This data package includes 17,014 pairs of raster geotiffs. Each pair is made up of two geotiff rasters derived from historical observations from Landsat satellites (04-09) over the Yukon, Kuskokwim, and Tanana rivers in Alaska. One raster reports estimated mid-day water surface temperature (ST) in degrees Celsius (deg_Cc). The second raster reports the surface temperature quality assessment (sST_QA_c) and provides the ST product uncertainty (also in degrees). The period of observation is May through October for the years 1984-2022.

This data package includes 17,014 pairs of raster geotiffs. Each pair is made up of two geotiff rasters derived from historical observations from Landsat satellites (04-09) over the Yukon, Kuskokwim, and Tanana rivers in Alaska. One raster reports estimated mid-day water surface temperature (ST) in degrees Celsius (deg_Cc). The second raster reports the surface temperature quality assessment (sST_QA_c) and provides the ST product uncertainty (also in degrees). The period of observation is May through October for the years 1984-2022.

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.

This dataset provides dissolved carbon dioxide (CO2) and methane (CH4) concentrations alongside their stable and radiocarbon isotopic compositions within the Arctic Sagavanirktok and Kuparuk River watersheds located on the North Slope of Alaska. The data were collected during the spring, fall, and summer seasons in 2022. In field separation of the bulk gaseous components (N2, CO2, and CH4) from the liquid phase was achieved using a degassing membrane contactor. Laboratory isotopic analyses were conducted at the W. M. Keck Carbon Cycle Accelerator Mass Spectrometer facility at UC Irvine. This collection aims to provide insights into the seasonal dynamics of greenhouse gas emissions in these critical Arctic environments, thereby contributing valuable information for climate change research and monitoring programs. The data are provided in comma separated values (CSV) format.

Glaciers are critical sources of water and solutes to downstream riverine and marine ecosystems. Samples were collected from surface streams, groundwater, rain, snow, and ice in the Wolverine Glacier basin and analyzed for a broad suite of geochemical constituents including common field parameters, major ions, stable isotopes of water, nutrients, metals, and dissolved organic carbon.

Glaciers are critical sources of water and solutes to downstream riverine and marine ecosystems. Samples were collected from surface streams, groundwater, rain, snow, and ice in the Wolverine Glacier basin and analyzed for a broad suite of geochemical constituents including common field parameters, major ions, stable isotopes of water, nutrients, metals, and dissolved organic carbon.

This dataset provides dissolved carbon dioxide (CO2) and methane (CH4) concentrations alongside their stable and radiocarbon isotopic compositions within the Arctic Sagavanirktok and Kuparuk River watersheds located on the North Slope of Alaska. The data were collected during the spring, fall, and summer seasons in 2022. In field separation of the bulk gaseous components (N2, CO2, and CH4) from the liquid phase was achieved using a degassing membrane contactor. Laboratory isotopic analyses were conducted at the W. M. Keck Carbon Cycle Accelerator Mass Spectrometer facility at UC Irvine. This collection aims to provide insights into the seasonal dynamics of greenhouse gas emissions in these critical Arctic environments, thereby contributing valuable information for climate change research and monitoring programs. The data are provided in comma separated values (CSV) format.

These data comprise 505 unique geospatial raster datasets which describe persistent river ice (aufeis) occurrence within floodplains of select rivers and creeks in the 1002 Area of the Arctic National Wildlife Refuge in northern Alaska. Each raster is derived from a historical observation made by one of five Landsat satellites. Surface reflectance in the green and shortwave infrared wavelengths are used to classify the aufeis occurrence within individual pixels. Pixel values of "1" correspond to aufeis presence while "0" corresponds to its absence. Rasters are generated from cloud and snow-filtered images captured between May and September for the years 1985-2022.

These data comprise 505 unique geospatial raster datasets which describe persistent river ice (aufeis) occurrence within floodplains of select rivers and creeks in the 1002 Area of the Arctic National Wildlife Refuge in northern Alaska. Each raster is derived from a historical observation made by one of five Landsat satellites. Surface reflectance in the green and shortwave infrared wavelengths are used to classify the aufeis occurrence within individual pixels. Pixel values of "1" correspond to aufeis presence while "0" corresponds to its absence. Rasters are generated from cloud and snow-filtered images captured between May and September for the years 1985-2022.

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.