Find research datasets worth reusing

opencc-by-4.0Sep 2024View details →

TSSCXG-17: Global Gridded Dataset of Surface Ocean pCO2 and Air-Sea CO2 Flux (1993-2020)

This dataset presents a global gridded reconstruction of the partial pressure of CO2 (pCO2) in the surface ocean and the corresponding air-sea CO2 flux, covering the period from 1993 to 2020. Developed to enhance understanding of climate change and the global carbon cycle, this dataset addresses gaps in oceanic carbon flux data through innovative machine learning techniques. The reconstruction process integrates in situ observations, satellite data, and reanalysis products, employing a three-step algorithm involving dimensionality reduction, clustering, and regression.

opencc-by-4.0Oct 2024View details →

Soil and understory CO2 respiration, CH4, and N2O fluxes, tree biomass and litter, and soil carbon stock after a long-term N fertilization of a Scots pine forest in Finland

Data of forest soil respiration, soil and undestory respiration, CH4, and N2O fluxes, soil temperature and volumetric water content (Data_Karstula_GHG_temp.swc.csv), continuous soil temperature and moisture data (Data_Karstula_measured_temperature_2021_2023.csv, Data_Karstula_measured_moisture_2021_2023.csv), forest biomass and litter (Data_Karstula_total_biomass_litter.csv, Data_Karstula_measured_litter_2021_2023.csv), and soil C stocks (Data_Karstula_soc.csv) from the boreal Scots pine forest site Karstula after a long-term N fertilization in Finland (62°54'43.343"N; 24°34'16.021"E). The dataset is used for the publication "Tupek et al. : Lower sensitivity of microbial respiration to soil moisture after long-term N fertilization increases soil carbon retention in a Scots pine forest. 2024".

opencc-by-4.0Oct 2024View details →

West Antarctic Peninsula (WAP) MITgcm-REcoMv2 outputs for 1991 (T, S, DIC, TA, DIN, Chl, air-sea CO2 flux)

This dataset contains the netCDF files for the year 1991 of dissolved inorganic nitrogen (DIN), dissolved inorganic carbo (DIC), total alkalinity (TA), diatom chlorophyll concentration (DiaPhyto), small phytoplankton chlorophyll (SmPhyto), air-sea CO2 fluxes (CO2flx), ocean temperature (Temp) and salinity (Salt) for the MITgcm-REcoMv2 ocean circulation and biogeochemistry model implemented for the West Antarctic Peninsula. Latitude and longitude for all variables are contained in the grid.glob.nc file. Files names start with the variable name, followed by the month and year. They are saved either as monthly means, as 10 day means, or 5 day means. The units for each variable are as follows: DIN: mmol/m3 DIC: mmol/m3 TA: mmol/m3 DiaPhyto: mg/m3 SmPhyto: mg/m3 CO2flx: mmol/s Temp: ˚C Results from this simulation are published in: SCHULTZ, C., DONEY, S.C., ZHANG, W.G., REGAN, H.C., HOLLAND, P., MEREDITH, M., STAMMERJOHN, S. Modeling of the Influence of Sea Ice Cycle and Langmuir Circulation on the Upper Ocean Mixed Layer Depth and Freshwater distribution at the West Antarctic Peninsula. Journal of Geophysics Research Oceans, 125, 8, 2020. doi:10.1029/2020JC016109 SCHULTZ, C., DONEY, S.C., HAUCK, J., KAVANAUGH, M.T., SCHOFIELD, O. Modeling Phytoplankton Blooms and Inorganic Carbon Responses to Sea-Ice Variability in the West Antarctic Peninsula. Journal of Geophysical Research Biogeosciences, 126, 4, 2021. doi: 10.1029/2020JG006227

opencc-by-4.0Aug 2021View details →

Synthetic large ensembles from four observation-based products of sea-air CO2 flux from Olivarez et al. (2021)

Synthetic large ensembles from four observation-based products of sea-air CO2 flux from Olivarez et al. (2021). Observation-based products are: Council for Scientific and Industrial Research-Machine Learning (CSIR-ML6) Max Planck Institute Self-Organizing Map-Feed-Forward Neural Network (MPI-SOMFFN) Jena, Germany-Max Planck Institute for Biogeochemistry-Mixed Layer Scheme (JENA-MLS) Copernicus Marine Environment Monitoring Service Feed-Forward Neural Network (CMEMS-FFNN)

opencc-by-4.0Oct 2021View details →

Incubation data, CO2 and CH4 flux data and soil properties of thaw slump soils on Kurungnakh, Lena Delta in July 2016 and July 2019

