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1,351 results for “Intermediates”
IRNSS/NavIC L5 and S-band raw intermediate frequency signal
<p>This dataset is used for development of NavIC software receiver.</p> <p>Sampling Frequency: 4 MHz</p> <p>Intermediate Frequency: 0 MHz</p> <p>Data type: INT16</p> <p>Data format: IQ</p> <p>Carrier frequency: L5 1176.45 MHz; S 2492.028 MHz</p> <p> </p>
Literature Overview Blockchain Intermediation Concepts
<p>The dataset was created in a structured literature review (Webster and Watson, 2002). It provides a complete overview of the 90 identified articles.</p>
Dataset for XBeach model calibration and simulation of sample storms in an intermediate-to-dissipative, microtidal coast (Sabaudia, Italy)
<p>The archive contains XBeach input data and datasets used for the calibration of the hydrodynamic model XBeach and subsequent simulation of six sample storms at different tidal levels at the intermediate-to-dissipative, microtidal coast of Sabaudia (Tyrrhenian Sea, Italy).</p> <p>VERSION v2 (January 24, 2022): uploaded a new version of the dataset to support the revised version of the manuscript.</p>
Peroxy intermediate drives carbon bond activation in the dioxygenase AsqJ
<p>QM/MM structures and trajectories for <br> Dirk Auman, Felix Ecker, Sophie L. Mader, Kevin M. Dorst, Alois Bräuer, Göran Widmalm, Michael Groll, & Ville R. I. Kaila<br> Peroxy intermediate drives carbon bond activation in the dioxygenase AsqJ (2022)</p>
Mapping of samples – Fuels from Reliable Bio-based Refinery Intermediates: BioMates, Schulzke et al., 2020, DOI:10.1007/s12649-019-00625-w
<table> <tbody> <tr> <td>In the H2020-project BioMates (www.biomates.eu, Grant Agreement No. 727463), Fraunhofer UMSICHT produced samples from ablative fast pyrolysis (AFP) of herbaceous biomass in a TRL 4-plant. A dedicated document provides identifiers for relevant liquid samples and their blends (DOI: 10.24406/fordatis/156). The document at hand maps it to the AFP-derived substances reported to be used in the article "T. Schulzke, S. Conrad, B. Shumeiko, M. Auersvald, D. Kubička, L. F. J. M. Raymakers; Fuels from Reliable Bio-based Refinery Intermediates: BioMates; Waste and Biomass Valorization (2020) 11:579–598; DOI:10.1007/s12649-019-00625-w", and provides further identifiers for samples not indexed earlier.</td> </tr> </tbody> </table>
Influence of pollen dispersal and mating pattern in domestication of intermediate Wheatgrass, a novel perennial food crop
<p>Intermediate wheatgrass (IWG) is a perennial forage grass that is currently being domesticated as a grain crop. It is a primarily wind-pollinated outcrossing species and expresses severe inbreeding depression when self-pollinated. Characterization of pollen dispersal, mating parameters, and change in genetic diversity due to pollen movement is currently lacking in IWG. In this study, we examined pollen dispersal in an IWG selection nursery by evaluating 846 progeny from 15 mother plants and traced their parentage to 374 fathers. A set of 2500 genomic loci was used to characterize the population. We assigned paternity to 769 (91%) progeny and the average number of fathers per mother plant was 37, from an average of 56 progeny examined per mother. An extensive number (80%) of pollination events occurred within 10 m of the mother plants. Pollination success was not correlated with trait attributes of the paternal genotypes. Mating system analysis confirmed that IWG is highly out-crossing and inbreeding was virtually absent. Neither genetic diversity nor the genome-estimated trait values of progeny were significantly affected by pollinator distance. The distance of pollinator in an IWG breeding nursery therefore was not found to be a major contributor in maintaining genetic diversity. These findings reveal the pollen dispersal model in IWG for the first time and its effect on genetic diversity, which will be valuable in designing future IWG breeding populations. Information generated and discussed in this study could be applied in understanding gene flow and genetic diversity of other open-pollinated species.</p>
