<?xml version="1.0" encoding="UTF-8"?>
<DataSubset xmlns="https://metadata.pithia.eu/schemas/2.2" xmlns:doi="http://www.doi.org/2010/DOISchema" xmlns:gmd="http://www.isotc211.org/2005/gmd" xmlns:gml="http://www.opengis.net/gml/3.2" xmlns:xlink="http://www.w3.org/1999/xlink">
<identifier>
<PITHIA_Identifier>
<localID>DataSubset_TFT_LSTID_Forecasting_Model_For_DB049_Training_Period_01082022-24072024</localID>
<namespace>noa</namespace>
<version>1</version>
<creationDate>2025-06-01T09:34:00Z</creationDate>
<lastModificationDate>2025-06-01T09:48:00Z</lastModificationDate>
</PITHIA_Identifier>
</identifier>
<entryIdentifier xlink:href="https://metadata.pithia.eu/resources/2.2/staticDataset/noa/StaticDatasetEntry_LSTIDs_Forecasting_With_The_Temporal_Fusion_Transformer_TFT"/>
<dataSubsetName>TFT LSTID forecasting model for DB049: training period 01/01/2022-24/07/2024</dataSubsetName>
<dataSubsetDescription>LSTID forecasting with the Temporal Fusion Transformer for Dourbes station (DB049), trained over the time period from 01/01/2022 to 24/07/2024.</dataSubsetDescription>
<featureOfInterest>
<namedRegion xlink:href="https://metadata.pithia.eu/ontology/2.2/featureOfInterest/Earth"/>
<namedRegion xlink:href="https://metadata.pithia.eu/ontology/2.2/featureOfInterest/Earth_Ionosphere"/>
</featureOfInterest>
<dataCollection xlink:href="https://metadata.pithia.eu/resources/2.2/collection/noa/DataCollection_T-FORS_LSTID_Forecasting_TFT"/>
<resultTime>
<gml:TimePeriod gml:id="rtp1" frame="#ISO-8601">
<gml:begin>
<gml:TimeInstant gml:id="rst1" frame="#ISO-8601">
<gml:timePosition frame="#ISO-8601">2022-01-01T00:00:00Z</gml:timePosition>
</gml:TimeInstant>
</gml:begin>
<gml:end>
<gml:TimeInstant gml:id="ret1" frame="#ISO-8601">
<gml:timePosition frame="#ISO-8601">2024-07-24T23:59:00Z</gml:timePosition>
</gml:TimeInstant>
</gml:end>
</gml:TimePeriod>
</resultTime>
<source>
<OnlineResource>
<linkage>
<gmd:URL>https://github.com/themelis/LSTIDs_forecasting/blob/main/datasets/DB049/techtide_DB049_nearestfill_202208_202407.csv</gmd:URL>
</linkage>
<name>DB049 datasets (01/08/2022-24/07/2024)</name>
<protocol>https</protocol>
<description>Spectral Energy Contribution (SEC) values derived with the HF Interferometry method at mid-latitude Digisonde locations. The HFI calculations are provided by the Ebro Observatory.</description>
<dataFormat xlink:href="https://metadata.pithia.eu/ontology/2.2/resultDataFormat/text-csv"/>
</OnlineResource>
</source>
<source>
<OnlineResource>
<linkage>
<gmd:URL>https://github.com/themelis/LSTIDs_forecasting/tree/main/datasets/fmi</gmd:URL>
</linkage>
<name>Auroral electrojet indices IL and IU</name>
<protocol>https</protocol>
<description>Auroral electrojet indices IL and IU provided by the FMI IMAGE network.</description>
<dataFormat xlink:href="https://metadata.pithia.eu/ontology/2.2/resultDataFormat/text-csv"/>
</OnlineResource>
</source>
<source>
<OnlineResource>
<linkage>
<gmd:URL>https://github.com/themelis/LSTIDs_forecasting/tree/main/datasets/gnss</gmd:URL>
</linkage>
<name>Gradient GNSS TEC Activity Index</name>
<protocol>https</protocol>
<description>Gradient GNSS TEC Activity Index provided by DLR</description>
<dataFormat xlink:href="https://metadata.pithia.eu/ontology/2.2/resultDataFormat/text-csv"/>
</OnlineResource>
</source>
<source>
<OnlineResource>
<linkage>
<gmd:URL>https://github.com/themelis/LSTIDs_forecasting/blob/main/notebooks/DB049/DB049_TFTmodel_20220101_20240724.ipynb</gmd:URL>
</linkage>
<name>Notebook</name>
<protocol>https</protocol>
<description>Notebook is provided to load the TFT forecasting model.</description>
</OnlineResource>
</source>
<source>
<OnlineResource>
<linkage>
<gmd:URL>https://github.com/themelis/LSTIDs_forecasting/blob/main/datasets/DB049/oe_hfi_DB049_nearestfill_20220101_20230630.csv</gmd:URL>
</linkage>
<name>DB049 datasets (01/01/2022-30/06/2023)</name>
<protocol>https</protocol>
<description>Spectral Energy Contribution (SEC) values derived with the HF Interferometry method at mid-latitude Digisonde locations. The HFI calculations are provided by the Ebro Observatory.</description>
<dataFormat xlink:href="https://metadata.pithia.eu/ontology/2.2/resultDataFormat/text-csv"/>
</OnlineResource>
</source>
<doi>
<doi:referentDoiName>21.15112/42b2974d-de2f-47d7-93bd-af2112ae4c44</doi:referentDoiName>
<doi:primaryReferentType>Creation</doi:primaryReferentType>
<doi:registrationAgencyDoiName>10.000/000</doi:registrationAgencyDoiName>
<doi:issueDate>2025-06-08</doi:issueDate>
<doi:issueNumber>1</doi:issueNumber>
<doi:referentCreation>
<doi:name primaryLanguage="en">
<doi:value>TFT LSTID forecasting model for DB049: training period 01/01/2022-24/07/2024</doi:value>
<doi:type>Name</doi:type>
</doi:name>
<doi:identifier>
<doi:nonUriValue>21.15112/42b2974d-de2f-47d7-93bd-af2112ae4c44</doi:nonUriValue>
<doi:uri returnType="text/html">https://hdl.handle.net/21.15112/42b2974d-de2f-47d7-93bd-af2112ae4c44</doi:uri>
<doi:type>URI</doi:type>
</doi:identifier>
<doi:structuralType>Digital</doi:structuralType>
<doi:mode>Visual</doi:mode>
<doi:character>Language</doi:character>
<doi:type>Dataset</doi:type>
<doi:principalAgent>
<doi:name>
<doi:value>National Observatory of Athens</doi:value>
<doi:type>Name</doi:type>
</doi:name>
</doi:principalAgent>
</doi:referentCreation>
</doi>
<dataLevel xlink:href="https://metadata.pithia.eu/ontology/2.2/dataLevel/L4"/>
<qualityAssessment>
<dataQualityFlag xlink:href="https://metadata.pithia.eu/ontology/2.2/dataQualityFlag/DQ2"/>
</qualityAssessment>
</DataSubset>