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338 results for “gps”

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dryad32/100

Data from: Using GPS collars to investigate the frequency and behavioural outcomes of intraspecific interactions among carnivores: a case study of male cheetahs in the Maasai Mara, Kenya

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publicApr 2019View details →
dryad32/100

Data from: Performance and accuracy of lightweight and low-cost GPS data loggers according to antenna positions, fix intervals, habitats and animal movements

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publicJun 2016View details →
dryad32/100

Deer GPS and animal-borne camera data showing effects of gray wolves on niche overlap between mule and white-tailed deer in eastern Washington state

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publicJan 2022View details →
dryad32/100

Data from: GPS tracking and population genomics suggest itinerant breeding across drastically different habitats in the Phainopepla

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publicAug 2020View details →
dryad32/100

Data from: Modelling flight heights of lesser black-backed gulls and great skuas from GPS: a Bayesian approach

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publicJul 2017View details →
dryad32/100

GPS locations for mechanistic home range analysis reveals drivers of space use patterns for a non-territorial passerine

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publicJun 2020View details →
dryad32/100

Behavior and diet data collected from i) GPS video camera collars and ii) fecal samples collected from individuals from the Fortymile Caribou Herd

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publicNov 2022View details →
dryad32/100

Data from: Modeling GPS signal propagation through volcanic plumes

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publicApr 2021View details →
dryad32/100

Hare disturbance GPS data

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publicJul 2021View details →
dryad32/100

Data from: Combined use of GPS and accelerometry reveals fine scale three-dimensional foraging behaviour in the short-tailed shearwater

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publicSep 2016View details →
dryad32/100

Data from: Flying south: foraging locations of the Hutton’s shearwater (Puffinus huttoni) revealed by time-depth recorders and GPS tracking

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publicJun 2020View details →
dryad32/100

Westland petrel data combined GPS and accelerometer data 2016 & 2017

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publicNov 2020View details →
dryad32/100

Insights into short and long-term crop-foraging strategies in a chacma baboon (Papio ursinus) from GPS and accelerometer data

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publicNov 2021View details →
nasa32/100

SWOT 2019-2020 Prelaunch Oceanography Field Campaign JPL Global Positioning Systems (GPS)

This dataset provides the 1Hz time series of the sea surface height measured by a surface buoy equipped with a Global Position System (GPS). The GPS-mooring was deployed by the SWOT prelaunch field campaign conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The GPS measurements represent the total sea surface height including the Inverted barometer component. The same mooring also carries fixed-depth CTD sensors https://doi.org/10.5067/SWTPR-CTD11. They were used together with atmospheric pressure and bottom pressure measurements to close the sea surface equation (Wang et al., 2022). The campaign also deployed another two CTD moorings, a slocum glider, and a Pressure Inverted Echo Sounder (PIES). Details can be found in the user guide and the journal reference given in the documentation section.

restrictednotspecifiedApr 2025View details →
zenodo28/100

A New Frontier in Ionospheric Observations: GPS Total Electron Content Measurements from Ocean Buoys

<p>Ionospheric Total Electron Content (TEC) data from a pair of RIO GPS receivers that are deployed on National Oceanic and Atmospheric Administration (NOAA) Tropical Atmosphere Ocean (TAO) buoys in the Pacific Ocean. TEC measurements&nbsp;collected between September 1, 2018 and December 31, 2019 are included&nbsp;in these datasets.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 1 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570

Figure 1 INBO researcher Anny Anselin holding Peter (animal ID L143457), one of the tagged Western marsh harriers in the MH_WATERLAND dataset (tag ID 623).

opencc-by-4.0Jul 2020View details →
zenodo28/100

Figure 2 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570

Figure 2 Left: Map giving an overview of the extent of the three datasets including the winter migration tracks; top right: summering data in H_GRONINGEN; middle right: summering data of MH_WATERLAND; and bottom right: summering data in MH_ANTWERPEN.

opencc-by-4.0Jul 2020View details →
zenodo28/100

GPS 50 Hz data set for the case study. Part 2 (Version sbf)

<p>GPS 50 Hz data set for the case study entitled &quot;Comparison of TEC calculations based on Trimble, Javad, Leica and Septentrio GNSS receiver data&quot;. Part 2 (Septentrio dataset).</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Dataset accompanying article: On Linear and Circular Approach to GPS Data Processing: Analyses of the Horizontal Positioning Deviations Based on the Adriatic Region IGS Observables

<p>The dataset accompanies journal article: On Linear and Circular Approach to GPS Data Processing: Analyses of the Horizontal Positioning Deviations Based on the Adriatic Region IGS Observables published on 21 January 2021 in Data.&nbsp;&nbsp;</p> <p>SINEX, RINEX, position solution files, logs used for positional accuracy and deviation distribution of IGS observables and additional figures with results are included.&nbsp;Dataset covers period from 10th to 20th of March 2017.&nbsp;</p> <p>IGS SINEX combined weekly station position/velocity solutions were retrieved from&nbsp; the online archives of the Crustal Dynamics Data Information System (CDDIS), NASA Goddard Space Flight Center, Greenbelt, MD, USA, available at:&nbsp;ftp://cddis.nasa.gov/gnss/products/. Please note that from&nbsp;from October 31, 2020 anonymous ftp service has been discontinued. Access with examples is available via HTTPS or ftp-ssl from&nbsp;<a href="https://cddis.nasa.gov/Data_and_Derived_Products/CDDIS_Archive_Access.html">CDDIS Archive</a></p> <p>RINEX observation and navigation files were retrieved from IGS repository available at:&nbsp;ftp://igs.ign.fr/pub/igs/data/</p> <p>Position solution files were determined with&nbsp;<a href="https://github.com/tomojitakasu/RTKLIB_bin/">RTKLIB</a>: An Open Source Program Package for GNSS Positioning, version 2.4.3 b33 available</p> <p>Please cite respective sources accordingly.</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2020View details →
dryad28/100

Data from: Preferred gait and walk–run transition speeds in ostriches measured using GPS-IMU sensors

The ostrich (Struthio camelus) is widely appreciated as a fast and agile bipedal athlete, and is a useful comparative bipedal model for human locomotion. Here, we used GPS-IMU sensors to measure naturally selected gait dynamics of ostriches roaming freely over a wide range of speeds in an open field and developed a quantitative method for distinguishing walking and running using accelerometry. We compared freely selected gait–speed distributions with previous laboratory measures of gait dynamics and energetics. We also measured the walk–run and run–walk transition speeds and compared them with those reported for humans. We found that ostriches prefer to walk remarkably slowly, with a narrow walking speed distribution consistent with minimizing cost of transport (CoT) according to a rigid-legged walking model. The dimensionless speeds of the walk–run and run–walk transitions are slower than those observed in humans. Unlike humans, ostriches transition to a run well below the mechanical limit necessitating an aerial phase, as predicted by a compass-gait walking model. When running, ostriches use a broad speed distribution, consistent with previous observations that ostriches are relatively economical runners and have a flat curve for CoT against speed. In contrast, horses exhibit U-shaped curves for CoT against speed, with a narrow speed range within each gait for minimizing CoT. Overall, the gait dynamics of ostriches moving freely over natural terrain are consistent with previous lab-based measures of locomotion. Nonetheless, ostriches, like humans, exhibit a gait-transition hysteresis that is not explained by steady-state locomotor dynamics and energetics. Further study is required to understand the dynamics of gait transitions.

opencc-zeroDec 2015View 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