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59 results for “distance estimation”
Estimated Distance from the Ocean for River Grid Cells - Parker and Ipswich Watersheds - ASCII Raster File
This datalayer is a gridded data set of the estimated distance (km) to ocean from each point in the gridded river network. The resolution is 120 m x 120 m. Based on the flow direction in: WAT-RGIS-120m-FlowDirection.asc Provide the distance to ocean for each grid cell.
New Mass and Distance Estimates for Betelgeuse through Combined Evolutionary, Asteroseismic, and Hydrodynamical Simulations with MESA
<p>inlists for MESA version 11701 used to compute evolutionary tracks accompanying this manuscript on Betelgeuse</p>
TA B L E 2 Estimates of pairwise sequence divergence (cyt-b gene) in pale-bellied Micronycteris, where M. minuta is divided in three clades. Below the diagonal: pairwise distance using the Kimura 2-parameter model (percentage). On the diagonal: within-clade distance using the Kimura 2-parameter model (percentage). Above the diagonal: pairwise p-distance values. Number of specimens sequenced in parenthesis. *Chimeric sequence obtained from two paratypes (Siles et al., 2013). in Revision of the pale-bellied Micronycteris Gray, 1866 (Chiroptera, Phyllostomidae) with descriptions of two new species
TA B L E 2 Estimates of pairwise sequence divergence (cyt-b gene) in pale-bellied Micronycteris, where M. minuta is divided in three clades. Below the diagonal: pairwise distance using the Kimura 2-parameter model (percentage). On the diagonal: within-clade distance using the Kimura 2-parameter model (percentage). Above the diagonal: pairwise p-distance values. Number of specimens sequenced in parenthesis. *Chimeric sequence obtained from two paratypes (Siles et al., 2013).
Data from: Relationship type affects the reliability of dispersal distance estimated using pedigree inferences in partially sampled populations: a case study involving invasive American mink in Scotland
Estimating dispersal—a key parameter for population ecology and management—is notoriously difficult. The use of pedigree assignments, aided by likelihood-based software, has become popular to estimate dispersal rate and distance. However, the partial sampling of populations may produce false assignments. Further, it is unknown how the accuracy of assignment is affected by the genealogical relationships of individuals and is reflected by software-derived assignment probabilities. Inspired by a project managing invasive American mink (Neovison vison), we estimated individual dispersal distances using inferred pairwise relationships of culled individuals. Additionally, we simulated scenarios to investigate the accuracy of pairwise inferences. Estimates of dispersal distance varied greatly when derived from different inferred pairwise relationships, with mother–offspring relationship being the shortest (average = 21 km) and the most accurate. Pairs assigned as maternal half-siblings were inaccurate, with 64%–97% falsely assigned, implying that estimates for these relationships in the wild population were unreliable. The false assignment rate was unrelated to the software-derived assignment probabilities at high dispersal rates. Assignments were more accurate when the inferred parents were older and immigrants and when dispersal rates between subpopulations were low (1% and 2%). Using 30 instead of 15 loci increased pairwise reliability, but half-sibling assignments were still inaccurate (>59% falsely assigned). The most reliable approach when using inferred pairwise relationships in polygamous species would be not to use half-sibling relationship types. Our simulation approach provides guidance for the application of pedigree inferences under partial sampling and is applicable to other systems where pedigree assignments are used for ecological inference.
Data from: Hierarchical distance sampling to estimate population sizes of common lizards across a desert ecoregion
1) Multi-species wildlife monitoring across large geographical regions is important for effective conservation planning in response to expected impacts from climate change and land use. Unlike many species of birds, mammals, and amphibians which can be efficiently sampled using automated sensors including cameras and sound recorders, reptiles are often much more challenging to detect, in part because of their typically cryptic behavior and generally small body sizes. Although many lizard species are more active during the day which makes them easier to detect using visual encounter surveys, they may be unavailable for sampling during certain periods of the day or year due to their sensitivity to temperature. 2) In recognition of these sampling challenges, we demonstrate application of a recent innovation in distance sampling that adjusts for temporary emigration between repeat survey visits. We used transect surveys to survey lizards at 229 sites throughout the Mojave Desert in California, USA, 2016. 3) We estimated a total population size of 80 million (90% CI: 64–97 million) for the three most common species of lizards across this 66,830 km2 ecoregion. We mapped how density at the 1-km2 scale was predicted to vary with vegetation cover and human development. We validated these results against independent surveys from the southern portion of our study area. 4) Our methods and results demonstrate how multi-species monitoring programs spanning arid ecoregions can better incorporate information about reptiles.
