64 datasets found
  1. c

    Integrated Ocean Observing System Catalog

    • catalog.civicdataecosystem.org
    Updated Jan 17, 2018
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    (2018). Integrated Ocean Observing System Catalog [Dataset]. https://catalog.civicdataecosystem.org/dataset/integrated-ocean-observing-system-catalog
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    Dataset updated
    Jan 17, 2018
    Description

    The IOOS Catalog (https://data.ioos.us/) is an open data portal containing IOOS’ portfolio of oceanographic observations and forecast products provided by IOOS’ 11 Regional Associations (RAs), functional Data Assembly Centers (DACs) such as the HF Radar DAC and Glider DAC, and IOOS’ federal partners. The Catalog inventories all IOOS Data Management (DMAC)-compliant data access service endpoints provided by these entities in a single metadata repository, for discovery by end users. The Catalog is populated by ISO 19115 metadata records that describe the observations taken and forecast model outputs produced by the RAs and DACs using DMAC-recommended standard vocabularies and data formats wherever possible (netCDF-CF [1], ACDD [2]). The RAs and DACs publish their metadata to web accessible folders, or OGC CS-W services, and the Catalog harvests metadata from these locations on a daily basis. Because IOOS data provider metadata is often produced in an automated fashion by software reading native data file attributes (such as CF attribution in a netCDF file, for example), a daily automated harvest of the ISO XML metadata is necessary, in order to keep frequently varying information such as dataset time coverage current. The Catalog provides a searchable user graphical user interface (https://data.ioos.us/) for interactive data discovery by users, as well as a native API (https://data.ioos.us/api/3) and OGC CS-W (https://data.ioos.us/csw?service=CSW&request=GetCapabilities) -compatible service for machine-based access to its inventory of data products. Downstream national IOOS products such as the IOOS Environmental Sensor Map (https://sensors.ioos.us) use the Catalog inventory for real-time sensor observation services to include in its map portal. The IOOS Catalog is made up of three main components: the Data Catalog (the public user interface, based on CKAN open data catalog software) the Harvest Registry (an internal site used by data providers to manage metadata harvest sources) the Service Monitor (service uptime monitoring) Additional information about the IOOS Catalog and components, including instructions for IOOS data providers, can be found here: https://ioos.github.io/catalog. Catalog GitHub Repository: https://github.com/ioos/catalog. For information on project development timelines, Catalog source code, or to file an issue, please see the GitHub repo. The current faceted filtering options provided by the CKAN software underlying the Data Catalog are: Location (i.e. geographic bounding box), Organization (e.g. PacIOOS, GLOS, etc) Tags/keywords (e.g. sea_water_temperature, sea_water_electrical_conductivity) Formats (e.g. HTML, SOS, OPeNDAP, etc). Date and time Data providers There is also the option to do a free text search, which will search indexed metadata fields such as dataset title, abstract, keywords, and others and provide matched datasets. The datasets search page provides an option to search by start and/or end time. The CS-W service is provided by pycsw, a Python-based OGC Catalog Service software. It has its own internal search implementation that sometimes gives different results than CKAN’s embedded search, which is powered by the Apache Solr search indexing software. There is a long-term plan to abstract pycsw’s search implementation to allow external pluggable search implementations (including Solr) to interoperate with pycsw but this functionality is not yet available. Partially. The CI_RoleCode in ISO 19115 with a value of "originator" is used as the value of the data provider field. With development of standardized metadata profiles to represent this information in incoming metadata from the IOOS RAs and DACs, the CKAN catalog software could be extended to provide richer filtering options including concepts such as RA or platform operator. For more information on planned work on this, see: https://github.com/ioos/catalog/milestone/7. At the moment, there is not a straightforward technique for this. We hope to address this deficiency in the near future. As part of an upcoming development milestone (https://github.com/ioos/catalog/milestone/7), we will be investigating enhancements to both the CKAN software as well as developing metadata conventions to better enable our data providers to tag oceanographic forecast model output in a distinctive way that could then be represented in the Data Catalog interface to users. Also, the ability to filter data by time coverage should complement a forecast model tagging capability to search for data covering present time onward. Yes. Under the hood, CKAN uses Solr for search, and can accept Solr query strings in either the dataset search on the website or the package_search CKAN API endpoint. CF Standard Names are primarily provided by the cf_standard_names field. An example query is below: https://data.ioos.us/dataset?q=cf_standard_names:"sea_water_pressure" GCMD keywords work somewhat differently and are organized by hierarchy For example a query of https://data.ioos.us/dataset?q=gcmd_keywords:"Earth Science > Oceans > Ocean Chemistry > Chlorophyll" is equivalent to specifying the following values for gcmd_keywords: "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL" "Earth Science>Oceans>Ocean Chemistry>Chlorophyll" "Earth Science > Oceans > Ocean Chemistry > Chlorophyll" The search is hierarchical and can also contain prefixes, i.e. https://data.ioos.us/dataset?q=gcmd_keywords:"Earth Science > Oceans" will find any GCMD keywords underneath it. If you want to search for a suffix with GCMD keywords, you will need to use a wildcard search: *Water\ Temperature' Note here the use of the escaped space per the Lucene query syntax. An example request to the CKAN API to query both GCMD Keywords starting with a value of "EARTH SCIENCE > OCEANS > OCEAN SCIENCE" and a CF standard name of "sea_water_electrical_conductivity" using cURL is below curl 'https://data.ioos.us/api/3/action/package_search?fq=gcmd_keywords:"EARTH+SCIENCE+>+OCEANS+>+OCEAN+TEMPERATURE"+cf_standard_names:"sea_water_electrical_conductivity"' An example request to the CKAN API to query both GCMD Keywords starting with a value of "EARTH SCIENCE > OCEANS > OCEAN SCIENCE" and a CF standard name of "sea_water_electrical_conductivity" using cURL is below References: [1]. Climate and Forecast Conventions: https://cfconventions.org/ [2]. Attribute Conventions for Dataset Discovery: https://wiki.esipfed.org/index.php/Attribute_Convention_for_Data_Discovery

  2. D

    Vocabulary: EcoAssets Earth Science Features

    • data.nsw.gov.au
    csv
    Updated Aug 22, 2023
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    EcoAssets (2023). Vocabulary: EcoAssets Earth Science Features [Dataset]. https://data.nsw.gov.au/data/en/dataset/vocabulary-ecoassets-earth-science-features
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    csvAvailable download formats
    Dataset updated
    Aug 22, 2023
    Dataset provided by
    EcoAssets
    Area covered
    Earth
    Description

    Vocabulary for categorising Earth Science survey and monitoring efforts based on the features observed. This vocabulary is based on the Global Change Master Directory (GCMD, https://gcmd.earthdata.nasa.gov/KeywordViewer/) vocabulary, extended with terms from the TERN Feature Type vocabulary (http://linked.data.gov.au/def/tern-cv/68af3d25-c801-4089-afff-cf701e2bd61d) and modified to use taxonomic concepts URIs from the Australian National Species List (ANSL, https://biodiversity.org.au/nsl/) in place of the GCMD Earth Science > Biological Classification vocabulary. ANSL categories map more readily to biodiversity survey categories, since GCMD depends on a top-level division between vertebrates and invertebrates rather than offering an animal category.

    The Dataset includes three files.

    Vocabulary_EcoAssetsEarthScienceFeatures_1.0.2023-03-23.csv lists the vocabulary terms, with the following columns: 1. URI for term 2. URI for parent term (empty for top-level terms) 3. Label describing term 4. True if the URI is used as a feature facet (level 1, 2 or 3) in the EcoAssets Aggregated Data: Environmental Monitoring and Observations Effort dataset (https://doi.org/10.26197/e3n7-ys83), False otherwise 5. Short form of label used for facet

    TreeView_EcoAssetsEarthScienceFeatures_1.0.2023-03-23.txt presents the vocabulary terms as a human-readable nested tree.

    KeywordMapping_EcoAssetsEarthScienceFeatures_1.0.2023-03-23.csv lists keywords used in TERN and IMOS datasets and how these have been mapped against vocabulary terms with the following columns: 1. URI for term 2. Keyword used in TERN or IMOS metadata 3. National Research Infrastructure (NRI) using keyword (IMOS/TERN)

    To find out more about this dataset, visit: https://ecoassets.org.au/data/vocabulary-ecoassets-earth-science-features/

  3. E

    Surface CUrrents from a Diagnostic model (SCUD): Pacific, Lon+/-180

    • pae-paha.pacioos.hawaii.edu
    Updated Mar 17, 2012
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    Nikolai A. Maximenko (2012). Surface CUrrents from a Diagnostic model (SCUD): Pacific, Lon+/-180 [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/scud_pac_lon180/index.html
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    Dataset updated
    Mar 17, 2012
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Nikolai A. Maximenko
    Time period covered
    Mar 17, 2012 - Aug 16, 2025
    Area covered
    Variables measured
    u, v, time, latitude, longitude
    Description

