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419 results for “capture data”
Data from: Conspicuous stripes on prey capture attention and reduce attacks by foraging jumping spiders
<p class="MsoNormal"><span>Many animals avoid predation using aposematic displays that pair toxic/dangerous defenses with conspicuous achromatic warning patterns, such as high-contrast stripes. To understand how these prey defenses work, we need to understand the decision-making of visual predators. Here we gave two species of jumping spiders (</span><em>Phidippus regius</em><span><em><span> </span></em>and </span><em>Habronattus trimaculatus</em><span>) choice tests using live termites that had their back patterns manipulated using paper capes (solid white, solid black, striped). For </span><em>P. regius</em><span><em><span>,</span></em> black and striped termites were quicker to capture attention. Yet despite this increased attention, striped termites were attacked at lower rates than either white or black. This suggests that the termite's contrast with the background elicits attention, but the internal striped body patterning reduces attacks. Results from tests with </span><em>H. trimaculatus</em><span> were qualitatively similar but did not meet the threshold for statistical significance. Additional exploratory analyses suggest th</span>at attention to and aversion to stripes is at least partially innate and provide further insight into how decision-making played out during trials. Because of their rich diversity (over 6500 species) that includes variation in natural history, toxin susceptibility, degree of color vision, and dietary specialization, jumping spiders are well-suited to test broad generalizations about how and why aposematic displays work. </p>
Development and Implementation of a Tool for Data Capture @ Point of Sampling
<p><span>Poster presented at EFSA Symposium “Data Readiness for Artificial Intelligence”, held on 23-24 October 2024. </span></p> <p><span> </span><span>It describes the project “Development and Implementation of a Tool for Data Capture @ Point of Sampling” coordinated by the Portuguese Economic and Food Safety Authority (ASAE) with technical support from LIACC (Artificial Intelligence and Computer Science Laboratory, University of Porto), and involving two Danish organisations (Danish Veterinary and Food Administration and Technical University of Denmark) as end users of an application designed to enhance the harmonization and robustness of data collection processes. </span></p> <p><span> </span><span>The project is focused on two key areas: the further development of the mobile tool for data capture at the point of sampling in EFSA's SSD2 format, including SSD2 catalogue integration and translation into national languages, and the installation of this tool within partner entities across participating countries. </span></p> <p><span>The new system will incorporate validation features through the integration of the SSD2 data format and the FoodEx2 classification at the point of data creation.</span></p>
Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways: supporting data
<p>This provides supporting data for the paper, <em><strong>Cost reductions in renewables can substantially erode the value of carbon capture and storage in mitigation pathways</strong></em>, published in <em>One Earth</em>. The full paper can be accessed at the following DOI: https://doi.org/10.1016/j.oneear.2021.10.024, published on the 19th November 2021.</p>
Spatially explicit genetic capture-recapture data from black bears in Ontario, Canada, 2017-2019
<p>The Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry sampled black bear (<em>Ursus americanus</em>) DNA at baited barbed wire hair corrals on 77 independent study areas in Ontario Canada, 2017-2019. Spatially explicit capture-recapture data from these surveys (>12 000 independent, spatially referenced detections of nearly 4000 individual bears) are archived here. This data set will be cited in manuscripts presenting different analyses of the entire data set or subsets thereof.</p>
Macquarie Island southern elephant seal capture-mark-recapture data
<p>The Southern Ocean has been disproportionately affected by climate change and is therefore an ideal place to study the influence of changing environmental conditions on ecosystems. Changes in the demography of predator populations are indicators of broader shifts in food-web structure, but long-term data are required to study these effects. Southern elephant seals (<em>Mirounga leonina</em>) from Macquarie Island have consistently decreased in population size while all other major populations across the Southern Ocean have recently stabilised or are increasing. Two long-term mark-recapture studies (1956-1967 and 1993-2009) have monitored this population, which provides an opportunity to investigate demographic performance over a range of climatic conditions. This provides insights on individual vital rates of known-age seals from Macquarie Island over extensively long timeseries.</p>
Live capture and handling of Taiwanese leopard cats_Data
<p>This data set forms the basis of a scientific open access publication in Wildlife Biology:</p> <p><strong>van der Meer E, Dullemont H, Chen WL, Chang AM, Chen CC, Pei KJC, Lai YC (2022) Live capture and handling of Taiwanese leopard cats (<em>Prionailurus bengalensis</em>): an evaluation of trap designs and capture protocol. Wildlife Biology.</strong></p> <p>It contains data on trap characteristics, leopard cat visits, domestic dog visits and bycatch for various trap designs used for the live trapping of leopard cats in Taiwan. It also includes data on leopard cat movement in the first six days after trapping and handling, based on triangulation of the signal from the VHF collars of the study animals.</p> <p> </p>
Supplementary data as part of the article "The role of carbon capture, utilization and storage for economic pathways that limit global warming to below 1.5 °C" (https://doi.org/10.1016/j.isci.2022.104237).
