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148 results for “Telemetry”
Where did the finch go? Insights from radio telemetry of the medium ground finch (Geospiza fortis)
Open the record for dataset details and reuse information.
Landscape composition and life‐history traits influence bat movement and space use: Analysis of 30 years of published telemetry data
Open the record for dataset details and reuse information.
BY70-2 UHF telemetry beacon IQ recording 2020-07-12
<p>This is a recording the UHF beacon of the satellite BY70-02 (also known as BY02). The satellite transmits a beacon every 35 seconds at a frequency of 436.200 MHz. The recording was made on 2020-07-12 11:39:50 UTC from Tres Cantos (Madrid), Spain (approximately latitude 40.595865ºN, longitude 3.699069ºW).</p> <p>The recording has been made using an Arrow 7 element yagi and a FUNcube Dongle Pro+ connected to the antenna via a 1m coaxial cable run. The antenna was always held in the horizontal polarization (with respect to the local horizon) and aimed by hand.</p> <p>The recording is in the RAW format used by the Linrad software. This consists of a 41 byte header followed by the stream of IQ samples as little endian 16 bit signed integers. The sample rate is 192ksps and the centre frequency 436.152kHz, so that the signal of interest is at 48kHz within the passband.</p> <p>Doppler correction has been applied using the TLE</p> <p>1 45857U 20042B 20193.85379087 .00000513 00000-0 81606-4 0 9993<br> 2 45857 98.0133 266.8074 0010022 223.4288 136.6116 14.76202005 1284</p>
Inferring individual fate from aquatic acoustic telemetry data
<ol> <li>Acoustic telemetry has become a popular means of obtaining individual behavioural data from a wide array of species in marine and freshwater systems. Fate information is crucial to understand important aspects of population dynamics such as mortality, predation or dispersal rates.</li> <li>Here we present a method to infer individual fate from acoustic telemetry arrays of receivers with overlapping detection ranges. Our method depends exclusively on information on animal movements and the characteristics and configuration of the telemetry equipment. By answering a limited number of simple questions, our method identifies six different fates: tagging mortality, natural mortality, fishing mortality, predation, dispersal and survival.</li> <li>Applying the method to a cod telemetry dataset, we were able to determine fate for 97% of the individuals. We validate the results using several external sources of information, such as recaptures from fishers and control fish with known fate.</li> <li>The method is readily applicable to a wide array of species with minimal adjustments, expanding the range of hypotheses that can be tested using telemetry data.</li> </ol>
Data from: UAV wildlife radio telemetry: system and methods of localization
1. The majority of bird and bat species are incapable of carrying tags that transmit their position to satellites. Given fundamental power requirements for such communication, burdened mass guidelines, and battery technology, this constraint necessitates the continued use of very high frequency (VHF) radio beacons. As such, efforts should be made to mitigate their primary deficiencies: detection range, localization time, and localization accuracy. 2. The integration of a radio telemetry system with an unmanned aerial vehicle (UAV) could significantly improve the capacity for data collection from VHF tags. We present a UAV-integrated radio telemetry system that relies on open source hardware and software. Localization methods including signal processing, bearing estimation based on principal component analysis, localization techniques, and test results are discussed. 3. Using a low power beacon applicable for bats and small birds, testing showed that the improved vantage of the UAV-radio telemetry system (UAV-RT) provided significantly higher received signal power compared to low level flights (maximum range beyond 1.4 km). Flight testing of localization methods showed median bearing errors between 2.3-6.8 degrees, with localization errors of between 5-14% of the distance to the tag. In a direct comparison to an experienced radio telemetry user, the UAV-RT system provided bearing and localization estimates with 53% less error. 4. This paper introduces the core functionality and use methods of the UAV-RT system, while presenting baseline localization performance metrics. An associated website hosts plans for assembly and software installation. The methods of UAV-RT use for tag detection will be further developed in future works. For both the detection and localization problems, the mobility of a flying asset drastically reduces tracker time requirements. A seven-minute flight would be sufficient to collect five equally spaced bearing estimates over a 1 km transect. The use of a software defined radio on the UAV-RT system will allow for the simultaneous detection and localization of multiple tags.
