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294 results for “inorganic”
Vegetative biomass production under different inorganic nitrogen forms of the USDA rice (Oryza sativa L.) diversity panel 1
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Aridity drives the response of soil organic carbon and inorganic carbon to drought in cropland
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Data from: Inorganic N addition replaces N supplied to switchgrass (Panicum virgatum) by arbuscular mycorrhizal fungi
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Behaviour of dissolved inorganic salts in the cooling water of a nuclear power plant open recirculation system and formation of water discharge
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Spatial and temporal variation in toxicity and inorganic composition of hydraulic fracturing flowback and produced water
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Regime shift in secondary inorganic aerosol formation and nitrogen deposition in the rural US
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Inorganic nutrient dynamics in the lower Indian Bend Wash watershed: period 2002-2003
This survey set was designed to evaluate the degree to which the various stream and lake segments in the lower portion of Indian Bend Wash acted as sources or sinks for dissolved inorganic nutrients ( SRP, NO3, and NH4 . Complete surveys of the study reach were conducted on 23 dates in 2002 and 19 dates in 2003. Surveys were approximately monthly during winter and more frequent during summer, with survey frequency increasing directly after floods. In addition to complete surveys, a subset of points was also sampled during 6 flood events. Sample locations included inlets and outlets of all lakes between the outlet of L-1 and the outlet of L-8, plus additional inlet and outlet sites for other hydrologic inputs and off-channel components of the system.
Direct and indirect effects of increased bedload on algal and detrital-based stream food webs at the Coweeta Hydrologic Laboratory from 1997 to 1999: Tile/ sediment addition experiment, Summer 1997; Chlorophyll, AFDM, inorganics (days 5-40)
Anthropogenic sedimentation poses a significant threat to stream ecosystems throughout the world. Increases in bedload (sediment transported and deposited on the stream bottom) can be especially detrimental for benthic communities. To examine how increased bedload directly and indirectly affects stream communities, we simultaneously manipulated sediment and top-down effects of macroconsumers (fishes and crayfish) in situ in two factorial experiments, one using tiles and one using leaf packs as sampling substrates. Bedload was increased by adding small amounts of sediment (2.5 x normal levels) to localized areas (0.25 m2) of an otherwise unimpacted stream. This increase in bedload had direct effects on basal resources in both the tile and leaf pack experiments. In the tile experiment algal composition was altered by sediment addition, while in the leaf pack experiment fungal biomass declined with sediment.
Stream Chemistry / Dissolved Inorganic Nitrogen
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 nitrogen levels. This dataset shows concentrations of dissolved inorganic nitrogen found in various streams of the McMurdo Dry Valleys.
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.
Organic and Inorganic Nutrients in the North Pacific from the 2016 cruise KOK1606 (Gradients 1)
<p>Data on organic and inorganic nutrients in unfiltered seawater that was sampled aboard the Gradients 1 cruise (KOK1606) in April/May 2016 along a transect from Hawaii to 37 degrees north along a longitude of 158 degrees west. Seawater was collected into HDPE or polypropylene bottles and immediately frozen. Silicate, phosphate, nitrate+nitrite and ammonium are determined colormetrically on a SEAL Analytical Autoanalyzer (AA3 with HR detectors), with the exception of nitrate+nitrite that is <0.5umol/L, which is analyzed by chemiluminescence. Total organic carbon is determined by combustion on a Shimadzu TOC-V analyzer.</p>
113Cd Solid-State NMR at 21.1 T Reveals the Local Structure and Passivation Mechanism of Cadmium in Hybrid and All-Inorganic Halide Perovskites
<p>Raw NMR data in Bruker Topspin format. Input and output files of the quantum mechanical calculations.</p>
Data files for the publication "Surfactants Regulate the Mixing State of Organic-Inorganic Mixed Aerosols Undergoing Liquid-Liquid Phase Separation"
<p>Data files for the publication “Surfactants Regulate the Mixing State of Organic-Inorganic Mixed Aerosols Undergoing Liquid-Liquid Phase Separation”</p>
Datasets to Impact of Nano-sized Inorganic Fillers on PEO-based Electrolytes for Potassium Batteries
<p>This dataset provides the raw data to the manuscript</p><p><strong>"Impact of Nano‐Sized Inorganic Fillers on PEO‐Based Electrolytes for Potassium Batteries"</strong></p><p>published in Batteries & Supercaps, <strong>2023</strong>, e202300404. https://doi.org/10.1002/batt.202300404</p><p> </p><p>Specifically, the following measurements are provided in separate zip folders:</p><p>Solid polymer electrolytes characterization:</p><p>Differential Scanning Calorimetry ("DSC.zip")</p><p>Rheological measurements ("Rheology.zip")</p><p>Electrochemical Impedance Spectroscopy ("PEIS.zip")</p><p>Plating and Stripping Experiments ("Plating-Stripping.zip")</p><p>Galvanostatic Cycling with Potential Limitations (GCPL.zip)</p><p> </p><p>Experimental and sample details, including assignment to filenames are provided in the respective README files.</p>
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 Cruise ID Date Research Vessel (R/V) Chief Scientist</strong></i></p><p>2009 AI28 Aug 15-Sept 27 Akademik Ioffe A. Sokov</p><p>2010 AI31 Sep 2-Sep 27 Akademik Ioffe A. Sokov</p><p>2011 SV33 Sep 9-Sep 28 Akademik Sergey Vavilov A. Sokov</p><p>2012 AI38 May 25-Jul 1 Akademik Ioffe S. Gladyshev</p><p>2013 AI41 Jun 26-Jul 23 Akademik Ioffe S. Gladyshev</p><p>2014 AI44 Jun 27-Jul 20 Akademik Ioffe S. Gladyshev</p><p>2016 AI51 Jun 3-Jul 13 Akademik Ioffe S. Gladyshev</p><p>2019 AMK77 Aug 8-Sep 10 Akademik Mstislav Keldysh 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, supported by FMWE-2023-0002) were 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. 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). 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> 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> 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 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> 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: </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). The participation of DCH was funded by the PhD grant PIFULPGC-2020-2 ARTHUM-2. 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>
IODP Expedition 383 Inorganic carbon (coulometer)
Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
Drought may exacerbate dryland soil inorganic carbon loss under warming climate conditions
<p>Data of the Q10 value and soil properties for the study entitled "Drought may exacerbate dryland soil inorganic carbon loss under warming climate conditions".</p>
Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling
<p>Hydrogeochemical data including aqueous chemistry, hydrogen and oxygen isotopes, gas components, gas helium, carbon isotopes from southern Tibet. Supporting the manuscript titled "Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling".</p>
Impact of four inorganic impurities – iron, copper, nickel and zinc - on the quality attributes of a Fc-fusion protein upon incubation at different temperatures.
<p>Data regarding the impact of four inorganic impurities – iron, copper, nickel and zinc - on the quality attributes of a Fc-fusion protein upon incubation at different temperatures. </p>
DATASET - Evaluation of a novel inorganic scintillator for applications in LDR brachytherapy using both TE-cooled and room temperature SiPMs
<p>This dataset includes the raw data and the analyzed data which are included in the conference paper entitled: "Evaluation of a novel inorganic scintillator for applications in LDR brachytherapy using both TE-cooled and room temperature SiPMs".</p> <p> </p> <p>Agnese Giazc, Simona Comettic, Romualdo Santoroc, Peter Woulfea,b, Massimo Cacciac, and Sinead O’ Keeffeb<br> aDepartment of Medical Physics, Galway Clinic, Galway H91 HHT0, Ireland; bOptical</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.