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438 results for “space time”
Radiation hardness of ultrabroadband spintronic terahertz emitters: En-route to a space-qualified terahertz time-domain gas spectrometer
<p>Data for the publication "Radiation hardness of ultrabroadband spintronic terahertz emitters: En-route to a space-qualified terahertz time-domain gas spectrometer" accepted for publication in Applied Physics Letters. The following datasets are provided: time-domain raw data (dry vs ambient conditions) and corresponding Fourier amplitude spectra as well as the impedance of the spintronic THz emitter vs frequency, THz transmission Fourier amplitude spectra from a spintronic THz emitter propagating through a gas cell with CO2 and N2, CO2 absorption coefficient vs frequency from THz transmission measurements through the gas cell, electro-optic THz signals and corresponding Fourier amplitude spectra for gamma and proton irradiated spintronic THz emitters as well as THz amplitudes vs irradiation dose/proton fluence.</p>
Data from: Ecological and anthropogenic drivers of waterfowl productivity are synchronous across species, space, and time
<p>We used hierarchical random-effects models to examine interspecific and spatial variation in annual productivity in six migratory ducks (i.e., American wigeon [<em>Mareca americana</em>], blue-winged teal [<em>Spatula discors</em>], gadwall [<em>Mareca strepera</em>], green-winged teal [<em>Anas crecca</em>], mallard [<em>Anas platyrhynchos</em>] and northern pintail [<em>Anas acuta</em>]) across six distinct ecostrata in the Prairie Pothole Region of North America (Alberta parkland, Alberta prairie, Saskatchewan parkland, Saskatchewan prairie, Manitoba parkland, US prairie). We tested whether breeding habitat conditions (seasonal pond counts, agricultural intensification, and grassland acreage) or cross-seasonal effects (indexed by flooded rice acreage in primary wintering areas) better explained variation in the proportion of juveniles captured during late summer banding. This submission comprises model code and data of banded birds by species, breeding population survey by species, proportion of ecostratum in conservation tillage (a proxy for agriculutral intensification), proportion of ecostratum in grassland, mean winter precipitation for Pacific Coast and Gulf Coast, total hectares of rice planted in the US, as well as hectares of flooded rice in the Pacific Coast and Gulf Coast. </p>
Data and codes related to the article: Renard et al. A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data. Water Resources Research.
<p>This package contains data and codes related to the article:</p> <p>B. Renard, M. Thyer, D. McInerney, D. Kavetski, M. Leonard and S. Westra. A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data. <em>Water Resources Research</em>.</p> <p><strong>R scripts</strong></p> <p>The main computations of the paper have been performed using a computing code named <a href="https://github.com/STooDs-tools">STooDs</a>, which is called using the bash script launchpad.sh.</p> <p>The R scripts in this package only perform pre-processing (create configuration files) and post-processing (analyze results) steps.</p> <ul> <li>Funk.R: a set of functions called by other scripts.</li> <li>1_defineModel.R: define the model to be inferred and create STooDs configuration files in <em>dataset_XXX/runs.</em></li> <li>2_analyzeResults.R: analyze the outputs of STooDs runs.</li> <li>3_crossValidation.R: analyze the outputs of cross-validation experiments in <em>dataset_XV</em> and <em>dataset_XV_1971-1990</em>.</li> </ul> <p><strong>Data</strong></p> <p>Data for the 3 cases (full dataset and 2 cross-validation experiments) are located in folders <em>dataset_XXX/data</em>.</p> <ul> <li>dat.txt: raw dataset in text format.</li> <li>dataset.RData: dataset in RData format.</li> <li>DMI.txt, NINO.txt, SAM.txt: 3 standard climate indices.</li> <li>spaceP.txt, spaceQ.txt, spaceT.txt: properties of Precipitation (P), Streamflow (Q) and Temperature (T) stations.</li> <li>[only for cross-validation experiments] validation.RData: left-out data used for validation.</li> </ul> <p> </p> <p> </p>
Kinematic catalog of 2,174 planet host stars from Planet across space and time (PAST). I
<p>We present a catalog of kinematic properties (i.e., Galactic positions, velocities, and the relative membership probabilities among the thin disk, thick disk, Hercules stream, and the halo) as well as other basic stellar parameters (e.g., effective temperature, metallicity) for 2174 host stars of 2872 planets by combining data from Gaia DR2, LAMOST DR4, APOGEE DR16, RAVE DR5, and the NASA exoplanet archive by applying the revised kinematic methods from Planet across space and time (PAST). I.</p> <p>we will continue to update our catalogue with the release of new data in the future.</p> <p> </p>
Data from: Iridescence untwined - Honey bees can separate hue variations in space and time
<p><span>Iridescence is a phenomenon whereby the hue of a surface changes with viewing or illumination angle. Many animals display iridescence but it currently remains unclear whether relevant observers process iridescent color signals as a complex collection of colors (spatial variation), or as moving patterns of colors and shapes (temporal variation). This is important as animals may use only the spatial or temporal component of the signal, although this possibility has rarely been considered or tested. Here, we investigated whether honey bees could separate the temporal and spatial components of iridescence by training them to discriminate between iridescent disks and photographic images of the iridescent patterns presented by the disks. Both stimuli therefore contained spatial color variation, but the photographic stimuli do not change in hue with varying angle (no temporal variation). We found that individual bee observers could discriminate the variable patterns of iridescent disks from static photographs during unrewarded tests. Control experiments showed that bees reliably discriminated iridescent disks from control silver disks, showing that bees were processing chromatic cues. These results suggest that honey bees could selectively choose to attend to the temporal component of iridescence signals to make accurate decisions. </span></p>
Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space).
