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83 results for “dissolved concentration”
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>
The role of terrestrial productivity in regulating aquatic dissolved organic carbon concentrations in boreal catchments
<p>The past decades have witnessed an increase in dissolved organic carbon (DOC) concentrations in the catchments of the Northern Hemisphere. Increases in terrestrial productivity may be a reason for the increases in DOC concentration. The aim of this study is to investigate the impacts of increased terrestrial productivity and changed hydrology following climate change on DOC concentrations. We tested and quantified the effects of gross primary production (GPP), ecosystem respiration (RE) and discharge on DOC concentrations in boreal catchments over three years. As catchment characteristics can regulate the extent of rising DOC concentrations caused by the regional or global environmental changes, we selected four catchments with different sizes (small, medium and large) and landscapes (forest, mire and forest-mire mixed). We applied multiple models: Wavelet coherence analysis detected the delay-effects of terrestrial productivity and discharge on aquatic DOC variations of boreal catchments; thereafter, the distributed-lag linear models (DLMs) quantified the contributions of each factor on DOC variations. Our results showed that the combined impacts of terrestrial productivity and discharge explained 62% of aquatic DOC variations on average across all sites, whereas discharge, GPP and RE accounted for 26%, 22% and 3%, respectively. GPP dominated the DOC variations in small catchments (<1 km<sup>2</sup>), but in large catchments, DOC variations were mainly dependent on discharge. The direction of the relation between GPP and discharge on DOC varied. Increasing RE always made a positive contribution to DOC concentration. This study demonstrated that terrestrial greening and changing hydrology caused by climate change did affect the DOC export from terrestrial to aquatic ecosystems, which improves the mechanistic understanding of surface water DOC regulation in boreal catchments under climate change.</p>
Seasonal concentrations and fluxes of dissolved, soluble, and colloidal Fe and dissolved organic matter amount and composition (DOC and PARAFAC)
<p>These datasets accompany the following manuscript:</p> <p>Logozzo, L.A.*, Hosen, J.D., McArthur, J., and Raymond, P.A. Distinct drivers of two size fractions of operationally dissolved Fe in a temperate river. Limnology and Oceanography.</p> <p>*Corresponding Author: Laura A. Logozzo, laura.logozzo@uleth.ca</p> <p>Datasets:</p> <p>1- Fe-DOM-EMMA-merged.xlsx: this dataset includes operationally dissolved (<0.22 µm), colloidal (0.02-0.22 µm), and soluble (<0.02 µm) DOC concentrations, total Fe concentrations, PARAFAC component scores <0.22 µm, and end-member mixing model scores <0.22 µm. Samples were collected approximately bi-weekly from the Connecticut River at Thompsonville from April 2018 to March 2020.</p> <p>2- Loadest-merged.xlsx: this dataset includes LOADEST-modeled daily-average and monthly-average fluxes of operationally dissolved (<0.22 µm), colloidal (0.02-0.22 µm), and soluble (<0.02 µm) Fe, DOC <0.22 µm, and allochthonous-like DOC <0.22 µm.</p> <p>All methodology is described in the accompanied manuscript.</p>
The role of terrestrial productivity in regulating aquatic dissolved organic carbon concentrations in boreal catchments
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Data from: Prediction of dissolved organic carbon concentrations in inland waters using optical proxies of aromaticity
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Dissolved CO2 and CH4 concentrations in the Connecticut River Watershed
This dataset supports the paper accepted to Limnology and Oceanography: Distinct concentration-discharge dynamics in temperate streams and rivers: CO2 exhibits chemostasis while CH4 exhibits source limitation due to temperature control Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Gerard Rocher-Ros, Lisa C. Weber, Bryan Yoon, and Peter A. Raymond
Water column dissolved (DSi) and biogenic (BSi) concentrations and fluxes collected from Sweeney (Right), West (Left) and Clubhead along with temperature, salinity, and flow data from 7/2010
Found at the landesea interface, these systems are silica replete with large stocks in plant biomass, sediments, and porewater, and therefore, have the potential to play a substantial role in the transformation and export of silica to coastal waters. In an effort to better understand this role, we measured the fluxes of dissolved (DSi) and biogenic (BSi) silica into and out of two tidal creeks in the PIE LTER salt marsh system. One of the creeks (Sweeney) has been fertilized from May to September for six years allowing us to examine the impacts of nutrient addition on silica dynamics within the marsh.
