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Dataset results
30 results for “formation energy”
A closer look at high-energy X-ray-induced bubble formation during soft tissue imaging
<p>Improving the scalability of tissue imaging throughput with bright, coherent X-rays requires identifying and mitigating artifacts resulting from the interactions between X-rays and matter. At synchrotron sources, long-term imaging of soft tissues in solution can result in gas bubble formation or cavitation, which dramatically compromises image quality and integrity of the samples. By combining in-line phase-contrast cineradiography with <em>operando</em> gas chromatography, we were able to track the onset and evolution of high-energy X-ray-induced gas bubbles in ethanol-embedded soft tissue samples for tens of minutes (2 to 3 times the typical scan times). We demonstrate quantitatively that vacuum degassing of the sample during preparation can significantly delay bubble formation, offering up to a twofold improvement in dose tolerance, depending on the tissue type. However, once nucleated, bubble growth is faster in degassed than undegassed samples, indicating their distinct metastable states at bubble onset. Gas chromatography analysis shows increased solvent vaporization concurrent with bubble formation, yet the quantities of dissolved gases remain unchanged. Coupling features extracted from the radiographs with computational analysis of bubble characteristics, we uncover dose-controlled kinetics and nucleation site-specific growth. These hallmark signatures provide quantitative constraints on the driving mechanisms of bubble formation and growth. Overall, the observations highlight bubble formation as a critical, yet often overlooked hurdle in upscaling X-ray imaging for biological tissues and soft materials and we offer an empirical foundation for their understanding and imaging protocol optimization. More importantly, our approaches establish a top-down scheme to decipher the complex, multiscale radiation-matter interactions in these applications.</p>
Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Kortrijk Kennedy Park, Belgium
<p>Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Kortrijk Kenny Park (50° 48' 2"N 3°16'13" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).</p>
Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Sint-Katelijne-Waver, Belgium
<p>Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Sint-Katelijne-Waver (51°3'25"N 4°11'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).</p>
FOXQ1 Regulates Mitochondrial Cristae Formation and Energy Metabolism in Mouse Brain Endothelial Cells [RNA-seq]
GEO Series GSE271827. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Antwerp Berchem, Belgium
<p>Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).</p>
SmFe12, SmFe11Co, Smfe11CoB, Smfe11CoN structures OFM representation, magnetization and formation energy
<p>The dataset consists of SmFe12, SmFe11Co, Smfe11CoB, and Smfe11CoN structures with Orbital Field matrix representation, formation energy, and magnetization calculated using Vienna Ab initio Simulation Package. All structures were generated using the Machine learning-aided Genetic algorithm method.</p>
Trajectory files for "Where does the energy go during the interstellar NH3 formation on water ice? A computational study"
<p>CP2K trajectory files for the N+H, NH + H and NH2 + H reactions on the amorphous water ice surface</p>
FOXQ1 Regulates Mitochondrial Cristae Formation and Energy Metabolism in Mouse Brain Endothelial Cells [CUT&TAG]
GEO Series GSE271829. Mus musculus. 5 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Voyager 1 Low-Energy Charged Particle (LECP) Background-Corrected Electron Differential Fluxes, Daily Data in CDF Format
This data set contains data from the LECP instrument on the Voyager 1 spacecraft. Each record in a file contains 1-day (24-hour) scan-averaged fluxes and flux uncertainties of electrons in two contiguous energy channels that cover the energy range 26-70 keV. The period 2002/001 through 2012/240 includes electrons measured upstream of the termination shock and in the heliosheath up though ~2 days after the heliopause crossing. The Voyager 1 LECP instrument steps through eight, 45 deg full-angle sectors, spending 192 sec in each sector, yielding a full scan through 360 deg every 25.6 min. The LECP scan plane is nearly parallel to RT-plane of the heliospheric RTN coordinate system. The electron data are averaged over the seven active sectors S1-S7; S8 is behind the sun-shield and not included in the average.-- Electron channels designated EB01 and EB02-- Data have been corrected to remove background due to penetrating cosmic ray ions-- Electron fluxes and uncertainties (one st. dev.) in units: (cm^2 s sr MeV)^-1-- Data are 5-point running averages of daily values-- Values -9.900e+01 used for missing or nonphysical data-- Negative year indicates filled data for the associated doy
Voyager 2 Low-Energy Charged Particle (LECP) Background-Corrected Electron Differential Fluxes, Daily Data in CDF Format
This data set contains data from the LECP instrument on the Voyager 2 spacecraft. Each record in a file contains 1-day (24-hour) scan-averaged fluxes and flux uncertainties of electrons in two contiguous energy channels that cover the energy range 22-61 keV. The period 2006/001 through 2018/304 includes electrons measured upstream of the termination shock and in the heliosheath up to heliopause crossing. The voyager 2 LECP instrument steps through eight, 45 deg full-angle sectors, spending 192 sec in each sector, yielding a full scan through 360 deg every 25.6 min. The LECP scan plane is nearly parallel to RT-plane of the heliospheric RTN coordinate system. The electron data are averaged over the seven active sectors S1-S7; S8 is behind the sun-shield and not included in the average.-- Electron channels designated EB01 and EB02-- Data have been corrected to remove background due to penetrating cosmic ray ions-- Electron fluxes and uncertainties (one st. dev.) in units: (cm^2 s sr MeV)^-1-- Data are 5-point running averages of daily values-- Values -9.900e+01 used for missing or nonphysical data-- Negative year indicates filled data for the associated doy
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.