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Federal
Species of Greatest Conservation Need National Database
Department of the Interior —
The Species of Greatest Conservation Need National Database is an aggregation of lists from State Wildlife Action Plans. Species of Greatest Conservation Need (SGCN)... -
Federal
Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022
Department of the Interior —
This dataset is a collection of hyperspectral imagery profiles of algae, many associated with Harmful Algae Blooms (HABs). Data were collected using a microscope-... -
Federal
High-speed mapping of water isotopes and residence time in Cache Slough Complex, San Francisco Bay Delta, CA
Department of the Interior —
Real-time, high frequency (1-second sample interval) GPS location, water quality, and water isotope (δ2H, δ18O) data was collected in the Cache Slough Complex (CSC),... -
Federal
Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, collected in August 2019 and August 2020
Department of the Interior —
This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the... -
Federal
Sedimentary Data Collected in September 2016 From Old Tampa Bay, Florida (U.S. Geological Survey Field Activity Number 2016–350–FA)
Department of the Interior —
The toxic dinoflagellate Pyrodinium bahamense (P. bahamense) produces recurring, persistent summer algal blooms in Old Tampa Bay, Florida, which degrade water quality... -
Federal
Phytoplankton data for samples collected at eleven large river sites throughout the United States, June through October 2018
Department of the Interior —
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data for samples collected from eleven large river sites throughout the United States, from... -
Federal
Compilation of State-Level Freshwater Harmful Algal Bloom Recreational and Drinking Water Guidelines for the Conterminous United States as of 2022
Department of the Interior —
This data release contains a national compilation of state-level qualitative and quantitative guidance for a variety of environmental indicators that are used to... -
Federal
Bayou D'Arbonne Lake Study Area
Department of the Interior —
This data release includes GIS shapefiles and metadata for location of the study area and phytoplankton taxonomy counts determined by Dr. Russel Rhodes, Faculty... -
Federal
Paleoecological data from sediment collected in 2020 from Santa Fe Lake, New Mexico
Department of the Interior —
This dataset contains carbon and nitrogen stable isotope values, percent carbon and percent nitrogen, algal pigment data, and diatom taxonomy from lake sediment... -
Federal
In Situ Fluorometric Measurements of Cyanobacteria, Green Algae, and Diatoms in Biofilms from Northwest Alaskan Rivers During Summer and Fall 2016-2019
Department of the Interior —
This dataset contains measurements of in situ benthic biofilms from rivers of northwest Alaska during summer and fall 2016-2019. Measurements were made using a... -
Federal
Owasco Lake, New York spatial water-quality data, June 26 and October 8, 2019
Department of the Interior —
This U.S. Geological Survey (USGS) Data Release provides high-resolution, nearshore, spatial water-quality data collected from Owasco Lake, New York, on June 26 and... -
Federal
Benthic Algal Community Composition in the Laurentian Great Lakes (2018-2023)
Department of the Interior —
This data set includes information on benthic algae community composition collected during the growing seasons of 2018-2023 at stations located along the U.S.... -
Federal
Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through September 2020 (ver. 3.0, August 2021)
Department of the Interior —
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through September 2020. All data... -
Federal
Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 2.0, June 2023)
Department of the Interior —
This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the... -
Federal
Cladophora biomass and supporting data collected in the Great Lakes, 2020 (ver. 2, March 2023)
Department of the Interior —
This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the... -
Federal
Cladophora biomass and supporting data collected in the Great Lakes, 2021
Department of the Interior —
This dataset records Cladophora and associated benthic algae, collectively Cladophora community or submerged aquatic vegetation (SAV), biomass collected during the... -
Federal
Benthic algae community composition in the upper White River Basin, Colorado, 2022
Department of the Interior —
This dataset includes benthic algae community composition data from three sites in the upper White River Basin, Colorado, in 2022. Benthic algae were identified as... -
Federal
Field measurements, laboratory, and field experimental data for Sky Pond, Rocky Mountain National Park Colorado, nutrient and warming study, 2015-2017
Department of the Interior —
The data include measurements of chlorophyll a and algal stoichiometry from benthic algae collected from Sky Pond, Rocky Mountain National Park, Colorado, in... -
Federal
Assessment of Field and Laboratory Methods for the Detection and Analyses of Cyanobacteria and Cyanotoxins in Texas Reservoirs, 2020
Department of the Interior —
In cooperation with the Texas Commission on Environmental Quality (TCEQ), the U.S. Geological Survey (USGS) used various field and laboratory methods to determine the... -
Federal
Phytoplankton data for the Kansas River and tributaries, July 2012 through February 2017
Department of the Interior —
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from the Kansas River and tributaries, during July 2012 through February 2017....