    The SCUD data product is an estimate of upper-ocean velocities computed from a diagnostic model (Surface CUrrents from a Diagnostic model). This model makes daily estimates of ocean currents by combining geostrophic and Ekman currents. The estimate is computed through derived coefficients such that the results best match ocean drifting buoys. The currents therefore are a best-estimate of currents at 15 meters (drifting buoys are drogued at 15 meters). The dataset is intended to diagnose trajectories of a tracer floating near the surface such as marine debris, oil spills, etc. The data are provided on a 1/4-degree grid for the Pacific. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Nikolai Maximenko (maximenk@hawaii.edu). Conventions=CF-1.6, ACDD-1.3 CreatedBy=IPRC/SOEST U. of Hawaii CreatedOn=2025-08-15 03:04:25 HST date_metadata_modified=2021-03-30 defaultGraphQuery=.draw=vectors Easternmost_Easting=179.875 File_type=gridded lat/lon geospatial_bounds=POLYGON ((-70.125 119.875, 61.875 119.875, 61.875 180.0, -70.125 180.0, -70.125 119.875), (-70.125 -180.0, 61.875 -180.0, 61.875 -68.125, -70.125 -68.125, -70.125 -180.0)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=61.875 geospatial_lat_min=-70.125 geospatial_lat_resolution=0.25 geospatial_lat_units=degrees_north geospatial_lon_max=179.875 geospatial_lon_min=-179.875 geospatial_lon_resolution=0.25 geospatial_lon_units=degrees_east history=2012-03-17T00:00:00Z PacIOOS distribution begins. id=scud_pac infoUrl=http://apdrc.soest.hawaii.edu/projects/SCUD/ institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=oceans keywords_vocabulary=GCMD Science Keywords locations=Ocean > Pacific Ocean locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/scud_pac.html naming_authority=org.pacioos Northernmost_Northing=61.875 platform=Models/Analyses > > Operational Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=http://apdrc.soest.hawaii.edu/projects/SCUD/ source=Surface CUrrents from a Diagnostic model (SCUD), http://apdrc.soest.hawaii.edu/projects/SCUD/ sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/scud_pac Southernmost_Northing=-70.125 standard_name_vocabulary=CF Standard Name Table v39 testOutOfDate=now-46hours time_coverage_end=2025-08-16T00:00:00Z time_coverage_resolution=P1D time_coverage_start=2012-03-17T00:00:00Z Version=v 1.0 Westernmost_Easting=-179.875

  4. Aggregated Data: Environmental Monitoring and Observations Effort Jan...

    • researchdata.edu.au
    • data.csiro.au
    datadownload
    Updated Dec 5, 2024
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    Integrated Marine Observing System (IMOS); Terrestrial Ecosystem Research Network (TERN); Atlas of Living Australia; Donald Hobern; Shandiya Balasubramaniam (2024). Aggregated Data: Environmental Monitoring and Observations Effort Jan 2010-Mar 2023 [Dataset]. http://doi.org/10.25919/VQYH-7077
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    datadownloadAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Integrated Marine Observing System (IMOS); Terrestrial Ecosystem Research Network (TERN); Atlas of Living Australia; Donald Hobern; Shandiya Balasubramaniam
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Mar 23, 2023
    Area covered
    Description

    This collection contains aggregated metadata on environmental monitoring and observing activities from three Australian national research infrastructures (NRIs): biodiversity survey events from the Atlas of Living Australia (ALA), marine observations collected by the Integrated Marine Observing System (IMOS), and site-based monitoring and survey efforts by the Terrestrial Ecosystem Research Network (TERN). This dataset provides a summary breakdown of these efforts by survey topic, region, and time period from January 2010 to March 2023.

    Survey topics are mapped to an EcoAssets Earth Science Features vocabulary based on the Earth Science keywords from the Global Change Master Directory (GCMD) vocabulary, modified to use taxonomic concept URIs from the Australian National Species List (ANSL) in place of the GCMD Earth Science > Biological Classification vocabulary. ANSL categories map more readily to biodiversity survey categories, since GCMD depends on a top-level division between vertebrates and invertebrates rather than offering an animal category. The EcoAssets Earth Science Features vocabulary, including alternative keywords used in ALA, IMOS, or TERN datasets, is included in this collection.

    The primary asset is aggregated_env_monitoring.csv. This contains all faceted data records for the period and supported facets related to time, space, and features observed.

    Two derived assets (summary_monitoring_effort_terrestrial.csv, summary_monitoring_effort_marine.csv) further summarise the faceted data. Each is a pivot of the aggregated dataset.

    vocabulary_earth_science_features.csv contains the hierarchical terms used within this asset to categorise earth science features. treeview_earth_science_features.txt provides a simpler, more readable view. keyword_mapping.csv shows the mappings between these terms and the keywords used in source datasets. The data_sources.csv file includes information on the source datasets that contributed to this asset. Lineage: This dataset was created by the following pipeline:

    1. Metadata records were collected from the TERN linked data portal (https://linkeddata.tern.org.au/) for all TERN monitoring sites and survey activities. Feature terms follow the TERN Feature Type vocabulary, mapped to the EcoAssets Earth Science Features vocabulary. For features that have been measured continuously at the site, metadata records were created for each relevant year since commission of the site. For other sites and features, metadata records were generated only for years in which the site was visited. TERN metadata records are associated with site coordinates.

    2. Metadata records were harvested for datasets in the Australian Ocean Data Network (AODN, https://portal.aodn.org.au/) portal maintained by IMOS (iso19115-3.2018 format over OAI-PMH). Feature terms follow the GCMD keywords used in these metadata records. Metadata records were created for each year overlapping the data collection period for each dataset. Where the datasets were associated with a bounding box, records were created for each IMCRA region intersecting the bounding box.

    3. Metadata records were created for each biodiversity sample event published to the ALA and associated with a Darwin Core event ID and a named sampling protocol (see https://dwc.tdwg.org/terms/#event). Events were excluded if the set of sampled taxa included multiple kingdoms OR the sampling protocol was associated with <50 samples OR no sample included >1 species. The remaining samples were mapped to feature terms based on the taxonomic scope of all species recorded for the associated protocol. Year and coordinates were taken from the associate sample event.

    4. Metadata records from all sources were combined and include the following values. The feature facet values are offered as a convenience for grouping records without using the hierarchical structure of the EcoAssets Earth Science Features vocabulary:

    • Source National Research Institute (NRI – one of ALA, IMOS, TERN) • Dataset name • Dataset URI • Original keyword from NRI (TERN feature type, IMOS GCMD keyword, ALA taxon) • Decimal latitude (where appropriate) • Decimal longitude (where appropriate) • Year • State or Territory • IBRA7 terrestrial region • IMCRA 4.0 mesoscale marine bioregion • Feature ID from EcoAssets Earth Science Features vocabulary • Feature name associated with feature ID • Feature facet 1 – high-level facet based on feature ID – a top-level GCMD Earth Science category (6 terms) • Feature facet 2 – intermediate-level facet based on feature ID – second-level GCMD/ANSL category (29 terms) • Feature facet 3 – lower-level facet with more fine-grained taxonomic structure based on feature ID – typically a third-level GCMD/ANSL category (36 terms)

  5. E

    crate-20200130T0820 Delayed Mode Science Profiles

    • slocum-data.marine.rutgers.edu
    Updated Jun 22, 2020
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    John Kerfoot (2020). crate-20200130T0820 Delayed Mode Science Profiles [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/crate-20200130T0820-profile-sci-delayed/index.html
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    Dataset updated
    Jun 22, 2020
    Authors
    John Kerfoot
    Time period covered
    Jan 30, 2020 - Feb 1, 2020
    Area covered
    Variables measured
    u, v, crs, cdom, time, depth, beam_c, m_roll, density, m_pitch, and 48 more
    Description

    The mission objectives are (1) describe particle characteritics in the Rhone River ROFI (2) estimate the dynamics and fate of suspended particles in the Gulf of Lions shelf (3) measure water properties in the frame of Marine Strategy Framework Directive of the European Commission. The planned mission is repeated trasects from MESURHO buoy 43.319638N 4.866144E 30m depth to 200m isobath offshore southward at the shelf break 42.924854N 4.845756E. The MESURHO buoy is located near the mouth of the Rhone River in the Meditteranean Sea. Delayed mode dataset containing high-resolution sampling. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=Funding provided by the French National Cenre for Scientific Research cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id cdm_trajectory_variables=trajectory contributor_name=François Bourrin,Travis Miles contributor_role=Principal Investigator,Principal Investigator Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=temperature,depth,time&time>=max(time)-1days&temperature!=NaN&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse deployment_name=crate-20200130T0820 Easternmost_Easting=4.898643333333334 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((43.217655 4.855138333333333, 43.217655 4.855138333333333, 43.217655 4.855138333333333, 43.217655 4.855138333333333, 43.217655 4.855138333333333)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=43.30873969985891 geospatial_lat_min=43.202445000000004 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=4.898643333333334 geospatial_lon_min=4.794363333333334 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=100.9854 geospatial_vertical_min=0.00992042 geospatial_vertical_positive=down geospatial_vertical_units=m history=2020-06-22T15:33:37Z: /tmp/tmphkhms7ir/crate_20200201T160955Z_dbdtd2fs1b9.nc created 2020-06-22T15:33:37Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2020/crate-20200130T0820/data/in/ascii/dbd/crate_2020_031_0_0_dbd.dat

    id=crate-20200130T0820 infoUrl=http://www.cnrs.fr/en/cnrs,https://rucool.marine.rutgers.edu institution=French National Centre for Scientific Research,Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 mode=delayed naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=43.30873969985891 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. No quality control provided. program=Autonomous Measurements of Particles Size Using Gliders project=MEPTAG references=https://lternet.edu/site/palmer-antarctica-lter/,https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=7671 sea_name=Meditteranean Sea source=Observational Slocum glider data from source dba file crate-2020-031-0-0-dbd(00670000) sourceUrl=(local files) Southernmost_Northing=43.202445000000004 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file, profile_id, profile_lat, profile_lon, profile_time time_coverage_duration=PT10M38.20224S time_coverage_end=2020-02-01T16:15:14Z time_coverage_resolution=PT01S time_coverage_start=2020-01-30T08:37:15Z uuid=b3bc53fa-7a73-4932-9896-ec9afc56c30c Westernmost_Easting=4.794363333333334

  6. E

    Distance to Nearest Coastline: 0.01-Degree Grid, Lon0360

    • pae-paha.pacioos.hawaii.edu
    Updated Mar 19, 2012
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    NASA Ocean Biology Processing Group (OBPG) (2012). Distance to Nearest Coastline: 0.01-Degree Grid, Lon0360 [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/dist2coast_1deg_lon360/index.html
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    Dataset updated
    Mar 19, 2012
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    NASA Ocean Biology Processing Group (OBPG)
    Area covered
    Variables measured
    dist, latitude, longitude
    Description

