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300 results for “tracer”
DIC and DOC 13C tracer data from Shark River Slough and Harney River (FCE), Everglades, South Florida in November 2011
As part of the larger NSF WSC funded project, an SF6 tracer study was conducted in November of 2011 by working groups form ENP, FIU and Univ. of Hawaii. This work included the release of the tracer (SF6), which was sampled in a lagrangian approach as the tracer “patch” moved from the fresh water portion of the system to the mangrove ecotone along the Shark and Harney Rivers. The goal of this study was to measure carbon export through the system. Annie Palya used our new CRDS system to measure the isotopic composition (d13C) of the DOM & DIC (analyzed at RSMAS) during this study, as carbon isotopes may help to resolve different sources of carbon. This analytical approach is relatively new, and will be important for understanding the C-dynamics within the FCE.
Stream tracer experiments to assess channel and hyporheic residence times of streams in the Andrews Experimental Forest in 2001 & 2002
Time series of tracer (Rhodamine WT) concentration data representing a "break-through curve" resulting from a stream tracer injection. Stream tracer experiments were conducted in the lower reach of 2nd-order Watershed 3 in April, 2001, and 2 adjacent reaches of 4th-order Lookout Creek in July, 2002. Rhodamine WT dye was injected as a pulse (non-continuous injection). Concentration data were collected in the field at early time using a field fluorometer equipped with a flow-through cell. Late-time samples collected with an ISCO auto sampler, which were analyzed in the lab with the same fluorometer (reconfigured for analysis with cuvettes) within 72 hours. Particular care was taken to collect late-time, low-concentration data, which are useful in quantifying the residence time of secondary storage within or adjacent to the stream, such as the hyporheic zone or in-stream transient storage zones. In the data set, Tracer 1 refers to the injection in Watershed 3; Tracer 2 refers to the injection in Reach 411 of Lookout Creek; Tracer 3 refers to the injection in the combined Reach 410/411 of Lookout Creek.
Oxygen-18 isotope ratios, chemistry, and tracers in storm water from WS10 hillslope experiment in the HJ Andrews Experimental Forest, 2001-2003
Oxygen-18 ratios, expressed as Delta-18O or D18O (parts per hundred), measured in WS10 discharge and WS10 precipitation. The time series spans from January 2001 to February 2003, period during which precipitation and streamflow were sampled mostly manually and weekly. The time series also includes some periods of higher frequency automatic sampling in streamflow and precipitation in winter 2001 and winter 2002. The precipitation Delta-18O time series corresponds to the Delta-18O measured at PRIMET station located about 1 km from WS10 outlet at a similar altitude, except from 01-Sep-2002 to 04-Feb-2003, when the Delta-18O of precipitation sampled sequentially on an experimental hillslope of WS10, was used (the collector was located on the south aspect, 91 m upstream from the outlet).
