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Biogeochemistry data set for soil waters, streams, and lakes near Toolik Lake on the North Slope of Alaska, 2012 through 2020
Data file of the biogeochemistry of samples collected at various sites near Toolik Lake, North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, distance (downstream from a reference location), elevation, treatment, date-time, category, and water type (lake, surface, soil). Physical measures collected in the field include temperature (water, soil, well water), conductivity, pH, and average thaw depth in soil. Chemical analyses for the sample include alkalinity; dissolved inorganic and organic carbon (DIC and DOC); dissolved gases CO2 and CH4; inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP); particulate carbon, nitrogen, and phosphorus (PC, PN, and PP); cations (Ca, Mg, Na, K, and Si); and anions (SO4 and Cl).
Bacterial Production Data for lake and stream samples collected in summer 2012 through 2021, Arctic LTER, Toolik Lake Field Station, Alaska
File containing data on bacterial productivity in lakes and streams. Samples were collected at various sites near Toolik Lake Field Station (68 38'N, 149 36'W). Sample site descriptors include an assigned number (sortchem), site, date, time and depth, and bacterial production.
Meteorological data collected on Toolik Lake during the ice free season for 2014-2020, Arctic LTER, Toolik Research Station, Alaska
File describing the meteorological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind speed and direction, and radiation. Note: There are no discharge data for 2013 because of equipment malfunction.
Soil biogeochemical variables collected on the Arctic Long Term Ecological Research (ARC LTER) experimental plots in moist acidic and dry heath tundra, Arctic LTER, Toolik Field Station, Alaska 2017.
**Note: Versions 1 and 2 had the wrong data files.** Soil nutrients (total Carbon and Nitrogen, inorganic nutrients (ammonium ion (NH4), nitrate anion (NO3-), phosphate anion (PO43-)); organic nutrients (extractable organic carbon (EOC), extractable total nitrogen (ETN), extractable organic phosphorus (EOP)), microbial biomass, and extracellular enzyme activity on soils sampled from the Arctic LTER Dry Heath (organic soils only) and Moist Acidic Tundra (organic and mineral soils) herbivore exclosures and control plots at Toolik Lake, AK in July 2017.
Vegetation species abundance via point frame from Arctic LTER dry heath tundra, Toolik Field Station, Alaska, 2017
Vegetation (species) abundances were measured from LTER heath tundra herbivore exclosures using the point frame method. This file contains the number of pin hits per species for each subplot.
Above ground plant, belowground stem and root biomass in Arctic Long-term Ecological Research's 2006 moist acidic tussock tundra experimental sites, 2012, Toolik Lake, Alaska.
Above ground plant, belowground stem and root biomass was measured in moist acidic tussock tundra experimental sites established in 2006 by the Arctic Long-term Ecological Research site (ARC-LTER. Control plots and plots amended with three different levels of nitrogen(N) and phosphorus(P), F10 (10 g/m2 N and 5 g/m2 P); F5 (5 g/m2 N and 2.5 g/m2 P); F2 (2 g/m2 N and 1 g/m2 P), were sampled.
Chlorophyll A, and primary productivity of Toolik lake , Arctic LTER 1975 to 1988, Toolik Field Station, Alaska.
Chlorophyll A, and primary productivity of Toolik lake 1975 - 1988. Water samples were taken weekly from Toolik lake. The sampling depths for the Control side were 0, 1, 3, 5, and 6 meters and the Treatment side were 0, 1, 3, 5, and 7 meters.
Groundwater levels and temperature in coastal tundra adjacent to Simpson Lagoon, Alaska, 2022
The coastal tundra adjacent to Simpson Lagoon, along Alaska's Beaufort Sea coast, was visited in July and September/October 2022 to assess coastal groundwater dynamics along the lagoon. Groundwater levels were monitored in five piezometers aligned in a transect oriented perpendicular to Simpson Lagoon, as well as surface water levels in the lagoon. Loggers were deployed on July 22, 2022, and collected on September 29, 2022. Data include surface water and groundwater elevation data from July 22, 2022, to September 29, 2022, with the elevation relative to a local datum. All levels have been corrected for barometric pressure (see methods). Also included is groundwater temperature data from the well closest to the lagoon (Well 5).