    A global data set of distances from the nearest coastline. Negative distances represent locations over land (including land-locked bodies of water), while positive distances represent the ocean. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. Bilinear interpolation was then applied to increase the spatial resolution to 0.01 degrees. There is an uncertainty of up to 1 km in the computed distance at any given point. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=These data are provided by the NASA Goddard Space Flight Center (GSFC) Ocean Biology Processing Group (OBPG). contributor_email=richard.stumpf@noaa.gov contributor_institution=NOAA National Ocean Service (NOS) contributor_name=Richard P. Stumpf contributor_role=originator contributor_type=person Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2021-03-29 drawLandMask=under Easternmost_Easting=360.0 geospatial_bounds=POLYGON ((-90.0 -180.0, 90.0 -180.0, 90.0 180.0, -90.0 180.0, -90.0 -180.0)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=90.0 geospatial_lat_min=-89.99 geospatial_lat_resolution=0.01 geospatial_lat_units=degrees_north geospatial_lon_max=360.0 geospatial_lon_min=0.01 geospatial_lon_resolution=0.01 geospatial_lon_units=degrees_east history=2012-03-19T00:00:00Z Downloaded GeoTIFF from NASA/GSFC and converted to NetCDF (J. Maurer). id=dist2coast_1deg infoUrl=https://oceancolor.gsfc.nasa.gov/docs/distfromcoast/ institution=NASA Ocean Biology Processing Group (OBPG) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=location keywords_vocabulary=GCMD Science Keywords locations=Geographic Region > Global locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/dist2coast_1deg.html naming_authority=org.pacioos Northernmost_Northing=90.0 platform=Models/Analyses > Data Analysis platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://oceancolor.gsfc.nasa.gov/docs/distfromcoast/ source=Global Self-consistent, Hierarchical, High-resolution Shoreline Database (GSHHS) sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/dist2coast_1deg Southernmost_Northing=-89.99 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_duration=P0D time_coverage_resolution=P0D Westernmost_Easting=0.01

  7. E

    ru03-20031203T1800 Delayed Mode Raw Time Series

    • slocum-data.marine.rutgers.edu
    Updated Dec 12, 2018
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    John Kerfoot (2018). ru03-20031203T1800 Delayed Mode Raw Time Series [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/ru03-20031203T1800-trajectory-raw-delayed/index.html
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    Dataset updated
    Dec 12, 2018
    Authors
    John Kerfoot
    Time period covered
    Dec 3, 2003 - Dec 18, 2003
    Area covered
    Variables measured
    crs, time, c_fin, depth, m_fin, m_lat, m_lon, c_roll, m_roll, c_pitch, and 37 more
    Description

    This was the second extended deployment of a Slocum Glider by the Rutgers University Coastal Ocean Observation Laboratory in the Mid-Atlantic Bight. There were 2 objectives of this mission: 1) Demonstrate the extended deployment capability of a Slocum glider and 2) collect temperature and salinity profiles to begin a historical survey of the Mid-Atlantic Bight shelf. This dataset contains high-resolution glider CTD profiles. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=Funding provided by the Rutgers University Coastal Ocean Observation Laboratory cdm_data_type=Trajectory cdm_trajectory_variables=trajectory comment=Second RUCOOL Endurance Line deployment contributor_name=Scott Glenn,Oscar Schofield,Josh Kohut,John Kerfoot,Liz Creed,John Kerfoot contributor_role=Principal Investigator,Principal Investigator,Principal Investigator,Technician,Technician,Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_id=-1 deployment_name=ru03-20031203T1800 Easternmost_Easting=-73.52466 featureType=Trajectory geospatial_bounds=POLYGON ((38.71399166666667 -73.62610166666667, 38.71399166666667 -73.62610166666667, 38.71399166666667 -73.62610166666667, 38.71399166666667 -73.62610166666667, 38.71399166666667 -73.62610166666667)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=39.27712666666666 geospatial_lat_min=38.39743333333333 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-73.52466 geospatial_lon_min=-74.02196 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=100.1766 geospatial_vertical_min=-0.2084137 geospatial_vertical_positive=down geospatial_vertical_units=m history=2018-12-12T13:50:30Z: /tmp/tmptt5m4uzy/TrajectoryNetCDFWriter.py1encm_aj.nc created 2018-12-12T13:50:30Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2003/ru03-20031203T1800/data/in/ascii/dbd/ru03_2003_350_6_9_dbd.dat

    id=ru03-20031203T1800-rt infoUrl=https://rucool.marine.rutgers.edu institution=Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=39.27712666666666 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider dataset from the native data file format. No quality control provided. program=RUCOOL Endurance Line project=ELine references=https://rucool.marine.rutgers.edu/downloads/publications/LizCreed_slocumglider_2003.pdf sea_name=Mid-Atlantic Bight source=Observational Slocum glider data from source dba file ru03-2003-350-6-9-dbd(01060009) sourceUrl=(local files) Southernmost_Northing=38.39743333333333 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT12M42S time_coverage_end=2003-12-18T17:40:32Z time_coverage_resolution=PT05S time_coverage_start=2003-12-03T18:00:09Z uuid=138813f4-cee1-4a62-aafc-95c518b27834 Westernmost_Easting=-74.02196

  8. E

    ud_134-20180427T1307 Real Time Raw Time Series

    • slocum-data.marine.rutgers.edu
    Updated Mar 28, 2021
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    John Kerfoot (2021). ud_134-20180427T1307 Real Time Raw Time Series [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/ud_134-20180427T1307-trajectory-raw-rt/index.html
    Explore at:
    Dataset updated
    Mar 28, 2021
    Authors
    John Kerfoot
    Time period covered
    Apr 27, 2018 - May 10, 2018
    Area covered
    Variables measured
    crs, time, depth, m_fin, m_lat, m_lon, m_roll, m_depth, m_pitch, m_x_lmc, and 96 more
    Description

    The goal of this project is to test and deploy a new WetLabs optical sensor on a Slocum glider. The name and type of the sensor are currently classified. The glider will be deployed off the Delaware coast, and run offshore to cross chlorophyll fronts. The glider will profile to a maximum of 100m. The planned mission length is two weeks. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=This deployment is supported by funding from Office of Naval Research. cdm_data_type=Trajectory cdm_trajectory_variables=trajectory contributor_name=Matt Oliver,Mark Moline,Danielle Haulsee,Matthew Breece,Kate Hudson,Joe Gradone,John Kerfoot contributor_role=Principal Investigator,Principal Investigator,Project Scientist,Project Scientist,Project Scientist,Project Scientist,Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_name=ud_134-20180427T1307 Easternmost_Easting=-73.87442 featureType=Trajectory geospatial_bounds=POLYGON ((38.38392666666667 -74.01493499999999, 38.38392666666667 -74.01493499999999, 38.38392666666667 -74.01493499999999, 38.38392666666667 -74.01493499999999, 38.38392666666667 -74.01493499999999)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=38.649008333333335 geospatial_lat_min=38.31083666666667 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-73.87442 geospatial_lon_min=-74.49692166666667 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=74.32405 geospatial_vertical_min=-0.009924618 geospatial_vertical_positive=down geospatial_vertical_units=m history=2021-03-28T01:06:42Z: /tmp/tmpadgn0sda/TrajectoryNetCDFWriter.pykyibbusr.nc created 2021-03-28T01:06:42Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2018/ud_134-20180427T1307/data/in/ascii/sbd/ud_134_2018_120_0_9_sbd.dat

    id=ud_134-20180427T1307 infoUrl=https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu institution=University of Delaware instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=38.649008333333335 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. No quality control provided. program=Office of Naval Research project=Office of Naval Research Bioluminescence references=https://sites.udel.edu/ceoe-moliver/,https://www.udel.edu/academics/colleges/ceoe/departments/smsp/,https://rucool.marine.rutgers.edu sea_name=Mid-Atlantic Bight source=Observational Slocum glider data from source dba file ud_134-2018-120-0-9-sbd(02160009) sourceUrl=(local files) Southernmost_Northing=38.31083666666667 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT02M20.83615S time_coverage_end=2018-05-10T14:57:29Z time_coverage_resolution=PT17S time_coverage_start=2018-04-27T13:11:40Z uuid=2350c99e-9114-4784-944d-b58518cbd790 Westernmost_Easting=-74.49692166666667 wmo_id=4801947

  9. E

    ru29-20221116T1326 Delayed Mode Science Profiles

    • slocum-data.marine.rutgers.edu
    Updated Mar 8, 2023
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    Rutgers Center for Ocean Observing Leadership Glider Data Team (2023). ru29-20221116T1326 Delayed Mode Science Profiles [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/ru29-20221116T1326-profile-sci-delayed/index.html
    Explore at:
    Dataset updated
    Mar 8, 2023
    Dataset authored and provided by
    Rutgers Center for Ocean Observing Leadership Glider Data Team
    Time period covered
    Nov 16, 2022 - Dec 7, 2022
    Area covered
    Variables measured
    u, v, crs, time, depth, m_roll, density, m_pitch, latitude, platform, and 71 more
    Description

