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88 results for “polygon”
Polygonal Axe
The front half of a polygonal axe from Hallsberg parish, Närke. Polygonal axes were ceremonial axes associated with the Funnel Beaker Culture. The appear during the Early Neolithic,c:a 4000-3300 BC. The axe has been broken off by the shaft hole, and the base half is missing. http://historiska.se/upptack-historien/object/1227589 3D scanning Xenter 3D-tekniker Midori Åstrand Source: Objaverse 1.0 / Sketchfab
simplified_water_polygons
Simplified water polygons for Europe. Source: OSM
Polygon Laser Texturing Process
<p>Polygon Laser Texturing Process</p>
Ghotic Portal of Polygonal Turret
ZDE/HERE: https://mapy.cz/s/cocumaluzo Gotický portálek do schodišťové vížky original model: 5,622,215tris original texture: 20,000px mapy: https://mapy.cz/s/jusabusado Source: Objaverse 1.0 / Sketchfab
Polygonal Venus Statue - Low Poly
Polygonal Venus statue based on famous ancient masterpiece. This one is free example, if you like it you can take a look at more on our profile :) Source: Objaverse 1.0 / Sketchfab
Distribution of Heracleum sosnowskyi in Syktyvkar city. Vector (polygon) dataset in shapefile.
<p>Dataset contain the borders of Heracleum sosnowskyi stands in Syktyvkar city, Komi Republic, Russia (61.669081º N, 50.822498º E). The dataset was prepared by hand recognition of sattelite images. Field verification was performed with geotagged photos from RIVR system (https://ib.komisc.ru/add/rivr/en).</p> <p>Spatial Reference System: +proj=utm +zone=39 +datum=WGS84 +units=m +no_defs (EPSG: 32639)</p> <p>Extents in spatial reference system units: xMin,yMin 482975.07,6832549.56 : xMax,yMax 494553.23,6857424.73<br> </p>
Figure 3 in Support polygons and symmetrical gaits in mammals
Figure 3. Distributions of mammalian gaits on the Hildebrand diagram.
Simulation outputs of DynSoM model and instrumental data for Samoylov Island's polygonal tundra
<p>These datasets include the observational data, the input parameters, and the Dynamic Soil Model (DynSoM) outputs of a polygonal tundra arctic environment located in the quaternary sediments of Samoylov island, with and without considering heave due the segregation of ice. The data is gathered (SamValidation.mat) and simulated at the centre and rim of one of the polygons, which correspond to wet and dry tundra conditions respectively. This dataset Is used as a primary data input for the simulation and output for the figures of the article "Mechanistic Modelling of Segregated Ice and Soil Heave Dynamics in Artic Soils" by Xavier Rodriguez-Lloveras, Melanie A. Thurner Philipp Porada & Christian Beer, Universität Hamburg. Submitted to "The Journal of Advances in Modeling Earth Systems (JAMES)" on February 2023.</p> <p>The datasets are published as MATLAB matrix format and require adequate MATLAB (or equivalent) software for visualization.</p> <p>The validation data (SamValidation.mat) is a subset of the data published by Boike et al. (2019, doi:10.1594/PANGAEA.905236) adapted to the DynSoM model requirements.</p>
Cattle Trough Clapham The Polygon
A London Metropolitan Drinking Fountain Association cattle trough at the north end of The Polygon, Clapham, London. 283 photos taken in May 2021 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Permian (P) stratum polygons in Yangtze River Basin
<p><span>The Permian stratums (</span><span>1:500000 Geological Map</span><span>) in the Yangtze River Basin. </span></p>
SDSS DR7 survey mask polygon file
<p>This is a polygon file for the <a href="https://github.com/mollyswanson/mangle">Mangle</a> software that defines the survey mask geometry for the <a href="https://classic.sdss.org/dr7/">SDSS DR7</a>. It was originally available at this, now defunt, <a href="http://space.mit.edu/~molly/mangle/download/data/sdss_dr72safe0_res6d.pol.gz">link</a>. The file was originally created and distributed by <a href="https://github.com/mollyswanson">Molly Swanson</a>.</p>
Dataset with square plots across Sierra Nevada (Spain) where the contours of all juniper shrubs were annotated as polygons using centimetric GPS and very high resolution aerial and satellite RGB images
<p><strong>This dataset is a shapefile of 767 polygons describing the contours of Juniperus communis L. and Juniperus sabina L. shrubs for the year 2021 in rectangular plots across Sierra Nevada. The coordinates of the polygons were obtained from a field work campaign with a differential centimetric GPS, and their contours were drawn manually in QGIS using the Google Earth satellite image for 2020 and the PNOA aerial image for the 2020. </strong></p> <p><strong>This dataset also contains an excel file describing the features of each polygon: the polygon centroid coordinates, the type of species, the sexgender, the morphotype, the damage in the vegetation cover estimated in the field and telematically, certainty of the digitalization with QGIS and also if the differential centimetric GPS used belongs to the University of Granada or the University of Almeria. </strong></p>
Width area slope data, valley bottom polygons and width measurements
<p>This link contains:</p> <p>1. "Sections_raw_data_resubmission.xlsx" - An excel file with 13 sheets. 12 sheets refer to the valley sections analyzed in the study, and one refers to the channel width data explored in valley 12. </p> <p>2. kml shapefiles of the valley bottom polygons before and after manual editing</p> <p>3. kml shapefiles of the width measuraments</p>
Debris cover polygons of Pyrenean glaciers from 2000 to 2022
<p>We present the debris cover polygons of the last remaining Pyrenean glaciers for the years 2000, 2011, 2020 and 2022. The mapping was performed with QGIS (v3.28.1-Firenze) based on high-resolution orthophotos (available on the IGN website for 2000 and 2011) and very high-resolution orthomosaics (derived from UAV flights in 2020 and 2022).</p>
FIGURE 18-20. M in Tiny diatoms Minidiscus vodyanitskiyi sp. nov. (Bacillariophyta) from the Sea of Azov and consideration of polygonal areolae pattern
FIGURE 18-20. M. vodyanitskiyi looks like an intermediate form between M. proschkinae and M. spinulatus because it has the same number of SLP as M. spinulatus, and its areolae construction is identical to M. proschkinae. (Drawings of M. proschkinae and M. spinulatus are from Park et al., 2017, fig. 11; drawing of M. vodyanitskiyi is original).
