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.

Data deliverables for stream surveys, 2013-2019

This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA" (Barnhart and others, 2022) The data sets within this release are stored in 14 files: (1) Streamflow observations and sites used. (2) Statistically estimated streamflow values computed for each site. (3) Streamflow statistics computed from observed and estimated streamflow values at each site, basin characteristics for each site, and hydrologic regions (clusters) for each site. (4) A dataset describing the optimal number of hydrologic regions into which the considered sites were grouped. (5) P-values from a multiple comparisons analysis testing for statistical differences between clusters for each basin characteristic and streamflow statistic. (6) A matrix of zeros and ones describing the performance of each hydrologic region assignment technique considered in the publication associated with this release. (7) A dataset of variable importance generated by random forest modeling-based hydrologic region assignment techniques evaluated. (8-14) Daily datasets of simulated SnowModel (Liston and Elder, 2006) runoff (snowmelt + rainfall), precipitation, glacial melt, snow water equivalent, snow covered area, liquid precipitation, and air temperature for Alaska, USA at a 1 km grid cell size.

This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA" (Barnhart and others, 2022) The data sets within this release are stored in 14 files: (1) Streamflow observations and sites used. (2) Statistically estimated streamflow values computed for each site. (3) Streamflow statistics computed from observed and estimated streamflow values at each site, basin characteristics for each site, and hydrologic regions (clusters) for each site. (4) A dataset describing the optimal number of hydrologic regions into which the considered sites were grouped. (5) P-values from a multiple comparisons analysis testing for statistical differences between clusters for each basin characteristic and streamflow statistic. (6) A matrix of zeros and ones describing the performance of each hydrologic region assignment technique considered in the publication associated with this release. (7) A dataset of variable importance generated by random forest modeling-based hydrologic region assignment techniques evaluated. (8-14) Daily datasets of simulated SnowModel (Liston and Elder, 2006) runoff (snowmelt + rainfall), precipitation, glacial melt, snow water equivalent, snow covered area, liquid precipitation, and air temperature for Alaska, USA at a 1 km grid cell size.

The National Park Service (NPS) Arctic Network (ARCN) Inventory and Monitoring (I&M) program monitors physical and natural resources in the National Park lands of Alaska including Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park and Noatak National Preserve. Lagoon Communities and Ecosystems is one of the systems chosen by ARCN for long term scientific monitoring in the Parks. I&M has committed to the highest ideals of data quality by monitoring natural systems in the same way, year after year according to published protocols with the goal of providing reliable scientific information to Park managers . The heart of the data management system for the Lagoon Communities and Ecosystems monitoring program is a Microsoft SQL Server relational database which allows Arctic Network to meet its paramount duty: assuring the security, accessibility and longevity of the monitoring data into the future. In May, 2025 Arctic Network anticipates reductions in the federal work force that threaten the continued support and maintenance of this database. Consequently, Arctic Network is immediately publishing a snapshot of the Lagoon Communities and Ecosystems monitoring database as an emergency step in assuring the data remain available to the public despite the uncertainty of I&M’s future. Data Quality The data records in this release are provided ‘as-is’. Inventory and Monitoring data typically goes through a value-adding life cycle where data are collected, processed for quality, validated and then certified for analytical use. Under ideal circumstances I&M policy is to only publish fully certified and documented datasets. Due to the urgency with which these data are being published the user should recognize that some or all of the records in this data release may not have been shepherded through all quality control steps, and may or may not contain accurate indicators of quality. Central Alaska Network is publishing data of unconstrained quality in the belief that it will serve the public interest more than withholding the data entirely. Some databases contain a CertificationLevel column for each record describing its quality. Table 2 lists the CertificationLevels and their definitions. The database tables described in this report may, or may not have the CertificationLevel column and may contain other metadata columns containing data quality ratings. In such cases look for documentation in each CSV data file’s accompanying metadata file. Table 2. Data quality indicator columns. CertificationLevel Description Raw Data as transcribed from field measurements, downloaded from logger files or otherwise received with no quality control processing applied. Provisional Data that have received quality control processing and been validated for provisional internal use, but have not yet been certified by the project leader. Certified Analytical quality. Methods Methods are described in the monitoring protocol: Jones T, Apsens S, Miller S, Robards M. 2018. Coastal lagoons vital signs monitoring protocol for the Arctic Network: Volume 1, report narrative, version 1.0. Natural Resource Report. NPS/ARCN/NRR—2018/1824. National Park Service. Fort Collins, Colorado https://irma.nps.gov/DataStore/Reference/Profile/2257596 and standard operating procedures: Jones T. 2017. Coastal Lagoon Vital Signs Monitoring Protocol for the Arctic Network: Standard Operating Procedures Version 1.0. National Park Service https://irma.nps.gov/DataStore/Reference/Profile/2310242

This dataset includes high resolution orthophotographs of 21 lakes in the region of Fairbanks, Alaska, USA. Aerial photographs were taken on October 8, 2014, three days after lake-ice formation. These photographs were used to identify open holes in lake ice that indicate the location of hotspot seeps associated with the releases of methane from thawing permafrost. Aerial photography can be used to measure changes in lake areas and to observe patterns in the formation of lake ice and other early winter lake conditions.

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 2010-2022. 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 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 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.