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238 results for “carbon flux”
Carbon and energy Eddy-covariance fluxes dataset collected at Frasne peatland (192ha, Jura Mountains, France)
<p>luxes and energy data measured by Eddy-covariance at Frasne peatland (ec1). Measurements start on 20-07-2018 and are regularly updated with new data. Data include carbon dioxide fluxes (CO2, µmol/m²/s), methane fluxes (CH4, µmol/m²/s), sensible heat fluxes (H, W/m²), latent heat fluxes (LE, W/m²) and evapotranspiration (ETR, mm/h).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Data_Sediment accumulation rates and carbonate fluxes of deep-sea sediments in the southern Gulf of Mexico
<p>We present the mass and carbonate annual fluxes, collected by two sediment traps at 1000 m depth, located in the western and southern deep-water region of the Gulf of Mexico, and the total mass and carbonate accumulation rates from 48 sediment cores retrieved from continental slopes and the abyssal plain of the southern Gulf of Mexico (sGM). We also presented the conventional and calibrated radiocarbon age analyzed in planktic foraminifera (> 250 μm size fraction) in sediment cores from the southern Gulf of Mexico, collected in the XIXIMI-7 cruise (May 2019).</p>
Supplementary Data for "The history of Cenozoic carbonate flux in the Atlantic Ocean constrained by multiple regional carbonate compensation depth reconstructions"
<p>The files on this site accompany the paper:</p> <p>Dutkiewicz, A. And Müller, R.D., in review, The history of Cenozoic carbonate flux in the Atlantic Ocean constrained by multiple regional carbonate compensation depth reconstructions, Geochemistry, Geophysics, Geosystems.</p> <p>There are two zipped file archives:</p> <p>1) backtracked_sites.zip</p> <p>This archive contains two directories of backtrack site files, one for the North Atlantic and one for the South Atlantic.</p> <p>Each directory contains a set of files listing, by site:</p> <p>age(Ma), compacted_depth (observed)(mbsf), compacted_thickness (observed)(m), decompacted_thickness(m), decompacted_density(g/cm3), water_depth(m), tectonic_subsidence (since formation of crust)(m), decompacted_depth(mbsf) dynamic_topography(m) lithology</p> <p>The lithology classification follows the lithology classes defined in Muller et al. (2018).</p> <p>A second set of files contains:</p> <p>age(Ma), depth(mbsf), paleowaterdepth(m), dry_bulk_density(g/cm3), DLSR(m/my), carbonate(weight_%) CAR(mg/cm2/kyr)</p> <p>DLSR=decompacted linear sedimentation rate<br> CAR=carbonate accumulation rate</p> <p>2) regional_Cenozoic_carbonate_thickness_grids.zip</p> <p>This archive contains 3 folders with grids for modelled Cenozoic carbonate thicknesses for the South Atlantic, central North Atlantic and northern North Atlantic. They can be viewed with netcdf viewers like panoply, or plotted using the Generic Mapping Tools. The workflow for creating these grids can be found on GitHub:</p> <p>https://github.com/EarthByte/CarbonateSedimentThickness</p> <p><br> This site also contains a spreadsheet entitled "Dutkiewicz_Muller_G3_2022_model_data_summary.xlsx"</p> <p>It contains our model outputs including regional decompacted carbonate sediment volumes and thicknesses, depositional areas, carbonate carbon fluxes and carbonate compensation depths for the northern and central North Atlantic and South Atlantic.</p> <p>A video entitled "compacted_carb_thick_atlantic_66-0Ma.mp4" shows the Cenozoic evolution of carbonate sediment thickness in the Atlantic Ocean.</p> <p><br> References:</p> <p>Spasojevic, S., & Gurnis, M. (2012). Sea level and vertical motion of continents from dynamic earth models since the Late Cretaceous. AAPG bulletin, 96(11), 2037-2064. https://doi.org/10.1306/03261211121</p> <p>Müller, R. D., Cannon, J., Williams, S. and Dutkiewicz, A., 2018, PyBacktrack 1.0: A Tool for Reconstructing Paleobathymetry on Oceanic and Continental Crust, Geochemistry, Geophysics, Geosystems, 19, 1898-1909, https://doi.org/10.1029/2017GC007313.</p> <p><br> </p>
