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148 results for “Telemetry”
Data from: Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data
The Brownie tag-recovery model is useful for estimating harvest rates but assumes all tagged individuals survive to the first hunting season; otherwise, mortality between time of tagging and the hunting season will cause the Brownie estimator to be negatively biased. Alternatively, fitting animals with radio transmitters can be used to accurately estimate harvest rate but may be more costly. We developed a joint model to estimate harvest and annual survival rates that combines known-fate data from animals fitted with transmitters to estimate the probability of surviving the period from capture to the first hunting season, and data from reward-tagged animals in a Brownie tag-recovery model. We evaluated bias and precision of the joint estimator, and how to optimally allocate effort between animals fitted with radio transmitters and inexpensive ear tags or leg bands. Tagging-to-harvest survival rates from >20 individuals with radio transmitters combined with 50–100 reward tags resulted in an unbiased and precise estimator of harvest rates. In addition, the joint model can test whether transmitters affect an individual's probability of being harvested. We illustrate application of the model using data from wild turkey, Meleagris gallapavo, to estimate harvest rates, and data from white-tailed deer, Odocoileus virginianus, to evaluate whether the presence of a visible radio transmitter is related to the probability of a deer being harvested. The joint known-fate tag-recovery model eliminates the requirement to capture and mark animals immediately prior to the hunting season to obtain accurate and precise estimates of harvest rate. In addition, the joint model can assess whether marking animals with radio transmitters affects the individual's probability of being harvested, caused by hunter selectivity or changes in a marked animal's behavior.
Data from: Linking GPS telemetry surveys and scat analyses helps explain variability in black bear foraging strategies
Studying diet is fundamental to animal ecology and scat analysis, a widespread approach, is considered a reliable dietary proxy. Nonetheless, this method has weaknesses such as non-random sampling of habitats and individuals, inaccurate evaluation of excretion date, and lack of assessment of inter-individual dietary variability. We coupled GPS telemetry and scat analyses of black bears Ursus americanus Pallas to relate diet to individual characteristics and habitat use patterns while foraging. We captured 20 black bears (6 males and 14 females) and fitted them with GPS/Argos collars. We then surveyed GPS locations shortly after individual bear visits and collected 139 feces in 71 different locations. Fecal content (relative dry matter biomass of ingested items) was subsequently linked to individual characteristics (sex, age, reproductive status) and to habitats visited during foraging bouts using Brownian bridges based on GPS locations prior to feces excretion. At the population level, diet composition was similar to what was previously described in studies on black bears. However, our individual-based method allowed us to highlight different intra-population patterns, showing that sex and female reproductive status had significant influence on individual diet. For example, in the same habitats, females with cubs did not use the same food sources as lone bears. Linking fecal content (i.e., food sources) to habitat previously visited by different individuals, we demonstrated a potential differential use of similar habitats dependent on individual characteristics. Females with cubs-of-the-year tended to use old forest clearcuts (6–20 years old) to feed on bunchberry, whereas females with yearling foraged for blueberry and lone bears for ants. Coupling GPS telemetry and scat analyses allows for efficient detection of inter-individual or inter-group variations in foraging strategies and of linkages between previous habitat use and food consumption, even for cryptic species. This approach could have interesting ecological implications, such as supporting the identification of habitats types abundant in important food sources for endangered species targeted by conservation measures or for management actions for depredating animals.
Data from: Evaluation of Argos telemetry accuracy in the High-Arctic and implications for the estimation of home-range size
Animal tracking through Argos satellite telemetry has enormous potential to test hypotheses in animal behavior, evolutionary ecology, or conservation biology. Yet the applicability of this technique cannot be fully assessed because no clear picture exists as to the conditions influencing the accuracy of Argos locations. Latitude, type of environment, and transmitter movement are among the main candidate factors affecting accuracy. A posteriori data filtering can remove "bad" locations, but again testing is still needed to refine filters. First, we evaluate experimentally the accuracy of Argos locations in a polar terrestrial environment (Nunavut, Canada), with both static and mobile transmitters transported by humans and coupled to GPS transmitters. We report static errors among the lowest published. However, the 68th error percentiles of mobile transmitters were 1.7 to 3.8 times greater than those of static transmitters. Second, we test how different filtering methods influence the quality of Argos location datasets. Accuracy of location datasets was best improved when filtering in locations of the best classes (LC3 and 2), while the Douglas Argos filter and a homemade speed filter yielded similar performance while retaining more locations. All filters effectively reduced the 68th error percentiles. Finally, we assess how location error impacted, at six spatial scales, two common estimators of home-range size (a proxy of animal space use behavior synthetizing movements), the minimum convex polygon and the fixed kernel estimator. Location error led to a sometimes dramatic overestimation of home-range size, especially at very local scales. We conclude that Argos telemetry is appropriate to study medium-size terrestrial animals in polar environments, but recommend that location errors are always measured and evaluated against research hypotheses, and that data are always filtered before analysis. How movement speed of transmitters affects location error needs additional research.
