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23 results for “dissolved inorganic carbon”

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edi60/100

Water samples collected for dissolved inorganic carbon and nutrient analysis during tidal creek lateral exchange measurements approximately every 15 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.

Measurement of the lateral exchange of nutrients, sediment, and carbon in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora and high-elevation marsh dominated by Spartina patens located in Rowley, MA.

openCC (other)Jun 2025View details →
edi52/100

Metabolism estimates from dissolved oxygen and inorganic carbon in the Judith River Watershed, MT, USA, 2019-2021.

This dataset provides necessary supporting data and models for the manuscript titled "Stream corridor structure drives patterns in lateral inorganic carbon inputs and CO2 emissions in agricultural headwaters". The entire dataset consists of sensor data, alkalinity and metabolism estimates from oxygen and carbon models, collected in three reaches located in the Judith River Watershed, MT. The sensor data include partial pressure of carbon dioxide in water, dissolved oxygen and temperature. At each reach, we established a two station approach, meaning two pairs of sensor suits were distributed upstream and downstream. In addition to data products, we also provide R packages for metabolism models.

openCC0Aug 2025View details →
edi52/100

Survey of dissolved inorganic carbon (DIC) and dissolved oxygen (DO) along the Duplin River in 2014

A transect measure of inorganic carbon and oxygen level at 12 equidistant stations along the Duplin Rvier were conducted at sunrise, sunset and next sunrise for each season in 2014 in order to estimate the air-water exchange, longitudinal mixing and metabolism of the Duplin River ecosystem.

openCustomJan 2020View details →
edi52/100

Anchor sampling of inorganic carbon (DIC) and dissolved oxygen (DO) at the flux tower tidal creek in the Duplin River

An anchor sampling of DIC and DO level at the mouth of a first order creek of the Duplin was conducted seasonally in order to estimate the metabolism and CO2/O2 dynamics of water when it floods the marsh where the GCE LTER project operates an eddy covariance tower.

openCustomJan 2020View details →
edi48/100

Accession numbers for radiocarbon and stable carbon isotopes of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) in soil leachates from permafrost soils collected from the North Slope of Alaska in the summers of 2018 and 2022

Leachates of dissolved organic carbon (DOC) from permafrost soils were prepared from soils collected from the North Slope of Alaska in 2018 and 2022. Soil leachates were then either kept in the dark or exposed to light from LEDs at 305 nm (UV) and 405 nm (visible), and then inoculated with native microbial communities and incubated. At the start of the biological incubations, single replicates of the DOC after dark or light treatment and inoculation were assigned accession numbers and analyzed for 14C and 13C at the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility. At the end of the biological incubations, duplicates of the dissolved inorganic carbon (DIC) in those waters were assigned accession numbers and analyzed for 14C and 13C at the NOSAMS facility.

openCC (other)Dec 2023View details →
edi48/100

Concentration of dissolved inorganic carbon (DIC) and del 13C isotope value for lakes and rivers on North Slope from Brooks Range to Prudhoe Bay, Arctic LTER 1988 to 1989.

Concentration of dissolved inorganic carbon (DIC) and del 13C isotope value for lakes and rivers on North Slope from Brooks Range to Prudhoe Bay, Arctic LTER 1988 to 1989.

openCC (other)Jan 2020View details →
edi48/100

Dissolved inorganic carbon (DIC) concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

The McMurdo Long Term Ecological Research (LTER) project monitors patterns of inorganic material transport in perennial ice-capped lakes. This data set addresses this core area of research and quantifies dissolved inorganic carbon concentrations at specific depths in McMurdo Dry Valley lakes. Dissolved inorganic carbon is also necessary for the computation of primary productivity.

openCC (other)Feb 2025View details →
edi48/100

Dissolved inorganic carbon and alkalinity of discrete water column samples, collected aboard Palmer LTER annual cruises of the Western Antarctic Peninsula, 1993 - 2019.

