Showing 1 - 44 |

1) | AMPTE/UKS Ion Plasma Data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/AMPTE_UKS/Plasma/FTR_PT5S | ||||||||||||||||||

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AMPTE/UKS 5-second (spin) averaged ion plasma moments |

2) | AMPTE/UKS Ion Plasma Data, solar wind mode | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/AMPTE_UKS/Plasma/SWI_PT5S | ||||||||||||||||||

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AMPTE/UKS 5-second (spin) averaged ion plasma moments |

3) | Dynamics Explorer 1 Plasma Waves Instrument DC electric field data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/DCEF/PT1S | ||||||||||||||||||

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Plasma Waves Instrument DC electric field data |

4) | Dynamics Explorer 1 Plasma Waves Instrument Low Frequency Receiver A data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/LFCA/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Low Frequency Receiver A data |

5) | Dynamics Explorer 1 Plasma Waves Instrument Low Frequency Receiver B data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/LFCB/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Low Frequency Receiver B data |

6) | Dynamics Explorer 1 Plasma Waves Instrument Low Frequency Receiver Phase data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/LFCPH/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Low Frequency Receiver Phase data |

7) | Dynamics Explorer 1 Plasma Waves Instrument Step Frequency Receiver A data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/SFRA/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Step Frequency Receiver A data |

8) | Dynamics Explorer 1 Plasma Waves Instrument Step Frequency Receiver B data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/SFRB/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Step Frequency Receiver B data |

9) | Dynamics Explorer 1 Plasma Waves Instrument Step Frequency Receiver Phase data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/DE1/PWI/SFRPH/PT1S | ||||||||||||||||||

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Plasma Waves Instrument Step Frequency Receiver Phase data |

10) | Dynamics Explorer 1 Plasma Wave Instrument Sweep Frequency Receiver-A 2 Hour Dynamic Spectrogram Plots | |||||||||||||||||
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Resource ID:spase://VWO/DisplayData/DynamicsExplorer1/PWI/SFR.A.PT2H | ||||||||||||||||||

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This dataset contains two hour duration dynamic spectrogram GIF plots of the DE-1/PWI SFR-A (electric antenna). Each image is a plot of the power spectral density (V^2 m^-2 Hz^-1) of received signal (color scale) as a function of operating frequency (in a logarithmic scale on the vertical axis) and time (horizontal axis). At the top center of each plot is a title indicating the University of Iowa, the instrument, and the date. On the upper left is an indication of the receiver used, the upper right is the orbit number. Immediately below the title is a horizontal bar and the label "WB" on the extreme left indicating the time duration when wideband data were acquired. Beneath the time labels on the horizontal axis of the spectrogram are ephemeris data: position of the spacecraft in radial distance (Earth radii), McIlwain L-shell, magnetic local time, and geomagnetic latitude. Overlaid on each image are traces of the electron, hydrogen and oxygen cyclotron frequencies. Running along the left edge of the plot next to the frequency scale is the date represented as two digit year, day of year, hour and minute of the start of the plot. |

11) | ISEE 1 FPE plasma parameters, 6 Re to bow shock | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/FPE/PT1M | ||||||||||||||||||

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TBD |

12) | ISEE 1 Solar Wind Analyzer 24-s Plasma Parameters | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/FPE/PT24S | ||||||||||||||||||

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This data set contains 24s (fast data rate) or 48s (slow rate) solar wind ion plasma parameters obtained during 1977-1983 solar wind seasons (~July - ~January) when the spacecraft's local time of apogee was on the Earth's dayside. Plasma parameters include ion density, flow speed, flow longitude and latitude angles, perpendicular (minimum) and parallel (maximum) temperatures, and alpha-to-proton density ratio. Data are available through the CDAWeb interface and, as daily files via ftp, in ASCII from nssdcftp and in CDF from CDAWeb's ftp area. The data are from LANL's Cross-Fan Solar Wind Ion Experiment, a companion to LANL's Fast Plasma Analyzer (FPE). |

13) | ISEE 1 VES Electron Data at 9s or 18s | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/VES/PT18S | ||||||||||||||||||