Concentrations of dissolved gases at a methane seep in the deep northern Gulf of Mexico measured with an in situ mass spectrometer (ISMS)
<p>Concentrations of dissolved methane, hydrogen sulfide, carbon dioxide and oxygen in a <em>Bathymodiolus</em> mussel bed at a methane seep in the deep northern Gulf of Mexico. The data were collected with an in situ mass spectrometer (ISMS) on May 6, 2015, during a research cruise with RV Nautilus, dive H1423. The location was site MC853, at 28.12835 (lat), -89.14100 (long), in 1080 m water depth. At this site the two mussel species <em>Bathymodiolus brooksi</em> and <em>B. childressi</em> were collected. ISMS measurements were performed before and after the removal of animals from the mussel bed.</p>
G4D-DOC: A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles
<p>Based on temperature and salinity observations from Argo floats, this dataset uses machine-learning methods to reconstruct global ocean dissolved oxygen (DO) concentrations.<br><strong>This version only provides monthly-scale netCDF format data for everyone's use. If you need other time scales, please check previous versions.</strong></p> <h2>Spatiotemporal Characteristics</h2> <ul> <li> <p><strong>Time range:</strong> 2005–2022, <strong>monthly</strong> fields.</p> </li> <li> <p><strong>Geographic range:</strong> Global oceans <strong>excluding the Arctic Ocean</strong>, from 90°S to 84°N and 180°W to 180°E.</p> </li> <li> <p><strong>Horizontal resolution:</strong> 1° × 1° (regular grid).</p> </li> <li> <p><strong>Vertical levels (26):</strong> 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1750, 1995dbar .</p> </li> </ul> <h2>Data Format & Conventions</h2> <ul> <li> <p><strong>Format:</strong> NetCDF4</p> </li> <li> <p><strong>Coordinate conventions:</strong></p> <ul> <li> <p><code>lat</code> (Y axis): 89.5 → −89.5 (descending)</p> </li> <li> <p><code>lon</code> (X axis): converted to <strong>−180 → 180</strong> (1° centers)</p> </li> <li> <p><code>depth</code>: ascending (matching the 26 target levels)</p> </li> </ul> </li> <li> <p><strong>Units:</strong> DO in <strong>μmol/kg</strong> (<code>umol kg-1</code>).</p> </li> </ul> <h2>Variables & Dimensions</h2> <ul> <li> <p><strong>Variables kept:</strong> <code>DO</code>, <code>depth</code>, <code>lat</code>, <code>lon</code> (with a single-valued <code>time</code> coordinate).</p> </li> <li> <p><strong>DO dimensions:</strong> <code>(time, depth, lat, lon)</code>.</p> </li> </ul> <h2>Filenames</h2> <ul> <li> <p><strong>Pattern:</strong> <code>G4D_DOC_YYYY_MM.nc</code><br><em>Example:</em> <code>G4D_DOC_2005_07.nc</code> contains the field for <strong>July 2005</strong>.</p> </li> </ul> <h2>Citation & Disclaimer</h2> <p>Please cite the dataset and relevant literature when using it in publications or products.<br>Recommended citation (example):</p> <blockquote> <p>Xue, C., & Wang, Z. (2025). <em>A global four-dimensional gridded dataset of ocean dissolved oxygen concentrations retrieval from Argo profiles</em> (Monthly NetCDF version). Zenodo. <a target="_new" rel="noopener">https://doi.org/</a>10.5281/zenodo.13920233</p> </blockquote> <p>The data producers are not responsible for any losses arising from data use. Map boundaries or masks do not imply official positions.</p> <h2>Contacts</h2> <ul> <li> <p><strong>Cunjin Xue</strong> — <a rel="noopener">xuecj@aircas.ac.cn</a></p> </li> <li> <p><strong>Zhenguo Wang</strong> — <a rel="noopener">zgwang24@m.fudan.edu.cn</a></p> </li> </ul>
Figure 2 in High variability in dissolved iron concentrations in the vicinity of the Kerguelen Islands (Southern Ocean)
Figure 2 Projection, differences in iliac morphology and sexual dimorphism. Projection and boxplot of all characters (A), (B) and according to their population structure (C) and sexual dimorphism (D), (E), (F). Numbers in abscissa correspond to character's number. Abbreviations: E, P. kl. esculentus; L, P. lessonae; R, P. ridibundus; LE, P. kl. esculentus within the lessonae-esculentus system; RE, P. kl. esculentus within the ridibundus-esculentus system; M, male; F, female. Measurements (right of the dotted line) and angle (on the left) are respectively in millimetres and in sexigesimal degree.
