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1,445 results for “Distances”
Neural Joint Space Implicit Signed Distance Functions [Data & Code]
<p>These data files containg code sources for dataset creation & model learning (neural-jsdf.zip) and collected synthetic dataset of free & collided postures for robotic arm Franka (sdf_3m_full_mesh.mat). Follow the Readme.MD files to launch the code if needed.</p> <p>Corresponding Git repo: https://github.com/epfl-lasa/Neural-JSDF</p>
CBP01 Variable distance line-transect sampling of bird population numbers in different habitats on Konza Prairie (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/339/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/26/11. The abstract below was extracted from the Level 0 data package and is included for context: Records of bird species based on line transect sampling, giving perpendicular distance of sighting from the transect line on 16 separate transects. Bird surveys were conducted 2-4 times per year in January, April, June, and October for a 29-year period from 1981 to 2009. Transects were designed to determine bird communities and population numbers associated with tallgrass prairie habitats with different experimental treatments (fire frequency, grazed by bison vs. ungrazed), riparian habitats on forest edge, and gallery forests dominated by oak woodland.
Seed dispersal data for Warneke et al "Habitat fragmentation alters the distance of abiotic seed dispersal through edge effects and direction of dispersal"
This csv file contains seed dispersal data for five species (Carphephorus bellidifolius, Aristida beyrichiana, Liatris squarrulosa, Sorghastrum secundum, and Anthenantia villosa). Data were collected at the Savannah River Site, near Aiken, South Carolina, United States. Data were collected between November 17, 2009, to January 22, 2010 and were collected using the methods outlined in this document.
Pocket gopher esker-krummholz distance data for Martinelli slope and North of Tvan, 1995.
Two ares of Niwot Ridge were examined for simultaneous occurrences of krummholz and eskers created by Thomomys talpoides (Northern pocket gopher) burrowing, to establish a relationship between snowpack and gopher habitat. The krummholz east and northeast of the Martinelli slope and the krummholz north of T-van were surveyed for the abundance of gopher eskers. Using a tape measure, the minimum and maximum distances of the eskers from the krummholz vegetation were measured, with a value of 0 m indicating that the nearest soil core was immediately adjacent to or actually underlying a branch of the tree. With the use of a compass, both the northernmost and southernmost bearings were measured from the krummholz to the esker. The krummholz were tagged at the northeasternmost point whenever possible for consistency, or the northernmost branches of the leeward side of the tree island. All measurements were taken from the nearest protruberance of the krummholz.
Influence of Paleolithic Range Contraction, Admixture and Long-Distance Dispersal on Genetic Gradients of Modern Humans in Asia
<p>Each folder is identified according to the scenario, and contains another folder with the input files (files *.txt, *.par, *.sam, *.asc) to simulate it, the corresponding simulated genetic data (files *.arp) and the derived PC maps (files *.png). A file with the locations of the samples is also included (coord.txt).</p> <p>* Pure Paleolithic expansion * <br> The folder “Paleo” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion, ignoring the range contraction induced by the LGM and LDD events.</p> <p>* Pure Paleolithic expansion considering the range contraction induced by the LGM * <br> The folder “Paleo_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion suffering the range contraction induced by the LGM.</p> <p> * Pure Paleolithic expansion considering long-distance dispersal (LDD) events * <br> The folder “Paleo_LDD” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a pure Paleolithic expansion considering LDD events. </p> <p>* Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and East Asia considering the range contraction induced by the LGM * <br> The folder “Paleo2NeoIR0_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and later from East Asia suffering the range contraction induced by the LGM. </p> <p>* Paleolithic expansion followed by two Neolithic expansions (IR=0) from Middle East and East Asia considering LDD events * <br> The folder “Paleo2NeoIR0_LDD” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by two Neolithic expansions from Middle East and later from East Asia considering LDD events. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from Middle East considering the range contraction induced by the LGM * <br> The folder “Paleo_MiddleEastNeoIR0_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0) from Middle East suffering the range contraction induced by the LGM. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering the range contraction induced by the LGM * <br> The folder “Paleo_EastAsiaNeoIR0_REC” contains the input files (INFILES) and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia suffering the range contraction induced by the LGM. