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1,891 results for “Field data”
Determining the absolute temporal field of ultra-broadband terahertz-infrared pulses with field-induced second-harmonic spectrograms - Data
<p>Experimental and simulation data from paper "Determining the absolute temporal field of ultra-broadband terahertz-infrared pulses with field-induced second-harmonic spectrograms".</p> <p>See Summary.pdf for description of contents.</p>
Data used in the paper titled 'Reconstructing and Nowcasting the Rainfall Field by a CML Network'
<p>The dataset contains the CML, OTT disdrometer, rain gauge and radar data as well as some of the scripts used in the paper titled 'Reconstructing and Nowcasting the Rainfall Field by a CML Network'</p>
Supporting Data for: "Additivity of atomic strain fields as a tool to strain-engineering phase-stabilized CsPbI$_3$ perovskites"
<p>This dataset contains every training and validation datasets ase well as config YAML files that were used to train the NequIP MLPs in the paper titles as "Additivity of atomic strain fields as a tool to strain-engineering phase-stabilized CsPbI$_3$ perovskites".</p> <p>Also python scripts for MLP-MD and strain field analysis are supplied.</p>
Supplementary Data to "Simulation of dendritic-eutectic growth with the phase-field method" by Seiz et al. pt. 2
<p>Data from some additional simulations conducted during the review of the paper. The goal was to test whether the theory delineating the dendritic-eutectic regime from the eutectic regime would also be applicable at lower solidification speeds. I chose the gradient G = 99 K/mm for quicker convergence and a target crossover concentration of c_0 = 0.11 to roughly get a factor of 10 slower crossover velocity compared to the previous simulations. The crossover velocity, following the theory, ended up being V= 8.347 um/s. The grid spacing was increased by a factor of 3 motivated by the classical scaling laws VR^2 = const. (R= dendrite tip radius or lamellar spacing) and approximating sqrt(10) as 3. At first, three test concentrations (c_0 = 0.1, 0.11, 0.12) are considered. If the theory is right, only c_0 = 0.1 should yield dendritic-eutectic growth.</p> <p> </p> <p>Even after an increase of grid spacing, having more than 5 diffusion lengths between the solidification front and the boundary would have required in excess of 15k cells in the growth direction. Thus I opted to work with a smaller domain for which I later needed to account. I employed a domain of 1200 um (4k cells) in the growth direction, with the moving cutoff at 600 um, and a width of 270 um. This makes for about 2.5 diffusion lengths (l_d = 239.6 um) between the front and the boundary. This did influence the results, as the simulation with c_0 = 0.11 showed dendritic-eutectic growth. Fitting an exponential ansatz for the concentration c(x) = c_inf + dc exp(-x/l_d) (x starting from the dendrite tip) showed that the apparent far-field concentration c_inf=0.108243 was actually within the dendritic-eutectic regime.</p> <p>In order to approximate a simulation for which c_inf = 0.11, the ansatz was employed to solve for c(x_b = 600um) using the actual diffusion length for l_d and observed tip concentration to determine dc. This led to a boundary value of c(x_b) = 0.115, for which another simulation was run. This simulation did show eutectic growth dominating, though the apparent far-field concentration (c_inf = 0.112216) at simulation end did not match the target concentration, likely due to being not converged yet. However, this point does lie within the eutectic regime as predicted by the theory and thus the theory also works at lower velocities once the problem of finite domain sizes is accounted for.</p> <p> </p> <p>Videos showing the evolution of the four simulations with different boundary concentration are attached, though with somewhat variable time between frames. The videos show a 660 x 270 um view of the simulation, slightly beyond the moving window cutoff.</p> <p>Attached as well is the updated microstructure map (with the new simulations plotted over their apparent far-field concentration) and a plot of the height difference between the maximal observed position of the alpha and theta phase. The latter serves as an easy way to differentiate dominant eutectic from dominant dendritic-eutectic growth, as this difference goes to zero for dominant eutectic growth, but some significant non-zero value for dendritic-eutectic growth.</p>
'Danum Revised' seedling data for twenty-seven 4 m2 field plots, measured in 2020
