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1,506 results for “objects”
Street View Signboard Objects (SVSO)
<p><strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymensingh, Barisal, Rajshahi, Khulna, Rangpur, Bogra and Pabna, 10 different cities of Bangladesh. There is also an independent test set containing 200 signboard images from 6 developing countries such as Bangladesh, Bhutan, Malaysia, Myanmar, Sri Lanka and Thailand. In this collection, every image file has been downscaled to 1000*600 pixels using the Anti-aliasing method. Then image normalization has been performed on all images to transform each pixel value between 0 and 1. To keep all image features on the same scale, standardization method has been applied. SVSO was originally created for the research work of Signboard Detection in densely populated areas which is currently the largest existing dataset for signboard class objects.</strong></p>
Figure 12 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 12 (continued from previous page, continued on next page). Representative salticids and their microhabitats in southern Greenville County, South Carolina. 7-8, Female Maevia inclemens (Walckenaer 1837) with brachyceran fly, and leaves of the Virginia Creeper Parthenocissus quinquefolia in the forest understory. Maevia are leaf-dwellers, very adept at flipping from one side of a leaf to the other. 9-10, Female Phidippus princeps (Peckham & Peckham 1883) feeding on spider, and dense growth of herbs and grasses including Solidago along a forest margin. 11-12, Male Phidippus pius Scheffer 1905 feeding on cicadellid leafhopper Graphocephala coccinea, and tall grasses with herbacious plants in a well-developed old field.
Figure 6 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 6. Hypothetical pursuit of nearby prey (primary objective) in three dimensions with a route that was not coplanar. In this example the entire route would be visible to the spider at all times during the pursuit. 1, Spider facing the prey (A). 2, Spider facing a secondary objective (B) selected for its visible connection to the primary objective (A). 3, Spider moving down (the only option available) to complete segment one of this pursuit. 4, Spider reorienting to face the primary objective (A), to begin the second segment of pursuit. 5, Spider facing the secondary objective (B). 6, Spider facing a tertiary objective (C) selected for its visible connection to the secondary objective (B). 7, Spider facing a quaternary objective (D) selected for its visible connection to the tertiary objective (B). 8, Spider moving to the quaternary objective (D). Movement toward the quaternary objective rather than toward the tertiary objective would indicate that the spider recognized that the elevated position of the latter was not directly accessible. 9, Spider reorienting to face the primary objective (A) to begin a third segment of pursuit. 10, Spider moving toward the primary and secondary objectives. 11, Spider reorienting to face the primary objective (A), beginning a fourth segment of pursuit. 12, Spider moving directly toward the primary objective (A).
Figure 5 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 5. Hypothetical pursuit of nearby prey (primary objective) in three dimensions. In this example the entire route is almost coplanar and would be visible to the spider at all times during its pursuit. 1, Spider facing the prey (A). 2, Spider facing a secondary objective (B) selected for its visible connection to the primary objective (A). 3, Spider moving down (the only option available at this point) to complete segment one of pursuit. 4, Spider reorienting to face the primary objective (A) to begin the second segment of pursuit. 5, Spider facing the secondary objective (B). 6, Spider facing a tertiary objective (C) connected to the secondary objective (B). 7, Spider moving to the tertiary objective. 8, Spider reorienting to face the primary objective, initiating a third segment of pursuit. 9, Spider moving toward the primary objective.
Figure 12 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 12 (continued on next page). Representative salticids and their microhabitats in southern Greenville County, South Carolina. 1-2, Female Lyssomanes viridis (Walckenaer 1837) with brachyceran fly, and the evergreen tree Magnolia grandiflora. L. viridis live on or beneath large leaves in the forest understory. 3-4, Female Colonus sylvanus (Hentz 1846) feeding on spider, and the small evergreen tree or shrub Prunus caroliniana. This is a common predator on spiders and insects in the forest understory. 5-6, Female Platycryptus undatus (De Geer 1778) with nematoceran prey, and trunk of the Virginia Pine, Pinus virginiana. P. undatus are dorsoventrally compressed and make their shelters under loose bark, often on dead or dying trees, or in crevices on the outside of man-made structures.
Figure 4 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 4. Hypothetical pursuit of nearby prey (primary objective) in a plane. 1, Spider facing the prey. 2, Spider facing a secondary objective (B) selected for its visible connection to the primary objective (A). 3, Spider facing a tertiary objective (C) selected for its visible connection to the secondary objective (B). 4, Spider moving away from the prey position toward the tertiary objective. 5, Spider reorienting to face the original prey position. 6, Spider moving toward the prey on the second segment of pursuit. 7, Spider reorienting to face the original prey position. 8, Spider moving toward its prey on the third segment of pursuit. As in the simpler example shown in Figure 3, the route would be visibly connected to the prey at all times during this pursuit.