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from Middle East considering LDD events * <br> The folder “Paleo_MiddleEastNeoIR0_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0) from Middle East considering LDD events. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering LDD events * <br> The folder “Paleo_EastAsiaNeoIR0_REC” contains the input files (INFILES) the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0) from East Asia considering LDD events. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from Middle East considering the range contraction induced by the LGM * <br> The folder “Paleo_MiddleEastNeoIR004_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia suffering the range contraction induced by the LGM. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering the range contraction induced by the LGM * <br> The folder “Paleo_EastAsiaNeoIR0_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0.04) from East Asia suffering the range contraction induced by the LGM. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from Middle East considering LDD events * <br> The folder “Paleo_MiddleEastNeoIR004_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering LDD events. </p> <p>* Paleolithic expansion followed by a single Neolithic expansion (IR=0.04) from East Asia considering LDD events * <br> The folder “Paleo_EastAsiaNeoIR0_REC” contains the input files (INFILES), the genetic data and the corresponding PC maps simulated under the scenario of a Paleolithic expansion followed by a single Neolithic expansions (IR=0.04) from East Asia considering LDD events.</p>
NYU FloodSense Gowanus Canal mounted distance sensor
<p>Ultrasonic distance data in mm from a sensor mounted above the Gowanus Canal, Brooklyn, NY (40.674490, -73.994458). The sensor is designed to detect flood water that fills the street and blocks vehicle and pedestrian traffic, as well as depositing micro-organisms on the street. This one is used for data validation.</p> <p>The sensor transmits its data via LoRaWAN and is equipped with a solar panel for continuous operation.</p> <p>Data is collected at ~5min intervals. Time fields are in local time (New York).</p> <p>One type of erroneous data has been observed:</p> <ul> <li>There are ~1% rises in distance measures on days with sun which suggests that the distance sensor is affected by direct sunlight</li> </ul> <p>This data is prelimary and is for prototyping purposes. Not to be used as a reliable data source as it is.</p> <p>This dataset will be updated when more data is collected.</p> <p>Please see our github org for sensor information and build instructions: <a href="https://github.com/floodsense">github.com/floodsense</a></p>
Experiment data in support of "Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease"
<p>This archive contains a ZIP archive, `data.zip`, that itself contains the data used in the final sections of the paper. The remainder of the paper's supporting files are available at <a href="https://github.com/daffidwilde/copd-paper/">github.com/daffidwilde/copd-paper/</a></p> <p>The ZIP archive is structured as follows:</p> <ul> <li>There is a directory, `wasserstein`, for the parameter sweep described in the model construction section of the paper. Its contents are: (i) a file, `main.csv`, describing each parameter and their maximal Wasserstein distance to the observed data, and (ii) three directories, `best`, `median` and `worst`, each containing the simulated queuing results (in `main.csv`) from that sweep with the best, median and worst found parameter sets, respectively (in `params.txt`).</li> <li>The remaining three directories correspond to the experiments conducted in the final section of the paper. Each directory contains two files: (i) `system_times.csv` which holds trial parameters and system time records for every patient to pass through the model in that experiment, and (ii) `utilisations.csv` which holds trial parameters and utilisations for each server in the model for that experiment.</li> </ul>
Fig. 3 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids
Fig. 3. Mean of flight initiation distances for the three labrid species studied in MUAs (Multiple-use areas) and NTAs (No-take areas) in Abrolhos. The upper limits of lines indicate standard deviation; *symbols indicate significant differences according to ANCOVA; **(p <0.001).
Fig. 4 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids
Fig. 4. Relationship between flight initiation distances (FID), group size and body size (continuous covariates) inside NTAs and MUAs (categorical factor). Black dots represent samples from no-take areas (NTAs); white dots represent samples from multiple-use areas (MUAs). The continuous line represents the best fit for MUAs data and the dotted line that for NTAs data.
Fig. 1 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids
Fig. 1. Map of study area showing sampled sites (MUAs: Multiple-use areas; NTAs: No-take areas) in the Abrolhos bank.
Fig. 5 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids
Fig. 5. Average group size (a) and body size (b) estimated for the three labrids studied in both no-takes (NTAs) and multiple-use areas (MUAs) sampled in the Abrolhos Bank. The upper limits of lines indicate standard error.
