<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-29T07:36:26Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/120952" metadataPrefix="oai_dc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/120952</identifier><datestamp>2025-10-31T12:12:27Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_16</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Metadata for GPT Dataset</dc:title>
   <dc:creator>Santiago-Iglesias, Enrique</dc:creator>
   <dc:subject>Dataset</dc:subject>
   <dc:subject>Foot traffic</dc:subject>
   <dc:subject>Urban activity patterns</dc:subject>
   <dc:subject>Geografía humana</dc:subject>
   <dc:subject>Geografía económica</dc:subject>
   <dc:subject>5403 Geografía Humana</dc:subject>
   <dc:subject>5401 Geografía Económica</dc:subject>
   <dc:description>This dataset contains information on foot traffic at points of interest (POIs) over time, based on Google Popular Times estimates. It includes real-time occupancy levels, average hourly and daily visit patterns, user review counts, and average ratings. The data allows for the analysis of urban activity patterns across different locations and time periods.</dc:description>
   <dc:description>Metadata for the Google Popular Times dataset. Access to the data requires a formal request.</dc:description>
   <dc:description>Depto. de Geografía</dc:description>
   <dc:description>Fac. de Geografía e Historia</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2025-06-05T09:23:05Z</dc:date>
   <dc:date>2025-06-05T09:23:05Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>dataset</dc:type>
   <dc:type>AM</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/120952</dc:identifier>
   <dc:identifier>XXXX-XXXX</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116656RB-I00/ES/EVALUACION, ANALISIS Y PREDICCION DE LOS CAMBIOS EN LA MOVILIDAD URBANA TRAS LA PANDEMIA A PARTIR DE BIG DATA GEOLOCALIZADO/</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:format>text/xml</dc:format>
   <dc:publisher>Universidad Complutense de Madrid</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>