CO2 and CH4 rates from incubations and potential fluxes: This dataset contains rates of CO2 and CH4 production and the potential CO2 and CH4 emission rates calculated from these incubation fluxes in situ CO2 and CH4 chamber fluxes: This dataset contains CO2 and CH4 fluxes measured with closed chambers from different sites on Kurungnakh in July 2016 and July 2019 simulated soil temperature and modelled CO2 fluxes: This dataset contains daily mean soil temperature data simulated with JSBACH for 2016 and the annual CO2 fluxes simulated with a Q10 model and the Introductory Carbon Balance Model (ICBM) thaw depth, TOC in active layer, soil temperature 2016: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2016 thaw depth, TOC in active layer, soil temperature 2019: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2019

opencc-by-4.0Mar 2023View details →

Air-Sea fluxes of CO2 in the Indian Ocean between 1985 and 2018: A synthesis based on Observation-based surface CO2, hindcast and atmospheric inversion models.

This data set contains 14 hindcast models (CCSM-WHOI.nc, CESC_ETHZ.nc, CNRM-ESM2-1.nc, EC_Earth3.nc, FESOM_REcoM_LR.nc, MOM6_Princeton.nc, MPIOM_HAMOCC.nc; MRI-ESM2-1.nc, NorESM-OC1.2.nc, ORCA1-LIM3-PISCES.nc, ORCA025-EOMAR.nc, Plankotom12, INCOIS-BIO-ROMS.nc, ROMS-NYUAD.nc), nine empirical models (CMEMS-LSCE-FFNN.nc, CSIRML6.nc, Jena-MLS.nc, JMAMLR.nc, Spco2_LDEO_HPD.nc, SOMFNN.nc, NIES-MLR3.nc, UOEX-WAT20.nc, OceanSODAETHZ.nc) and CO2 flux climatology data (CO2_Climatology.nc). This data set also has two atmospheric inversion models output and those are - MACTM (MACTM.nc) and CAMSv20r1 (CMSv20r1.zip format and inside the zip folder files are .nc format).

