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49 results for “gps tracking”

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zenodo52/100

Unverified GPS track of R/V Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017.

<p><strong>Dataset abstract</strong></p> <p>A Trimble Global Positioning System (GPS) recorded the route undertaken by the R/V Akademik Tryoshnikov during a circumnavigation of the Antarctic as part of the Antarctic Circumnavigation Expedition (ACE) in the austral summer of 2016/2017. The data provided in this dataset are raw NMEA strings containing date, time, latitude and longitude, with other NMEA variables allowing the accuracy of the location to be ascertained with one-second resolution.</p> <p>The data have not been quality checked or corrected.</p> <p>Data coverage is from 21st December 2016 until 11th April 2017.</p> <p><strong>Dataset contents </strong></p> <ul> <li>gpsdata_YYYYMMDD.log, data file, text</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p>Data files include the date (in UTC) on which the data were recorded in the format YYYYMMDD.</p> <p><strong>Dataset license</strong></p> <p>This unverified GPS track dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>

opencc-by-4.0Aug 2019View details →
edi48/100

American alligator GPS tracking study from May 2008 to September 2010 on Sapelo Island, Georgia

We deployed GPS tracking units on seven adult American alligators (two females and five males), for periods ranging from 34 to 100 days from May 2008 to September 2010 on Sapelo Island, Georgia. GPS units were set to record the location of tracked alligators every 1.5 to 2 hours. GPS data were then downloaded and tracks analyzed using GIS software after recapture.

openCC (other)Jan 2020View details →
zenodo44/100

Data and Code for "Extracting reproductive parameters from GPS tracking data for a nesting raptor in Europe"

<p>Understanding population dynamics requires estimation of demographic parameters. We build on existing approaches to develop a new tool that uses GPS tracking data to estimate breeding propensity and breeding success, and show that this tool yielded accurate predictions for two red kite populations in Central Europe. The tool is available as an R package at <a href="https://github.com/Vogelwarte/NestTool">https://github.com/Vogelwarte/NestTool</a> and will facilitate the estimation of demographic parameters from tracking data to inform population assessments. The files in this repository contain the data and analytical code to replicate the results of the publication in the Journal of Avian Biology (DOI: 10.1111/jav.03246). The version contained in this repository does not include updates and improvements that occurred after the 29 August 2024.</p>

opencc-by-4.0Sep 2024View details →
zenodo44/100

25 years of high-frequency ground penetrating radar measurements of snow studies in Svalbard - metadata and GPS tracks

<p><strong>Surveys by ground penetrating radar (GPR) are accurate and cost-efficient, and have been conducted on Svalbard for more than 25 years, thus permitting the assessment of long term changes.&nbsp;The campaigns so far have covered various areas and the data is dispersed. The purpose of this report is to collect information about the conducted GPR snow cover measurements. The activities initiated in this project will be continued in the coming years and extended with a comprehensive data analysis.</strong></p> <p><strong>The dataset includes a description of metadata from GPR snow cover measurements in 1997-2022 (.CSV file) and GPS traces (.SHP files) of measurements taken&nbsp;in Svalbard.</strong></p> <p><strong>This study is part of the State of Environmental Science in Svalbard Report 2022 published by Svalbard Integrated Arctic Earth Observing System (SIOS).</strong></p>

opencc-by-4.0Jul 2022View details →
dryad40/100

Remote sensing and GPS tracking reveal temporal shifts in habitat use in nonbreeding Black-tailed Godwits

Open the record for dataset details and reuse information.

publicOct 2024View details →
zenodo36/100

Analysis of migration patterns of western marsh harriers using GPS tracking data

<p>This repository contains analysis code for&nbsp;Vansteelant et al. (2020, <a href="https://doi.org/10.1007/s10336-020-01785-6">https://doi.org/10.1007/s10336-020-01785-6</a>). See the <code>README.md</code> for more information.</p>

openmit-licenseSep 2020View details →
dryad36/100

GPS tracking data for: Male mating season range expansion results from an increase in scale of daily movements for a polygynous-promiscuous bird

