A Dataset for Investigating Socio-ecological Changes in Arctic Fjords v2

• Main Authors: Schlegel, Robert, Gattuso, Jean-Pierre
• Format: Dataset
• Language: English
• Published: PANGAEA 2024
• Subjects: Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); biology; chemical oceanography; Cryosphere; FACE-IT; File content; physical oceanography; Social-science; Arctic; Arctic biodiversity
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.967388; https://doi.org/10.1594/PANGAEA.967388

The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findable, Accessible, Interoperable, and Reusable) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. After receiving feedback on this process and the dataset itself, a second version (v2.0) has been created.