Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
147
datasets available to search
ShareScore release 0.9.0
Dataset results
147 results for “CO2 flux”
Observing system simulation experiments to evaluate transport model error on CO2 flux estimates
<p>Atmospheric CO2 inversion using coarse-resolution transport model can cause large errors on surface carbon flux estimates. The transport model errors on flux estimates are isolated using observing system simulation experiments presented here.</p>
Soil CO2 Flux Data from the southern Malawi Rift
<p>Soil CO<sub>2</sub> data collected in transects across faults in the southern Malawi Rift in August 2018.</p> <p>Measurements of soil CO<sub>2</sub> flux were collected during a survey in August 2018 during the dry season in Malawi, in order to attempt to reduce the possibility of a high biogenic flux obscuring the output of deeper CO<sub>2</sub>. We collected measurements using the accumulation chamber method (Chiodini et al., 1998), where a soil collar is coupled to the ground surface, and the gas flux is sampled and analysed for CO<sub>2</sub> using a PP Systems EGM-4 Environmental Gas Analyser and a SRC-1 Soil Respiration Chamber.</p> <p>A high-resolution digital elevation model (DEM; 12.5 m TanDEM-X), was used to identify active fault scarps in southern Malawi (following Wedmore et al., 2020), which were the focus of our investigation. We collected flux measurements running from the footwall across the active faults and into the hanging wall of the scarps that we identified, with approximately 10-50 m spacing between individual sampling locations.</p> <p>Also published here is an ipython notebook to analyse the data.</p>
Mycorrhizal effects on decomposition and soil CO2 flux depend on changes in nitrogen availability during forest succession
Open the record for dataset details and reuse information.
N2O and CO2 fluxes and related environmental conditions in response to manure and synthetic fertilization treatments, with and without a urease inhibitor
Open the record for dataset details and reuse information.
Data from: CO2 fluxes in created and natural marshes in Sabine National Wildlife Refuge, Louisiana
Open the record for dataset details and reuse information.
TeRaCON eight year mean of NPP, carbon pools, and soil flux:BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Dataset: Seasonality, drivers, and isotopic composition of soil CO2 fluxes from tropical forests of the Congo Basin
<p>These data sets contain data from soil CO2 flux measurements and its drivers (soil moisture, soil temperature) from lowland and montane tropical forests of the Congo Basin. Additionally, 13C values of soil emitted CO2, SOC, Leaflitter, and stream dissolved CO2 are reported. A Manuscript using these data sets has been submitted to Biogeosciences</p>
Average Annual Atmospheric CO2 (ppm) with Average Regional Surface Downward Mass Flux of Carbon Dioxide Expressed as Carbon (molC_m²_yr)
<p>The fluctuation in both atmospheric CO2 and regional surface downward mass flux of carbon dioxide expressed as carbon. The annual data for both variable is taken from average monthly measured data.</p>
A detectable change in the air-sea CO2 flux estimate from sailboat measurements
<p>This repository contains files and scripts used to generate figures for the paper titled "A detectable change in the air-sea CO2 flux estimate from sailboat measurements". The study quantifies the impact of pCO2 observations measured by the sailboat "Seaexplorer" on the air-sea CO2 flux estimate.</p><p><strong> Overview:</strong></p><p>We used pCO2 measurements sourced from SOCAT (www.socat.info), along with other environmental variables. We applied the 2-step neural network method SOM-FFN (Landschützer et al., 2013) to reconstruct air-sea CO2 flux estimates.</p><p>Four sets of air-sea CO2 flux estimates were reconstructed, each with 40 ensemble members to account for random errors in the neural network. These are the four sets:</p><p>E1) fluxesA - Based on SOCATv2022 including Seaexplorer data</p><p>E2) fluxesB - Based on SOCATv2022 excluding Seaexplorer data.</p><p>E3) fluxesC - Based on SOCATv2022 data, including Seaexplorer data, but introducing a random uncertainty of ± 5 μatm to the Seaexplorer data.</p><p>E4) fluxesD - Based on SOCATv2022 data, including Seaexplorer data, but introducing a constant measurement offset of 5 μatm to the Seaexplorer data.</p><p>These air-sea CO2 flux density estimates are 4-dimensional, represented in mol C m-2 yr-1, with the following dimensions:</p><p>- Ensemble size of flux reconstructions (40)</p><p>- Time (months from 1982 to 2021, totaling 480 months)</p><p>- Latitude (1-degree intervals, totaling 180 latitudes)</p><p>- Longitude (1-degree intervals, totaling 360 longitudes)</p>
