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6 results for “luminosity functions”

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zenodo44/100

The data for "Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant"

<p>Data used for "Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant" by Siyang Li, Adam G. Riess, Stefano Casertano, Gagandeep S. Anand, Daniel M. Scolnic, Wenlong Yuan, Louise Breuval, and Caroline D. Huang. Magnitudes provided are after correcting for foreground extinction and crowding bias.</p>

opencc-by-4.0Feb 2024View details →
zenodo32/100

Measurement of the B-band Galaxy Luminosity Function with Approximate Bayesian Computation

<p>In our recent paper Tortorelli et al. 2020 (arXiv: 2001.07727), we presented the first measurement in literature of galaxy population properties using the Approximate Bayesian Computation (ABC), specifically the B-band Galaxy Luminosity function. The novel methodology we developed that combines forward-modeling and ABC offers excellent prospects to robustly measure galaxy population properties as a function of redshift in large wide-field galaxy surveys, such as LSST and NGRST. The methodology has the advantage of overcoming part of the limitations that arise in wide-field galaxy studies, such as incorrect redshift estimation or separation of galaxies into red and blue. We forward model wide-field broad-band galaxy surveys using the fast image simulator UFig.&nbsp; We use ABC to constrain the galaxy population model parameters of the simulations and match data from the CFHTLS. We define a number of distance metrics between the simulated and the survey data. By exploring the parameter space of the galaxy population model through ABC to find the set of parameters that minimize these distance metrics, we obtain constraints on the LFs of blue and red galaxies as a function of redshift. We compare our results to other measurements, finding good agreement at all redshifts, for both blue and red galaxies. We also compare the redshift distribution we obtain applying the same cuts as the VIPERS survey on our image simulations, finding good agreement with survey data.</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Measuring the conditional luminosity and stellar mass functions of galaxies by combining the DESI LS DR9, SV3 and Y1 data

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo32/100

The data for Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at z>4: Implications for Faint and Low-mass Populations in JWST

<p>The data for Figure 1 in the AAS article: Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at z&gt;4: Implications for Faint and Low-mass Populations in JWST</p> <p>in each file, the column heads are x: M1450; y_f0: total Phi(Mpc^-3 mag^-1) for f_seed=1.0 y1_f0: unobscured Phi for&nbsp; f_seed=1.0 y_f1: total Phi for f_seed=0.1 y1_f1: unobscured Phi for f_seed=0.1</p>

opencc-zeroMay 2024View details →
zenodo32/100

X-ray Binary Luminosity Function Scaling Relations for Local Galaxies Based on Subgalactic Modeling

<p>Property maps (SFR and M*)&nbsp;and processed Chandra images for the 38 galaxies from Lehmer et al. (2019).</p>

opencc-by-4.0May 2019View details →
zenodo20/100

X-ray Binary Luminosity Function Scaling Relations in Elliptical Galaxies: Evidence for Globular Cluster Seeding of Low-Mass X-ray Binaries in Galactic Fields

<p>Processed Chandra images, Chandra source catalog, and extended Figure 2 for Lehmer et al. (2020)</p>

opencc-by-4.0Apr 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record