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539 results for “organic carbon”
Dissolved organic carbon (DOC) concentrations in glacial meltwater streams, McMurdo Dry Valleys, Antarctica (1990-2023, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic aqueous geochemical sampling program has been undertaken. A series of terrestrial water samples have been collected and analyzed for dissolved organic carbon levels. This dataset shows concentrations of dissolved organic carbon found in various streams of the McMurdo Dry Valleys.
Dissolved organic carbon (DOC) concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)
The McMurdo Long Term Ecological Research (LTER) project monitors patterns of organic material transport in perennial ice-capped lakes. This data set addresses this core area of research and quantifies dissolved organic carbon concentrations at specific depths in McMurdo Dry Valley lakes.
Stable isotope (carbon, nitrogen and sulfur) data for primary producers and consumer organisms in the Plum Island Sound Estuary.
Flora and fauna stable isotope study to help characterize organic matter/primary production sources important to the food web of the Plum Island Sound estuary. Sampling occured during 1993 and 1994.
FIG. 5 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 5. — δ13Cdistribution along the facies profile plotted for dominating taxa (latest Famennian-middle Tournaisian; Kamenka River section org
FIG. 3 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 3. — Distribution of δ13Cvalues among conodonts having different morphological types of P1 elements. Scale bar: 0.1 mm. org
FIG. 2 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 2. — Lithology, biostratigraphy, and facies distribution of the Kamenka River section (Pechora Craton). Legend: 1, limestone; 2, clayey limestone; 3, clay; 4, cherty nodules; 5, flat lamination; 6, wavy lamination.
FIG. 1 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin
FIG. 1. — Localization of the sites under consideration: A, Generalized map of Eastern Europe; rectangles mark the localities: 1, Pechora Craton; 2, Voronezh Anteclise (Kamenka Quarry and Russkiy Brod Quarry sections); 3, Ilmen Lake region (Chudovo section, Syas River section, Ilmen Lake borehole 8, Ilmen Lake section); 4, Chimbulat Quarry. B, Map of Pechora Craton; C, Scheme of outcrops' position in the Kozhva River basin.
Data from: Soil organic carbon stability in forests: distinct effects of tree species identity and traits
Rising atmospheric CO2 concentrations have increased interest in the potential for forest ecosystems and soils to act as carbon (C) sinks. While soil organic C contents often vary with tree species identity, little is known about if, and how, tree species influence the stability of C in soil. Using a 40‐year‐old common garden experiment with replicated plots of eleven temperate tree species, we investigated relationships between soil organic matter (SOM) stability in mineral soils and 17 ecological factors (including tree tissue chemistry, magnitude of organic matter inputs and their turnover, microbial community descriptors, and soil physico‐chemical properties). We measured five SOM stability indices, including heterotrophic respiration, C in aggregate‐occluded particulate organic matter (POM) and mineral‐associated SOM, and bulk SOM δ15N and ∆14C. The stability of SOM varied substantially among tree species and this variability was independent of the amount of organic C in soils. Thus, when considering forest soils as C sinks, the stability of C stocks must be considered in addition to their size. Further, our results suggest tree species regulate soil C stability via the composition of their tissues, especially roots. Stability of SOM appeared to be greater (as indicated by higher δ15N and reduced respiration) beneath species with higher concentrations of nitrogen and lower amounts of acid‐insoluble compounds in their roots, while SOM stability appeared to be lower (as indicated by higher respiration and lower proportions of C in aggregate‐occluded POM) beneath species with higher tissue calcium contents. The proportion of C in mineral‐associated SOM and bulk soil ∆14C, though, were negligibly dependent on tree species traits, likely reflecting an insensitivity of some SOM pools to decadal‐scale shifts in ecological factors. Strategies aiming to increase soil C stocks may thus focus on particulate C pools, which can more easily be manipulated and are most sensitive to climate change.
