PRISM products in VirES

This notebook demonstrates access to the data the MITx_LP_2F, MITxTEC_2F and PPIxFAC_2F Swarm products by means of the vires client.

For each VirES data collection the avaiable variables are listed. In addition, mapping the the variables of the source the products is provided [link to product documentation TBD].

The data for the whole Swarm mission is avaiable from the production VirES server API.

In [1]:
from viresclient import SwarmRequest

SERVER_URL = "https://vires.services/ows"

MITx_LP_2F - Midlatitude Ionospheric Trough from Langmuir Probe

Collections

Collection Dataset
SW_OPER_MITA_LP_2F Swarm A MIT from LP - MIT minima
SW_OPER_MITA_LP_2F:ID Swarm A MIT from LP - MIT boundaries ("ID" dataset)
SW_OPER_MITB_LP_2F Swarm B MIT from LP - MIT minima
SW_OPER_MITB_LP_2F:ID Swarm B MIT from LP - MIT boundaries ("ID" dataset)
SW_OPER_MITC_LP_2F Swarm C MIT from LP - MIT minima
SW_OPER_MITC_LP_2F:ID Swarm C MIT from LP - MIT boundaries ("ID" dataset)

Defult MIT minima dataset (SW_OPER_MITx_LP_2F collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp $$-$$ scalar UTC time of the MIT minimum
Latitude Latitude $$\text{deg}$$ scalar ITRF geocentric latitude of the MIT minimum
Longitude Longitude $$\text{deg}$$ scalar ITRF geocentric longitude of the MIT minimum
Radius Radius $$\text{m}$$ scalar ITRF geocentric radius of the MIT minimum
Latitude_QD Latitude_QD $$\text{deg}$$ scalar Quasi-dipole latitude of the MIT minimum
Longitude_QD Longitude_QD $$\text{deg}$$ scalar Quasi-dipole longitude of the MIT minimum
MLT_QD MLT $$\text{hour}$$ scalar Magnetic local time (QD) of the MIT minimum
L_value L_value $$-$$ scalar L-value in earth radii of the MIT minimum
SZA SZA $$\text{deg}$$ scalar Solar zenith angle of the MIT minimum
Ne Ne $$\text{cm}^{-3}$$ scalar LP electron density of the MIT minimum
Te Te $$\text{K}$$ scalar LP electron temperature of the MIT minimum
Depth Depth $$\text{cm}^{-3}$$ scalar depth of the MIT
DR DR $$%$$ scalar relative change in density within the MIT
Width Width $$\text{deg}$$ scalar width of the MIT calculated from QD latitudes
dL dL $$\text{deg}$$ scalar width of the MIT calculated from L-values
PW_Gradient PW_Gradient $$\log{\left(\text{cm}^{-3}\right)}\,\text{deg}^{-1}$$ scalar change in log electron density at the poleward wall of the MIT divided by QD latitude difference
EW_Gradient PW_Gradient $$\log{\left(\text{cm}^{-3}\right)}\,\text{deg}^{-1}$$ scalar change in log electron density at the equatorward wall of the MIT divided by QD latitude difference
Quality Quality $$-$$ vector [8] Characterises the detection quality of the MIT as a whole

ID dataset (SW_OPER_MITx_LP_2F:ID collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp_ID $$-$$ scalar UTC time of the observation
Latitude Latitude_ID $$\text{deg}$$ scalar ITRF geocentric latitude
Longitude Longitude_ID $$\text{deg}$$ scalar ITRF geocentric longitude
Radius Radius_ID $$\text{m}$$ scalar ITRF geocentric radius
Latitude_QD Latitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole latitude
Longitude_QD Longitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole longitude
MLT_QD MLT_ID $$\text{hour}$$ scalar Magnetic local time (QD)
L_value L_value_ID $$-$$ scalar L-value in earth radii
SZA SZA_ID $$\text{deg}$$ scalar Solar zenith angle
Ne Ne_ID $$\text{cm}^{-3}$$ scalar LP electron density
Te Te_ID $$\text{K}$$ scalar LP electron temperature
Position_Quality Position_Quality_ID $$-$$ scalar detection quality of each single position
PointType n/a $$-$$ scalar point type derived from the source *_ID column

