Filters: Tags: {"type":"USGS Scientific Topic Keyword"} (X) > partyWithName: Danelle M Larson (X)
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The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing values in a long-term water quality data set from the upper Mississippi River, USA.
Categories: Data;
Tags: Information Sciences,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly...
Geodatabases were developed to compile mapped relative abundance raster data sets for 25 species/species groups, and also Curve Fit regression tool adjusted R-squared, standard error, y-intercept, and slope spatial outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019.
This dataset includes information from 59 prairie pothole wetlands in Minnesota, collected in 2019 and 2020. The data includes wetland characteristics (e.g., size, depth, plant biomass, and water quality), multiple fish metrics, and multiple amphipod metrics. The amphipod species include Gammarus lacustris and Hyalella azteca. There are 22 species of fish recorded.
The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.
The dataset accompanies the scientific article, "Experimental conservation translocations of an aquatic invertebrate (Gammarus lacustris) within prairie and forest-transitional wetlands". In this study, we conducted a before-after/control-impact experiment to test the efficacy of conservation translocation for re-establishing abundant populations of the freshwater amphipod Gammarus lacustris in years 2017-2020. Each site (n=19) comprised at least 2 wetland basins, generally with one basin receiving translocated G. lacustris from a local donor and the other serving as a nearby control basin. The dataset contains information about the sites and the number of amphipods and density of amphipods detected at each basin.
Categories: Data;
Tags: Aquatic Biology,
Ecology,
Gammarus lacustris,
Minnesota, USA,
North America,
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