Figure 1 in High variability in dissolved iron concentrations in the vicinity of the Kerguelen Islands (Southern Ocean)
Figure 1 Measurements used on green frog's ilium. 1, length of ilium; 2, angle between tuber superior orientation and main iliac axis; 3, dorsal crest height; 4, acetabular diameter; 5, corpus thickness at the centre of the acetabulum; 6, 'iliac neck' (=smallest thickness of the crest on the corpus); 7, maximum width of the junctura ilioischiadica; 8, width of the pars ascendens.
Figure 3 in High variability in dissolved iron concentrations in the vicinity of the Kerguelen Islands (Southern Ocean)
Figure 3 Biometrical separation between central European water frogs. Projections of characters 2 and 8 (A), (B).Abbreviations: L, P. lessonae; R, P. ridibundus; LE, P. kl. P. esculentus within the lessonae-esculentus system; RE, P. kl. P. esculentus within the ridibundus-esculentus system. Measurements (in ordinate) and angle (in abscissa) are respectively in millimetres and in sexigesimal degree.
Data-set of CO2, CH4, N2O dissolved concentrations and ancillary data in surface waters of 24 African lakes.
<p>Geo-referenced and timestamped data-set of water temperature, Specific conductivity (SpCond), oxygen saturation level (%O<sub>2</sub>), dissolved methane (CH<sub>4</sub>) concentration, dissolved nitrous oxide (N<sub>2</sub>O) concentration, partial pressure of carbon dioxide (pCO<sub>2</sub>), carbon stable isotope composition of dissolved inorganic carbon (δ<sup>13</sup>C-DIC), dissolved organic carbon (DOC) concentration, chlorophyll-a (Chl-a) concentration, cyanobacteria abundance (CHEMTAX), nitrate (NO<sub>3</sub><sup>-</sup>) and ammonia concentration (NH<sub>4</sub><sup>+</sup>), coloured dissolved organic matter slope ratio (CDOM SR) in surface waters of African 24 lakes (Victoria, Tanganyika, Albert, Kivu, Edward, Mai Ndombe, Tumba, George, Kamohonjo, Alaotra, Ndalaga, Nyamusingere, Kyamwinga, Mbita, Lukulu, Yandja, Mbalukira, Nkugute, Nyamunuka, Kitagata, Mrambi, Kyashanduka, Katinda, Lac Vert).</p>
Dissolved Siderophore Concentrations Station ALOHA
<p>Dissolved (< 0.2 um) siderophore concentrations measured at Station ALOHA in different seasons.</p>
Data-set of CO2, CH4, N2O dissolved concentrations and ancillary data in 15 Ecuadorian high-altitude lakes
<p>Data-set of the dissolved concentrations of CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O and ancillary data in 15 lakes located in the northern region of Ecuadorian Andes along an elevational gradient from 2,213 to 4,361 m above sea level, as well as a gradient of lake surface area (0.003 to 6.1 km<sup>2</sup>) and depth (0.9 to 74 m) (Fig. 1). Most lakes were located in the páramos of Salve Facha and Antisana y Mojanda.</p> <p>Sampling was carried out over a period from April 2019 to March 2022, with an inflatable boat approximately in the center of the lake, during day-time only (early morning to late afternoon). Water temperature, specific conductivity, pH, and %O<sub>2</sub> were measured in surface water with a YSI multi-parameter probe (ProPlus). Water for CH<sub>4</sub> and N<sub>2</sub>O samples was collected with a sampling devise consisting of a 2L polyethylene bottle with the bottom cut and fitted with a silicone tubing at the stopper (Abril et al. 2007). Two borosilicate serum bottles (Weathon) with a volume of 40 ml were filled with the silicone tubing, poisoned