Dissolved inorganic carbon (DIC or total CO2 – TCO2) and total alkalinity (TALK) are two of the four parameters defining the carbonate system in seawater. DIC is composed of dissolved CO2 gas, which dissociates into carbonate, 〖CO〗_3^(2-), and bicarbonate, 〖HCO〗_3^- in seawater. About 90% of the DIC is in the form of bicarbonate, ~10% is carbonate, and ~1% is CO2. The dissociation of CO2 dissolved in seawater into carbonate and bicarbonate gives seawater its great capacity to absorb CO2 from the atmosphere. Alkalinity (also known as “buffer capacity”) is a measure of the capacity of water to neutralize acids. Alkalinity is a complex product of the concentrations of (in decreasing order of importance) the DIC components, borate, hydroxide, phosphate, silicate and dissolved ammonium. Ocean biology regulates the alkalinity through the uptake and release of the DIC and the macronutrients N, P and Si. We measure surface DIC and ALK to understand the exchange of CO2 across the air-sea interface in our study area. With DIC and dissolved CO2, we can also derive estimates of ocean pH and thus monitor the extent and evolution of ocean acidification. Analytical methods and QC are presented under the Methods and Protocols tab.

openCC (other)Feb 2022View details →
edi44/100

Metabolism estimates from dissolved oxygen and inorganic carbon in the Upper Clark Fork River, MT, USA.

This package provides necessary supporting data and models for the manuscript titled "Divergent metabolism estimates from dissolved oxygen and inorganic carbon: implications for river carbon cycling". The entire dataset consists of sensor data collected at three reaches and metabolism estimates from different models. The sensor data include partial pressure of carbon dioxide in water, dissolved oxygen and temperature. At each reach, we established a two station approach, meaning at least one pair of sensor suits were distributed upstream and downstream. Results for metabolism estimates differ by solutes (i.e., oxygen or carbon based) and modelling approaches (i.e., single station or two station approach). In addition to data products, we also provide R packages for metabolism models.

openCC (other)Mar 2024View details →
zenodo40/100

Dissolved noble gas abundances and inorganic carbon isotopes from Palouse Basin groundwater wells

<p>This data set (.xlsx) contains sampling details and geochemical measurements from 17 groundwater wells in the Palouse Basin (Washington and Idaho, USA). Below is an overview of what each individual tab within the Excel workbook contains:</p> <p>(1) Sample information (coordinates, name, sampling date, and temperature and pH recorded during sampling)</p> <p>(2) Dissolved noble gas abundances (neon, argon, krypon, and xenon)</p> <p>(3) Dissolved inorganic carbon (DIC), radiocarbon activity of DIC and apparent groundwater age, and stable carbon isotope ratio (d13C) of DIC</p> <p>&nbsp;</p> <p>Anyone is welcome (and encouraged) to use these data, but please cite the following publications:&nbsp;</p> <p>Tyne et al., Hidden flux of lithospheric volatiles in shallow groundwater. (submitted)</p> <p>Seltzer et al., Fossil groundwater reveals aquifer sensitivities to climate stress. (submitted).</p>

opencc-by-4.0Jul 2024View details →
edi40/100

Pre-labeled dissolved inorganic carbon, carbon dioxide, and methane from experiemental plots near Toolik Lake, AK from 2000

Dissolved inorganic carbon, carbon dioxide, and methane in waters from pre-labeled wet sedge plots near Toolik Lake, AK during the summer of 2000.

openOpenDec 2015View details →
edi40/100

Pre-labeled dissolved inorganic carbon, carbon dioxide, and methane from experiemental plots near Toolik Lake, AK from 2001

Dissolved inorganic carbon, carbon dioxide, and methane in waters from pre-labeled wet sedge plots near Toolik Lake, AK during the summer of 2001.

openOpenDec 2015View details →
edi40/100

Pre-labeled dissolved inorganic carbon, carbon dioxide, and methane from experiemental plots near Toolik Lake, AK from 2003

Dissolved inorganic carbon, carbon dioxide, and methane in waters from pre-labeled wet sedge plots near Toolik Lake, AK during the summer of 2003.

openOpenDec 2015View details →
edi40/100

Pre-labeled dissolved inorganic carbon, carbon dioxide, and methane from experiemental plots near Toolik Lake, AK from 2005

Dissolved inorganic carbon, carbon dioxide, and methane in waters from pre-labeled wet sedge plots near Toolik Lake, AK during the summer of 2005.

