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83 results for “dissolved concentration”
Dissolved organic carbon concentrations for seasonal synoptic sampling of 100 urban streams in Salt Lake City, Utah (USA) from 2022-2023
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 100 urban stream locations in the greater Salt Lake City, Utah metropolitan area. Samples were collected four times (July 2022, October 2022, February 2023, and May 2023) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations for seasonal synoptic sampling of 93 urban streams in Atlanta, Georgia (USA) from 2021-2022
This dataset contains dissolved organic carbon concentrations from surface water samples collected at 93 first- to fifth-order streams in the Altamaha, Chattahoochee, and Flint Watersheds draining a gradient of urban land use in the greater Atlanta, Georgia metropolitan area. Samples were collected four times (September 2021, December 2021, March 2022, and July 2022) to capture spatial and seasonal variation in DOC concentrations. Filtered stream samples were analyzed for dissolved organic carbon concentration. These data were collected as part of the Carbon in Urban Rivers Biogeochemistry (CURB) Project. Detailed field data and site data are published separately and can be linked using the “curbid” and “synoptic_event” columns in each dataset.
Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017
Dissolved organic carbon concentrations were measured over a period of 4 decades in a 3rd-order reach of White Clay Creek, a stream with a forested riparian zone in the Southeastern Pennsylvania Piedmont. Stream water was filtered through pre-combusted glass fiber filters and analyzed in a variety of dissolved organic carbon analyzers. The data have been used to investigate organic matter biogeochemistry and the role of dissolved organic matter in supporting heterotrophic metabolism in the stream.
Measurements, from CCE LTER process cruises in the California Current region, of dissolved inorganic concentrations of nutrient iron and of iron limitation at selected stations and depths, 2006 - 2021 (ongoing).
Measurements are made of dissolved iron, total iron and the potential for phytoplankton iron limitation on CCE LTER Process cruises (since 2006, ongoing) in coastal transition zones of the southern California Current System. This is a weak upwelling regime that is relatively low in nutrients and chlorophyll. Changes in phytoplankton (Chla response to Fe+) and nutrient parameters upon iron addition are also investigated.
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.
15-minute measurements of water temperature, dissolved carbon dioxide, and air carbon dioxide concentration in 10 New Hampshire and Massachusetts streams, 2015-2020.
Water temperature, dissolved carbon dioxide, and air carbon dioxide were measured at 10 streams and rivers in New Hampshire and northeast Massachusetts during snow-free periods (roughly April to November) at 15-minute intervals, from 2015 to 2020. Five sites were part of the New Hampshire EPSCoR High Intensity Aquatic Network, three sites are part of the Plum Island Ecosystems LTER, and two sites are part of long-term monitoring projects of the Oyster River watershed near Durham, NH.
Dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) during the Austral Summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) Legs 1-3. Water samples were collected from the underway seawater supply every 3 hours, preserved and analysed for dissolved inorganic nutrient concentrations using flow injection and colorimetric methods. These samples provide an estimate of the dissolved concentrations of inorganic macronutrients essential for phytoplankton growth.</p> <p><strong>Dataset contents</strong></p> <ul> <li>README.txt, metadata, text</li> <li>data_file_header.txt, metadata, text</li> <li>ace_uw_nutrients_20200527CURRSGCMR.csv, data file, comma-separated values</li> <li>change_log.txt, metadata, text</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - changed order of authors in publication and citation in README</p> <p>v1.0 - initial release of dataset</p>
Dissolved nitric oxide concentrations and other parameters measured in the Lower Elbe Estuary and the Hamburg Port Area during the RV Ludwig Prandtl Cruise in July 2021
<p>The Elbe River's high nutrient loads and phytoplankton biomass contribute to the complex nutrient turnover processes in the Elbe Estuary, especially within the Port of Hamburg. This campaign aims to investigate the nitrogen turnover processes and nitrous oxide and nitric oxide production in the Elbe Estuary and the Port of Hamburg from 26 to 29 July 2021. Surface water samples were collected on board the RV <em>Ludwig Prandtl</em> using a FerryBox flow-through system. The system, which draws water from approximately 2 meters below the surface through a membrane pump, continuously measured in situ biogeochemical parameters, including dissolved oxygen, pH, salinity, and water temperature. Discrete water samples were collected every 20 minutes for nutrient analysis, chlorophyll a, and dissolved nitric oxide (NO) following established collection, preservation, and storage protocols (Schulz et al., 2022; Norbisrath et al., 2022). Furthermore, nitrous oxide (N2O) concentrations were measured continuously using laser-based off-axis integrated cavity output spectroscopy (OA_ICOS) coupled with a water/gas equilibrator. Additionally, wind speeds at a height of 10 meters were recorded using a MaxiMet GMX600 weather station. Triplicate NO samples were analyzed within 20 minutes of collection, adhering to the method outlined by Lutterbeck and Bange (2015).</p>
