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138 results for “dissolved organic carbon”
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.
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>
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>
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>
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>
Dataset for the paper submitted for peer-review with the title "Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model"
<p>The proposed dataset is related to the following article submitted for peer review:</p> <p>Hasanyar, M., Flipo, N., Romary, T., Wang, S. (2023), Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model, UNDER PEER-REVIEW</p> <p>It consists of command files for the prose-pa0.74 software available here: https://gitlab.com/prose-pa/prose-pa </p> <p>To run the model :</p> <p>1. Compile prose-pa0.74</p> <p>2. Copy the executable in the current directory</p> <p>3. In a terminal launch</p> <p>> ./prose-pa0.74 simulation.COMM test.log</p> <p>The “simulation.COMM” holds the settings for the ProSe-PA simulation related to the paper mentioned in the front head of the current file. </p> <p>The information on different parameters of “simulation.COMM” are included in “bathymetrie”, “Cmds”, “Inflows”, “layers”, “meteo”, “o2_obs”, “param_bio”, “Reaches” and “Singularities” folders.</p> <p>The “bathymetrie” folder holds the geometric information of several cross-sections along the river. </p> <p>The Cmds folder holds the “simulation.COMM” file. </p> <p>The “Inflows” folder the information about the boundary condition inflows to the river such as discharge, concentration of organic carbon, etc.</p> <p>The layer folder holds data of the initial conditions of the model (Table 2 in the article).</p> <p>The “meteo” folder holds the meteorological information.</p> <p>The “o2_obs” folder holds the observed oxygen data needed to do data assimilation. </p> <p>The “param_bio” folder holds information on the physiology of bacteria, phytoplankton, and other model species.</p> <p>The “Reaches” folder holds information about river reaches and their manning coefficient. </p> <p>The “param_range” file holds the variation range of model parameters considered in data assimilation together with their perturbation percentage.</p> <p>The output files are written in $HOME/Outputs folder. It is possible to change it directly in simulation.COMM, last entry “Output_folder”.</p>
Binned dissolved organic carbon (DOC), dissolved organic nitrogen (DON), and dissolved organic phosphorus (DOP) concentration observations in the ocean
<p>Here we provided binned dissolved organic carbon (DOC), dissolved organic nitrogen (DON), and dissolved organic phosphorus (DOP) concentration observations in the ocean used for manuscript "Global patterns of surface ocean dissolved organic matter stoichiometry " submitted to Global Biogeochemical Cycles.</p> <p>DOC and DON concentrations observations are from a compilation of DOM data obtained from global ocean observations from 1994 to 2021 (Hansell et al., 2021, https://doi.org/10.25921/s4f4-ye35)</p> <p>DOP concentration observations are from the DOPv2021 database (Liang et al., 2022, https://doi.org/10.1038/s41597-022-01873-7)</p> <p>We binned the data into the OCIM2 grid with a resolution of 2˚x2˚ with 24 vertical layers. More info about OCIM2 grid can be found on <a href="https://tdevries.eri.ucsb.edu/models-and-data-products/">https://tdevries.eri.ucsb.edu/models-and-data-products/</a></p>
Radiocarbon and del 13C was determined on dissolved organic carbon collected from Imnavait Creek 1990 and 1991.
Del 13C was determined on dissolved organic carbon from Imnavait Creek water collected from the fourth pond upstream of the Imnavait Creek flume in 1990 and 1991. Radiocarbon was determined on a sample in each year.
Dissolved organic carbon, phosphate, and ammonium from experiemental plots near Toolik Lake, AK from 2005
Dissolved organic carbon, SRP, and ammonium in waters from tussock tundra and wet sedge plots near Toolik Lake, AK during the summer of 2005 .
Physical site characteristics for the ARCSS/TK stream dissolved organic carbon biodegradability (2011) data set.
The (ARCSSTK) did extensive research during 2009-2011 field seasons in Arctic Alaska. The objective of this data set was to measure the quantity and biodegradability of DOC from headwater streams and rivers across three geographic regions and across four natural ‘treatments’ (reference; thermokarst-; burned-, and thermokarst + burned-impacted streams) to evaluate which factors most strongly influence DOC quantity and biodegradablity at a watershed scale. This table provides physical site characteristics for the locations sampled for stream water biodegradability.
ARCSS/TK stream dissolved organic carbon biodegradability (2011).
