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This data release contains cyanotoxin, chlorophyll-a, and pheophytin-a concentration, cyanobacterial genetics, phytoplankton community composition, and multiparameter sonde data collected from 20 sites in five northeastern United States river basins (Penobscot (ME), Santuit (MA), York (VA-WV), Salem (NJ), and Peconic (NY)). Solid Phase Adsorption Toxin Tracking (SPATT) passive samplers were deployed at all sites between August 31 and September 2, 2020, and retrieved after 7 days. Discrete water samples were collected when SPATTs were deployed, and at 2 sites (USGS station IDs 01670257, 0167014792), samples were also collected when the SPATTs were recovered. Sonde data were collected when deploying and retrieving...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anatoxin-a,
Aquatic Community Health,
Chlorophyll-a,
Contaminants, HABS,
Cyanobacteria,
This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
This dataset includes georeferenced TIFF files from three separate reports for the Olean study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.
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