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- Quantifying the Sources of Ionosphere Day-To-Day Variability
- Quantifying the spatial representativeness of ice core surface mass balance records using ground-penetrating radar data in Antarctica
- Quantifying the Spatial Variability of a Snowstorm Using Differential Airborne Lidar
- Quantifying the Storm Time Thermospheric Neutral Density Variations Using Model and Obeservations
- Quantifying the stratigraphic completeness of delta shoreline trajectories
- Quantifying the success of stormwater control measure networks using effective imperviousness
- Quantifying the Transit Light Source Effect: Measurements of Spot Temperature and Coverage on the Photosphere of AU Microscopii with High-resolution Spectroscopy and Multicolor Photometry
- Quantifying the True Cost of Transit Case Study of Bus Routes in Boulder, Colorado
- Quantifying the Uncertainty in CME Kinematics Derived From Geometric Modeling of Heliospheric Imager Data
- Quantifying the uncertainty in CME kinematics derived from geometric modelling of Heliospheric Imager data
- Quantifying the Value of Satellite-Based Pavement Monitoring in Partially Observable Stochastic Environments
- Quantifying Thrombogenicity: A Bioanalytical Protocol for the Absorbance-Based Assessment of Vascular Implants with Plasma
- Quantifying TOLNet ozone lidar accuracy during the 2014 DISCOVER-AQ and FRAPPE campaigns
- Quantifying transmission risk of SARS-CoV-2 in different situations
- Quantifying transport between the tropical and mid-latitude lower stratosphere
- Quantifying trends in surface roughness and the effect on surface wind speed observations
- Quantifying Uncertainties in the Quiet-Time Ionosphere-Thermosphere Using WAM-IPE
- Quantifying Uncertainty in Predictions of Spacecraft Erosion Induced by a Hall Thruster
- QUANTIFYING UNCERTAINTY IN USING MULTIPLE DATASETS TO DETERMINE SPATIOTEMPORAL ICE MASS LOSS OVER 101 YEARS AT KÅRSAGLACIAREN, SUB-ARCTIC SWEDEN
- Quantifying uptake of HNO3 and H2O by alumina particles in Athena-2 rocket plume - art. no. 4141
- Quantifying variation across 16S rRNA gene sequencing runs in human microbiome studies
- Quantifying Volumetric Scattering Bias in ICESat-2 and Operation IceBridge Altimetry Over Greenland Firn and Aged Snow
- Quantifying volumetric scattering bias in ICESat-2 and Operation IceBridge altimetry over snow-covered surfaces
- Quantifying vulnerability of Antarctic ice shelves to hydrofracture using microwave scattering properties
- Quantifying wind plant blockage under stable atmospheric conditions
- Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data
- Quantifying windstorm risks by translating historical extreme events into the future
- Quantifying wintertime boundary layer ozone production from frequent profile measurements in the Uinta Basin, UT, oil and gas region
- Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT)
- Quantifying yeast microtubules and spindles using the Toolkit for Automated Microtubule Tracking (TAMiT).