The (ARCSSTK) did extensive research during 2009-2011 field seasons in Arctic Alaska. The objective of this data set was to measure the quantity and biodegradability of DOC from headwater streams and rivers across three geographic regions and across four natural ‘treatments’ (reference; thermokarst-; burned-, and thermokarst + burned-impacted streams) to evaluate which factors most strongly influence DOC quantity and biodegradablity at a watershed scale.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Dissolved Organic Carbon 2007-2017
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 have dissolved organic carbon concentrations and radiocarbon ages changed over interannual and seasonal time? How do DOC concentrations correlate with environmental variables, such as precipitation, thaw depth, water table depth, and soil temperatures? This dataset contains dissolved organic carbon (DOC) concentrations and radiocarbon values from streams draining a permafrost research site at Eight Mile Lake, AK. Several sampling years include multiple annual sampling dates, while other years include only one sampling date. Not every location was sampled every year, and not every parameter was measured every year. The dataset will continue into 2017 but whether it will be maintained after that year is unknown.
Riparian study of dissolved organic carbon at the Coweeta Hydrologic Laboratory from 1993 to 2001
None Available. Researcher has not submitted information.
Fluxes of dissolved organic carbon from the Shark River Slough, Everglades National Park (FCE), South Florida from May 2001 to September 2014
DOC fluxes calculated from DOC concentrations measured monthly at SRS5 (LT_ND_Grahl_002) and tidally filtered discharge measured at USGS gage 252230081021300. These data are published in Long-term environmental drivers of DOC fluxes: Linkages between management, hydrology and climate in a subtropical coastal estuary (DOI 10.1016/j.ecss.2016.09.017)
SBC LTER: REEF: Exudation of dissolved organic carbon by the giant kelp Macrocystis pyrifera
We estimated rates of DOC exudation by Macrocystis pyrifera using short-term (2-4 hours) in situ incubations of entire blades and portions of stipes in the kelp forest at Mohawk Reef near Santa Barbara, California, USA (34o 23.660’ N, 119o 43.800’ W). Incubations of blades were conducted within 2 m of the sea surface at midday on eight dates between October 2007 and August 2011 to investigate the effects of blade growth stage, nutrient status (as indicated by C:N ratio determined using an Exeter Analytical CE-440 CHN/O/S elemental analyzer), epiphyte load, sea surface irradiance, and sea surface temperature on rates of DOC release from intact blades.
Radiocarbon content of carbon dioxide, methane, dissolved organic carbon and particulate organic carbon from the northern permafrost region and other studies
<p>The dataset includes <sup>14</sup>C measurements of CO<sub>2</sub>, CH<sub>4</sub>, DOC and POC mostly from the northern permafrost region. Some other studies are included from sites not underlained by permafrost. The dataset focuses on <sup>14</sup>C measurements of gaseous soil emissions and waterborne ecosystem C fluxes but the database also included C forms belowground, such as soil gases and pore water DOC. </p>
Data from: Leaching losses of dissolved organic carbon and nitrogen from agricultural soils in the upper US Midwest
<p>Leaching losses of dissolved organic carbon (DOC) and nitrogen (DON) from agricultural systems are important to water quality and carbon and nutrient balances but are rarely reported; the few available studies suggest linkages to litter production (DOC) and nitrogen fertilization (DON). In this study we examine the leaching of DOC, DON, NO<sub>3</sub><sup>-</sup>, and NH<sub>4</sub><sup>+</sup> from no-till corn (maize) and perennial bioenergy crops (switchgrass, miscanthus, native grasses, restored prairie, and poplar) grown between 2009 and 2016 in a replicated field experiment in the upper Midwest U.S. Leaching was estimated from concentrations in soil water and modeled drainage (percolation) rates. DOC leaching rates (kg ha<sup>-1 </sup>yr<sup>-1</sup>) and volume-weighted mean concentrations (mg L<sup>-1</sup>) among cropping systems averaged 15.4 and 4.6, respectively; N fertilization had no effect and poplar lost the most DOC (21.8 and 6.9, respectively). DON leaching rates (kg ha<sup>-1 </sup>yr<sup>-1</sup>) and volume-weighted mean concentrations (mg L<sup>-1</sup>) under corn (the most heavily N-fertilized crop) averaged 4.5 and 1.0, respectively, which was higher than perennial grasses (mean: 1.5 and 0.5, respectively) and poplar (1.6 and 0.5, respectively). NO<sub>3</sub><sup>-</sup> comprised the majority of total N leaching in all systems (59-92%). Average NO<sub>3</sub><sup>-</sup> leaching (kg N ha<sup>-1</sup> yr<sup>-1</sup>) under corn (35.3) was higher than perennial grasses (5.9) and poplar (7.2). NH<sub>4</sub><sup>+</sup> concentrations in soil water from all cropping systems were relatively low (<0.07 mg N L<sup>-1</sup>). Perennial crops leached more NO<sub>3</sub><sup>-</sup> in the first few years after planting, and markedly less after. Among the fertilized crops, the leached N represented 14-38% of the added N over the study period; poplar lost the greatest proportion (38%) and corn was intermediate (23%). Requiring only one third or less of the N fertilization compared to corn, perennial bioenergy crops can substantially reduce N leaching and consequent movement into aquifers and surface waters.</p>