Land management controls on soil carbon fluxes in Asia's largest tropical grassland
<p>Data files for 'Land management controls on soil carbon fluxes in Asia’s largest tropical grassland', submitted to Ecological Indicators on 15 May 2024.</p>
Urban carbon uptake from COS fluxes, Helsinki 2023 Dataset
<h3>Dataset Description: Urban Carbon Uptake by Vegetation</h3> <p>This dataset contains a collection of measurements relevant to the study of carbon uptake by urban vegetation, and is used by Soininen et al (to be published, embargoed until publishing). The data were acquired in Helsinki, Finland, between 1st May and 31st October 2023. Dataset contents are as follows:</p> <ul> <li><strong>Eddy Covariance Data</strong>: Continuous measurements of carbon dioxide (CO2), carbon monoxide (CO), and carbonyl sulfide (COS) fluxes at SMEAR III (Station for Measuring Ecosystem-Atmosphere Relations; https://meta.icos-cp.eu/resources/stations/ES_FI-Kmp)</li> <li><strong>Meteorological Measurements</strong>: Key parameters such as temperature, humidity, wind speed, wind direction, and photosynthetically active radiation measured at SMEAR III eddy covariance tower and closeby building roof top</li> <li><strong>Soil Measurements</strong>: Data on soil temperature and volumetric soil water content, measured in the Kumpula botanic garden premises</li> <li><strong>Leaf Area Index (LAI)</strong>: Derived from Sentinel-2 satellite imagery, this data provides information on vegetation density used in a parameterization to connect COS flux to photosynthetic CO2 uptake</li> <li><strong>Traffic Data</strong>: Information on traffic rate and average speeds observed on the study area used to estimate anthropogenic CO2 emissions</li> <li><strong>Land Use Data</strong>: Detailed mapping of land use types, enabling spatial analysis of vegetation distribution</li> </ul>
Surface Sedimentary Black Carbon Concentrations, Fluxes, and Stable and Radiocarbon Isotopes in the Equatorial Atlantic Ocean
<p><strong>Abstract</strong></p> <p>Surface sediments (0-1 cm) obtained from equatorial Atlantic Ocean isolated for black carbon using the chemothermal oxidation at 375 method. Multicores were taken during aboard the R.V. Endeavor (EN651) from February 27th 2020 through March 17th 2020 using a MC-800.</p> <p><strong>Core collection</strong></p> <p>MC-800 tubes were labeled (EN651-“Site number”-MC”coring attempt number”“letter of core”,ex: EN651-01-MC01a) and photographed before sectioning. The water on top of the core was syphoned off and a thin piece of stainless-steel sheet was slid under the foot of the tube. The foot was bent up and the stainless-steel sheet was used to transfer the core to the core extruder. Cores were sectioned at 1 cm intervals down to 10 cm, then 2 cm intervals down to 20 cm, using the piece of stainless-steel and a cake spatula to cut them. The remainder of the core was wrapped in combusted aluminum foil and placed in a zip-lock bag for storage. Sections of cores were stored in amber glass jars placed in a freezer. One core was transferred with the extruder to a PVC tube and capped for archival storage. If 5 or more cores were recovered, 0.5 cm sections would be taken down to 10 cm and the remainder of the core wrapped in foil and zip-lock bagged before being frozen. Due to a limited supply of jars, the 0.5 cm core sections were wrapped in combusted aluminum foil and placed in a ziplock bag before being stored with other samples. All cores and core sections were stored at -20 ̊C.</p> <p><strong>Analytical methods</strong><br>Surface sediment samples (0 – 1 cm) were dried at 60 ˚C until dry and passed through a 420 µm sieve before analysis. Total organic carbon samples were weighed into silver capsules (Elemental microanalysis silver capsules ultra-clean pressed 8 x 5 mm, D2030), acidified to remove inorganic carbon (2 M HCl), and folded into tin capsules (Costech tin capsules 10 x 10 mm, 041073). Black carbon was isolated using the CTO 375 method 34. 