These are the possible PointType values for the MITx_LP_2F products:

Value Hex. Bin. Meaning
0 0x0 0b0000 LP MIT equatorward edge of the equatorward wall
1 0x1 0b0001 LP MIT poleward edge of the equatorward wall
2 0x2 0b0010 LP MIT equatorward edge of poleward wall
3 0x3 0b0011 LP MIT poleward edge of the poleward boundary
4 0x4 0b0100 LP SETE equatorward bounding position
5 0x5 0b0101 LP SETE poleward bounding position
6 0x6 0b0110 LP Te peak position
In [2]:
request = SwarmRequest(SERVER_URL)

# request the default dataset
request.set_collection("SW_OPER_MITA_LP_2F")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["MIT_LP"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES 
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["MIT_LP:ID"]))
print("Response:", data)

# request the ID dataset
request.set_collection("SW_OPER_MITA_LP_2F:ID")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["MIT_LP:ID"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["MIT_LP:ID"]))
print("Response:", data)
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, Ne, Te, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:       (Counter_dim1: 2, Quality_dim1: 8, Timestamp: 26)
Coordinates:
  * Timestamp     (Timestamp) datetime64[ns] 2016-01-02T01:55:43.196999936 .....
Dimensions without coordinates: Counter_dim1, Quality_dim1
Data variables: (12/22)
    Spacecraft    (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A' 'A'
    L_value       (Timestamp) float64 4.054 6.672 4.327 ... 2.792 8.536 2.718
    SZA           (Timestamp) float64 115.9 110.0 116.0 ... 115.7 107.9 115.5
    EW_Gradient   (Timestamp) float64 0.09388 0.05572 0.1658 ... 0.2769 0.1235
    Te            (Timestamp) float64 2.849e+03 1.608e+03 ... 2.696e+03
    Quality       (Timestamp, Quality_dim1) int8 2 1 2 1 2 1 3 ... -1 -1 0 1 3 1
    ...            ...
    MLT           (Timestamp) float64 5.114 16.5 5.387 ... 4.955 17.43 4.926
    Counter       (Timestamp, Counter_dim1) uint32 11820 2 11821 1 ... 1 11834 2
    Depth         (Timestamp) float64 2.316e+04 1.061e+04 ... 1.385e+04
    QDLat         (Timestamp) float64 59.08 66.39 60.18 ... 51.75 69.26 51.14
    MLT_QD        (Timestamp) float64 5.114 16.5 5.387 ... 4.955 17.43 4.926
    dL            (Timestamp) float64 2.189 5.277 3.384 ... 1.496 9.577 0.9613
Attributes:
    Sources:         ['SW_OPER_MITA_LP_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, Ne, Te, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:           (Counter_dim1: 2, Timestamp: 146)
Coordinates:
  * Timestamp         (Timestamp) datetime64[ns] 2016-01-02T01:55:10.19699993...
Dimensions without coordinates: Counter_dim1
Data variables: (12/17)
    Spacecraft        (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    Position_Quality  (Timestamp) int8 3 3 3 3 3 3 2 -1 3 ... 3 3 3 3 -1 2 3 3 2
    MLT               (Timestamp) float64 5.126 5.125 5.115 ... 4.964 4.973
    L_value           (Timestamp) float64 4.607 4.552 4.131 ... 2.707 2.055 1.93
    Counter           (Timestamp, Counter_dim1) uint32 11820 2 11820 ... 11834 2
    SZA               (Timestamp) float64 116.1 116.1 115.9 ... 114.2 113.8
    ...                ...
    Radius            (Timestamp) float64 6.817e+06 6.817e+06 ... 6.82e+06
    QDLon             (Timestamp) float64 125.1 125.0 124.8 ... 154.8 154.8
    Latitude          (Timestamp) float64 64.89 64.7 63.1 ... 54.99 47.94 46.09
    Ne                (Timestamp) float64 1.368e+04 1.345e+04 ... 3.418e+04
    Longitude         (Timestamp) float64 48.41 48.44 48.72 ... 81.25 81.32
    PointType         (Timestamp) uint8 5 3 2 1 6 4 0 0 1 ... 0 0 1 2 3 3 2 1 0
Attributes:
    Sources:         ['SW_OPER_MITA_LP_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []

