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6 results for “hexagonal grid”

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zenodo44/100

Geografisches hexagonales Gitter mit 1 Quadratkilometer Zellengröße für Deutschland - Geographical hexagonal grid with one square kilometer cell size for Germany

<p>Ein r&auml;umliches Gitter stellt eine abstrakte Definition von einheitlich gro&szlig;en Bezugszellen f&uuml;r statistische Auswertungen dar. Dieses macht Auswertungen und Vergleiche gegen&uuml;ber r&auml;umlichen Abgrenzungen auf der Basis von administrativen Grenzen wie Kreisen oder Gemeinden unterschiedlicher Gr&ouml;&szlig;en einfacher. Geografische Gitterdefinitionen werden eingesetzt, um eine vordefinierte Raumbezugsstruktur zu haben mit einer einheitlicheren Verteilung von Zellen in der Fl&auml;che.</p> <p><br> Ein Gitter mit sechseckigen, eben hexagonalen Zellen bietet eine Alternative zu rechteckigen statistischen Gittern wie das GeoGitter vom Bundesamt f&uuml;r Kartographie und Geod&auml;sie (BKG, 2020). Ein Hexagon-Gitter bietet neben der Eigenschaft homogene Einheiten f&uuml;r statistische Analysen zu bilden (Schindler et al. 2008) mit sechs unmittelbaren Nachbarzellen vorteilhaftere Voraussetzungen f&uuml;r Nachbarschaftsanalysen im Vergleich zu quadratischen Zellen mit vier Kantennachbarn (White et al. 1992). Als Beispiel werden im Bild 1 mittels Hexagonen-Gitter Volumenunterschiede der aufragenden Vegetation pro Zelle dargestellt.</p>

opencc-by-4.0Jun 2022View details →
zenodo44/100

Hexagonal grid in Flanders, Belgium

<p>As part of the annual partridge&nbsp;spring&nbsp;counts in Flanders,&nbsp;hunters&nbsp;are required to count partridges&nbsp;in all areas that have <a href="https://doi.org/10.5281/zenodo.5814833">suitable&nbsp;habitat</a>&nbsp;for partridges (<em>Perdix perdix</em>). Since it is assumed that visibility is around 200 meters, this hexagonal grid with a distance of 400 meters between parallel sides, helps volunteers in choosing observation&nbsp;points.</p>

opencc-zeroOct 2022View details →
zenodo44/100

A Standardized European Hexagon Gridded Dataset Based on OpenStreetMap POIs

<p>Point of interest (POI) data refers to information about the location and type of amenities, services, and attractions within a geographic area. This data is used in urban studies research to better understand the dynamics of a city, assess community needs, and identify opportunities for economic growth and development. POI data is beneficial because it provides a detailed picture of the resources available in a given area, which can inform policy decisions and improve the quality of life for residents. This paper presents a large-scale, standardized POI dataset from OpenStreetMap (OSM) for the European continent. The dataset&#39;s standardization and gridding make it more efficient for advanced modeling, reducing 7,218,304 data points to 988,575 without significant resolution loss, suitable for a broader range of models with lower computational demands. The resulting dataset can be used to conduct advanced analyses, examine POI spatial distributions, conduct comparative regional studies, enhancing understanding of the economic activity, distribution, attractions, and subsequently, economic health, growth potential, and cultural opportunities. The paper describes the materials and methods used in generating the dataset, including OSM data retrieval, processing, standardization, and hexagonal grid generation. The dataset can be used independently or integrated with other relevant datasets for more comprehensive spatial distribution studies in future research.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Worldwide Hexagonal Grid 7774km2

<p>We made a worldwide &nbsp;hexagonal grid composed of 20,805 hexagonal &nbsp;7774 km2 units, built using Discrete Global for R (<a href="https://github.com/r-barnes/dggridR">https://github.com/r-barnes/dggridR</a>).</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

The complete set of neighborhood motions maps induced on a hexagonal grid

<p>The complete set of neighborhood motions maps induced on a hexagonal grid. This is a supplementary material for: Pluta K., Romon P., Kenmochi Y., Passat N.: Honeycomb geometry: Rigid Motions on the Hexagonal Grid, Accepted for DGCI17.</p>

opencc-by-4.0Jun 2017View details →
zenodo36/100

Third-order momentum advection on the quasi-hexagonal C-grid on the sphere: Data and source code

<p>This upload contains data and source code accompanying&nbsp;the paper submitted to JAMES (Journal of advances in modeling Earth systems) under the title &#39;Third-order momentum advection on the quasi-hexagonal C-grid on the sphere&#39;</p> <p>See README files for further details.</p>

opencc-by-4.0Sep 2022View 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

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