Arctic Rivers Dissolved Organic Carbon River Export Analysis
<p>This repository has data for the estimation of dissolved organic carbon and colored dissolved organic carbon in the 6 Great Arctic Rivers. The data has been derived from the arcticgreatrivers.org repository for use in the USGS LOADEST model https://water.usgs.gov/software/loadest/ to predict river mass load as a function of measured discharge. The *_discharge.dat files contain the river discharge data from arcticgreatrivers.org and each *.tar directory with the river's name contain the output file from the LOADEST model with 100 model runs each for each parameter defined below. The netcdf file ArcticRivers_CarbonTrends.nc contains all of the LOADEST model prediction ensembles and mean/total seasonal values used in the trend analysis.</p> <p>DOC=Dissolved organic carbon (mg/L)</p> <p>CDOC=Colored dissolved organic carbon (mg/L)</p> <p>S1=CDOM absorption spectral slope between 275-295 nm (1/nm)</p> <p>S2=CDOM absorption spectral slope between 350-400 nm (1/nm)</p> <p>a300 = CDOM absorption at 300 nm (1/m)</p> <p>There is also a file River_CDOM_PUB.mat that is a MATLAB data structure with the data used to construct the LOADEST model input files.</p> <p>Dr. J. Blake Clark should be contacted at bclark@umbc.edu with any specific questions.</p>
Quantification of soil organic carbon: the challenge of biochar-induced spatial heterogeneity
<p>R-script and output from model on spatially discrete biochar application and its influence on representative SOC sampling. An additional document to explain the data curation is also available ("Comment on Data curation").</p><p> </p>
Soil organic carbon loss decreases biodiversity but stimulates multitrophic interactions that promote belowground metabolism
<p>Soil organic carbon (SOC) plays an essential role in mediating community structure and metabolic activities of belowground biota. Unraveling the evolution of belowground communities and their feedback mechanisms on SOC dynamics helps embed the ecology of soil microbiome into carbon cycling, which serves to improve biodiversity conservation and carbon management strategy under global change. Here, croplands with a SOC gradient were used to understand how belowground metabolisms and SOC decomposition were linked to the diversity, composition, and co-occurrence networks of belowground communities encompassing archaea, bacteria, fungi, protists, and invertebrates. As SOC decreased, the diversity of prokaryotes and eukaryotes also decreased, but their network complexity showed contrasting patterns: prokaryotes increased due to intensified niche overlap, while that of eukaryotes decreased possibly because of greater dispersal limitation owing to the breakdown of macro aggregates. Despite the decrease in biodiversity and SOC stocks, the belowground metabolic capacity was enhanced as indicated by increased enzyme activity and decreased enzymatic stoichiometric imbalance. This could, in turn, expedite carbon loss through respiration, particularly in the slow-cycling pool. The enhanced belowground metabolic capacity was dominantly driven by greater multitrophic network complexity and particularly negative (competitive and predator-prey) associations, which fostered the stability of the belowground metacommunity. Interestingly, soil abiotic conditions including pH, aeration, and nutrient stocks, exhibited a less significant role. Overall, this study reveals a greater need for soil C resources across multitrophic levels to maintain metabolic functionality as declining SOC results in biodiversity loss. Our researchers highlight the importance of integrating belowground biological processes into models of SOC turnover, to improve agroecosystem functioning and carbon management in the face of intensifying anthropogenic land-use and climate change.</p>
Data from: Mechanisms underpinning the net removal rates of dissolved organic carbon in the global ocean