opencc-by-4.0Dec 2022View details →

Datasets for simulating heat and CO2 fluxes in Beijing using SUEWS V2020b

Data, model runs and codes used in the manuscript "Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance". The source code for Surface Urban Energy and Water balance Scheme (SUEWS) V2020b is also included.   [Latest Version] June 9, 2023: Version 2 was created. (1) Modifications in LAI: the input data of LAI (LAI/source_data/Beijing_LAI.csv) was previously derived from a MODIS product MOD15A2H; it was replaced with the LAI time series at a higher spatial resolution derived from data provided by Landsat 7 ETM+; the code for data retrieval (LAI/LAI_from_GEE.txt) was added. (2) Modifications in ModelRuns: some of the external parameters given to SUEWS were adjusted, including the optimized LAI parameters (for case LAI and case gs_LAI), and Frnonheat (from 0.2 to 0.5); a read_me.txt was added. (3) Modifications in Fig&Statistics: the shaded area for the line charts were changed from standard deviation to the interquartile range.   [Data&Code Description] The folders are: 1. Observations   The units for CO2 flux (Fc), latent heat flux (QE), and sensible heat flux (QH) are μmol m-2 s-1, W m-2, and W m-2, respectively, unless otherwise stated.   1.1. Observation datasets     1.1.1. radiation_flux_2010-2011.csv is radiation flux observations from May 2010 to July 2011 at 140 m on the IAP tower, Beijing.     1.1.2. turbulent_flux_before_QC_2016.csv is turbulent flux observations before quality control (QC) obtained with the eddy covariance (EC) technique for the year 2016 at 47 m on the IAP tower.     1.1.3. turbulent_flux_after_QC_2016.csv is turbulent flux observations after quality control (QC).     1.1.4. Fc_mean_diurnal_by_season.csv is the mean diurnal seasonal cycle of Fc observations.     1.1.5. Fc_gapfilled_with_MDC.csv is the Fc time series for the year 2016 gap-filled with Mean Diurnal Cycle (MDC) method.     1.1.6. meteorological_observations is a folder including meteorological observations at different heights measured at the IAP tower for the years 2010-2012.   1.2 Codes for observations processing     1.2.1. turbulent_flux_QC.py is for turbulent flux QC covering wind direction filtering, stationarity test, friction velocity filtering, and nighttime filtering.     1.2.2. mean_diurnal_cycle_of_flux_observations.py is for obtaining the mean diurnal cycle of flux observations.     1.2.3. Fc_gap_filling.py is for filling the gaps in the Fc time series with the MDC method. 2. LAI   This folder includes a project aiming to obtain the parameters for the leaf area index (LAI) model adopted by SUEWS. In this LAI model, the LAI is related to air temperature only. Incorporating hourly air temperature observations and the 'real' LAI (e.g. observed LAI, remotely sensed LAI), the optimization method Covariance Matrix Adaptation Evolutionary Strategies (CMA-ES) will derive the optimized parameters for the LAI model. For more details, please read the description text file (read_me.txt) under this folder.     2.1. read_me.txt.     2.2. source_data is a folder including the input for CMA-ES optimization. The input files of Beijing are included, allowing a quick run to reproduce the results demonstrated in the manuscript.     2.3. result_data is a folder including the output for CMA-ES optimization.     2.4. The code for data retrieval from the Google Earth Engine platform (LAI/LAI_from_GEE.txt) was added. The others are Python scripts regarding CMA-ES, including the LAI model, data de-spiking, interpolation, CMA-ES training, and result visualization. 3. ModelRuns   This folder includes SUEWS source code, four model runs conducted to test the sensitivity to vegetation-related parameters (i.e., maximum conductance, LAI model parameters), and four model runs to test sensitivity to the radius of the model domain.     3.1. SUEWS_SourceCode is a folder including SUEWS V2020b source Fortran codes. For detailed descriptions, readers are referred to SUEWS webpage (https://suews.readthedocs.io/en/latest/).     3.2. Input is a folder including the necessary input files shared by each of the model runs. Please copy all the files to a model run folder (e.g. VegetationSensitivity\case-base\Input\) before starting a SUEWS run.     3.3. VegetationSensitivity is a folder including four SUEWS runs to test the model sensitivity to vegetation-related parameters: case-base is the control run, case-gs is a model run where maximum conductance of vegetation has been modified to more site-specific values, case-LAI is a model run where LAI parameters have been optimized with CMA-ES, and case-gs_LAI is a model run where both maximum conductance and LAI parameters have been modified. Note that all the model runs have selected 1000 m as the radius of the model domain. To conduct a quick model run to reproduce the output, enter the command "./SUEWS_V2020b" in the model run folder (e.g. VegetationSensitivity\case-base\) under a Linux environment (e.g., Ubuntu).     3.4. RadiusSensitivity is a folder including four SUEWS runs to test the model sensitivity to the size of the model domain, covering circles with a 500 m, 750 m, 1000 m, 1500 m radius, respectively. Note that the vegetation-related parameters are the same as the model run VegetationSensitivity\case-gs_LAI.     3.5. read_me.txt is a note on how to reproduce the SUEWS cases shown in the manuscript. 4. Fig&Statistics   This folder includes Python scripts and data to reproduce a portion of the figures and statistics in the manuscript quickly. They are sorted into the following sub-folders:     4.1 validation_WFDE5,     4.2 evaluation_radiation,     4.3 evaluation_turbulent,     4.4 accumulated_Fc,     4.5 Fc_component_MDC.

opencc-by-4.0Aug 2023View details →

Montly flux of TPM, CO2, CO and CH4 for the south of the Amazon Basin during 2020, 2021 and 2022.