with 100 µl of a saturated solution of HgCl<sub>2</sub> and sealed with a butyl stopper and crimped with an aluminium cap. Measurements were made, after over-night equilibration, on an headspace (Weiss 1981) (created by injecting 15 ml of high-purity N<sub>2</sub> into the 40 ml sample bottles), with a gas chromatograph (SRI 8610C) with a flame ionisation detector for CH<sub>4</sub> and electron capture detector for N<sub>2</sub>O calibrated with CH<sub>4</sub>:N<sub>2</sub>O:N<sub>2</sub> gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH<sub>4</sub>, and 0.2, 2.0 and 6.0 ppm for N<sub>2</sub>O. The precision of measurement based on duplicate samples was ±10.9% for CH<sub>4</sub> and ±5.8% for N<sub>2</sub>O.</p> <p>The partial pressure of CO<sub>2</sub> (pCO<sub>2</sub>) was measured in the field with a Li-Cor Li-820 infra-red gas analyser based on the headspace technique with four 60 ml polypropylene syringes that were filled directly with surface water. The pCO<sub>2</sub> in the atmosphere was measured by injecting ambient air sampled with an additional polypropylene syringe. The Li-Cor Li-820 was calibrated with pure N<sub>2</sub> and CO<sub>2</sub>:N<sub>2</sub> gas mixtures (Air Liquide Belgium) of 388, 804, 3,707 and 8,146 ppm. The final pCO<sub>2</sub> value was computed taking into account the partitioning of CO<sub>2</sub> between water and the headspace, as well as equilibrium with HCO<sub>3</sub><sup>-</sup> (Dickson et al. 2007) using water temperature measured in-situ and after equilibration, and total alkalinity (TA). The precision of pCO<sub>2</sub> measurement was ±5.2%.</p> <p>The CO<sub>2</sub> concentration is expressed as partial pressure in parts per million (ppm) and as dissolved concentration for CH<sub>4</sub> (nmol L<sup>-1</sup>), in accordance with convention in existing topical literature. Variations of N<sub>2</sub>O were modest and concentrations fluctuated around atmospheric equilibrium, so data are presented as percent of saturation level (%N<sub>2</sub>O, where atmospheric equilibrium corresponds to 100%), computed from the global mean N<sub>2</sub>O air mixing ratios given by the Global Monitoring Division (GMD) of the Earth System Research Laboratory (ESRL) of the National Oceanic and Atmospheric Administration (NOAA) (https://www.esrl.noaa.gov/gmd/hats/combined/N2O.html), using the Henry’s constant (Weiss and Price 1980).</p> <p>Samples for the stable isotope composition of DIC (δ<sup>13</sup>C-DIC) were collected in 12 ml Exetainer vials (Labco) and poisoned with 50 µL of a saturated solution of HgCl<sub>2</sub>. Prior to the analysis of δ<sup>13</sup>C-DIC, a 2 ml helium headspace was created and 100 µL of phosphoric acid (H<sub>3</sub>PO<sub>4</sub>, 99%) was added in the vial in order to convert CO<sub>3</sub><sup>2-</sup> and HCO<sub>3</sub><sup>-</sup> to CO<sub>2</sub>. After overnight equilibration, up to 1 mL of the headspace was injected with a gastight syringe into a coupled elemental analyser - IRMS (EA-IRMS, Thermo FlashHT or Carlo Erba EA1110 with DeltaV Advantage). The obtained data were corrected for isotopic equilibration between dissolved and gaseous CO<sub>2</sub> as described by Gillikin and Bouillon (2007). Calibration was performed with certified standards (NBS-19 or IAEA-CO-1, and LSVEC). Reproducibility of measurement based on duplicate injections of samples was typically better than ±0.2 ‰.