Composition and biodegradability of dissolved organic matter leached from eroding coastal soils and permafrost in seawater, from Drew Point, Alaska
Eroding permafrost coastlines export significant quantities of organic carbon (OC) to the marine environment, similar in magnitude to riverine particulate OC fluxes to the Arctic Ocean. Moreover, erosion rates are predicted to increase due to warming temperatures, declines in sea ice, and increasing waves. While erosion primarily mobilizes organic matter in the particulate form, this material can be leached to dissolved organic matter (DOM). This DOM may be incorporated by microbial communities and fuel marine food webs or decomposed to form greenhouse gases like carbon dioxide and methane. Many studies show that permafrost-derived organic matter can be rapidly decomposed in soils and freshwater, but few studies examine the fate of permafrost organic matter in seawater. To address this knowledge gap, we designed a laboratory experiment to leach coastal soils and permafrost in seawater and examine the composition and biodegradability of leached DOM. Coastal soil/sediment was cored near Drew Point, Alaska in 2019, representing three horizons found within rapidly eroding permafrost bluffs: seasonally thawed active layer soils, Holocene terrestrial soils and/or lacustrine sediments, and late-Pleistocene relict marine sediments. To measure dissolved organic carbon (DOC) leaching yields, we placed soil/sediments in Beaufort Sea seawater for 24 hours before filtering to remove particulates. To measure biodegradable dissolved organic carbon (BDOC), we conducted an aerobic incubation experiment following the methods suggested by Vonk et al. (2015). Briefly, leachates were incubated at approximately room temperature for 26 and 90 days to measure DOC loss due to remineralization and/or incorporation into microbial biomass. Additionally, we used chromophoric dissolved organic matter (CDOM) measurements and ultra-high resolution mass spectrometry (FT-ICR MS) to examine the initial leachate DOM composition. References: Vonk, J. E., Tank, S. E., Mann, P. J., Spencer, R. G. M., Tre
Metabolism and water chemistry of tundra ponds near Utqiagvik, Alaska, 2019–2024
Low centered polygon ponds and thermokarst trough ponds were sampled near Utqiagvik, AK in late summer from 2009-2024 to understand how pond types differ in chemistry and C flux. Water samples from open water were characterized for nutrients concentration and algal biomass. Carbon and oxygen concentrations were monitored continuously using sensors.
Model simulated hydrological estimates for the North Slope drainage basin, Alaska, 1980-2010
Estimates of runoff, river discharge, snow water equivalent (SWE), subsurface runoff, and soil temperatures are drawn from the Permafrost Water Balance Model (PWBM). The simulation and derived data span the period 1980-2010. The model was forced with daily gridded meteorological data obtained from the Modern-Era Retrospective analysis for Research and Applications (MERRA) reanalysis (version 5.2.0). The estimates of total runoff (daily), soil temperature (daily), subsurface runoff (monthly), and SWE (monthly) are expressed on a spatial grid (N=312; 25x25 km EASE-Grid version 1, Northern Hemisphere) over the North Slope drainage basin, with the coastline extending from Utqiagvik (formerly Barrow) to just west of the Mackenzie River delta. River discharge, calculated as a volume flux of runoff at each grid cell, was routed through the river network defined on a simulated topological network (STN). Archived files contain discharge flux through the grid cell representing the outlet of each of forty-two basins defined across the region on the 25 km resolution EASE-Grid. Details of the PWBM, forcing variables, model validation and results of analysis are described in Rawlins et al. (2019).
Seasonal Ice Mass-balance Buoy (SIMB) measurements from sites along the Beaufort Sea Coast, Alaska, 2018-ongoing
Measurements of the thickness of sea ice and the depth of its snow cover allow us to calculate how their mass changes in response to the varying fluxes of heat between the ocean and atmosphere over the course of a season. Repeated drill measurements are not ideal for this purpose since each drill hole disturbs the ice and its insulating snow cover. Also, spatial variability in ice thickness can mask temporal changes if holes are not drilled in the same place each time. Hence, methods that do not require re-drilling are preferred. Automated systems such as the Seasonal Ice Mass-balance Buoy (SIMB; Planck et al, 2019) provide high temporal resolution for capturing sub-daily variations and typically include sensor strings to measure the vertical temperature profile from the air to the ocean, which can be used to infer other properties of the ice cover such as strength and porosity. Under the Beaufort Lagoon Ecosystems LTER (BLE LTER) research program, several SIMBs are deployed at sites along the Beaufort Sea coast and record a suite of parameters including but not limited to snow depth, ice thickness, position of ice surface and bottom, water/air temperature, and vertical profiles of temperature. Planck, C. J., J. Whitlock, C. Polashenski, and D. Perovich (2019), The evolution of the seasonal ice mass balance buoy, Cold Regions Science and Technology, 165, 102792, doi: https://doi.org/10.1016/j.coldregions.2019.102792.
Time series of water column pH from lagoon sites along the Alaska Beaufort Sea coast, 2018-ongoing
Beginning in August 2018, the Beaufort Lagoon Ecosystems Long Term Ecological Research (BLE LTER) program will record water column pH time series (hourly) from a benthic mooring containing a Seabird SeaFET V2 buoyed 10 cm from the lagoon seafloor. pH values are logged from the instrument’s internal sensor and reported on the total hydrogen ion scale. Site bottom water is collected and analyzed in the laboratory to employ a single point calibration to the data during post-processing. Another discrete water sample is collected months after instrument deployment to determine uncertainty (2018-2019 season: 0.002).
