This study describes how metrics defining invasions may be more broadly applied to both native and invasive species in vegetation management, supporting their relevance to local scales of species conservation and management. A sample monitoring dataset is used to compare range size, local abundance and effect as well as summary calculations of landscape penetration (range size × local abundance) and impact (landscape penetration × effect) for native and invasive species in the mixed-grass plant community of western North Dakota, USA.
Data from: Range size, local abundance and effect inform species descriptions at scales relevant for local conservation practice
The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.
Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis
Soybean rust is a concern to soybean growers and management of soybean rust primarily depends on disease scouting and the timely use of fungicides. The goal of this study was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and graphing.
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files
This data set consists of fourteen data files. Rcode_arctic_peregrine_abundance.R contains R code that was used to analyze Arctic peregrine falcon data collected between 1981 and 2002. The code primarily uses the R package "UNMARKED" and is based on the Dail-Madsen model for estimating population abundance. To run this code in an R environment, download the file and open it in an R interpreter (such as RStudio). The remaining files are all covariate matrices that act as inputs to the R code.
Raw Light-Level Geolocator Data from Golden-Winged Warblers Breeding at Three Sites in North America
21 raw light-level data files (.lig) from geolocators (Biotrak, Wareham, UK; model ML6240, 2-min light-sampling regime) deployed on 20 individual Golden-winged Warblers from three breeding locations in North America. These data were collected to provide information on the migration routes and timing, and nonbreeding locations of individuals from these populations to inform conservation and management strategies. These data are being released following the publication of these findings.
This repository contains the MiSeq sequencing data for fungal communities in a study on biofilters. The BioFilter.zip folder contains 42 FASTQ files. The project run summary report specifies additional information on how the FASTQ data were produced for the "Jason" fungal community samples.
TIFF and JPEG files for the photographs used in constructing figures and supplemental figures in the manuscript, "ELIGULUM-A regulates lateral branch and leaf development," submitted to Plant Physiology. The images document a mutation that alters most of the structures of the plant and how the ELIGULUM-A gene interacts with different developmental pathways. The Figure Legend files describe the images individually.
These data are the simulation results described in the article by Aistrup et al., "Sustaining the Ogallala Aquifer: From the Wells to People, A Holistic CNH Model," accepted for publication in Hydrology and Earth System Sciences. The data are being publicly shared in accordance with journal policy.