cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21978/p82k7x
title: Wind 3DP Weimer Propagated 60 s Resolution in GSM Coordinates
title: Wind 3DP data

description: Wind 3DP propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution 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. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.
DOI: 10.21978/p86d15
title: Wind Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates
title: Wind MFI data

description: Wind 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. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.
DOI: 10.21978/p8b32p
title: Wind Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates
title: Wind MFI data

description: Wind 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 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. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.
DOI: 10.21978/p8fw5p
title: Wind Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates
title: Wind MFI data

description: Wind 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. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.
DOI: 10.21978/p8qd0f
title: Wind Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates
title: Wind MFI data

description: Wind 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. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.*odoy.*odoy + 0.000576303146.*odoy + 0.679940509 + 0.3215*cos(2*pi*(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.
DOI: 10.21978/p8t321
title: Wind Solar Wind Weimer Propagation Details at 1 min Resolution

description: Wind 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.
DOI: 10.48322/cbvx-4034
title: Wind Hot Plasma and Charged Particles (3DP) Electron Electrostatic Analyzer (EESA) Low, Omnidirectional Flux Spectra, 5 eV to 1100 eV, 24 s Data

description: Wind Three-Dimensional Particle, 3DP, instrument, Electron Electrostatic Analyzer, EESA, Low Energy Spectra, ELSP, omni directional electron differential number flux spectra, 3 eV to 30 keV.
DOI: 10.48322/63fs-yr96
title: Wind 3DP EESA-HIGH Electron Pitch-Angle Distributions

description: Wind 3DP electron pitch angle product providing electron fluxes in 8 directional bins relative to the local magnetic field direction at 15 different energy levels.
DOI: 10.48322/c201-q577
title: Wind 3DP 24-sec ESSA-HIGH Electron Omnidirectional Fluxes

description: Electron omnidirectional fluxes 100 eV-30 keV, often at 24 sec, EESA High, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/4tk0-a011
title: Wind 3DP EESA-LOW Electron Moments

description: Electron Moments (ground-computed), EESA Low, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/bsy7-7789
title: Wind 3DP Electron Plasma Moments

description: Electron Plasma moments (computed on-board) (NOT CORRECTED FOR S/C POTENTIAL) @ 3 second (spin) resolution (version 3), EESA LOW, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/kesf-re26
title: Wind 3DP EESA-LOW Electron Pitch-Angle Distributions

description: Wind 3DP electron pitch angle product providing electron fluxes in 8 directional bins relative to the local magnetic field direction at 15 different energy levels. Time resolution is mode- dependent, with 96s being used for the past several years and with higher resolution (e.g., 24s) used for some earlier intervals. For any given cadence, electron observations made over the full cadence interval and in all look directions in and out of the spacecraft spin plane, are folded together with the magnetic field vector as averaged over the cadence interval, to produce the pitch angle distributions. The data are calibrated science quality data.
DOI: 10.48322/ndp9-8t38
title: Wind 3DP Solar Wind Plasma Corrected Electron Moments (EMFITS), 100 s Data

description: These Electron Parameters are Moments of Wind 3DP EESA-L and EESA-H Measurements, corrected for Spacecraft Potential and other Instrumental Effects. More Information can be found at: R. P. Lin et al., A Three-Dimensional Plasma and Energetic Particle Investigation for the Wind Spacecraft, Space Science Reviews, 71, 125-153, 1995. C. S. Salem et al., Precision Electron Measurements in the Solar Wind at 1 AU from NASA's Wind Spacecraft, J. Geophys. Res. Space Physics, 2017. M. Pulupa et al., Spin-Modulated Spacecraft Floating Potential: Observations and Effects on Electron Moments, J. Geophys. Res. Space Physics, 119, 647-657, doi:10.1002/2013JA019359, 2014.
DOI: 10.48322/c4mf-9n52
title: Wind 3DP 24-sec Ion OmniDirectional Fluxes and Moments

description: Wind 3DP Omnidirectional Fluxes and Moments for 0.4 to 3.0 keV Ions and Moments, 24 s Data
DOI: 10.48322/kwfz-zk29
title: Wind 3DP 92-sec Key Parameter Data

description: Wind 3DP (3-D Plasma Analyzer), 92-s key parameters, ion and electron fluxes (at 7 energy steps), flow velocities, densities and temperatures
DOI: 10.48322/aawb-c884
title: Wind 3DP SST Foil Electron Energy-Angle Distributions

description: Electron energy-angle distributions 27-520 keV, often at 24 sec, SST Foil, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/s8e6-aw08
title: Wind 3DP PESA Moments Data

