Protocols

Two independent ANN models trained to separate land cover types and distinguish between cytotypes using hyperspectral data.

Calculation of fraction of Asian-sourced lead using mixing model based on lead isotope ratios.

Basin characterization modeling to provide watershed attribute data for SPARROW model input.

Python implementation of algorithm from Lundquist et al., 2008, applied to digital elevation models to classify cold-air pooling areas using terrain analysis.

CNN training using image patches for pixel-based tree and shrub species classification at alpine treeline.

Gap-filling areas outside Upper East River domain with interpolated data from 3m ASO DEM, harmonized with NEON DEM and filtered to remove small pits and peaks.

Neural network developed to reconstruct perturbed sensor data with noise and missing values and predict evapotranspiration.

Calculation of plastic deposition rates based on sample area and duration of sample acquisition.

Accessing and resampling DEMs from USGS 3D Elevation Program using py3dep Python module.

Container-based platform enabling researchers to design, build, and manage science gateways and other services using Docker technology.

Spatial interpolation method used to create yield rasters from load estimates across the study area.

Download of species occurrence records from the Global Biodiversity Information Facility matching specific dataset criteria.

Manual mapping of river channels in geographic information system software for black and white imagery.

Integration process combining datasets from natural history collections, community science observations, and literature to compile bee interaction data.

Cloud-based platform used for large-scale geospatial analysis of satellite imagery.

Execution of simulations on Perlmutter supercomputer distributed across 640 processors for large-scale parallel computing.

Processing of discrete-return LiDAR data using lidR package to generate canopy height models. Includes normalization, subsetting, and reprojection.

Statistical method using random sampling to obtain numerical results and approximate probability distributions.

Script integrates PRISM gridded data, NCEP-NCAR Reanalysis data, and analytical calculations to create consistent meteorological forcing dataset.

Processing and subsetting of raw WRF output variables to watershed region using xarray software.

R interface for graph theory and network analysis using the igraph library.

Built a time-calibrated phylogenetic tree for 337 Proteaceae species using five chloroplast markers.

Future climate simulation method using ERA-Interim reanalysis plus ensemble mean climate delta from RCP 8.5 scenario.

Analysis of DOM data to infer biochemical transformations using methods from Garayburu-Caruso et al., 2020. Identifies patterns in DOM molecular diversity across watersheds.

Demonstration of using Python Client for HydroShare to import and manage reservoir data.

R code implementation for running transmission model analyses.

Numerical model used to simulate reservoir operation using upstream discharges and sediment rating curves.

SUMMA model simulation using downscaled forcings from the WUS-D3 dataset of downscaled CMIP6 GCMS for surface hoar study.

Flow lines derived in GRASS GIS using a single direction algorithm from hydrologically corrected digital elevation model to delineate watersheds draining at least 512000 square meters.

Refactoring of climate modeling software by moving Fortran code to external companion packages while maintaining a pure Python core package.

Normalization of transcriptomic data using Transcripts Per Million (TPM) method.

Downscaling of daily or 6-hourly meteorological data to hourly frequency for hydrological modeling applications.

Statistical processing of discharge and chemical concentration data using R libraries for missing data interpolation and anomaly detection.

Creation of styled basemap depicting topographic slope and aspect using rainbow color scale with contour lines optimized for web display.

Used to de-stagger mass and wind fields, interpolate forecast data to flight levels AGL and compute diagnostics such as visibility, ceiling height, and radar reflectivity.

Data used to drive model simulations are downloaded from websites using Watershed Workflow software package. Model outputs are post-processed using Jupyter notebook scripts.

Processing 8-km resolution observations into 100-km global gridded products. Daily generation of global temperature maps from satellite data.

Map generated with the cost distance GRASS GIS module (r.cost) using estimated travel speeds as the cost function.

Inversion of AEM data to produce regional cross-sections constraining electrical properties of subsurface to ~500m depth. Creates resistivity and IP models.

R package to simplify discovery and retrieval of water data from Federal hydrologic web services including NWIS, EPA WQX, and NLDI.

Development of GIS models using high-resolution spatial data to identify suitable urban greenspace for tree planting and short-rotation coppice.

Used mathematical modeling framework to analyze vaccine effects on pathogen virulence evolution.

Statistical validation approach for model selection and parameter optimization to ensure robust performance.

Simulations to model how fine-grained distribution of non-native resources affects native consumer population dynamics.

Mitochondrial genome assembly using consensus Galliformes sequence as reference guide.

Model considering geometry of seed shadows and assuming limited survivors with recruitment proportional to area.

Applies subcanopy solar radiation model from Bode et al. 2014 to account for vegetation shading greater than 1m in height.