Data from: Indirect estimates of natal dispersal distance from genetic data in a stream-dwelling fish (Mogurnda adspersa)
Recent work has highlighted the need to account for hierarchical patterns of genetic structure when estimating evolutionary and ecological parameters of interest. This caution is particularly relevant to studies of riverine organisms, where hierarchical structure appears to be commonplace. Here we indirectly estimate dispersal distance in a hierarchically structured freshwater fish, Mogurnda adspersa. Microsatellite and mitochondrial (mtDNA) data were obtained for 443 individuals across 27 sites separated by an average of 1.3 kilometers within creeks of southeastern Queensland, Australia. Significant genetic structure was found among sites (mtDNA ΦST = 0.508; microsatellite FST = 0.225, F′ST = 0.340). Various clustering methods produced congruent patterns of hierarchical structure reflecting stream architecture. Partial mantel tests identified contiguous sets of sample sites where isolation-by-distance (IBD) explained FST variation without significant contribution of hierarchical structure. Analysis of mean natal dispersal distance (σ) within sets of IBD-linked sample sites suggested most dispersal occurs over <1 km and the average effective density (De) was estimated at 11.5 individuals.km-1; indicating sedentary behaviour and small effective population size are responsible for the remarkable patterns of genetic structure observed. Our results demonstrate that Rousset's regression-based method is applicable to estimating the scale of dispersal in riverine organisms, and that identifying contiguous populations which satisfy the assumptions of this model is achievable with genetic clustering methods and partial correlations.
Data from: Estimating feral cat densities using distance sampling in an urban environment
1. Estimating feral cat population densities in urban environments can be difficult due to lack of public space and human interference. The purpose of this study was to use distance sampling in a citywide landscape to determine population size and areas of high abundance to inform trap-neuter-release management programs. 2. Line transect distance sampling was used to estimate density of the feral cat population in Windsor, Ontario from June to July 2014. Windsor has a human population of 217,188 and is about 146 km2 in size. Most transects were placed along local roads. 3. Density was estimated at about 13.3 (95% CI 9.7 – 18.1) cats per km2, and an estimated population size of 1858 cats (95% CI 1361 – 2537) with the highest relative density occurring in West and Central Windsor. 4. Urban wildlife managers could utilize these methods to monitor feral cat populations and evaluate the effectiveness of trap-neuter-release programs.
Data for estimating the transmission distance
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Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps
<p><a name="_Hlk58254629"></a></p> <p><a name="_Hlk58254629">Surveying cryptic, nocturnal animals is logistically challenging. Consequently, density estimates may be imprecise and uncertain. Survey innovations mitigate ecological and observational difficulties contributing to estimation variance. Thus, comparisons of survey techniques are critical to evaluate estimates of abundance. We simultaneously compared three methods for observing mountain hare (<i>Lepus timidus</i>) using Distance sampling to estimate abundance. Daylight visual surveys achieved 41 detections, estimating density at 14.3 hares km<sup>-2</sup> (95%CI 6.3–32.5) resulting in the lowest estimate and widest confidence interval. Night-time thermal imaging achieved 206 detections, estimating density at 12.1 hares km<sup>-2 </sup>(95%CI 7.6–19.4). Thermal imaging captured more observations at furthest distances, and detected larger group sizes. Camera traps achieved 3,705 night-time detections, estimating density at 22.6 hares km<sup>-2 </sup>(95%CI 17.1–29.9). Between the methods, detections were spatially correlated, although the estimates of density varied. Our results suggest that daylight visual surveys tended to underestimate density, failing to reflect nocturnal activity. Thermal imaging captured nocturnal activity, providing a higher detection rate, but required fine weather. Camera traps captured nocturnal activity, and operated 24/7 throughout harsh weather, but needed careful consideration of empirical assumptions. </a>We discuss the merits and limitations of each method with respect to the estimation of population density in the field.</p>
Data from: Schneider et al. (2021). Predominantly eastward long-distance dispersal in pantropical Ochnaceae inferred from ancestral range estimation and phylogenomics. Frontiers in Ecology and Evolution.
<p>The data contains (a) DNA sequence alignments of concatenated nuclear loci, near-complete plastid genomes and plastid genomes with sites removed at a 10% gap threshold; (b) maximum clade credibility trees obtained from divergence time estimation in BEAST with each of the alignments; (c) area codings and the input tree (nuclear DNA only) for the ancestral area analysis in BioGeoBears.</p>
Preoperative Corneal Measurements Estimate the Corrected Distance Visual Acuity After Corneal Cross-linking
ClinicalTrials.gov study NCT06522789. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Estimation of bumblebee queen dispersal distances using sibship reconstruction method
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Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps
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Data from: Sperm dispersal distances estimated by parentage analysis in a brooding scleractinian coral
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Genetic Distances between badgers (based on microsatellite-derived estimates of relatedness) and M. bovis isolates (based on pairwise SNP distances) alongside categories describing social group membership, age and sex categories
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Data from: Relationship type affects the reliability of dispersal distance estimated using pedigree inferences in partially sampled populations: a case study involving invasive American mink in Scotland
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Data from: Estimating feral cat densities using distance sampling in an urban environment
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Data from: Hierarchical distance sampling to estimate population sizes of common lizards across a desert ecoregion
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Data from: Probabilistic species tree distances: implementing the multispecies coalescent to compare species trees within the same model-based framework used to estimate them
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Data from: Indirect estimates of natal dispersal distance from genetic data in a stream-dwelling fish (Mogurnda adspersa)
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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)
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.