WATSON Soil Tracer Experiment Data
<p>Data from the WATSON Soil Tracer Experiment (Tuscany, Italy, September 2023)</p> <p>This release includes:</p> <ul> <li>Images of brilliant blue dye from 4 soil transects</li> <li>Breakthrough curves of electrical conductivity measured through 9 soil moisture probes</li> <li>Isotope samples from 10 vertical soil cores, down to 70 cm</li> </ul> <p>The data is provided as part of the COST Action 19120 WATSON</p>
CLaMS mean age of air tracers for 15/01/2011 interpolated on simulated CAIRT retrieval grid
<p>The dataset contains simulation results from the Chemical Lagrangian Model of the Stratosphere (CLaMS) for January 15, 2011. These results are interpolated onto the simulated retrieval grid of the Changing-Atmosphere Infrared Tomography Explorer (CAIRT). The data includes six trace gases (SF₆, N₂O, CFC-11 (F11), CFC-12 (F12), HCFC-22 (F22), and CH₄) and the "exact" model mean age of air (BA). The file is provided in NetCDF format.</p>
Evaluating Nitrate Removal and Travel Times in a Bare Deciduous Forest Soil Using a Tracer-Based Soil Column Experiment
<p> </p> <p>This dataset summarizes the experimental data from a study investigating the relationship between hydrodynamic properties, transport age characteristics (traced using the conservative tracer bromide), and nitrate consumption by native microbial communities in a deciduous forest soil near Lausanne, Switzerland.</p> <h4><strong>Experimental Setup</strong></h4> <ul> <li>Native soil was <strong>collected, sieved, and packed</strong> into homogeneous soil columns (lysimeters) with a porosity of <strong>0.4</strong>.</li> <li>To stimulate microbial activity, the soil underwent <strong>carbon amendment</strong> for several weeks before the experiment.</li> <li>On <strong>June 10, 2021</strong>, a <strong>pulse of bromide and nitrate</strong> (referred to as <strong>SPIKE</strong>) was applied to the bare soil that had undergone carbon amendment.</li> <li>The dataset covers experimental conditions recorded from <strong>May 25, 2021, to August 12, 2021</strong>.</li> </ul> <h4><strong>Included Data & Models</strong></h4> <ol> <li><strong><strong>SPIKE experiment (<strong>pulse of bromide and nitrate</strong>)</strong></strong> <ul> <li> <ul> <li><strong><strong>all other files (see table_of_contents.html and overview.pdf)</strong></strong></li> </ul> </li> </ul> </li> <li> <p><strong>HYDRUS-1D Simulations</strong></p> <ul> <li>The dataset includes HYDRUS-1D simulation files to reproduce <strong>nitrate and bromide breakthrough curves</strong>: <ul> <li><strong>0_Nitrate-double-compartment.zip</strong></li> <li><strong>0_Bromide-double-compartment.zip</strong></li> </ul> </li> </ul> </li> <li> <p><strong>Soil Characterization using Multi-Step Outflow (MSOM) Method</strong></p> </li> </ol> <ul> <li> <ul> <li>Before the main experiment, the <strong>multi-step outflow method</strong> was performed to characterize the soil. The original experimental data was collected at a <strong>15-minute resolution</strong> but has been <strong>upscaled to hourly resolution</strong> to reduce noise and facilitate data handling.<br> <ul> <li><strong>multi-step_outflow_method.csv</strong></li> </ul> </li> </ul> </li> </ul> <ol> <li> <ul> <li>The processed data (at <strong>hourly resolution</strong>) and <strong>HYDRUS-1D inverse modeling simulations</strong> for soil parameter estimation are provided under two configurations: <ul> <li><strong>config_1_MSOM.zip</strong></li> <li><strong>config_2_MSOM.zip</strong></li> </ul> </li> </ul> </li> </ol> <p> </p>
HadCM3 historical simulation with transient tracers
<p>Excess temperature, CFCs, SF6 and bomb C14 from the HadCM3 historical simulation (1860-2008) (_hist files). These tracers are also integrated using the control ocean transport (_ctrl files). The experiment is designed to test the Green's function method for estimating excess heat in the ocean.</p>
HadCM3 passive tracer Green's functions
<p>HadCM3 passive tracer Green's functions simulated in the pre-industrial control experiment. Two configurations of Green's functions are included. G_c propagates concentration boundary conditions. G_f propagates air-sea tracer fluxes.</p>
IODP Expedition 379 Per-fluorocarbon tracers (PFT)
Perfluorocarbon tracers (PFT) can be used to quantify the amount of core contamination due to drilling fluid. PFT is continuously pumped into the stream of drilling fluid to maintain a consistent concentration. Core subsamples are then measured in triplicate using µECD gas chromatography. Measured levels of PFT of the core outer surface, the outer core surface after undergoing a decontamination procedure, and the inner core are then compared to determine the degree of contamination.