<p>Datafile accompanying the publication <strong>Biodiversity consequences of long-term active forest restoration in selectively-logged tropical rainforests. </strong>(https://doi.org/10.1016/j.foreco.2023.121414)</p><p>This datafile entails the raw seedlings data which were used to calculate tree diversity and forest structure parameters presented in the above-named publication and in the following repository: https://doi.org/10.5281/zenodo.8041128</p><p>Use of these data require citation of this dataset and the associated publication (Keller <i>et al. submitted)</i>. We also require that you inform us of the use of the data would also appreciate the opportunity to be involved in work making use of this data. The required citations are follows:</p><p>Marfil, Tobias, Keller, Nadine, Bin Abd Karim, Bin Jelling, Steven, Zenden, & Philipson, Christopher D. (2023). 'Danum Revised' seedling data for twenty-seven 4 m2 field plots, measured in 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8063292</p><p>Keller, Nadine, Pascal A Niklaus, Jaboury Ghazoul, Tobias Marfil, Elia Godoong, and Christopher D Philipson. 2023. "Biodiversity Consequences of Long-Term Active Forest Restoration in Selectively-Logged Tropical Rainforests." Forest Ecology and Management 549: 4. https://doi.org/10.1016/j.foreco.2023.121414.</p><p> </p>
Fiber Orientation Estimation from X-ray Dark Field Images of Fiber Reinforced Polymers using Constrained Spherical Deconvolution: Data
<p>The data was simulated in GATEv8.0. The macro's and other files for the simulation can be found in the folders: Sim_50_40, Sim80_60 and Sim90_70. Here, the different files to perform the simulation are given, as well as the output data, found in the folders Flats and Projs (flatfields and projections) in the form of a csv-file. The csv-file contains 5000 rows (one for each image), and each row contains a flattened 450x450 image.</p> <p>The files for visualization of the fiber directions are given in the folder MRtrix. This folder contains the reconstructed scatter magnitudes and their respective directions in a mat-file. On this set of directions the constrained spherical deconvolution is applied using the sf_dirs.mif, sf_mask.mif, sf_response.mif and data.mif files. This returns the orientation density function in each voxel as output (odf_csd_14.mif). An alternative approach is performing a Funk-Radon transform on the coefficients of the scatter function (data_coeffs_10.mif) to obtain odf_frt_10.mif.</p> <p>Using a peak finding algorithm the fiber orientations are extracted from these odf-files and written to peaks_x.mif files, with or without a threshold (10% of largest amplitude).</p>
Data from field campaign project TACTIC EO-Africa
<p>Field ground data from the EO-Africa project Tactic (2023) and the previous field campaigns of 2016 and 2017. Leaf area index measurements with licor2200, spectral information measurements with ASD LabSpec spectrometer. Protocols of measurement. GPS points. Vegetation characteristics.</p>
A sea state dependent gas transfer velocity for CO$_2$ unifying theory, model and field data
<p>Dataset for "A sea state dependent gas transfer velocity for CO2 unifying theory, model and field data"</p> <p>WaveWatch III simulated significant wave height (Hs, unit:m), volume of entrained air ('wva', unit m/s), 10-meter wind vector ( 'uwnd','vwnd', unit, m/s) for 9 datasets from 11 cruises.</p> <p>The information of dataset is shown in name of each file.</p>
Data and code for: Order-of-Magnitude SNR Improvement for High-Field EPR Spectrometers via 3D-Printed Quasioptical Sample Holders
<p>*.py and data files for publication titled "Order-of-Magnitude SNR Improvement for High-Field EPR Spectrometers via 3D-Printed Quasioptical Sample Holders"</p>
Data for: Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images
<p>Replication data for: Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images</p> <p> </p> <p> </p>
Electric-field-induced anion-π catalysis on carbon nanotubes in electrochemical microfluidic devices: Original Data
<p>Original data underlying the publication entitled "Electric-field-induced anion-π catalysis on carbon nanotubes in electrochemical microfluidic devices"</p> <p>1 Synthesis: synthetic procedures (notebook pages) and data (NMR, IR, MS) of compounds <strong>6</strong>–<strong>8</strong>, <strong>15</strong>, <strong>17</strong>, <strong>19</strong>, <strong>21</strong>–<strong>26</strong></p> <p>2 Catalysis in suspension: procedure (notebook pages) and HPLC chromatograms (for compounds <strong>6</strong> and <strong>8</strong>) or NMR spectra (for compound<strong> 9</strong>)</p> <p>3 Catalysis using electromicrofluidics: procedure (notebook pages) and HPLC chromatograms</p>