<p>Data of the plots in Figure 1a and Figure 1b, showing, respectively, the incremental and the integrated global CO<sub>2</sub> emissions for the 1.5 °C-committed decarbonization pathways from IPCC (P1, P2, P3, and P4 pathways) and the one originally obtained in this work (Q pathway).</p>
Data from: Modeling spatiotemporal abundance and movement dynamics using an integrated spatial capture-recapture movement model
<p>Animal movement is a fundamental ecological process affecting the survival and reproduction of individuals, the structure of populations, and the dynamics of communities. Methods to quantify animal movement and spatiotemporal abundances, however, are generally separate and thus omit linkages between individual-level and population-level processes. We describe an integrated spatial capture-recapture (SCR) movement model to jointly estimate (1) the number and distribution of individuals in a defined spatial region and (2) movement of those individuals through time. We applied our model to a study of polar bears (Ursus maritimus) in a 28,125 km<sup>2</sup> survey area of the eastern Chukchi Sea, USA in 2015 that incorporated capture-recapture and telemetry data. In simulation studies, the model provided unbiased estimates of movement, abundance, and detection parameters using a bivariate normal random walk and correlated random walk movement process. Our case study provided detailed evidence of directional movement persistence for both male and female bears, where individuals regularly traversed areas larger than the survey area during the 36-day study period. Scaling from individual- to population-level inferences, we found that densities varied from < 0.75 bears/625 km<sup>2</sup> grid cell/day in nearshore cells to 1.6–2.5 bears/grid cell/day for cells surrounded by sea ice. Daily abundance estimates ranged from 53–69 bears, with no trend across days. The cumulative number of unique bears that used the survey area increased through time due to movements into and out of the area, resulting in an estimated 171 individuals using the survey area during the study (95% credible interval 124–250). Abundance estimates were similar to a previous multi-year integrated population model using capture-recapture and telemetry data (2008–2016; Regehr et al. 2018). Overall, the SCR-movement model successfully quantified both individual- and population-level space use, including the effects of landscape characteristics on movement, abundance, and detection, while linking the movement and abundance processes to directly estimate density within a prescribed spatial region and temporal period. Integrated SCR-movement models provide a generalizable approach to incorporate greater movement realism into population dynamics and link movement to emergent properties including spatiotemporal densities and abundances.</p>
Data in support of Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica
<p>Includes alignments and trees for the analysis found in Thomas et al. 2021, Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica; American Journal of Botany, Special Issue: Exploring Angiosperms353: a Universal Toolkit for Flowering Plant Phylogenomics. Alignments comprise subsets of Angiosperms353 genes given each filtering scheme (full, intersection, sortadate_BP, sortadate_TL) and gene type/subset (exons, introns, supercontigs), and for markers downloaded from GenBank, as explained in the Methods section of Thomas et al. 2021. Trees were included for each of these alignments from IQtree and Astral; SVDquartets tree was only estimated for the full set of supercontigs. Gene trees were generated with IQtree. Tree files are named differently than the final manuscript; refer to the number of genes specified in Fig 1 of Thomas et al, 2021 and specified in each filename to identify filtering scheme. Raw sequence reads are available on the Sequence Read Archive at <a href="http://www.ncbi.nlm.nih.gov/bioproject/715342">http://www.ncbi.nlm.nih.gov/bioproject/715342</a>.</p>
Data from: Large trees and forest heterogeneity facilitate prey capture by California spotted owls
<p>Predators are among the most threatened animal groups globally, with prey declines contributing to their endangerment. However, assessments of the habitat conditions that influence the successful capture of different prey species are rare, especially for small, cryptic predators. Accordingly, most predator conservation plans are based on the relative importance of habitats inferred from coarse-scale <a name="_Hlk99628060"></a>studies that do not consider habitat features contributing to hunting success, which can vary among prey species. To address this limitation, we integrated high-resolution GPS tracking and nest video monitoring to characterize habitat features at prey capture locations during the nestling provisioning stage for the Spotted Owl (<em>Strix occidentalis</em>) a small, cryptic predator that has been at the center of a decades-long forest management conflict in western North America. When all prey species were considered collectively, males provisioning nests tended to capture prey: (<em>i</em>) in areas with more large-tree forest, (<em>ii</em>) in areas with more medium trees/medium canopy forest, and (<em>iii</em>) at edges between conifer and hardwood forests. However, when we considered the owl's two key prey species separately, males captured woodrats (<em>Neotoma fuscipes</em>) and Humboldt flying squirrels (<em>Glaucomys oregonensis</em>) in areas with markedly different habitat features. Our study provides clarity for forest management in mixed-ownership landscapes because different prey species achieve high densities in different habitat types. Specifically, our results suggest that promoting large trees, increasing forest heterogeneity, and creating canopy gaps in forests with medium trees/high canopy cover could benefit Spotted Owls and their prey, which has the ancillary benefit of enhancing forest resilience. Combining high-resolution GPS tagging with video-based information on prey deliveries to breeding sites can strengthen conservation planning for small predators by more rigorously defining those habitat features that are associated with successful prey acquisition.</p>
data for "Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data"
<p>data for "Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data"</p>
Data from "Asymmetric visual capture of virtual sound sources in the distance dimension"
<p>This repository will contain raw and processed data used and described in:</p> <p><strong>Zahorik P (2022) Asymmetric visual capture of virtual sound sources in the distance dimension. Front. Neurosci. 16:958577. doi: 10.3389/fnins.2022.958577</strong></p>
Target capture data resolve recalcitrant relationships in the coffee family (Rubioideae, Rubiaceae)
<p class="MsoNormal"><span>Subfamily Rubioideae is the largest of the main lineages in the coffee family (Rubiaceae), with over 8,000 species and 29 tribes. Phylogenetic relationships among tribes and other major clades within this group of plants are still only partly resolved despite considerable efforts. While previous studies have mainly utilized data from the organellar genomes and nuclear ribosomal DNA, we here use a large number of low-copy nuclear genes obtained via a target capture approach to infer phylogenetic relationships within Rubioideae. We included 101 Rubioideae species representing all but two (the monogeneric tribes Foonchewieae and Aitchinsonieae) of the currently recognized tribes, and all but one non-monogeneric tribe were represented by more than one genus. Using data from the 353 genes targeted with the universal Angiosperms353 probe set we investigated the impact of data type, analytical approach, and potential paralogs on phylogenetic reconstruction. We inferred a robust phylogenetic hypothesis of Rubioideae with the vast majority (or all) nodes being highly supported across all analyses and datasets and few incongruences between the inferred topologies. The results were similar to those of previous studies but novel relationships were also identified. We found that supercontigs (coding sequence [CDS] + noncoding sequence) clearly outperformed CDS data in levels of support and gene tree congruence. The full datasets (353 genes) outperformed the datasets with potential paralogous genes removed (186 genes) in levels of support but increased gene tree incongruence slightly. The pattern of gene tree conflict at short internal branches was often consistent with high levels of incomplete lineage sorting (ILS) due to rapid speciation in the group. While concatenation- and coalescence-based trees mainly agreed, the observed phylogenetic discordance between the two approaches may be best explained by their differences in accounting for ILS. The use of target capture data greatly improved our confidence and understanding of the Rubioideae phylogeny, highlighted by the increased support for previously uncertain relationships and the increased possibility to explore sources of underlying phylogenetic discordance.</span></p>
Temporal data from camera trap captures of raccoons (Procyon lotor) and coyote (Canis latrans) across urban-rural gradient Michigan 2015-2020
<p>Temporal data and trap success for raccoons (<em>Procyon lotor</em>) and coyotes (<em>Canis latrans</em>) across an urban-rural gradient in Michigan, from 2015 to 2020. These data are associated with the article "Temporal refuges of a subordinate carnivore vary across rural-urban gradient" in the journal Ecology and Evolution. </p>
Solid-sorbent direct air capture global performance data
<p>Global performance data for solid-sorbent direct air capture utilizing amine-functionalized sorbent (i.e., Lewatit VP OC 1065) in a steam-assisted vacuum-pressure temperature swing adsorption cycle.</p>
Data from: Captures do not affect escape response to humans in Alpine marmot
