–e). Scale bars = 300 Μm (a–d), 100 Μm (e).
Text-fig. 34. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–h) images of "Paisia-like follicle"; Catefica locality, Portugal. a–d) Volume rendering of follicles in lateral (a, c) and ventral (b, d) views showing the decurrent stigmatic region that extends from base of the follicle to the apex; note papillate zone forming a probable stigma along the full length of the ventral suture; e) Longitudinal section (volume rendering cut at orthoslice yz0326) near the base of the follicle showing two ovules with a striate-reticulate surface (asterisks); note transverse fibers lining the inner follicle wall and large cells of the mesocarp; f) Transverse section (volume rendering cut at orthoslice xy2475) of follicle showing two rows of ovules borne on placentae on either side of the ventral suture (asterisks); note also the pronounced and densely-spaced papillae around the ventral suture; g) Transverse section (orthoslice xy1988) of follicle showing two ventral vascular bundles and one dorsal bundle (arrows) and ovules/seeds borne on two placentae, one on either side of the ventral suture; note the remains of the small thin-walled cells of the outer epidermis that cover the thicker-walled cells of the mesocarp; h) Transverse section (orthoslice xy2860) of follicle showing two ventral bundles and one dorsal bundle (arrows) and ovules/seeds in two rows on the placentae, one on either side of the ventral suture; note the remains of small epidermal cells and the large rounded cells of the mesocarp with thicker walls. Specimens, Catefica 49-S174916 (a, b), Catefica 49-S174917 (c–f, h), Catefica 50-S171525 (g). Scale bars = 300 Μm (a–d), 100 Μm (e–h). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 34. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–h) images of "Paisia-like follicle"; Catefica locality, Portugal. a–d) Volume rendering of follicles in lateral (a, c) and ventral (b, d) views showing the decurrent stigmatic region that extends from base of the follicle to the apex; note papillate zone forming a probable stigma along the full length of the ventral suture; e) Longitudinal section (volume rendering cut at orthoslice yz0326) near the base of the follicle showing two ovules with a striate-reticulate surface (asterisks); note transverse fibers lining the inner follicle wall and large cells of the mesocarp; f) Transverse section (volume rendering cut at orthoslice xy2475) of follicle showing two rows of ovules borne on placentae on either side of the ventral suture (asterisks); note also the pronounced and densely-spaced papillae around the ventral suture; g) Transverse section (orthoslice xy1988) of follicle showing two ventral vascular bundles and one dorsal bundle (arrows) and ovules/seeds borne on two placentae, one on either side of the ventral suture; note the remains of the small thin-walled cells of the outer epidermis that cover the thicker-walled cells of the mesocarp; h) Transverse section (orthoslice xy2860) of follicle showing two ventral bundles and one dorsal bundle (arrows) and ovules/seeds in two rows on the placentae, one on either side of the ventral suture; note the remains of small epidermal cells and the large rounded cells of the mesocarp with thicker walls. Specimens, Catefica 49-S174916 (a, b), Catefica 49-S174917 (c–f, h), Catefica 50-S171525 (g). Scale bars = 300 Μm (a–d), 100 Μm (e–h).
