Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code

Freitas, Nancy L; Walter Anthony, Katey M; Lenz, Josefine; Porras, Rachel C; Torn, Margaret S

doi:10.15485/2336866

Title: Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code

Dataset
Other Related Research

Abstract

This data package contains data, descriptions, and code-based analyses that were used to support conclusions drawn in “Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment”, by Freitas et al. (2025) (https://doi.org/10.1038/s41561-024-01614-y). The study evaluated greenhouse gas production along a deep sediment core (20 m) taken in 2018 from below Goldstream Lake, a field site approximately 15 km north of Fairbanks, Alaska.The file “ESSDive_NFreitas_2024_flmd.csv” includes an overview of all other csv files in this data package, namely: sediment descriptions (depth and type of sediment), sediment characterizations (bulk density, gravimetric water content, total carbon, etc.), calculated respiration and temperature sensitivity values associated with year-long incubations of the sediment core, and the R code used to process the dataset. Additional details regarding the content of these files and how the calculations were performed are described in the Methods section of this archive. The “data_dictionary_ESSDive_NFreitas_2024_dd.csv” is a data dictionary for all files included in the data package. Each row in the data dictionary represents a column name in a given file. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks tomore »« less

Authors:

;

Energy and Resources Group, UC Berkeley; Energy and Resources Group, UC Berkeley
Water and Environmental Research Center, University of Alaska Fairbanks
Helmholtz Centre for Polar and Marine Research, Permafrost Research Section, Potsdam
Climate and Ecosystem Sciences Division, Lawrence Berkeley National Lab

Publication Date:: Mon Jan 01 04:00:00 UTC 2024

Other Number(s):: NGA528

DOE Contract Number:: AC05-00OR22725

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Next-Generation Ecosystem Experiments (NGEE) Arctic

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > BIOGEOCHEMICAL CYCLES; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > RESPIRATION RATE; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > FRESHWATER ECOSYSTEMS > LAKE/POND; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > ALPINE/TUNDRA; EARTH SCIENCE > CLIMATE INDICATORS > CLIMATE FEEDBACKS; EARTH SCIENCE > LAND SURFACE > FROZEN GROUND; EARTH SCIENCE > LAND SURFACE > FROZEN GROUND > PERMAFROST; EARTH SCIENCE > LAND SURFACE > SOILS; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format

OSTI Identifier:: 2336866

DOI:: https://doi.org/10.15485/2336866

Citation Formats


                    Freitas, Nancy L, Walter Anthony, Katey M, Lenz, Josefine, Porras, Rachel C, and Torn, Margaret S. Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code.  United States: N. p., 2024. 
        Web.  doi:10.15485/2336866.

Copy to clipboard


                    Freitas, Nancy L, Walter Anthony, Katey M, Lenz, Josefine, Porras, Rachel C, & Torn, Margaret S. Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code.  United States.  doi:https://doi.org/10.15485/2336866

Copy to clipboard


                    Freitas, Nancy L, Walter Anthony, Katey M, Lenz, Josefine, Porras, Rachel C, and Torn, Margaret S. 2024.  
"Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code".  United States.  doi:https://doi.org/10.15485/2336866.  https://www.osti.gov/servlets/purl/2336866. Pub date:Mon Jan 01 04:00:00 UTC 2024

Copy to clipboard


                    
@article{osti_2336866,

  title        = {Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment - supporting data and code},

  author       = {Freitas, Nancy L and Walter Anthony, Katey M and Lenz, Josefine and Porras, Rachel C and Torn, Margaret S},

  abstractNote = {This data package contains data, descriptions, and code-based analyses that were used to support conclusions drawn in “Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment”, by Freitas et al. (2025) (https://doi.org/10.1038/s41561-024-01614-y). The study evaluated greenhouse gas production along a deep sediment core (20 m) taken in 2018 from below Goldstream Lake, a field site approximately 15 km north of Fairbanks, Alaska.The file “ESSDive_NFreitas_2024_flmd.csv” includes an overview of all other csv files in this data package, namely: sediment descriptions (depth and type of sediment), sediment characterizations (bulk density, gravimetric water content, total carbon, etc.), calculated respiration and temperature sensitivity values associated with year-long incubations of the sediment core, and the R code used to process the dataset. Additional details regarding the content of these files and how the calculations were performed are described in the Methods section of this archive. The “data_dictionary_ESSDive_NFreitas_2024_dd.csv” is a data dictionary for all files included in the data package. Each row in the data dictionary represents a column name in a given file. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).Data package updates- August 2024: Title was updated, R code now includes a process for calculating potential production across the whole sediment column, the "sediment_column_production_potentials_ESSDive_NFreitas_2024.csv" is the associated data output file, and the file level metadata and data dictionaries were updated to reflect the contents of the additional csv file.- October 2024: Title was updated, and a statement was added to Step 2 of the Methods that describes that samples were collected (and exported) in a responsible manner and in accordance with relevant permits and local laws.- January 2025: Updated the associated manuscript details in the Abstract (manuscript title, publication date, DOI link) and in the Related References section (full citation).},

