Quickstart
We provide a few ways to load data, please see Data for a detailed explanation of the data formats and retrieval methods.
Get data with Speasy
Speasy.jl provides functions to load data from main Space Physics WebServices (CDA,SSC,AMDA,..).
It could be installed using using Pkg; Pkg.add("Speasy")
.
using Speasy: get_data
using CairoMakie, SpacePhysicsMakie
# da = get_data("amda/imf", "2016-6-2", "2016-6-5")
da = get_data("cda/OMNI_HRO_1MIN/Pressure", "2016-6-2", "2016-6-3"; sanitize=true)
SpeasyVariable{Float32, 2}: Pressure
Time Range: 2016-06-02T00:00:00.000000000 to 2016-06-02T23:59:00.000000000
Units: nPa
Size: (1440, 1)
Memory Usage: 19.660 KiB
Metadata:
FILLVAL: Any[99.98999786376953]
FIELDNAM: Flow pressure
VALIDMAX: Any[100.0]
SCALEMAX: Any[100.0]
CATDESC: Flow pressure (nPa)
VALIDMIN: Any[0.0]
DISPLAY_TYPE: time_series
UNITS: nPa
VAR_NOTES: Derived parameters are obtained from the following equations. Flow pressure = (2*10**-6)*Np*Vp**2 nPa (Np in cm**-3, Vp in km/s, subscript p for proton)
DEPEND_0: Epoch
BIN_LOCATION: 0.0
FORMAT: F5.2
VAR_TYPE: data
SCALEMIN: Any[0.0]
LABLAXIS: Flow pressure
Plot the data
tplot(da)

Get data using Heliophysics Application Programmer's Interface (HAPI)
HAPIClient.jl provides functions to load data from HAPI-compliant servers.
It could be installed using using Pkg; Pkg.add("HAPIClient")
.
using HAPIClient: get_data
da = get_data("CDAWeb/AC_H0_MFI/Magnitude,BGSEc", "2001-1-2", "2001-1-2T6")
HAPIVariables: CDAWeb/AC_H0_MFI
Magnitude [Time Range: 2001-01-02T00:00:15 to 2001-01-02T05:59:59, Units: nT, Size: (1350,)]
BGSEc [Time Range: 2001-01-02T00:00:15 to 2001-01-02T05:59:59, Units: nT, Size: (1350, 3)]
Metadata - Dict{String, Any} with 8 entries:
"stopDate" => "2025-05-29T23:59:58Z"
"resourceURL" => "https://cdaweb.gsfc.nasa.gov/misc/NotesA.html#AC_H0_MFI"
"uri" => URI("https://cdaweb.gsfc.nasa.gov/hapi/data?time.min=2001-01…
"parameters" => Any[Dict{String, Any}("length"=>24, "name"=>"Time", "units"=…
"startDate" => "1997-09-02T00:00:12Z"
"status" => Dict{String, Any}("message"=>"OK", "code"=>1200)
"HAPI" => "2.0"
"contact" => "N. Ness @ Bartol Research Institute"
Plot the data
using CairoMakie, SpacePhysicsMakie
tplot(da)

Get data with PySPEDAS
PySPEDAS.jl provides a Julia interface to the PySPEDAS Python package, offering a similar API for Julia users to utilize the existing Python routines.
It could be installed using using Pkg; Pkg.add("PySPEDAS")
.
using SpacePhysicsMakie: tplot
using PySPEDAS.Projects
using DimensionalData
using CairoMakie
da = themis.fgm(["2020-04-20/06:00", "2020-04-20/08:00"], time_clip=true, probe="d");
keys(da)
# Same as more verbose `pyspedas.projects.themis.fgm(...)`
(:thd_fgs_btotal, :thd_fgs_gse, :thd_fgs_gsm, :thd_fgs_dsl, :thd_fgl_btotal, :thd_fgl_gse, :thd_fgl_gsm, :thd_fgl_dsl, :thd_fgl_ssl, :thd_fgh_btotal, :thd_fgh_gse, :thd_fgh_gsm, :thd_fgh_dsl, :thd_fgh_ssl, :thd_fge_btotal, :thd_fge_gse, :thd_fge_gsm, :thd_fge_dsl, :thd_fge_ssl)
Plot the data
f = Figure()
tplot(f[1,1], [da.thd_fgs_gsm, da.thd_fgs_btotal])
tplot(f[2,1], [DimArray(da.thd_fgl_gsm), DimArray(da.thd_fgl_btotal)])
f
