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Dataset results
300 results for “tracers”
Spatial fingerprinting: horizontal fusion of multi-dimensional bio-tracers as solution to global food provenance problems
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Data from: Characterization data of commercial tracers for magnetic particle imaging
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Data from: Stable isotope tracers reveal a trade-off between reproduction and immunity in a reptile with competing needs
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McMurdo Dry Valley 1995 Tracer Experiment Locations
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a 1995 tracer experiment was conducted in Green Creek. For details of this experiment, please contact Diane McKnight
Stream Gauge Measurements During 1995 Tracer Experiment
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a 1995 tracer This dataset shows the stream discharges, conductivity, and water temperatures that occurred during this experiment.
15N Tracer Study in Grassland and Shrubland at the Sevilleta National Wildlife Refuge, New Mexico (1989-2002)
Because grasses and shrubs may induce different spatial distributions of nutrients in desert soils, this study was initiated to examine the redistribution of nitrogen in grassland and shrubland soils over a long time period. The stable isotope N15 was applied to plots in grassland and shrubland, and the plots were measured annually from 1989-1993 and again in 1999, 2001, and 2002.
Multi-year impact of maternal provisioning on a juvenile elasmobranch: pitfalls of tissue type and tracer number for stable isotope analysis
<p>Stable isotope data and R script for all the analysis referred to in the manuscript.</p>
Data from: Coupling biogeochemical tracers with fish growth reveals physiological and environmental controls on otolith chemistry
Biogeochemical tracers found in the hard parts of organisms are frequently used to answer key ecological questions by linking the organism with the environment. However, the biogeochemical relationship between the environment and the biogenic structure becomes less predictable in higher organisms as physiological processes become more complex. Here, we use the simultaneous combination of biogeochemical tracers and fish growth analyzed with a novel modeling framework to describe physiological and environmental controls on otolith chemistry in an upwelling zone. First, we develop increasingly complex univariate mixed models to describe and partition intrinsic (age effects) and extrinsic (environmental parameters) factors influencing fish growth and otolith element concentrations through time. Second, we use a multivariate mixed model to investigate the directionality and strength between element-to-element and growth relationships and test hypotheses regarding physiological and environmental controls on element assimilation in otoliths. We apply these models to continuous element (Na, Sr, Mg, Ba, Li) and growth increment profiles (monthly resolution over 17 years) derived from otoliths of reef ocean perch (Helicolenus percoides), a wild-caught, site-attached, fully marine fish. With a conceptual model, we hypothesize that otolith traits (elements and growth) driven by environmental conditions will correlate both within an otolith, reflecting the time dependency of growth and element assimilation, and among individuals that experience a similar set of external conditions. We found some elements (Sr:Ca and Na:Ca) are mainly controlled by physiological processes, while other elements (Ba:Ca and Li:Ca) are more environmentally influenced. Within an individual fish, the strength and direction of correlation varies among otolith traits, particularly those under environmental control. Correlations among physiologically regulated elements tend to be stronger than those primarily controlled by environmental drivers. Surprisingly, only Ba:Ca and growth are significantly correlated among individuals. Failure to appropriately account for intrinsic effects (e.g. age) led to inflated estimates of among individual correlations and a depression of within individual correlations. Together, the lack of among-individual correlations of otolith traits in properly formulated models and the biases that can be introduced by not including appropriate intrinsic covariates suggest that caution is needed when assuming multi-elemental signatures are reflective solely of shared environments.