    The Challenger Glider Mission is a re-creation of the first global scientific ocean survey conducted by the HMS Challenger from 1872-1876. The goals of the mission are to establish a collaborative international network of autonomous underwater glider ports, to assess global ocean model predictive skill while contributing real-time profile data for assimilation in ocean forecast models by operational centers worldwide, and to crowd source student-based ocean research and discovery. This glider is providing temperature, conductivity, salinity, density and current profile observations. The current profiles are logged via external Nortek AD2CP files and are not available in this real-time dataset. RU29s planned mission extends from the US Virgin Islands, British Virgin Islands, Anguilla, St. Martin (Fr), Sint Maarten (NED), St. Barthélemy (Fr), Antigua and Barbuda, St. Kitts and Nevis, and Guadeloupe, areas commonly impacted by tropical cyclones. Real-time datasets will include CTD data that will be provided to the IOOS Glider DAC and GTS to support ocean and atmospheric weather forecasting. Delayed mode dataset. _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.1 acknowledgment=Funding and support provided by the G. Unger Vetlesen Foundation with additional support from OCOVI, CARICOOS, and the Agoa Sanctuary and Parc Naturel Marin de la Martinique – French Agency of Biodiversity cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id cdm_trajectory_variables=trajectory comment=Deployed by Joseph Gradone, Jackie Veatch, Jerome Couvat, with Captain Bruno Garel of the Parc Naturel Marin de la Martinique aboard MADIWAK out of Fort-de-France, Martinique French West Indies. contributor_name=Joe Gradone, Doug Wilson, Travis Miles, Scott Glenn, Oscar Schofield, Magali Combes, Chip Haldeman, Nicole Waite, Dave Aragon, Brian Buckingham, Kaycee Coleman, John Kerfoot, Laura Nazzaro, Lori Garzio contributor_role=Graduate Student and Pilot, Science and Operational Support, Principal Investigator, Principal Investigator, Principal Investigator, Collaborator, Pilot, Pilot, Pilot, Pilot, Pilot, Data Management, Data Management, Data Management Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=temperature,depth,time&time>=max(time)-1days&temperature!=NaN&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse deployment_name=ru29-20221116T1326 Easternmost_Easting=-60.96029882432147 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((14.53662069180008 -61.10105386056798, 14.53662069180008 -61.09987896947788, 14.53569340580118 -61.09987896947788, 14.53569340580118 -61.10105386056798, 14.53662069180008 -61.10105386056798)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=15.158633801270186 geospatial_lat_min=13.424250429519208 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-60.96029882432147 geospatial_lon_min=-61.32797666666667 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_vertical_max=952.1712 geospatial_vertical_min=-0.0497092 geospatial_vertical_positive=down geospatial_vertical_resolution=0 geospatial_vertical_units=m gts_ingest=True history=2023-03-08T15:48:32Z: /tmp/tmpxfilay43/ru29_20221207T180920Z_dbd6olgytzk.nc created 2023-03-08T15:48:32Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2022/ru29-20221116T1326/data/in/ascii/dbd/ru29_2022_336_0_77_dbd.dat

    id=ru29-20221116T1326 infoUrl=https://rucool.marine.rutgers.edu institution=Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 ioos_regional_association=MARACOOS keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=15.158633801270186 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. Additional quality control variables provided where applicable. Thresholds used for quality control flags are under development. Delayed mode dataset. program=Challenger project=Challenger references=https://rucool.marine.rutgers.edu sea_name=Caribbean Sea source=Observational Slocum glider data from source dba file ru29-2022-336-0-77-dbd(06610077) sourceUrl=(local files) Southernmost_Northing=13.424250429519208 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file, profile_id, profile_lat, profile_lon, profile_time time_coverage_duration=PT12M33.70884S time_coverage_end=2022-12-07T18:15:36Z time_coverage_resolution=PTS time_coverage_start=2022-11-16T13:29:51Z uuid=0418b8d3-f138-4f78-b67d-1adb575d7d20 Westernmost_Easting=-61.32797666666667 wmo_id=4802960 wmo_platform_code=4802960

  10. E

    ru26d-20190905T1802 Delayed Mode Raw Time Series

    • erddap.maracoos.org
    • data.ioos.us
    • +3more
    Updated Feb 6, 2020
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    John Kerfoot (2020). ru26d-20190905T1802 Delayed Mode Raw Time Series [Dataset]. https://erddap.maracoos.org/erddap/info/ru26d-20190905T1802-trajectory-raw-delayed/index.html
    Explore at:
    Dataset updated
    Feb 6, 2020
    Authors
    John Kerfoot
    Time period covered
    Sep 5, 2019 - Dec 28, 2019
    Area covered
    Variables measured
    crs, time, c_fin, depth, m_fin, m_lat, m_lon, c_roll, m_roll, c_pitch, and 42 more
    Description

    Sea Water Ocean Topography (SWOT) is a radar interferometry mission making SSH measurements over a swath 120 km wide. There is a nadir gap of 20 km where the error from interferometry is not meeting science requirement. The mission's calval requirement is to validate the along-track SSH performance in terms of a wavenumber spectrum of the measurement error by comparison to in-situ measurement. The current candidate for the in-situ measurement is an array of gliders along the center of a swath to resolve the dynamic height at wavelengths of 15-150 km. This will consist of 20 station keeping gliders 7.5 km apart. An OSSE study suggests that a station-keeping glider making vertical loop of the upper 500 m of the water column in 2 hours can meet the requirement of providing quasi-synoptic observations of the dynamic height from the glider array for comparison with the SWOT snapshot measurement of SSH from overflight. The primary objective of the deployment is to test the capability of gliders to retrieve the upper ocean dynamic height time series derived from the M1 moo ring covering the upper 300 m of the water column. Another objective is to make simultaneous measurement of the SSH via a GPS buoy and the bottom pressure via a bottom-pressure recorder. These measurements will allow us to derive the steric component of SSH and compare to the hydrographic measurement by the mooring and gliders. This dataset contains Conductivity, Temperature and Depth (CTD) measurements. The glider will be deployed in Monterey Bay and transect 300km west southwest to a set of moorings and maintain a presence inside a pre-defined box. The glider will be deployed for approximately 3 months. High-resolution delayed-mode/recovered dataset. acknowledgment=Deployment funded by the NASA Jet Propulsion Laboratory cdm_data_type=Trajectory cdm_trajectory_variables=trajectory comment=Deployed by Ian Robbins aboard the R/V Sheila B out of Moss Landing Marine Laboratories. Recovered by Ian Robbins out of Moss Landing Marine Laboratory. contributor_name=Oscar Schofield,Yi Chao,Nicole Waite,David Aragon,John Kerfoot,Laura Nazzaro contributor_role=Principal Investigator,Principal Investigator,Technician,Technician,Data Manager,Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3, NCCSV-1.2 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_id=577 deployment_name=ru26d-20190905T1802 Easternmost_Easting=-121.87589333333332 featureType=Trajectory geospatial_bounds=POLYGON ((36.79660666666667 -121.8780433333333, 36.79660666666667 -121.8759233333333, 36.79431 -121.8759233333333, 36.79431 -121.8780433333333, 36.79660666666667 -121.8780433333333)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=36.906315 geospatial_lat_min=35.838433333333334 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-121.87589333333332 geospatial_lon_min=-125.43890333333333 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=954.4981 geospatial_vertical_min=-4.435424 geospatial_vertical_positive=down geospatial_vertical_units=m history=2020-02-06T19:31:30Z: /tmp/tmpkjtx93tj/TrajectoryNetCDFWriter.pyl_xkbskq.nc created 2020-02-06T19:31:30Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2019/ru26d-20190905T1802/data/in/ascii/dbd/ru26d_2019_361_0_0_dbd.dat

    id=ru26d-20190905T1802 infoUrl=https://rucool.marine.rutgers.edu institution=Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 ioos_regional_association=MARACOOS keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=36.906315 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Delayed-mode/recovered raw Slocum glider dataset from the native data file format. No quality control provided. program=NASA Sea Water and Ocean Topography project=NASA SWOT references=https://swot.jpl.nasa.gov/oceanography.htm,https://rucool.marine.rutgers.edu/,https://ioos.noaa.gov/wp-content/uploads/2015/10/Manual-for-QC-of-Glider-Data_05_09_16.pdf sea_name=Coastal Waters of California source=Observational Slocum glider data from source dba file ru26d-2019-361-0-0-dbd(00340000) sourceUrl=(local files) Southernmost_Northing=35.838433333333334 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT20M11.9603S time_coverage_end=2019-12-28T17:12:11Z time_coverage_resolution=PT02S time_coverage_start=2019-09-05T17:22:18Z uuid=84e4a221-d469-4d67-b3e2-e81e8323b35f Westernmost_Easting=-125.43890333333333 wmo_id=4802966

  11. E

    Distance to Nearest Coastline: 0.04-Degree Grid: Land

    • pae-paha.pacioos.hawaii.edu
    • data.ioos.us
    • +1more
    Updated Jul 12, 2012
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    NASA Ocean Biology Processing Group (OBPG) (2012). Distance to Nearest Coastline: 0.04-Degree Grid: Land [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/dist2coast_4deg_land/index.html
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    Dataset updated
    Jul 12, 2012
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    NASA Ocean Biology Processing Group (OBPG)
    Area covered
    Variables measured
    dist, latitude, longitude
    Description

    A global data set of land distances from the nearest coastline. NASA's Ocean Biology Processing Group (OBPG) generated this data set using the Generic Mapping Tools (GMT) software package. Distances were computed with GMT using its intermediate-resolution coastline and then gridded globally at a spatial resolution of 0.04 degrees. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=These data are provided by the NASA Goddard Space Flight Center (GSFC) Ocean Biology Processing Group (OBPG). contributor_email=richard.stumpf@noaa.gov contributor_institution=NOAA National Ocean Service (NOS) contributor_name=Richard P. Stumpf contributor_role=originator contributor_type=person Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2021-03-29 drawLandMask=under Easternmost_Easting=179.98000000000002 geospatial_bounds=POLYGON ((-90.0 -180.0, 90.0 -180.0, 90.0 180.0, -90.0 180.0, -90.0 -180.0)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=89.97999999999999 geospatial_lat_min=-89.98 geospatial_lat_resolution=0.039999999999999994 geospatial_lat_units=degrees_north geospatial_lon_max=179.98000000000002 geospatial_lon_min=-179.98 geospatial_lon_resolution=0.04 geospatial_lon_units=degrees_east history=2012-07-12T00:00:00Z Downloaded XYZ ASCII text from NASA/GSFC and converted to NetCDF (J. Maurer). id=dist2coast_4deg_land infoUrl=https://oceancolor.gsfc.nasa.gov/docs/distfromcoast/ institution=NASA Ocean Biology Processing Group (OBPG) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=location keywords_vocabulary=GCMD Science Keywords locations=Geographic Region > Global locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/dist2coast_4deg_land.html naming_authority=org.pacioos nco_openmp_thread_number=1 Northernmost_Northing=89.97999999999999 platform=Models/Analyses > Data Analysis platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://oceancolor.gsfc.nasa.gov/docs/distfromcoast/ source=Global Self-consistent, Hierarchical, High-resolution Shoreline Database (GSHHS) sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/dist2coast_4deg_land Southernmost_Northing=-89.98 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_duration=P0D time_coverage_resolution=P0D Westernmost_Easting=-179.98

