The data consists of paired observations of relative abundances of benthic macroinvertebrates along with concurrent measurements of water chemistry variables and physical habitat variables. This dataset is associated with the following publication: Griffith, M. Development of national stressor-specific genus sensitivity values. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 895: 165121, (2023).

The data consists of paired observations of relative abundances of benthic macroinvertebrates along with concurrent measurements of water chemistry variables and physical habitat variables. This dataset is associated with the following publication: Griffith, M. Development of national stressor-specific genus sensitivity values. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 895: 165121, (2023).

A combination of surveys and experiments were used to determine the size distribution, recruitment, mortality and growth rates of Siphonaria diemenensis in 2 zones on the rocky shore at Griffith Point, San Remo, Victoria. One zone was in the high intertidal (Zone 2) and one was in the low intertidal area on the shore. There were 3 sites in Zone 1 and 2 sites in Zone 2 (see parent record for more details). A size frequency distribution was constructed for each site from surveys that recorded the size of all individuals every 2 months from October 1979 to December 1981. In addition to the sites in Zone 1 there were 12 permanent quadrats (50 x 50cm) which were surveyed in the same manner from December 1980 to December 1981. The sizes of recruits were similar in both Zones but the sizes of adults were significantly greater in Zone 2. In both years, the maximum density of recruits in Zone 1 was greater than in Zone 2. The mortality rate of adult limpets in Zone 2 was lower compared to limpets in Zone 1. The growth rates (mm per month) of marked individuals were calculated for 3 time intervals; January-March, March-May and May-late July (Zone 2) and Mary-early August (Zone 1) in 1981. Limpets in Zone 2 grew faster (average 0.63 mm per month) than the limpets in Zone 1 (average 0.11mm per month). In addition, an experiment was conducted in Zone 1 from May to July in 1981 to determine the effects of adult density and macroalgal cover on limpet recruitment. It was found that there was no effect of adult density but a significant interactive effect of algal cover and sampling date on the number of limpet recruits.

Data used to generate Figures 2, 3, and 4 as we ll as Table 3. This dataset is associated with the following publication: Banerji, A., M. Bagley, J. Shoemaker, D. Tettenhorst, C. Nietch, J. Allen, and J. Santodomingo. Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data. Harmful Algae. Elsevier B.V., Amsterdam, NETHERLANDS, 86: 84-95, (2019).

LMR watershed temporal DNA metabarcoding 2016 study. This dataset is associated with the following publication: Smucker, N., E. Pilgrim, H. Wu, C. Nietch, J. Darling, M. Molina, B. Johnson, and L. Yuan. Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 831: 154960, (2022).

This project contains five datasets which are reported in "Understanding metrics of stress in the context of invasion history: the case of the brown treesnake (Boiga irregularis)". Overall, this dataset describes metrics of individual and demographic stress (baseline and 1 hour post-capture corticosterone, body condition, and bacterial killing ability) in the invasive snake Boiga irregularis on Guam collected in intervals of 10-15 years from 1992 to 2018. It also contains corticosterone values obtained from different methods of measuring hormones ( radioimmunoassay; RIA versus enzyme immunoassay; EIA) for 2018 data. The first dataset is from the file "boiga_18cort_method.csv", which contains baseline and 1 hour-after-capture blood plasma corticosterone values measured with two methods (enzyme immunoassay and radioimmunoassay) from Boiga irregularis captured on Guam in 2018. This dataset is used in Model 1 of the publication. The second dataset "boiga_bodycond_submit.csv" contains morphometric data for Boiga irregularis captured on Guam in 1991-1993, 2003, and 2018. The dataset is used to calculate the body condition index used throughout the publication. The third dataset is from the file "boiga_all_baseline_submit.csv", which contains baseline blood plasma corticosterone values, basic morphometrics, body condition, and capture information for Boiga irregularis on Guam from 1992-2018. Corticosterone from 2018 is reported for two methods: radioimmunoassay and enzyme immunoassay. This dataset is used for models 2 and 3 of the publication. The fourth dataset is from the file "boiga_base_1h_submit.csv", which contains baseline and 1-hour-after-capture blood plasma corticosterone data for Boiga irregularis captured on Guam in 2003 and 2018. The dataset also includes capture data, morphometrics, and body condition for the animals. This dataset is used for model 4 of the publication. The fifth and final dataset is "boiga_bacterialkilling_submit.csv", which reports the baseline and 1-hour-after-capture blood plasma corticosterone and bacterial killing ability (measured as the plasma dilution at which 50% of bacteria was killed). This dataset was used in model 5 of the publication.

Wildlife managers translocate greater sage-grouse (Centrocercus urophasianus; sage-grouse) to augment small populations, but translocated sage-grouse often fail to reproduce post-release, sometimes hampering conservation objectives. We performed two distinct sage-grouse translocation projects in California and North Dakota from 2017-2020 and employed two translocation methods at both sites: an established method of translocating females prior to the nesting season (i.e., a pre-nesting translocation), and a novel method wherein females were translocated with chicks after successfully hatching a nest in the source population (i.e., a brood translocation). Using an integrated population model (IPM), we estimated recruitment by females translocated with each method. We also estimated the finite rate of change in abundance in recipient and source populations that underwent brood and pre-nesting translocations to evaluate each method using a cost-benefit metric.