Comparing distribution of harbour porpoises (Phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
<p>Data used for publication in Plos One. Two excel files. The satellite_filtered_data is the filtered satellite positions used for MaxEnt modelling in R. The CPOD_data_PPH is the raw C-POD data expressed here as porpoises positive hours (PPH) and can easily be converted to porpoise positive days (PPD).</p>
Telemetry data from: Realized thermal niche approach eliminates temperature bias in 3 bioenergetic model estimates
<h4>Raw data for Ivanova et al paper in Ecology and Evolution</h4><p>Datafile is an .rds file.</p>
Estimating Usage Of Open Source Projects - Flutter Telemetry Case Study - MSR' 24
<p>This dataset (CSV) was assembled to support analysis within a case study that will be published in the proceedings of the <a href="https://conf.researchr.org/home/msr-2024">Mining Software Repositories</a> conference (MSR ‘24) April 14-15 2024: <a title="Estimating Usage Of Open Source Projects" href="https://doi.org/10.1145/3643991.3645066">Estimating Usage Of Open Source Projects.</a></p> <p>This case study explored whether publicly available metrics could serve as proxies to estimate usage of an open source project. Using the <a href="https://flutter.dev/">Flutter</a> project as our case study, we collected monthly proxy metrics from GitHub, StackOverflow and Slack to compare with Flutter’s monthly active user count over the same time period: January 2018 through February 2021.</p> <p>All metrics correspond to the last day of the month and/or represent aggregate activity in that month. Data from GitHub shows aggregate activity counts across the entire <a href="https://github.com/flutter">Flutter GitHub organization</a> (up to 33 repositories). </p> <p>Our specific metrics include:</p> <div> <table> <tbody> <tr> <td> <p>Source</p> </td> <td> <p>Metric</p> </td> <td> <p>Aggregation method</p> </td> <td> <p>Details</p> </td> </tr> <tr> <td> <p>Flutter</p> </td> <td> <p>Monthly Active Users (MAU)</p> </td> <td> <p>Google internal tooling</p> </td> <td> <p>Flutter users active in the last 30 days, collected on the last day of each month</p> </td> </tr> <tr> <td> <p>GitHub</p> </td> <td> <p>PullRequest Authors in month</p> </td> <td> <p><a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a>, hosted by <a href="http://bitergia.com">bitergia.com</a></p> </td> <td> <p>As Google governs changes to this code base, we excluded known Google employees in code change related metrics </p> </td> </tr> <tr> <td> <p>GitHub</p> </td> <td> <p>Issues Created in month</p> </td> <td> <p><a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a>, hosted by <a href="http://bitergia.com">bitergia.com</a></p> </td> <td> </td> </tr> <tr> <td> <p>GitHub</p> </td> <td> <p>Issue Authors in month</p> </td> <td> <p><a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a>, hosted by <a href="http://bitergia.com">bitergia.com</a></p> </td> <td> </td> </tr> <tr> <td> <p>GitHub</p> </td> <td> <p>Fork events in month</p> </td> <td> <p><a href="http://gharchive.org">gharchive.org</a></p> </td> <td> </td> </tr> <tr> <td> <p>GitHub</p> </td> <td> <p>Fork cumulative count at the end of month</p> </td> <td> <p><a href="http://gharchive.org">gharchive.org</a></p> </td> <td> </td> </tr> <tr> <td> <p>StackOverflow</p> </td> <td> <p>Question Authors in month</p> </td> <td> <p><a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a>, hosted by <a href="http://bitergia.com">bitergia.com</a></p> </td> <td> </td> </tr> <tr> <td> <p>StackOverflow</p> </td> <td> <p>Questions in month</p> </td> <td> <p><a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a>, hosted by <a href="http://bitergia.com">bitergia.com</a></p> </td> <td> </td> </tr> <tr> <td> <p>Slack</p> </td> <td> <p>Claimed (cumulative) members at the end of the month</p> </td> <td> <p>fluttercommunity.slack</p> </td> <td> </td> </tr> <tr> <td> <p>Slack</p> </td> <td> <p>Cumulative messages at the end of the month</p> </td> <td> <p>fluttercommunity.slack</p> </td> <td> </td> </tr> </tbody> </table> </div> <p>Tools: </p> <ul> <li> <p>We used an instance of <a href="https://chaoss.github.io/grimoirelab/">GrimoireLab</a> hosted by <a href="https://bitergia.com/">Bitergia</a> to aggregate GitHub PullRequest Authors, GitHub Issue Authors, GitHub Issues, across all repositories under the Flutter Organization, and StackOverflow Question Authors, and StackOverflow Questions for questions that mention Flutter. We used the <a href="http://github.com/chaoss/grimoirelab-sortinghat">Sorting Hat</a> of feature GrimoireLab to identify Google employees in this sample.</p> </li> </ul> <ul> <li> <p><a href="http://gharchive.org">GHArchive</a> via <a href="https://cloud.google.com/blog/topics/public-datasets/github-on-bigquery-analyze-all-the-open-source-code">BigQuery</a> was used to count GitHub Star and Fork events across all repositories under the Flutter Organization</p> </li> <li> <p>We pulled Slack activity directly from <a href="http://fluttercommunity.slack.com">Flutter's slack channel </a>dashboard</p> </li> </ul>