Distance from forest edge in the Pantropics
<p>distancefromforestedge_pantropics.zip - a zipped geotiff file in WGS84 coordinates whose pixel values indicate the distance in meters to the nearest forest edge as defined by: Baccini, A., Goetz, S.J., Walker, W.S., Laporte, N.T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P.S.A., Dubayah, R., Friedl, M.A., Samanta, S., Houghton, R.A., 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2, 182–185.</p> <p>regression_coefficients_as_shapefile - for calculating biomass storage within 100km grid cells across the pantropics. projected spatially as an ESRI Shapefile where the methods are defined as:</p> <p>method 1: Biomass= θ_1-θ_2⋅exp(-θ_3⋅Distance)</p> <p>method 2: Biomass= β_0+β_1⋅ln(Distance)</p> <p>method 3: Biomass = \eta_0+\eta_1 * Distance</p>
MCMC chains for distance and structural parameters of Pisces A&B dwarf galaxies
<p>These are Markov Chain Monte Carlo chains for Hubble Space Telescope observations of the dwarf galaxies Pisces A&B. More details on how they are derived will be provided in a forthcoming ApJ paper.</p>
Universal safety distance alert device for road vehicles - Testing videos
<p>Testing the Universal safety distance alert device for road traffic in simulated and in real traffic.</p>
List of putatively rare species in the Neotropics and Amazonia, with distance between doubletons
<p>Appendix to Zizka et al 2016</p> <p>Species occurrences in Appendix 3 downloaded from www.gbif.org, doi:10.15468/dl.om11gi.</p>
Raw data used for COI delineation of the Eupolybothrus species: Authors: Stoev et al. 2013 Data type: genomic The archive contains the following data: 1) fasta-Alignment as the basis for all analyses (.FASTA), 2) mega-file for the calculation of the genetic distances and the NJ tree (.MDSX), 3) NJ-tree in Newick format (.NWK), 4) graph of the TCS Software for the Statistical Parsimony method (.GRAPH) File: E_cavernicolus.rar from: Eupolybothrus cavernicolus Komerički & Stoev sp. n. (Chilopoda: Lithobiomorpha: Lithobiidae): the first eukaryotic species description combining transcriptomic, DNA barcoding and micro-CT imaging data - Biodiversity Data Journal 1: e1013 (28 October 2013) https://doi.org/10.3897/BDJ.1.e1013
<p>Authors: Stoev et al. 2013 Data type: genomic The archive contains the following data: 1) fasta-Alignment as the basis for all analyses (.FASTA), 2) mega-file for the calculation of the genetic distances and the NJ tree (.MDSX), 3) NJ-tree in Newick format (.NWK), 4) graph of the TCS Software for the Statistical Parsimony method (.GRAPH) File: E_cavernicolus.rar</p>
Data + Analyses: "Gaze-dependent Coding of Somatosensory Reach Targets after Effector Movement: Testing the Impact of Online Information, Movement Timing, and Target Distance"
<p>This upload contains the experiment scripts (written in Presentation), data, and analyses (performed with MATLAB and SPSS) underlying the publication<strong> </strong>by Mueller & Fiehler (2017). <em>PloS one</em>. doi:<strong>10.1371/journal.pone.0180782</strong></p>
Speed discrimination and distance reproduction data.
<p><strong>Data related to the following publication:</strong></p> <p>Jan Churan, Johannes Paul, Steffen Klingenhoefer, Frank Bremmer (in press), Integration of visual and tactile information in reproduction of traveled distance. Journal of Neurophysiology. doi: 10.1152/jn.00342.2017</p> <p><strong>Description:</strong></p> <p>Speed discrimination</p> <p>In the speed discrimination task, the subject was presented with a standard stimulus and a comparison stimulus (each 2 s long with a break of 500 ms in between). The standard stimulus was always presented first at a speed of either 3, 5 or 7 arbitrary units (AU)/s. The comparison stimulus was chosen from a range of +- 2 AU/s around the speed of the standard stimulus. After both stimuli had been presented, subjects had to indicate which one was perceived as faster by pressing one of two buttons. The combination of three standard speeds and two modality conditions resulted in 6 experimental conditions. In each condition 41 trials were performed that covered the given range of +- 2 AU/s in equidistant steps of 0.1 AU/s. In this discrimination task, each experimental condition was presented only once. The trials were conducted in a pseudo-randomized order.</p> <p>Distance reproduction</p> <p>In the first experiment, we tested the ability of the subjects to reproduce a previously passively observed traveled distance using visual, tactile or bi-modal feedback. The subject was presented with a simulation of self-motion over a certain distance. The speeds during this presentation were always constant at 4 or 7 AU/s and the distances were either 5, 10 or 15 AU. In this first phase the stimulation was always bi-modal. After this presentation and a brief pause of 500 ms the task of the subject was to reproduce the passively observed distance using a joystick. In this second part either only the visual information, only the tactile information, or both modalities were available. The order of all conditions was pseudo-random.