Data underlying: High-Field Optical Cesium Magnetometer for Magnetic Resonance Imaging
<p>This is the data used in the work "High-Field Optical Cesium Magnetometer for Magnetic Resonance Imaging" by Hans Stærkind, Kasper Jensen, Vincent O. Boer, Esben Thade Petersen and Eugene S. Polzik.</p> <p>Scripts for calculations done in the article are also included.</p>
Data for: Decomposability of leaf and wood litter are not correlated across species: Effects of litter traits on decomposition in field and laboratory conditions
<ol> <li>Changes in tree species composition have important effects on the overall rate of litter decomposition at a community level because litter decomposability varies among species and between leaf and wood litter. To understand how changes in tree species composition affect litter dynamics and carbon sequestration at the ecosystem level, it is important to clarify interspecific variations in leaf and wood litter decomposability and the traits driving the variation.</li> <li>Using field data, field experiments, and laboratory experiments, we explored rates of leaf and wood litter decomposition and their relationships to traits of ten deciduous hardwood species in a temperate forest in Japan. Rates of leaf and wood litter decomposition at the community level were also estimated by considering species-specific litter inputs and decomposition rates.</li> <li>Rates of leaf and wood litter decomposition were not correlated under either field or controlled laboratory conditions. This is probably because the traits that affect decomposition rate differ between leaf and wood litter. Interspecific variation in litter decomposability of leaves and wood was generally consistent between field conditions and laboratory experiments using a single fungus, suggesting that the decomposing fungi set the species-specific decomposition rates. Moreover, the leaf and wood traits that affected decomposition by their specific fungi were different. The aboveground input of wood litter was less than half that of leaf litter, but its half-life was >3 times longer, suggesting that wood and leaves make similar contributions to litter accumulation.</li> <li>Focusing on either leaf or wood litter alone may produce misleading estimates of how species composition changes affect litter dynamics at the community level. Our results provide insight into predicting the response of carbon dynamics to future climate change.</li> </ol>
Data-based modeling of the magnetosheath magnetic field
<p>The zip-archive 2023JA031665.zip contains two data files used in the generation and validation of the magnetosheath magnetic field model, a corresponding format description file, and a file with a fortran subroutine that can be used to reconstruct the magnetosheath magnetic field, as presented in the JGRA article 2023JA031665 by N. A. Tsyganenko, V. S. Semenov, and N. V. Erkaev "<strong><em>Data-based modeling of the magnetosheath magnetic field </em></strong>".</p> <p>Below is a list of files with a brief explanation of their content and purpose.</p> <p>1. The ascii files <strong>Grand_training_set.dat</strong> and <strong>Grand_validation_set.dat</strong> contain data used in the generation of the magnetosheath magnetic field model and its validation, respectively. Data formats are provided in a separate text file <strong>Data_format.txt</strong>.</p> <p>2. The file <strong>MS_field_model.for</strong> contains a fortran subroutine for calculating the model magnetosheath magnetic field components.</p>
Intrinsic traits, social context, local environment, and home range size and fidelity data from a field study of sleepy lizards, 2009 - 2017
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Data from: Seedling recruitment in subalpine grassland forbs: predicting field regeneration behaviour from lab germination responses
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Data from: When field experiments yield unexpected results: lessons learned from measuring selection in White Sands lizards
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Data from: Variation in home-field advantage and ability in leaf litter decomposition across successional gradients
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Data from: Rapid change in host specificity in a field population of the biological control organism Pasteuria penetrans
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Data from: Field swimming behavior in largemouth bass deviates from predictions based on economy and propulsive efficiency
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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.