Data from: Evaluation of acoustic telemetry grids for determining aquatic animal movement and survival
1. Acoustic telemetry studies have frequently prioritized linear configurations of hydrophone receivers, such as perpendicular from shorelines or across rivers, to detect the presence of tagged aquatic animals. This approach introduces unknown bias when receivers are stationed for convenience at geographic bottlenecks (e.g., at the mouth of an embayment or between islands) as opposed to deployments following a statistical sampling design. 2. We evaluated two-dimensional acoustic receiver arrays (grids: receivers spread uniformly across space) as an alternative approach to provide estimates of survival, movement, and habitat use. Performance of variably-spaced receiver grids (5–25 km spacing) was evaluated by simulating (1) animal tracks as correlated random walks (speed: 0.1–0.9 m/s; turning angle standard deviation: 5–30 degrees); (2) variable tag transmission intervals along each track (nominal delay: 15–300 seconds); and (3) probability of detection of each transmission based on logistic detection range curves (midpoint: 200–1500 m). From simulations, we quantified i) time between successive detections on any receiver (detection time), ii) time between successive detections on different receivers (transit time), and iii) distance between successive detections on different receivers (transit distance). 3. In the most restrictive detection range scenario (200 m), the 95th percentile of transit time was 3.2 days at 5 km grid spacing, 5.7 days at 7 km, and 15.2 days at 25 km; for the 1500 m detection range scenario, it was 0.1 days at 5 km, 0.5 days at 7 km, and 10.8 days at 25 km. These values represented upper bounds on the expected maximum time that an animal could go undetected. Comparison of the simulations with pilot studies on three fishes (walleye Sander vitreus, common carp Cyprinus carpio, and channel catfish Ictalurus punctatus) from two independent large lake ecosystems (lakes Erie and Winnipeg) revealed shorter detection and transit times than what simulations predicted. 4. By spreading effort uniformly across space, grids can improve understanding of fish migration over the commonly employed receiver line approach, but at increased time cost for maintaining grids.
Data from: Combined genetic and telemetry data reveal high rates of gene flow, migration, and long-distance dispersal potential in Arctic ringed seals (Pusa hispida)
Ringed seals (Pusa hispida) are broadly distributed in seasonally ice covered seas, and their survival and reproductive success is intricately linked to sea ice and snow. Climatic warming is diminishing Arctic snow and sea ice and threatens to endanger ringed seals in the foreseeable future. We investigated the population structure and connectedness within and among three subspecies: Arctic (P. hispida hispida), Baltic (P. hispida botnica), and Lake Saimaa (P. hispida saimensis) ringed seals to assess their capacity to respond to rapid environmental changes. We consider (a) the geographical scale of migration, (b) use of sea ice, and (c) the amount of gene flow between subspecies. Seasonal movements and use of sea ice were determined for 27 seals tracked via satellite telemetry. Additionally, population genetic analyses were conducted using 354 seals representative of each subspecies and 11 breeding sites. Genetic analyses included sequences from two mitochondrial regions and genotypes of 9 microsatellite loci. We found that ringed seals disperse on a pan-Arctic scale and both males and females may migrate long distances during the summer months when sea ice extent is minimal. Gene flow among Arctic breeding sites and between the Arctic and the Baltic Sea subspecies was high; these two subspecies are interconnected as are breeding sites within the Arctic subspecies.
Data from: Satellite telemetry reveals higher fishing mortality rates than previously estimated, suggesting overfishing of an apex marine predator
Overfishing is a primary cause of population declines for many shark species of conservation concern. However, means of obtaining information on fishery interactions and mortality, necessary for the development of successful conservation strategies, are often fisheries-dependent and of questionable quality for many species of commercially exploited pelagic sharks. We used satellite telemetry as a fisheries-independent tool to document fisheries interactions, and quantify fishing mortality of the highly migratory shortfin mako shark (Isurus oxyrinchus) in the western North Atlantic Ocean. Forty satellite-tagged shortfin mako sharks tracked over 3 years entered the Exclusive Economic Zones of 19 countries and were harvested in fisheries of five countries, with 30% of tagged sharks harvested. Our tagging-derived estimates of instantaneous fishing mortality rates (F = 0.19–0.56) were 10-fold higher than previous estimates from fisheries-dependent data (approx. 0.015–0.024), suggesting data used in stock assessments may considerably underestimate fishing mortality. Additionally, our estimates of F were greater than those associated with maximum sustainable yield, suggesting a state of overfishing. This information has direct application to evaluations of stock status and for effective management of populations, and thus satellite tagging studies have potential to provide more accurate estimates of fishing mortality and survival than traditional fisheries-dependent methodology.