  12. E

    ru33-20180801T1323 Delayed Mode Science Profiles

    • slocum-data.marine.rutgers.edu
    Updated Mar 2, 2021
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    John Kerfoot (2021). ru33-20180801T1323 Delayed Mode Science Profiles [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/fi/info/ru33-20180801T1323-profile-sci-delayed/index.html
    Explore at:
    Dataset updated
    Mar 2, 2021
    Authors
    John Kerfoot
    Time period covered
    Aug 1, 2018 - Oct 9, 2018
    Area covered
    Variables measured
    crs, cdom, time, depth, beam_c, m_roll, density, m_pitch, latitude, platform, and 58 more
    Description

    Deployment to sample the Mid Atlantic Summer Cold Pool in order to validate regional and global numerical ocean models and to investigate the Cold Pool's role in modulating hurricane intensity. This dataset includes CTD, chlorlophyll a, backscatter and colored dissolved organic matter, beam c, particle load and dissolved oxygen measurements. Delayed mode dataset. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=This deployment supported by National Oceanic and Atmospheric Administration Integrated Ocean Observing System cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id cdm_trajectory_variables=trajectory comment=Deployed by Travis Miles out of AC Sea Tow with Kaycee and Karolina. Glider operated by the Rutgers University Center for Ocean Observing Leadership, Rutgers University, USA contributor_name=Travis Miles, Scott Glenn, Dave Aragon, Nicole Waite, Chip Haldeman, John Kerfoot, Laura Nazzaro contributor_role=Principal Investigator, Principal Investigator, Glider Pilot, Glider Pilot, Glider Pilot, Data Manager, Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=temperature,depth,time&time>=max(time)-1days&temperature!=NaN&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse deployment=ru33-20180808T1323 Easternmost_Easting=-72.72135833333333 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((39.23755831317285 -74.34869540645641, 39.23755831317285 -74.348588564244, 39.2375022071237 -74.348588564244, 39.2375022071237 -74.34869540645641, 39.23755831317285 -74.34869540645641)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=39.493449086283384 geospatial_lat_min=38.537344999999995 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-72.72135833333333 geospatial_lon_min=-74.34869540645641 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=90.75719 geospatial_vertical_min=-0.04962143 geospatial_vertical_positive=down geospatial_vertical_units=m history=2021-03-02T04:04:32Z: /tmp/tmp9g5cw4n1/ru33_20181009T175630Z_dbdtdjl86rw.nc created 2021-03-02T04:04:32Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2018/ru33-20180801T1323/data/in/ascii/dbd/ru33_2018_281_0_0_dbd.dat

    id=ru33-20180808T1323-rt infoUrl=https://rucool.marine.rutgers.edu institution=Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 ioos_regional_association=MARACOOS keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=39.493449086283384 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. No quality control provided. Delayed mode dataset. program=MARACOOS project=MARACOOS references=https://rucool.marine.rutgers.edu,https://maracoos.org sea_name=Mid-Atlantic Bight source=Observational Slocum glider data from source dba file ru33-2018-281-0-0-dbd(00170000) sourceUrl=(local files) Southernmost_Northing=38.537344999999995 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file, profile_id, profile_lat, profile_lon, profile_time time_coverage_duration=PT01M03.91598S time_coverage_end=2018-10-09T17:57:02Z time_coverage_resolution=PT01S time_coverage_start=2018-08-01T13:44:01Z uuid=d81f30ec-ce13-427d-88da-1a6082ce506d Westernmost_Easting=-74.34869540645641 wmo_id=4802944

  13. E

    ru28-20150714T1445 Delayed Mode Raw Time Series

    • slocum-data.marine.rutgers.edu
    Updated Jul 18, 2024
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    John Kerfoot (2024). ru28-20150714T1445 Delayed Mode Raw Time Series [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/ru28-20150714T1445-trajectory-raw-delayed/index.html
    Explore at:
    Dataset updated
    Jul 18, 2024
    Authors
    John Kerfoot
    Time period covered
    Jul 14, 2015 - Aug 3, 2015
    Area covered
    Variables measured
    crs, time, c_fin, depth, m_fin, m_lat, m_lon, c_roll, m_roll, c_pitch, and 83 more
    Description

    Deployment to measure seasonal dissolved oxygen levels in the shallow coastal waters of New Jersey as part of the New Jersey Department of Environmental Protection's water quality monitoring program. Dataset contains temperature, salinity, density, chlorophyll a, CDOM and oxygen concentration profiles _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=Funding provided by the New Jersey Environmental Agency. cdm_data_type=Trajectory cdm_trajectory_variables=trajectory comment=Deployed out of Belmar, NJ aboard an NJDEP vessel by Tina Haskins, Liam and Andrenette. Recovered by Josh Kohut and Chip Haldeman aboard an NJDEP vessel out of Atlantic City, NJ. contributor_name=Josh Kohut, Scott Glenn, Oscar Schofield, David Aragon, Tina Haskins, Chip Haldeman, John Kerfoot contributor_role=Principal Investigator, Principal Investigator, Principal Investigator, Glider Pilot, Glider Pilot, Glider Pilot, Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_id=455 deployment_name=ru28-20150714T1445 Easternmost_Easting=-73.84494833333333 featureType=Trajectory geospatial_bounds=POLYGON ((40.31777166666667 -73.85644166666665, 40.31777166666667 -73.84494833333333, 40.297435 -73.84494833333333, 40.297435 -73.85644166666665, 40.31777166666667 -73.85644166666665)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=40.33193000000001 geospatial_lat_min=38.85616 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-73.84494833333333 geospatial_lon_min=-74.71532666666667 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_vertical_max=29.54235 geospatial_vertical_min=-0.1885395 geospatial_vertical_positive=down geospatial_vertical_resolution=0 geospatial_vertical_units=m gts_ingest=True history=2024-07-18T13:08:05Z: /tmp/tmp72qtl4po/TrajectoryNetCDFWriter.pyup3tvha6.nc created 2024-07-18T13:08:05Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2015/ru28-20150714T1445/data/in/ascii/dbd/ru28_2015_194_6_9_dbd.dat

    id=ru28-20150714T1445 infoUrl=https://rucool.marine.rutgers.edu,https://www.nj.gov/dep/bmw/glider.html institution=Rutgers University,NJDEP,EPA instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=40.33193000000001 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider dataset from the native data file format. No quality control provided. Delayed mode dataset program=NJDEP project=NJDEP references=https://ioos.noaa.gov/wp-content/uploads/2015/10/Manual-for-QC-of-Glider-Data_05_09_16.pdf sea_name=Mid-Atlantic Bight source=Observational Slocum glider data from source dba file ru28-2015-194-6-9-dbd(01260009) sourceUrl=(local files) Southernmost_Northing=38.85616 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT02H05M24.86575S time_coverage_end=2015-08-03T14:25:20Z time_coverage_resolution=PTS time_coverage_start=2015-07-14T14:45:30Z uuid=8f8b2d22-4bd5-4b8c-8982-540c0be7a0cc Westernmost_Easting=-74.71532666666667 wmo_id=4801925 wmo_platform_code=4801925

  14. E

    ru32-20160810T1309 Delayed Mode Science Profiles

    • slocum-data.marine.rutgers.edu
    Updated Feb 12, 2025
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    Rutgers Center for Ocean Observing Leadership Glider Data Team (2025). ru32-20160810T1309 Delayed Mode Science Profiles [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/ru32-20160810T1309-profile-sci-delayed/index.html
    Explore at:
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Rutgers Center for Ocean Observing Leadership Glider Data Team
    Time period covered
    Aug 10, 2016 - Aug 19, 2016
    Area covered
    Variables measured
    u, v, crs, cdom, time, depth, m_roll, density, m_pitch, latitude, and 94 more
    Description