<p>With almost 700 Pg of carbon, marine dissolved organic carbon (DOC) stores more carbon than all living biomass on Earth combined. However, the environmental controls behind the persistence and the spatial patterns of DOC concentrations on basin scale remain largely unknown, precluding quantitative assessments of the fate of this large carbon pool in a changing climate. We present the first global dynamic DOC model in agreement with more than 40,000 DOC observations, in which a feedback between DOC and picoheterotrophs is explicitly included (model of MICrobial-DOC interactions, MICDOC). This dataset contains model output and related information for a global model simulation in which a colimitation of macronutrients and organic carbon on microbial DOC uptake is implemented and explains >70% of the global variation of observed DOC concentrations. It provides the model output, source code and meta data for the simulations performed for the publication (doi: 10.1029/2023GB007912) "Mechanisms Underpinning the Net Removal Rates of<br>Dissolved Organic Carbon in the Global Ocean" by Lennartz et al.</p>
Fluxes of particulate organic carbon, nitrogen and mass from the Station M abyssal time series in the northeast Pacific, (1989-2022)
<p>Overview:</p> <p>This dataset provides particulate fluxes to Station M in the NE Pacific, from 1989 to 2022. Samples were collected with McLane Parflux sequencing sediment traps deployed on moorings. Data are provided for traps 50 m above bottom and 600 m above bottom, with deployment bottom depths ranging from approximately 3900 m to 4500 m. Gaps reflect lapses in funding, weather disruptions, clogs in sediment traps, or the occasional spilled sample. Where available, GPS coordinates and ship-recorded bottom depth at deployment location are given. Where these are not available, approximate location and depth are given and noted.</p> <p> </p> <p>Methods:</p> <p>This program used McLane Parflux sequencing sediment traps. Attempts to avoid sediment trap clogs, which increasingly became an issue, included replacing manufacture-supplied plastic funnels with Teflon-coated fiberglass funnels (October 2014), doubling the size of sediment trap collection cups (from 250 ML to 500 ML starting in October 2014), and adding a function that periodically agitated material in the funnel constriction (starting in June 2015).</p> <p>Before deployment, sediment trap cups were acid-washed and filled with a preservative (mercuric chloride from 1989 to 2009, 3%–5% buffered formalin from 2009 to 2022). Formalin brine recipe followed that recommended by McLane. Following sample recovery, zooplankton that many have swum into the traps were identified visually and manually removed (KLS). Samples were returned to the lab, freeze-dried, and weighed to calculate mass flux. The freeze-dried sample was analyzed for inorganic carbon content using a coulometer (UIC), and total carbon, hydrogen, and nitrogen using an elemental analyzer (Perkin-Elmer or Exeter Analytical, University of California Santa Barbara Marine Science Institute Analytical Laboratory). Dry mass was corrected for salt content using a AgNO<sub>3</sub> titration (<a href="https://www.sciencedirect.com/science/article/pii/S0967064519302395#bib99">Strickland and Parsons, 1972</a>). Data [mass flux, particulate organic carbon flux, and total nitrogen flux] from the 600 mab trap were used. Gaps in this data set were infilled using the linear relationship between data from the 600 mab and 50 mab traps. Full details of these methods can be found in Baldwin et al. (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GL101018#grl65243-bib-0002">1998</a>).</p> <p>Data provided have been quality-controlled, and only usable data are included here.</p> <p> </p> <p>References:</p> <p>Baldwin, R. J., Glatts, R. C., & Smith Jr, K. L. (1998). Particulate matter fluxes into the benthic boundary layer at a long time-series station in the abyssal NE Pacific: composition and fluxes. Deep Sea Research Part II: Topical Studies in Oceanography, 45(4-5), 643-665.</p> <p>Strickland, J.D.H., Parsons, T.R. (1972) A Practical Handbook of Seawater Analysis. Fisheries Research Board of Canada, Ottawa </p> <p>Smith, K. L., Huffard, C. L., & Ruhl, H. A. (2020). Thirty-year time series study at a station in the abyssal NE Pacific: An introduction. <em>Deep Sea Research Part II: Topical Studies in Oceanography</em>, <em>173</em>, 104764.</p>
Transformation Rate Maps of Dissolved Organic Carbon in the Contiguous U.S.