Data from: Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?
Accurately estimating contacts between animals can be critical in ecological studies such as examining social structure, predator–prey interactions or transmission of information and disease. While biotelemetry has been used successfully for such studies in terrestrial systems, it is still under development in the aquatic environment. Acoustic telemetry represents an attractive tool to investigate spatio-temporal behaviour of marine fish and has recently been suggested for monitoring underwater animal interactions. To evaluate the effectiveness of acoustic telemetry in recording interindividual contacts, we compared co-occurrence matrices deduced from three types of acoustic receivers varying in detection range in a benthic shark species. Our results demonstrate that (i) associations produced by acoustic receivers with a large detection range (i.e. Vemco VR2W) were significantly different from those produced by receivers with smaller ranges (i.e. Sonotronics miniSUR receivers and proximity loggers) and (ii) the position of individuals within their network, or centrality, also differed. These findings suggest that acoustic receivers with a large detection range may not be the best option to represent true social networks in the case of a benthic marine animal. While acoustic receivers are increasingly used by marine ecologists, we recommend users first evaluate the influence of detection range to depict accurate individual interactions before using these receivers for social or predator–prey studies. We also advocate for combining multiple receiver types depending on the ecological question being asked and the development of multi-sensor tags or testing of new automated proximity loggers, such as the Encounternet system, to improve the precision and accuracy of social and predator–prey interaction studies.
Beacon Telemetry Data from NCBR2
<p>Beacon telemetry data from NanoSatC-BR2. Launched on 22nd March 2021.</p>
Dataset from: Are we telling the same story? Comparing inferences made from camera trap and telemetry data for wildlife monitoring
<p>Estimating habitat and spatial associations for wildlife is common across ecological studies, and it is well known that individual traits can drive population dynamics and vice versa. Thus, it is commonly assumed that individual- and population-level data should represent the same underlying processes, but few studies have directly compared contemporaneous data representing these different perspectives. We evaluated the circumstances under which data collected from Lagrangian (individual-level) and Eulerian (population-level) perspectives could yield comparable inferences in an effort to understand how scalable information is from the individual to the population. We used Global Positioning System (GPS) collar (Lagrangian) and camera trap (Eularian) data for seven species collected simultaneously in eastern Washington (2018 – 2020) to compare inferences made from different survey perspectives. We fit the respective data streams to resource selection functions (RSFs) and occupancy models and compared estimated habitat- and space-use patterns for each species. Although previous studies have considered whether individual- and population-level data generated comparable information, ours is the first to make this comparison for multiple species simultaneously and to specifically ask whether inferences from the two perspectives differ depending on the focal species. We found general agreement between the predicted spatial distributions for most paired analyses, though specific habitat relationships differed. We hypothesized the discrepancies arose due to differences in statistical power associated with camera and GPS-collar sampling, as well as spatial mismatches in the data. Our research suggests data collected from individual-based sampling methods can capture coarse population-wide patterns for a diversity of species, but results differ when interpreting specific wildlife-habitat relationships.</p>
Acoustic positioning telemetry in a case study on the Albert Canal (Belgium): VPS and YAPS positions
<p><strong>Description</strong><br> This dataset contains data of an acoustic positioning telemetry study on the Albert canal, in a 200x150 m area directly upstream of the navigation lock complex of Kwaadmechelen, Belgium. European silver eels (<em>Anguilla anguilla</em>) and Atlantic salmon smolts (<em>Salmo salar</em>) were tagged with 69-kHz acoustic transmitters (Vemco, Halifax, NS) and detected by acoustic receivers attached at the canal walls and ship guiding structures of the navigation lock complex. The study comprises 3 deployments between 2015-11-25 and 2017-06-16. At the end of each deployment, receivers were offloaded and the detections were sent to Vemco for processing and calculation of the VPS positions. Additionally, we used the raw detection data to calculate positions by use of the YAPS algorithm.</p> <p><strong>Files</strong></p> <ul> <li><strong>metadata.csv</strong>: definitions for the fields in deployments.csv, receivers.csv, transmitters.csv, detections.csv, positions_vps.csv, positions_yaps.csv and gps_track.csv.</li> <li><strong>deployments.csv</strong>: Start and end date of the 3 deployments. At the end of each deployment, receivers were offloaded and the detections were sent to Vemco for processing and calculation of the VPS positions.</li> <li><strong>receivers.csv</strong>: Positions and specifications of the used receivers (VR2W and 1 VRT2-x). Receivers with short_id ST8 and ST8-2 have the same receiver_id because it concerns the same receiver deployed in another position (changed on 2017-04-05 08:47). The short_id denotes this position.