152 Works

Genome-scale network model of Metabolism and Histone acetylation

Sriram Chandrasekaran

Cdeep3m XRM nuclei training model

Matt Haberl
Nucleus segmentation

SEMTEM membranes

Matt Haberl

Tomography Membranes

Matthias G Haberl

SBEM synaptic vesicles

Matthias G Haberl

COAWST Modeling System v3.4

John Warner, Neil Kamal Ganju, Christopher R Sherwood, Tarandeep. Kalra, Alfredo Aretxabaleta, Maitane Olabarrieta, Ruoying He, Joseph Zambon & Nirnimesh Kumar
Coupled ocean atmosphere wave sediment transport modeling system

R code release for the lethality of hot water, chlorine, and ozone on Aquatic Invasive Species.

Mark Sandheinrich, Todd Johnson, Riley Buley & Terrance Hubert

R Code for Comparison of Fish Community Structure among River Reaches of the Upper Mississippi River: Potential Influence of Lock and Dam 19

James H Larson, Rebekah Anderson, Cory Anderson, Brent C Knights, Jon M Vallazza & James Lamer


Sara Mohr & Lindsay Elgin


Sara Mohr & Lindsay Elgin


Sara Mohr & Lindsay Elgin


Sara Mohr & Lindsay Elgin


Sara Mohr & Lindsay Elgin


Sara Mohr & Lindsay Elgin

Generic qPCR Limit of Detection (LOD) / Limit of Quantification (LOQ) calculator

Christopher M Merkes

Dynamically downscaled future wave projections from SWAN model results for the main Hawaiian Islands

Curt Storlazzi & Edwin P.L. Elias
Projected wave climate trends from WAVEWATCH3 model output were used as input for nearshore wave models (for example, SWAN) for the main Hawaiian Islands to derive data and statistical measures (mean and top 5 percent values) of wave height, wave period, and wave direction for the recent past (1996-2005) and future projections (2026-2045 and 2085-2100). Three-hourly global climate model (GCM) wind speed and wind direction output from four different GCMs provided by the Coupled Model...

Wave Exposure Model for Grand Bay, Mississippi: Input and Validation Datasets

Kathryn Smith & Joseph F Terrano
Coastal marsh are highly dynamic and ecologically important ecosystems that are subject to pervasive and often harmful disturbances, including shoreline erosion. Shoreline erosion can result in an overall loss of coastal marsh, particularly in estuaries with moderate- or high-wave energy. Not only can waves can be important physical drivers of shoreline change but can also influence shore-proximal vertical accretion through sediment delivery. For these reason, estimates of wave energy can provide a quantitative measure of...

FTLOADDS (combined SWIFT2D surface-water model and SEAWAT groundwater model) simulator used to assess proposed sea-level rise response and water-resource management plans for the hydrologic system of the South Florida Peninsula for the Biscayne and Southern Everglades Coastal Transport (BISECT) Model

Eric D. Swain
The Biscayne and Southern Everglades Coastal Transport(BISECT) model combines a three-dimensional groundwater model with a two-dimensional hydrodynamic surface-water model with variable-density solute-transport. Input data files containing parameters and boundary condtions for groundwater and surface-water were developed for the calibrated model, represnting conditions from 1996 to 2004. Input data scenarios were developed by altering the relevent parameters to represent the likely effects of 1) different depth aquifer barriers, 2) possible future changes to current water-management practices,...

Registration Year

  • 2019

Resource Types

  • Model