FIGURES 16–17 in Tiny diatoms Minidiscus vodyanitskiyi sp. nov. (Bacillariophyta) from the Sea of Azov and consideration of polygonal areolae pattern
FIGURES 16–17. Teratological valves of M. vodyanitskiyi. 16. Two marginal fultoportulae are surrounded by 1 or 2 satellite pores instead of 3. 17. Rimoportula slit is orthogonal to a radial direction, and the number of satellite pores around two marginal fultoportulae is less than 3. SEM.
FIGURES 10–13 in Tiny diatoms Minidiscus vodyanitskiyi sp. nov. (Bacillariophyta) from the Sea of Azov and consideration of polygonal areolae pattern
FIGURES 10–13. Diversity of areolae constructions in M. vodyanitskiyi. SEM. 14. Dependence between diameters of valves and the presence or absence of filiform growth on areolae ribs in M. vodyanitskiyi; black vertical lines show median values. 15. Variability of valve dimensions: from small to largest; the largest valve has no filiform growth on areolae ribs, but in other characteristics it is identical to the small one. SEM. Scale bar is 10 μm.
FIGURES 5–9 in Tiny diatoms Minidiscus vodyanitskiyi sp. nov. (Bacillariophyta) from the Sea of Azov and consideration of polygonal areolae pattern
FIGURES 5–9. Construction of valve and areolae, and different views on fulto- and rimoportulae of M. vodyanitskiyi. 5–6. Outside and inside view of the valve of M. vodyanitskiyi; Fig. 5 shows holotype. 7. Outside and inside view on locular areolae and cribrum, which is perforated by cribral pores. 8. Different views on marginal fultoportulae—they all are surrounded by three satellite pores. 9. Different views on central fultoportula that is surrounded by two satellite pores, and on rimoportula that can be oriented radially, or slightly tangentially. SEM.
FIGURES 1–2 in Tiny diatoms Minidiscus vodyanitskiyi sp. nov. (Bacillariophyta) from the Sea of Azov and consideration of polygonal areolae pattern
FIGURES 1–2. Types of polygonal areolae patterns. 1. Geometric models of polygonal areolae patterns redrawn from (Longuet-Higgins 2001). 2. Deformed hexagonal and heptagonal areolae patterns of M. vodyanitskiyi. SEM.
Lattice polygons with at most 70 lattice points
<p>This record contains</p> <ul> <li>All lattice polygons with at most 70 lattice points,</li> <li>All interior lattice polygons with at most 112 lattice points,</li> </ul> <p>where a lattice polygon is called interior if it is the convex hull of interior lattice points of another lattice polygon. The algorithm to classify lattice polygons by lattice points is due to Koelman, see section 4.4 of his dissertation (reference below). His original classification was up to 42 lattice points, but his data was not publicily available. We have implemented his algorithm in <a href="https://github.com/justus-springer/RationalPolygons.jl">RationalPolygons.jl</a>, recreating and extending his classification.</p> <h3>Structure of the HDF5 files</h3> <p>The two archives "koelman70.tgz" and "koelman_interiors112.tgz" contain files l3.h5, l4.h5, etc... storing the polygons with given number of lattice points in the <a href="https://www.hdfgroup.org/solutions/hdf5/">HDF5</a> file format. In the HDF5 files, the polygons are split into different datasets according to their number of vertices, which we denote by "n". There is one dataset for every number of vertices. For example, the lattice polygons with 6 vertices having 50 lattice points are located in "l50.h5" under the dataset "n6". Each dataset of polygons is one-dimensional with one entry per polygon. A polygon is stored using a compound datatype with \(2 \cdot n\) fields of integers, which are the vertices of the polygon. For example, a triangle with vertices \((x_1,y_1), (x_2,y_2)\) and \((x_3,y_3)\) is stored as the tuple \((x_1,y_1,x_2,y_2,x_3,y_3)\). Moreover, each file contains the special one-dimensional dataset "numbers_of_polygons" that stores the numbers of polygons for given number of vertices.</p>
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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.