openOpenDec 2015View details →
edi40/100

Pre-labeled dissolved inorganic carbon, carbon dioxide, and methane from experiemental plots near Toolik Lake, AK from 2006

Dissolved inorganic carbon, carbon dioxide, and methane in waters from pre-labeled wet sedge plots near Toolik Lake, AK during the summer of 2006.

openOpenDec 2015View details →
edi40/100

Concentration of dissolved inorganic carbon (DIC), carbon and nitrogen concentrations, C:N ratios and del 13C isotope value for lakes and rivers on North Slope from Brooks Range to Prudhoe Bay, Arctic LTER 1988 to 2005

Composite file describing plant, animal, water, and sediment samples collected at various sites near Toolik Research Station (68 38&#039;N, 149 36&#039;W). Sample site descriptors include an assigned number specific to the file, a number that relates the samples to other samples collected on the same date and time (sortchem), site, date, time, and depth. Samples are identified by type, category, and a short description. Data include isotope values, carbon and nitrogen concentrations, and C:N ratios of samples.

openOpenDec 2015View details →
edi36/100

Stream Chemistry / Dissolved Inorganic Carbon

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 inorganic carbon levels. This dataset shows concentrations of dissolved inorganic carbon found in various streams of the McMurdo Dry Valleys.

openOpenJan 2020View details →
zenodo32/100

Surface-to-bottom data of total alkalinity, total inorganic carbon, pH and dissolved oxygen in the subpolar North Atlantic along the CLIVAR 59.5N hydrographic section during 2009-2019.