</p> <p>Re-scaling of tactile information</p> <p>In the second experiment we investigated the effect of re-scaling of tactile information on the reproduced traveled distance. All simulated self-motion was bi-modal. The subjects were passively observing a simulated self-motion over a certain distance. The speed of this motion was not constant but had a sinusoidal profile with a peak speed at either 5 or 7 AU/s. The traveled distances were either 10, 15 or 20 AU. After the first presented distance and a brief gap of 500 ms another distance was presented passively. The speed profile of this second movement consisted of three different speeds between 3 AU/s and 10 AU/s. The distance covered by this second passive movement was always one third of the first passive distance but the subjects were neither informed about nor aware of this relationship. After the second presentation had stopped, the task of the subjects was to actively reproduce the first observed distance as a sum of the second passively observed distance and the subsequent active motion. In random 10% of the trials the tactile component of the motion was scaled up by 25% and in another 10% of the trials it was down-scaled by 25%. This means that the speed of the air flow on these trials was 25% faster (or slower) than in the rest of the trials. The re-scaling was applied only during the second passive motion and the active reproduction part of each trial. The subjects were not informed about and were not aware of this manipulation.</p> <p>The experiments on distance reproduction and tactile rescaling were performed in two variations that differed in the relationship between the speed of the tactile stimulus and the speed of self-motion. While in the congruent condition the speed of the air flow was directly proportional to the speed of visual self-motion, in the incongruent condition the relation of the two measures was inversely proportional. The congruent and the incongruent configurations were always used in both, the presentation as well as in the reproduction phase of a trial. Importantly, a purely visual stimulation used in the two conditions was identical in both cases. The subjects were informed that in the incongruent experiments slow speed of air flow indicates a fast speed of self-motion. To avoid any confusion, separate groups of subjects were tested in the congruent and in the incongruent conditions.</p>
Supplementary material for "Playback experiments highlight the importance of nearest-neighbor distance and social information for nest site selection in the House Martin (Delichon urbicum)"
<p><strong>Abstract</strong></p> <p>Understanding nest site selection is crucial for species conservation. Bird conservation often involves installing nesting aids to increase nest site availability and induce colonization of unoccupied sites. However, prospecting individuals must find nesting aids, which may be facilitated by social information. Here, we investigated the effectiveness of artificial nests and playback in the declining, migratory House Martin <em>Delichon urbicum</em>. We selected unoccupied sites with artificial nests along a distance gradient to occupied sites and broadcasted conspecific vocalizations during prospection times of House Martins in both the post- and the following pre-breeding periods. Visitation and colonization rates increased considerably in proximity to occupied sites. Playback during the post-breeding and pre-breeding periods enhanced visitation rates, while pre-breeding-only and post-breeding-only playback had smaller positive effects. Colonization rate increased exclusively with pre-breeding-only playback. Colonized playback and non-playback sites had similar breeding success, indicating that playback did not create ecological traps by attracting House Martins to suboptimal sites. Hence, broadcasting conspecific vocalizations informs prospecting birds of nest site availability, thereby increasing visitation, and to some degree, colonization of unoccupied House Martin sites. To boost colonization, we recommend installing artificial House Martin nests within approximately 500 meters of occupied sites and using playback of conspecific vocalizations.</p>
Synergistic polyploidization and long-distance dispersal enable the global diversification of yellowcresses (Rorippa, Brassicaceae)
<div> <strong>Aim</strong>: Long-distance dispersal (LDD) plays an important role in shaping the distribution of global biodiversity. Polyploidy could favor invasion and thereby facilitate LDD. However, how and to what extent polyploidy interacts with LDD is unclear. Here, we test the putative role of polyploidy in the global dispersal of <em>Rorippa</em> species.</div> <div> </div> <div> <strong>Location</strong>: Global.</div> <div> </div> <div> <strong>Time</strong> <strong>period</strong>: Late Miocene to present.</div> <div> </div> <div> <strong>Major taxa studied</strong>: <em>Rorippa</em>.</div> <div> </div> <div> <strong>Methods</strong>: We traced the biogeographic and speciation history for 17 diploids and 41 polyploids of <em>Rorippa</em> using variation from plastid genomes and multiple nuclear loci. The ploidy role in dispersal rate difference was demonstrated using trait-dependent biogeographic modeling.</div> <div> </div> <div> <strong>Results</strong>: LDD shaped the amphitropical disjunction of <em>Rorippa</em>, during which polyploids showed higher dispersal rates than those of diploids, with 5.6× increase under the best-fitted model. Five diploids and 21 polyploids were identified as products of transoceanic speciation events. Polyploidy-involved LDD was more common in terms of polyploidization following LDD than those preceding LDD.</div> <div> </div> <div> <strong>Main</strong> <strong>conclusions</strong>: We demonstrate that polyploidy would be not only a driver but also a responder of LDD in <em>Rorippa</em>, highlighting a synergistic relationship between them. Our results provide a framework to uncover the biogeographic consequences of polyploidization and the joint roles of polyploidy and LDD in shaping the distribution of biodiversity.</div>
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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.