Benthic macroinvertebrates sampled from 76 small streams in the Georgia Coastal Plain. Additional data includes in-situ physiochemcial water quality data, physical stream habitat data and land use data in the watershed draining to the sample stream reach, as well as in the immediate riparian zone adjacent to all stream reaches upstream of the sample reach. These data were used to develop a biological condition index for evaluating stream restoration projects in this region. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

이 데이터는 해양수산부에서 국가해양생태계종합조사에 따라 실시하는 갯벌조사 중 염생식물(염분이 많은 토양에서 서식하는 식물) 조사 정점의 위치 정보를 제공하기 위해 수집되었습니다.본 데이터의 주요 내용은 데이터 일련번호, 정점번호, 정점의 위도 및 경도, 조사년도, 정점의 명칭과 정점 위치에 대한 상세정보 등으로 구성되어 있습니다.본 데이터는 해양환경 변화 모니터링, 염생식물 분포 특성 연구, 해안 생태계 보전계획 수립, 갯벌 연구 기반 자료 구축 등을 위한 기반 데이터로써 활용될 수 있습니다.

Dataset contains discrete nutrient data collected at the following parks: Cape Hatteras National Seashore, Cape Lookout National Seashore, Fort Pulaski National Monument, Cumberland Island National Seashore, Fort Matanzas National Monument, Canaveral National Seashore, and Timucuan Ecological and Historic Preserve. Data parameters include measures of nitrogen, phosphorus, and chlorophyll-a.

The two excel files provide zooplankton and benthic macroinvertebrate data, respectively, underlying the publication. The data consist of sample by taxa matrices for Isle Royale in 2012, Apostle Islands in 2017, Lake Superior CSMI in 2016, and Lake Superior NCCA in 2015. This dataset is associated with the following publication: Trebitz, A., G. Shepard, C. Meredith, G. Peterson, and J. Hoffman. Aquatic invertebrate diversity in Apostle Islands and Isle Royale waters: Comparison among habitats and sampling gears and to open Lake Superior. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 50(5): 102406, (2024).

This release includes data used to evaluate the structure and function of the Ross Lake and Diablo Lake food webs. This includes data on zooplankton density and production (zooplankton_density.csv and daphnia_region_production_biomass.csv), lake volume estimates used to expand zooplankton density and production data (lake_volume_estimates.csv), fish sampling (FishSampleEvents.csv), fish biological information including diets, age, and stable isotope analysis (FishFullData_formatted.csv, FishPreyLength.csv), scale back-calculations (salmonid_back_calc.csv, rss_back_calc.csv), fish energy density (calorimetry_processed.csv), stable isotope data for invertebrate end members (si_inverts.csv), and hydroacoustic sampling (ross_ha_densities.csv, diablo_ha_densities.csv). Fish and zooplankton sampling and stable isotope analysis were conducted by the USGS in 2019-2021, and hydroacoustics surveys were conducted in 2021. These data were also combined with fish data (species, size, age) from the National Park Service collected in 2005-2017 to evaluate fish size and age structure across a larger period of time. The bioenergetics model and information on running the model including inputs and outputs from our simulations and a user guide can be found the in FB4.zip folder. Please refer to the associated publications for additional details about data collection and processing.

These raw data associated with this research were collected as part of the United States Environmental Protection Agency's 2018-2019 National Rivers and Streams Assessment (NRSA). The worksheet "Water chemistry data" includes environmental variables examined in this study including total phosphorus (TP), total nitrogen (TN), conductivity, pH, and ecoregion. The worksheet "Diatom ASVs" includes relative abundances of gene sequence reads for each amplicon sequence variant (ASV), which are referred to as taxa. This dataset is associated with the following publication: Smucker, N., E. Pilgrim, C. Nietch, L. Gains-Germain, C. Carpenter, J. Darling, L. Yuan, R. Mitchell, and A. Pollard. Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 939: 173502, (2024).

This file contains land cover and water chemistry data. This dataset is associated with the following publication: Smucker, N.J., A. Kuhn , M.A. Charpentier, C.J. Cruz-Quinones, C.M. Elonen , S.B. Whorley, T.M. Jicha , J.R. Serbst , B.H. Hill , J.D. Wehr, and J. Lake. Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management. ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA, 57(3): 683-695, (2016).