Combined CH4, N2O and CO2 fluxes budgets reveal a net carbon sink across a glacier-ocean continuum
<p>This dataset is supplument to a manuscript "Meltwater impacts CH4 and N2O fluxes across a glacier-ocean interface". </p> <p>Dataset includes </p> <ul> <li>timeseries.xlsx <ul> <li>A timeseries dataset conducted at Jökulsárlón Lagoon in Iceland. It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, water flow and environmental variables. </li> </ul> </li> <li>discrete_v3.xlsx <ul> <li>Discrete samples conducted around Jökulsárlón Lagoon in Iceland It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, nutrient. </li> <li>Add lat and lon (updated: 20 Nov 2024) </li> </ul> </li> </ul>
MIROC4-ACTM CO2 Inversion flux (2001-2020; case s050_ux4_gc3t)
<p>Details in :</p> <p>Chandra, N., Patra, P. K., Niwa, Y., Ito, A., Iida, Y., Goto, D., Morimoto, S., Kondo, M., Takigawa, M., Hajima, T., and Watanabe, M.: Estimated regional CO<sub>2</sub> flux and uncertainty based on an ensemble of atmospheric CO<sub>2</sub> inversions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1039, in review, 2021.</p>
A benchmark dataset of diurnal- and seasonal-scale radiation, heat and CO2 fluxes in a typical East Asian monsoon region
<p>A benchmark dataset include 30-min meteorology and eddy flux variables at four sites with two typical surface types (i.e., SX-cropland, DT-cropland, XZ-suburb, and DS-suburb) in the Yangtze River Delta of China.<br> SX-cropland: 15 Jul 2015–24 Apr 2019<br> DT-cropland: 1 Dec 2014–30 Nov 2017<br> XZ-suburb: 27 Mar 2014–22 Jan 2017<br> DS-suburb: 16 Apr 2011–1 Jan 2019</p>
Dataset for Measuring turbulent CO2 fluxes with a closed-path gas analyzer in a marine environment (2018)
<p>Dataset for Honkanen et al. (2018). The package contains .csv datafile and .pdf readme file.</p> <p>Included .csv file consists of CO2 flux and additional data measured at the Utö Atmospheric and Marine Research Station (59°46’55” N, 21°21’27” E) during July-October 2017. The file is comma-separated and its headers describe the variable name and the units: see readme file for more information about the columns. Missing values are indicated with -999. For more information, the reader is referred to Honkanen et al. (2018).</p> <p>Honkanen, M., Tuovinen, J.-P., Laurila, T., Mäkelä, T., Hatakka, J., Kielosto, S., and Laakso, L.: Measuring turbulent CO<sub>2</sub> fluxes with a closed-path gas analyzer in marine environment, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-61, in review, 2018.</p>
Data used in the manuscript "Pioneering evidence of the dynamics of water vapor and CO2 fluxes in Sahara Desert soils"
Open the record for dataset details and reuse information.
Individual and interactive effects of warming and nitrogen supply on CO2 fluxes and carbon allocation in subarctic grassland
<p>We provide data (Data_all.xlsx) and the code for ecosystem productivity, soil respiration, carbon allocation in the shoot, root, soil, and microbes, and nitrogen and carbon availability in plant, soil, and microbes data. The measurements were made under soil warming gradient and under N fertilization treatment during the summer of 2018.</p> <p>The sheet '13C_allocation' contains data on excess <sup>13</sup>C in the plant, soil, and soil respiration for days 1,3,6, and 10 days after <sup>13</sup>CO<sub>2</sub> pulse labeling. </p> <p>The sheet 'primary productivity' contains data on ecosystem fluxes (Gross primary productivity; Net ecosystem productivity and Dark respiration).</p> <p>The sheet 'SR' contains data of soil respiration.</p> <p>The sheet 'dynamics.' contains data of continuous measurements of soil respired CO<sub>2</sub> (SR), <sup>13</sup>CO<sub>2</sub> (SR13C), soil water content(SWC), soil temperature (ST), and photosynthetic active radiation (PAR) and air temperature (Tair).</p> <p>The sheet 'Soil_N' consists of dissolved organic N (TdN), NH<sub>4</sub>, and NO<sub>3</sub> measured in soil. The sheet plant_N consists of N in plants. The microbial biomass carbon (MBC) and nitrogen (MBN) are provided in the sheet 'Microbial_Biomass'</p> <p>The R file 'Script. R' explains and plots the data. In addition, this R file also provides the script for time series regression analysis between response variables (soil-respired CO<sub>2</sub> and soil-respired <sup>13</sup>CO<sub>2</sub>) and environmental drivers (soil water content, soil temperature, and PAR), and provides the script for structural equation modeling (SEM) and linear mixed effects model and statistics.</p>
Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration
Open the record for dataset details and reuse information.
