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Dataset results
132 results for “Swift”
Solitaire™ With the Intention For Thrombectomy as PRIMary Endovascular Treatment (SWIFT PRIME) Trial
ClinicalTrials.gov study NCT01657461. IPD Sharing: Not stated. Countries: 1. Publications: 10.
SWiFT Canada (Study of Whole Blood in Frontline Trauma)
ClinicalTrials.gov study NCT06495294. IPD Sharing: YES. Countries: 1. Publications: 1.
Swift parrot data including the sex of offspring and their hatch order
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Data from: Gliding for a free lunch: biomechanics of foraging flight in Common Swifts (Apus apus)
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Data from: Three-dimensional trajectories and network analyses of group behaviour within chimney swift flocks during approaches to the roost
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Data from: Heading west: Ecology of swift foxes in a novel landscape beyond their range
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Data from: Offspring telomere length in the long lived Alpine swift is negatively related to the age of their biological father and foster mother
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NuSTAR and Swift spectra of 4U 1901+03 during its 2019 outburst
<p>NuSTAR spectra covering 3.0-79.0 keV and Swift spectra covering 0.5-10.0 keV of 4U 1901+03 during its 2019 outburst. There are two folders - NuSTAR and Swift.</p> <p>Within the NuSTAR folder, there is a folder for each epoch of observations. Within each of these, the data, plots for each model tested, and subfolder with cornerplot and MultiNest files are included.</p> <p>Within the Swift folder, there are 2 subfolders - the data, and the results. Within each, there are subfolders for each epoch of Swift data. The results folders include corner plots, model and residual plots, and the output files from MultiNest.</p>
Dataset for SciPost Phys. 9, 064 (2020) - Engineered swift equilibration of brownian particles: consequences of hydrodynamic coupling
<p> </p> <p><strong>1) "indep_tf25_Kf15_std18" and "sym3_tf35_Kf14_std25" Matlab files. </strong></p> <p>Each file is in Matlab format and contains 2 variables : "header" which contains the date, the number of samples and the sampling frequency of the acquisition, and "data" which is a 1D array. This array stores side by side the voltage corresponding to each of the four quadrants of the photodiode and the controled voltage that drives the intensity of the first laser beam (sent to the AOD).</p> <p>For example, in order to put together the voltage of the 1st quadrant of the photodiode we have to read one every 5 points from the array.</p> <p>Each file contains several protocols, depending on the duration of the protocol.</p> <p> "indep_tf25_Kf15_std18" : Those files corresponds to the response of the 1st particle to the Coupled ESE of the Figure 6</p> <p><strong>2) "Analyse_data_ESE_protocol" Matlab file </strong></p> <p>This script is written to analyse data format like the ones of this datasheet. If uses the data array to build the variance of the particle during the protocol. </p> <p>It was used to plot all the experimental results of the paper.</p> <p>"sym3_tf35_Kf14_std25" : Those files corresponds to the response of the 1st particle to the Symmetric ESE of the Figure 6</p> <p><strong>3) The "_result"</strong> is the post-treatment file obtained with the "Analyse_data_ESE_protocol" script.</p> <p><strong>4) "Figure_2" "Figure_6" "Figure_8" Matlab figures</strong></p> <p>Those Matlab files contains all the treated data (including error bars) used to plot the figures 6, 2, 8. </p> <p><strong>5) "equilibrium_correlation_fuctions' Mathematica file</strong></p> <p>This file is a computation notebook in Mathematica language that computes the expression of the correlation functions and plot them as in Figure 3</p> <p><strong>6) "Response_to_sym_protocol" Mathematica file </strong></p> <p>This file is a computation notebook in Mathematica language that, knowing the distance between the particles, predicts the variance evolution of the particles during the symmetric protocol by solving the coupled evolution equations. It was used to plot Figure 4 and for all theoretical predictions in other figures.</p> <p> </p> <p> </p> <p>All the programs are filled of comments that detail how to use them. </p>