Visualizing Workflows with the Dragon Telemetry Service
<p>The Dragon telemetry service is an easy-to-use, scalable means for users to visualize both hardware and custom metrics for complex workflows. Dragon is a high-performance distributed runtime for managing processes and data at-scale. It utilizes high-performance communication objects to enable efficient and transparent management of memory and movement of data. We demonstrate the use of the telemetry service for a multi-language AI-in-the-loop workflow where both built-in hardware metrics and custom user metrics are visualized in a Grafana dashboard.</p>
Data from: Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p><span><b>Aim: </b>Animal movement determines home range patterns, which in turn affect individual fitness, population dynamics and ecosystem functioning. Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data.</span></p> <p><span><b>Location</b>: Northern America and Europe.</span></p> <p><span><b>Time period</b>: 1988 – 2016.</span></p> <p><span><b>Major taxa studied</b>: Bats.</span></p> <p><span><b>Methods</b>: We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of the 165 studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</span></p> <p><span><b>Results:</b><i> </i>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</span></p> <p><span><b>Main conclusions: </b>Promoting bat movements through the landscape surrounding roosts at large spatial scales is crucial for bat conservation. Forest loss and overall landscape homogenization lead temperate bats to fly farther to meet their ecological requirements, by increasing home range sizes and daily foraging distances. Both processes might be more detrimental for smaller, habitat-specialized bats, less able to travel increasingly longer distances to meet their diverse needs.</span></p>
Satellite telemetry data for Egyptian Geese in southern Africa
<p>This archive contains all currently available satellite GPS telemetry data for Egyptian Geese in southern Africa over the period from 2008 to 2016. The data were collected with two primary aims: (1) to understand the movement ecology of this species; (2) to better evaluate the potential role of Egyptian Geese in spreading avian influenza in southern Africa. Data colelction was undertaken in several phases. The first phase focused on just three sites (Manyame, Barberspan, Strandfontein) and occurred at the same time as a series of extensive bird counts and captures. Birds captured during this period were tested for avian influenza. We also undertook an extensive colour-ringing exercise on Egyptian Geese during the first phase. The second phase of the program involved extending our activities to some new locations (Voelvlei, Jozini) to test specific hypotheses about movement and the timing of moult, and to improve the generality of our findings. The third phase involved a translocation experiment in which six birds were moved from Barberspan to Strandfontein. The data have been analysed and published in a number of different venues and publications, as listed in the associated metadata.</p>
Sacramento River green sturgeon acoustic telemetry detections
<p><span>Abstract for publication titled:</span><span> Intraspecific variation in migration timing of green sturgeon in the Sacramento River system</span></p> <p><span>Understanding movement patterns of anadromous fishes is critical to conservation management of declining wild populations and preservation of habitats. Yet, the duration of observations for individual animals can constrain accurate descriptions of movements. In this study, we synthesized over a decade (2006-2018) of acoustic telemetry tracking observations of green sturgeon (<em>Acipenser medirostris</em>) in the Sacramento River system to describe major anadromous movement patterns. We observed that green sturgeon exhibited a unimodal in-migration during the spring months but had a bimodal distribution of out-migration timing, split between an 'early' out-migration (32%) group during May - June, or alternatively, holding in the river until a 'late' out-migration (68%), November - January. Focusing on these out-migration groups, we found that river discharge, but not water temperature, may cue the timing of migration, and that fish showed a tendency to maintain out-migration timing between subsequent spawning migration events. We recommend that life history descriptions of green sturgeon in this region reflect the distinct out-migration periods described here. Furthermore, we encourage the continued use of biotelemetry to describe migration timing and life history variation, not only this population but other green sturgeon populations and other species.</span></p>