100 mg of samples where weighed out into ceramic crucibles and spread into a thin layer prevent charring. Sample were combusted at 375 ˚C for 24 hrs. under the flow of ultra high purity air (0.4 L min<sup>-1</sup>). The remaining sediment was transferred to GC vials for storage, then processed the same as the TOC samples to remove any inorganic carbon present (as detailed above).</p> <p><strong>Sampling equipment</strong></p> <p>Sediment cores were collected using an MC-800</p> <p><strong>Analytical instrumentation</strong></p> <p> An Elemental Analyzer (Costech 4010 Elemental Analyzer) was used for quantification of the BC and TOC fractions. The same elemental analyzer coupled to an Isotope Ratio Mass Spectrometer (Thermo Delta V Advantage) was used for the sample carbon isotopes. Radiocarbon isotopes were measured at the National Ocean Sciences Accelerator Mass spectrometry.</p> <p><strong>Parameter names, descriptions, units</strong></p> <p>Name, "Name of the sediment core from which the top 1 cm was sectioned"<br>Collection Date, "Date the multicore was collected, month/day/year<br>Lat, "Latitude of sampling site", decimal degrees<br>Lon, "Longitude of sampling site", decimal degrees<br>Depth, "Water depth of sample site", meters (m)<br>MAR, "Mass accumulation rate", grams per square centimeters per thousand years (g cm<sup>-2</sup> kyr<sup>-1</sup>), blank = no data<br>TOC, "Total organic carbon concentration", milligrams per gram dry weight (mg g<sup>-1</sup>)<br>TOC d13C, "Total organic carbon δ<sup>13</sup>C value", per mill (‰)<br>TOC D14C, "∆<sup>14</sup>C value of TOC calibrated for a reservoir age of 550 years", per mill (‰), blank = no data<br>BC, "Black carbon concentration", milligrams per gram dry weight (mg g<sup>-1</sup>)<br>BC sd, "Black carbon concentration standard deviation", milligrams per gram dry weight (mg g<sup>-1</sup>)<br>BC d13C, "Black carbon delta <sup>13</sup>C value", per mill (‰), NA<br>BC D14C, "∆<sup>14</sup>C value of the BC", per mill (‰), blank = no data<br>BC flux, "Flux of black carbon to sediments", milligrams per square centimeters per thousand years (mg cm<sup>2</sup> kyr<sup>-1</sup>), blank = no data<br>BC flux sd, "The standard devation of the flux of black carbon to sediments", milligrams per square centimeters per thousand years (mg cm<sup>2</sup> kyr<sup>-1</sup>), blank = no data</p>
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
<p>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).</p> <p>The dataset is used for the publication "Tupek et al. : <strong>Lower sensitivity of microbial respiration to soil moisture after long-term N fertilization increases soil carbon retention in a Scots pine forest</strong>. 2024".</p>
Modeling the recent drought and thinning impacts on energy, water and carbon fluxes in a boreal forest
<p>This dataset includes the data used for model calibration and validation, as well as the simulation files with accepted runs, which are available for the readers to re-generate the results of this work. The *.bin files are the data for driving the model and for calibration and validation. They are specifically in the format for the CoupModel. Therefore, to check the data the CoupModel software needs to be installed. </p> <p>Additionally, we provide the software for CoupModel, which the readers could install on local computers to check the simulations. For detailed instructions on how to run CoupModel, please visit the CoupModel website www.coupmodel.com.</p>
Data on: Dynamics of short-term ecosystem carbon fluxes induced by precipitation events in a semiarid grassland
<p>Data correspond to mean daytime net ecosystem carbon exchange (NEE) obtained through the eddy covariance method along six years from 2011 to 2016 (For more details of data see <a href="https://doi.org/10.1029/2018JG004799">https://doi.org/10.1029/2018JG004799</a>).</p> <p>Database contain changes of daytime NEE after a precipitation event (difference between previous day and the day after a precipitation event). Moreover, environmental and soil variables are included: 1) daily mean, previous and the change of soil water content at 2.5 and 15 cm depth, 2) previous NEE rate, 3) change of photosynthetic photon flux density, and 4) air temperature.</p> <p>Data was used to test the effect of environmental and soil variables on the daytime net ecosystem exchange. We was interested in short-term effects, i.e. the priming effect or the Birch effect.</p> <p>Manuscript where this database was used is under review.</p> <p> </p>