Resting metabolic rate of Sceloporus grammicus at intermediate and native elevations
<p><span>Body maintenance energy requirements are measured as minimal metabolic rate (RMR) of inactive, postabsorptive individuals in the laboratory. For mountain-dwelling species, translocation to the laboratory can mean a change in elevation and thus oxygen pressure, which may affect metabolic rates. Here we present resting metabolic rate (RMR) of three populations of the Mesquite lizard (Sceloporus grammicus) at their native elevations (i.e., 2600, 3200 and 4100 m) and at an intermediate elevation (3100 m). Each lizard was tested at 15, 25, 30 and 35ºC. For each test RMR is given in VCO2 ml/min. Data also includes sex, snout vent length (SVL), body mass, and throat color morph.</span></p>
Some original, intermediate, and result data in the papar entited "Highway marking extraction and degradation analysis by using MLS point clouds"
<p>Some original, intermediate, and result data in the papar entited "Highway marking extraction and degradation analysis by using MLS point clouds"</p>
Data for "Mineral soils are an important intermediate storage pool of black carbon in boreal forests"
<p>This data is used in the publication "Mineral soils are an important intermediate storage pool of black carbon in boreal forests".</p> <p>The column plot_id uniquely represents each sample plot in the study and matches the columns of the same name in the complementary dataset "<a href="https://doi.org/10.5281/zenodo.5078669">Dataset for 'Climatic Variation Drives Loss and Restructuring of Carbon and Nitrogen in Boreal Forest Wildfire'</a>". Odd numbers are burnt plots, while the burnt plot_id plus 1 is its paired control.</p> <p>Columns are labeled with the name of sampled soil layer and entries are their associated BC:W values. BC:W is unitless (formed by dividing grams black carbon by grams sample weight). Empty spots mean there was no material at the plot to collect.</p>
Datasets for "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".
<p>This repository contains the 7-year averaged files from runs TATL10 and TATL3 used in the manuscript "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".</p> <p>Additional files include the CARS oxygen climatology and the CMEMS model output used in the study.</p> <p> </p>
Dataset 2 for the reproduction of figures used in "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones""
<p>This is the second dataset with data necessary for the reproduction of the figures used in the manuscript.</p> <p> </p>
BacSC - intermediate data
<p>Intermediate scRNA-seq data for reproduction of "<span>BacSC: A general workflow for bacterial single-cell </span><span>RNA sequencing data analysis" (Ostner et al., 2024)</span></p>
Intermediate field-induced phase of the honeycomb magnet BaCo2(AsO4)2
Open the record for dataset details and reuse information.
Fig. 1 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 1. Collecting localities of alligators in Georgia and Florida.
Fig. 4 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 4. Prey stomach contents categorized to taxonomic class levels.