</li> <li><strong>transmitters.csv:</strong> Specifications of the used transmitters. Position and start_date/end_date are only specified for fixed transmitters (i.e. reference-Rx and synchronisation-Sx transmitters). S8-2, S9-2 and R4 were added during the last deployment, and have therefore start dates that differ from deployment start dates. Synchronisation transmitters Sx were collocated with receivers with corresponding STx-id. S8 and S8-2 have the same transmitter_id because it concerns the same transmitter deployed in another position.</li> <li><strong>detections.csv</strong>: Raw receiver detections with millisecond time accuracy, needed to perform the YAPS positioning algorithm. The synchronised time was calculated from the original time by use of the synchronisation transmitters: JennaVergeynst. (2019, November 13). JennaVergeynst/time_synchronization: Code for time synchronisation of an acoustic positioning system (Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.3540681.</li> <li><strong>positions_vps.csv</strong>: Positions of fish, synchronisation and reference transmitters and test tracks from the Vemco Positioning System (VPS).</li> <li><strong>positions_yaps.csv</strong>: Positions of fish, synchronisation and reference transmitters and test tracks calculated with YAPS (Yet Another Positioning System): Baktoft, H., Gjelland, K. Ø., Økland, F., & Thygesen, U. H. (2017). Positioning of aquatic animals based on time‐of‐arrival and random walk models using YAPS (Yet Another Positioning Solver). Scientific Reports, 7(1), 14294. https://github.com/baktoft/yaps. The used code to prepare the synchronised detections as input data for YAPS, can be found on JennaVergeynst. (2019, November 13). JennaVergeynst/prepare_toa_for_yaps: Code to prepare TOA-data for YAPS (Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.3540683</li> <li><strong>gps_track.csv</strong>: GPS positions of 2 test tracks: a track on 4 August with transmitter 255 and 53429 and one on 5 August with transmitter 16200.</li> </ul>
Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 2/2)
<p>This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435.75 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. The header files are included in the dataset as .hdr files.</p> <p>After recording, the data was downsampled to 2.048 Msps 8-bit IQ to reduce the size, and formatted in <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py (contained in part 1/2).</p> <p>Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.</p> <p>This dataset is part 2/2. It contains a recording of the high rate telemetry signal. <a href="https://zenodo.org/records/14060729">Part 1/2</a> contains two recordings of the low rate telemetry signal.</p>
Decoded Artemis I Orion S-band telemetry frames recieved with the Allen Telescope Array on 2022-11-16
<p>This datasets contains the AOS Space Data Link frames obtained by decoding the Artemis I Orion Multipurpose Crewed Vehicle S-band telemetry signal at 2261.5 MHz using some IQ recordings done at the Allen Telescope Array on 2022-11-16, about 7 hours after launch.</p> <p>The 128-byte AOS frames are stored in raw binary files, which contain all the frames concatenated, with no headers or delimiters.</p> <p>The IQ recordings from which these frames have been decoded can be found in the datasets Recording of Artemis I Orion with the <a href="https://zenodo.org/record/7395644">Allen Telescope Array on 2022-11-16 (part 1/2)</a> and <a href="https://zenodo.org/record/7396606">Recording of Artemis I Orion with the Allen Telescope Array on 2022-11-16 (part 2/2)</a>.</p>
JUICE telemetry frames decoded from an Allen Telescope Array recording on 2023-04-15
<p>This dataset contains the TM Space Data Link frames from the ESA spacecraft JUICE (Jupiter Icy Moons Explorer), decoded from the IQ recording in datsets <a href="https://zenodo.org/record/7856893">Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 1a)</a> and <a href="https://zenodo.org/record/7856895">Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 5c)</a>.</p> <p>The frames are stored back-to-back with no metadata or delimiters in a binary file. Each frame is 1113 bytes long. The Frame Error Control Field (FECF, CRC-16) has been checked and removed by the decoder (only frames with valid CRC-16 are present in the file, but there are a few frames corresponding to false decodes).</p>
Data from: Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?
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Data from: Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data
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Data from: Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture recapture data
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Data from: Assessing the spatial ecology and resource use of a mobile and endangered species in an urbanized landscape using satellite telemetry and DNA faecal metabarcoding
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Data from: Harvest selection on multiple traits in the wild revealed by aquatic animal telemetry
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Data from: Linking GPS telemetry surveys and scat analyses helps explain variability in black bear foraging strategies
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Locating large insects using automated VHF radio telemetry with a multi-antennae array
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.
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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.
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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.