Text-fig. 4. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Canrightia foveolata sp. nov.; Catefica locality, Portugal. a–d) Volume renderings of abraded seeds in ventral (a), lateral (b, d) and apical (c) views showing the slightly protruding chalaza (arrows) and dense longitudinal grooves with shallow pits in the surface of the endotesta; e) Transverse section of seed (orthoslice xy0665) showing the irregular grooved surface of the endotesta (oi-en) and the tegmen comprised of two layers of thick-walled cells that surround the cells of the prominent endothelium (asterisk); f) Longitudinal section (orthoslice xz1195) through seed showing the thin-walled endothelium cells (asterisk) surrounded by the thicker cells of the outer tegmen and endotesta; g) Longitudinal section (orthoslice yz0727) through seed showing outlines of angular crystals evenly distributed in cells of the endotesta (oi-en); note the outer epidermis of the tegmen (ii-o) composed of thick-walled cells; h) Longitudinal section (orthoslice xz0940) of seed showing details of the chalazal region with course of the vascular bundle (vb), cells of the prominent endothelium (asterisk), crystalliferous endotesta of the outer integument (oi-en) and the distinct thick walled cells of the outer cells of the tegmen (ii-o); i) Longitudinal and tangential section (orthoslice yz0542) through the endotesta (oi-en) showing the outlines of densely spaced crystals. Specimens, Catefica 242-S175178 (a–c, e–h), Catefica 49-S175179 (d, i). Scale bars = 300 Μm (a–d), 100 Μm (e, f, h, i), 50 Μm (g). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 4. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Canrightia foveolata sp. nov.; Catefica locality, Portugal. a–d) Volume renderings of abraded seeds in ventral (a), lateral (b, d) and apical (c) views showing the slightly protruding chalaza (arrows) and dense longitudinal grooves with shallow pits in the surface of the endotesta; e) Transverse section of seed (orthoslice xy0665) showing the irregular grooved surface of the endotesta (oi-en) and the tegmen comprised of two layers of thick-walled cells that surround the cells of the prominent endothelium (asterisk); f) Longitudinal section (orthoslice xz1195) through seed showing the thin-walled endothelium cells (asterisk) surrounded by the thicker cells of the outer tegmen and endotesta; g) Longitudinal section (orthoslice yz0727) through seed showing outlines of angular crystals evenly distributed in cells of the endotesta (oi-en); note the outer epidermis of the tegmen (ii-o) composed of thick-walled cells; h) Longitudinal section (orthoslice xz0940) of seed showing details of the chalazal region with course of the vascular bundle (vb), cells of the prominent endothelium (asterisk), crystalliferous endotesta of the outer integument (oi-en) and the distinct thick walled cells of the outer cells of the tegmen (ii-o); i) Longitudinal and tangential section (orthoslice yz0542) through the endotesta (oi-en) showing the outlines of densely spaced crystals. Specimens, Catefica 242-S175178 (a–c, e–h), Catefica 49-S175179 (d, i). Scale bars = 300 Μm (a–d), 100 Μm (e, f, h, i), 50 Μm (g).
[LS2N_IPI_DIBR_Videos] 3D-TV System with Depth-Image-Based Rendering Architectures, Techniques and Challenges
<h3>Presentation & Goal</h3> <p>The <strong>IRCCyN IVC DIBR Videos</strong> quality database contains <strong>102 video sequences</strong> of 6 seconds in 1024x768 resolution with between 15 and 30 frames per second. Individual votes and Mean Opinion Scores (MOS) obtained by an Absolute Category Rating with Hidden Reference (ACR-HR) experiment are provided.</p> <p>Three different multiview plus depth (MVD) sequences are considered in this database. The sequences are Book Arrival (1024x768, 16 cameras with 6.5cm spacing), Lovebird1 (1024x768, 12 cameras with 3.5 cm spacing) and Newspaper (1024x768, 9 cameras with 5 cm spacing). Seven DIBR algorithms processed the three sequences to generate, for each sequence, four new viewpoints.