<p>Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space), and figures.</p>
OT Plasma Space-Time
<p>Magnetohydrodynamics Vortex Benchmark designed to study Turbulences (from Orszag et al. Small-scale structure of two-dimensional magnetohydrodynamic turbulence)</p>
LW3 Plasma Space-Time
<p>Magnetohydrodynamics Benchmark from a 2D Riemann Problem based on Case 3 (from Liska et al. Comparison of several difference schemes on 1d and 2d test problems 207 for the euler equations).</p> <p>Since this is technically a hydrodynamic benchmark, its plasma state vectors are inflated by adding the magnetic variables B and setting them to zero.</p>
GEM Plasma Space-Time
<p>Magnetohydrodynamics Reconnection Benchmark (from the Geospace Environmental Modeling (GEM) magnetic reconnection challenge)</p>
Movies (II) for "3D Space-Time Adaptive Hybrid Simulations of Magnetosheath High-Speed Jets"
<p>Movies for the aforementioned paper showing magnetic field lines, dynamic pressure and plasma density in global magnetospheric simulations. NW and SW refer to quasi-radial northward and southward IMF. </p> <p>https://doi.org/10.1029/2020JA029035</p>
Data and code for: Predicting rapid adaptation in time from adaptation in space: a 30-year field experiment in marine snails
<p>Scripts and data used in the research study <strong>Predicting rapid adaptation in time from adaptation in space: a 30-year field experiment in marine snails</strong>.</p> <p><a href="https://doi.org/10.1101/2023.09.27.559715" target="_blank" rel="noopener">https://doi.org/10.1101/2023.09.27.559715</a></p>
Space time cube for precipitation derived from 24h hours of metereological radar data
<p>The animation depicts a 24h space-time cube derived from radar-metereologic data recorded by the x-band radar station of the South African Weather Service for the Liebenbergvlei in the Freestate, South Africa on December 31 2001. The temporal resolution (z) is 5 Minutes, starting on 2001-12-31 00:00:00 hours, ending on 2001-12-31 23:55:00 hours. Spatial resulution please see. The spatial resolution (xy) is 1km, covering a radius of 200km from the radar station. Tempospatial zones of weak precispitation are colored in blue, zones of severe precipitation are colored in yellow.</p> <p>Data processing was done in GRASS v6.x, visualisation was done in Paraview.</p>
Data, plotting scripts, and figures for "A Projective Method for Solving the Single-Group Space-Time Neutron Kinetics Equations with Precursor Advection"
<p>Contains all the files necessary for figure reproduction.</p>
Fig. 4 in Variability Of The Phenotypic Composition Of Cepaea Hortensis (Gastropoda, Helicidae) In Western Ukraine: In Space And Time
Fig. 4. Theoretical ratio of genotype frequencies among carriers of the recessive allele (presence of bands) depending on the percentage of banded individuals at the site.
Fig. 2 in Variability Of The Phenotypic Composition Of Cepaea Hortensis (Gastropoda, Helicidae) In Western Ukraine: In Space And Time
Fig. 2. The number of studied sites in Lviv with different frequencies of banded, yellow and white unbanded shells. The numerals on the abscissa indicate the frequency intervals: 0 — absent, 1 — up to 10 %, 2 — from 11 to 20 %, etc.
Fig. 1 in Variability Of The Phenotypic Composition Of Cepaea Hortensis (Gastropoda, Helicidae) In Western Ukraine: In Space And Time
Fig. 1. Location of the sites in Lviv used for the quantitative study of the shell coloration variability of C. hortensis in 1999–2004 (A) and in 2015–2021 (B).
CLDF version for Nichols 1992: Linguistic diversity in space and time
<p>Cite the CLDF dataset as <a href="https://doi.org/10.5281/zenodo.13605418"></a></p>
FIG. 1 in A new Pennsylvanian Oriocrassatellinae from Brazil and the distribution of the genus Oriocrassatella in space and time
FIG. 1. — Paleogeographic distribution of Oriocrassatella Etheridge Jr., 1907 in the:A, Carboniferous;B, Lower Permian;C, Upper/Middle Permian. Paleogeography according to Scotese's Climate Story at www.scotese.com. Numbers according to references in Figure 2.
FIG. 3. — A in A new Pennsylvanian Oriocrassatellinae from Brazil and the distribution of the genus Oriocrassatella in space and time
FIG. 3. — A, map showing the area of occurrence of the Upper Carboniferous Piauí Formation (in black) in the Parnaíba Basin, northeastern Brazil; B, localization of the outcrop of Mucambo dolostone; C, stratigraphic section showing the Mucambo dolostone.
FIGURE 3 in Ecological conditions predict the intensity of Hendra virus excretion over space and time from bat reservoir hosts
FIGURE 3 Variation in HeV AUC from flying foxes. (A) The forest plot displays annual estimates and 95% confidence intervals ordered by latitude and year; points are scaled by the inverse sampling variance. The horizontal axis uses a modulus transformation to accommodate wide upper bounds of some confidence intervals. (B) Fitted values and 95% confidence intervals for the top GAM, with raw data (scaled by inverse sampling variance) and modelled means coloured by roost type. Transparency denotes AUC derived from truncated time series (≤20 weeks)
ScienceDex guides
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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.