This dataset includes data used to summarize trends and identify best-fit models to explain patterns in presence-absence and abundance of Pseudogymnoascus destructans (Pd) in environmental substrates and on bats within six bat hibernacula at different stages of white-nose syndrome (WNS). Data relating to environmental substrates include: dates and relative spatial locations of samples collected within study hibernacula, presence and quantity of Pd in samples based on qPCR analysis, and daily temperature parameters at each sample location on the days samples were collected. Data relating to bats include: dates and relative spatial locations of hibernating bats that were sampled, species, sex, weight(g), forearm length(mm), body mass index (weight/forearm), proportion of the wing with visible fungus or fluorescence characteristic of WNS under hand-held UVA light and presence and quantity of Pd in wing-skin swab samples based on qPCR analysis. Measures of time since first detection of WNS at each study hibernaculum are also included in the dataset.

,Boxwood blight disease, caused by the fungi Calonectria henricotiae and C. pseudonaviculata, is an emergent threat to natural and managed landscapes worldwide. This dataset contains protein predictions and identifications generated from Calonectria pseudonaviculata CBS 139707 (aka cpsCT01) genome dataset https://doi.org/10.15482/USDA.ADC/1410184.,,

Reported here are the fluorescence data points recorded from CRISPR/Cas12a biosensor assays to detect the presence or absence of DNA from Pseudogymnoascus destructans (Pd), the causative fungal agent of white-nose syndrome in bats, from artificial controls, dermal swab, and guano samples. Ct values from qPCR experiments are also provided in a table. Furthermore, we also provide the GenBank accession numbers used to develop the aforementioned CRISPR/Cas12a biosensor assay for Pd DNA detection.

,These data come from a roughly 4-year study on the growth response of a highly invasive woody plant to the damage induced by its biological control agent (an insect) and to soil fertilizer levels. The study design was an interrupted time series in which data were collected from plants for 2 years ("pre"), agents were introduced, and data collection continued for 2 years with sustained agent releases ("post"). Each month, stem tip counts and other measurements were collected from roughly 200 plants: 100 in each of two garden plots (IPRL and UF/IRREC). As plants grew larger (eventually to ~250 cm tall), data collection was spaced to roughly every 2 months and some replicates within each treatment were dropped. In addition to the "interruption" of introducing the agents, the other treatment was the addition of various concentrations of liquid fertilizer to the soil throughout the study. While there were no control plants that did not receive insects, each plant was followed over the course of the pre-post design experiment and Bayesian mixed modelling was used to interpret the effect of releasing the insect on how plant growth parameters changed over time and under different fertilizer levels. We have included raw data in .csv and .xlsx formats, one set for each garden plot as plots were analyzed separately. The Excel files have notes in the header column providing more information about each variable. However, not all variables were analyzed in the published study. The R code is also attached, which runs the Bayesian analyses for each plot and each response variable of interest in the published study. Raw data are also provided for soil and foliar nitrogen content. Soil nitrogen was analyzed at both plots, but foliar nitrogen was only analyzed at one of the plots (IPRL).,

Invasive-plant treatments often target a single or few species, but many landscapes are diversely invaded. Exotic annual grasses (EAGs) increase wildfires and degrade native perennial plant communities in cold-desert rangelands, and herbicides are thus sprayed to inhibit EAG germination and establishment. We asked how EAG-target and nontarget species responded to an herbicide mixture sprayed over a large, topographically diverse landscape after wildfire. We focused on how whole-community and natural EAG-pathogen treatment responses varied over years and physical properties of sites. We monitored plant cover and diversity in 41 pairs of plots located inside or outside areas (486 ha total) treated with a combined aerial broadcast spray of pre-emergent herbicide (imazapic) and weed-suppressive bacteria (Pseudomonas fluorescens, “MB906”) to target EAGs after wildfires in southwest Idaho, USA.