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  <Version>2.4.1</Version>
  <NumericalData>
    <ResourceID>spase://CNES/NumericalData/CDPP-AMDA/Rosetta/LAP/ros-lap-nel</ResourceID>
    <ResourceHeader>
      <ResourceName>plasma density (NEL)</ResourceName>
      <AlternateName>Plasma density which contains the highest time resolution cross-calibrated density data, 

when RPC-MIP is not delivering cross-calibrated density products</AlternateName>

      <ReleaseDate>2019-08-26T18:52:52Z</ReleaseDate>

      <Description>This data set is based on LAP data with use of a long-term LAP-MIP cross calibration for some time intervals 

when MIP-LAP density is not available. Plasma density derived from individual current 
measurements or floating potential measurements on one probe.
            
This is a preliminary data set which will be replaced by another in a few months.
            </Description>

      <Contact>
        <PersonID>spase://CNES/Person/CDPP-AMDA/Anders.Eriksson</PersonID>
        <Role>PrincipalInvestigator</Role>
      </Contact>
      <Contact>
        <PersonID>spase://CNES/Person/CDPP-AMDA/Erik.Johansson</PersonID>
        <Role>DataProducer</Role>
      </Contact>
      <InformationURL>
        <Name>RPC User Guide</Name>
        <URL>http://amda.irap.omp.eu/help/parameters/RPC_USER_GUIDE.PDF</URL>
      </InformationURL>
      <InformationURL>
        <Name>RPC LAP User Guide</Name>
        <URL>http://amda.irap.omp.eu/help/parameters/RO-IRFU-LAP-UG.PDF</URL>
      </InformationURL>
      <InformationURL>
        <Name>RPC-LAP to Planetary Science Archive Interface Control Document</Name>
        <URL>http://amda.irap.omp.eu/help/parameters/RO-IRFU-LAP-EAICD.PDF</URL>
      </InformationURL>
      <InformationURL>
        <Name>RPC-LAP Report on cross-calibration of LAP data to measurements by other RPC instruments</Name>
        <URL>http://amda.irap.omp.eu/help/parameters/RO-IRFU-LAP-XCAL_1_0_PDF_A-1b.PDF</URL>
      </InformationURL>
    </ResourceHeader>
    <AccessInformation>

      <RepositoryID>spase://SMWG/Repository/CDPP/AMDA</RepositoryID>
      <Availability>Online</Availability>
      <AccessRights>Open</AccessRights>
      <AccessURL>
        <Name>CDPP/AMDA HAPI Server</Name>

        <URL>https://amda.irap.omp.eu/service/hapi</URL>

        <Style>HAPI</Style>

        <ProductKey>ros-lap-nel</ProductKey>

        <Description>Web Service to this product using the HAPI interface.</Description>
      </AccessURL>
      <Format>CSV</Format>

      <Acknowledgement>Thank you for acknowledging the use of AMDA in publications with wording like "Data analysis was performed with the AMDA science analysis system provided by the Centre de Données de la Physique des Plasmas (CDPP) supported by CNRS, CNES, Observatoire de Paris and Université Paul Sabatier, Toulouse". See the Rules of the road at https://amda.cdpp.eu/help/policy.html . Please acknowledge the Data Providers.</Acknowledgement>

    </AccessInformation>

    <AccessInformation>

      <RepositoryID>spase://SMWG/Repository/CDPP/AMDA</RepositoryID>
      <Availability>Online</Availability>
      <AccessRights>Open</AccessRights>
      <AccessURL>
        <Name>CDPP/AMDA Web application</Name>

        <URL>https://amda.cdpp.eu</URL>

        <Description>Access to Data via CDPP/AMDA Web application.</Description>
      </AccessURL>
      <Format>CSV</Format>
      <Format>VOTable</Format>
      <Format>CDF</Format>
      <Format>PNG</Format>

      <Acknowledgement>Thank you for acknowledging the use of AMDA in publications with wording like "Data analysis was performed with the AMDA science analysis system provided by the Centre de Données de la Physique des Plasmas (CDPP) supported by CNRS, CNES, Observatoire de Paris and Université Paul Sabatier, Toulouse". See the Rules of the road at https://amda.cdpp.eu/help/policy.html . Please acknowledge the Data Providers.</Acknowledgement>

    </AccessInformation>

    <ProviderName>PSA</ProviderName>
    <ProviderResourceName>RO-C-RPCLAP-5-xxx-NEL-V1.0</ProviderResourceName>
    <InstrumentID>spase://CNES/Instrument/CDPP-AMDA/Rosetta/LAP</InstrumentID>
    <MeasurementType>ThermalPlasma</MeasurementType>
    <TemporalDescription>
      <TimeSpan>
        <StartDate>2014-11-06T13:04:34Z</StartDate>
        <StopDate>2016-09-30T10:36:40Z</StopDate>
      </TimeSpan>
      <CadenceMin>PT0.016S</CadenceMin>
      <CadenceMax>PT128S</CadenceMax>
    </TemporalDescription>
    <Caveats>

            It is highly recommended to take into account quality value while working with plasma density. 
            * Parameter n_e_good corresponds to n_e quality gt 0.2
            * Parameter n_e - all n_e quality values
            * Note that you can colorize n_e parameter with the quality value (use ColoredParameter field of Plot Interface).
            * Please always download  quality value along with the n_e parameter.
            
