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”
Global ocean carbon uptake enhanced by rainfall : CO2 flux datasets
<p>1) NETCDF files containing the annual mean maps of the CO2 flux diagnostics considering the different effects of rain over the period 2008-2018 (Parc et al. 2024)</p> <ul> <li>map_statflux_REF.nc : Diagnostic reference flux taking into the ocean skin effect and formation of diurnal warm layers (Bellenger et al. 2017)</li> </ul> <p>- Diagnostics based on the ERA5 reanalysis rain dataset (Hersbach et al. 2020) : </p> <ul> <li>map_statflux_KR_rERA5.nc : Diagnostic flux integrating the impact of rain-induced turbulence (Harrison et al. 2012) to the reference flux</li> <li>map_statflux_DIL_DS1_rERA5.nc : Diagnostic flux integrating the impact of rain-induced dilution using Bellenger et al. (2017) parametrization to the reference flux</li> <li>map_statflux_DIL_DS2_rERA5.nc : Diagnostic flux integrating the impact of rain-induced dilution using Supply et al. (2020) parametrization to the reference flux</li> <li>map_statflux_INT_DS1_rERA5.nc : Diagnostic flux integrating the combined effect of rain-induced turbulence (Harrison et al. 2012) and dilution using Bellenger et al. (2017) parametrization to the reference flux</li> <li>map_statflux_INT_DS2_rERA5.nc : Diagnostic flux integrating the combined effect of rain-induced turbulence (Harrison et al. 2012) and dilution using Supply et al. (2020) parametrization to the reference flux</li> <li>map_statflux_WD_rERA5.nc : Additional diagnostic CO2 flux due to wet deposition (Komori et al. 2007)</li> </ul> <p>- Diagnostics based on the IMERG satellite-based rain dataset (Huffman et al. 2023) : </p> <ul> <li>map_statflux_KR_rIMERG.nc : Diagnostic flux integrating the impact of rain-induced turbulence (Harrison et al. 2012) to the reference flux</li> <li>map_statflux_DIL_DS1_rIMERG.nc : Diagnostic flux integrating the impact of rain-induced dilution using Bellenger et al. (2017) parametrization to the reference flux</li> <li>map_statflux_DIL_DS2_rIMERG.nc : Diagnostic flux integrating the impact of rain-induced dilution using Supply et al. (2020) parametrization to the reference flux</li> <li>map_statflux_INT_DS1_rIMERG.nc : Diagnostic flux integrating the combined effect of rain-induced turbulence (Harrison et al. 2012) and dilution using Bellenger et al. (2017) parametrization to the reference flux</li> <li>map_statflux_INT_DS2_rIMERG.nc : Diagnostic flux integrating the combined effect of rain-induced turbulence (Harrison et al. 2012) and dilution using Supply et al. (2020) parametrization to the reference flux</li> <li>map_statflux_WD_rIMERG.nc : Additional diagnostic CO2 flux due to wet deposition (Komori et al. 2007)</li> </ul> <p>All these files contain three variables : </p> <ul> <li>MFLUX : Annual mean of diagnostic flux (gC/m2/yr)</li> <li>SFLUX : Standard deviation of diagnostic flux</li> <li>WEIGHT : Number of data time steps used for the statistics</li> </ul> <p>2) Excel file containing the monthly means of the global ocean CO2 sink (PgC/y) corresponding to all the different diagnostics previously described (Parc et al. 2024) : GlobalOceanSink_2008-2018_rain_monthly_diagnostics.xlsx</p> <p>References : </p> <ul> <li><em>Bellenger, H. et al. Extension of the prognostic model of sea surface temperature to rain‐induced cool and fresh lenses. J. Geophys. Res. Oceans 122, 484–507 (2017).</em></li> <li><em>Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020).</em></li> <li><em>Harrison, E. L. et al. Nonlinear interaction between rain- and wind-induced air-water gas exchange. J. Geophys. Res. Oceans 117, (2012).</em></li> <li><em>Supply, A., Boutin, J., Reverdin, G., Vergely, J.-L. & Bellenger, H. Variability of Satellite Sea Surface Salinity Under Rainfall. in Satellite Precipitation Measurement (eds. Levizzani, V. et al.) vol. 69 1155–1176 (Springer International Publishing, Cham, 2020).