Science ready spectra of star clusters and their best-fitting models described in the research paper "Using Star Clusters as Tracers of Star Formation and Chemical Evolution: the Chemical Enrichment History of the Large Magellanic Cloud" by Chilingarian & Asa'd
<p>Science ready spectra of star clusters in the Large Magellanic Cloud and their best-fitting templates (alpha-enhanced MILES based simple stellar population models) obtained using the NBursts full spectrum fitting code. Each spectrum is presented as a binary FITS table, which contains a spectrum (wavelength, flux, uncertainties), best-fitting template, best-fitting parameters (radial velocity, age, metallicity), and a pixel mask used in the fitting procedure. For each cluster, 5 spectra are provided, which correspond to [alpha/Fe] values from 0.0 to 0.4 dex with a step of 0.1 dex. The only exception is NGC2249, for which only 3 models are provided. The alpha-enhancement value of a model grid used in the fitting procedure is given in the FITS keyword MGFEGRID.</p>
Uncertainty quantification of parenchymal tracer distribution using random diffusion and convective velocity fields (data sets)
<p>Supplementary dataset for Uncertainty quantification of parenchymal tracer distribution using random diffusion and convective velocity fields. Output functionals of interest from finite element simulations together with postprocessing source code. </p>
Paleoclimate signals and groundwater age distributions from 39 public water works in the Netherlands; insights from noble gases and carbon, hydrogen and oxygen isotope tracers [Data set].
<p>Data set covering the meta data of the 39 well fields, the macro chemistry data and the data of the noble gases and carbon, hydrogen and oxygen isotope tracers used for assessing the paleoclimate signals and age distributions in the publication in Water Resources Research (2021)</p> <p><strong>Paleoclimate signals and groundwater age distributions from 39 public water works in the Netherlands; insights from noble gases and carbon, hydrogen and oxygen isotope tracers</strong></p> <p>Hans Peter Broers, Jürgen Sültenfuß<sup> </sup>, Werner Aeschbach, Arne Kersting,, Armin Menkovich, Jasperien de Weert and Jeroen Castelijns</p>
Measured magnetic susceptibility data for different magnetite tracer stacking scenarios
<p>Dataset includes measured data of the volume magnetic susceptibility of 36 artificial soil profiles with various distribution of magnetic tracer. The monitoring was done with Bartington MS2D field probe.</p> <p>The dataset was created for the fitting and calibration of the parameters of a MagHut model. The model and the procedure is described in a manuscript by Zumr D., Li T., Gómez J., Guzmán G., Modelling the response of a field probe for non-destructive measurements of the magnetic susceptibility of soils (to date of the data submission under review).</p>
Total O3 columns at polar regions: TOMCAT/SLIMCAT passive and active tracers and merged SAOZ-MSR2 dataset
<p>Passive and active total ozone columns simulated by the chemical transport model TOMCAT/SLIMCAT (Chipperfield, 1999) and the merged dataset of total ozone from Système d'Analyse par Observation Zénithale (SAOZ, Pommereau and Goutail, 1988) ground-based instruments and Multi-Sensor Reanalysis (MSR2, van der A et al., 2010, 2015) for the polar stations described in the Table here below.</p> <p><strong>Table. Arctic and Antarctic stations included in the study: station name and ID, latitude, longitude and measurement periods of SAOZ and MSR2 datasets.