A 1D coupled physical-biogeochemical model for the North Atlantic for studying vertical carbon flux parameterizations
<p>This repository provides the model output and code for analysis in the following article:</p> <p>Wang, B., & Fennel, K. (2023). An assessment of vertical carbon flux parameterizations using backscatter data from BGC Argo. <em>Geophysical Research Letters</em>, 50, e2022GL101220. <a href="https://doi.org/10.1029/2022GL101220">https://doi.org/10.1029/2022GL101220</a></p> <p> </p>
Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape [Data set]
<p>The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes of boreal subarctic landscape and its ecosystems and ecotones, and ancillary meteorological and environmental data, measured at Kaamanen, northern Finland (69°8’ N, 27°16’ E; 155 m a.s.l.), during June 2017 - June 2019. The studied ecosystems and ecotones include: upland pine forest, fen, treed pine bog, sparsely treed pine bog, lakes and string top fen plant community.</p> <p>C_fluxes1b_Heiskanen_et_al_2022.csv includes quality screened, u* filtered and gap-filled eddy covariance ecosystem flux data and modelled pine bog and string top time series utilising eddy covariance and manual flux chamber measurements.</p> <p>C_fluxes2_Heiskanen_et_al_2022.csv includes quality screened daily average lake fluxes from mineral and organic sediment lakes.</p> <p>environmental_data_Heiskanen_et_al_2022.xlsx includes ancillary meteorological and environmental data.</p>
Rates of greenhouse gas (carbon dioxide, methane and nitrous oxide) fluxes, denitrification-derived N2O and N2 fluxes and nitrification-derived N2O fluxes from salt marsh soils in Quebec, Canada and Louisiana, U.S. under ambient and elevated temperature and nutrient loading.
<p>Dataset used in <a href="https://link.springer.com/article/10.1007/s10533-023-01104-0?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20231214&utm_content=10.1007/s10533-023-01104-0#citeas">Elevated temperature and nutrients lead to increased N<sub>2</sub>O emissions from salt marsh soils from cold and warm climates</a>.</p> <p>The dataset contains fluxes calculated from headspace gas samples taken over a 24 hour period from intact soil cores, as well as corresponding environmental data. Intact soil cores (0-15 cm depth, 2.5 cm diameter) were taken at five sampling locations along a 20 m transect using a soil auger or piston corer. Samples were collected along a transect in four marsh sites in Quebec, Canada (La Pocatière: 47°22'24.7"N 70°03'26.3"W) and Louisiana, U.S. (Barataria Basin: 29°33'47.3"N 90°04'22.8"W and 29°29'52.2"N 89°55'00.2"W) from two vegetation types (<em>Sporobolus alterniflorus</em> formerly known as <em>Spartina alterniflora </em>and<em> Sporobolus pumilus</em> formerly known as<em> Spartina patens</em>). In Quebec, the two vegetation zones were in the same marsh whereas in Louisiana two separate marshes, dominated by the relevant vegetation, were chosen. Soil samples were collected on the 20-21<sup>st</sup> July 2021 from Louisiana and the 9-10<sup>th</sup> August 2021 from Quebec. Environmental data was collected including <em>in-situ</em> soil temperature and salinity, and gravimetric soil moisture, extractable soil dissolved organic carbon (DOC), extractable soil total dissolved nitrogen (TDN), extractable soil nitrate, extractable soil ammonium, extractable soil soluble reactive phosphate, soil total carbon, soil total nitrogen, soil carbon to nitrogen ratio, soil d<sup>13</sup>C and soil d<sup>15</sup>N determined from additional 0-15 cm core samples. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 838296, a NSERC Discovery Grant and a Natural Environment Research Council grant number (NE/T012323/1).