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1,445 results for “Distances”
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>
Electronic Distance Measurements (EDM) on active Sicilian Volcanoes (1975-2009).
<p><strong>File descriptions</strong>: This dataset includes ca. 8000 Electronic Distance Measurements (EDM) collected from 1974 to 2009 on several networks installed on Sicilian Volcanoes (Vulcano, Stromboli, Etna and Pantelleria).<br> EDM represent one of the first methods to detect ground deformation on volcanoes having been used since 1964 on Kilauea (Hawaii). It is a precise technique that uses a laser to measure the transit time of light between a base station to the reflecting prisms positioned around the volcano; the repetition of these measurements in time allows one to monitor the slope distance variations.<br> EDM is a powerful tool for volcano monitoring that has been useful to define the features of magmatic and hydrothermal sources as their volume, position, geometry, and dynamics. Moreover, this technique has been largely used on volcanoes in 70th to 90th years until the 2000s when it has been gradually abandoned in favor of GPS.<br> This dataset reports data obtained on several Sicilian volcanoes (Etna, Vulcano, Stromboli and Pantelleria) from the early ’70 to until the 2000s, in which EDM measurements have played a major role in volcanic process knowledge and that make the Sicilian volcanoes among the ones with the longest geodetic record in the World.<br> Database has been organized on Microsoft Excel files and each file reports the network name (the networks list is in Table1.xls).<br> Inside each data file (in “database” directory), there are two sheets with a sheet reporting all measured distances and a table with associated errors. The position of each benchmark is reported on specific coordinate network files in “benchmarks coordinates” directory). All the coordinates have been obtained with GPS technique, except for the Ionica network where they have been derived from paper maps and therefore suffer by a bigger approximation.<br> In the data files, rows show the measurement date, the instrument model and recorded values; in the first column, the pairs of benchmarks considered are reported.<br> The networks Etna S and Etna NE have additional files, reporting the most frequent measurements taken during the eruptive crises of July 2001 (onset of 2001 eruption) and of October 2002 (onset of the 2002-03 eruption).<br> Almost all networks were measured using both the AGA6BL and the AGA 6000 Geodimeters. In the files, the survey in which the transition from one instrument to the other took place is highlighted. In those surveys, measurements were performed with both instruments in order to maintain the time-series continuity. Furthermore, in the tables “double” measurements related also to reflectors changes or new benchmarks have been highlighted.</p>
Data from: A shared numerical magnitude representation evidenced by the distance effect in frequency-tagging EEG
<p>Humans can effortlessly abstract numerical information from various codes and contexts. However, whether the access to the underlying magnitude information relies on common or distinct brain representations remains highly debated. Here, we recorded electrophysiological responses to periodic variation of numerosity (every five items) occurring in rapid streams of numbers presented at 6Hz in randomly varying codes – Arabic digits, number words, canonical dot patterns and finger configurations. Results demonstrated that numerical information was abstracted and generalized over the different representation codes by revealing clear discrimination responses (at 1.2 Hz) of the deviant numerosity from the base numerosity, recorded over parieto-occipital electrodes. Crucially, and supporting the claim that discrimination responses reflected magnitude processing, the presentation of a deviant numerosity distant from the base (e.g., base "2" and deviant "8") elicited larger right-hemispheric responses than the presentation of a close deviant numerosity (e.g., base "2" and deviant "3"). This finding nicely represents the neural signature of the distance effect, an interpretation further reinforced by the clear correlation with individuals' behavioral performance in an independent numerical comparison task. Our results, therefore, provide for the first time unambiguously a reliable and specific neural marker of a magnitude representation that is shared among several numerical codes.</p>
Figure 80. Calculated pairwise distances between sequences using the Kimura 2 in Three new species of Cautethia Grote (Lepidoptera: Sphingidae) from the Lucayan Archipelago and keys to West Indies species
Figure 80. Calculated pairwise distances between sequences using the Kimura 2-parameter model.