            Data Source :
            * 1 - Downsampled floating potential measurement for an illuminated LAP1
            * 2 - Downsampled floating potential measurement for an illuminated LAP2
            * 3 - Vz for LAP1
            * 4 - Vz for LAP1, but using a linearly extrapolated sweep
            Quality Flag : 
            
            A quality flag is a (base 10) integer that is constructed in the two steps below:
            * Add together the constants associated with the relevant quality-related effects listed below. Note that these constants are chosen such that every digit represents up to three true/false values for the presence/absence of three specific separate quality-related effects.
            * Should the three quality-related effects be irrelevant for the given data product, then that digit is replaced by the digit “9”.
            
            Quality flag event description :
            * +1 - Low quality sweep analysis model fit
            * +2 - One of two meanings: (1) Low sample size; an average is based on fewer data points than nominal (due to filtering or otherwise) and applies to sweep steps and downsampled time series. (2) zero-padding; zeros replace lost samples for the purpose of calculating PSD.
            * +10 - One of two meanings: (1) Sweep data product and data products based on sweeps: SAA rotation of more than 0.05° during sweep. (2) Downsampled time series data product: Bias change within the 32 s downsampling period.
            * +20 - Probe in partial or full shadow
            * +100 - Rosetta wheel off-loading (WOL) or Orbit-control-maneuver (OCM)
            * +200 - One of two meanings: (1) For LAP1: LDL disturbance (LAP2 in LDL mode); (2) For LAP2: Contamination signature possibly present
            * +400 - Saturation
            
            Example: suppose that one encounters the quality flag “109”. 109 = 100 + 9 means (1) that there is an ongoing wheel off-loading (+100), and (2) that the quality-related effects associated with +1 and +2 cannot occur even in principle for the kind of data that one is looking at.                       
</Caveats>

    <Parameter>
      <Name>n_e_good (qual_nel&gt; 0.2)</Name>
      <ParameterKey>ros_lap_nel_good</ParameterKey>
      <Description>Plasma density  which contains the highest time resolution cross-calibrated density data, 

when RPC-MIP is not delivering cross-calibrated density products. Quality value &gt; 0.2</Description>

      <Units>cm^-3</Units>
      <RenderingHints>
        <DisplayType>TimeSeries</DisplayType>
      </RenderingHints>
      <FillValue>0.0</FillValue>
      <Support>
        <SupportQuantity>Other</SupportQuantity>
      </Support>
    </Parameter>
    <Parameter>
      <Name>n_e (nel)</Name>
      <ParameterKey>ros_lap_nel</ParameterKey>
      <Description>Plasma density which contains the highest time resolution cross-calibrated density data, 

when RPC-MIP is not delivering cross-calibrated density products</Description>

      <Units>cm^-3</Units>
      <RenderingHints>
        <DisplayType>TimeSeries</DisplayType>
      </RenderingHints>
      <FillValue>-1.e+09</FillValue>
      <Particle>
        <ParticleQuantity>NumberDensity</ParticleQuantity>
      </Particle>
    </Parameter>
    <Parameter>
      <Name>n_e : qual</Name>
      <ParameterKey>ros_lap_nel_q</ParameterKey>
      <Description>Quality value in the range 0 (worst) to 1 (best). Corresponds to goodness of fit or how well the model fits the data.</Description>

      <RenderingHints>
        <DisplayType>TimeSeries</DisplayType>
      </RenderingHints>

      <Support>
        <SupportQuantity>Other</SupportQuantity>
      </Support>
    </Parameter>
    <Parameter>
      <Name>data source</Name>
      <ParameterKey>ros_lap_nel_s</ParameterKey>

      <RenderingHints>
        <DisplayType>TimeSeries</DisplayType>
      </RenderingHints>

      <Support>
        <SupportQuantity>Other</SupportQuantity>
      </Support>
    </Parameter>
    <Parameter>
      <Name>quality flag</Name>
      <ParameterKey>ros_lap_nel_f</ParameterKey>
      <Description>Quality flag constructed as the sum of multiple terms, 

depending on what quality related effects are present. Each digit is either in 
the range 0 (best) to 7 (worst), or 9 (not used)</Description>

      <RenderingHints>
        <DisplayType>TimeSeries</DisplayType>
      </RenderingHints>

      <Support>
        <SupportQuantity>Other</SupportQuantity>
      </Support>
    </Parameter>
  </NumericalData>

</Spase>