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This data set, held in CDAWeb as ISEE1_H0_FE, contains electron moments from the Vector Electron Spectrometer (VES), and spacecraft position vectors, at 9s or 18s resolution, depending on spacecraft telemetry rate. The data set also holds 1-min averages of the measured magnetic field vector. Electron moments include density, flow velocity, temperature and its anisotropy, and heat flux vector. Also given are the pressure tensor, its diagonalizing eigenvector, and the angle between its principal axis and the ambient magnetic field vector. These parameters are based on distributions accumulated in 3 sec but telemetered over 9s or 18s. Ancillary information given includes the spacecraft spin period, the spacecraft potential, the energy channels above this potential on which the moments for this record were based, and on/off flags for the Harvey and Mozer experiments. |

14) | ISEE 2 FPE plasma parameters, 6 Re to bow shock | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE2/FPE/PT1M | ||||||||||||||||||

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TBD |

15) | LANL 1989 87-sec Plasma Data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/1989/MPA/PT87S | ||||||||||||||||||

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The LANL 1989-046 MPA data set contains various parameters in a variety of coordinates systems including GEI, spacecraft, polar geographic, and polar magnetic coordinates at about 87 s resolution. These parameters include universal time, denisty, velocity, and temperature for both low and high energy ions and electrons as well as position information and instrument status flags. |

16) | Los Alamos National Laboratory 1990-095 spacecraft Magnetospheric Plasma Analyzer (MPA) at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/1990/MPA/PT87S | ||||||||||||||||||

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The LANL 1990-095 MPA data set contains various parameters in a variety of coordinates systems including GEI, spacecraft, polar geographic, and polar magnetic coordinates at about 87 s resolution. These parameters include universal time, denisty, velocity, and temperature for both low and high energy ions and electrons as well as position information and instrument status flags. |

17) | Los Alamos National Laboratory 1991-080 spacecraft Magnetospheric Plasma Analyzer (MPA) at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/1991/MPA/PT87S | ||||||||||||||||||

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The LANL 1991-080 MPA data set contains various parameters in a variety of coordinates systems including GEI, spacecraft, polar geographic, and polar magnetic coordinates at about 87 s resolution. These parameters include universal time, denisty, velocity, and temperature for both low and high energy ions and electrons as well as position information and instrument status flags. |

18) | Los Alamos National Laboratory 1994-084 spacecraft Magnetospheric Plasma Analyzer (MPA) at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/1994/MPA/PT87S | ||||||||||||||||||

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The LANL 1994-084 MPA data set contains various parameters in a variety of coordinates systems including GEI, spacecraft, polar geographic, and polar magnetic coordinates at about 87 s resolution. These parameters include universal time, denisty, velocity, and temperature for both low and high energy ions and electrons as well as position information and instrument status flags. |

19) | Los Alamos National Laboratory 1997-97A spacecraft Magnetospheric Plasma Analyzer (MPA) at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/1997/MPA/PT87S | ||||||||||||||||||

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The LANL 1997-97A MPA data set contains various parameters in a variety of coordinates systems including GEI, spacecraft, polar geographic, and polar magnetic coordinates at about 87 s resolution. These parameters include universal time, denisty, velocity, and temperature for both low and high energy ions and electrons as well as position information and instrument status flags. |

20) | LANL01A MPA at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/2001/MPA/PT87S | ||||||||||||||||||

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The LANL 01A MPA data set contains numerical moments computed from measurements of the Los Alamos Magnetospheric Plasma Analyzer (MPA) [Bame et al., Rev. Sci. Inst., in press 1993]. The moments are presented in s/c coordinates: the z-axis is aligned with the spin axis, which points radially toward the center of the Earth; the x-axis is in the plane containing the spacecraft spin axis and the spin axis of the Earth, with +X generally northward; and the y-axis points generally eastward. Polar angles are measured relative to the spin axis (+Z), and azimuthal angles are measured around the z-axis, with zero along the +X direction. The moments are computed for three 'species': lop (low-ener. ions, ~1eV/e-~130eV/e); hip (hi-ener. ions, ~130eV/e-~45keV/e); alle (electrons, ~30eV - ~45keV ). The electron measurements are obtained 21.5 secs after the ion measurements. Epoch is the measurement time appropriate for the ions. The moments are computed after the fluxes are corrected for background and s/c potential. Algorithms for these corrections are relatively unsophisticated, so the moments are suspect during times of high background and/or high spacecraft potential. Because the determined spacecraft potential is not very precise, the magnitude of the low-energy ion flow velocity is probably not accurate, but the flow direction is well determined. Tperp and Tpara are obtained from diagonalization of the 3-dimensional temperature matrix, with the parallel direction assigned to the eigenvalue which is most different from the other two. The corresponding eigenvector is the symmetry axis of the distribution and should be equivalent to the magnetic field direction. The eigenvalue ratio Tperp/Tmid, which is provided for each species, is a measure of the symmetry of the distribution and should be ~1.0 for a good determination. Several of the parameters have a fairly high daily dynamic range and for survey purposes are best displayed logarithmically. These parameters are indicated by non-zero 'SCALEMIN' values in this file. A quality flag value of 1 indicates that the values are suspect because of unreliable location info. |

