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Dataset results
506 results for “assessment model”
Assessment of unique behavioral, morphological, and molecular alterations in the comparative developmental toxicity profiles of PFHxA using the zebrafish model system
GEO Series GSE211171. Danio rerio. 16 samples. Type: Expression profiling by array.
Assessment and Evaluation of Contemporary Approaches for Astrocyte Differentiation from hiPSCs: A Modeling Paradigm for Alzheimer's Disease
GEO Series GSE269743. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing.
Candidate Vaccine Assessment in a pH1N1 Rhesus Macaque Challenge Model
GEO Series GSE60009. Homo sapiens; Macaca mulatta. 171 samples. Type: Expression profiling by array.
Assessment of unique behavioral, morphological, and molecular alterations in the comparative developmental toxicity profiles of PFOA using the zebrafish model system
GEO Series GSE211169. Danio rerio. 16 samples. Type: Expression profiling by array.
Assessment of Diet and Stress Effects on Ocular Vulnerability in Rodent Models of Traumatic Brain Insults using a Multi-Omics Approach
GEO Series GSE243996. Rattus norvegicus. 72 samples. Type: Expression profiling by array.
A model system for assessing the ability of tag sequencing to detect genes specific for malignant B-cells
GEO Series GSE40310. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Assessing susceptibility for polycyclic aromatic hydrocarbon toxicity in an in vitro 3D respiratory model for asthma
GEO Series GSE239797. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Figure 4 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
Figure 4 Probability of salmonellosis for a random serving of egg.
Figure 3 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
Figure 3 Probability of illness according to storage duration.
Figure 1 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
Figure 1 Global method of risk assessment.
Modelling results for the analytical assessment (Sec. 2.3) and EA benchmark tests (Sec. 3)
<p>These datasets contains the flow profiles and time histories produced by the FV1, MUSCL-FV2, DG2-NL and DG2-LL for the following tests:</p> <ul> <li><strong>Sec. 2.3: Analytical assessments of model conservation properties:</strong> <ul> <li>Time histories of normalised total energy and mass error from FV1, MUSCL-FV2, DG2-NL and DG2-LL at 20m and 40m grid resolution.</li> <li>Water level profiles at 7tau/2 and 8tau from FV1, MUSCL-FV2, DG2-NL and DG2-LL at 40m grid resolution, along with the analytical solutions.</li> </ul> </li> <li><strong>Sec. 3: Comparison against industrial flood model outputs</strong> <ul> <li><strong><em>Sec. 3.1.1: Flooding and drying cycle over a sloping topography:</em></strong> <ul> <li>Time histories of water level from DG2-LL and DG2-NL at 10m resolution, DG2-NL and MUSCL-FV2 at 20m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.1.2: Symmetrical flow propagation over a flat bed:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 5m resolution, DG2-NL and MUSCL-FV2 at 10m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.1.3: Slow filling of multiple ponds:</strong></em> <ul> <li>Time histories of water level from from DG2-LL and DG2-NL at 20m resolution, DG2-NL and MUSCL-FV2 at 40m resolution, and the reference solution.</li> </ul> </li> <li><strong><em>Sec. 3.2.1: Momentum conservation over an obstruction:</em></strong> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 5m resolution, DG2-NL and MUSCL-FV2 at 10m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.2.2: Torrential flooding over a rural catchment:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 50m resolution, DG2-NL and MUSCL-FV2 at 100m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.2.3: Dam-break over an oblique building:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 0.1m resolution, and DG2-LL and MUSCL-FV2 at 0.2m resolution.</li> </ul> </li> </ul> </li> </ul>
Figure 3 from: Miteva D, Solak A, Dyankova S, Nacheva I, Dimov K (2020) Assessment of allergenicity of irradiated dairy products in a Balb/c mice model. Pharmacia 67(3): 129-133. https://doi.org/10.3897/pharmacia.67.e53886
Figure 3 Anaphylactic symptom scores in mice (n = 10).
S1_raw_images paper "Use of dual-flow bioreactor to develop a simplified model of nervous-cardiovascular systems crosstalk: a preliminary assessment
<p>Original uncropped and unadjusted images underlying all blot or gel results reported in a submission’s figures and Supporting Information files.</p>
Data from: Assessing the impacts of imperfect detection on estimates of diversity and community structure through multispecies occupancy modeling
Detecting all species in a given survey is challenging, regardless of sampling effort. This issue, more commonly known as imperfect detection, can have negative impacts on data quality and interpretation, most notably leading to false absences for rare or difficult‐to‐detect species. It is important that this issue be addressed, as estimates of species richness are critical to many areas of ecological research and management. In this study, we set out to determine the impacts of imperfect detection, and decisions about thresholds for inclusion in occupancy, on estimates of species richness and community structure. We collected data from a stream fish assemblage in Algonquin Provincial Park to be used as a representation of ecological communities. We then used multispecies occupancy modeling to estimate species‐specific occurrence probabilities while accounting for imperfect detection, thus creating a more informed dataset. This dataset was then compared to the original to see where differences occurred. In our analyses, we demonstrated that imperfect detection can lead to large changes in estimates of species richness at the site level and summarized differences in the community structure and sampling locations, represented through correspondence analyses.