<p>Contact: magdalena.santana@ulpgc.es; melchor.gonzalez@ulpgc.es; david.curbelo@ulpgc.es</p><p>______________________________</p><p><strong>1. Introduction</strong></p><p>The dataset comprises physical and carbonate system data collected during eight summer cruises (2009-2019) along the meridional hydrographic CLIVAR 59.5N section. This repeated section covered the longitudinal span of the subpolar North Atlantic at 59.5ºN between Scotland and Greenland (4.5-43.0ºW), encompassing the Irminger and Iceland basins, and the Rockall Trough. Sampling stations were equidistantly spaced every 20 n.m. apart (~1/3º longitude) in most cruises, with exceptions in 2016 where station spacing was decreased to 10 n.m. over Reykjanes Ridge slopes. Notably, the distance between stations over the east Greenland slope and shelf decreased from 10 n.m. to about 2 n.m. The dataset provided here is the result of an international collaboration between researchers from the P. P. Shirshov Institute of Oceanology at the Russian Academy of Science and the QUIMA-IOCAG group from the ULPGC. The cruise ID, dates, research vessels and chief scientist of each cruise (2009, 2010, 2011, 2012, 2013, 2014, 2016 and 2019) are summarized as follows:</p><p><i><strong>Year&nbsp;&nbsp;&nbsp;&nbsp; Cruise ID&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Date&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Research Vessel (R/V)&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Chief Scientist</strong></i></p><p>2009&nbsp;&nbsp;&nbsp;&nbsp; AI28&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Aug 15-Sept 27&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A. Sokov</p><p>2010&nbsp;&nbsp;&nbsp;&nbsp; AI31&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sep 2-Sep 27&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A. Sokov</p><p>2011&nbsp;&nbsp;&nbsp;&nbsp; SV33&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sep 9-Sep 28&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Akademik Sergey Vavilov&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A. Sokov</p><p>2012&nbsp;&nbsp;&nbsp;&nbsp; AI38&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; May 25-Jul 1&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; S. Gladyshev</p><p>2013&nbsp;&nbsp;&nbsp;&nbsp; AI41&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Jun 26-Jul 23&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; S. Gladyshev</p><p>2014&nbsp;&nbsp;&nbsp;&nbsp; AI44&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Jun 27-Jul 20&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; S. Gladyshev</p><p>2016&nbsp;&nbsp;&nbsp;&nbsp; AI51&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Jun 3-Jul 13&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Akademik Ioffe&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; S. Gladyshev</p><p>2019&nbsp;&nbsp;&nbsp;&nbsp; AMK77&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Aug 8-Sep 10&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Akademik Mstislav Keldysh&nbsp;&nbsp;&nbsp;&nbsp; S. Gladyshev</p><p><strong>2. Data collection: measurements and determination methodologies</strong></p><p>The surface-to-bottom sampling and in situ measurements were performed by using a SBE 911plus CTD with SBE32 Carousel containing 24 Niskin bottles (10 L) with additional sensors for pressure, temperature, salinity and dissolved oxygen (DO). The Chief Scientists (Alexey Sokov and Sergey Gladyshev,&nbsp;supported by FMWE-2023-0002) were&nbsp;responsible for the operational and maintenance procedures for the CTD and provided the physical variables (temperature, salinity, depth and bottom depth) for all the cruises and the sensor-measured DO for the cruise of 2019, all of them included in this dataset.&nbsp;The use of these data for scientific purposes is subject to request and granted only upon prior contact to A. Sokov and/or S. Gladyshev.</p><p>The dataset includes high-quality CO2 measurements obtained through a standardized analytical methodology applied across hydrographic cruises. The procedures adhere to the DOE method manual for CO2 analysis in seawater by Dickson et al., 2007. Seawater samples were onboard analysed for total alkalinity (AT), total inorganic carbon (CT), pH and dissolved oxygen (DO) determination. The QUIMA-IOCAG group from the ULPGC was responsible for the seawater sampling and chemical variables determination (CO2 system variables in all the cruises and WINKLER-measured dissolved oxygen from 2009 to 2016). &nbsp;The use of these data for scientific purposes is subject to request and granted only upon prior contact to any of the dataset authors.</p><p><strong>&nbsp; &nbsp; &nbsp;2.1. Total Alkalinity (AT) and Total Inorganic Carbon (CT)</strong></p><p>Total alkalinity (AT) and total inorganic carbon (CT) were determined onboard using a VINDTA 3C according to Mintrop et al., 2000. AT was analyzed via potentiometric titration with HCl, following the carbonic acid endpoint method (Millero et al., 1993; Dickson and Goyet, 1994), while CT was determined through coulometric titration (Johnson et al., 1993). In-situ calibration of the VINDTA 3C using Certified Reference Material (CRMs) by A. Dickson ensured accuracy of ±1.5 μmol kg-1 for AT and ±1.0 μmol kg-1 for CT.</p><p><strong>&nbsp; &nbsp; &nbsp;2.2. pH</strong></p><p>Spectrophotometric pH measurements were conducted between 2009 and 2016 at a constant temperature of 15ºC (pH15). The measurements utilized a spectrophotometric pH sensor (SP101-SM) developed by the QUIMA-IOCAG group at the ULPGC in collaboration with SensorLab (González-Dávila, 2014; González-Dávila et al., 2016). The method employs 4-wavelength analysis for m-cresol purple, incorporates auto-cleaning steps, and performs a blank for pH calculation post-dye injection. In-situ testing with a TRIS seawater buffer confirmed an accuracy of ±0.002 units, and a correction of +0.0047 units was applied to experimental pH values based on DelValls and Dickson, 1998, which reported an uncertainty associated with TRIS calibration.</p><p>The pH at in situ temperature (pH) was computed by using the CO2SYS programme developed by&nbsp;Lewis and Wallace, (1998) and run with the MATLAB software (van Heuven et al., 2011; Orr et al., 2018; Sharp et al., 2023) from the measured AT and pH15. The pH at in situ temperature for the cruise of 2019, in which direct pH measurements were not performed, was computed from the measured AT and CT.</p><p><strong>&nbsp; &nbsp; &nbsp;2.3. Dissolved Oxygen (DO)</strong></p><p>The WINKLER method, initially introduced by Winkler (1888) and subsequently optimized by Carpenter (1965) and Carrit and Carpenter (1966), was employed to analytically determine dissolved oxygen (DO) in seawater samples across all cruises from 2009 to 2016. During sample collection, seawater samples for DO determination were carefully collected in pre-calibrated glass wide-neck bottles to prevent bubble formation, and the water temperature was recorded at the time of sampling. Titration was performed using a Metrohm 888 Titrando and 794 Basic Titrino, operated with Tiamo software and a potentiometric electrode, as outlined by Culberson and Huang (1987). Thiosulfate standardization occurred every two days using a KIO3 0.01N solution. The reagents and solutions for DO determination were prepared following procedures by Dickson and Goyet (1994), with regular blank determinations every two days to control for possible impurities. As DO could not be analytically measured during the cruise of 2019 (due to limitations related with the oceanographic cruise plan), sensor-measured DO data were included in this dataset for this year.</p><p><strong>3. Dataset content</strong></p><p>The dataset includes the following variables:&nbsp;</p><ul><li>"cruise" (year of the cruise).</li><li>"cruise_ID" (ID of each cruise).</li><li>"date" (date of the day in which half of the cruise was completed).</li><li>"station" (ID of each sampling station).</li><li>"lon" (longitude in decimal degrees).</li><li>"lat" (latitude in decimal degrees).</li><li>"niskin" (number of each niskin bottle obtained from the bottle dataset).</li><li>"depth" (depth of each sample in meters, m).</li><li>"bottomdepth" (depth of the bottom in meters, m).</li><li>"temp" (temperature in ºC).</li><li>"sal" (salinity).</li><li>"pH15" (measured pH at a constant temperature of 15ºC, in total scale).</li><li>"pH" (pH at in situ temperature, in total scale).</li><li>"CT" (total inorganic carbon, in mmol m-3).</li><li>"AT" (total alkalinity, in mmol m-3).</li><li>"DO" (Dissolved Oxygen, in mmol m-3).</li></ul><p><strong>Acknowledgement</strong></p><p>The participation on the cruises for the Spanish Team from the ULPGC was funded by the Science Spanish Ministry under the Complimentary Actions CTM2008-05255, CTM2010-09514-E and CTM2011-12984-E (years 2009-2011), the FP7 European project CARBOCHANGE under grant agreement no. 264879 and by the Spanish Innovation and Science Ministry through the Projects EACFe (CTM2014-52342-P) and ATOPFe (CTM2017-83476-P).&nbsp;The participation of DCH was funded by the PhD grant PIFULPGC-2020-2 ARTHUM-2.&nbsp;Special thanks go to the technician and researchers Adrian Castro Álamo (2 cruises), Anna Barrera Galderique (3 cruises), Rayco Alvarado Medina (2 cruises) and Pilar Aparicio Rizzo (1 cruise) who helped with in situ analysis. We also thanks technicians at the P. P. Shirshov Institute of Oceanology from the Russian Academy of Science for their onboard help with sampling and analysis works. We are deeply grateful to A. Sokov and S. Gladyshev from the P. P. Shirshov Institute of Oceanology from the Russian Academy of Science for invite the QUIMA-IOCAG group (ULPGC) to participate in the 8 cruises between 2009 and 2019 and provide CTD data.</p>