</p> <p>Stable <sup>15</sup>N tracers were added to the intact soil cores so that at each location, at each treatment level (ambient and elevated, described below), there was one core receiving no tracer for greenhouse gas fluxes, one core receiving <sup>15</sup>N-NO<sub>3</sub><sup>‑ </sup>for denitrification rates and one core receiving <sup>15</sup>N-NH<sub>4</sub><sup>+</sup> for nitrification rates. The cores were incubated at ambient temperature (16 ℃ and 28.1 ℃ for Quebec and Louisiana, respectively) and nutrient concentrations (3.2 NO<sub>3</sub><sup>-</sup>, 2.0 NH<sub>4</sub><sup>+</sup>; 2.9 NO<sub>3</sub><sup>-</sup>, 2.5 NH<sub>4</sub><sup>+</sup>; 0.5 NO<sub>3</sub><sup>-</sup>, 7.3 NH<sub>4</sub><sup>+ </sup>and 5.7 NO<sub>3</sub><sup>-</sup>, 2.8 NH<sub>4</sub><sup>+</sup> mg g wet soil<sup>-1</sup> for Quebec <em>S. alterniflorus</em>, Quebec <em>S. pumilus</em>, Louisiana <em>S. alterniflorus</em> and Louisiana <em>S. pumilus</em>, respectively), and elevated temperature (ambient temperature +5 ℃) and nutrient concentration (double ambient concentration). Gas samples were collected from the headspace of 0-15 cm intact cores in a 20 cm high PVC pipe, capped at the top and bottom to create a 5 cm headspace. Gas samples were analysed for greenhouse gases (GHGs: N<sub>2</sub>O, CH<sub>4</sub>, CO<sub>2</sub>) and <sup>15</sup>N in denitrification-derived N<sub>2</sub>O, denitrification-derived N<sub>2</sub> and nitrification-derived N­<sub>2</sub>O.</p> <p>Soil temperature (YSI 30, Baton Rouge, USA or DeltaTrak 11050, Pleasanton, USA) and porewater salinity (YSI 30, Baton Rouge, USA or portable ATC refractometer) were measured in-situ or in the laboratory using the portable refactometer. Additional soil samples were used for multiple analyses; one subsample was extracted with ultrapure water (18.2 MΩ) for DOC and TDN analysis, one subsample was extracted with 2M KCl for NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup>, one subsample was extracted with Olsen-P solution (0.5 M NaHCO<sub>3</sub>, pH 8.5), for soluble reactive phosphate analysis and one subsample was weighed and dried for soil moisture and then finely ground and analysed for total carbon, total nitrogen, d<sup>13</sup>C and d<sup>15</sup>N.</p> <p>N<sub>2</sub>O, CH<sub>4</sub> and CO<sub>2</sub> concentrations were measured in the gas samples using a gas chromatograph interfaced with a PAL3 autosampler (Agilent 7890A, Agilent Technologies Ltd, USA) fitted with a flame ionisation detector (FID) for CH<sub>4</sub> analysis and a micro electron capture detector (mECD) for N<sub>2</sub>O analysis. CO<sub>2</sub> was methanised to CH<sub>4</sub> before analysis on the FID. The instrument precision as the relative standard deviation was < 5 % for all of the gases, while the minimum detectable concentration difference (MDCD) was 9 ppb N<sub>2</sub>O, 72 ppb CH<sub>4 </sub>and 31 ppm CO<sub>2</sub>. Potential GHG fluxes were calculated from the linear portion or where the highest production was observed in the concentration-time series ( https://doi.org/10.2134/jeq2003.2436). If fluxes were below the MDCD they were set to zero see (https://doi.org/10.1002/2017JG003783). The <sup>15</sup>N content of the N<sub>2</sub> and N<sub>2</sub>O was determined using a continuous flow isotope ratio mass spectrometer (Elementar Isoprime PrecisION; Elementar Analysensysteme GmbH, Hanau, Germany) coupled with a trace-gas pre-concentrator inlet with autosampler (isoFLOW GHG; Elementar Analysensysteme GmbH, Hanau, Germany), with a standard deviation of d<sup>15</sup>N < 0.05 %. Extractable dissolved organic carbon and total dissolved nitrogen were analysed in soil extractant (ultrapure water 18.2 MΩ, 7:1 of extractant to soil) on a TOC/TDN analyser (TOC VCSn + TMN-1, Shimadzu, Kyoto, Japan), with 50 mg C l<sup>-1</sup> and 10 mg l<sup>-1</sup> standards resulting in accuracy and precision of 0.3 and ±0.3 mg C l<sup>-1</sup>, and 0.5 and ±0.3 mg N l<sup>-1</sup>, respectively. Extractable