21) | LANL02A MPA at 87 sec Resolution in Spacecraft Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/LANL/2002/MPA/PT87S | ||||||||||||||||||

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The LANL 02A MPA data set contains numerical moments computed from measurements of the Los Alamos Magnetospheric Plasma Analyzer (MPA) [Bame et al., Rev. Sci. Inst., in press 1993]. The moments are presented in s/c coordinates: the z-axis is aligned with the spin axis, which points radially toward the center of the Earth; the x-axis is in the plane containing the spacecraft spin axis and the spin axis of the Earth, with +X generally northward; and the y-axis points generally eastward. Polar angles are measured relative to the spin axis (+Z), and azimuthal angles are measured around the z-axis, with zero along the +X direction. The moments are computed for three 'species': lop (low-ener. ions, ~1eV/e-~130eV/e); hip (hi-ener. ions, ~130eV/e-~45keV/e); alle (electrons, ~30eV - ~45keV ). The electron measurements are obtained 21.5 secs after the ion measurements. Epoch is the measurement time appropriate for the ions. The moments are computed after the fluxes are corrected for background and s/c potential. Algorithms for these corrections are relatively unsophisticated, so the moments are suspect during times of high background and/or high spacecraft potential. Because the determined spacecraft potential is not very precise, the magnitude of the low-energy ion flow velocity is probably not accurate, but the flow direction is well determined. Tperp and Tpara are obtained from diagonalization of the 3-dimensional temperature matrix, with the parallel direction assigned to the eigenvalue which is most different from the other two. The corresponding eigenvector is the symmetry axis of the distribution and should be equivalent to the magnetic field direction. The eigenvalue ratio Tperp/Tmid, which is provided for each species, is a measure of the symmetry of the distribution and should be ~1.0 for a good determination. Several of the parameters have a fairly high daily dynamic range and for survey purposes are best displayed logarithmically. These parameters are indicated by non-zero 'SCALEMIN' values in this file. A quality flag value of 1 indicates that the values are suspect because of unreliable location info. |

22) | THEMIS-A: ESA electron/ion energy fluxes and moments | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/A/ESA/PT3S | ||||||||||||||||||

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THEMIS-A: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance. |

23) | ARTEMIS P1 field-plasma merged data, near moon | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/B/ESA.FGM/PT96S | ||||||||||||||||||

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This data set contains 96s and 384s resolution magnetic field and plasma ion data from the THEMIS-B ESA and FGM instruments during the near moon (ARTEMIS) phase of the spacecraft life (>~September 1, 2010). The data are at each resolution for several mutually exclusive, contiguous hours during most days. The field-plasma-merged data set was created at GSFC/Space Physics Data Facility (SPDF) as part of the LunaSOX effort, from CDAWeb data sets THB_L2_ESA (good quality, high angular resolution mode only) and THB_L2_FGM. Geocentric spacecraft and moon orbit data from SSCWeb were used to add geocentric and selenocentric spacecraft position data to the merged data set records. |

24) | THEMIS-B: ESA electron/ion energy fluxes and moments | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/B/ESA/PT3S | ||||||||||||||||||

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THEMIS-B: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance. |

25) | ARTEMIS P2 field-plasma merged data, near moon | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/C/ESA.FGM/PT96S | ||||||||||||||||||

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This data set contains 96s and 384s resolution magnetic field and plasma ion data from the THEMIS-C ESA and FGM instruments during the near moon (ARTEMIS) phase of the spacecraft life (>~September 1, 2010). The data are at each resolution for several mutually exclusive, contiguous hours during most days. The field-plasma-merged data set was created at GSFC/Space Physics Data Facility (SPDF) as part of the LunaSOX effort, from CDAWeb data sets THC_L2_ESA (good quality, high angular resolution mode only) and THC_L2_FGM. Geocentric spacecraft and moon orbit data from SSCWeb were used to add geocentric and selenocentric spacecraft position data to the merged data set records. |