Base de dados da emissão média mensal do fluxo dos materiais TPM, CO2, CO e CH4 para o sul da Bacia Amazônica durante os anos 2020,2021 e 2022. Gerada a partir dos dados do instrumento ABI a bordo do satélite GOES-East, dos coeficientes de emissão do inventário FEER e fatores de emissão específicos do bioma de floresta tropical.   Database of the monthly average emission flux of the materials TPM, CO2, CO, and CH4 for the southern Amazon Basin during the years 2020, 2021, and 2022. Generated from data obtained by the ABI instrument on board the GOES-East satellite, using emission coefficients from the FEER inventory and biome-specific emission factors for tropical forests.

dryad40/100

Dataset for "Stomatal control of leaf fluxes of carbonyl sulfide and CO2 in a Typha freshwater marsh"

Open the record for dataset details and reuse information.

publicOct 2017View details →

openCC (other)Oct 2021View details →

Soil nitrous oxide (N2O) and carbon dioxide (CO2) flux from a Central Iowa crop field and accompanying soil edaphic and climatic variables.

To quantify the magnitude of soil nitrous oxide flux and the drivers of nitrous oxide emissions in a representative central Iowa corn-soybean agricultural system, we measured greenhouse gas emissions (N2O and CO2) from 2017 to 2019 (primarily using custom automated chambers) along with soil chemical and physical parameters across a topographic gradient in a typically managed agricultural field near Ames, Iowa, USA. More details can be found in the associated manuscript, Lawrence et al. (2021).

Best fit parameters describing net CO2 flux light response curves measured during the ITEX CO2 flux survey 2003-2009.

Ecosystem CO2 flux light response curves were measured on 1m x 1m plots ( some 0.3m x 0.3m plots in 2006 and some 0.7m x0.7m plots in 2009) across the arctic. This file contains the best fit parameters that describe these light response curves, together with corresponding NDVI data for each curve. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

Plant % cover by functional type for the ITEX CO2 flux survey plots at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; Anaktuvuk River Burn, Alaska and Barrow, Alaska 2003-2009.

Estimated aerial plant % cover by functional type in flux plots measured during the ITEX cirumarctic flux survey 2004-2006. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

Soil temperature, volumetric water content and depth of thaw for ITEX CO2 flux survey plots 2003-2009.

Soil temperature, moisture content and thaw depth of the ITEX flux survey plots. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

ITEX circumarctic CO2 flux survey data from Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; Anaktuvuk River Burn, Alaska and Barrow, Alaska 2003-2009.

Ecosystem CO2 flux light response curves were measured on 1m x 1m plots across the arctic. This file contains the CO2 and H2O flux measurements and NDVI data for each plot. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.

Plant % cover by species for the ITEX CO2 flux survey plots at Toolik, Alaska; Abisko, Sweden; Svalbard, Norway; Zackenberg, Northeast Greenland; and Barrow, Alaska 2004-2009

Estimated aerial plant % cover by species in flux plots measured during the ITEX circumarctic flux survey 2004-2006. Flux plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska.

openOpenMar 2010View details →

Eight Mile Lake Research Watershed, Thaw Gradient: Growing season CO2 fluxes and several ecosystem measurements, growing season 2006-2007.

This dataset contains growing season CO2 fluxes, aboveground biomass, soil temperature, volumetric moisture content, seasonal thaw depth, and NDVI measured at 50 grid points along EML gradient sites measured.

openOpenMay 2010View details →

Eight Mile Lake Research Watershed, Thaw Gradient, Ecosystem carbon balance: Eddy covariance CO2 flux data of a heterogenous landscape undergoing permafrost thaw.

In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Understanding how landscape level physical and biological changes effect carbon cycling is important for estimating the carbon balance of an ecosystem undergoing permafrost thaw.

openOpenApr 2011View details →

Eight Mile Lake Research Watershed, Thaw Gradient, Ecosystem carbon balance: Growing season, chamber-based, CO2 flux data, 2004-2010.

In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. This data set includes carbon fluxes (NEE, Reco and GPP) measured and gapfilled in three areas with different degrees of thawing (minimal moderatedd and extensive thaw).

openOpenJan 2016View details →

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Half-hourly growing season, chamber-based, CO2 flux data, with dark daytime measurements, 2014

The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. How does warming impact the phenology of dominant plant species? This data contains CO2 fluxes measured using an automated chamber system that measures net CO2 exchange (NEE). Measurements are made every ~1.5 hours and modeled half-hourly. Half hour ecoystem respiration is modeled using an exponential Q10 relationship when light conditions are low (PAR<5umol/m2/s) and using a hyperbolic light relationship when PAR>5umol/m2/s. Addditional dark daytime Reco measurements were used to define the Q10 model. GPP is calculated as the difference between NEE and Reco.