Depleted lean body mass after crossing an ecological barrier differentially affects stopover duration and refueling rate among species of long-distance migratory birds
<p>During the long-distance migratory flights of birds, lean mass breakdown occurs in concert with fat catabolism and is expected to have repercussions on total stopover duration because birds require time to rebuild lean tissue before accumulating fat reserves. Despite this, little is known about the role of in-flight lean mass breakdown on stopover duration because direct measurements are restricted by the destructive nature of traditional body composition analysis and the technological limitations of tracking small birds over large expanses. We used non-lethal, non-invasive Quantitative Magnetic Resonance technology and plasma metabolite profiling to measure the body composition and physiological state of free-living birds captured at a migratory stopover site after flight across the Gulf of Mexico, and an automated radiotelemetry array covering ~5000 km<sup>2</sup> to track stopover duration and regional movements. We tested whether stopover duration is prolonged in individuals arriving with lower lean mass and investigated how lean mass affects regional movements. Stopover duration decreased by 22% for each additional gram of lean mass in Northern Waterthrush (Parkesia noveboracensis), but this relationship was not apparent in Swainson's Thrush (Catharus ustulatus), Gray-cheeked Thrush (Catharus minimus), or Yellow-billed Cuckoo (Coccyzus americanus), even though these species also arrived with depleted lean mass. Stopover duration increased for Swainson's Thrush with higher plasma uric acid, a marker of protein catabolism. Northern Waterthrush with higher plasma triglycerides had longer stopovers. Our findings suggest that migratory birds may compensate for substantial lean mass losses by increasing refueling rate or relocating habitat, and highlights species-level differences in lean mass breakdown and the associated impacts on physiological function. Our results highlight the strategies used by different species to recover from a trans-Gulf of Mexico flight and resume migration, which improves our understanding of the annual cycle of migratory birds.</p>
Has long-distance flight ability been maintained by pigeons in highly insular habitats?
<p>Aim: A reduction in dispersal ability has been thought to be a general trend for island land birds because of their physical isolation to a limited area, scarcity of predators, and ability to forage without flight in island habitats. However, recent studies have indicated that long-distance dispersal among island habitats may be maintained in island pigeon populations, which may be related to unstable food resource availability on a single island. Here, we investigated whether pigeons could maintain their long-distance dispersal ability to move among islands within the archipelago, even in highly insular conditions, by comparing two subspecies of Japanese wood pigeon (<em>Columba</em> <em>janthina</em>) distributed on islands with different levels of insularity.</p> <p>Location: The Ogasawara, Izu and Nansei Islands in the north-western Pacific Ocean</p> <p>Taxon: Japanese wood pigeon (<em>Columba janthina</em>)</p> <p>Methods: We compared morphological traits related to dispersal potential between the two subspecies: <em>C. j. janthina</em> and <em>C. j. nitens</em>. We performed phylogenetic and population genetic analyses based on genomic markers to indirectly assess dispersal ability via the rate of gene flow and determine how long <em>C. j.nitens</em> in a more insular habitat have been isolated for a long time.</p> <p>Results: <em>C. j. nitens</em> had a wing shape that was better suited for long-distance flight than that of <em>C. j. janthina</em>. Both subspecies maintained sufficient gene flow among the islands within their habitat archipelagos, with no evidence of isolation by distance. The divergence time of the two subspecies was 0.67 million years ago, which was sufficient to reduce dispersiveness compared to other cases of island land birds. </p> <p>Main conclusion: We showed that long-distance flight can be maintained under highly insular conditions despite long-term isolation from the ancestral populations. This indicates that the strategy of maintaining dispersal ability may also be possible in island systems, where organisms have repeatedly and globally shown reduced dispersal ability. Although further studies are required to reveal its evolutionary processes, our study provides an exceptional case for island birds' biogeography.</p>
Relative Distance Measurement with NSense