MITxTEC_2F - Midlatitude Ionospheric Trough from GPS TEC

Collection Dataset
SW_OPER_MITATEC_2F Swarm A MIT from GPS TEC - MIT minima
SW_OPER_MITATEC_2F:ID Swarm A MIT from GPS TEC - MIT boundaries ("ID" dataset)
SW_OPER_MITBTEC_2F Swarm B MIT from GPS TEC - MIT minima
SW_OPER_MITBTEC_2F:ID Swarm B MIT from GPS TEC - MIT boundaries ("ID" dataset)
SW_OPER_MITCTEC_2F Swarm C MIT from GPS TEC - MIT minima
SW_OPER_MITCTEC_2F:ID Swarm C MIT from GPS TEC - MIT boundaries ("ID" dataset)

defult MIT minima dataset (SW_OPER_MITxTEC_2F collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp $$-$$ scalar UTC time of the MIT minimum
Latitude Latitude $$\text{deg}$$ scalar ITRF geocentric latitude of the MIT minimum
Longitude Longitude $$\text{deg}$$ scalar ITRF geocentric longitude of the MIT minimum
Radius Radius $$\text{m}$$ scalar ITRF geocentric radius of the MIT minimum
Latitude_QD Latitude_QD $$\text{deg}$$ scalar Quasi-dipole latitude of the MIT minimum
Longitude_QD Longitude_QD $$\text{deg}$$ scalar Quasi-dipole longitude of the MIT minimum
MLT_QD MLT $$\text{hour}$$ scalar Magnetic local time (QD) of the MIT minimum
L_value L_value $$-$$ scalar L-value in earth radii of the MIT minimum
SZA SZA $$\text{deg}$$ scalar Solar zenith angle of the MIT minimum
TEC TEC $$\text{TECU}$$ scalar Total electron content at the MIT minimum
Depth Depth $$\text{cm}^{-3}$$ scalar depth of the MIT
DR DR $$%$$ scalar relative change in density within the MIT
Width Width $$\text{deg}$$ scalar width of the MIT calculated from QD latitudes
dL dL $$\text{deg}$$ scalar width of the MIT calculated from L-values
PW_Gradient PW_Gradient $$\text{TECU}\,\text{deg}^{-1}$$ scalar change in log electron density at the poleward wall of the MIT divided by QD latitude difference
EW_Gradient PW_Gradient $$\text{TECU}\,\text{deg}^{-1}$$ scalar change in log electron density at the equatorward wall of the MIT divided by QD latitude difference
Quality Quality $$-$$ vector [8] Characterises the detection quality of the MIT as a whole

ID dataset (SW_OPER_MITxTEC_2F:ID collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp_ID $$-$$ scalar UTC time of the observation
Latitude Latitude_ID $$\text{deg}$$ scalar ITRF geocentric latitude
Longitude Longitude_ID $$\text{deg}$$ scalar ITRF geocentric longitude
Radius Radius_ID $$\text{m}$$ scalar ITRF geocentric radius
Latitude_QD Latitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole latitude
Longitude_QD Longitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole longitude
MLT_QD MLT_ID $$\text{hour}$$ scalar Magnetic local time (QD)
L_value L_value_ID $$-$$ scalar L-value in earth radii
SZA SZA_ID $$\text{deg}$$ scalar Solar zenith angle
TEC TEC_ID $$\text{TECU}$$ scalar Total electron content
Position_Quality Position_Quality_ID $$-$$ scalar detection quality of each single position
PointType n/a $$-$$ scalar point type derived from the source *_ID column