Data for the paper "Assimilation of noble gas tracer concentrations with data space inversion in alluvial river-aquifer systems"
<p>This is the modelling data required to obtain results discussed in "Assimilation of noble gas tracer concentrations with data space inversion in alluvial river-aquifer systems".</p> <p> </p>
Data associated to the manuscript "Enhanced diffusion of tracer particles in nonreciprocal mixtures"
<p>Contains an example of LAMMPS input file and data used to generate the figures of the article:</p><p><strong>Enhanced diffusion of tracer particles in nonreciprocal mixtures</strong></p><p>Anthony Benois, Marie Jardat, Vincent Dahirel, Vincent Démery, Jaime Agudo-Canalejo, Ramin Golestanian, and Pierre Illien</p><p>https://arxiv.org/abs/2307.05408</p><p>Article published in Physical Review E (2023).</p>
BP-tracer: Supplementary Data 2 Version 2.0
<p>Supplementary Data 2 contains <i>1) </i>the raw results obtained from the Benchmark Part of the paper, encompassing BP-Tracer, Reads, Contigs, MAGs and Correlation methods. <i>2)</i> the raw results of BP-Tracer obtained from Real metagenomic datasets, including metagenomic datasets from clinical settings associated with pathogenic infection (urinary tract infections, UTIs), hospitalization (preterm infant using antibiotic), antibiotic exposure (healthy adults following antibiotic exposure) and the datasets from 7 different environments (Extended Data).</p>
Hydraulic tomography and thermal tracer test data from a fractured-porous field site in Goettingen (Germany)
<p>These data are supplementary material for:</p> <p>Römhild, L., Ringel, L. M., Liu, Q., Hu, L., Ptak, T., & Bayer, P. (2024). Hybrid discrete fracture network inversion of hydraulic tomography data from a fractured-porous field site. Water Resources Research, 60, e2023WR036035. https://doi.org/10.1029/2023WR036035</p> <p>The data set comprises hydraulic tomography and thermal tracer test field data from a porous-fractured site in Göttingen (Germany). The repository contains a schematic figure of the experimental setup and subfolders for the two different experiments. For more information about the data, we refer to the readme files in the repository, and the soon-to-be-published paper (see above).</p>
EEP numerical tracer
<p>MITgcm output for article "Ocean iron fertilization by sea-level enhanced mid-ocean ridge volcanism"</p>
Data used in paper entitled "Symplecticity of the GORILLA guiding-center tracer and its implications for edge transport modeling"
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Particle tracer and horizon data of equal-mass, binary neutron stars simulations
<p>We provide the particle tracer and black hole (BH) horizon data obtained from two binary neutron star (BNS) simulations performed with IllinoisGRMHD.</p> <p>The first dataset, MissingLink_gammalaw_particle_data.tar.bz2, contains data from a magnetized, equal-mass BNS simulation of the missing link initial data. The equation of state (EOS) used was a simple gamma-law with Gamma=2.</p> <p>The second dataset, Magnetized_equalmass_BNS_LS220_particle_data.tar.bz2, contains data from a magnetized, equal-mass BNS simulation that employs an advanced, tabulated EOS—LS220.</p> <p>Both simulations have gone through inspiral, merger, and the formation of a remnant hypermassive neutron star that eventually collapses to a BH.</p>
tracer data for JGR
<p>tracer data for JGR manuscript.</p>
Tracer diffusivity in an idealized MITgcm simulation
<p>Model setup files, output data and python scripts that are used for a submitted manuscript to JAMES.</p>
Tracer and Observationally Derived Constraints on Diapycnal Diffusivities in an Ocean State Estimate
<p>Data used to generate figures in Trossman et al. (2022) in Ocean Science</p>
Simulations of 10Be production via CCM SOCOL-AERv2-BE (96 tracers for 10Be)
<p>Here you can see global 10Be content (at/m^3) of different sources (see tab. 1 in paper) produced by GCR and SCR for the ground level. </p> <p>Here are two folders with the same structure:<br> 1) GCR<br> 2) SCR</p> <p>In thise folders 96 .txt files and 97 .xls files.</p> <p>In .txt files the first column is latitude and the first line is longitude. For each point values of 10Be content (at/m^3) in ground level.</p> <p>In .xls the same values, but grid for these values in an independent file called grid_size.xls.</p> <p>You can choose a format file which more comfortable for you.</p>
Clustering Data for Passive Tracers in Random Velocity Fields
<p>Contains the post-processed model output. All detected clusters from each individual model run used to compile statistics are included as well as python scripts to manipulate cluster objects and create figures.</p>
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.