Antagonistic effects of temperature and dissolved organic carbon on fish growth in California mountain lakes
<p>Resources and temperature play major roles in determining biological production in lake ecosystems. Lakes have been warming and 'browning' over recent decades due to climate change and increased loading of terrestrial organic matter. Conflicting hypotheses and evidence have been presented about whether these changes will increase or decrease fish growth within lakes. Most studies have been conducted in low-elevation lakes where terrestrially derived carbon tends to dominate over carbon produced within lakes. Understanding how fish in high-elevation mountain lakes will respond to warming and browning is particularly needed as warming effects are magnified for mountain lakes and treeline is advancing to higher elevations. We sampled 21 trout populations in the Sierra Nevada Mountains of California to examine how body condition and individual growth rates, measured by otolith analysis, varied across independent elevational gradients in temperature and dissolved organic carbon (DOC). We found that fish grew faster at warmer temperatures and higher nitrogen (TN), but slower in high DOC lakes. Additionally, fish showed better body condition in lakes with higher TN, higher elevation and when they exhibited a more terrestrial δ13C isotopic signature. The future warming and browning of lakes will likely have antagonistic impacts on fish growth, reducing the predicted independent impact of warming and browning alone.</p>
Predicted lake dissolved organic carbon at a global scale
<p>The pool of dissolved organic carbon (DOC), is one of the main regulators of the ecology and biogeochemistry of inland water ecosystems, and an important loss term in the carbon budgets of land ecosystems. We used a novel machine learning technique and global databases to test if and how different environmental factors contribute to the variability of <em>in situ</em> DOC concentrations in lakes. In order to estimate DOC in lakes globally we predicted DOC in each lake with a surface area larger than 0.1 km<sup>2</sup>. Catchment properties and meteorological and hydrological features explained most of the variability of the lake DOC concentration, whereas lake morphometry played only a marginal role. The predicted average of the global DOC concentration in lake water was 3.88 mg L<sup>-1</sup>. The global predicted pool of DOC in lake water was 729 Tg from which 421 Tg was the share of the Caspian Sea. The results provide global-scale evidence for ecological, climate and carbon cycle models of lake ecosystems and related future prognoses.</p>
Dissolved organic carbon concentrations, pH and conductivity of water flowing from eroding and restored peatland catchments
<p>Water was collected from gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl). </p> <p><span>At Balmoral DOC concentrations were measured from water flowing through six v-notch weirs. Three weirs measured drainage from mini catchments that had undergone restoration and three measured drainage from<span> </span>degraded mini-catchments with multiple upstream erosion gullies and bare peat. Restoration at this site included reprofiling and vegetating (turving) of peat haggs, bunding using coir logs to ‘slow the<span> </span>flow’ and encourage </span><em><span>Sphagnum</span></em><span> growth, and mulching of areas of bare peat with locally sourced vegetation.</span></p> <p><span>The six V-notch weirs conforming to British Standard 3680:Part 4A:1981 </span><span>(British Standards Institute, 1981)</span><span> were constructed from 18 mm marine plywood. Initially 90</span><span>°</span><span>, 65 l s<sup>-1</sup>, V-notch plates cut from 1 mm aluminium plate were fitted. Weirs were installed at sites identified in the experimental design phase. Each weir was embedded into the peat by 20cm vertically and 20-40cm horizontally and supported by two posts embedded 60-80cm into the peat. Where required the weirs were extended to ensure that there were no leaks between the bank and the weir. A stilling well equipped with a capacitive water logger was installed at each weir. The stilling wells were manufactured from 800 mm long, 43 mm diameter, ABS waste pipe tubing. After a period of evaluation (November 2020 – May 2021) the 90</span><span>°</span><span>, 65 l/s, V-notch plates were replaced with 28.4</span><span>°</span><span>, 15 l s<sup>-1</sup> plates in order to improve low-flow (<6cm head) accuracy. The water loggers were set to record water levels every 10 minutes. Raw data was downloaded every 6 months and processed in a Python script using the BS 3680 formula.</span></p> <p><span><span>Water samples were taken from each weir (if water was present behind the weir on the sampling day)<span> </span>over a two year period from September 2021 to September 2023<span> </span>After samples are delivered to the laboratory the protocol for wet chemistry analysis follows the protocol of the National Water Inventory of Scotland (NWIS) project. pH, conductivity and turbidity were then measured on all samples before a 100ml subsample was filtered through a 0.45 </span><span>µ</span><span>m membrane. The remaining unfiltered sample is stored in a cold room and the filter membrane was retained, air dried and stored in plastic bags, for potential further analysis. The filtered water was analysed for DOC on a Skalar TOC analyser (Norcross, USA). </span></span></p>
ScienceDex guides
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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.