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126526 results found

Suspended particulate organic matter composition of three marsh ponds in PIE-LTER (Rowley, MA) from 2014 (NCEI Accession 0277384)

Data provided by  National Oceanic and Atmospheric Administration

This dataset contains chemical and physical data collected at shoreside Massachusetts during deployment Plum_Island from 2014-09-01 to 2014-11-30. These data include Carbon, Nitrogen, d13C, d15N, and total organic Carbon. The instruments used to collect these data include Isotope-ratio Mass Spectrometer. These data were collected by Amanda Spivak of Woods Hole Oceanographic Institution as part of the "Eutrophication Effects on Sediment Metabolism and Benthic Algal-bacterial Coupling: An Application of Novel Techniques in a LTER Estuary (benthic_PP_at_TIDE)" project.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277384

Growth and mortality of corals on long-term monitoring sites in St. John, USVI from 1996-01-01 to 2016-12-31 (NCEI Accession 0277323)

Data provided by  National Oceanic and Atmospheric Administration

This dataset contains biological data collected at Virgin Islands National Park during deployment Edmunds_VINP from 1996-01-01 to 2016-12-31. These data include growth and taxon. These data were collected by Peter J. Edmunds of California State University Northridge as part of the "LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019 (St. John LTREB)" and "RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019 (RUI-LTREB)" projects.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277323

Epibenthic community abundance in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (NCEI Accession 0277330)

Data provided by  National Oceanic and Atmospheric Administration

This dataset contains biological and survey - biological data collected on R/V Oceanus during cruises OC1606A and OC1707A from 2016-06-17 to 2017-07-23. These data include abundance and depth. These data were collected by Matthew Edwards of San Diego State University and Brenda Konar of University of Alaska Fairbanks as part of the "Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer (Kelp Forest Ecosystem Engineer Loss)" project.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277330

Concentrations of ultrapure water soluble aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect on USCGC Healy (HLY1502) August to October 2015 (NCEI Accession 0277333)

Data provided by  National Oceanic and Atmospheric Administration

This dataset contains chemical data collected on USCGC Healy during cruise HLY1502 in the Arctic Ocean, Bering Sea, and East Siberian Sea from 2015-08-10 to 2015-10-09. These data include depth and metal concentration in atmosphere. The instruments used to collect these data include Aerosol Sampler and Inductively Coupled Plasma Mass Spectrometer. These data were collected by William M. Landing of Florida State University, Yuan Gao of Rutgers University, and Clifton S.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277333

NIST-CSF-to-NERC-CIP-OLIR-Mapping Informative Reference Details

Data provided by  National Institute of Standards and Technology

The purpose of this mapping is to provide the relationship between NIST Cybersecurity Framework (CSF) v1.1 and the NERC Critical Infrastructure Protection (CIP) Standards.Target Audience:The intended audience are NERC registered entities of the Energy Sector Critical Infrastructure, electric segment, seeking to enhance the cyber security of the bulk electric system.This record supersedes https://doi.org/10.18434/mds2-2348

Tags: cybersecurity,cybersecurity framework,Subcategories,NERC,critical infrastructure,CIP,standards,Reliability,bulk electric system,risk management

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CTD cast data collected aboard NOAA Ship NATHANIEL B. PALMER during four cruises in the Southern Ocean along the western Antarctic Peninsula as part of the GLOBEC project, from 2001-04-29 to 2002-09-14 (NCEI Accession 0059928)

Data provided by  National Oceanic and Atmospheric Administration

This dataset contains chemical, optical, physical, and profile data collected on NOAA Ship NATHANIEL B. PALMER during cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-04-29 to 2002-09-14. These data include dissolved oxygen, fluorescence, hydrostatic pressure, light transmission, PAR, theta, salinity, sigma-theta, and water temperature. The instruments used to collect these data include CTD and Fast Repetition Rate Fluorometer (FRRF). These data were collected by John M.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0059928

Physical Models and Dimensional Traceability of 2.4 mm Coaxial Airline Standards for Determining Systematic Uncertainties of Calibrated Scattering-Parameters

Data provided by  National Institute of Standards and Technology

Physical Models and Dimensional Traceability of 2.4 mm Coaxial Airline Standards for Determining Systematic Uncertainties of Calibrated Scattering-Parameters

Tags: airline standards,coaxial,dimensional,physical models,scattering-parameters,systematic,traceability,uncertainties

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Water physical and chemical vertical observational data at multiple levels from fixed mooring CHRP4 in the central basin of Lake Erie, Great Lakes region from 2022-05-16 to 2022-10-04 collected by National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory and the Cooperative Institute for Great Lakes Research, University of Michigan. (NCEI Accession 0277100)

Data provided by  National Oceanic and Atmospheric Administration

The data in this record contains the physical and chemical vertical observational data from fixed mooring CHRP4 in the central basin of Lake Erie, Great Lakes region from 2022-05-16 through 2022-10-04. The approximate depth at CHRP4 is 24.3 m. Observations were collected at hourly or sub-hourly time intervals for water temperature and dissolved oxygen. The moorings are designed in a U-shape with a spar buoy and a subsurface buoy approximately 300 ft apart. The spar buoy has a surface expression float and holds the upper water column sensors.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277100

Water physical and chemical vertical observational data at multiple levels from fixed mooring CHRP3 in the central basin of Lake Erie, Great Lakes region from 2022-05-19 to 2022-10-05 collected by National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory and the Cooperative Institute for Great Lakes Research, University of Michigan. (NCEI Accession 0277101)

Data provided by  National Oceanic and Atmospheric Administration

The data in this record contains the physical and chemical vertical observational data from fixed mooring CHRP3 in the central basin of Lake Erie, Great Lakes region from 2022-05-19 through 2022-10-05. The approximate depth at CHRP3 is 15.4 m. Observations were collected at hourly or sub-hourly time intervals for water temperature and dissolved oxygen. The moorings are designed in a U-shape with a spar buoy and a subsurface buoy approximately 300 ft apart. The spar buoy has a surface expression float and holds the upper water column sensors.

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Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0277101

Standards Incorporated by Reference (SIBR) Database

Data provided by  National Institute of Standards and Technology

This is a searchable historical collection of standards referenced in regulations - Voluntary consensus standards, government-unique standards, industry standards, and international standards referenced in the Code of Federal Regulations (CFR).

Tags: Standards Coordination Office,SCO,Incorporated by Reference,IBR,Federal Register,CFR

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Source: https://sibr.nist.gov/