Found 345 datasets matching "Estimation model".
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Model-based prognostics approaches capture system knowl- edge in the form of physics-based models of components that include how they fail. These methods consist of a damage estimation phase, in...
Search relevance: 121.57 | Views last month: 0 -
The algorithms in this data release implement a State-Space Model (SSM) of vertical infiltration through the unsaturated zone and recharge to the water table. These algorithms build on previous...
Search relevance: 112.11 | Views last month: 0 -
The algorithms and input data included in this data release are used to interpret time-series data (water- table altitude, precipitation, and potential evapotranspiration) over an observation...
Search relevance: 111.28 | Views last month: 0 -
Since its inception, the Everglades Depth Estimation Network (EDEN) has used the High Accuracy Elevation Dataset (HAED) digital elevation model (DEM) to provide scientists and managers with...
Search relevance: 95.61 | Views last month: 1 -
Mouse assays. This dataset is associated with the following publication: Diamond, G., K. Bradham, and D. Thomas. Evaluating the Mouse Model for Estimation of Arsenic Bioavailability: Comparison...
Search relevance: 94.25 | Views last month: 0 -
This dataset includes all files used to model groundwater-surface water exchange at mainstem locations on the lower Quillayute River, WA in summer 2021. Sediment temperature data was collected...
Search relevance: 92.17 | Views last month: 0 -
This dataset includes all files used to model groundwater-surface water exchange at several oxbow ponds on the lower Quillayute River, WA in summer 2022. Sediment temperature data was collected...
Search relevance: 88.00 | Views last month: 0 -
This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework and specifically for a Kalman...
Search relevance: 86.91 | Views last month: 0 -
Background Changes in the survival-rate during the larval phase may strongly influence the recruitment level in marine fish species. During the larval phase different 'critical periods'...
Search relevance: 78.09 | Views last month: 0 -
• Figure 1. Ratio of cumulative released cells to cells initially present in the manure at Week 0 as they vary by time, manure type and age, microbe, and Event (i.e., season). The 95% confidence...
Search relevance: 75.81 | Views last month: 0 -
Hypothetical two-dimensional, steady-state groundwater flow models of a previously published 1988 model calibration exercise were developed using the finite-difference computer code,...
Search relevance: 74.64 | Views last month: 1 -
Cheatgrass (Bromus tectorum) cover data were derived from the Bureau of Land Management’s Assessment Inventory, and Monitoring data and paired with geospatial data representing climate, weather,...
Search relevance: 69.35 | Views last month: 0 -
The dataset is lake dissolved oxygen concentrations obtained form plots published by Gelda et al. (1996) and lake reaeration model simulated values using Bayesian Monte Carlo methods (Chaudhary...
Search relevance: 67.85 | Views last month: 0 -
This article discusses several aspects of uncertainty represen- tation and management for model-based prognostics method- ologies based on our experience with Kalman Filters when applied to...
Search relevance: 65.47 | Views last month: 0 -
This data release includes data and metadata describing 1) the rule set used to create vegetation type categories for the Great Basin; 2) estimation and validation data used to fit models of...
Search relevance: 64.77 | Views last month: 0 -
The existing three-dimensional groundwater flow model (MODFLOW-2005) of the Mississippi Embayment Regional Aquifer system (MERAS), South-Central United States, was updated with: 1) higher stream...
Search relevance: 62.09 | Views last month: 2 -
A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert stormwater from city sewers. Input...
Search relevance: 55.99 | Views last month: 0 -
Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the...
Search relevance: 49.91 | Views last month: 0 -
Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the...
Search relevance: 49.45 | Views last month: 0 -
This is a no-arbitrage dynamic term structure model, implemented as in Kim and Wright using the methodology of Kim and Orphanides. The underlying model is the standard affine Gaussian model with...
Search relevance: 47.53 | Views last month: 4