</p> <h4>Initial goal</h4> <p>This database was done to consider the reliability of usual assessment methods when evaluating virtual synthesized views in the multiview video context. Virtual views are generated from Depth Image Based Rendering (DIBR) algorithms. Because DIBR algorithms involve geometric transformations, new types of artifacts come up. The question regards the ability of commonly used methods to deal with such artifacts.</p> <h4>Possible usage</h4> <p>This video quality database can be used to test a video quality metric precision in a context of DIBR.</p> <p> </p> <p> </p> <h3>Dataset description</h3> <div> <p>We used Absolute Category Rating - Hidden Reference (<strong>ACR-HR</strong>) and as test methodology.</p> <p>We provide a <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/IRCCyN_IVC_DIBR_Videos_Scores.xls">spreadsheet</a> with the individual scores, the Mean Opinion Score (MOS) and the Differential Mean Opinion Score (DMOS) for each of the 102 Processed Video Sequences (PVS).</p> <p>The <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/Videos">PVS (avi videos)</a> are available on our FTP server and are in the AVI format.</p> <p>The information about the source contents, video tested generation, subjective experiment environment and available data are provided in a <a href="https://web.archive.org/web/20200219062815/ftp://ftp.ivc.polytech.univ-nantes.fr//IRCCyN_IVC_DIBR_Videos/IRCCyN_IVC_DIBR_Videos_Description_v1.0.pdf">description file</a>.</p> <h4>Source contents (SRC)</h4> <table> <tbody> <tr> <th> <h4>Source number</h4> </th> <td> <h4>Source name</h4> </td> <td> </td> <td> <h4>Description</h4> </td> </tr> <tr> <th>01</th> <td><strong>Book Arrival</strong></td> <td> </td> <td><u>Description</u> : A man in an office standing up to welcome another man. <br><u>Author</u> : Heinrich-Hertz-Institut. <br><u>Video frame rate</u> : 15Hz <br><u>Number of frames</u> : 100</td> </tr> <tr> <th>02</th> <td><strong>Lovebird1</strong></td> <td> </td> <td><u>Description</u> : A couple walking in front of a temple. <br><u>Author</u> : Electronics and Telecommunications Research Institute (ETRI). <br><u>Video frame rate</u> : 30Hz <br><u>Number of frames</u> : 150</td> </tr> <tr> <th>03</th> <td><strong>Newspaper</strong></td> <td> </td> <td><u>Description</u> : A man and a girl reading the newspaper around a table when a man coming behind them. <br><u>Author</u> : Gwangju Institute of Science and Technology (GIST). <br><u>Video frame rate</u> : 30Hz <br><u>Number of frames</u> : 200</td> </tr> </tbody> </table> <p> </p> <p> </p> <h3>Hypothetical Reference Circuits (HRC)</h3> <div> <p>The Processed Video Sequences (PVS) were created using the following Hypothetical Reference Circuits (HRC).</p> <table> <tbody> <tr> <th>HRC name</th> <th>HRC description</th> </tr> </tbody> <tbody> <tr> <td>cam_xx</td> <td>[No impairment - Reference sequence view 1]</td> </tr> <tr> <td>cam_yy</td> <td>[No impairment - Reference sequence view 2]</td> </tr> <tr> <td>cam_zz</td> <td>[No impairment - Reference sequence view 3]</td> </tr> <tr> <td>A1</td> <td>Fehn cropped : where the depth map is pre-processed by a low-pass filter. Borders are cropped, and then an interpolation is processed to reach the original size.</td> </tr> <tr> <td>A2</td> <td>Fehn interpolated : Borders are inpainted by the method proposed by Telea</td> </tr> <tr> <td>A3</td> <td>Tanimoto et al., it is the recently adopted reference software for the experiments in the 3D Video group of MPEG.</td> </tr> <tr> <td>A4</td> <td>Müller et al., proposed a hole filling method aided by depth information.</td> </tr> <tr> <td>A5</td> <td>Ndjiki-Nya et al., the hole filling method is a patch-based texture synthesis.</td> </tr> <tr> <td>A6</td> <td>Köppel et al., uses depth temporal information to improve the synthesis in the disoccluded areas.</td> </tr> <tr> <td>A7</td> <td>corresponds to the unfilled sequences (i.e. with holes).