<p>Males of species with promiscuous mating systems are commonly observed to use larger ranges during the mating season relative to non-mating seasons, which is often attributed to a change in movements related to reproductive activities. However, few studies link seasonal range sizes to variations in daily space use patterns to provide insight into the behavioral mechanisms underlying mating season range expansion. We studied 20 GPS-tagged male wild turkeys (<em>Meleagris gallopavo</em>), a large upland gamebird, during the mating and summer non-mating seasons to test the hypothesis that larger mating season ranges resulted from male wild turkeys expanding the scale of daily movement activities to locate and court females. We delineated mating and non-mating seasons based on the intensity of gobbling, a vocalization tied to courtship behavior, recorded by autonomous recording units distributed across the study area. Mating season ranges were significantly larger than non-mating season ranges. Daily ranges were larger in the mating season, as were distances between roost sites used on consecutive nights. Variance in daily range size was greater in the mating season, but low temporal autocorrelation suggested considerable daily variability in both seasons. We found no evidence that male wild turkeys changed how they distributed daily movements within seasonal ranges, or differences in habitat use, suggesting larger mating season ranges result from male wild turkeys increasing the scale of their daily movements, rather than a systematic shift to a nomadic movement strategy. Likely, the distribution of females is more dynamic and ephemeral compared to other resources, prompting males to traverse larger daily ranges during the mating season to locate and court females. Our work illustrates the utility of using daily movement to understand the behavioral process underlying larger space use patterns.</p>

opencc-zeroApr 2024View details →
zenodo36/100

Data for: Simultaneous GPS-tracking of parents reveals a similar parental investment within pairs, but no immediate co-adjustment on a trip-to-trip basis

<p>This repository contains data for the paper: Kavelaars et al. 2021. Simultaneous GPS-tracking of parents reveals a similar parental investment within pairs, but no immediate co-adjustment on a trip-to-trip basis.&nbsp;<strong>Movement Ecology</strong>.&nbsp;https://doi.org/10.1186/s40462-021-00279-1</p>

opencc-by-4.0Aug 2021View details →
dryad36/100

Wind effects on the long-distance migration of GPS-tracked adult ospreys (Pandion haliaetus) from Germany

<p>Birds that repeatedly visit distinct places along their migratory routes in consecutive years must be able to navigate to these places and respond appropriately to unfavourable wind conditions. This study analysed the migratory routes, repeatedly-visited areas, and responses to sidewinds of 15 GPS-tracked adult ospreys (<em>Pandion</em> <em>haliaetus</em>) from northeast Germany migrating to their wintering sites in Africa and back. We determined stopovers and intermediate goal areas and performed repeatability estimations on timing and migratory paths in four regions. The orientation behaviour of the ospreys was analysed with regard to perpendicular wind components at each GPS point during autumn and spring migrations. Generalised linear mixed models were used to test the dependence of orientation behaviour on region and the distance to the next goal. The findings showed that ospreys demonstrate high fidelity to migratory paths in autumn and spring, as well as to the timing of migration in autumn; and sidewinds are predominantly compensated, especially when sidewinds are strong. Furthermore, during autumn migration, the proportion of compensation increases in most regions with decreasing distances to the next goal; however, during spring migration, drift behaviour was detected more often at smaller distances to the next goal than at higher distances in the regions of Mediterranean and Central Europe. In general, ospreys compensate for unfavourable sidewinds and utilise supporting tailwinds on their journeys to the wintering sites in Africa and back to Central Europe.</p>

opencc-zeroDec 2022View details →
dryad36/100

Tracking marine tetrapod carcasses using a low-cost mixed methodology with GPS trackers, passive drifters, and citizen science

<div> <ol> <li> <span><span>Drift experiments are essential to understand stranding patterns and to estimate the mortality of beached animals.</span><span> Most studies do not use telemetry technology due to the high costs of this methodology. </span></span><span><span>The objective of this paper is to describe the possibilities of tracking marine tetrapod carcasses with a low-cost and replicable methodology.</span> <span>The study was conducted </span></span><span><span>in the Southern Subtropical Shelf (~ 28º–34º S), </span><span>a highly productive and key ecological </span><span>region of the southwestern Atlantic Ocean (SWA).</span></span><span> </span> </li> <li> <p><span><span>W</span></span><span><span>e designed and tested a low-cost mixed methodology including </span><span>Global Positioning System </span><span>trackers, passive drifters (reused glass bottles), and Citizen Science (through instant message platform and email) for tracking carcasses of marine </span><span>tetrapods</span><span>. We performed four drift experiments, </span><span>during the</span><span> four seasons </span><span>of</span><span> 2019</span><span>.</span> </span><span><span>We released 787 drifters (600 non-biological and 187 carcasses</span><span> of seabirds, </span><span>sea turtles</span><span>, and cetaceans</span><span>)</span></span><span><span> at sea, at five</span><span> equally</span> <span>separated </span><span>distances (5</span><span>–</span><span>25 km) from the coast.</span> <span>Beach surveys and Citizen Science were implemented to </span><span>recover </span><span>the beached drifters.</span></span></p> </li> <li> <p><span><span>We</span><span> re</span><span>covered </span><span>71.83% of non-biological </span><span>and 27.27% of carcasses </span><span>released</span><span>. We tracked the movements of 38 carcasses </span><span>(25 sea turtles and 13 </span><span>cetaceans</span><span>) with 17 GPS devices. The drift</span><span>ing</span><span> time</span><span>,</span><span> until reaching the beach</span><span>,</span><span> ranged from 12h to 17 days</span><span> for carcasses and 12h to 406 days for bottles</span><span>. </span></span><span><span>Citizen Science was the most important source of rec</span><span>overies </span><span>of non-biological drifters, representing 66.67% of the total bottles rec</span><span>ove</span><span>r</span><span>ed</span><span>.</span> <span>For carcasses, active search was the most important recovery source, representing 64.7% of the total carcasses</span><span> recovered</span><span>.</span></span></p> </li> <li> <p><span>Our study contributes with new findings about drift patterns of marine tetrapods in the SWA and describes an accessible low-cost mixed methodology for small and medium-budget projects that can be </span><span>replicated in other coastal regions of the world for tracking a wide range of marine tetrapod species.</span></p> </li> </ol> </div>