</p> <p>Water was collected in surface water with a 2L polyethylene bottle. The water filtered through 47 mm diameter GF/F Whatman glass fibber filters was collected and further filtered through polyethersulfone syringe encapsulated filters (0.2 µm porosity) for nitrate (NO<sub>3</sub><sup>-</sup>), nitrite (NO<sub>2</sub><sup>-</sup>), ammonium (NH<sub>4</sub><sup>+</sup>), TA, major elements (Na<sup>+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, K<sup>+</sup>), as well as dissolved silicate (DSi) and Fe, stable isotope composition of O and H of H<sub>2</sub>O (δ<sup>18</sup>O-H<sub>2</sub>O and δ<sup>2</sup>H-H<sub>2</sub>O) and dissolved organic carbon (DOC). An additional water filtration was made on 25 mm diameter GF/F Whatman glass fibber filters for particulate organic carbon (POC) analysis.</p> <p>Samples for NO<sub>3</sub><sup>-</sup>, NO<sub>2</sub><sup>-</sup>, and NH<sub>4</sub><sup>+</sup> were stored frozen (-20°C) in 50 ml polypropylene vials. NO<sub>3</sub><sup>-</sup> and NO<sub>2</sub><sup>-</sup> were determined with the sulfanilamide colorimetric with the vanadium reduction method (American Public Health Association, 1998), and NH<sub>4</sub><sup>+</sup> with the dichloroisocyanurate-salicylate-nitroprussiate colorimetric method (Standing committee of Analysts, 1981). Detection limits were 0.3, 0.01, and 0.15 µmol L<sup>-1</sup> for NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup>, respectively. Precisions were ±0.02 µmol L<sup>-1</sup>, ±0.02 µmol L<sup>-1</sup>, and ±0.1 µmol L<sup>-1</sup> for NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup>, respectively.</p> <p>Samples for TA were stored at ambient temperature in polyethylene 55 ml vials and measurements were carried out by open-cell titration with HCl 0.1 mol L<sup>-1</sup> according to Gran (1952), and data quality checked with certified reference material obtained from Andrew Dickson (Scripps Institution of Oceanography, University of California, San Diego, USA), with a typical reproducibility better than ±3 µmol kg<sup>-1</sup>.</p> <p>Samples for δ<sup>18</sup>O-H<sub>2</sub>O and were δ<sup>2</sup>H-H<sub>2</sub>O stored at ambient temperature in polypropylene 8 ml vials. δ<sup>2</sup>H-H<sub>2</sub>O was measured on H<sub>2</sub> gas derived from a high‐temperature (1,030°C) Cr‐based reactor by automated injections of water using a TriPlus autosampler on an elemental analyzer (Thermo Flash HT/EA; Thermo Finnigan) coupled to a continuous‐flow isotope‐ratio mass spectrometer (Delta V Advantage; Thermo Finnigan). δ<sup>18</sup>O-H<sub>2</sub>O values were measured on a Thermo GasBench II coupled to a Thermo Delta XP IRMS after equilibration with CO<sub>2</sub>. The long-term uncertainty for standard δ<sup>18</sup>O values was ±0.1‰.</p> <p>Samples for major elements were stored at ambient temperature in 20 ml scintillation vials and preserved with 50 μl of HNO<sub>3</sub> (65%). Major elements were measured with inductively coupled plasma MS (ICP-MS; Agilent 7700x) calibrated with the following standards: SRM1640a from National Institute of Standards and Technology, TM-27.3 (lot 0412) and TMRain-04 (lot 0913) from Environment Canada, and SPS-SW2 Batch 130 from Spectrapure Standard. Limit of quantification was 0.5 µmol L<sup>-1</sup> for Na<sup>+</sup>, Mg<sup>2+</sup> and Ca<sup>2+</sup>, 1.0 µmol L<sup>-1</sup> for K<sup>+</sup> and 8 µmol L<sup>-1</sup> for DSi.