These are the possible PointType values for the MITxTEC_2F products:

Value Hex. Bin. Meaning
0 0x0 0b0000 TEC MIT equatorward edge of the equatorward wall
1 0x1 0b0001 TEC MIT poleward edge of the equatorward wall
2 0x2 0b0010 TEC MIT equatorward edge of poleward wall
3 0x3 0b0011 TEC MIT poleward edge of the poleward boundary
In [3]:
request = SwarmRequest(SERVER_URL)

# request the default dataset
request.set_collection("SW_OPER_MITATEC_2F")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["MIT_TEC"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES   
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["MIT_TEC:ID"]))
print("Response:", data)

# request the ID dataset
request.set_collection("SW_OPER_MITATEC_2F:ID")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["MIT_TEC:ID"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES 
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["MIT_TEC:ID"]))
print("Response:", data)
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, TEC, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:       (Counter_dim1: 2, Quality_dim1: 8, Timestamp: 15)
Coordinates:
  * Timestamp     (Timestamp) datetime64[ns] 2016-01-02T06:24:35 ... 2016-01-...
Dimensions without coordinates: Counter_dim1, Quality_dim1
Data variables: (12/21)
    Spacecraft    (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A' 'A'
    L_value       (Timestamp) float64 7.023 6.087 5.634 ... 3.827 8.94 4.142
    SZA           (Timestamp) float64 111.8 111.5 111.2 ... 116.4 108.1 116.4
    EW_Gradient   (Timestamp) float64 0.05158 0.1142 0.1856 ... 0.1983 0.07255
    Quality       (Timestamp, Quality_dim1) int8 -1 0 1 -1 0 1 ... 3 -1 0 1 3 1
    Longitude     (Timestamp) float64 174.2 150.4 126.6 ... 150.3 -86.42 79.9
    ...            ...
    MLT           (Timestamp) float64 17.2 17.72 18.07 ... 4.656 17.44 4.871
    Counter       (Timestamp, Counter_dim1) uint32 11823 1 11824 1 ... 1 11834 2
    Depth         (Timestamp) float64 0.4311 0.5704 1.165 ... 0.7037 0.7399
    QDLat         (Timestamp) float64 67.03 65.1 64.11 ... 58.07 69.76 59.4
    MLT_QD        (Timestamp) float64 17.2 17.72 18.07 ... 4.656 17.44 4.871
    dL            (Timestamp) float64 16.54 12.09 6.328 ... 5.066 9.904 11.83
Attributes:
    Sources:         ['SW_OPER_MITATEC_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, TEC, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:           (Counter_dim1: 2, Timestamp: 60)
Coordinates:
  * Timestamp         (Timestamp) datetime64[ns] 2016-01-02T06:21:52 ... 2016...
Dimensions without coordinates: Counter_dim1
Data variables: (12/16)
    Spacecraft        (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    Position_Quality  (Timestamp) int8 1 3 -1 -1 2 3 -1 -1 ... 3 -1 -1 -1 3 3 -1
    MLT               (Timestamp) float64 17.37 17.35 16.97 ... 4.928 4.949
    L_value           (Timestamp) float64 3.368 3.895 13.32 ... 9.49 2.87 2.371
    Counter           (Timestamp, Counter_dim1) uint32 11823 1 11823 ... 11834 2
    SZA               (Timestamp) float64 108.6 109.4 113.3 ... 115.3 114.7
    ...                ...
    Latitude_QD       (Timestamp) float64 55.69 58.39 73.53 ... 70.16 50.86 47.0
    Radius            (Timestamp) float64 6.818e+06 6.818e+06 ... 6.819e+06
    QDLon             (Timestamp) float64 -123.3 -123.8 -130.5 ... 154.7 154.8
    Latitude          (Timestamp) float64 60.65 63.15 77.01 ... 54.81 51.03
    Longitude         (Timestamp) float64 171.9 172.2 177.7 ... 80.88 81.11
    PointType         (Timestamp) uint8 0 1 2 3 0 1 2 3 0 ... 0 0 1 2 3 3 2 1 0
Attributes:
    Sources:         ['SW_OPER_MITATEC_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []

PPIxFAC_2F - Midnight Plasmapause Index

Collection Dataset
SW_OPER_PPIAFAC_2F Swarm A PPI and SSFAC boundaries
SW_OPER_PPIAFAC_2F:ID Swarm A edges of the SSFAC boundaries ("ID" dataset)
SW_OPER_PPIBFAC_2F Swarm B PPI and SSFAC boundaries
SW_OPER_PPIBFAC_2F:ID Swarm B edges of the SSFAC boundaries ("ID" dataset)
SW_OPER_PPICFAC_2F Swarm C PPI and SSFAC boundaries
SW_OPER_PPICFAC_2F:ID Swarm C edges of the SSFAC boundaries ("ID" dataset)

defult SSFAC boundary (SW_OPER_PPIxFAC_2F collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp $$-$$ scalar UTC time of the SSFAC boundary
Latitude Latitude $$\text{deg}$$ scalar ITRF geocentric latitude of the SSFAC boundary
Longitude Longitude $$\text{deg}$$ scalar ITRF geocentric longitude of the SSFAC boundary
Radius Radius $$\text{m}$$ scalar ITRF geocentric radius of the SSFAC boundary
Latitude_QD Latitude_QD $$\text{deg}$$ scalar Quasi-dipole latitude of the SSFAC boundary
Longitude_QD Longitude_QD $$\text{deg}$$ scalar Quasi-dipole longitude of the SSFAC boundary
MLT_QD MLT $$\text{hour}$$ scalar Magnetic local time (QD) of the SSFAC boundary
L_value L_value $$-$$ scalar L-value in earth radii of the SSFAC boundary
SZA SZA $$\text{deg}$$ scalar Solar zenith angle of the SSFAC boundary
Sigma Sigma $$-$$ scalar Standard deviation of the linear fit of S at the boundary
PPI PPI $$\text{R_E}$$ scalar midnight plasmapause index
dL dL $$\text{deg}$$ scalar boundary width in Earth radii
Quality Quality $$-$$ vector [7] Quality indicators of SSFAC boundary detection

ID dataset (SW_OPER_PPIxFAC_2F:ID collections)

Avaiables Variables:

VirES Variable Source Product Variable Unit Dimension Description
Counter Counter $$-$$ vector[2] Swarm orbit and quarter orbit counters
Timestamp Timestamp_ID $$-$$ scalar UTC time of the observation
Latitude Latitude_ID $$\text{deg}$$ scalar ITRF geocentric latitude
Longitude Longitude_ID $$\text{deg}$$ scalar ITRF geocentric longitude
Radius Radius_ID $$\text{m}$$ scalar ITRF geocentric radius
Latitude_QD Latitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole latitude
Longitude_QD Longitude_QD_ID $$\text{deg}$$ scalar Quasi-dipole longitude
MLT_QD MLT_ID $$\text{hour}$$ scalar Magnetic local time (QD)
L_value L_value_ID $$-$$ scalar L-value in earth radii
SZA SZA_ID $$\text{deg}$$ scalar Solar zenith angle
Position_Quality Position_Quality_ID $$-$$ scalar detection quality of each single position
PointType n/a $$-$$ scalar point type derived from the source *_ID column

These are the possible PointType values for the PPIxFAC_2F products:

Value Hex. Bin. Meaning
0 0x0 0b0000 equatorward edge of SSFAC boundary
1 0x1 0b0001 poleward edge of SSFAC boundary
In [4]:
request = SwarmRequest(SERVER_URL)

# request the default dataset
request.set_collection("SW_OPER_PPIAFAC_2F")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["PPI_FAC"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES   
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["PPI_FAC:ID"]))
print("Response:", data)