</strong></p> <table> <tbody> <tr> <td> <p><strong>Station (ID)</strong></p> </td> <td> <p><strong>Lat, Lon</strong></p> </td> <td> <p><strong>SAOZ dataset</strong></p> </td> <td> <p><strong>MSR2 dataset </strong></p> </td> </tr> <tr> <td> <p>Eureka, Nunavut (EU)</p> </td> <td> <p>80.1°N, 86.4°W</p> </td> <td> <p>2005-2020</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Ny-Alesund, Svalbard (NY)</p> </td> <td> <p>78.9°N, 11.9° E</p> </td> <td> <p>1991-2022</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Thule, Greenland (TH)</p> </td> <td> <p>76.5°N, 68.8°W</p> </td> <td> <p>1999-2003, 2005-2016</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Scoresbysund, Greenland (SC)</p> </td> <td> <p>70.5°N, 22.0°W</p> </td> <td> <p>1991-2017, 2019-2022</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Sodankyla, Finland (SK)</p> </td> <td> <p>67.4°N, 26.6° E</p> </td> <td> <p>1991-2022</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Sondre Stromfjord, Greenland (SS)</p> </td> <td> <p>67.0°N, 50.6°W</p> </td> <td> <p>2018-2022</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Zhigansk, Russia (ZH)</p> </td> <td> <p>66.8°N, 123.4° E</p> </td> <td> <p>1992-2013</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Salekhard, Russia (SA)</p> </td> <td> <p>66.5°N, 66.7°E</p> </td> <td> <p>2002-2016</p> </td> <td> <p>1990-2022</p> </td> </tr> <tr> <td> <p>Marambio, Antarctica (MB)</p> </td> <td> <p>64.2°S, 56.7°W</p> </td> <td> <p>-</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Dumont d’Urville, Antarctica (DD)</p> </td> <td> <p>66.7°S, 140.0°E</p> </td> <td> <p>1989-2021</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Rothera, Antarctica (RO)</p> </td> <td> <p>67.6°S, 68.1°W</p> </td> <td> <p>2007-2021</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Syowa, Antarctica (SW)</p> </td> <td> <p>69.0°S, 39.6°E</p> </td> <td> <p>-</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Neumayer, Antarctica (NM)</p> </td> <td> <p>70.7°S, 8.3°W</p> </td> <td> <p>-</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Terra Nova, Antarctica (TN)</p> </td> <td> <p>74.8°S, 164.5°E</p> </td> <td> <p>-</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Concordia, Antarctica (DO)</p> </td> <td> <p>75.1°S, 123.4°E</p> </td> <td> <p>2007-2021</p> </td> <td> <p>1989-2021</p> </td> </tr> <tr> <td> <p>Halley, Antarctica (HB)</p> </td> <td> <p>75.6°S, 26.8°W</p> </td> <td> <p>-</p> </td> <td> <p>1989-2021</p> </td> </tr> </tbody> </table> <p> </p> <p>Each file corresponds to the whole winter time data set of the station identified by its ID: O3_PassActSLIMCAT_CompositeMSR2SAOZ_ID.txt</p> <p>1<sup>st</sup> column: Year</p> <p>2<sup>nd</sup> column: Day of Year (DoY)</p> <p>3<sup>rd</sup> column: Passive ozone column (without chemistry) modelled by TOMCAT/SLIMCAT (O3pasS).</p> <p>4<sup>th</sup> column: Active ozone column (with full chemistry) modelled by TOMCAT/SLIMCAT (O3actS).</p> <p>5<sup>th</sup> column: merged data from SAOZ observations and MSR2 (O3comp)</p> <p>Passive and active tracers of SLIMCAT were normalized to O3comp data in the beginning of the winter.</p> <p>NaN is used when there is no observation either from SAOZ instrument or MSR2 dataset or from the model.</p> <p> </p> <p><strong>References</strong></p> <p>Chipperfield, M. P.: New version of the TOMCAT/SLIMCAT offline chemical transport model: Intercomparison of stratospheric tracer experiments, Q. J. Roy. Meteor. Soc., 132, 1179–1203, <a href="https://doi.org/10.1256/QJ.05.51">https://doi.org/10.1256/QJ.05.51</a>, 2006.</p> <p>Pommereau, J.-P., and Goutail, F.: O<sub>3</sub> and NO<sub>2</sub> ground-based measurements by visible spectrometry during arctic winter and spring 1988, Geophys. Res. Lett., 15, 891–894, <a href="https://doi.org/10.1029/GL015i008p00891">https://doi.org/10.1029/GL015i008p00891</a>,1988.</p> <p>van der A, R. J., Allaart, M. A. F., and Eskes, H. J.: Multi sensor reanalysis of total ozone, Atmos. Chem. Phys., 10, 11277–11294, <a href="https://doi.org/10.5194/acp-10-11277-2010">https://doi.org/10.5194/acp-10-11277-2010</a>, 2010.</p> <p>van der A, R. J., Allaart, M. A. F., and Eskes, H. J.: Extended and refined multi sensor reanalysis of total ozone for the period 1970–2012, Atmos. Meas. Tech., 8, 3021–3035, <a href="https://doi.org/10.5194/amt-8-3021-2015">https://doi.org/10.5194/amt-8-3021-2015</a>, 2015.</p>
AssureMOSS Vulnerability Statements Dataset (Tracer)
