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Oceanographic and surface meteorological data collected from MTU Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2020-10-05 (NCEI Accession 0123644)
This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Michigan Technological University collected the data from MTU Buoy, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Michigan Technological University and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.
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Oceanographic and surface meteorological data collected from 45172, Grand Marais Buoy, by Northern Michigan University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-09 to 2020-10-05 (NCEI Accession 0157124)
공공데이터포털
This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Northern Michigan University collected the data from 45172, Grand Marais Buoy, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Northern Michigan University and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.
Oceanographic and surface meteorological data collected from UMD Coastal Buoy by University of Minnesota - Duluth and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2020-10-05 (NCEI Accession 0123648)
공공데이터포털
This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Minnesota - Duluth collected the data from UMD Coastal Buoy, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from University of Minnesota - Duluth and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.
Oceanographic and surface meteorological water parameter data collected from moored Realtime Coastal Observation Network, ReCON, Muskegon M20 Buoy (NDBC station 45161), Lake Michigan, in the Great Lakes region by NOAA Great Lakes Environmental Research Laboratory from 2020-07-30 to 2020-10-27 (NCEI Accession 0243922)
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NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Muskegon M20 Buoy (NDBC station 45161), Lake Michigan, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2009, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Muskegon Buoy, MI (45161). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates the collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.
Oceanographic and surface meteorological water parameter data collected from moored Realtime Coastal Observation Network, ReCON, Muskegon M45 Buoy, Lake Michigan, in the Great Lakes region by NOAA Great Lakes Environmental Research Laboratory from 2020-07-30 to 2020-10-26 (NCEI Accession 0243994)
공공데이터포털
NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Muskegon M45 Buoy, Lake Michigan, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2016, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.
Oceanographic and surface meteorological water parameter data collected from moored Realtime Coastal Observation Network, ReCON, Saginaw Bay Buoy (NDBC station 45163), Lake Huron, in the Great Lakes region by NOAA Great Lakes Environmental Research Laboratory from 2020-08-06 to 2020-10-19 (NCEI Accession 0246860)
공공데이터포털
NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Saginaw Bay Buoy (NDBC station 45163), Lake Huron, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2010, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Saginaw Bay Buoy, MI (45163). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.
Oceanographic and surface meteorological water parameter data collected from moored Realtime Coastal Observation Network, ReCON, Alpena Buoy (NDBC station 45162), Lake Huron, in the Great Lakes region by NOAA Great Lakes Environmental Research Laboratory from 2020-08-07 to 2020-10-20 (NCEI Accession 0244738)
공공데이터포털
NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Alpena Buoy (NDBC station 45162), Lake Huron, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2005, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Thunder Bay Buoy, Alpena, MI (45162). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.
Oceanographic and surface meteorological data collected from U-GLOS Station 004, Little Traverse Bay, by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2019-07-09 (NCEI Accession 0123643)
공공데이터포털
This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Michigan collected the data from U-GLOS Station 004, Little Traverse Bay, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from University of Michigan and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.
Oceanographic and surface meteorological data collected from station 45165, Monroe, MI, by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-08-07 to 2021-05-12 (NCEI Accession 0123661)
공공데이터포털
This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). LimnoTech collected the data from station 45165, Monroe, MI, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from LimnoTech and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.
Oceanographic and biological water parameter data collected from the M110 and M110X moorings in Lake Michigan, Great Lakes region to support the long-term ecological research Muskegon transect studies by NOAA Great Lakes Environmental Research Laboratory from 2020-08-12 to 2021-05-19 (NCEI Accession 0255938)
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Two moorings were deployed near the M110 station by the NOAA Great Lakes Environmental Research Laboratory (GLERL) from August 2020 to May 2021 and October 2020 to May 2021. These observations support the GLERL Long-Term Ecological Research program. The M110 station is part of the Muskegon Transect in Lake Michigan near the NOAA Lake Michigan Field Station, Muskegon, MI. The first mooring, “M110”, is an oceanographic mooring containing a temperature string and an acoustic doppler current profiler approximately 200 meters from the temperature string. The second mooring, “M110X”, is a physical and biological mooring that collects temperature and fluorometer measurements near the surface and bottom over the winter. The approximate depth of this mooring location was 110 m. The M110 deployment’s temperature string collects vertical water temperatures at hourly and sub-hourly time intervals at 16 depths by Hobo Onset and Tidbits thermistors. Current speed and direction were collected at sub-hourly time intervals at 49 depths by a Teledyne RDI WorkHorse acoustic doppler current profiler. The data files for this mooring contain the station name “noaa-glerl-michigan-lter-m110-” in the file name. The physical and biological mooring collects surface and bottom temperature and fluorometer measurements hourly. The temperature sensors were Sea-Bird 39. The Wet Labs fluorometers measured voltage, which were converted to chlorophyll concentrations. Please see the “Supplemental Information” for more information about the chlorophyll concentrations. The data files for this mooring contain the station name “noaa-glerl-michigan-lter-m110x-” in the file name. All measurements were collected continuously during this time period. Included in this data package are two data formats, netCDF and CSV. Metadata is included in the netCDF file, the CSV files also contain a data dictionary explaining the column headings.