opencc-by-sa-4.0Dec 2023View details →
zenodo32/100

Nutrients, alkalinity (AT), dissolved inorganic carbon (CT) and trace elements in Kongsfjorden, Svalbard July 2020

<p>Original data set for <strong>&lsquo;&lsquo;The Influence of Glaciers on Biogeochemical Cycles of Carbon, Nutrients and Trace Elements in Arctic Fjord Systems&lsquo;&lsquo; </strong>contributing to <span>European Union&rsquo;s Horizon 2020 research and innovation program under Grant Agreement No. 86938.&nbsp;</span>&nbsp;</p> <p>Data includes basic information (sample name, date, coordinates, depth), primary water column parameters (salinity, temperature, turbidity), dissolved (&lt;22 &micro;m) trace elements (dAl, dV, dFe, dMn, dCo, dNi, dCu, dZn, dCd, dPb), dissolved (&lt;22 &micro;m) nutrients (nitrate, nitrite, silicate, phosphate) and carbonate system parameters (alkalinity and dissolved inorganic carbon) for each sample.</p> <p>&nbsp;</p>

embargoedcc-by-4.0Jun 2024View details →
zenodo32/100

Simulations of dissolved inorganic carbon at a karst catchment (Chenqi) in southwest China

<p>This dataset includes the input and output files for the simulation of dissolved inorganic carbon at a karst&nbsp;catchment (Chenqi) in southwest China. The&nbsp;watershed-scale reactive transport model (RTM) BioRT-Flux-PIHM was&nbsp;used to run the simulation.</p>

opencc-by-4.0Sep 2023View details →

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