    Deployment of a Slocum glider to perform seasonal surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, and Aanderaa dissolved oxygen sensor. Delayed mode dataset. _NCProperties=version=2,netcdf=4.9.2,hdf5=1.14.4 acknowledgment=This deployment is supported by the New Jersey Department of Environmental Protection. cdm_data_type=TrajectoryProfile cdm_profile_variables=profile_id cdm_trajectory_variables=trajectory comment=Deployed by Chip Haldeman, Cassidy G., Sam, Liam out of Belmar aboard NJDEP. contributor_name=Josh Kohut,Scott Glenn,Oscar Schofield,Dave Aragon,Nicole Waite,Chip Haldeman,John Kerfoot,Laura Nazzaro,Lori Garzio contributor_role=Principal Investigator,Principal Investigator,Principal Investigator,Glider Pilot,Glider Pilot,Glider Pilot,Data Management,Data Management,Data Management Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=temperature,depth,time&time>=max(time)-1days&temperature!=NaN&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse deployment=ru32-20160810T1309 Easternmost_Easting=-73.84477333333332 featureType=TrajectoryProfile geospatial_bounds=POLYGON ((39.26562 -74.20183666666667, 39.26562 -74.20183666666667, 39.26562 -74.20183666666667, 39.26562 -74.20183666666667, 39.26562 -74.20183666666667)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=40.37376666666667 geospatial_lat_min=39.26562 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-73.84477333333332 geospatial_lon_min=-74.27144626696547 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_vertical_max=27.35614 geospatial_vertical_min=0.05953996 geospatial_vertical_positive=down geospatial_vertical_resolution=0 geospatial_vertical_units=m gts_ingest=True history=2025-02-12T17:06:26Z: /tmp/tmpjykwpy8b/ru32_20160819T014341Z_dbdxjxs5lly.nc created 2025-02-12T17:06:26Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2016/ru32-20160810T1309/data/in/ascii/dbd/ru32_2016_228_1_53_dbd.dat 2025-02-12T19:23:38Z: glider_qartod_qc.py 2025-02-12T20:29:19Z: interpolate_depth.py 2025-02-12T21:37:09Z: ctd_hysteresis_test.py 2025-02-12T22:49:36Z: summarize_qartod_flags.py 2025-02-13T01:38:59Z: time_shift.py 2025-02-13T02:56:51Z: add_derived_variables.py id=ru32-20160810T1309 infoUrl=https://rucool.marine.rutgers.edu/,https://www.state.nj.us/dep/wms/bmw/glider.html institution=Rutgers University instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=40.37376666666667 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider time-series dataset from the native data file format. Additional quality control variables provided where applicable. Thresholds used for quality control flags are under development. Delayed mode dataset. program=NJDEP project=NJDEP references=https://www.state.nj.us/dep/wms/bmw/glider.html,https://rucool.marine.rutgers.edu/data/underwater-gliders/ sea_name=Mid Atlantic Bight source=Observational Slocum glider data from source dba file ru32-2016-228-1-53-dbd(00260053) sourceUrl=(local files) Southernmost_Northing=39.26562 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file, profile_id, profile_lat, profile_lon, profile_time time_coverage_duration=PT41.48843S time_coverage_end=2016-08-19T01:44:02Z time_coverage_resolution=PTS time_coverage_start=2016-08-10T13:14:36Z uuid=7c648245-b9e6-4921-a0cf-6279efbbe96f Westernmost_Easting=-74.27144626696547 wmo_id=4801943 wmo_platform_code=4801943

  15. E

    Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Reanalysis:...

    • pae-paha.pacioos.hawaii.edu
    Updated Mar 8, 2023
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    Brian S. Powell (2023). Regional Ocean Modeling System (ROMS): Main Hawaiian Islands: Reanalysis: 2-D Variables [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/roms_hiig_reanalysis_ssh/index.html
    Explore at:
    Dataset updated
    Mar 8, 2023
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Brian S. Powell
    Time period covered
    Jan 1, 2009 - Dec 28, 2020
    Area covered
    Variables measured
    time, zeta, latitude, longitude
    Description

    Regional Ocean Modeling System (ROMS) 3-hourly data assimilating reanalysis for the region surrounding the main Hawaiian Islands at approximately 4-km resolution. Boundary conditions provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Data are assimilated over the previous 3 days using all available observations to improve the model estimate of current ocean state (its nowcast). Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity. acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Brian Powell (powellb@hawaii.edu). Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2023-03-08 drawLandMask=off Easternmost_Easting=-152.5193 geospatial_bounds=POLYGON ((17.0184 -163.831, 23.9824 -163.831, 23.9824 -152.519, 17.0184 -152.519, 17.0184 -163.831)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=23.98239 geospatial_lat_min=17.01843 geospatial_lat_resolution=0.03589670103092783 geospatial_lat_units=degrees_north geospatial_lon_max=-152.5193 geospatial_lon_min=-163.8307 geospatial_lon_resolution=0.03847414965986402 geospatial_lon_units=degrees_east history=2018-11-27T00:00:00Z New dataset. 2023-03-08T16:32:00Z Dataset replaced with new version (v2); prior (v1) time coverage: 2007-07-11T00:00:00Z to 2017-05-04T21:00:00Z; new (v2) time coverage: 2009-01-01T00:00:00Z to 2020-12-28T21:00:00Z. id=roms_hiig_reanalysis infoUrl=https://doi.org/10.5194/gmd-2018-98 institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=oceans keywords_vocabulary=GCMD Science Keywords locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/roms_hiig_reanalysis.html naming_authority=org.pacioos Northernmost_Northing=23.98239 platform=Models/Analyses > > Reanalysis Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.myroms.org source=Regional Ocean Modeling System (ROMS), https://www.myroms.org sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/roms_hiig_reanalysis Southernmost_Northing=17.01843 standard_name_vocabulary=CF Standard Name Table v39 time_coverage_end=2020-12-28T21:00:00Z time_coverage_resolution=PT3H time_coverage_start=2009-01-01T00:00:00Z Westernmost_Easting=-163.8307

  16. E

    ru28-20130813T1436 Delayed Mode Raw Time Series

    • slocum-data.marine.rutgers.edu
    Updated Apr 13, 2019
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    John Kerfoot (2019). ru28-20130813T1436 Delayed Mode Raw Time Series [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/fi/info/ru28-20130813T1436-trajectory-raw-delayed/index.html
    Explore at:
    Dataset updated
    Apr 13, 2019
    Authors
    John Kerfoot
    Time period covered
    Aug 16, 2013 - Aug 27, 2013
    Area covered
    Variables measured
    crs, time, c_fin, depth, m_fin, m_lat, m_lon, c_roll, m_roll, c_pitch, and 82 more
    Description

    Deployment to measure seasonal dissolved oxygen levels in the shallow coastal waters of New Jersey. Dataset contains temperature, salinity, density, chlorophyll a, CDOM and oxygen concentration profiles _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=Funding provided by the New Jersey Environmental Agency. cdm_data_type=Trajectory cdm_trajectory_variables=trajectory comment=Deployed by Colin Dobson, Filipa Carvahlo, and Jeff aboard NJDEP vessel out of Sandy Hook, NJ. Recovered out of Cape May Inlet by Nilsen Stranskov and Colin Dobson aboard NJDEP vessel. contributor_name=Josh Kohut, Scott Glenn, Oscar Schofield, David Aragon, Tina Haskins, Chip Haldeman, John Kerfoot contributor_role=Principal Investigator, Principal Investigator, Principal Investigator, Glider Pilot, Glider Pilot, Glider Pilot, Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_id=381 deployment_name=ru28-20130813T1436 Easternmost_Easting=-73.91197000000001 featureType=Trajectory geospatial_bounds=POLYGON ((39.685525 -74.09115333333332, 39.685525 -74.08820666666666, 39.68166166666666 -74.08820666666666, 39.68166166666666 -74.09115333333332, 39.685525 -74.09115333333332)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=39.84062333333333 geospatial_lat_min=38.85831833333334 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-73.91197000000001 geospatial_lon_min=-74.64450833333333 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=0 geospatial_vertical_max=30.27666 geospatial_vertical_min=0.0 geospatial_vertical_positive=down geospatial_vertical_units=m history=2019-04-13T14:08:44Z: /tmp/tmpy2kdagy4/TrajectoryNetCDFWriter.py1uth02to.nc created 2019-04-13T14:08:44Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2013/ru28-20130813T1436/data/in/ascii/dbd/ru28_2013_224_3_99_dbd.dat

    id=ru28-20130813T1436 infoUrl=https://rucool.marine.rutgers.edu,https://www.nj.gov/dep/bmw/glider.html institution=Rutgers University,NJDEP,EPA instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=39.84062333333333 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider dataset from the native data file format. No quality control provided. program=NJDEP project=NJDEP references=https://ioos.noaa.gov/wp-content/uploads/2015/10/Manual-for-QC-of-Glider-Data_05_09_16.pdf sea_name=Mid-Atlantic Bight source=Observational Slocum glider data from source dba file ru28-2013-224-3-99-dbd(00570099) sourceUrl=(local files) Southernmost_Northing=38.85831833333334 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT38M28.25363S time_coverage_end=2013-08-27T12:21:14Z time_coverage_resolution=PTS time_coverage_start=2013-08-16T23:01:36Z uuid=5eb98eb3-5f7e-4d3a-9114-bfabc1ac6207 Westernmost_Easting=-74.64450833333333 wmo_id=4801505

  17. E

    Simulating WAves Nearshore (SWAN) Regional Wave Model: Big Island, Lon+/-180...

    • pae-paha.pacioos.hawaii.edu
    Updated Jan 15, 2025
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    Kwok Fai Cheung (2025). Simulating WAves Nearshore (SWAN) Regional Wave Model: Big Island, Lon+/-180 [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/swan_bigi_lon180/index.html
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Kwok Fai Cheung
    Time period covered
    Jan 5, 2016 - Aug 23, 2025
    Area covered
    Variables measured
    mdir, mper, pdir, pper, shgt, time, depth, latitude, longitude
    Description

    Simulating WAves Nearshore (SWAN) regional wave model 7-day output with a 5-day hourly forecast for the Big Island of Hawaii at approximately 500-m resolution. This high-resolution model is utilized to capture shallow water effects and nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing. It is run directly after the Hawaii regional WaveWatch III (WW3) wave model (ww3_hawaii) has completed. Please note that some of the nested model setup is still in the testing and validation phase. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Kwok Fai Cheung (cheung@hawaii.edu). Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2025-05-08 defaultGraphQuery=shgt drawLandMask=off Easternmost_Easting=-154.7 geospatial_bounds=POLYGON ((18.85 -156.2, 20.35 -156.2, 20.35 -154.7, 18.85 -154.7, 18.85 -156.2)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=20.35 geospatial_lat_min=18.85 geospatial_lat_resolution=0.005 geospatial_lat_units=degrees_north geospatial_lon_max=-154.7 geospatial_lon_min=-156.2 geospatial_lon_resolution=0.005 geospatial_lon_units=degrees_east history=2010-06-29T00:00:00Z New dataset. 2016-01-07T00:00:00Z Resolution doubled from 1-km down to 500-m; aggregation now begins at 2016-01-05T21:00:00Z. 2025-01-15T22:15:00Z Dates moved forward by one day to correct for leap year in model runs for March 1 through December 31, 2024. 2025-05-08T21:00:00Z Modified standard_name of mdir and pdir variables from sea_surface_wave_from_direction to sea_surface_wave_mean_from_direction and sea_surface_wave_from_direction_at_variance_spectral_density_maximum to indicate mean and peak wave directions. Modified standard_name of mper variable from sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment to sea_surface_wave_mean_period. ; FMRC Best Dataset id=swan_bigi infoUrl=https://www.pacioos.hawaii.edu/waves/model-hawaiiisland/ institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=oceans keywords_vocabulary=GCMD Science Keywords location=Proto fmrc:SWAN_Big_Island_Regional_Wave_Model locations=Continent > North America > United States Of America > Hawaii, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Big Island, Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Hawaii Island locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/swan_bigi.html naming_authority=org.pacioos Northernmost_Northing=20.35 platform=Models/Analyses > > Operational Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=http://swanmodel.sourceforge.net source=Simulating WAves Nearshore (SWAN) numerical wave model sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/swan_bigi/SWAN_Big_Island_Regional_Wave_Model_best.ncd Southernmost_Northing=18.85 standard_name_vocabulary=CF Standard Name Table v39 testOutOfDate=now+105hours time_coverage_end=2025-08-23T18:00:00Z time_coverage_resolution=PT1H time_coverage_start=2016-01-05T21:00:00Z Westernmost_Easting=-156.2