Winter dissolved and particulate nickel concentrations along 30 deg E transect, Southern Ocean: GEOTRACES GIPr07 cruise
<p>The data describes the depth profiles of seawater concentrations of dissolved nickel (dNi, 0.2 µm filtered seawater) and particulate nickel (pNi, collected on 0.45 µm pore size filter) along the 30 deg E transect in the Indian sector of Southern Ocean. </p> <p>The output data of an Optimum Multiparameter Analysis (OMP) is also included. The goal of the OMP was to calculate the water mass fractions at each discreet sample location. Six water masses were considered, Subantarctic Surface Water (SASW), Antarctic Intermediate Water (AAIW), North Atlantic Deep Water (NADW), Upper Circumpolar Deep Water (UCDW), Lower Circumpolar Deep Water (LCDW) and Antarctic Bottom Water (AABW). Samples with depths <200 m and/or temperature >10°C were excluded from the analysis to avoid the influence of surface biological processes on nutrient concentrations. Water masses were defined by endmember compositions of temperature, salinity, oxygen, nitrate, phosphate and silicate sourced from property-property plots. A linear fit regression model was used to predict the endmember dNi concentrations of water masses, and then reconstruct the dNi concentrations by direct multiplication of water mass fractions with their endmember compositions. Therefore, the OMP can be used to assess whether the dNi distributions can be reconstructed by water mass mixing without invoking other processes. The O2 deficit (calculated as the difference between measured and predicted O2 concentrations) was used to estimate the amount of remineralization that occurred relative to the endmember composition based on the Redfield ratio. Assuming the O2 deficits were solely attributed to remineralization of sinking phytoplankton cells, the amount of remineralized dNi was estimated by extending the Redfield ratio to include Ni, and based on estimates of phytoplankton cellular pNi:pP quotas from the literature.<br>The uncertainties of water mass contributions in the OMP analysis were estimated by summing the residuals of temperature, salinity, oxygen, and nutrients scaled by their weights.</p>
Data-set of the partial pressure of CO2, dissolved concentrations of CH4, N2O, NO3-, NO2- and NH4+, specific conductivity and water temperature in the rivers and streams of the Napo River basin in Ecuador (2018, 2019, 2020, 2021)
<p>Data-set consists of two files:</p> <p>- data_ghgs.xlsx : Time-stamped and georeferenced data-set of the partial pressure of CO2 (pCO2 in ppm), dissolved CH4 concentration (CH4 in nmol/L), dissolved N2O concentration (N2O in nmol/L), specific (Sp.) conductivity (in µS/cm), water temperature (in °C), dissolved nitrate concentration (NO3- in µmol/L), dissolved nitrite concentration (NO2- in µmol/L), and dissolved ammonia concentration (NH4+ in µmol/L) in the rivers and streams of the Napo River basin in Ecuador (October 2018 and 2019, January 2019 and 2020, April 2019 and 2021, July 2019 and 2020). Gas measurements were made by headspace equilibration directly in the field with a infra-red gas analyser for CO2 and in the lab with a gas chromatograph for CH4 and N2O. NO3-, NO2- and NH4+ were measured with standard colometric procedures. Sampling and analytical protocols are provided here <a href="https://doi.org/10.5194/bg-16-3801-2019">https://doi.org/10.5194/bg-16-3801-2019</a></p> <p>- RiverATLAS.xlsx: hydro-environmental data for the sampled streams extracted from RiverATLAS (https://www.nature.com/articles/s41597-019-0300-6). Data codes and units are available here: https://data.hydrosheds.org/file/technical-documentation/HydroATLAS_TechDoc_v10_1.pdf</p> <p>First column of each of the two files provides station ID allowing to merge both data-sets.</p>
Concentrations of dissolved dimethyl sulfide (DMS), methanethiol and other trace gases in context of microbial communities from the temperate Atlantic to the Arctic Ocean
<p>This archive contains bioinformatic code and data files to reproduce bacterial analyses from Gros et al. (<em>Biogeosciences; </em>https://doi.org/10.5194/bg-2022-150). In this study, seawater samples collected along an Atlantic-Arctic transect (55-80°N) were evaluated for microbial community composition and trace gas concentrations. Microbes were sampled underway using "AUTOFIM" automatic filtration; and bacterial communities amplicon-sequenced using 16S rRNA gene primers. Raw sequence data is available at ENA under BioProject PRJEB50492.</p> <p>The archive contains:<br> - Rmarkdown for primer-clipping, ASV generation and taxonomy assignment: 1_DADA.Rmd<br> - Rscript for ASV and metadata processing; alpha-diversity calculations: 2_DataLoad.R<br> - Rscript for generation of manuscript figures: 3_Results.R<br> - Rscript for generation of supplementary figures: 4_Supplement.R<br> - Metadata and environmental parameters as .txt files</p>
Dissolved trace metal depth profile concentrations from the North Pacific Ocean Gradients 3 (KM1906) spring 2019 cruise