# request the ID dataset
request.set_collection("SW_OPER_PPIAFAC_2F:ID")
request.set_products(
    measurements=SwarmRequest.PRODUCT_VARIABLES["PPI_FAC:ID"], # request all dataset variables
    auxiliaries=['QDLat', 'QDLon', 'MLT'], # QD coordinates and MLT calculated by VirES 
)

data = request.get_between(
    start_time="2016-01-02T00:00:00Z",
    end_time="2016-01-03T00:00:00Z",
    asynchronous=False,
).as_xarray()

print("Requested variables", ", ".join(SwarmRequest.PRODUCT_VARIABLES["PPI_FAC:ID"]))
print("Response:", data)
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:       (Counter_dim1: 2, Quality_dim1: 7, Timestamp: 25)
Coordinates:
  * Timestamp     (Timestamp) datetime64[ns] 2016-01-02T00:05:50.500000 ... 2...
Dimensions without coordinates: Counter_dim1, Quality_dim1
Data variables: (12/17)
    Spacecraft    (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A' 'A'
    PPI           (Timestamp) float64 5.022 5.931 1.881 ... 4.526 4.04 5.571
    L_value       (Timestamp) float64 5.059 5.873 1.929 ... 4.518 3.976 5.507
    Counter       (Timestamp, Counter_dim1) uint32 11819 1 11819 2 ... 2 11834 2
    SZA           (Timestamp) float64 106.6 116.4 99.95 ... 105.9 116.5 116.7
    MLT           (Timestamp) float64 17.21 4.956 16.88 ... 18.07 4.848 4.823
    ...            ...
    Quality       (Timestamp, Quality_dim1) int8 3 3 -1 0 -1 1 ... -1 -1 0 1 1 3
    Sigma         (Timestamp) float64 0.4301 0.3153 0.2562 ... 0.1527 0.4721
    QDLon         (Timestamp) float64 -25.57 146.9 -53.39 ... 19.23 177.1 154.1
    Latitude      (Timestamp) float64 54.2 69.51 37.46 ... 54.51 64.04 68.72
    Longitude     (Timestamp) float64 -94.79 70.74 -118.8 ... -63.55 103.3 78.72
    dL            (Timestamp) float64 1.075 2.876 0.138 ... 2.777 1.342 2.166
Attributes:
    Sources:         ['SW_OPER_PPIAFAC_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []
Requested variables Counter, Latitude_QD, Longitude_QD, MLT_QD, L_value, SZA, Position_Quality, PointType
Response: <xarray.Dataset>
Dimensions:           (Counter_dim1: 2, Timestamp: 50)
Coordinates:
  * Timestamp         (Timestamp) datetime64[ns] 2016-01-02T00:05:07.500000 ....
Dimensions without coordinates: Counter_dim1
Data variables: (12/15)
    Spacecraft        (Timestamp) object 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
    Position_Quality  (Timestamp) int8 2 2 2 2 2 2 2 2 2 2 ... 2 1 1 2 2 3 3 2 2
    MLT               (Timestamp) float64 17.2 17.21 4.941 ... 4.902 4.781 4.834
    L_value           (Timestamp) float64 4.253 5.328 7.181 ... 7.279 5.113
    Counter           (Timestamp, Counter_dim1) uint32 11819 1 11819 ... 11834 2
    SZA               (Timestamp) float64 105.6 106.9 116.5 ... 116.8 116.7
    ...                ...
    Latitude_QD       (Timestamp) float64 60.72 64.09 67.89 ... 68.05 63.51
    Radius            (Timestamp) float64 6.819e+06 6.819e+06 ... 6.817e+06
    QDLon             (Timestamp) float64 -25.52 -25.58 146.9 ... 153.7 154.2
    Latitude          (Timestamp) float64 51.45 54.97 72.12 ... 72.41 67.63
    Longitude         (Timestamp) float64 -94.96 -94.74 69.78 ... 77.39 79.02
    PointType         (Timestamp) uint8 0 1 1 0 0 1 1 0 1 ... 1 1 0 0 1 1 0 1 0
Attributes:
    Sources:         ['SW_OPER_PPIAFAC_2F_20160101T000000_20161231T235959_0103']
    MagneticModels:  []
    RangeFilters:    []