</td> </tr> <tr> <td>cam_xx_qp26</td> <td>Reference sequence view 1 coded by H.264 with a QP = 26</td> </tr> <tr> <td>cam_xx_qp34</td> <td>Reference sequence view 1 coded by H.264 with a QP = 34</td> </tr> <tr> <td>cam_xx_qp44</td> <td>Reference sequence view 1 coded by H.264 with a QP = 44</td> </tr> </tbody> </table> <p>There are several references (3 first lines of the table) for each content, because there are the 3 views used for each content. So there are 3 HRC with no impairment.</p> <p> </p> <p> </p> <h3>Experiment information</h3> <div> <table> <tbody> <tr> <td> <h4>Features</h4> </td> <td> <h4>Value</h4> </td> </tr> <tr> <td><strong>Highlights of this database</strong></td> <td>Depth Images Based Rendering</td> </tr> <tr> <td>Free-viewpoint</td> </tr> <tr> <td>video quality</td> </tr> <tr> <td><strong>Video</strong></td> </tr> <tr> <td><strong>Frame frequency</strong></td> <td>30 or 15Hz</td> </tr> <tr> <td><strong>Video format</strong></td> <td>1024x768</td> </tr> <tr> <td><strong>Video length</strong></td> <td>100, 150 or 200 frames</td> </tr> <tr> <td><strong>Video duration</strong></td> <td>5 to 7 seconds</td> </tr> <tr> <td><strong>Number of videos</strong></td> <td>102</td> </tr> <tr> <td><strong>Subjective test</strong></td> </tr> <tr> <td><strong>Observation distance</strong></td> <td>4H</td> </tr> <tr> <td><strong>Environment</strong></td> <td>ITU-R BT.500-11</td> </tr> <tr> <td><strong>Background luminance</strong></td> <td>25cd/m²</td> </tr> <tr> <td><strong>Methodology</strong></td> <td>ACR</td> </tr> <tr> <td><strong>Duration</strong></td> <td>30 minutes</td> </tr> <tr> <td><strong>Pre screening</strong></td> <td>Snellen, Ishihara</td> </tr> <tr> <td><strong>Post screening (Rejection method)</strong></td> <td>VQEG Multimedia</td> </tr> <tr> <td><strong>Observers</strong></td> </tr> <tr> <td><strong>Number of observers</strong></td> <td>32 naives</td> </tr> <tr> <td><strong>Display</strong></td> </tr> <tr> <td><strong>Display</strong></td> <td>TVLogic LMV401</td> </tr> <tr> <td><strong>Display resolution</strong></td> <td>Full HD (1920x1080 pixels)</td> </tr> <tr> <td><strong>Display frequency</strong></td> <td>60Hz</td> </tr> <tr> <td><strong>Display mode</strong></td> <td>progressive</td> </tr> <tr> <td><strong>Display luminance max</strong></td> <td>180cd/m²</td> </tr> </tbody> </table> </div> </div> </div>
SD4EO - Physically Based Rendering images of human settlements (Sentinel-2 B2B3B4B8)
<p>This dataset contains part of the results of the SD4EO project, including images corresponding to the use case of human settlement monitoring. The dataset contains images that have been simulated corresponding to different sensors of the Sentinel 2 satellites. Each image in the dataset includes pixel-level labels for each element present in the image, ensuring perfect accuracy due to the synthetic nature of the images. This eliminates common errors in manual or semi-automatic labeling processes.</p> <p><strong>Multispectral images included</strong><br>Sentinel 2: Images from bands 2, 3, 4 and 8.</p> <p><strong>Image labeling</strong></p> <p><strong>(Open Street Map color code)</strong></p> <div> <table> <tbody> <tr> <td> <p><strong>Element</strong></p> </td> <td> <p><strong>R</strong></p> </td> <td> <p><strong>G</strong></p> </td> <td> <p><strong>B</strong></p> </td> </tr> <tr> <td> <p>Road</p> </td> <td> <p>255</p> </td> <td> <p>255</p> </td> <td> <p>255</p> </td> </tr> <tr> <td> <p>Building</p> </td> <td> <p>196</p> </td> <td> <p>182</p> </td> <td> <p>171</p> </td> </tr> <tr> <td> <p>Highway</p> </td> <td> <p>232</p> </td> <td> <p>146</p> </td> <td> <p>162</p> </td> </tr> <tr> <td> <p>Industrial zone</p> </td> <td> <p>234</p> </td> <td> <p>203</p> </td> <td> <p>228</p> </td> </tr> <tr> <td> <p>Parking</p> </td> <td> <p>238</p> </td> <td> <p>238</p> </td> <td> <p>238</p> </td> </tr> <tr> <td> <p>Railway</p> </td> <td> <p>112</p> </td> <td> <p>112</p> </td> <td> <p>112</p> </td> </tr> <tr> <td> <p>Residential