<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.898377</identifier><creators><creator><creatorName>Mallast, Ulf</creatorName><givenName>Ulf</givenName><familyName>Mallast</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-9238-3464</nameIdentifier></creator><creator><creatorName>Siebert, Christian</creatorName><givenName>Christian</givenName><familyName>Siebert</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-7266-8112</nameIdentifier></creator></creators><titles><title>Temporal continuos drone-based thermal infrared data</title></titles><publisher>PANGAEA</publisher><publicationYear>2019</publicationYear><subjects><subject>Drone</subject><subject>submarine groundwate discharge</subject><subject>thermal infrared</subject><subject>unmanned aerial vehicle</subject><subject subjectScheme="Parameter">File name</subject><subject subjectScheme="Parameter">File format</subject><subject subjectScheme="Parameter">File size</subject><subject subjectScheme="Parameter">Uniform resource locator/link to file</subject><subject subjectScheme="Method">Multiple investigations</subject></subjects><resourceType resourceTypeGeneral="Dataset">Supplementary Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.5194/hess-23-1375-2019</relatedIdentifier></relatedIdentifiers><sizes><size>2680 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/4.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0">Creative Commons Attribution 4.0 International</rights></rightsList><descriptions><description descriptionType="Abstract">The data are raw data recorded during a drone flight. Yet, instead of flying the drone hovered over a predefined location (31.576516°, 35.415775°) recording the very same location for a period for 167 seconds at approximately 5Hz. Thus, the data consist of 670 single thermal infrared images recorded with a long-wave infrared camera core (FLIR Tau2), which is an uncooled VOx Microbolometer with a 19mm lens and a 640x512 focal plane array. The intention was to exploit spatiotemporal continuous thermal infrared data to outline and investigate submarine groundwater discharge and deduce possible discharge behavior. The here presented raw data are the basis for the study Mallast, U. and Siebert, C.: Combining continuous spatial and temporal scales for SGD investigations using UAV-based thermal infrared measurements, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-361, in review, 2018.</description><description descriptionType="Other">Supplement to: Mallast, Ulf; Siebert, Christian (2019): Combining continuous spatial and temporal scales for SGD investigations using UAV-based thermal infrared measurements. Hydrology and Earth System Sciences, 23(3), 1375-1392</description></descriptions><geoLocations><geoLocation><geoLocationPoint><pointLongitude>35.415775</pointLongitude><pointLatitude>31.576516</pointLatitude></geoLocationPoint></geoLocation></geoLocations></resource>