Effects of plant functional group removal on CO2 fluxes and belowground C stocks across contrasting ecosystems
Open the record for dataset details and reuse information.
Riparian Evapotranspiration (ET) Study (SEON) from the Middle Rio Grande River Bosque, New Mexico (1999-2011 ): CO2 Concentration and Flux data
This study originated with the objective of parameterizing riparian evapotranspiration (ET) in the water budget of the Middle Rio Grande. We hypothesized that flooding and invasions of non-native species would strongly impact ecosystem water use. Our objectives were to measure and compare water use of native (Rio Grande cottonwood, Populus deltoides ssp. wizleni) and non-native (saltcedar, Tamarix chinensis, Russian olive, Eleagnus angustifolia) vegetation and to evaluate how water use is affected by climatic variability resulting in high river flows and flooding as well as drought conditions and deep water tables. Eddy covariance flux towers to measure ET and shallow wells to monitor water tables were instrumented in 1999. Active sites in their second decade of monitoring include a xeroriparian, non-flooding salt cedar woodland within Sevilleta National Wildlife Refuge and a dense, monotypic salt cedar stand at Bosque del Apache NWR, which is subject to flood pulses associated with high river flows. These data are CO2 concentration at canopy and CO2 flux from canopy collected as part of this study.
Data set for "Overstory dynamics regulate the spatial variability in forest-floor CO2 fluxes across a managed boreal forest landscape"
<p>This data set is a compilation of forest stand characteristics, forest-floor environmental conditions, soil properties, ecosystem carbon stocks, and annual forest-floor CO<sub>2</sub> fluxes. The data set is composed by 3-year mean annual values obtained from biometric- and chamber-based flux measurements conducted during the period 2016–2018. Negative values of forest-floor CO<sub>2</sub> fluxes indicate carbon uptake and positive values indicate carbon release. Data were collected in 50 forest stands within the Krycklan Catchment Study (<a href="https://www.slu.se/Krycklan">https://www.slu.se/Krycklan</a>), a multi-scale long-term monitored boreal catchment spanning 68 km<sup>2</sup> in northern Sweden. Selected forest stands encompassed different soil types (sediment vs. till), dominant tree species (pine vs. spruce), and age classes (from initiation to old-growth stands).</p> <p>Variables, units, and definitions are found in the 1_metadata_Martínez-García_et_al._forest-floor_CO2_fluxes.xlsx file</p> <p>More details can be found in Martínez-García et al. (2022) Overstory dynamics regulate the spatial variability in forest-floor CO<sub>2</sub> fluxes across a managed boreal forest landscape. Agricultural and Forest Meteorology. 318: 108916. <a href="https://doi.org/10.1016/j.agrformet.2022.108916">https://doi.org/10.1016/j.agrformet.2022.108916</a></p> <p>Contact information:</p> <p>Ph.D. Eduardo Martínez García (<a href="mailto:eduardo.martinez@slu.se">eduardo.martinez@slu.se</a>, <a href="mailto:edu.martinez.garcia@gmail.com">edu.martinez.garcia@gmail.com</a>)</p> <p>Professor Matthias Peichl (<a href="mailto:matthias.peichl@slu.se">matthias.peichl@slu.se</a>)</p> <p>Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden</p>
Meridional propagation of carbon dioxide (CO2) growth rate and flux anomalies from the tropics due to ENSO
<p>El Niño Southern Oscillation (ENSO) influence on carbon dioxide (CO2) growth rates are not spatially uniform or simultaneous around the globe. Using atmospheric CO2 observations and atmospheric chemistry-transport model (ACTM), we show that the anomalies in CO2 fluxes and growth rate originate in the tropics, as an effect of ENSO. The CO2 anomalies are then propagated from the equator toward the poles with asymmetric delays. A maximum delay of about 8 and 4 months are found at the northern hemisphere (NH) and southern hemisphere (SH) high latitudes, respectively. This asymmetric time delay is because the CO2 flux anomaly mainly originate in the tropical SH land and transport of SH air into the NH is slower than that for NH air into the SH. The poleward increase of time delay is more homogeneous in the upper troposphere, as per the ACTM simulations, but observational evidence suffers from gaps in <br> long-term measurements.</p>
ScienceDex guides
Understand access before you commit
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.