Data, analysis scripts, and simulations files for "Direct formation of nitrogen-vacancy centers in nitrogen doped diamond along the trajectories of swift heavy ions"
<p>Measured data and analysis script, as well as, simulated data, and input scripts for our publication "Direct formation of nitrogen-vacancy centers in nitrogen doped diamond along the trajectories of swift heavy ions"</p>
Data from: Exploiting the richest patch has a fitness pay-off for the migratory swift parrot
1. Unlike philopatric migrants, the ecology of nomadic migrants is less well understood. This life-history strategy reflects responses to spatiotemporal variation in resource availability and the need to find resource rich patches to initiate breeding. The fitness consequences of movements between regions of patchily distributed resources can provide insight into ecology of all migrants and their responses to global change. 2. We link broad-scale data on spatiotemporal fluctuation in food availability to data on settlement patterns and fitness outcomes for a nomadic migrant, the endangered swift parrot Lathamus discolor. We test several predictions to determine whether facultative movements are adaptive for individual swift parrots in an environment where resources are patchily distributed over time and space. 3. Variation in the availability of swift parrot food resources across our study period was dramatic. As a consequence, swift parrots moved to breed wherever food was most abundant and did not resettle nesting regions in successive years when food availability declined. By moving, swift parrots exploited a variable food resource and reproduced successfully. 4. Exploiting the richest patches allowed swift parrots to maintain stable fitness outcomes between discrete breeding events at different locations. Unlike sedentary species that often produce few or lower quality offspring when food is scarce, nomadic migration buffered swift parrots against extreme environmental variation. 5. We provide the first detailed evidence that facultative movements and nomadic migration are adaptive for individuals in unpredictable environments. Our data support the widely held assumption that nomadic migration allows animals to escape resource limitation.
Data from: 'Same procedure as last year?' Repeatedly tracked swifts show individual consistency in migration pattern in successive years
Individual migration pattern during non-breeding season is still a black box in many migratory birds. However, knowledge on both individual level and population level in migration and overwintering is fundamental to understand the life cycle of these birds and the constraints affecting them. We showed in a highly aerial migrant, the common swift Apus apus, that repeatedly tracked birds breeding at one site in Germany used the same individual-specific migration routes and wintering areas in subsequent years. In contrast, different individuals from the same breeding colony showed diverse movement patterns during non-breeding season suggesting that several suitable areas for overwintering coexist. We found lower variation in timing of autumn and spring migration within than between individuals. Our findings provide first indication of individual consistency but between-individual variation in migration pattern in a small non-passerine bird revealed by geolocators. This supports that swifts have diverse but individual-specific 'step-by-step' migration patterns revealing high flexibility through individual strategies.
Swift-BAT Response Files for NITRATES: Forward Ray Tracings at IMX > 0
<p>These tarred files contain the forward ray tracings onto the BAT detector plane for source positions at IMX ranging from 0.0 to 1.8 and IMY ranging from -1 to 1 with a grid spacing of 0.002. The files are in a npy format and are designed for use in the NITRATES analysis. </p>
Swift-BAT Response Files for NITRATES: Forward Ray Tracings at IMX < 0
<p>These tarred files contain the forward ray tracings onto the BAT detector plane for source positions at IMX ranging from -1.8 to 0.0 and IMY ranging from -1 to 1 with a grid spacing of 0.002. The files are in a npy format and are designed for use in the NITRATES analysis. </p>
On following pages: 24. Arctic Fox (Alopex lagopus); 25. Swift Fox (Vulpes velox); 26. Kit Fox (Vulpes macrotis). in Canidae
On following pages: 24. Arctic Fox (Alopex lagopus); 25. Swift Fox (Vulpes velox); 26. Kit Fox (Vulpes macrotis).
