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47 results for “CDF”
Empirical CDF for Luria-Delbrück distribution from rSalvador package
<p>Simulation data used for article "The number of neutral mutants in an expanding Luria-Delbrück population is approximately Frechet". Analyze with Julia software code at <a href="https://github.com/evolbio/FrechetLD">https://github.com/evolbio/FrechetLD</a>.</p>
Deep Hyper Suprime-Cam Images and a Forced Photometry Catalog in W-CDF-S
<p>These are the data products associated with the Ni et al. (2018) research note: "Deep Hyper Suprime-Cam Images and a Forced Photometry Catalog in W-CDF-S", Ni Q., Timlin J., Brandt W.N., Yang G., 2018, RNAAS, in press. </p>
High precision measurement of the W-boson mass with the CDF II detector
<p>High precision measurement of the W-boson mass with the CDF II detector</p>
LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) V2.3.2015
The LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite.The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRFC dataset include flash rate climatology data including raw and scaled flash on a 0.5 degree grid in HDF and netCDF-4 format.
Phaeo CDF 2011 - stressor exposed vs control
GEO Series GSE34988. Phaeodactylum tricornutum. 56 samples. Type: Expression profiling by array.
Profiling 20,077 genes in 25 vaccine recipients: U133 Plus 2.0, Custom CDF Version 9
GEO Series GSE13485. Homo sapiens. 87 samples. Type: Expression profiling by array.
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) --Affy CDF
GEO Series GSE65194. Homo sapiens. 178 samples. Type: Expression profiling by array.
Expression profiling of breast cancer samples from Institut Curie (Maire cohort) -- BrainArray CDF
GEO Series GSE65212. Homo sapiens. 178 samples. Type: Expression profiling by array.
Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: Muscle_genome-build-id_ENST_binary]
GEO Series GSE155933. Homo sapiens. 230 samples. Type: Expression profiling by array.
Profiling 11,639 genes in PBMCs from 2 donors: U133 A 2.0 Custom CDF Version 9
GEO Series GSE13484. Homo sapiens. 10 samples. Type: Expression profiling by array.
Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: GC_M_HTA_3utr_Grch38,binary.cdf]
GEO Series GSE155959. Homo sapiens. 230 samples. Type: Expression profiling by array.
Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States [CDF: GC_M_HTA_5utr_Grch38,binary.cdf]
GEO Series GSE155934. Homo sapiens. 230 samples. Type: Expression profiling by array.
ATLargeAreaSurvey(ATLAS)CDF-S&ELAIS-S11.4-GHzDR2ComponentsCatalog
This table derives from the first of two papers describing the second data release (DR2) of the Australia Telescope Large Area Survey (ATLAS) at 1.4 GHz. This survey comprises deep wide-field observations in total intensity, linear polarization, and circular polarization over the Chandra Deep Field-South (CDF-S) and European Large Area Infrared Space Observatory Survey (ELAIS)-South 1 regions. DR2 improves upon the first data release by maintaining consistent data reductions across the two regions, including polarization analysis, and including differential number counts in total intensity and linear polarization. Typical DR2 sensitivities across the mosaicked multi-pointing images are 30 µJy per beam at approximately 12 arcseconds by 6 arcseconds resolution over a combined area of 6.4 square degrees. In their paper, the authors present detailed descriptions of their data reduction and analysis procedures, including corrections for instrumental effects such as positional variations in image sensitivity, bandwidth smearing with a non-circular beam, and polarization leakage, and application of the BLOBCAT source extractor. They present the DR2 images and catalogs of components (discrete regions of radio emission) and sources (groups of physically associated radio components), and describe new analytic methods to account for resolution bias and Eddington bias when constructing differential number counts of radio components. The authors use the term 'component' to refer to an isolated region of emission that is best described by a single 2D elliptical Gaussian. Blended regions of contiguous emission may consist of multiple individual components. Following the terminology from Hales et al. (2012, MNRAS, 425, 979), a 'blob' is an agglomerated island of pixels above an SNR cutoff, which may encapsulate a single component or a blended region of emission. In Section 6 of the reference paper, the authors use the term 'source' to refer to single or multiple components belonging to the same astronomical object. This HEASARC table contains the ATLAS 1.4 GHz DR2 component catalog, a portion of which is displayed in Table A1 of the reference paper for guidance regarding its form and content. The catalog lists a total of 2,588 components in total intensity and linear polarization; no components were discovered in circular polarization. A list of the ATLAS 1.4 GHz DR2 sources, a portion of which is displayed in Table B1 of the reference paper for guidance regarding its form and content, is not included in this HEASARC table. This table was created by the HEASARC in October 2014 based on an electronic version of Table A1 from the reference paper which was obtained from the MNRAS web site. This is a service provided by NASA HEASARC .
