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Dataset results
501 results for “Charging”
Engineering an in vivo charging station for CAR-redirected invariant natural killer T cells to enhance cancer therapy
GEO Series GSE291443. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
Translation in amino acid-poor environments is limited by tRNAGln charging
GEO Series GSE157276. Mus musculus. 16 samples. Type: Other.
Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level I
GEO Series GSE188855. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Chromatin Remodeler CHD7 mutated in CHARGE Syndrome Interacts with Sox10 to Regulate Timing of CNS Myelination and Remyelination [RNA-seq]
GEO Series GSE72726. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Tarsl2 is evolved not for tRNA charging in vivo
GEO Series GSE218318. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level V
GEO Series GSE188860. Homo sapiens. 10 samples. Type: Other.
Transcriptome analysis of CHARGE patients iPSC-derived neural stem/progenitor cells
GEO Series GSE108170. Homo sapiens. 12 samples. Type: Expression profiling by array.
Single-cell RNA sequencing data of primary and super-charged NK cells
GEO Series GSE226160. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Chromatin Remodeler CHD7 mutated in CHARGE Syndrome Interacts with Sox10 to Regulate Timing of CNS Myelination and Remyelination.
GEO Series GSE72727. Rattus norvegicus; Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level II
GEO Series GSE188857. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level
GEO Series GSE188862. Homo sapiens. 66 samples. Type: Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing.
Flow upregulates glycocalyx-related genes and makes surface charge more negative of a human blood-brain barrier co-culture model in an organ-on-a-chip device
GEO Series GSE155671. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
GCN2 enhances the growth and progression of prostate cancer by maintaining amino acid homeostasis [CHARGE-seq]
GEO Series GSE196251. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Uncharged tRNAGln as an indicator of intracellular amino acid level upregulates UBC expression to maintain its charging level IV
GEO Series GSE188859. Homo sapiens. 8 samples. Type: Other.
The CHARGE syndrome ortholog CHD-7 regulates TGF-b pathways in C. elegans
GEO Series GSE199192. Caenorhabditis elegans. 10 samples. Type: Expression profiling by high throughput sequencing.
Phosphorylation-dependent Charge Blocks Regulate the Coarsening of Nuclear Speckle Networks
GEO Series GSE286350. Homo sapiens. 9 samples. Type: Other.
Data for "A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes"
<p>In a manuscript entitled “A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes”, lightning locations and electric field can be obtained through the following attachment. These files can be opened by MATLAB 2016 (or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.</p> <p> </p> <p>Data named as “Example_IC_Flash” consists of locations and an E-change waveform. Each location data has four columns, representing x (km), y (km), z (km), and time (ms). The E-change data has two columns, namely to time (ms) and E-change amplitude (DU).</p> <p> </p> <p>The other Data are stored using the form of ‘.fig’. Researchers can open these figures directly by using MATLAB.</p>
Dataset of the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO2'
<p>Data published in the article 'Charge accumulation kinetics in multi-redox molecular catalysts immobilised on TiO<sub>2</sub>', available at <a href="https://doi.org/10.1039/D0SC04344C">https://doi.org/10.1039/D0SC04344C</a>.</p> <p>Abstract: Multi-redox catalysis requires the accumulation of more than one charge carrier and is crucial for solar energy conversion into fuels and valuable chemicals. In photo(electro)chemical systems, however, the necessary accumulation of multiple, long-lived charges is challenged by recombination with their counterparts. Herein, we investigate charge accumulation in two model multi-redox molecular catalysts for proton and CO<sub>2</sub> reduction attached onto mesoporous TiO<sub>2</sub> electrodes. Transient absorption spectroscopy and spectroelectrochemical techniques have been employed to study the kinetics of photoinduced electron transfer from the TiO<sub>2</sub> to the molecular catalysts in acetonitrile, with triethanolamine as the hole scavenger. At high light intensities, we detect charge accumulation in the millisecond timescale in the form of multi-reduced species. The redox potentials of the catalysts and the capacity of TiO<sub>2</sub> to accumulate electrons play an essential role in the charge accumulation process at the molecular catalyst. Recombination of reduced species with valence band holes in TiO<sub>2</sub> is observed to be faster than microseconds, while electron transfer from multi-reduced species to the conduction band or the electrolyte occurs in the millisecond timescale. Finally, under light irradiation, we show how charge accumulation on the catalyst is regulated as a function of the applied bias and the excitation light intensity.</p>
Data for "Phonon thermal Hall effect in charge-compensated topological insulators" published in PRB 109, 104304 (2024), Editors' Suggestion
<p>The manuscript of this <a href="https://doi.org/10.1103/PhysRevB.109.104304">Phys. Rev. B paper</a> is also available on arxiv <a href="https://arxiv.org/abs/2401.03064">2401.03064</a>. Note, however that the order of the Figures 6-9 in the Appendix differs between the PRB version and the arxiv version. The naming of the data sets stored here on Zenodo refer to the Figure numbering of the arxiv version.</p>
Lower ionospheric electron densities based on a simple ionospheric model that uses MSP as charge carrier
<p>This data is related to the following papers:</p> <p>Meteor smoke influences on the D-region charge balance – review of recent in situ measurements and one-dimensional model results</p> <p>C. Baumann et al. 2013</p> <p>and</p> <p>Modelling of the influence of meteoric smoke particles on artificial heating in the D-region</p> <p>M. Myrvang, C. Baumann and I. Mann, 2021</p> <p> </p> <p> </p> <p>This data set contains electron density altitude profiles from a simple ionospheric model described in C. Baumann et al 2013 using meteoric smoke particles (MSP) as active charge carrier and a comparative modelrun without MSP.</p> <p> </p> <p>Myrvang et al. uses this data for their modelling of the electron heating in the lower ionosphere.</p> <p> </p> <p>day_data_autumn.txt and night_data_autumn.txt </p> <p>contain the electron density data as in C. Baumann et al. 2013 and also used in Myrvang et al. 2021</p> <p> </p> <p>MSP_summer.txt</p> <p>contains the electron density for a summer MSP size distribution as in Myrvang et al. 2021</p> <p>MSP_winter</p> <p>contains the electron density for a winter MSP size distribution as in Myrvang et al. 2021</p> <p> Ne_charging_prob_1</p> <p>contains the electron density for a charging efficiency of one for all MSP sizes (Myrvang et al. 2021)</p> <p> </p> <p>Ne_charging_prob_1_5 </p> <p>contains the electron density for a charging efficiency of one for MSP sizes greater as 1.5nm (Myrvang et al. 2021)</p> <p> </p>
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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.