</p> <p>Samples to determine DOC were stored at ambient temperature and in the dark in 40 ml brown borosilicate vials with polytetrafluoroethylene (PTFE) coated septa and poisoned with 50 µL of H<sub>3</sub>PO<sub>4</sub> (85%), and DOC concentration was determined with a wet oxidation total organic carbon analyzer (IO Analytical Aurora 1030W), with a typical reproducibility better than ±5%.</p> <p>Filters for POC analysis were decarbonated with HCl fumes for 4h and dried before encapsulation into silver cups; POC concentration was analysed on an EA-IRMS (Thermo FlashHT with DeltaV Advantage), with a reproducibility better than ±5%. Data were calibrated with certified (IAEA-600: caffeine) and in-house standards (leucine, tuna muscle tissue) that were previously calibrated versus certified standards.</p> <p><strong>References</strong></p> <p>Abril, G., Commarieu, M.-V., Guérin, F., 2007. Enhanced methane oxidation in an estuarine turbidity maximum. Limnol. Oceanogr. 52, 470-475. https://doi.org/10.4319/lo.2007.52.1.0470</p> <p>American Public Health Association. Standard methods for the examination of water and wastewater, (APHA, 1998).</p> <p>Dickson, A.G., Sabine, C.L., Christian, J.R., 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3, 191 pp., https://doi.org/10.25607/OBP-1342</p> <p>Gillikin, D.P., Bouillon, S., 2007. Determination of δ18O of water and δ13C of dissolved inorganic carbon using a simple modification of an elemental analyzer – isotope ratio mass spectrometer (EA-IRMS): an evaluation, Rapid Comm. Mass Spectrom. 21, 1475-1478, https://doi.org/10.1002/rcm.2968</p> <p>Gran, G., 1952. Determination of the equivalence point in potentiometric titrations Part II, The Analyst, 77, 661-671, https://doi.org/10.1039/AN9527700661.</p> <p>Standing committee of Analysts (1981). Ammonia in waters. Methods for the examination of waters and associated materials. 16 pp (HMSO, 1981).</p> <p>Weiss, R.F., Price, B.A., 1980. Nitrous oxide solubility in water and seawater. Mar. Chem. 8, 347-359. https://doi.org/10.1016/0304-4203(80)90024-9</p> <p>Weiss, R.F., 1981. Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. J. Chromatogr. Sci. 19, 611-616. https://doi.org/10.1093/chromsci/19.12.611</p>
Data from: Dissolved organic carbon modulates mercury concentrations in insect subsidies from streams to terrestrial consumers
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Measurements of dissolved inorganic concentrations of nutrient iron and of iron limitation at selected stations and depths from CalCOFI cruises in the California Current System, Nov. 2002 - July 2004 (completed)
Measurements were made of iron (Fe) and the potential for phytoplankton iron limitation on CalCOFI survey cruises (2002-2004) in coastal transition zones of the southern California Current System. This is a weak upwelling regime that is relatively low in nutrients and chlorophyll. The majority of seawater samples from the mixed layer were collected using a pole sampler, others were collected using a trace metal clean Teflon pump system. Profiles for dissolved Fe analysis were collected using GO Flo bottles attached to a synthetic line and the seawater samples were filtered under ultra-pure conditions. Dissolved Fe was measured using an FeLume flow injection analysis system. Changes in phytoplankton (Chla response to Fe+) and nutrient parameters upon iron addition were also investigated.