Pipelines and intermediate files used for testing DRETools
<p>Pipelines and intermediate files used for testing DRETools</p>
Heterobiaryl synthesis by contractive C–C coupling via P(V) intermediates
<p>This data-set includes the output files of DFT (wB97XD) optimizations and DLPNO-CCSD(T) single-point energy calculations performed as part of the above paper.</p>
Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini ≤ 10-4 in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.466.1709T">Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini ≤ 10-4 in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind</a></p>
Dataset - Assessing the Added Value of the Intermediate Complexity Atmospheric Research Model (ICAR) for Precipitation in Complex Topography
<p>Abstract. The coarse grid spacing of global circulation models necessitates the application of downscaling techniques to investigate the local impact of a changing global climate. Difficulties arise for data sparse regions in complex topography which are computationally demanding for dynamic downscaling and often not suitable for statistical downscaling due to the lack of high quality observational data. The Intermediate Complexity Atmospheric Research Model (ICAR) is a physics-based model that can be applied without relying on measurements for training and is computationally more efficient than dynamic downscaling models. This study presents the first in-depth evaluation of multi-year precipitation time series generated with ICAR on a 4 × 4 km<sup>2</sup> grid for the South Island of New Zealand for an eleven-year period, ranging from 2007 until 2017. It focuses on complex topography and evaluates ICAR at 16 weather stations, eleven of which are situated in the Southern Alps between 700 m MSL and 2150 m MSL. ICAR is assessed with standard skill scores and the effect of model top elevation, topography, season, atmospheric background state and synoptic weather patterns on these scores are investigated. The results show a strong dependence of ICAR skill on the choice of the model top elevation, with the highest scores obtained for 4 km above topography. Furthermore, ICAR is found to provide added value over its ERA-Interim reanalysis forcing data set for alpine weather stations, improving mean squared errors (MSE) by up to 53 % and 30 % on median. It performs similarly during all seasons with an MSE minimum during winter, while flow linearity and atmospheric stability were found to increase skill scores. ICAR scores are highest during weather patterns associated with flow perpendicular to the Southern Alps and lowest for flow parallel to the alpine range. While measured precipitation is underestimated by ICAR, these results show the skill of ICAR in a real-world application, and may be improved upon by further observational calibration or bias correction techniques.<br> Based on these findings ICAR shows the potential to generate downscaled fields for long term impact studies in data sparse regions with complex topography.</p>
A set of synthetic spectral energy distributions for "diskless", intermediate-mass young stars
<p>These models were published in conjunction with <em>The Duration of Star Formation in Galactic Giant Molecular Clouds. I. The Great Nebula in Carina, </em>by <a href="https://arxiv.org/abs/1906.01730">Povich et al. (2019)</a>. They will also be used in subsequent papers in that series.</p> <p>The format of these models conforms with the standards of <a href="https://doi.org/10.1051/0004-6361/201425486">Robitaille (2017)</a>, so they are compatible with the <a href="http://sedfitter.readthedocs.io/en/stable/installation.html">python implementation</a> of the <a href="https://doi.org/10.1086/512039">Robitaille et al. (2007)</a> SED fitting tool. We have pre-convolved these models with a number of useful filters, including Johnson/Bessel <em>UB</em><em>VRI, </em>UKIRT <em>ZYJHK, </em>VISTA <em>ZYJHK<sub>S</sub></em>, 2MASS <em>JHK<sub>S</sub></em>, <em>Spitzer/</em>IRAC and MIPS. </p> <p>A software pipeline implementing these models to constrain the age and mass distributions of young stellar populations is also <a href="https://doi.org/10.5281/zenodo.3234101">publicly available</a>.</p> <p><strong>Limitations of these models</strong></p> <p><em>These models produce the best results for stars more massive than the Sun and older than about 0.5 Myr. </em>They employ the pre-main-sequence evolutionary tracks of <a href="https://arxiv.org/abs/astro-ph/0003477">Siess et al. (2000)</a> and <a href="https://ui.adsabs.harvard.edu/abs/1996A&A...307..829B/abstract">Bernasconi & Maeder (1996)</a>. Numerous modern tracks offer significant improvement in the treatment of subsolar-mass stars. In addition, the Kurucz stellar atmospheres used in these synthetic SEDs work best for T<sub>eff </sub>> 4,000 K; for cooler temperatures other models, for example the PHOENIX photospheres, may be more appropriate.</p> <p>Newer evolutionary tracks covering the intermediate-mass range are now available, for example the Geneva pre-MS tracks of <a href="https://doi.org/10.1051/0004-6361/201935051">Haemmerlé et al. (2019)</a>. The principal innovation of these modern models is the treatment of accretion and location of the intermediate-mass stellar birthline. The coolest, most luminous models in this set are likely <em>unphysical</em>, representing fully-convective stars of >2 solar masses and <0.5 Myr isochronal age.</p>
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.