<p>We have carried out a set of experiments with our middleware NSense installed on three devices and carried by three different individuals. The devices were Samsung S5 Galaxy, Android version 6.0.1. Each device was named User1, User2, and User3. Each experimental scene involved 2 devices (e.g., User1 to User2 or User3 to User1 readings) positioned in different locations, indoor or outdoor, on the same floor or in different floors, within and without LoS. For each scenario, the real distance has been measured horizontally or, if on different floors, vertically. LoS is 1 if the path was free of obstacles and 0 if there were obstacles on the way; SameFloor is 1 if the users are on the same floor and 0 otherwise; Outdoor is 1 if users are outdoors and 0 otherwise; the real distance between the devices, in meters. The experiments have been developed over two weeks, between 10 a.m. and 17 p.m. of different working days of the week. There are two different datasets: BTDataset.csv WiFiDataset.csv Each dataset has the following variables: - timestamp - own_device (identifier of the device) - rssi, RSSI in dB - Scale, RSSI levels (1 as Very Weak, 2 as Weak , 3 as Mild, 4 as Strong and 5 as Very Strong). RSSI deterministic levels are based upon the Android getLevel() method. - freq, corresponding to the sub-frequency of the channel - computed distance, in meters - scenario, label of the different scenarios - refer to ScenarioDescription.xls - realdistance in meters - line_of_sight. 1 for LoS; 0 for nLoS - same floor. 1 for users standing on the same floor; 0 for different floors - outdoor, 1 for both users being outdoors; 0 otherwise - connected_device, device from which the RSSI is being obtained.</p>
Data from: seasonal patterns and processes of migration in a long-distance migratory bird: energy or time minimization?
<p>Optimal migration theory prescribes adaptive strategies of energy, time or mortality minimization. To test alternative hypotheses of energy and time minimization migration we used multisensory data loggers recording time-resolved flight activity and light for positioning by geolocation in a long-distance migratory shorebird, little ringed plover Charadrius dubius. We could reject the hypothesis of energy minimization based on a relationship between stopover duration and subsequent flight time as predicted for a time minimizer. We found seasonally diverging slopes between stopover and flight durations in relation to the progress (time) of migration, which follows for a time minimizing policy if resource gradients increase and decrease, respectively. Total flight duration did not differ significantly between autumn and spring migration, although spring migration was 6% shorter. Overall duration of autumn migration was longer than that in spring, mainly due to a mid-migration stop in most birds, when they likely initiated moult. Overall migration speed was not significantly different between autumn and spring. Migratory flights often occurred as runs of 2-7 nocturnal flights on adjacent days, which may be countering a time minimization strategy. Other factors may influence a preference for nocturnal migration, such as avoiding flight in turbulent conditions, heat stress, and diurnal predators.</p>
Data belonging to "Successful invasion: camera trap distance sampling reveals higher density for invasive raccoon dog compared to native mesopredators"
<p>Data files (comma separated text files) containing the camera data (CameraData) containing the information on camera trap placements in the various sites and their operation time in days and aperture, the distance sampling data (DistanceData) containing the information on the species and distance detected for each 1s time interval in front of each camera, and the trigger data (TriggerData) containing the time stamps for the pictures taken of each species with each camera, collected in the years 2020 and 2021 in southern Finland. The repository further contains an R script "distanceSamplingScript" which uses the reposited above-described files for analysis reported in the publication "Successful invasion: camera trap distance sampling reveals higher density for invasive raccoon dog compared to native mesopredators" https://doi.org/10.1007/s10530-024-03323-4. The R script has been confirmed to run in R version 4.3.3 using packages "activity" vs 1.3.4 and "Distance" vs 1.0.9</p>
Weak response to selection on stigma-anther distance in a primarily selfing population of yellow monkeyflower