Coastal plain stream carbon export and dissolved oxygen concentrations across a gradient of urbanization
<p>This dataset contains carbon quality data from ten coastal plain streams in North Carolina, USA spanning a gradient of urbanization and carbon export, stream discharge, and dissolved oxygen concentration data from a subset of five streams. See the spreadsheet "metadata.csv" for information about units. Methodology and site descriptions will be made available once the manuscript using these data is published (currently in press) or by request.</p>
Fluxes and concentrations of dissolved organic carbon in soils
<p>Dissolved organic carbon (DOC) in soil solution plays roles in soil C storage and biogeochemical cycles. Factors regulating fluxes and concentrations of DOC still remain unclear. To identify the factors regulating fluxes and concentrations of DOC in the soil profiles, we compiled the data of site information [Country, Region or state, Coordinates, Vegetation, Mean annual air temperature (ºC), Climate type, Vegetation type, Mycorrhiza type, Soil (USDA, Soil Taxonomy)], soil properties [Litter pH (H<sub>2</sub>O), Soil pH (H<sub>2</sub>O), Soil C/N ratio, Clay (%), Al<sub>o</sub>+1/2Fe<sub>o</sub> (g kg<sup>-1</sup>), O horizon C stock (Mg C ha<sup>-1</sup>), Mineral soil C stock (Mg C ha<sup>-1</sup>)], fluxes and concentrations of DOC [Throughfall DOC flux (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC flux at the bottom of the O horizon (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC flux at the bottom of the B horizon (kg C ha<sup>-1</sup> yr<sup>-1</sup>), DOC concentration at the bottom of the O horizon (mg C L<sup>-1</sup>), DOC concentration at the bottom of the B horizon (mg C L<sup>-1</sup>), DOC/Dissolved organic N (DON) (O horizon), DOC/DON (B horizon), Precipitation (mm yr<sup>-1</sup>), Water flux at the bottom of the O horizon (mm y<sup>r-1</sup>), Water flux at the bottom of B horizon (mm yr<sup>-1</sup>)], plant litter properties [Litterfall C input (Mg C ha<sup>-1</sup> yr<sup>-1</sup>), C/N ratio in litter, Lignin content in litter (%), Lignin/N ratio in litter, Root litter C input (Mg C ha<sup>-1</sup> yr<sup>-1</sup>)], and DOC retention in mineral soil (%), DOC flux relative to C input (%), Contribution of DOC to C input in mineral soil (%), and Turnover time of mineral soil C (yr)].</p>
Stream and groundwater dissolved organic carbon (DOC) concentrations along a boreal headwater
<p>Dataset supporting the manuscript entitled "Groundwater flow paths drive longitudinal patterns of stream dissolved organic carbon (DOC) concentrations in boreal landscapes" published in Hydrology and Earth System Sciences. The following datasets are available:</p> <ul> <li><strong>df_Q.csv and error_Q.csv: </strong>observed discharge in l/s at gauging stations C5 and C6 (Figure 1; main manuscript) and assumed normally distributed errors for Q<sub>c5</sub> and Q<sub>c6</sub> </li> <li><strong>df_Q_gw_diff.csv, df_Q_gw_uca.csv:</strong> calculated groundwater discharge in l/s corresponding to equations (2) and (3) in the main manuscript</li> <li><strong>df_channel.csv: </strong>channel characteristics between gauging stations C5 and C6</li> <li><strong>sampling_actions.csv:</strong> sampling action ID's and corresponding dates</li> <li><strong>df_DOC_stream.csv, df_DOC_stream_prsd.csv:</strong> stream DOC concentrations in mg/l, and associated percent standard deviation (prsd)</li> <li><strong>df_DOC_gw.csv, df_DOC_gw_prsd.csv:</strong> groundwater DOC concentrations in mg/l, and associated percent standard deviation (prsd)</li> </ul>
ScienceDex guides
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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.