On following pages: 17. Philippine Large-headed Fruit Bat (Dyacopterus rickarti); 18. Blanford's Fruit Bat (Sphaerias blanfordi); 19. Bornean Spotted-winged Fruit Bat (Balionycteris maculata); 20. Malayan Spotted-winged Fruit Bat (Balionycteris seimundi); 21. Bornean Pygmy Fruit Bat (Aethalops aequalis); 22. Common Pygmy Fruit Bat (Aethalops alecto); 23. Common Swift Fruit Bat (Thoopterus nigrescens); 24. Suhaniah's Swift Fruit Bat (Thoopterus suhaniahae); 25. Mindanao Pygmy Fruit Bat (Alionycteris paucidentata); 26. Fischer's Pygmy Fruit Bat (Haplonycteris fischeri); 27. Luzon Pygmy Fruit Bat (Otopteropus cartilagonodus); 28. Salim Ali's Fruit Bat (Latidens salimalii): 29. Sundaic Black-capped Fruit Bat (Chironax melanocephalus); 30. Sulawesi Black-capped Fruit Bat (Chironax tumulus); 31. Lucas's Short-nosed Fruit Bat (Penthetor lucasii). in Pteropodidae
On following pages: 17. Philippine Large-headed Fruit Bat (Dyacopterus rickarti); 18. Blanford's Fruit Bat (Sphaerias blanfordi); 19. Bornean Spotted-winged Fruit Bat (Balionycteris maculata); 20. Malayan Spotted-winged Fruit Bat (Balionycteris seimundi); 21. Bornean Pygmy Fruit Bat (Aethalops aequalis); 22. Common Pygmy Fruit Bat (Aethalops alecto); 23. Common Swift Fruit Bat (Thoopterus nigrescens); 24. Suhaniah's Swift Fruit Bat (Thoopterus suhaniahae); 25. Mindanao Pygmy Fruit Bat (Alionycteris paucidentata); 26. Fischer's Pygmy Fruit Bat (Haplonycteris fischeri); 27. Luzon Pygmy Fruit Bat (Otopteropus cartilagonodus); 28. Salim Ali's Fruit Bat (Latidens salimalii): 29. Sundaic Black-capped Fruit Bat (Chironax melanocephalus); 30. Sulawesi Black-capped Fruit Bat (Chironax tumulus); 31. Lucas's Short-nosed Fruit Bat (Penthetor lucasii).
Data release of the Swift-LVK subthreshold search during the third LIGO-Virgo-KAGRA observing run
<div> <div>Here we describe the structure of the data release.</div> <br> <div>1. The folder fits contains all the upper limit maps in the for of fits files. Run the code plot_maps_paper.py to obtain the figures 3 and 4 of the paper</div> <br> <div>2. The folder pdf contains all the upperlimit maps, with the GW sky localizations, in pdf format</div> <br> <div>3. The file lum.csv contains the data to reproduce Fig. 6. If the 'cred' colums is empty, then the event is only detected in low latencyl. If 'no' then the event has p_astro<0.5, otherwise it has p_astro>0.5.</div> <br> <div>4. The file joint_far.cvs contains the data to reproduce the Figure 7. Columns are self explanatory</div> <br> <div>5. The file data_BBH.txt, data_BBH_highpastro.txt, data_BBH_allreal.txt, data_BBH_allreal_earth.txt contain the likelihood to produce Figs 8-9-10-11. The plots are produced runnning read.py and read_allreal.py</div> <br> <div>6. All the tables are provided in cvs format</div> </div>
FIGURES 14‑17 in Parasitic On Swifts (Aves, Apodiformes, Apodidae) In Brazil
FIGURES 14‑17: Dennyus (D.) malagonensis sp. nov.: male holotype in dorsal (14) and ventral (15) views; female paratype in dorsal (16) and ventral (17) views. Scale bars = 0.2 mm
FIGURES 18‑26 in Parasitic On Swifts (Aves, Apodiformes, Apodidae) In Brazil
FIGURES 18‑26: Dennyus (D.) pascoliae sp. nov.: female head, in dorsal view (18); prosternal plate (19); male genital sclerite (21); sternal plate II (23); male genitalia (25). Dennyus (D.) malagonensis sp. nov.: prosternal plate (20); male genital sclerite (22); sternal plate II (24); male genitalia (26). Scale bars = 0.1 mm (Figs. 18-20, 23-26); = 0.05 mm (Figs. 21, 22).
FIGURES 10‑13 in Parasitic On Swifts (Aves, Apodiformes, Apodidae) In Brazil
FIGURES 10‑13: Dennyus (D.) pascoliae sp. nov.: male holotype in dorsal (10) and ventral (11) views; female paratype in dorsal (12) and ventral (13) views. Scale bars = 0.2 mm
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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.