Data from: Assessing adaptive phenotypic plasticity by means of conditional strategies from empirical data: the Latent Environmental Threshold Model
Conditional strategies are the most common form of discrete phenotypic plasticity. In a conditional strategy, the phenotype expressed by an organism is determined by the difference between an environmental cue and a threshold, both of which may vary among individuals. The Environmental Threshold model (ETM) has been proposed as a mean to understand the evolution of conditional strategies, but has been surprisingly seldom applied to empirical studies. A hindrance for the application of the ETM is that often, the proximate cue triggering the phenotypic expression and the individual threshold are not measurable, and can only be assessed using a related observable cue. We describe a new statistical model that can be applied in this common situation. The Latent Environmental Threshold Model (LETM) allows for a measurement error in the phenotypic expression of the individual environmental cue and a purely genetically determined threshold. We show that coupling our model with quantitative genetic methods allows an evolutionary approach including an estimation of the heritability of conditional strategies. We evaluate the performance of the LETM with a simulation study and illustrate its utility by applying it to empirical data on the size-dependent smolting process for stream-dwelling Atlantic salmon juveniles.
Finite Volume Community Ocean Model-based Arctic Ocean Forecast System: A Comprehensive Assessment of Sea Ice Forecast Results without Data Assimilation
<p>The dataset contains sea ice forecast results from the Finite Volume Community Ocean Model-based Arctic Ocean Forecast System (FVCOM-AOFS) for the period 2019-2020. The output result of the system is presented as daily mean values.</p><p>Each netCDF file within the dataset includes the following variables: lon, lat, lonc, latc, aice, vice, uuice, and vvice. Specifically, the variables of lon and lat represent the longitude and latitude of the unstructured triangular grid. The variables of lonc and latc represent the longitude and latitude of the unstructured triangular cell. The variables of aice and vice indicate sea ice concentration and sea ice thickness. The variables of uuice and vvice indicate eastward and northward sea ice drift velocity. The scalars including aice and vice use lon and lat coordinates, and the vectors including uuice and vvice use lonc and latc coordinates. </p>
Figure 7 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 7 Output module.
Fig. 4 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance
Fig. 4. Partial dependence plot for topographic wetness index (TWI).
Characterization Factors for Microplastic Emissions in Life Cycle Assessment Considering Multimedia Fate Modelling
<p>These data provide supporting information for a forthcoming publication proposing new <strong>Regionalized Characterization Factors for Microplastic Emissions in Life Cycle Assessment</strong>. </p> <p>The Characterization Factors (CFs) are developed thanks to a fate model based on SimpleBox4Plastics: https://doi.org/10.5281/zenodo.5743268 and adapted to meet the USEtox methodology. </p> <p>They are derived from the "Regionalized_CFs_for_MP_emissions_in_LCIA.ipynb" script available on GitHub at https://github.com/Julouve/Regionalized_Characterization_Factors_for_Microplastic_Emissions_in_LCIA.git</p> <p>The CFs are developed for 14 polymers (EPS, PP, LDPE, HDPE, PS, PAN, PHA, PA, PLA, strach blend, PBAT, PET, PVC, TRWP) at 5 sizes (1, 10, 100, 1000, 5000 μm) for 9 different regions (North America, Latin America, Europe, Africa & Middle East, Central Asia, Southeast Asia, Northern regions, Oceania, World) for 9 environmental compartments (air, lake water, river water, sea water, their sediment, natural soil, agricultural soil) on two scales (continental & global) and for 3 ecosystems (marine, freshwater and terrestrial). </p> <p>CFs are computed thanks to 2 approaches: a surface approach (in PDF*m2*year/kg) and a species approach (in PDF*year/kg or species*year/kg). </p> <p> </p>
Computational data on "A Model for the Rapid Assessment of Solution-Structures for 24-Atom Macrocycles: The Impact of β-Branched Amino Acids on Conformation"
<p>The archive contains 5 different folders:<br> <br> 1. mdp_files, that contains all the input files for the minimization, equilibration and molecular dynamics run (in gromacs format);<br> 2. topologies, that contains the equilibrated configurations and topology of the 4 systems studied (in gromacs format);<br> 3. trajectories, that contains the coordinates of the macrocycles during the metadynamics calculations and the relevant metadynamics output files (hills file and energy file);<br> 4. plumed_input, that contains the input file for the metadynamics calculations.<br> 5. gaussian, that contains input and output for the single-point charge calculations.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.