Satellite telemetry data of Double-crested cormorant locations
<p>Avian migrants are challenged by seasonal adverse climatic conditions and energetic costs of long-distance flying. Migratory birds may track or switch seasonal climatic niche between the breeding and non-breeding grounds. Satellite tracking enables avian ecologists to investigate seasonal climatic niche and circannual movement patterns of migratory birds. The Double-crested Cormorant (<em>Nannopterum auritum</em>, hereafter cormorant) wintering in the Gulf of Mexico (GOM) migrate to the Northern Great Plains and Great Lakes and is of economic importance because of its impacts on aquaculture. We tested the climatic niche switching hypothesis that cormorants would switch climatic niche between summer and winter because of substantial differences in climate between the non-breeding grounds in the subtropical region and breeding grounds in northern temperate region. The ordination analysis of climatic niche overlap indicated that cormorants had separate seasonal climatic niche consisting of seasonal mean monthly minimum and maximum temperature, seasonal mean monthly precipitation, and seasonal mean wind speed. Despite non-overlapping summer and winter climatic niches, cormorants appeared to be subjected to similar wind speed between winter and summer habitats and were consistent with similar hourly flying speed between winter and summer. Therefore, substantial differences in temperature and precipitation may lead to the climatic niche switching of fish-eating cormorants, a dietary specialist, between the breeding and non-breeding grounds. </p>
RF recording of Vega-C MEO cubesats 436 MHz telemetry beacons
<p>This dataset contains an IQ recording of the 436 MHz telemetry signals of four of the MEO cubesats launched in the Vega-C maiden flight on 2022-07-13: CELESTA, MTCube2, Greencube and AstroBio Cubesat. The recording was done on 2022-07-24 from 40.5958º N, 3.6991º W, 800 m ASL, near Madrid (Spain). This is a urban location, so the RFI is quite high.</p> <p>A 7 element yagi antenna built by Arrow and a USRP B205mini were used. The antenna was held on a tripod and aimed manually. The antenna polarization was horizontal with respect to the local horizon (parallactic angle rotation should be taken into account to derive the sky polarization). It was connected to the SDR with a short (~1 metre) piece of coaxial cable.</p> <p>The signals have rather low SNR, due to the high RFI and the small antenna used. Weak packets from CELESTA and very weak long bursts from Greencube can be seen. Signals from MTCube2 and AstroBio were not detected.</p> <p>The USRP digitized at 4 Msps IQ with a centre frequency of 436.52 MHz. A GNU Radio flowgraph was used for Doppler correction and channelization. A channel of 40 ksps IQ was recorded around the nominal frequency of each satellite. Two different channels were used for AstroBio Cubesat, due to the uncertainty in its transmit frequency caused by a reset of the satellite's radio to factory settings. Each channel is given in a different file, identified by the name of the corresponding satellite.</p> <p>The recordings of the satellites are contained in the files identified as 2022-07-24T18_47_38. The files with later timestamps (2022-07-24T19_25_49 and 2022-07-24T19_29_02) are short recordings of a CW carrier injected into the receiver for absolute amplitude calibration.</p> <p>The data was recorded using <a href="https://wiki.gnuradio.org/index.php/File_Meta_Sink">GNU Radio metadata format</a> with detached headers and converted to <a href="https://github.com/gnuradio/SigMF">SigMF format</a> in postprocessing. The detached headers of the GNU Radio metadata format are provided with the .hdr extension.</p> <p>The Doppler correction files are also included in this dataset. These are text files that contain tabulated timestamps in seconds of UNIX time and Doppler frequency in Hz. They were generated using the TLEs from Celestrak and the Skyfield Python library.</p> <p>More information about this recording, including the details of the absolute amplitude calibration, can be found in the post "<a href="https://destevez.net/2022/07/trying-to-observe-the-vega-c-meo-cubesats/">Trying to observe the Vega-C MEO cubesats</a>" by the author.</p>
Code and data for "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes"