  doi          = {10.15485/2336866},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 04:00:00 UTC 2024},

  month        = {Mon Jan 01 04:00:00 UTC 2024}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/2336866

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Substantial and overlooked greenhouse gas emissions from deep Arctic lake sediment

Journal Article Freitas, Nancy L. ; Anthony, Katey Walter ; Lenz, Josefine ; ... - Nature Geoscience

Thermokarst lakes cause abrupt and sustained permafrost degradation and have the potential to release large quantities of ancient carbon to the atmosphere. Despite concerns about how lakes will affect the permafrost carbon feedback, the magnitude of carbon dioxide and methane emissions from deep permafrost soils remains poorly understood. Here we incubated a very deep sediment core (20 m) to constrain the potential productivity of thawed Yedoma and underlying Quaternary sand and gravel deposits. Through radiocarbon dating, sediment incubations and sediment facies classifications, we show that extensive permafrost thaw can occur beneath lakes on timescales of decades to centuries. Although itmore »« less
Greenhouse Gas emissions from California Geothermal Power Plants

Dataset Sullivan, John

The information given in this file represents GHG emissions and corresponding emission rates for California flash and dry steam geothermal power plants. This stage of the life cycle is the fuel use component of the fuel cycle and arises during plant operation. Despite that no fossil fuels are being consumed during operation of these plants, GHG emissions nevertheless arise from GHGs present in the geofluids and dry steam that get released to the atmosphere upon passing through the system. Data for the years of 2008 to 2012 are analyzed.
Inventory of U.S. Greenhouse Gas Emissions and Sinks

Dataset Hockstad, L. ; Hanel, L.

Central to any study of climate change is the development of an emissions inventory that identifies and quantifies a country's primary anthropogenic sources and sinks of greenhouse gases. This inventory adheres to both 1.) a comprehensive and detailed methodology for estimating sources and sinks of anthropogenic greenhouse gases, and 2.) a common and consistent mechanism that enables Parties to the United Nations Framework Convention on Climate Change (UNFCCC) to compare the relative contribution of different emission sources and greenhouse gases to climate change.This chapter summarizes the latest information on U.S. anthropogenic greenhouse gas emission trends. To ensure that the U.S.more »« less
The LAKE model input dataset for three Arctic lakes

Dataset JAFAROV, ELCHIN ; Clark, Jason ; Piliouras, Anastasia ; ...

This dataset contains meteorological data collected for three Arctic lakes and compiled to satisfy input requirements of the LAKE 2.0 model. The dataset was generated to act as a benchmarking dataset for future model-data inter-comparisons. The LAKE 2.0 model simulates temperatures within the water later and the sedimentary layer of a lake. The LAKE2.0. is an open-source code and available to download via this weblike http://tesla.parallel.ru/Viktor/LAKE/-/wikis/LAKE-model (last visit July 14, 2021). The meteorological data are required to simulate the surface energy balance at the surface of a lake. This dataset includes a compilation of the meteorological data pulled from multiplemore »« less
Large emissions of CO2 and CH4 due to active-layer warming in Arctic tundra: Supporting Data

Dataset Abramoff, Rose Z ; Torn, Margaret S ; Vaughn, Lydia JS ; ...

Climate warming may accelerate decomposition of Arctic soil carbon, but few controlled experiments have manipulated the entire active layer. To determine surface-atmosphere fluxes of carbon dioxide and methane under anticipated end-of-century warming, we used heating rods to warm soil (by 3.8 °C) to the depth of permafrost in polygonal tundra over two growing seasons at the Barrow Environmental Observatory in Utqiaġvik (formerly Barrow), Alaska. This data product includes supporting data for the companion paper entitled "Large emissions of CO2 and CH4 due to active-layer warming in Arctic tundra", published in Nature Communications by Torn et al. This data package containsmore »« less

Similar Records