nitrate+nitrite (assumed to be nitrate) and ammonium were analysed in soil extractant (2M KCl, 5:1 of extractant to soil) using a microplate reader and methods in Sims et al., 1995 (<a href="https://doi.org/10.1080/00103629509369298">https://doi.org/10.1080/00103629509369298</a>) with a limit of detection of 0.1 ppm and accuracy of ±5 %. Extractable phosphate was analysed in soil extractant (Olsen-P solution 0.5M NaHCO­<sub>3</sub>, pH 8.5, 10:1 of extractant to dry soil) using a microplate reader and methods in Jeannotte et al., 2004 (https://doi.org/10.1007/s00374-004-0760-4) with a limit of detection of 1 mg P l<sup>-1</sup> and accuracy of ±6 %. Soil total carbon, total nitrogen, d<sup>13</sup>C and d<sup>15</sup>N analysis was performed using a continuous flow isotope ratio mass spectrometer (Elementar Isoprime PrecisION; Elementar Analysensysteme GmbH, Hanau, Germany) coupled with an elemental analyser (EA) inlet (vario PYRO cube; Elementar Analysensysteme GmbH, Hanau, Germany). The precision was < 5 % for both C and N and the precision as a standard deviation was < 0.06 % for both d<sup>13</sup>C and d<sup>15</sup>N. Results from the experiments were entered into an Excel spreadsheet for ingestion into the Zenodo data repository.</p>
COLA-hires: High-resolution (0.5x0.625) regional carbon fluxes inferred from in-situ and OCO-2 data
<p>This dataset contains high-resolution CO<sub>2</sub> inversion estimate in North America, East Asia, and Europe at 0.5x0.625 resolution from 2015 to 2018 using the Carbon in Ocean-Land-Atmosphere (COLA) system. The in-situ observations obtained from NOAA obspack and the land-nadir/land-glint retrevials from OCO-2 are assimilated.</p>
The Sensitivity of Southern Ocean Air-Sea Carbon Fluxes to Background Turbulent Diapycnal Mixing Variability
<p> </p> <p>The mixing map for background diapycnal diffusivity used in the paper 'The Sensitivity of Southern Ocean Air-Sea Carbon Fluxes to Background Turbulent Diapycnal Mixing Variability' in the spatially variable mixing case ExVar.</p> <p>The ExVar map is constructed as the sum of contributions from tides and topographically-generated lee waves and features horizontal and vertical variations in a background mixing rate.</p>
Carbon, energy, and water flux data from annual and perennial agroecosystems
Open the record for dataset details and reuse information.
Data from: Tree diversity increases carbon stocks and fluxes above but not belowground in a tropical forest experiment
Open the record for dataset details and reuse information.
Tree carbon fluxes and stocks in West African cocoa plantations
Open the record for dataset details and reuse information.
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).
Dataset for: The influence of mixing on seasonal carbon dioxide and methane fluxes in ponds
Inland waters are important sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). Ponds have amongst the highest CO2 and CH4 fluxes of all aquatic ecosystems, yet seasonal variation in fluxes remain poorly characterized, creating challenges for accurately estimating annual emissions. Further, ponds can exhibit a range of mixing regimes, yet the impact of mixing regimes on gas emissions remains unclear. Here, we assessed annual dynamics of CO2 and CH4 in four temperate ponds (Minnesota, USA) that varied in mixing regimes. This dataset includes high frequency temperature data for each pond to asses mixing, and CO2 and CH4 emissions and concentrations taken by-weekly from 2021-2022.
Leaf area, biomass, carbon and nitrogen content by species for harvests taken as part of the ITEX flux survey.
Leaf area, biomass, foliar carbon and nitrogen by species for destructive vegetation harvests. 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; and at various sites in Adventdalen, Svalbard, in Zackenberg valley, Northeast Greenland, and at BEO near Barrow, Alaska. Harvests were taken during the growing seasons 2003 to 2009.
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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.