Figure 3 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 3. Hypothetical pursuit of sighted prey (A, primary objective) in a plane. This assumes that the position of the prey is too far away for a direct jump. 1, Spider (S) facing the prey (A). 2, Spider facing a secondary objective (B), selected for its visible connection to the primary objective (A). 3, Spider moving along in the direction of (B). 4, Spider facing the expected position of its prey from a new position (reorientation), initiating a second segment of pursuit. 5, Spider moving to the secondary objective (B) on the second segment of pursuit. 6, Spider facing the expected position of its prey from this new position (reorientation), initiating a third segment of pursuit. 7, Spider moving toward the prey position. At all times during this pursuit the route would be visibly connected to the prey position.
Figure 12 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 12 (continued from previous page). Representative salticids and their microhabitats in southern Greenville County, South Carolina. 13-14, Female Hentzia mitrata (Hentz 1846) feeding on large brachyceran fly, and leaves of of a deciduous shrub or small tree of the genus Prunus in the woodland understory. 15-16, Female Anasaitis canosa (Walckenaer 1837) feeding on ant worker, and the fallen branches and leaf litter of its habitat in the woodland understory. 17-18, Male Habronattus coecatus (Hentz 1846) feeding on captured mosquito (Culicidae), and its open-ground habitat.
Figure 7 in How jumping spiders (Araneae: Salticidae) find and use indirect routes to reach their sighted objectives
Figure 7. Hypothetical pursuit of nearby prey (primary objective) in three dimensions with a non-coplanar route that was not always visible to the spider. 1, Spider facing the prey (A). 2, Spider facing a secondary objective (B) selected for its visible connection to the primary objective (A). 3, Spider moving down (the only option available) to complete segment one of this pursuit. 4, Spider reorienting to face the primary objective (A) to begin a second segment of pursuit. 5, Spider facing the secondary objective (B). 6, Spider facing a tertiary objective (C) selected for its visible connection to the secondary objective (B). 7, Spider facing a quaternary objective (D) selected for its visible connection to the tertiary objective (C). 8, Spider moving to the quaternary objective (D). 9, Spider reorienting to face the primary objective (A) beginning a third segment of pursuit. 10, Spider turning to face the tertiary objective (C). 11, Spider turning to face a new quaternary objective (D'), now visibly connected to the tertiary objective. 12, Spider moving to the quaternary objective. 13, Spider reorienting to face the primary objective (A) to begin a fourth segment of pursuit. 14, Spider facing the secondary objective. 15, Spider moving toward the secondary and tertiary objectives. 16, Spider reorienting to face the primary objective (A), beginning a fifth segment of pursuit. 17, Spider moving toward the secondary and tertiary objectives. 18, Spider reorienting to face the primary objective (A), beginning a sixth segment of pursuit. 19, Spider moving directly toward the primary objective.
Data and movies for "Flow of the normal component of He II about bluff objects as recorded by 〖He〗_2^* excimers"
<p>The directory is subdivided for the cylinder and flat plate bluff objects. Each subdirectory is further subdivided into data and movie subdirectories.</p> <p>"Data" consists of raw data collected from the camera. In the data directory is a listing of the filename with the power applied to the heater. Filenames of background data are also listed. </p> <p>"Movie" consists of frames integrated over 0.5 second intervals (28 frames). The movies include only excimer peaks for which the intensity of the peak is >3 sigma (~45). Where sigma is the standard deviation of the per frame background.</p> <p>A basic Jupiter Notebook is included in the top-level directory. This notebook (and the python code used by the notebook) will allow a user to upload a data file and a background file, subtract the background and place the net result into a NumPy array with dimensions of 256 x 256 x 1500, which represent the 2 directions in position and time in seconds.</p>
CWL run of Somatic Variant Calling Workflow (CWLProv 0.5.0 Research Object)
<p>The somatic variant calling workflow included in this case study is designed by <a href="http://bcb.io/">Blue Collar Bioinformatics (bcbio)</a>, a community-driven initiative to develop best-practice pipelines for variant calling, RNA-seq and small RNA analysis workflows. According to the documentation, the goal of this project is to facilitate the automated analysis of high throughput data by making the resources quantifiable, analyzable, scalable, accessible and reproducible.</p> <p>All the underlying tools are containerized, facilitating software use in the workflow. The somatic variant calling workflow defined in CWL is available on GitHub and equipped with a well defined test dataset.