26) | THEMIS-C: ESA electron/ion energy fluxes and moments | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/C/ESA/PT3S | ||||||||||||||||||

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THEMIS-C: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance. |

27) | THEMIS-D: ESA electron/ion energy fluxes and moments | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/D/ESA/PT3S | ||||||||||||||||||

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THEMIS-D: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance. |

28) | THEMIS-E: ESA electron/ion energy fluxes and moments | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/THEMIS/E/ESA/PT3S | ||||||||||||||||||

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THEMIS-E: Electrostatic Analyzers (ESA): Electron/Ion Ground-Calculated Energy Fluxes (5eV - 25 keV for Ions and 6eV - 30 KeV for Electrons) and Moments (density, velocity, pressure, and temperature). The satellite has 2 modes Fast and Slow survey and 3 data types: FULL, REDUCED and BURST. FULL: 88 angles x 32 energies, time resolution of 128 spins(395 seconds) in slow survey and 32 spins(98 seconds) in fast survey. REDUCED: spin time resolution(3 sec) but angles averaged into 1 angular spectra x 32 energies in slow survey or 6 angular spectra(90 degree x 90 degree window) x 32 energies in fast survey. BURST: 88 angles x 32 energies and spin time resolution(3 sec) but only available sporadically and for short duration. Note that angular resolution affects moments since they are obtained integrating over the mode-specific angular distribution. These moments are processed on the ground. They should be regarded as approximations but will improve in quality as our processing routines are improved over the course of the mission to account for additional sources of variance. |

29) | ACE Linearly Interpolated 60 s Resolution SWEPAM data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ACE/SWEPAM/Processed/GSE/PT60S | ||||||||||||||||||

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ACE linearly interpolated to have the measurements on the minute at 60 s resolution SWEPAM 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. |

30) | ACE Linearly Interpolated 60 s Resolution SWEPAM data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ACE/SWEPAM/Processed/GSM/PT60S | ||||||||||||||||||

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ACE linearly interpolated to have the measurements on the minute at 60 s resolution SWEPAM 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. |

31) | ACE SWEPAM Solar Wind Weimer Propagated 60 s Resolution Data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ACE/SWEPAM/Propagated.SWEPAM/GSE/PT60S | ||||||||||||||||||

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ACE Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution SWEPAM 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. |

32) | ISEE-1 Linearly Interpolated 60 s Resolution Fast Plasma Experiment data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment data linearly interpolated to have the measurements on the minute at 60 s resolution 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. |

33) | ISEE-1 Linearly Interpolated 60 s Resolution Fast Plasma Experiment data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment data linearly interpolated to have the measurements on the minute at 60 s resolution 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. |

34) | ISEE-1 Fast Plasma Experiment Solar Wind Weimer Propagated 60 s Resolution Data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment Weimer 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. |

35) | ISEE-1 Fast Plasma Experiment Solar Wind Weimer Propagated 60 s Resolution Data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Propagated.FPE/GSM/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution FPE 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. |

36) | ISEE-1 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 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. |

37) | ISEE-1 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Propagated.FPE/GSM/PT60S | ||||||||||||||||||

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ISEE-1 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. |

38) | ISEE-1 Solar Wind Weimer Propagation Details at 1 min Resolution | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/TAP/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated time delay, cosine angle, and goodness information of propagated data at 1 min Resolution. 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. |

39) | ISEE-2 Fast Plasma Experiment Linearly Interpolated 60 s Resolution data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/FPE/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-2 Fast Plasma Experiment linearly interpolated to have the measurements on the minute at 60 s resolution 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. |

40) | ISEE-2 Fast Plasma Experiment Linearly Interpolated 60 s Resolution data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/FPE/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-2 Fast Plasma Experiment linearly interpolated to have the measurements on the minute at 60 s resolution 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. |

41) | ISEE-3 Linearly Interpolated 60 s Resolution Solar Wind Plasma data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma 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. |

42) | ISEE-3 Linearly Interpolated 60 s Resolution Solar Wind Plasma data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma 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. |

43) | ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Propagated.SWP/GSE/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma 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. |

44) | ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Propagated.SWP/GSM/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma 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. |

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