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ShareScore release 0.9.0
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4 results for “High-redshift galaxies”
The [CII] 158 μm line emission in high-redshift galaxies: Data Set
<p>This data set contains all data tables associated to the publication: "The [CII] 158 μm line emission in high-redshift galaxies"; A&A Lagache, Cousin, Chatzikos 2018. Please cite it if you use those data.</p>
CO excitation, molecular gas density and interstellar radiation field in local and high-redshift galaxies
<p>This dataset includes the SED fitting figures and full sample table produced in the study of Liu et al. (2020, ApJ). Two example figures are shown in the Figure 1 of the paper. And selected columns of the full sample table is shown in the Table 1 of the paper. </p> <p> </p>
HIGH-REDSHIFT NARROW LINE SEYFERT 1 GALAXIES: A CANDIDATE SAMPLE
<p>The study of Narrow line Seyfert 1 galaxies (NLS1s) is now mostly limited to low redshift (z < 0.8). This is because their definition requires the presence of the Hβ emission line, which is red-shifted out of the spectral coverage of major ground-based spectroscopic surveys at z > 0.8. We studied the correlation between the properties of Hβ and Mg II lines of a large sample of SDSS DR14 quasars to find high-z NLS1 candidates. Based on the strong correlation of FWHM(MgII)=(0.880±0.005)×FWHM(Hβ)+(0.438±0.018), we present a sample of high-z NLS1 candidates having FWHM of Mg II < 2000 km s−1. The high-z sample contains 2684 NLS1s with redshift z = 0.8 − 2.5 with a median logarithmic bolometric luminosity of 46.16 ± 0.42 erg s−1, logarithmic black hole mass of 8.01 ± 0.35M⊙, and logarithmic Eddington ratio of 0.02 ± 0.27. The fraction of radio-detected high-z NLS1s is similar to that of the low-z NLS1s and SDSS DR14 quasars at a similar redshift range and their radio luminosity is found to be strongly correlated with their black hole mass.</p> <p>This page contains the catalog of high-z NLS1 candidates. </p>
Temperature of the neutral CGM around high-redshift galaxies
<p>Gas in galaxy halos is the result of an interplay between the AGN/stellar outflows and the inflows from intergalactic medium. Observational constraints on the CGM properties provide a clue for the cosmological simulations and shed a light on the feedback mechanisms, which are responsible for the baryonic cycle and determine the CGM energy distribution. Due to the complex nature of CGM, understanding of the feedback processes requires a comprehensive study of the halo gas in hot ionized as well as warm and cold neutral phases. Unfortunately, in contrast with a cold and ionized gas, estimation of the temperature of warm phase is a difficult task. This can be overcome using the analysis of the absorption lines imprinted onto quasar spectra (Noterdaeme et al. 2021). We present such measurements of the warm CGM temperature, based on a sample of Damped Lyman-alpha systems in high-resolution high-redshift (z~2) VLT/UVES spectra. We show that warm neutral circum-galactic gas demonstrates a huge variety of estimated temperatures, which in some cases exceed the canonical Galactic value of ~10 000 K generally assumed in thermal balance models.</p> <p>Noterdaeme et al., A&A 651, A78 (2021)</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.