<p>This dataset contains 307 vulnerability statements found with <a href="https://sap.github.io/project-kb/prospector/">Prospector</a>, an open-source repository mining tool developed by SAP Security Research and the <a href="https://assuremoss.eu">AssureMOSS consortium</a>.</p> <p>The vulnerabilities covered by this dataset are a subset of those that appear in the "depth" dataset at <a href="https://patch-tracer.github.io/">https://patch-tracer.github.io/</a></p>
Stable isotope and conservative tracer data used to estimate uptake of stream water dissolved organic carbon (DOC) through a whole-stream addition of a ¹³C-DOC tracer coupled with laboratory measurements of bioavailability of the tracer and stream water DOC using lability profiling with bioreactors
We performed a whole-stream addition of a ¹³C-DOC tracer and made laboratory measurements of the biological availability of the tracer as well as stream water DOC. The study was performed in October 2002 in a 1.27 km stretch of the third-order White Clay Creek in southeastern Pennsylvania. The tracer was prepared as a cold-water leachate of ¹³C-labeled tulip poplar saplings and it was added to the stream along with sodium bromide, a conservative tracer, over a 2-h period. Stream water samples were collected at 8 downstream stations over an 8-h period, filtered, and analyzed for concentrations of bromide and DOC. DOC was measured by Pt-catalyzed, persulfate oxidation, Br- was analyzed by ion chromatography, and C isotope samples were rotary evaporated, acidified, lyophilized, combusted, and the CO₂ analyzed with an elemental analyzer interfaced with an isotope ratio mass spectrometer. Lability profiling of the ¹³C-DOC tracer and stream water DOC were performed with a series of plug-flow bioreactors of increasing empty-bed contact times with the concentration of biodegradable DOC operationally defined as the difference between the DOC concentrations in the influent and effluent waters of the bioreactors. The bioreactor measurements were performed 2 days after the whole-stream release. Data were analyzed to estimate the uptake of stream water DOC associated with labile and semi-labile fraction of biodegradable DOC. These data have been previously used in a 2008 publication in Freshwater Biology, doi:10.1111/j.1365-2427.2007.01941.x.
Del 13C-CO2 of in situ soil respiration post tracer addition
This dataset contains non-destructive, sequential 13C isotope measurements of soil CO2 flux following injection in situ with isotopically labeled glycine or deionized water (DIW). Data derive from a multiyear experiment covering seven forest ecosytem types located across three major biomes: southern temperate, northern temperate, and boreal forest. This data can be sorted and viewed by stand type, field replicate, treatment (glycine vs. DIW), sampling period (0.75-336 h post treatment), and sampling time (duration of measurement).
Data on spatial distribution of tracers for optical sensing of stream surface flow
<p>Here, we present the numerical and field data used in the manuscript entitled <em>Spatial distribution of tracers for optical sensing of stream surface flow</em>. Numerical data were synthetically generated considering different values of seeding density and aggregation levels of tracers for image-velocimetry analyses. In total, 33,600 synthetic images were generated. Field data correspond with the Basento River case study located in southern Italy. The respective footage at 12 fps, pre-processed and stabilised frames, and reference velocity data are provided in this dataset.</p>
A standardized method for the construction of tracer specific PET and SPECT rat brain templates: validation and implementation of a toolbox
<p>Data set used in "A standardized method for the construction of tracer specific PET and SPECT rat brain templates: validation and implementation of a toolbox"</p>
Data for "Combining 13C, 15N, and 2H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study"
<p>This dataset includes raw data used in the paper "Combining <sup>13</sup>C, <sup>15</sup>N, and <sup>2</sup>H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study" (JEMBE).</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)
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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.