  18. E

    Weather Research and Forecasting (WRF) Regional Atmospheric Model: CNMI

    • pae-paha.pacioos.hawaii.edu
    • data.ioos.us
    • +3more
    Updated Aug 1, 2017
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    Yi-Leng Chen (2017). Weather Research and Forecasting (WRF) Regional Atmospheric Model: CNMI [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/wrf_cnmi/index.html
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    Dataset updated
    Aug 1, 2017
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Yi-Leng Chen
    Time period covered
    Jun 14, 2013 - Aug 22, 2025
    Area covered
    Variables measured
    Pair, Qair, Tair, rain, time, Uwind, Vwind, swrad, latitude, longitude, and 1 more
    Description

    Weather Research and Forecasting (WRF) mesoscale numerical weather prediction model 7-day hourly forecast for the region surrounding the Commonwealth of the Northern Mariana Islands (CNMI) at approximately 12-km resolution. Uses the Advanced Research WRF (ARW) dynamical solver developed and maintained by the Mesoscale and Microscale Meteorology Division of the National Center for Atmospheric Research (NCAR). Model runs produced at the University of Hawaii by Yi-Leng Chen. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Yi-Leng Chen (yileng@hawaii.edu). Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2021-03-25 drawLandMask=under Easternmost_Easting=149.0728 geospatial_bounds=POLYGON ((9.96815 115.934, 27.0046 115.934, 27.0046 149.073, 9.96815 149.073, 9.96815 115.934)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=27.00456 geospatial_lat_min=9.968155 geospatial_lat_units=degrees_north geospatial_lon_max=149.0728 geospatial_lon_min=115.9337 geospatial_lon_units=degrees_east history=2013-06-14T00:00:00Z Native curvilinear WRF re-gridded to regular grid by PacIOOS (M. Hsu). 2017-08-23T00:00:00Z Native curvilinear WRF now re-gridded to regular grid by PacIOOS ROMS group (D. Partridge). ; FMRC Best Dataset id=wrf_cnmi infoUrl=https://www.soest.hawaii.edu/MET/Faculty/wrf/arw/ institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=climatologyMeteorologyAtmosphere keywords_vocabulary=GCMD Science Keywords location=Proto fmrc:WRF_CNMI_Regional_Atmospheric_Model locations=Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Guam, Ocean > Pacific Ocean > Western Pacific Ocean > Micronesia > Northern Mariana Islands > Commonwealth of the Northern Mariana Islands (CNMI) locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/wrf_cnmi.html naming_authority=org.pacioos NCO=netCDF Operators version 4.9.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco) Northernmost_Northing=27.00456 platform=Models/Analyses > > Operational Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://www.mmm.ucar.edu/weather-research-and-forecasting-model; http://www2.mmm.ucar.edu/wrf/users/ source=Advanced Research Weather Research and Forecasting (WRF-ARW) numerical weather prediction model sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/wrf_cnmi/WRF_CNMI_Regional_Atmospheric_Model_best.ncd Southernmost_Northing=9.968155 standard_name_vocabulary=CF Standard Name Table v39 testOutOfDate=now+4days time_coverage_end=2025-08-22T00:00:00Z time_coverage_resolution=PT1H time_coverage_start=2013-06-14T12:00:00Z Westernmost_Easting=115.9337

  19. E

    WaveWatch III (WW3) Global Wave Model, Lon+/-180

    • pae-paha.pacioos.hawaii.edu
    Updated Dec 17, 2021
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    Kwok Fai Cheung (2021). WaveWatch III (WW3) Global Wave Model, Lon+/-180 [Dataset]. https://pae-paha.pacioos.hawaii.edu/erddap/info/ww3_global_lon180/index.html
    Explore at:
    Dataset updated
    Dec 17, 2021
    Dataset provided by
    Pacific Islands Ocean Observing System (PacIOOS)
    Authors
    Kwok Fai Cheung
    Time period covered
    Jan 1, 2017 - Aug 16, 2025
    Area covered
    Variables measured
    Tdir, Thgt, Tper, sdir, shgt, sper, time, wdir, whgt, wper, and 3 more
    Description

    Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) 7-day model with a 5-day hourly forecast at approximately 50-km or 0.5-deg resolution. The global model is forced with NOAA/NCEP's Global Forecast System (GFS) winds. This model is designed to capture the large-scale ocean waves and provide spectral boundary conditions for the Hawaii and other Pacific regional WW3 models. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity. _CoordSysBuilder=ucar.nc2.dataset.conv.CF1Convention acknowledgement=The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST). cdm_data_type=Grid comment=Model runs produced by Kwok Fai Cheung (cheung@hawaii.edu). Conventions=CF-1.6, ACDD-1.3 date_metadata_modified=2025-05-08 defaultGraphQuery=Thgt drawLandMask=under Easternmost_Easting=179.5 geospatial_bounds=POLYGON ((-77.5 -180.0, 77.5 -180.0, 77.5 180.0, -77.5 180.0, -77.5 -180.0)) geospatial_bounds_crs=EPSG:4326 geospatial_lat_max=77.5 geospatial_lat_min=-77.5 geospatial_lat_resolution=0.5 geospatial_lat_units=degrees_north geospatial_lon_max=179.5 geospatial_lon_min=-180.0 geospatial_lon_resolution=0.5 geospatial_lon_units=degrees_east history=2010-06-20T00:00:00Z New dataset. 2021-12-17T22:04:00Z Replaced erroneous sdir and wdir values with fill values over the period 2015-12-30 through 2017-07-10. Variable names had changed in source data unnoticed, resulting in directional spreading values in these two variables, not wave directions. 2023-09-11T19:25:00Z Aggregation now begins at 2013-01-01T21:00:00Z; will restore files since 2010-11-07T21:00:00Z if and when space permits. 2024-08-06T19:14:00Z Aggregation now begins at 2017-01-01T21:00:00Z; will restore older files if and when space permits. 2025-05-08T21:00:00Z Modified standard_name of Tdir variable from sea_surface_wave_from_direction to sea_surface_wave_from_direction_at_variance_spectral_density_maximum to indicate peak wave direction. ; FMRC Best Dataset id=ww3_global infoUrl=https://www.pacioos.hawaii.edu/waves/model-global/ institution=Pacific Islands Ocean Observing System (PacIOOS) instrument=Not Applicable > Not Applicable instrument_vocabulary=GCMD Instrument Keywords ISO_Topic_Categories=oceans keywords_vocabulary=GCMD Science Keywords location=Proto fmrc:WaveWatch_III_Global_Wave_Model locations=Geographic Region > Global Ocean locations_vocabulary=GCMD Location Keywords metadata_link=https://www.pacioos.hawaii.edu/metadata/ww3_global.html naming_authority=org.pacioos Northernmost_Northing=77.5 platform=Models/Analyses > > Operational Models platform_vocabulary=GCMD Platform Keywords program=Pacific Islands Ocean Observing System (PacIOOS) project=Pacific Islands Ocean Observing System (PacIOOS) references=https://polar.ncep.noaa.gov/waves/wavewatch/ source=WaveWatch III (WW3) numerical wave model sourceUrl=https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/ww3_global/WaveWatch_III_Global_Wave_Model_best.ncd Southernmost_Northing=-77.5 standard_name_vocabulary=CF Standard Name Table v39 testOutOfDate=now+105hours time_coverage_end=2025-08-16T18:00:00Z time_coverage_resolution=PT1H time_coverage_start=2017-01-01T21:00:00Z Westernmost_Easting=-180.0

  20. E

    bios_minnie-20220324T1344 Real Time Raw Time Series

    • slocum-data.marine.rutgers.edu
    Updated Mar 26, 2022
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    John Kerfoot (2022). bios_minnie-20220324T1344 Real Time Raw Time Series [Dataset]. https://slocum-data.marine.rutgers.edu/erddap/info/bios_minnie-20220324T1344-trajectory-raw-rt/index.html
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    Dataset updated
    Mar 26, 2022
    Authors
    John Kerfoot
    Time period covered
    Mar 24, 2022 - Mar 26, 2022
    Area covered
    Variables measured
    crs, time, c_fin, depth, m_fin, m_lat, m_lon, m_roll, m_depth, m_pitch, and 88 more
    Description

