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68 results for “IMPS”
Bioequivalence of IMP 08P1707F0 Relative to Pulmicort® (1.0 Mg/2 Ml Suspension)
ClinicalTrials.gov study NCT06595121. IPD Sharing: YES. Countries: 1. Publications: 0.
Motivational Strategies in Batterer Intervention Programs for Offenders With Alcohol/Drug Abuse Problems (IMP-ADAPs)
ClinicalTrials.gov study NCT03885349. IPD Sharing: NO. Countries: 1. Publications: 0.
To Demonstrate the Superiority of IMP (1% OPA-15406 Ointment) to the Vehicle in Adult Patients With AD
ClinicalTrials.gov study NCT05667623. IPD Sharing: NO. Countries: 1. Publications: 0.
The Equivalency of the Imp SFB7+ (L-Dex U400) With the Imp XCA Device
ClinicalTrials.gov study NCT00766935. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AirMSPI verison 6 terrain-projected georegistered radiance product acquired during the ImPACT-PM flight campaign
AirMSPI_ImPACT-PM_Terrain-projected_Georegistered_Radiance_Data is an AirMSPI terrain-projected georegistered radiance product acquired during the JPL and Caltech Imaging Polarimetric Assessment and Characterization of Tropospheric Particulate Matter (ImPACT-PM) flight campaign.AirMSPI Level 1B2 products contain radiometric and polarimetric images of clouds, aerosols, and the surface of the Earth. In particular, products contain map-projected data at 8 wavelengths: 355, 380, 445, 470, 555, 660, 865, and 935 nm. The data products include radiance, time, solar zenith, solar azimuth, view zenith, and view azimuth for all spectral bands. Wavelengths for which polarization information is available (470, 660, and 865 nm) and include the Stokes parameters Q and U, as well as degree of linear polarization (DOLP) and angle of linear polarization (AOLP). Q, U, and AOLP are reported relative to both the scattering and view meridian planes. Files are distributed in HDF-EOS-5 format.This release of AirMSPI data contains all targets acquired during the Imaging Polarimetric Assessment and Characterization of Tropospheric Particulate Matter (ImPACT-PM) flight campaign, which involved the ER-2 based out of Armstrong Flight Research Center in Palmdale, CA and a Navy Twin Otter flying the Caltech CIRPAS suite of instruments based out of Monterey, CA. The campaign was conducted to test a strategy to use multi-angle, spectro-polarimetric remote sensing to retrieve information on the distributions of atmospheric particle types, with emphasis on carbon-containing compounds, as a precursor to NASA’s Multi-Angle Imager for Aerosols, an Earth Venture-Instrument currently in formulation. AirMSPI data were acquired from July 5 through July 8, 2016.
IMP dehydrogenase-2 drives aberrant nucleolar activity and structure in glioblastoma
GEO Series GSE124727. Homo sapiens. 4 samples. Type: Expression profiling by array.
Expression Profiling of Cells In The Perilesional Area of Mouse Cerebral Cortex After Traumatic Brain Injury (TBI) with Immune-Modifying Particle (IMP) Treatment
GEO Series GSE266610. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
The General Objective of This Study is to Monitor, Assess, and Prevent the Potential Medication Errors Among Inpatients in the Tertiary Healthcare Facility of Nepal. This Study Aims to Develop and Imp
ClinicalTrials.gov study NCT07002606. IPD Sharing: NO. Countries: 0. Publications: 0.
IMPS DIAMETERS AND ALBEDOS V1.0
This product represents averaged radiometric diameters and geometric albedos derived from observations made by the Infrared Astronomical Satellite in 1983 for 1796 numbered asteroids and 88 unnumbered asteroids whose orbital elements were determined using astrometry from two or more apparitions.
MPF LANDER MARS IMP STEREO-DERIVED 3D POSITIONS V1.0
Three-dimensional position information for pixels in IMP (Imager for Mars Pathfinder) stereo-pair images.
IMP 8 Goddard Medium Energy (GME) 30-min energetic particle rates and fluxes
This CDAWeb-accessible data set contains 30-minute, spin-averaged count rates and fluxes, and their statistical uncertainties, of energetic particles from the IMP8 GME experiment. Included are fluxes of: protons in 30 energy bins from 0.88-1.15 to 327-485 MeV; alpha particles in 21 energy bins from 1.14-1.36 to 63.3-81.0 MeV/n; and 0.3-18 MeV electrons. Also included are count rates for each of 7 sensors and for 11 multi-sensor coincidence modes. Proton and alpha particle fluxes, for every other energy bin, are given at the FTPBrowser and MSSP interfaces identified below.
mRNP-mRNA Association Map (Tier I - G10, HuR, Imp, PABP)
GEO Series GSE14535. Homo sapiens. 33 samples. Type: Other.
IMP Opacities Bundle
Derived opacities from Mars Pathfinder
IMP 8 MIT Full Resolution Definitive Interplanetary Plasma Data
The MIT Faraday cup experiment on IMP 8 measures currents from solar wind ions, and from these measurements we calculate the velocity, density, and temperature of the solar wind. The IMP 8 data files consist of fine resolution data (approximately 1 minute resolution). IMP 8 spins with a period of approximately 2.7s. The Faraday Cup (FC) instrument scans the solar wind distribution stepping through a contiguous set of energy windows, one step per spacecraft spin. The FC instrument divides the spin into thirty-two, 11.25 degree angular sectors and integrates the measured currents over different angular sectors depending upon the Mode in which the instrument is operating. The border between two of the 11.25 degree angular sectors lies on the Sun-spacecraft line. The FC sensor collector plate is divided into two, semi-circular halves; the division line is parallel to the spacecraft spin plane which is approximately parallel to the ecliptic plane. The split collector allow determination of the bulk plasma flow relative to the spin plane; North/South angles refer to flows coming from above or below the spin plane respectively (flows from the South are designated as having a positive N/S angle). The bulk flow angle in the spin plane is determined from the measurements of current vs. rotation angle. The currents telemetered to the ground are the sums of currents for the two half-collectors ("A" and "B") and, for the TMS and AQM modes, also the current for the half-collector "B". Electrons are measured except for the eight angles near the Sun. The experiment has two memories only one of which is operating perfectly. As a result, only every other TMS spectrum is usable, and the time between spectra is usually twice that that would be expected from the spacecraft spin rate. The bad half-memory also limits the energy windows that can be used in the other modes, since they require both memories to hold the data. On occasion, the data are read out rapidly enough by the spacecraft to allow repeated use of the good half-memory, and the time resolution in the TMS is approximately 32 seconds.
IMP 8 MAG 15.36s Magnetic Field Measurements
IMP 8 magnetic field measurements from tri-axis magnetometer. Time resolution is 15.36 second. Data are based on a 2010 data reprocessing by the PI team. Parameter details below are based on the version of the data in CDAWeb.
IMP-8 PLS Solar Wind Weimer Propagated 60 s Resolution Data in GSE Coordinates
IMP-8 PLS propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
IMP-8 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates
IMP-8 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution Tri-axial fluxgate magnetometer data in GSM coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
IMP-8 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates
IMP-8 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies. References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405.
IMP-8 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates
IMP-8 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies and cross correlation studies on solar wind.
IMP-8 Linearly Interpolated 60 s Resolution PLS data in GSM Coordinates
IMP-8 linearly interpolated to have the measurements on the minute at 60 s resolution PLS data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies and cross correlation studies on solar wind.
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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.