<p><strong>Overview</strong></p> <p>Code and data used for the analyses of Stone et al., 2024 "Comparing cost-effectiveness of radio and drone telemetry with playback surveys for assessing translocation outcomes". Forthcoming in Journal of Applied Ecology</p> <p><strong>Abstract</strong></p> <p>1. Post-release monitoring is critical for assessing translocation outcomes. Yet the quality of information gained from monitoring can vary greatly, and perceived monitoring costs often results in reduced monitoring effort. Selecting cost-effective monitoring strategies that provide high quality data is therefore important for assessing translocation outcomes and making informed management decisions. <br>2. To compare how monitoring strategy affects information gained, we monitored a toutouwai/North Island robin (Petroica longipes) reintroduction in Aotearoa New Zealand, based on monitoring objectives of determining survival, site fidelity and whether the extent of management was large enough to protect dispersing individuals. We compared how these objectives were met through four monitoring strategies: 1) comprehensive surveys with ground radio telemetry and playback; 2) aerial drone telemetry; 3) dedicated playback by trained surveyors and 4) opportunistic playback by predator control contractors. We undertook a viewshed analysis to determine search coverage of each strategy and compared detection rates, efficiency, and cost. <br>3. Comprehensive ground telemetry and playback, while costly, covered the largest area and provided the most accurate data on dispersal, survival and the translocation outcome. In comparison, opportunistic playback monitoring detected substantially fewer individuals, giving a false impression of low site fidelity and survival and a failed translocation. Although drone telemetry had considerable site-specific limitations, which limited its effectiveness during our study, it was the most cost-effective with a high detection rate and low search effort. <br>4. Synthesis and applications: Our study shows the value of intensive monitoring in facilitating management decisions for wildlife translocations. Comprehensive telemetry and playback, while costly, were invaluable for gaining high quality information on the translocation outcome. Without suitable monitoring, reintroduction outcomes can be difficult to assess and potentially result in unnecessary, ineffective, or overly expensive management actions. We recommend that monitoring intensity and methodology should reflect the site, species and level of uncertainty regarding the translocation outcome. Prioritising monitoring can help reduce long-term costs, increase quality of information gained and allow for more informed management decisions that can improve subsequent translocation outcomes.</p>
Dataset: Combining video telemetry and wearable MEG for naturalistic imaging
<p>OPM-MEG and Openpose keypoint data from the study "Combining video telemetry and wearable MEG for naturalistic imaging".</p> <p><strong>Changelog</strong></p> <p><strong>v1.10</strong></p> <ul> <li>Subject 004 from v1.01 has been renamed 005 (to reflect addition of new subject recorded prior to 005 during acquisition).</li> <li><strong>NEW </strong>sub-004</li> <li>Subjects 003-004 have a proof-of-principle motor paradigm added.</li> <li>README changes</li> </ul> <p><strong>v1.01</strong></p> <ul> <li>Corrected sub-004 *_channel.json files to include bad channel identifiers</li> <li>Telemetry data zipped prior to uploading to zenondo</li> <li>Updates to README</li> </ul>
Recording of Europa Clipper X-band telemetry with the Allen Telescope Array shortly after launch
<p>This dataset contains an IQ recording of the X-band 8424.3 MHz telemetry signal from the Europa Clipper 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 8424.5 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.</p> <p>After recording, the data was downsampled to 96 ksps centered around 8424.3 MHz and formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py. This reduced bandwidth is sufficient to decode the low data rate (2 kbps) telemetry signal. In addition to this signal, there are sequential ranging tones throughout much of the recording, but they are outside the 96 kHz bandwidth contained in this dataset.</p>
Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 1/2)
<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 MHz for one of the recordings and 8435.75 MHz for the other one, 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. After recording, the data was formatted in <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py.</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 1/2. It contains two recordings of the low rate telemetry signal. <a href="https://zenodo.org/records/14060873">Part 2/2</a> contains a recording of the high rate telemetry signal.</p>
Data from: Telemetry tails: A practical method for attaching animal-borne devices to small vertebrates in the field