<p>We develop two new maps of the dissolved organic carbon (DOC) transformation rate (\(P_r\)) over the contiguous United States. Those maps are derived by combining the USGS riverine DOC observations, soil organic carbon (SOC) data from two sources—HWSD v1.2 and SoilGrids 2.0, and the watershed characteristics from two existing datasets medium-resolution NHDplus and ScienceBase, and state-of-the-art machine learning techniques. </p>
scmcclelland/joint-mediation-study: Data, Analysis, and Figure Scripts for "Soil organic carbon sequestration jointly-mediated by plants and microbes after compost application"
<p>This repository contains data, analysis, and figure scripts to create findings from the manuscript "Soil organic carbon sequestration jointly-mediated by plants and microbes after compost application" currently under minor revisions.</p> <p>This release includes updated code, primarily improvements to figures, and a new script for a supplementary map figure.</p>
Riverine truly dissolved, colloidal, and operationally dissolved ferric iron, dissolved organic carbon, UV-vis absorbance at 254 and 412 nm, and specific UV absorbance (SUVA) at 254 nm
<p>This dataset is attached to the following article:</p> <p>Logozzo, L.A., Martin, J.W., McArthur, J., Raymond, P.A. Contributions of Fe(III) to UV-vis absorbance in river water: A case study on the Connecticut River and argument for the systematic tandem measurement of Fe(III) and CDOM. <em>Biogeochemistry</em> <strong>160</strong>: 17–33 (2022). https://doi.org/10.1007/s10533-022-00937-5</p> <p>This dataset includes concentrations of ferric iron, Fe(III), and dissolved organic carbon (DOC) along with UV-vis absorbance at 254 nm and 412 nm on the operationally dissolved size fraction (<0.22 μm), as well as the truly dissolved (<0.02 μm) and colloidal (0.02-0.22 μm) size fractions. Samples were collected every two weeks at five sites along the Connecticut River mainstem from 2018 to 2020 and at 7 sites in the Connecticut River watershed sampled once synoptically during the summer 2019.</p>
Influences of the 1855 AD Huanghe (Yellow River) Relocation on Sedimentary Organic Carbon Burial in the Southern Yellow Sea
<p>This is the original data used in the manuscript titled "Influences of the 1855 AD Huanghe (Yellow River) Relocation on Sedimentary Organic Carbon Burial in the Southern Yellow Sea" which has been accepted by Frontiers in Marine Science. The data is from a box-core HH12 recovered from the southern Yellow Sea (123.50°E, 35.00°N; core length: 48 cm; water depth: 77 m; time span: ~300 yr). This excel includes depth, year, TOC, TN, biomarkers and other proxy record.</p> <p>Full Article at: <a href="https://www.frontiersin.org/articles/10.3389/fmars.2022.824617/full">https://www.frontiersin.org/articles/10.3389/fmars.2022.824617/full</a></p>
Data from: Sedimentary organic carbon and nitrogen sequestration across a vertical gradient on a temperate wetland seascape including salt marshes, seagrass meadows and rhizophytic macroalgae beds
<p>Dataset </p> <p> </p> <p>Coastal wetlands are key in regulating coastal carbon and nitrogen dynamics and contribute significantly to climate change mitigation and anthropogenic nutrient reduction. We investigated organic carbon (OC) and total nitrogen (TN) stocks and burial rates at four adjacent vegetated coastal habitats across the seascape elevation gradient of Cádiz Bay (South Spain), including one species of salt marsh, two of seagrasses, and a macroalgae. OC and TN stocks in the upper 1 m sediment layer were higher at the subtidal seagrass <em>Cymodocea nodosa</em> (72.3 Mg OC ha<sup>-1</sup>, 8.6 Mg TN ha<sup>-1</sup>) followed by the upper intertidal salt marsh <em>Sporobolus maritimus</em> (66.5 Mg OC ha<sup>-1</sup>, 5.9 Mg TN ha<sup>-1</sup>), the subtidal rhizophytic macroalgae <em>Caulerpa prolifera</em> (62.2 Mg OC ha<sup>-1</sup>, 7.2 Mg TN ha<sup>-1</sup>), and the lower intertidal seagrass <em>Zostera noltei</em> (52.8 Mg OC ha<sup>-1</sup>, 5.2 Mg TN ha<sup>-1</sup>). The sedimentation rates increased from lower to higher elevation, from the intertidal salt marsh (0.24 g cm<sup>-2</sup> yr<sup>-1</sup>) to the subtidal macroalgae (0.12 g