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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Social media data: Flickr and Twitter metadata for eight mountain parks in Spain and Portugal

Authors: Alcaraz-Segura, Domingo; del Águila, Ana; Elghouat, Akram; Khaldi, Rohaifa; Martínez-López, Javier; Molina Cabrera, Daniel; Navarro, Carlos Javier; +7 Authors

Social media data: Flickr and Twitter metadata for eight mountain parks in Spain and Portugal

Abstract

This dataset contains a collection of geolocated photos and their associated metadata, which were retrieved from two social media platforms: Flickr (241,582 photos) and Twitter/X (1,035,488 photos) downloaded for the period 2015 - 2022. The metadata includes information such as geographic coordinates, timestamps, anonymised user identifiers and platform-specific attributes (e.g. tags, text captions, image URLs and retweets/favourites for Twitter). The data were collected for eight mountain national parks located in Spain and Portugal: Aigüestortes, Sierra de Guadarrama, Ordesa, Peneda-Gerês, Picos de Europa, Sierra de las Nieves, Sierra Nevada and Teide. These databases were subsequently labeled using artificial intelligence models and expert human labelers. able 1. Table of contents of the dataset Folder format Description Flickr Database metadata Flickr_database .csv This CSV file contains metadata associated with 241,582 geolocated photos retrieved from the Flickr platform Twitter Database metadata Twitter_database .csv This CSV file contains metadata associated with 1,035,488 geolocated photos retrieved from the Twitter platform Scripts to download photos Flickr Download Flickr .py Python script used to download geolocated photos from the Flickr platform (publicly accessible via API). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies. Twitter Download Twitter .py Python script used to download geolocated photos from the Twitter/X platform (currently restricted). The script implements a grid-based approach (1 km resolution) to spatially structure and optimize the download process, avoiding API rate limits and redundancies.

EOSC Subjects

Twitter Data

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average