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215 results for “LEO”

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zenodo36/100

Magnetic Resonance Imaging Scan of the Brain of a Lion (Panthera leo)

<p>Magnetic Resonance Imaging Scan of the Brain of a Lion (<i>Panthera leo</i>) from http://braincatalogue.org/Lion</p>

opencc-by-nc-4.0Jan 2016View details →
zenodo36/100

Meet Leo!

This guy sits against the stairwell to the Thames on the south bank near county hall (Westminster Bridge) Scale and reference geometry taken from Leica Scanstation P40 LiDAR, supplimented with terrestrial photography, processed in Reality Capture Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2017View details →
zenodo36/100

1971 Honda CL350 Motorcycle - Artec Leo 3D Scan

3D scan of a 1971 Honda CL350 Scrambler with the Artec Leo in HD mode and Artec Studio 15. For more information on the scanner, please visit: https://gomeasure3d.com/artec/leo/ To learn more about Artec's new HD mode, please visit: https://gomeasure3d.com/artec/hd-mode/ Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2020View details →
dryad36/100

Coexistence from a lion's perspective: Movements and habitat selection by African lions (Panthera leo) across a multi-use landscape

<p>Diminishing wild space and population fragmentation are key drivers of large carnivore declines worldwide. Persistence of large carnivores in fragmented landscapes often depends on the ability of individuals to move between separated subpopulations for genetic exchange and recovery from stochastic events. Where separated by anthropogenic landscapes, subpopulations' connectivity hinges on the area's socio-ecological conditions for coexistence and dispersing individuals' behavioral choices. Using GPS-collars and resource- and step-selection functions, we explored African lion (<em>Panthera leo</em>) habitat selection and movement patterns to better understand lions' behavioral adaptations in a landscape shared with pastoralists. We conducted our study in the Ngorongoro Conservation Area, Tanzania, a multiuse rangeland, that connects the small, high density lion subpopulation of the Ngorongoro Crater with the extensive Serengeti lion population. Landscape use by pastoralists and their livestock varies seasonally, driven by the availability of pasture, water, and disease avoidance. The most important factor for lion habitat selection was the amount of vegetation cover, followed by the distance to human settlements and the interaction between those two variables, with selectivity strengths varying with season and time of day. All lions were more willing to approach human settlements at night and during the dry season, selecting strongly for cover when moving closer to humans during the day. Resident females most consistently used areas close to humans, but also relied more consistently on cover than males. Connectivity of lion subpopulations, facilitated by nomadic males, does not appear to be blocked by sparse pastoralist settlements and nomadic males avoided humans on the landscape more strongly than did resident lions. These results are consistent with lions balancing risk from humans with exploitation of livestock by altering their behaviors to reduce potential conflict. Our study lends some optimism for the adaptive capacity of lions to promote coexistence with humans in shared landscapes.</p>

opencc-zeroFeb 2024View details →
zenodo36/100

Using VLF Transmitter Signals at LEO for Plasmasphere Model Validation

<p><strong>VPM_survey_data_2020-03-12.xml </strong>survey electric field data collected between 2020-03-12 00:13:35UT and 2020-03-12 23:59:15 UT</p> <p><strong>vpm_map.cdf.zip</strong>&nbsp;processed VPM survey mode data containing longitude, latitude and power spectral density across the entire mission</p> <p>&nbsp; </p><p>&nbsp;</p> <p></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Bibliographie Leo Bönhoff (1872 – 1943)

<p>Leo B&ouml;nhoff (1872-1943) darf als einer der wichtigsten Historiker auf dem Gebiet der s&auml;chsischen Kirchen- und Landesgeschichte gelten. Als Pfarrer, Dr. phil. und Lic. theol. verf&uuml;gte er &uuml;ber das notwendige wissenschaftliche R&uuml;stzeug und Kenntnisse, um stark quellenbasiert zu arbeiten. B&ouml;nhoffs forschte und schrieb zur s&auml;chsischen Reformations- und Kirchengeschichte, Siedlungsgeografie und -geschichte, &uuml;ber Pers&ouml;nlichkeiten der s&auml;chsischen Geschichte sowie zu theologischen Themen. Aufgrund der intensiven Verwendung von Quellen haben B&ouml;nhoffs Arbeiten bis heute ihren wissenschaftlichen Wert erhalten. Der Gro&szlig;teil seiner Arbeiten ist in der S&auml;chsischen Bibliografie nachgewiesen; Ausnahmen bilden vor allem kleinere Beitr&auml;ge in Tageszeitungen, die jedoch in der hier ver&ouml;ffentlichten B&ouml;nhoff-Bibliografie nachgewiesen sind. Viele der Aufs&auml;tze B&ouml;nhoffs befinden sich in digital vorliegenden Ver&ouml;ffentlichungen; der Rest wird laufend erg&auml;nzt.</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Christmas Tree - Artec Leo 3D Scan

Christmas Tree ornament 3D scanned with the Artec Leo. Scans Processed in Artec Studio 16. Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2021View details →
zenodo36/100

Sensing Reflector Height Variation on Seconds-Scale Using Low Earth Orbit Interferometric Reflectometry (LEO-IR)

<p><span>The simulated data (SNR, elevation and azimuth angles etc.) used in this study.</span></p> <p><span>File name format:&nbsp; arc number for&nbsp;GNSS (or LEO) <span>constellation</span> '_' PRN '_' 'seg'+arc number for a GNSS (or LEO) satellite</span></p> <p><span>File content format:&nbsp; 1[year] 2[month] 3[day] 4[hour] 5[minute] 6[seconds] 7[elevation angle] 8[azimuth angle] 9[chang rate of elevation angle] 10[SNR] 11[rh_ref] 12[rhdot_ref] 13[t_seconds]</span></p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202404 - Part 2

<p>LENS dataset 2024-04 Part 2</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset (CSV) - 202405

<p>LENS dataset 2024-05 (CSV format)</p> <p>Please see&nbsp;<a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202405 - Part 3

<p>LENS dataset 2024-05 Part 3</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset (CSV) - 202404

<p>LENS dataset 2024-04 (CSV format)</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202405 - Part 2

<p>LENS dataset 2024-05 Part 2</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202404 - Part 1

<p>LENS dataset 2024-04 Part 1</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202405 - Part 1

<p>LENS dataset 2024-05 Part 1</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202404 - Part 3

<p>LENS dataset 2024-04 Part 3</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202404 - Part 4

<p>LENS dataset 2024-04 Part 4</p> <p>Please see <a href="https://github.com/clarkzjw/LENS" target="_blank" rel="noopener">https://github.com/clarkzjw/LENS</a> for the complete description of the dataset.</p>

opencc-by-sa-4.0Jun 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202406 - Part 3

<p>LENS dataset 2024-06 Part 3</p> <p>Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.</p>

opencc-by-sa-4.0Sep 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202406 - Part 2

<p>LENS dataset 2024-06 Part 2</p> <p>Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.</p>

opencc-by-sa-4.0Sep 2024View details →
zenodo36/100

LENS: A LEO Satellite Network Measurement Dataset - 202407 - Part 3

<p>LENS dataset 2024-07 Part 3</p> <p>Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.</p>

opencc-by-sa-4.0Sep 2024View details →

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Allen Brain Atlas

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allen-brain-atlas
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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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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
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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