description: Wind 3DP proton and ion onboard calculated moments from the PESA instrument. Calibrated science quality data.
DOI: 10.48322/wd3x-9a34
title: Wind 3DP SST Foil Electron Omnidirectional Fluxes

description: Electron omnidirectional fluxes 27-520 keV, often at 24 sec, SST Foil, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/wkk0-y398
title: Wind 3DP SST Open Proton Omniderectional Fluxes

description: Proton omnidirectional fluxes 70 keV - 6.8 MeV, often at 24 sec, SST Open, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/yw1c-yf03
title: Wind 3DP SST Open Proton Energy-Angle Distributions

description: Proton energy-angle distributions 70 keV - 6.8 MeV, often at 24 sec, SST Open, Wind 3DP - R. Lin (UC Berkeley)
DOI: 10.48322/5kyp-x878
title: Wind 3DP Plasma data at UCB

description: Wind 3DP thermal and energetic ion and electron distributions and moments, multiple CDF file types
DOI: 10.48322/b88q-p434
title: Wind Definitive Attitude, 10 min Data, Spin Axis Orientation Angles in GCI, GSE and GSM Coordinates

description: Wind Definitive Attitude Body Spin Rate and Spin Axis Orientation Right Ascension and Declination Angles in Geocentric Celestial Inertial, GCI, Geocentric Solar Ecliptic, GSE, and Geocentric Solar Magnetospheric, GSE, Coordinates
DOI: 10.5281/zenodo.18176783
title: Dataset for "KnowYourCG: Facilitating base-level sparse methylome interpretation" --- EPICv2

description: Records for EPICv2 knowledgebases
DOI: 10.22008/fk2/ohi23z/aw5npq
title: MB_region.nc

description: MB region. Git hash: 20af941
DOI: 10.22008/fk2/ohi23z/txnx5q
title: MB_sector.nc

description: MB by sector. Git hash: 20af941
DOI: 10.15468/dl.ze7uxv
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Heliophila macowaniana Schltr."
 ]
}

 The dataset includes 64 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237987-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ykup4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austroniscus groenlandicus (Hansen, 1916)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113886-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnpn9j
title: Occurrence Download

description: A dataset containing 41810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-50.54503 21.19514,5.72906 21.19514,5.72906 43.69514,-50.54503 43.69514,-50.54503 21.19514))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sterna hirundo Linnaeus, 1758",
 "Year 2001-2022"
 ]
}

 The dataset includes 41810 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216024-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/58q73q
title: MB_SMB_D_BMB.csv

description: MB CSV. Git hash: 20af941
DOI: 10.22008/fk2/ohi23z/qtdfvm
title: MB_region.nc

description: MB region. Git hash: 20af941
DOI: 10.15468/dl.55v8yd
title: Occurrence Download

description: A dataset containing 7750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthis flammea (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "Year is 2009",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252750-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6t2uf
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hermonassa arenosa Butler, 1881",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130018-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/ubzuqi
title: MB_sector.nc

description: MB by sector. Git hash: 20af941
DOI: 10.15468/dl.kmhm9q
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austropandalus grayi (Cunningham, 1871)"
 ]
}

 The dataset includes 101 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113888-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/5tosnv
title: MB_SMB_D_BMB.csv

description: MB CSV. Git hash: 20af941
DOI: 10.22008/fk2/ohi23z/xzn3ee
title: MB_region.nc

description: MB region. Git hash: 20af941
DOI: 10.15468/dl.9twpan
title: Occurrence Download

description: A dataset containing 79510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia",
 "Year 2010-2022"
 ]
}

 The dataset includes 79510 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165924-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k8qsj
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Austrominius covertus (Foster, 1982)"
 ]
}

 The dataset includes 93 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113883-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/n32bem
title: MB_sector.nc

description: MB by sector. Git hash: 20af941
DOI: 10.22008/fk2/ohi23z/hnzprr
title: MB_SMB_D_BMB_ann.csv

description: MB annual CSV. Git hash: 20af941
DOI: 10.15468/dl.a9w36d
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer tataricum subsp. aidzuense (Franch.) P.C.de Jong",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 273 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190813-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eszt6w
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudaeginella vaderi Guerra-García, 2004"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131125-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/ub5nv3
title: MB_SMB_D_BMB.csv

description: MB CSV. Git hash: 20af941
DOI: 10.22008/fk2/ohi23z/t3unqc
title: MB_region.nc

description: MB region. Git hash: 20af941