<p>Stebbins hypothesized that selfing lineages are evolutionary dead ends because they lack adaptive potential. While selfing populations often harbor limited nucleotide variability compared to closely related outcrossers, reductions in the genetic variability of quantitative characters remain unclear, especially for key traits determining selfing rates. Yellow monkeyflower (<em>Mimulus guttatus</em>) populations generally outcross and maintain extensive quantitative genetic variation in floral traits. Here, we study the Joy Road population (Bodega Bay, California, USA) of <em>M. guttatus</em>, where individuals exhibit stigma-anther distances typical of primarily selfing monkeyflowers. We show that this population is closely related to nearby conspecifics on the Pacific coast with a modest 33% reduction in genome-wide variation compared to a more highly outcrossing population. A five-generation artificial selection experiment challenged the hypothesis that the Joy Road population harbors comparatively low evolutionary potential in the stigma-anther distance, a critical determinant of selfing rate in <em>Mimulus</em>. Artificial selection generated a weak phenotypic response, with low realized heritabilities (0.020-0.028) falling 84% below those measured for floral characters in more highly outcrossing <em>M. guttatus</em>. These results demonstrate substantial declines in evolutionary potential with a transition toward selfing. Whether these findings explain infrequent reversals to outcrossing or general limits on adaptation in selfers requires further investigation.</p>
Metadata of the Top 40 Journals in Distance Education: A Bibliometric Analysis of Impact 2018-2022
<p>This file contains metadata from the 40 most impactful journals in the field of distance education, selected through a rigorous bibliometric analysis using the SCImago Journal Rank (SJR) indicator provided by SCImago. Two main criteria guided the selection: the first targeted journals ranked in Q1 and Q2 in the specific category of "e-learning" within the social sciences and education area, highlighting publications that demonstrate high impact and relevance in the academic community according to the selected indicator. The second criterion was based on keyword searches in the journal titles, selecting those that include terms like e-learning, online, Distance Education, Technology Learning, Communications in Information, and Information Education and their variants (e.g., plural), also positioned in Q1 or Q2.</p> <p>The metadata, extracted from the Scopus database, covers publications from the period 2018 to 2022 and includes vital information such as document type, authors' names, article title, journal name, publication year, pages, volume, and issue number. Additionally, each article is identified by a Digital Object Identifier (DOI) and URLs for direct access to the full text online, along with abstracts and keywords. These elements together provide a comprehensive and accessible view of the articles, facilitating bibliometric analyses and related academic research.</p> <p>This compilation serves as an essential resource for researchers and educators interested in understanding the dynamics and development of the field of distance education, offering a solid foundation for future investigations and the formulation of evidence-based educational policies.</p>
Global Urban Activity Changes from COVID-19 Physical Distancing Restrictions Dataset: TRacking Anomalous COVID-19 induced changEs in NightTime Lights (TRACE-NTL)
<p>We use satellite-derived (NASA Black Marble) nighttime lights to identify, quantify, and map daily changes in human activity that are atypical for each urban area, globally, from the beginning of the pandemic until two years after its onset. The dataset TRACE-NTL consists of global daily urban disruption and recovery metrics as a response to COVID-19.</p> <p>TRACE-NTL:</p> <p>├───ancillary<br>├───data<br>└───metrics<br> ├───disruption<br> │ ├───change_segment<br> │ ├───city_uncertainty<br> │ ├───daily_change<br> │ └───daily_qa_flags<br> └───recovery</p> <p><a title="Dataset description" href="https://github.com/srijac/covid-19_Nightlights">https://github.com/srijac/covid-19_Nightlights</a></p> <p>Accompanying paper: Accompanying paper: Chakraborty, S., Stokes, E.C. & Alexander, O. Global urban activity changes from COVID-19 physical distancing restrictions. <em>Sci Data</em> <strong>12</strong>, 98 (2025). https://doi.org/10.1038/s41597-025-04398-x </p>
Dataset for Natural Auditory Feature-based Perceptual Distance
<p>Dataset accompanying manuscript "Natural Auditory Feature-based Perceptual Distance"</p>
Data from: Tireless travellers: Sea turtles swim continuously during long-distance movements
<p>While rest and sleep are crucial to animals, our understanding of whether and how long-distance migrants rest has been thwarted by the inability to relay high-resolution data from multi-channel loggers via satellite. We overcame these obstacles for an iconic long-distance migrator by equipping five loggerhead sea turtles (Caretta caretta) with satellite tags and data-loggers providing depth and 3-D acceleration measurements. Turtles were translocated to open-sea locations and induced to complete oceanic migrations of tens of km to return to their nesting beach performing active, oriented movements. Across a total of >600 hours of high-resolution data, we observed (i) constant flipper frequency (ca. 0.5 Hz) indicating that turtles never ceased movement, (ii) intense subsurface swimming (mostly around 1 m) for about 50% of time and (iii) deeper, less active dives up to 80 m, which were made day and night and more frequently in offshore waters. Flipper beat amplitude was much smaller in deep dives; hence the estimated energy expenditure was 37% lower on deep dives compared to subsurface swimming. These findings suggest that turtles, which can complete migrations of >2000 km, alternate between phases of intense near-surface swimming and periods of lower activity at depth, without fully resting during migration.</p>