<p>Capture and manipulation are an integral part of wildlife research and management. These practices, however, can affect animals either directly or indirectly, and studies should generally evaluate the consequences of captures to ensure animal welfare and reduce sampling bias. Here, we investigated the indirect, behavioural effects of live-capture on escape response to humans in Alpine marmot <em>Marmota marmota </em>within the Stelvio National Park (central Italian Alps) over three seasons (2021- 2023). We used flight initiation distance (FID) as a measure of escape response and tested it in relation to capture status using linear mixed modelling. Captures did not have any detectable effect on escape response, and FID was best explained by covariates such as starting distance, distance to nearest burrow, current behaviour during the observation and year of observation. It might be that, in marmots, escape response to humans is a rather inert behaviour. As such, although we cannot rule out unmeasured effects, capture may not represent an excessively traumatic experience which could trigger immediate behavioural modification. In turn, capture is unlikely to compromise animal welfare or cause scientific bias in studies investigating escape response in this species, at least over the short term.</p>
Luminoso Input Data for SemEval-2018 Task 10: "Capturing Discriminative Attributes"
<p>This is the data required to run Luminoso's entry to the SemEval-2018 task on Capturing Discriminative Attributes.</p> <p>This data includes:</p> <ul> <li>A recently-computed version of the <a href="https://github.com/commonsense/conceptnet-numberbatch">ConceptNet Numberbatch</a> word embeddings</li> <li>The output of an implementation of Semantic Matching Energy over ConceptNet</li> <li>A SQLite database containing the lead section of all articles on the <a href="http://en.wikipedia.org">English Wikipedia</a> on 2017-12-20</li> <li>The text file that that database is constructed from</li> <li>A SQLite database of words that co-occur in <a href="http://storage.googleapis.com/books/ngrams/books/datasetsv2.html">Google Books 2-grams</a></li> <li>The text file containing total counts of 2-grams in the Google Books data, which that database is constructed from</li> </ul> <p>For more information, see the paper "Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge", by Robyn Speer and Joanna Lowry-Duda, to appear in the proceedings of the SemEval workshop at NAACL 2018.</p>
Data set for "Stabilization of nesquehonite for application in carbon capture utilization and storage"
<p>The dataset contains all relavent raw data from the study titile, "Stabilization of nesquehonite for application in carbon capture utilization and storage". </p>
Capturing single-copy nuclear genes, organellar genomes, and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae
<p>With the decreasing cost and availability of many newly developed bioinformatics pipelines, next-generation sequencing (NGS) has revolutionized plant systematics in recent years. Genome skimming has been widely used to obtain high-copy fractions of the genomes, including plastomes, mitochondrial DNA (mtDNA), and nuclear ribosomal DNA (nrDNA). In this study, through simulations, we evaluated the optimal (minimum) sequencing depth and performance for recovering single-copy nuclear genes (SCNs) from genome skimming data, by subsampling genome resequencing data and generating 10 datasets with different sequencing coverage <i>in silico</i>. We tested the performance of four datasets (plastome, nrDNA, mtDNA, and SCNs) obtained from genome skimming based on phylogenetic analyses of the <i>Vitis</i> clade at the genus level and Vitaceae at the family level, respectively. Our results showed that optimal minimum sequencing depth for high-quality SCNs assembly via genome skimming was about 10× coverage. Without the steps of synthesizing baits and enrichment experiments, coupled with incredibly low sequencing costs, we showcase that deep genome skimming (DGS) is as effective for capturing large datasets of SCNs as the widely used Hyb-Seq approach, in addition to capturing plastomes, mtDNA, and entire nrDNA repeats. DGS may serve as an efficient and economical alternative and may be superior to the popular target enrichment/Hyb-Seq approach.</p>
Data from: Predicting bushmeat biomass from species composition captured by camera traps: implications for locally-based wildlife monitoring
<p>The 'StatAnalysis.zip' contains the data and model files. We used it for the four analyses below.</p> <p>First, we estimated population densities, the mean body mass and camera-trap capture rates of five main bushmeat targets in a rainforest of southeast Cameroon: Peters's duikers (<em>Cephalophus callipygus</em>), bay duikers (<em>C. dorsalis</em>), blue duikers (<em>Philantomba monticola</em>), brush-tailed porcupines (<em>Atherurus africanus</em>) and Emin's pouched rats (<em>Cricetomys emini</em>). Second, on the basis of the density and body mass estimates, we estimated bushmeat biomass—the total biomass of the five bushmeat species—and its spatial variation. Third, we calculated six bushmeat indicators based on the capture rate estimates. Lastly, we examined the correlation between bushmeat biomass and the indicators.</p> <p>The ZIP file consists of 16 R script files, three CSV files (in the 'data' subfolder) and 135 stan files (in the 'stan' subfolders). It also has two empty folders, 'figure' and 'res', where the figures and R objects of model results will be stored following the analyses. Please see the document 'README.txt' before performing the analysis. This text file gives the ZIP file structure and brief descriptions of the files.</p>
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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.