AT Large Area Survey (ATLAS) E-CDF-S 5.5-GHz Components Catalog
Star-forming galaxies are thought to dominate the sub-mJy radio population, but recent work has shown that low-luminosity active galactic nuclei (AGNs) can still make a significant contribution to the faint radio source population. Spectral indices are an important tool for understanding the emission mechanism of the faint radio sources. The authors have observed the extended Chandra Deep Field South at 5.5 GHz using a mosaic of 42 pointings with the Australia Telescope Compact Array (ATCA). Their image reaches an almost uniform sensitivity of ~ 12 µJy (µJy) rms over 0.25 deg<sup>2</sup> with a restoring beam of 4.9 arcsec x 2.0 arcsec, making the ATLAS 5.5-GHz survey one of the deepest 6-cm surveys to date. This table contains the 5.5 GHz catalog of 142 source components corresponding to the 123 sources in this field: the source counts from this field are discussed in the reference paper. This table was created by the HEASARC in February 2013 based on the electronic version of Table 1 from the reference paper which was obtained from the MNRAS web site. This is a service provided by NASA HEASARC .
DMSP F16 Special Sensors-Ions, Electrons, and Scintillation (SSIES) Thermal Plasma Analysis Package, Level 2 (L2), 1 s Data in CDF Format
The Special Sensors-Ions, Electrons, and Scintillation (SSIES) thermal plasma analysis package is a suite of instruments built by the Center for Space Sciences at the University of Texas at Dallas and flown on a number of the DMSP satellites. SSIESS includes a Retarding Potential Analyzer (RPA), Ion Drift meter (IDM), scintillation meter, and Langmuir probe.
AT Large Area Survey (ATLAS) CDF-S/SWIRE ID and Classification Catalog
This table contains some of the first results from the Australia Telescope Large Area Survey (ATLAS), which consists of deep radio observations of a 3.7 deg<sup>2</sup> field surrounding the Chandra Deep Field-South (CDF-S), largely coincident with the infrared Spitzer Wide-Area Infrared Extragalactic (SWIRE) Survey. A total of 784 radio components are identified (see the companion table ATLASCSCPT), corresponding to 726 distinct radio sources, nearly all of which are identified with SWIRE sources. Of the radio sources with measured redshifts, most lie in the redshift range 0.5 to 2 and include both star-forming galaxies and active galactic nuclei. The authors identify a rare population of infrared-faint radio sources that are bright at radio wavelengths but are not seen in the available optical, infrared, or X-ray data. Such rare classes of sources can only be discovered in wide, deep surveys such as this. The radio observations where made on 2002 Apr 4-27, Aug 24-29 and 2004 Jan 7-12, Feb 1-5, Jun 6-12 and Nov 24-30, with the Australia Telescope Compact Array (ATCA). The observations in 2002 were made in a mosaic of 7 overlapping fields, for a total of 149 hours of integration time, or 21.3 hours per pointing. The observations in 2004 were taken in the AT mosaic mode, in which the array was cycled around 21 pointing centers They total 173 hours of integration time, or 8.2 hours per pointing. All observations were made with two 128-MHz bands, centered on frequencies of 1344 and 1472 MHz. This table contains the list of 726 radio sources and their cross-identifications at optical and infrared wavelengths which were given in Table 6 of the reference paper. The authors define a radio 'component' as a region of radio emission identified in the source extraction process. They define a radio 'source' as one or more radio components that appear to be physically connected and that probably correspond to one galaxy. Thus, the authors count a classical triple radio-loud source as being a radio source consisting of three radio components, but count a pair of interacting starburst galaxies as being two sources, each with one radio component. his table was created by the HEASARC in August 2012 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/AJ/132/2409">CDS Catalog J/AJ/132/2409</a> file table6.dat. This is a service provided by NASA HEASARC .