Data from: Age dominates flight distance and duration, while body size shapes flight speed in Bombus terrestris L. (Hymenoptera: Apidae)
<p>Flight plays crucial role in the fitness of insect pollinators, such as bumble bees. Despite their relatively large body size compared to their wings, bumble bees can fly under difficult ambient conditions, such as cooler temperatures. While their body size is often positively linked to their foraging range and flight ability, the influence of age remains less explored. Here, we studied the flight performance (distance, duration, and speed) of aging bumble bee workers using tethered flight mills. Additionally, we measured their intertegular distance (ITD) and dry mass as proxies for their body size. We found that flight distance and duration was predominantly influenced by age, challenging assumptions that age does not play a key role in foraging and task allocation. From the age of 7 to 14 days, flight distance and duration increased six-fold and five-fold, respectively. Conversely, body size primarily impacted the maximum and average flight speed of workers. Our findings indicate that age substantially influences flight distance and duration in bumble bee workers, affecting foraging performance and potentially altering task allocation strategies. This underscores the importance of considering individual age and physiological changes alongside body size/mass in experiments involving bumble bee workers.</p>
Dataset for the Julia code titled "Image Similarity Detection using ORB & Julia : Leveraging Hamming Distance & Keypoint Optimization"
<p>The above Dataset contains</p> <p>1) Real PCB Pics</p> <p>2) Real Car Fusebox pics</p> <p>3) Real & Filtered Human face pics</p> <p>4) Readme file</p> <p>The above Dataset is designed to be used for the Julia Code titled "Image Similarity Detection using ORB & Julia : Leveraging Hamming Distance & Keypoint Optimization". The Code should be run on either similar PCB pics or Car Fusebox pics or Human Face Pics(Vikrant or Mat or Paris). Proper Choice of Hamming Distance & the number of Keypoints is necessary to achieve the desired number of similar images. </p>
Replication files for "Distance(s) and the volatility of international trade(s) (2024)" by Arnaud Mehl, Giulia Sabbadini, Martin Schmitz, and Cedric Tille, European Economic Review 167
<p>Replication files for "Distance(s) and the volatility of international trade(s) (2024)" by Arnaud Mehl, Giulia Sabbadini, Martin Schmitz, and Cedric Tille, European Economic Review 167. Science direct : https://www.sciencedirect.com/science/article/pii/S0014292124000862?via%3Dihub</p> <p>Contains three folder, each with detailed steps: </p> <p>-Replication_country_level_results</p> <p>-Replication_product_level_results</p> <p>-Tables_figures</p>
The Use of Open Educational Resources (OERs) in Teaching and Learning in Higher Education Distance Learning Programmes in Cameroon
<p>A cross sectional descriptive analysis was adopted for this study. The goal was to was find out the use OERs in teaching and learning in higher education distance learning by taking a snapshot from a cross-section of the population. The institution under study is the University of Buea. The research targeted all 25 students at the master level of the Distance Education Program in the Faculty of Education, University of Buea. All the students were purposively sampled due to the small nature of the target population. A carefully designed questionnaire was used for data collection. The questionnaire had both closed and opened-ended questions which required respondents to select from a variety of responses to cover the research questions. Data was calculated and presented using frequencies tables and bar charts. After getting description of student’s responses, an analysis was done to show the situation of the use of OERs and in teaching and learning.</p>
Fig. 2 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration
Fig. 2. Distribution of landmarks on P. rapae forewing and hind wing.
Mesiodistal distance of portuguese population
<p>Mesiodistal distance of portuguese population</p>
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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.