<p>This dataset contains dissolved trace metal depth profiles collected in the North Pacific Ocean in spring of 2019 on the KM1906 Gradients 3 cruise (Chief Scientist E. Virginia Armbrust). The project was funded by the Simons Collaboration on Ocean Processes and Ecology Gradients program (SCOPE award 426570SP to SGJ). The samples were collected by trace metal clean rosette. Data were produced at the University of Southern California Marine Trace Elements Lab run by Prof. Seth G. John. Briefly, the metals were preconcentrated using an Elemental Scientific Inc. SeaFast automated robot, detected by Element 2 ICP-MS and quantified using isotope dilution as described in Hawco et al. 2020. <em>GCA</em> <a href="https://doi.org/10.1016/j.gca.2020.05.005">https://doi.org/10.1016/j.gca.2020.05.005</a>. All concentrations are dissolved (<0.2um SUPOR filter) and reported as nmol/L. </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>
Dissolved gas concentrations in Cuenca river systems (Ecuador) in 2018
Rivers act as a natural source of greenhouse gases (GHGs). However, anthropogenic activities can largely alter the chemical composition and microbial communities of rivers, consequently affecting their GHG production. To investigate these impacts, we assessed the accumulation of CO2, CH4, and N2O in an urban river system (Cuenca, Ecuador). The study area is located at the Cuenca River basin situated in the southern province of Azuay in the Andes of Ecuador. The basin is composed of five main tributaries, i.e. Cuenca, Tarqui, Yanuncay, Tomebamba, and Machangara Rivers. The study area is 572.92 km2, representing 25% of the Cuenca River basin. A sampling campaign was conducted in September 2018. During this period, samples were collected from 9.00 to 18.00. 36 sites were sampled in the Cuenca river basin, splitting into the five basins covering the whole urban river area as well as the river sources. Besides assessing the dissolved concentrations of CO2, CH4, and N2O, we also gathered physiochemical, hydro-morphological, and meteorological data. Specifically, water temperature, pH, dissolved oxygen (DO), turbidity, total dissolved solid (TDS), and chlorophyll a were determined by a handheld multiprobe (Aquaread-AP5000 version 4.07). Calibration was performed prior to sampling and supplemented with a regular check after sampling. Water samples from all sampling sites were collected and stored in cool and dark containers and then preserved in a refrigerator before being analyzed for other variables in the Water and Soil Quality Analysis Laboratory at Cuenca University. Particularly, ammonium (NH4+), nitrite (NO2-), nitrate (NO3-) and orthophosphate (PO43-) were determined spectrophotometrically (low-range Hach test kits with Hach DR3900). Moreover, water samples were kept frozen until shipment to Belgium for further analyses, i.e. biochemical oxygen demand (BOD5), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP). Details of the Hach kits can b
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'N, 149 36'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.
Measurements, from CCE LTER process cruises in the California Current region, of total dissolvable inorganic concentrations of the nutrient iron, 2017 - (ongoing).
Seawater profiles or discrete samples for total dissolvable iron (TDFe) analysis are collected with the trace metal rosette or GO-FLO bottles, respectively, in stations located within the CCE LTER region in the California Current System. The total dissolvable iron concentration is obtained by collecting unfiltered seawater samples in 250 mL LDPE bottles and storing them at pH 1.8 for 6 months or more. The acidified seawater sample is then filtered using acid cleaned 0.4 um PES membrane Titan 3 syringe filters and determined by flow injection chemiluminescent (FI-CL) analysis at Scripps Insitution of Oceanography since 2017 (ongoing).
McMurdo Dry Valleys Lake Bonney Autonomous Lake Profiler and Samplers (ALPS): Dissolved CO2 Concentrations
Knowledge of the McMurdo Dry Valley (MDV) lakes is limited by winter access, a period which is most relevant in understanding the habitability of other icy worlds and critical to understanding the overall function of these lakes. Owing to the lack of winter access, data that normally require human presence are incomplete. Our goal was to conduct the first year-round investigation of the biogeophysics of these unique lakes. An important part of the McMurdo Long Term Ecological Research (LTER) is evaluating carbon and nitrogen budgets in perennial ice-covered lakes. This data set addresses this core area of research and quantifies the dissolved CO 2 concentrations found at specific depths in McMurdo Dry Valley lakes.
McMurdo Dry Valleys Dissolved Inorganic Nitrogen Concentrations in Lakes
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 nitrogen concentrations at specific depths in McMurdo Dry Valley lakes.
SBC LTER: Beach: Data to support "Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches"
These data describe measures of excretion from talitrid amphipods (Megalorchestia corniculata) fed giant kelp (Macrocystis pyrifera) blades and incubated in a series of mesocosms during May 2018. Data are contained in one table: time series of mesocosm porewater nutrient concentrations measured twice daily for approximately one week (two full trials included in this dataset). This dataset is to support the article: Lowman, H. E., Emery, K. A., Kubler-Dudgeon, L., Dugan, J. E., & Melack, J. M. (2019). Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches. Estuarine, Coastal and Shelf Science. https://doi.org/10.1016/j.ecss.2019.02.004
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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)
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DANDI Archive for NWB datasets
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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.