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
AT Large Area Survey (ATLAS) CDF-S/SWIRE 1.4-GHz Components Catalog
This table contains some of the first results from the Australia Telescope Large Area Survey (ATLAS), which consists of deep 1.4-GHz radio observations of a 3.7 deg<sup>2</sup> field surrounding the Chandra Deep Field-South (CDF-S), largely coincident with the infrared Spitzer Wide-Area Infrared Extragalactic (SWIRE) Survey. A total of 784 radio components are identified, corresponding to 726 distinct radio sources, nearly all of which are identified with SWIRE sources in the companion table ATLASCSID. Of the radio sources with measured redshifts, most lie in the redshift range 0.5 to 2 and include both star-forming galaxies and active galactic nuclei. The authors identify a rare population of infrared-faint radio sources that are bright at radio wavelengths but are not seen in the available optical, infrared, or X-ray data. Such rare classes of sources can only be discovered in wide, deep surveys such as this. The radio observations where made on 2002 Apr 4-27, Aug 24-29 and 2004 Jan 7-12, Feb 1-5, Jun 6-12 and Nov 24-30, with the Australia Telescope Compact Array (ATCA). The observations in 2002 were made in a mosaic of 7 overlapping fields, for a total of 149 hours of integration time, or 21.3 hours per pointing. The observations in 2004 were taken in the AT mosaic mode, in which the array was cycled around 21 pointing centers They total 173 hours of integration time, or 8.2 hours per pointing. All observations were made with two 128-MHz bands, centered on frequencies of 1344 and 1472 MHz. This table contains the list of 784 radio components given in Table 4 of the reference paper. The authors define a radio 'component' as a region of radio emission identified in the source extraction process. They define a radio 'source' as one or more radio components that appear to be physically connected and that probably correspond to one galaxy. Thus, the authors count a classical triple radio-loud source as being a radio source consisting of three radio components, but count a pair of interacting starburst galaxies as being two sources, each with one radio component. This table was created by the HEASARC in August 2012 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/AJ/132/2409">CDS Catalog J/AJ/132/2409</a> file table4.dat. This is a service provided by NASA HEASARC .
STEREO-B In-Situ Measurements of Particles and CME Transients (IMPACT) Solar Wind Electron Analyzer (SWEA) Pitch Angle Distribution, Level 2 (L2), 30 s Data in CDF format
STEREO-B In-Situ Measurements of Particles and CME Transients (IMPACT) Solar Wind Electron Analyzer (SWEA) electron pitch angle distribution (PAD) in phase space density (in units of s^3/km^6) as a function of 12 pitch angle bins (centered at 7.5, 22.5, 37.5, 52.5, 67.5, 82.5, 97.5, 112.5, 127.5, 142.5, 157.5, 172.5 deg) and 10 variable energy bins (PAD values for energies < 50 eV are forced to fill values).
IMAGE RPI Dynamic Spectrogram data in CDF at NASA CDAWeb
RPI passive wave measurement capturing voltage spectral density of the radio emissions in space as a function of frequency, typically between 3 and 1009 kHz. This operating frequency range was selected by the RPI team to provide optimal temporal resolution of the wave observations. Commonly used in the analysis of noise generators, spectral density is a frequency-dependent characteristic that describes how much power is generated by the emission source in a 1 Hz bandwidth. The original description of emissions was done in terms of thermal noise measurements, though the same approach also applies to non-thermal emissions such as AKR. CDF_DS_PT5M stores calibrated data from all three RPI antennas X, Y, and Z individually and a combined X+Y antenna channel. The data are presented as the Voltage Spectral Density (VSD), which is the root of power spectral density, measured in [V/root-Hz] units. Note that conversion of antenna voltage to electric field strength depends on the effective length of the receive antenna, and such conversion is not performed here. (See spase://SMWG/Instrument/IMAGE/RPI for a time history of the lengths of the three mutually orthogonal RPI dipole antennas.) RPI is capable of detecting input radio emissions above its noise floor of 5 nV/root-Hz, which is determined by the internal white noise of the RPI antenna pre-amplifiers. The VSD in RPI spectrogram data is presented in dB relative to 1 V/root-Hz (logarithmic scale), units of dB(V/root-Hz). The RPI instrument noise floor is 5 nV/root-Hz = -166 dB(V/root-Hz) at the receiver input. Software suggested by the science team for CDF file visualization: (1) Plotting tool at the CDAWeb portal, (2) For analysis beyond static image inspection, including color scale optimization, zooming, text export, alternative data representations in physical units, detailed frequency and time information, overlaid model fpe and fce graphs, and EPS quality figures, use BinBrowser software at UML, http://ulcar.uml.edu/rpi.html
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.