Bonanza Creek LTER: Yearly Seedfall Summary from 1957 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
The Yearly Seedfall Summary dataset includes seed counts and germination rates of Picea glauca, Picea mariana, Betula neoalaskana (papyrifera), Picea mariana, Larix larciana, Alnus crispa, and Alnus tenuifolia. Seeds are collected in .25m^2 trays located on the forest floor of the a selected set of LTER successional sites. Germination takes plaace in the BECRU lab facility at UAF.
Bonanza Creek LTER: Hourly Snow Pillow Measurements from 2007 to Present in the Caribou-Poker Creeks Research Watershed near Fairbanks, Alaska
The snow pillow records the hourly water content of the snowpack (snow water equivalent) at the CARSNOW site within the Caribou Poker Creeks Research Watershed during the winter months. It consists of two 1m square aluminium "pillows" filled with a propylene glycol/water solution attached via piping to a druck pressure transducer. The pressure on the pillow is converted to cm of water. A manometer tube is also attached for manaul readings and calibration.
Bonanza Creek LTER: Shrub, Seedling and Sapling Density from 1975 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
This study is a survey of the density of tall shrubs, saplings, and seedlings at Bonanza Creek LTER Control Plots. Densities have been measured at some sites since 1975 while others began in the mid 1980's. In 2006 methodology was changed in attempt to better capture the spatial variability of shrub and tree species within the research sites. The current method, presented here, uses a 2 meter wide transect along two site boundaries covering 220m2. All seedlings, saplings, and tall shrubs >1m (regardless of species) are counted by species and size class along the transect. The previous method used 4m2 circular plots at 20 points on a 10mx10m grid within the control plot for an area of 80m2. The circular method measured all seedlings, saplings, and a certain set of "tall shrubs", regardless of height. The height requirement creates an issue when comparing the old and new methods for early successional stands. For Alnus and Salix this is likely only a problem in the FP0 sites as they are the only sites with a high density of shrubs shorter than 1m. Shrub community changes at these early successional sites should be analyzed using percent cover data. At the later successional sites most Alnus and Salix shrubs are greater than 1m so the transect method likely does not underrepresent density. The metadata and raw data from the circular method can be found in <a href="http://www.lter.uaf.edu/data/data-detail/id/175"> Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Count (1975 - 2004) </a>.
Bonanza Creek LTER: Point Bar Vegetation Survey of Bonanza Creek LTER Research Plots (2007-Present)
Beginning in 2007 ocular vegetation estimates were replaced by the point bar system. The point bar is meant to be a more objective way of carrying out annual vegetation surveys. In particular because you are placing the point bar in the same location every time a site is visited, a better understanding of vegetation change over time is possible. This method replaces the old system of estimating percent cover visually (<a href="https://www.lter.uaf.edu/data/data-detail/id/174"> Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Percent Cover (1975 - 2009) </a>), which is often subject to personal bias and small shifts in species composition are often overlooked. Data from both methods were collected during the 2007, 2008, and 2009 field seasons, and regression analysis shows unique and statistically significant relationships between the two methods depending on growth form. At each site, growth forms were evaluated separately, and at each site there is a specific regression model for each growth form. In this way a user can correlate the two methods and data collected before 2007 can be compared to data collected after the new protocol was established.
Litterfall and Hare Pellet Summary at Bonanza Creek LTER Control Plots (1985 - Present)
Litterfall weights and Hare Pellet counts at LTER Control Plots within the Bonanza Creek Experimental Forest and the Caribou Poker Creek Research Watershed.
Winterberry: Fruit retention in fall and winter in 2016-2019 for four shrub species across Alaska
This dataset contains observations of fruit retention and state for Rosa acicularis (prickly rose), Empetrum nigrum (crowberry or blackberry), Vaccinium vitis-idaea (lowbush cranberry or lingonberry) and Viburnum edule (highbush cranberry). Data were collected at 47 sites in 25 communities in 6 ecoregions across Alaska, primarily by youth groups. Ecoregions include Bering taiga, Bering tundra, intermontane boreal, Alaska range transition, Aleutian meadows, and coastal rainforest. Observations were made approximately weekly during snow-free periods in fall and (at some sites) spring. At most sites only one species was monitored but some sites include observations on two species. Data consist of counts of unripe, ripe, rotten, dry, and damaged fruits. The dataset consists of one spreadsheet for each species and a file describing the location and habitat of each site.
Mycorrhizal fungal communities identified from seedlings planted in the Taylor, Dalton, and Boundary fire complexes which burned in 2004
This dataset contains the operational taxonomic unit table and taxonomic assignments for fungi that were associated with the roots of seedlings planted into the 2004 burn sites. There were 458 seedlings from 22 of the 32 established intensive sites (Johnstone and Hollingsworth 2019) consistenting of black spruce, white spruce, aspen, and lodgepole pine.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.