</em></li> <li><em>Komori, S., Takagaki, N., Saiki, R., Suzuki, N. & Tanno, K. The Effect of Raindrops on Interfacial Turbulence and Air-Water Gas Transfer. in Transport at the Air-Sea Interface (eds. Garbe, C. S., Handler, R. A. & Jähne, B.) 169–179 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2007). doi:10.1007/978-3-540-36906-6_12.</em></li> <li><em>Huffman, G., Stocker, E. F., Bolvin, D. T., Nelkin, E. J. & Tan, J. GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07. NASA Goddard Earth Sciences Data and Information Services Center https://doi.org/10.5067/GPM/IMERG/3B-HH/07 (2023).</em></li> </ul>
Tracing low-CO2 fluxes in incubation and 13C labeling experiments; data set
<p>Data set containing data from feature tests (1-3) as well as photosynthesis and respiration measurements.</p> <p> </p>
Ocean Surface pCO2 and Air-Sea CO2 Flux in the Northern Gulf of Mexico, 2006-2010
This dataset provides 1 km gridded monthly estimates of surface ocean partial pressure of CO2 (pCO2) and air-sea flux of CO2 (CO2 flux) for the northern Gulf of Mexico for the period 2006 through 2010. Estimates of pCO2 were derived from MODIS/Aqua satellite imagery in combination with ship-based observations. Estimates of CO2 flux were derived from estimates of seawater pCO2, wind fields, and atmospheric pCO2.
A global surface CO2 flux dataset (2015–2021) inferred from OCO-2 retrievals using the GONGGA inversion system
<p>Here we present a global spatially-resolved terrestrial and ocean carbon flux dataset for 2015–2021. The dataset is generated by the Global ObservatioN-based system for monitoring Greenhouse GAses (GONGGA) atmospheric inversion system through assimilating Observing Carbon Observatory 2 (OCO-2) v10r XCO<sub>2</sub> retrievals. The flux files contain NEE, ocean carbon fluxes, fossil fuel emissions, and biomass burning emissions. The NEE and ocean carbon fluxes include the prior and posterior estimates. The corresponding gridded uncertainty of NEE and ocean fluxes are also included in the flux files. The global gridded fluxes are 3-hourly with a resolution of 2° latitude × 2.5° longitude . Users can aggregate the gridded fluxes on their preferred regions. The GEOS-Chem simulated CO<sub>2</sub> concentrations driven by posterior NEE and ocean fluxes, as well as fossil fuel emissions and biomass burning emissions, are generated every 3 hours with a resolution of 2° latitude × 2.5° longitude at 47 vertical levels.</p>
CO2 Flux (Eddy Covariance) Dataset from an Iowa Research Farm, Jan-Dec 2021
<p>CO2 flux dataset from an eddy covariance tower situated in a rainfed field at an Iowa State University research station near Williams, Iowa. Data have been screened but not fully gap-filled, and are at 1-hr intervals from Jan – Dec 2021.</p>
CO2 Flux (Eddy Covariance) Dataset from a Minnesota Farm, Jan-Dec 2021
<p>CO2 flux dataset from an eddy covariance tower (screened, but not fully gap-filled) situated in a rainfed field near Morris, Minnesota. Data have been screened but not fully gap-filled and are at 1-hr intervals from Jan – Dec 2021.</p>
Geogenic soil CO2 flux in a restricted extent close to a CO2-rich groundwater well in a tectonically quiescent area
<p>Soil CO<sub>2</sub> flux was investigated in a limited extent close to a CO<sub>2</sub>-rich groundwater well in a tectonically quiescent area by the accumulation chamber method using both LI-COR 8100A (LI-COR Inc., Lincoln, Nebraska, USA) and EGM-5 portable CO<sub>2</sub> gas analyzer (PP Systems, Amesbury, Massachusetts, USA). Performance of the two devices was compared by simultaneously measuring soil CO<sub>2</sub> flux at several points of geogenic and biogenic CO<sub>2</sub> origin using both instruments.</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.