These data include stream water chemistry from headwater streams to large rivers across three national parks in Arctic Alaska: Bering Land Bridge National Preserve, Kobuk Valley National Park, and Noatak National Preserve.

Various intermediate data summary products derived from Landsat data, used to produce the report “Monitoring of Water Surface Area in Alaska’s Arctic National Parks: Update with 2019 Data.” Natural Resource Data Series NPS/ARCN/NRDS—2020/1263. Fort Collins, Colorado: National Park Service. https://irma.nps.gov/DataStore/Reference/Profile/2272062 See that report for an explanation of the methods used.

This data release includes remotely sensed lake and lake chemistry and water temperature data collected from 2011 to 2014) from a series of lakes on the Arctic Coastal Plain of Alaska. Most of the data is from two sites within the Chipp River Basin.

These data include water chemistry from headwater streams to large rivers that have recently turned orange and reference rivers that have not. These samples were collected in two national parks in Arctic Alaska: Kobuk Valley National Park, and Noatak National Preserve.

This data set is a comma-separated values (CSV) file containing continuous hourly water quality observations of the Indian River in Sitka National Historical Park for monitoring years 2010-2022. The core parameters collected are water temperature, dissolved oxygen, pH, and conductivity, obtained from multiparameter sondes during the ice-free season. Using the Aquarius Time-Series application, data have been quality controlled, graded against formal criteria specified in the protocol (SOP 7, Data Evaluation and Grading in Aquarius), drift corrected where appropriate, and certified for publication. The data set (CSV) and associated metadata are zipped into a site-specific archive (ZIP file), identified as the FQ_Q deliverable in the water quality protocol.

This data set is a comma-separated values (CSV) file containing continuous hourly water quality observations of the Salmon River in Glacier Bay National Park and Preserve for monitoring years 2010-2024. The core parameters collected are water temperature, dissolved oxygen, pH, and conductivity, obtained from multiparameter sondes during the ice-free season. Using the Aquarius Time-Series application, data have been quality controlled, graded against formal criteria specified in the protocol (SOP 7, Data Evaluation and Grading in Aquarius), drift corrected where appropriate, and certified for publication. The data set (CSV) and associated metadata are zipped into a site-specific archive (ZIP file), identified as the FQ_Q deliverable in the water quality protocol.

This data set includes 15-minute interval data on stream temperature, stage, and discharge from an upstream and downstream gaging location on West Twin Creek, a first-order tributary to Nome Creek in the White Mountains of Alaska.

The chemical composition of lakes is an important ecosystem property that can have considerable influence on aquatic ecosystem structure and function. Since lake chemistry is sensitive to climate and disturbance, lakes may serve as a sentinel of current and projected [SDM1] climate change through long-term monitoring. Here, we report findings from a two-year pilot study aimed at characterizing the chemical composition of large lakes in National Park Service lands of the Arctic Inventory and Monitoring Network (ARCN). We collected water samples from 20 large lakes in Bering Land Bridge National Preserve (BELA), Gates of the Arctic National Park (GAAR), and Noatak National Preserve (NOAT) during the 2013 and 2014 field seasons (between June and September). Water samples were analyzed for dissolved organic matter (DOM) composition, nutrient concentrations, major cations and anions, and water stable isotopes. We also collected field measurements of lake surface temperature and temperature profiles, specific conductivity, and pH. We observed considerable variation in the chemical composition of large lakes with ARCN parks. For instance, DOC concentrations ranged from 1 to 12 mgC L-1 across all lakes, and DOM aromaticity was highly variable, as indicated by measurements of specific ultraviolet absorbance (SUVA254). Nutrient concentrations (nitrogen and phosphorus species) were generally low, indicating oligotrophic conditions and likely strong nutrient-limitation of primary production. Cation and anion concentrations varied across lakes, reflecting spatial variations in lithology. Overall, large lakes appear to be unimpaired with respect to a broad suite of water quality parameters. However, Arctic lakes are likely vulnerable to climate-driven changes hydrology and landscape disturbance (e.g. wildfire and permafrost thaw). Future monitoring of large lakes ARCN should be designed to detect chemical and hydrologic properties across space and time, both as a means of assessing these vulnerabilities and for improving watershed management activities.