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- zenodo.6323416 type Dataset assertion.
- zenodo.6323416 type Resource assertion.
- zenodo.6323416 type MediaObject assertion.
- zenodo.6323416 description "The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, we present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS). The AIS dataset comes along with spatially and temporally correlated data about the vessels and the area of interest, including weather information. It covers a time span of over 2.5 years, from May 9th, 2017 to December 26th, 2019 and provides anonymised vessel positions within the wider area of the port of Piraeus (Greece), one of the busiest ports in Europe and worldwide. The dataset consists of over 244 million AIS records, an average of more than 10,000 records per hour, which makes it an ideal input for large-scale mobility data processing and analytics purposes." assertion.
- zenodo.6323416 dateCreated "2023-03-18 15:53:28.368823+00:00" assertion.
- zenodo.6323416 name "The Piraeus AIS Dataset for Large-scale Maritime Data Analytics" assertion.
- zenodo.6323416 contentUrl "https://doi.org/10.5281/zenodo.6323416" assertion.
- zenodo.6323416 creator 0000-0002-1784-2920 assertion.
- zenodo.6323416 dateModified "2023-03-18 15:54:45.934342+00:00" assertion.
- zenodo.6323416 license no-permission assertion.
- zenodo.6323416 sdDatePublished "2023-03-18 15:53:28.368823+00:00" assertion.
- zenodo.6323416 author 0000-0002-1784-2920 assertion.