zone</p> </td> <td> <p>224</p> </td> <td> <p>223</p> </td> <td> <p>223</p> </td> </tr> <tr> <td> <p>Vegetation</p> </td> <td> <p>174</p> </td> <td> <p>223</p> </td> <td> <p>163</p> </td> </tr> <tr> <td> <p>Water</p> </td> <td> <p>170</p> </td> <td> <p>211</p> </td> <td> <p>223</p> </td> </tr> </tbody> </table> <p><strong>(Building Masks)</strong></p> <p>Green - Non residential</p> <p>Red - Residential</p> </div> <p><br><strong>Image name convention</strong></p> <p>The name convention follows the next schema of fields, separated by the character “_”</p> <p>- ID number</p> <p>- Meters per pixel resolution</p> <p>- Type of image (Sentinel 2 bands, labels or buildings masks): B2B3B4, B8, labels, buildings</p> <p><strong>Image formats</strong></p> <p>PNG format is used to display each band in normalized values [0..1].</p> <p>TIFF format is used to save each band with floating point precision in the original range of the satellite images.</p> <table> <tbody> <tr> <td> <p><strong>Type of data</strong></p> </td> <td> <p><strong>PNG range</strong></p> </td> <td> <p><strong>TIFF range</strong></p> </td> </tr> <tr> <td> <p>B2</p> </td> <td> <p>0 - 255</p> </td> <td> <p>0 - 2000</p> </td> </tr> <tr> <td> <p>B3</p> </td> <td> <p>0 - 255</p> </td> <td> <p>0 - 2500</p> </td> </tr> <tr> <td> <p>B4</p> </td> <td> <p>0 - 255</p> </td> <td> <p>0 - 3000</p> </td> </tr> <tr> <td> <p>B8</p> </td> <td> <p>0 - 255</p> </td> <td> <p>1180 - 5736</p> </td> </tr> </tbody> </table> <p><strong>Creation and funding</strong></p> <p>All the images have been generated using a tool developed in Unity. This tool will be soon available to enable the generation of new datasets.</p> <p>This research work has been funded by the European Space Agency (ESA) under the FutureEO program and the SD4EO project (Contract No.: 4000142334/23/I-DT), supervised by the ESA Φ-lab.</p> <p><strong>License and attribution</strong></p> <p>This dataset is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a> (CC BY 4.0).</p> <p>When using the images from this dataset, please attribute them as follows: "Synthetic images created by the research group ARTEC - IRTIC - University of Valencia".</p>
Dataset related to the article "Head to Head Comparison between Different 3-Dimensional Echocardiographic Rendering Tools in the Imaging of Percutaneous Edge-to-Edge Mitral Valve Repair"
<p>This record contains raw data related to the article "Head to Head Comparison between Different 3-Dimensional Echocardiographic Rendering Tools in the Imaging of Percutaneous Edge-to-Edge Mitral Valve Repair"</p> <p>MitraClip (MC) is the most common percutaneous treatment for severe mitral regurgitation<br> (MR). An accurate two-dimensional and three-dimensional echocardiographic (3DTEE) imaging is<br> mandatory for the optimal procedural result. Recently transillumination 3DTEE rendering (3DTr) has<br> been introduced integrating a virtual light source into the dataset and with the addition of glass effect<br> (3DGl) allows to adjust tissue transparency improving depth perception and anatomical structure<br> delineation in comparison with the standard 3DTEE (3DSt). The aim of this retrospective study in<br> 30 patients undergoing MC, was to compare 3DSt, 3DTr, and 3DGl in mitral valve (MV) evaluation<br> and procedural result assessment. 3DTEE acquisitions obtained before and after MC were processed<br> with 3DSt, 3DTr, and 3DGl rendering. Each reconstruction was scored for quality and for ability<br> to recognize MV anatomy, MR origin, clip position, dimension and grasping. Imaging quality was<br> judged good or optimal in 52%, 76%, and 96% in 3DSt, 3DTr, and 3DGl reconstructions respectively.<br> In 26/30 patients a diagnostic incremental value was found with 3DTr vs. 3DSt and in 15/26 with<br> 3DGl vs. 3DTr and 3DSt. Only 3DGl with perpendicular cropping of the clip allowed to visualize and<br> measure the grasped portion of each mitral leaflets. 3DTEE imaging during MC may be improved<br> by 3DTr and 3DGl providing a better evaluation of MV, of leaflet grasping and of residual MR jets<br> after MC.</p>
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.