</p> <p>This dataset folder is a CWLProv Research Object that captures the Common Workflow Language execution provenance, see <a href="https://w3id.org/cwl/prov/0.5.0">https://w3id.org/cwl/prov/0.5.0</a> or use <a href="https://pypi.org/project/cwlprov/">https://pypi.org/project/cwlprov/</a> to explore</p> <p><strong>Steps to reproduce</strong></p> <p>To build the research object again, use Python 3 on macOS. Built on:</p> <ul> <li>Processor 2.8GHz Intel Core i7</li> <li>Memory: 16GB</li> <li>OS: macOS High Sierra, Version 10.13.3</li> <li>Storage: 250GB</li> </ul> <p>To run the workflow:<br> </p> <pre><code class="language-bash">pip3 install cwltool==1.0.20180912090223 git clone https://github.com/FarahZKhan/bcbio_test_cwlprov cd bcbio_test_cwlprov/somatic/somatic-workflow/ cwltool --provenance somaticwf_0.5.0_mac main-somatic.cwl main-somatic-samples.json</code></pre> <p>To package the research object:<br> </p> <pre><code class="language-bash">zip -r somaticwf_0.5.0_mac.zip somaticwf_0.5.0_mac/ sha256sum somaticwf_0.5.0_mac.zip > somaticwf_0.5.0_mac.zip.sha256</code></pre> <p>The <a href="https://github.com/FarahZKhan/bcbio_test_cwlprov">cloned git repository</a> is a fork of <a href="https://github.com/bcbio/test_bcbio_cwl">https://github.com/bcbio/test_bcbio_cwl</a>. It was obtained using:</p> <pre><code class="language-bash">wget -O test_bcbio_cwl.tar.gz https://github.com/bcbio/test_bcbio_cwl/archive/master.tar.gz</code></pre> <p>The content is from an archived version from the documentation here: <a href="https://bcbio-nextgen.readthedocs.io/en/latest/contents/cwl.html#install-bcbio-vm-with-containers">https://bcbio-nextgen.readthedocs.io/en/latest/contents/cwl.html#install-bcbio-vm-with-containers</a></p>
Brass Decorative Object
Brass Decorative Object (FS2021-0793_176) excavated by City of St. Augustine archaeologists. To learn more about the City of St. Augustine Archaeology Program, visit: https://www.citystaug.com/Archaeology This model was created using RealityCapture software by Capturing Reality. Model by Emma Dietrich Source: Objaverse 1.0 / Sketchfab
Unknown Object
This project received funding from the Heritage Council through the Creative Ireland Programme 2019 Part of the collection from the forge museum mountbellew Co. Galway More Details[ here ](https://visitgalway.ie/mountbellew-old-forge-museum/) Source: Objaverse 1.0 / Sketchfab
St Bride's Stone Object
A stone 'ornament' (possibly from the original pre 1666 fire church) in the churchyard of St Bride's Fleet Street, London. https://en.wikipedia.org/wiki/St_Bride%27s_Church 302 photos taken in January 2022 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
The belt-like object from Vimose (1)
The 3D model presents a hypothetical digital reconstruction of the belt-like object from Vimose (2nd century AD, Nationalmuseet, inv. no. 24223). The original artefact consists of a copper alloy hinge that pivots around an iron pin with a copper alloy ring. Two fragments of mail fabric are attached to the left and right sides of the hinge (for further details see «Wijnhoven, M.A. (2022) A Roman Iron Age assemblage of mail armour from the weapon deposit of Vimose, Journal of Roman Military Equipment Studies, № 21»). The reconstruction is based upon the measurements of the actual artefact. The authors of the reconstruction are Aleksei Moskvin (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/AlekseiMoskvin Mariia Moskvina (Saint Petersburg State University of Industrial Technologies and Design) https://independent.academia.edu/MariiaMoskvina Martijn A. Wijnhoven (VU University Amsterdam) https://vu-nl.academia.edu/MartijnAWijnhoven Source: Objaverse 1.0 / Sketchfab
Газеты | The Object soviet newspaper props
Советские газеты для моего проекта. Делал для себя, но можно пользоваться всем, кто хочет. Тут только текстуры, поэтому модели и формы делайте уже сами. Если вы вдруг хотите мне как-то помочь в развитии канала, то я не против ( НО НЕ НАСТАИВАЮ!): https://www.donationalerts.com/r/gradislav Не забывайте на мой ютуб заходить, жду от вас подписочки и комментов! https://www.youtube.com/c/NOQUALITY96/videos Source: Objaverse 1.0 / Sketchfab
Wooden Object, Kirkjubø - Træ 3
Høgdur trælutur úr Kirkjubø. *Carved wooden object from Kirkjubø, Faroe Islands.* Created by Petur Hansen, using Artec Space Spider scanner and Artec Studio 16. Dimensions: 111cm x 18cm x 10.5cm. Source: Objaverse 1.0 / Sketchfab
unreliable object_39
Found in the Western Cape Region, South Africa. "Considered as symbolic goods, works of art only exist for those who have the means of appropriating them, that is, of deciphering them." Bourdieu, P., A. Darbel, D. Schnapper (ed.) (1990): The love of art: European art museums and their public. Stanford. P. 40. Source: Objaverse 1.0 / Sketchfab
Bread object capture - lowpoly remake
Remake of "Bread object capture" by alban, for game engine. https://sketchfab.com/3d-models/bread-object-capture-1e439d130092410a9abb5c9822b39881 3 x 2048 textures 44.8k to 1100 tris Source: Objaverse 1.0 / Sketchfab
Lost Data, Unknown Object
Méléagre - Louvre Museum (Low Definition) by Benjamin Bardou is licensed under CC Attribution Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
Understand access before you commit
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.