opencc-zeroMay 2023View details →
dryad36/100

A glimpse into the foraging and movement behavior of Nyctalus aviator: a complementary study by acoustic recording and GPS tracking

<p>Species of open-space bats that are relatively large, such as bats from the genus <em>Nyctalus</em>, are considered as high-risk species for collisions with wind turbines. However, important information on their behavior and movement ecology, such as the locations and altitudes at which they forage, is still fragmentary, while crucial for their conservation in light of the increasing threat posed by progressing wind turbine construction. We adopted two different methods of microphone array recordings and GPS-tracking capturing data from different spatio-temporal scales in order to gain a complementary understanding of the echolocation and movement ecology of <em>Nyctalus aviator</em>, the largest open-space bat in Japan. Based on microphone-array recordings, we found that echolocation calls during natural foraging are adapted for fast-flight in open space optimal for aerial-hawing. In addition, we attached a GPS tag that can simultaneously monitor feeding buzz occurrence and confirmed that foraging occurred at 300 m altitude and that the flight altitude in mountainous areas is consistent with the turbine conflict zone. Thus, our acoustic GPS survey clearly identified<em> N. aviator</em> as a high-risk species in Japan.</p>

opencc-zeroJun 2023View details →
dryad36/100

GPS and activity data from wild boars tracked in Southern France

<p><span>Many animals living in anthropized landscapes try to avoid encountering people by being active at night. By doing so, however, they risk being disturbed while at rest during the day. To mitigate this risk, diurnally resting species may be highly selective about where they rest. Here, we used GPS and activity sensors to study how wild boars </span><span>(<em>Sus scrofa</em>) might </span><span>adjust their resting site selection and revisitation patterns to the risk of disturbance by people. </span><span>We </span><span>evaluated the probability of daytime relocation to</span><span> assess the efficacy of wild boars' resting strategy in reducing</span><span> the risk of human encounter while at rest. We attempted to identify the cause of some relocations using audio recordings. Generally, we found that wild boars did not specifically avoid resting near villages or roads, i.e. where the risk of encountering people is higher, if they could find sites with suitable vegetation cover. The risk of disturbance by people was low, even near villages. Resting sites located close to villages were visited more repeatedly than those located further away, suggesting that focusing on a few familiar and quiet resting sites was a successful strategy for resting undisturbed in an anthropized landscape.</span></p>

opencc-zeroJul 2023View details →
dryad36/100

GPS and activity data from wild boars tracked in Southern France

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publicJan 2024View details →
dryad36/100

Argos and GPS data for a polar bear track

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publicMar 2021View details →
dryad36/100

Tracking marine tetrapod carcasses using a low-cost mixed methodology with GPS trackers, passive drifters, and citizen science

Open the record for dataset details and reuse information.

publicMay 2023View details →
dryad36/100

Data for: The spatial consistency and repeatability of migratory flight routes and stationary sites of individual European nightjars based on multiannual GPS tracks

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publicDec 2025View details →
dryad36/100

A glimpse into the foraging and movement behavior of Nyctalus aviator: a complementary study by acoustic recording and GPS tracking

Open the record for dataset details and reuse information.

publicJun 2023View details →
dryad36/100

GPS tracking data for: Male mating season range expansion results from an increase in scale of daily movements for a polygynous-promiscuous bird

Open the record for dataset details and reuse information.

publicApr 2024View details →
dryad36/100

Population census and GPS tracking data for Mexican long-nosed bats (Leptonycteris nivalis) in Texas

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publicJul 2025View details →
dryad36/100

Drought-driven foraging adjustments in breeding white storks (<em>Ciconia ciconia</em>): GPS tracking insights from two French marshes

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publicDec 2025View details →

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dandi-nwb
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International Brain Laboratory public data

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