<p><b><i>Context.</i></b> Continued miniaturisation of tracking technology increases its utility in animal applications. However, species morphology often dictates the type of animal-borne device (ABD) that can be used, and how it is attached. The morphology of species within Peramelemorphia preclude them from the standard collar attachment of ABDs for terrestrial mammals.</p> <p><b><i>Aims.</i></b> This paper describes a method for the tail-mount attachment of ABDs, and deployment results for Peramelemorphia across arid, semi-arid, and temperate Australia to <b>(a)</b> test the performance of attachments and ABDs in the field, and, <b>(b) </b>discuss the animal welfare considerations for this attachment method. </p> <p><b><i>Methods.</i></b> Tail-mount attachment of ABDs were field-tested on a total of 80 greater bilbies (<i>Macrotis lagotis</i>), and 14 long-nosed bandicoots (<i>Perameles nasuta</i>). </p> <p><b><i>Key results.</i></b> Time to natural detachment (TTND) was between 2 and 52 days with 65.74% (142 of 216) remaining on until manual removal. For ABDs that were manually removed, attachments were retained for up to 94 days. The method used for tail-mount attachment of ABDs to long-nosed bandicoots resulted in significantly shorter TTND compared to the method used for bilbies, and environmental factors (high temperatures and rainfall) had a negative effect on TTND. Tail-mount attached global positioning system (GPS) sensors collected large quantities of accurate data with a maximum fix success rate of 83.38%. Damage to GPS (antenna breakage and water ingress) during deployment, however, impacted performance. In environments with frequent rainfall and waterlogged soils, the tape on a small proportion (6.25%) of (n = 192) attachments to bilbies caused tail injury. All injuries were resolvable with most requiring minimal to no veterinary intervention. </p> <p><b><i>Key conclusions. </i></b>Attachment longevity can be affected by how the ABD is mounted to the tail, the species, and the deployment environment. The environment can also affect which adhesive tapes are suitable for ABD attachment. However, this method is highly modifiable, practical for field application, and can have long retention times relative to other temporary methods.</p> <p><b><i>Implications. </i></b>This ABD tail-mount attachment method adds another tool to the telemetry tool-kit, with all the benefits of a low-tech, low-cost, passive drop-off type attachment. This method has demonstrated practicality for Peramelemorphia, with potential application to other suitable small vertebrates.</p>
Louisiana mottled duck telemetry summer survival data 2018-2020 and water level data from Hurricane Laura surge
<p>Tropical cyclones are the most powerful storms on earth, causing catastrophic damage to human lives and infrastructure. Hurricanes also cause wildlife mortality when they make landfall, but the severity of these effects is difficult to quantify because data collection is either logistically impossible or deprioritized in the wake of human tragedy. On 27 August 2020, Hurricane Laura made landfall in southwestern Louisiana with maximum sustained winds of 241 kph (150 mph), making it one of the most powerful storms to strike the mainland United States. Hurricane Laura passed directly over the core breeding range of the Western Gulf Coast population of Mottled Duck (<i>Anas fulvigula</i>), during a time when many adult birds were undergoing a simultaneous wing feather molt and were flightless. We used GPS-GSM telemetry data to evaluate survival rates of adult female Mottled Ducks in late summer 2020 (bracketing 27 August by one month on either side) relative to the same period in 2018 and 2019. Mortality was lower in 2018 (12 out of 29; 41%) and 2019 (8 out of 28; 29%) than in 2020 (12 out of 18; 67%), and 7 out of 12 mortalities documented in 2020 occurred when Hurricane Laura made landfall. Survival analyses in Program MARK confirmed lower survival probability in 2020, but there was overlap in 85% confidence intervals in all years. This single storm resulted in the death of ~40% of all marked birds in our sample, suggesting that hurricanes have the potential to influence population demographics. In addition, Hurricane Laura resulted in widespread habitat loss and degradation that has reduced available nesting habitat in 2021, and possibly for years to come. The acute and chronic effects of hurricanes may exacerbate Mottled Duck population declines, which may worsen in the face of increasingly frequent and more severe tropical storms.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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.
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.
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.
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.