{"id":65,"date":"2025-11-12T13:30:21","date_gmt":"2025-11-12T13:30:21","guid":{"rendered":"https:\/\/spatialdatalab.stcenter.net\/?page_id=65"},"modified":"2025-11-26T19:29:43","modified_gmt":"2025-11-26T19:29:43","slug":"open-datasets","status":"publish","type":"page","link":"https:\/\/spatialdatalab.stcenter.net\/?page_id=65","title":{"rendered":"Open Datasets"},"content":{"rendered":"\n

The project team maintains the datasets on Harvard Dataverse monthly. Up to November 2023, global users from 150 countries have downloaded all shared datasets on Harvard Dataverse<\/a> more than 1,800,000 times. The team has crafted various tools rooted in workflows, enabling users to easily tap into external datasets hosted on platforms like Harvard Dataverse<\/a>, GitHub<\/a>, China Geo-Explorer database<\/a>, and KNIME Hub<\/a> . Notably, besides existing noes on US Census data<\/a> and Open Street Map<\/a> and Harvard Dataverse extension<\/a>.<\/p>\n\n\n\n

Featured COVID-19 Dataset<\/strong><\/p>\n\n\n\n

\"covid\"\/<\/figure>\n\n\n\n

This project on COVID-19 Dataset aims to provide an information infrastructure for the spatial study of the new novel coronavirus (COVID-19), which was first reported in Wuhan, China and then were found in more than 60 countries and regions in the world. The objectives of this project are:<\/p>\n\n\n\n