cm<sup>-2</sup> yr<sup>-1</sup>). The organic carbon burial rate was highest at the intertidal salt marsh<em> </em>(91 ± 31 g OC m<sup>-2</sup> yr<sup>-1</sup>), followed by the intertidal seagrass, (44 ± 15 g OC m<sup>-2</sup> yr<sup>-1</sup>), the subtidal seagrass (39 ± 6 g OC m<sup>-2</sup> yr<sup>-1</sup>), and the subtidal macroalgae (28 ± 4 g OC m<sup>-2</sup> yr<sup>-1</sup>). Total nitrogen burial rates were similar among the three lower vegetation types, ranging from 5 ± 2 to 3 ± 1 g TN m<sup>-2</sup> yr<sup>-1</sup>, and peaked at <em>S. maritimus </em>salt marsh with 7 ± 1 g TN m<sup>-2</sup> yr<sup>-1</sup>. The contribution of allochthonous sources to the sedimentary organic matter also decreased with elevation, from 72% in <em>C. prolifera</em> to 33% at <em>S. maritimus</em>. Our results highlight the need of using habitat-specific OC and TN stocks and burial rates to improve our ability to predict OC and TN sequestration capacity of vegetated coastal habitats at the seascape level. We also demonstrated that the stocks and burial rates in <em>C. prolifera </em>habitats were within the range of well-accepted blue carbon ecosystems such as seagrass meadows and salt marshes.</p>
Supporting data sets for "Estimating Carbon Fixation of Plant Organs for Afforestation Monitoring using a Process-based Ecosystem Model and Ecophysiological Parameter Optimization". (the survey of tree breast diameter and tree height in 11-year old Eucommia ulmoides plantation, values of simulation results used in figures and tables.)
<p>Supporting data sets for Miyauchi et al., Ecology and Evolution, 2019 (accepted).</p> <p>The files store: </p> <p>(1) The survey of tree breast diameter and tree height in <em>Eucommia ulmoides</em> plantation<em>.</em> The ring and stem analysis and dry weight of seven harvested sample trees in the plantation.</p> <p>(2) Values of optimization result used fig.7.</p> <p>(3) Values of prediction result used fig.8. and table 4.</p> <p>(4) Values of optimized parameters by optimization methods, parameter range and constrain.</p>
Total data for global pattern of organic carbon pools in forest soil
<p>Understanding the mechanisms of soil organic carbon (SOC) sequestration in forests is vital to ecosystem carbon budgeting, and helps gain insight in the functioning and sustainable management of world forests. An explicit knowledge of the mechanisms driving global SOC sequestration in forests is still lacking because of the complex interplays between climate, soil and forest type in influencing SOC pool size and stability. Based on a synthesis of 1179 observations from 292 studies across global forests, we quantified the relative importance of climate, soil property and forest type on total SOC content and the specific contents of physical (particulate vs. mineral-associated SOC) and chemical (labile vs. recalcitrant SOC) pools in upper 10 cm mineral soils, as well as SOC stock in the O horizons. The variability in the total SOC content of the mineral soils was better explained by climate (47~60%) and soil factors (26%~50%) than by NPP (10~20%). The total SOC content and contents of particulate (POC) and recalcitrant SOC (ROC) of the mineral soils all decreased with increasing mean annual temperature because SOC decomposition overrides the C replenishment under warmer climate. The content of mineral-associated organic carbon (MAOC) was influenced by temperature, which directly affected microbial activity. Additionally, the presence of clay and iron oxides physically protected SOC by forming MAOC. The SOC stock in the O horizons was larger in the temperate zone and Mediterranean regions than in the boreal and sub/tropical zones. Mixed forests had 64% larger SOC pools than either broadleaf or coniferous forests, because of i) higher productivity, and ii) litter input from different tree species resulting in diversification of molecular composition of SOC and microbial community. While climate, soil and forest type jointly determine the formation and stability of SOC, climate predominantly controls the global patterns of SOC pools in forest ecosystems.</p>
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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.