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

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.本数据集收录了一批地理定位照片（geolocated photos）及其关联元数据（metadata），采集自两个社交媒体平台：Flickr（共241,582张照片）与Twitter/X（共1,035,488张照片），采集时段为2015年至2022年。 上述元数据涵盖地理坐标、时间戳、匿名化用户标识，以及平台专属属性（例如标签、文本说明、图片URL，以及Twitter平台的转发与点赞数据）。 本数据集的采集范围覆盖西班牙与葡萄牙境内的八座山地国家公园，分别为：艾格斯托尔特斯（Aigüestortes）、瓜达拉马山（Sierra de Guadarrama）、奥尔塞萨（Ordesa）、佩内达-热尔（Peneda-Gerês）、欧洲峰（Picos de Europa）、内维斯山（Sierra de las Nieves）、内华达山（Sierra Nevada）与泰德峰（Teide）。 后续本数据集通过人工智能模型与专业人工标注人员完成了标注工作。 ### 表1 数据集目录 #### Flickr板块 - 文件类型：数据库元数据 - 文件名：`Flickr_database.csv` - 文件说明：该CSV文件包含从Flickr平台采集的241,582张地理定位照片的关联元数据。 #### Twitter/X板块 - 文件类型：数据库元数据 - 文件名：`Twitter_database.csv` - 文件说明：该CSV文件包含从Twitter/X平台采集的1,035,488张地理定位照片的关联元数据。 #### 照片下载脚本 ##### Flickr下载脚本 - 文件名：`Download_Flickr.py` - 文件说明：该Python脚本用于通过Flickr公开API下载地理定位照片。脚本采用1公里分辨率的网格划分方法，对下载流程进行空间结构化与优化，规避API调用频率限制与重复下载问题。 ##### Twitter/X下载脚本 - 文件名：`Download_Twitter.py` - 文件说明：该Python脚本用于通过Twitter/X平台API下载地理定位照片（当前API访问已受限）。脚本采用1公里分辨率的网格划分方法，对下载流程进行空间结构化与优化，规避API调用频率限制与重复下载问题。