Arctic Data Center team members will be attending the American Geophysical Union (AGU) 2019 Fall Meeting in San Francisco, CA, December 9-13, 2019. Come visit us at Booth #1332 in the Moscone Center Exhibit Hall (see map below) throughout the week, and attend the Data Help Desk and Coding Desk (Booth #1329 just next to our booth)… Read more »
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Improving Information Retrieval: The Arctic Data Center Unveils New Semantic Search Product
Cross-posted from the ARCUS website Improving Search Across Concepts The Arctic Data Center is a repository for all National Science Foundation-funded Arctic research data. The wide range of Arctic research communities represented in the repository often leads to a lack of cohesion in semantics: how terminology is used and defined. To address this challenge, the… Read more »
Arctic Data Center’s Data Science Training – October 2019
In early October, the Arctic Data Center held its third Data Science Training program of 2019, hosting US-based Arctic researchers with research activities spanning pan-arctically across Alaska, Canada, and Siberia. Fifteen participants, across eleven institutions, and from a wide range of data privacy and open source experience levels, came together striving to support one another… Read more »
Data Questions? Data Help Desk has the Answers
Cross-posted from the ESA website ESA conference attendees brought many inquiries about data issues, needs, and planning strategies to the ESA/USSEE 2019 Data Help Desk. Representatives from seven data-intensive organizations (Table 1) shared their collective expertise and insights with more than 200 booth visitors. Collectively, we made an impressive presence of data organizations in the exhibition and… Read more »
Call for Abstracts: Third Polar Data Forum (PDF III)
The Third Polar Data Forum (PDF III) will be hosted by the Finnish Meteorological Institute at thair Dynamicum campus in Helsinki from November 18th to 22nd, 2019. PDF III will be a two day conference style meeting in support of information exchange, with the remainder of the week using a “hackathon” approach that will build on… Read more »
2019 Arctic Data Center Data Science Trainings
The Arctic Data Center is hosting a data science training funded by the National Science Foundation from October 7-11, 2019. This 5-day training provides Arctic researchers with an overview of best data management practices, data science tools, reproducible data analysis in R and Github, and concrete steps and methods for more easily documenting and uploading… Read more »
Learning from the Hunters in Savoonga, with Dr. Henry Huntington
Highlight: “The hunters have a lot of valuable information to share, but often this information is overlooked or regarded as too difficult and time consuming to document. We’re helping show that’s not the case, that there are proven methods for documenting Indigenous knowledge efficiently and sharing that information,” – Dr. Henry Huntington. This dataset is… Read more »
Discovering the Connections Between Mountain Glaciers and Arctic Groundwater, with Dr. Anna Liljedahl
Highlight: “I’d like to see data sharing and storage go beyond a static archive and develop into a knowledge-hub framework. A place where people can create knowledge through data analyses. A place where even Big Data, such as high resolution remote sensing imagery, can be analyzed with tailored software,” – Dr. Anna Liljedahl. Groundwater is… Read more »
Arctic Data Center at AGU 2018 (December 10-14, 2018)
Arctic Data Center team members will be attending the American Geophysical Union (AGU) 2018 Fall Meeting in Washington, D.C., December 10-14, 2018. Come visit us at Booth 510 in the Exhibit Hall throughout the week and attend our two discussions/trainings in the AGU Central Theater, Booth 1018 in the Exhibit Hall (descriptions below). Team members will… Read more »
Exploring the Energy, Clouds, Atmosphere and Precipitation in Summit, Greenland, through ICECAPS, with Dr. Matthew Shupe
Highlight: “ICECAPS data and analyses have developed process relationships that relate cloud variability to different terms of the surface energy budget as a function of time of year. These relationships are used to assess large-scale models and identify specific model deficiencies that must be addressed to accurately represent the energy partitioning at Greenland’s surface,” –… Read more »