    Glider deployed in support of survey work performed by the R/V Atlantic Explorer. The glider is measuring physical and biogeochemical properties in a 1km patch of ocean to quantify daily rates of nitrate delivery and uptake, oxygen production and utilization, and particle exports near the Bermuda Atlantic Time Series (BATS) site. The Mid-Atlantic Glider Initiative and Collaboration (MAGIC) was launched at BIOS in 2014 to enhance and leverage BIOS’s long-standing ocean measurement programs southeast of Bermuda through the use of autonomous underwater vehicles. The overarching goal of MAGIC is to acquire new high-resolution measurements from underwater gliders to assess the contribution of small-scale processes that sustain the ocean’s biological productivity, and to make those assessments over several years to build a statistically meaningful understanding of them. This real-time dataset contains temperature, salinity, chlorophyll a, optical backscatter and micro turbulence measurements. _NCProperties=version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.3 acknowledgment=This deployment supported by The Simons Foundation International cdm_data_type=Trajectory cdm_trajectory_variables=trajectory comment=Deployed by Ruth Curry and J Chapman aboard the R/V Atlantic Explorer contributor_name=Ruth Curry,J Chapman,John Kerfoot contributor_role=Principal Investigator,Glider Technician,Data Manager Conventions=CF-1.6, COARDS, ACDD-1.3 defaultGraphQuery=longitude,latitude,time&.draw=markers&.marker=6%7C3&.color=0xFFFFFF&.colorBar=Rainbow2%7C%7C%7C%7C%7C&.bgColor=0xffccccff deployment_id=638 deployment_name=bios_minnie-20210517T1725 Easternmost_Easting=-64.49267333333334 featureType=Trajectory geospatial_bounds=POLYGON ((32.14969333333333 -64.50506833333334, 32.14969333333333 -64.49267333333334, 32.13722 -64.49267333333334, 32.13722 -64.50506833333334, 32.14969333333333 -64.50506833333334)) geospatial_bounds_crs=EPSG:4326 geospatial_bounds_vertical_crs=EPSG:5831 geospatial_lat_max=32.30549833333334 geospatial_lat_min=32.13438 geospatial_lat_resolution=0.00001 degree geospatial_lat_units=degrees_north geospatial_lon_max=-64.49267333333334 geospatial_lon_min=-64.63874833333333 geospatial_lon_resolution=0.00001 degree geospatial_lon_units=degrees_east geospatial_verical_resolution=2 geospatial_vertical_max=880.7965 geospatial_vertical_min=0.0 geospatial_vertical_positive=down geospatial_vertical_units=m history=2022-03-26T15:56:55Z: /tmp/tmp1dvudo41/TrajectoryNetCDFWriter.pyrlu5r1uz.nc created 2022-03-26T15:56:55Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_trajectories_to_nc.py /home/coolgroup/slocum/deployments/2022/bios_minnie-20220324T1344/data/in/ascii/sbd/bios_minnie_2022_084_1_0_sbd.dat

    id=bios_minnie-20210517T1725 infoUrl=http://magic.bios.edu/,https://rucool.marine.rutgers.edu institution=Bermuda Institute of Ocean Sciences instrument=In Situ/Laboratory Instruments > Profilers/Sounders > CTD instrument_vocabulary=NASA/GCMD Instrument Keywords Version 8.5 keywords_vocabulary=NASA/GCMD Earth Sciences Keywords Version 8.5 naming_authority=edu.rutgers.rucool ncei_template_version=NCEI_NetCDF_Trajectory_Template_v2.0 Northernmost_Northing=32.30549833333334 platform=In Situ Ocean-based Platforms > AUVS > Autonomous Underwater Vehicles platform_type=Slocum Glider platform_vocabulary=NASA/GCMD Platforms Keywords Version 8.5 processing_level=Raw Slocum glider dataset from the native data file format. No quality control provided. Real-time decimated dataset. program=MAGIC: Mid Atlantic Glider Initiative and Collaboration project=MAGIC: Mid Atlantic Glider Initiative and Collaboration references=https://ioos.noaa.gov/wp-content/uploads/2015/10/Manual-for-QC-of-Glider-Data_05_09_16.pdf sea_name=Northwest Atlantic Ocean source=Observational Slocum glider data from source dba file bios_minnie-2022-084-1-0-sbd(02340000) sourceUrl=(local files) Southernmost_Northing=32.13438 standard_name_vocabulary=CF Standard Name Table v27 subsetVariables=source_file time_coverage_duration=PT03H22M10.80087S time_coverage_end=2022-03-26T14:36:05Z time_coverage_resolution=PT28S time_coverage_start=2022-03-24T13:44:50Z uuid=2341f860-9240-4ded-aa29-8908a5b5dfd4 Westernmost_Easting=-64.63874833333333 wmo_id=4801979 wmo_platform_code=4801979

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(2018). Integrated Ocean Observing System Catalog [Dataset]. https://catalog.civicdataecosystem.org/dataset/integrated-ocean-observing-system-catalog

Integrated Ocean Observing System Catalog

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Dataset updated
Jan 17, 2018
Description

The IOOS Catalog (https://data.ioos.us/) is an open data portal containing IOOS’ portfolio of oceanographic observations and forecast products provided by IOOS’ 11 Regional Associations (RAs), functional Data Assembly Centers (DACs) such as the HF Radar DAC and Glider DAC, and IOOS’ federal partners. The Catalog inventories all IOOS Data Management (DMAC)-compliant data access service endpoints provided by these entities in a single metadata repository, for discovery by end users. The Catalog is populated by ISO 19115 metadata records that describe the observations taken and forecast model outputs produced by the RAs and DACs using DMAC-recommended standard vocabularies and data formats wherever possible (netCDF-CF [1], ACDD [2]). The RAs and DACs publish their metadata to web accessible folders, or OGC CS-W services, and the Catalog harvests metadata from these locations on a daily basis. Because IOOS data provider metadata is often produced in an automated fashion by software reading native data file attributes (such as CF attribution in a netCDF file, for example), a daily automated harvest of the ISO XML metadata is necessary, in order to keep frequently varying information such as dataset time coverage current. The Catalog provides a searchable user graphical user interface (https://data.ioos.us/) for interactive data discovery by users, as well as a native API (https://data.ioos.us/api/3) and OGC CS-W (https://data.ioos.us/csw?service=CSW&request=GetCapabilities) -compatible service for machine-based access to its inventory of data products. Downstream national IOOS products such as the IOOS Environmental Sensor Map (https://sensors.ioos.us) use the Catalog inventory for real-time sensor observation services to include in its map portal. The IOOS Catalog is made up of three main components: the Data Catalog (the public user interface, based on CKAN open data catalog software) the Harvest Registry (an internal site used by data providers to manage metadata harvest sources) the Service Monitor (service uptime monitoring) Additional information about the IOOS Catalog and components, including instructions for IOOS data providers, can be found here: https://ioos.github.io/catalog. Catalog GitHub Repository: https://github.com/ioos/catalog. For information on project development timelines, Catalog source code, or to file an issue, please see the GitHub repo. The current faceted filtering options provided by the CKAN software underlying the Data Catalog are: Location (i.e. geographic bounding box), Organization (e.g. PacIOOS, GLOS, etc) Tags/keywords (e.g. sea_water_temperature, sea_water_electrical_conductivity) Formats (e.g. HTML, SOS, OPeNDAP, etc). Date and time Data providers There is also the option to do a free text search, which will search indexed metadata fields such as dataset title, abstract, keywords, and others and provide matched datasets. The datasets search page provides an option to search by start and/or end time. The CS-W service is provided by pycsw, a Python-based OGC Catalog Service software. It has its own internal search implementation that sometimes gives different results than CKAN’s embedded search, which is powered by the Apache Solr search indexing software. There is a long-term plan to abstract pycsw’s search implementation to allow external pluggable search implementations (including Solr) to interoperate with pycsw but this functionality is not yet available. Partially. The CI_RoleCode in ISO 19115 with a value of "originator" is used as the value of the data provider field. With development of standardized metadata profiles to represent this information in incoming metadata from the IOOS RAs and DACs, the CKAN catalog software could be extended to provide richer filtering options including concepts such as RA or platform operator. For more information on planned work on this, see: https://github.com/ioos/catalog/milestone/7. At the moment, there is not a straightforward technique for this. We hope to address this deficiency in the near future. As part of an upcoming development milestone (https://github.com/ioos/catalog/milestone/7), we will be investigating enhancements to both the CKAN software as well as developing metadata conventions to better enable our data providers to tag oceanographic forecast model output in a distinctive way that could then be represented in the Data Catalog interface to users. Also, the ability to filter data by time coverage should complement a forecast model tagging capability to search for data covering present time onward. Yes. Under the hood, CKAN uses Solr for search, and can accept Solr query strings in either the dataset search on the website or the package_search CKAN API endpoint. CF Standard Names are primarily provided by the cf_standard_names field. An example query is below: https://data.ioos.us/dataset?q=cf_standard_names:"sea_water_pressure" GCMD keywords work somewhat differently and are organized by hierarchy For example a query of https://data.ioos.us/dataset?q=gcmd_keywords:"Earth Science > Oceans > Ocean Chemistry > Chlorophyll" is equivalent to specifying the following values for gcmd_keywords: "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL" "Earth Science>Oceans>Ocean Chemistry>Chlorophyll" "Earth Science > Oceans > Ocean Chemistry > Chlorophyll" The search is hierarchical and can also contain prefixes, i.e. https://data.ioos.us/dataset?q=gcmd_keywords:"Earth Science > Oceans" will find any GCMD keywords underneath it. If you want to search for a suffix with GCMD keywords, you will need to use a wildcard search: *Water\ Temperature' Note here the use of the escaped space per the Lucene query syntax. An example request to the CKAN API to query both GCMD Keywords starting with a value of "EARTH SCIENCE > OCEANS > OCEAN SCIENCE" and a CF standard name of "sea_water_electrical_conductivity" using cURL is below curl 'https://data.ioos.us/api/3/action/package_search?fq=gcmd_keywords:"EARTH+SCIENCE+>+OCEANS+>+OCEAN+TEMPERATURE"+cf_standard_names:"sea_water_electrical_conductivity"' An example request to the CKAN API to query both GCMD Keywords starting with a value of "EARTH SCIENCE > OCEANS > OCEAN SCIENCE" and a CF standard name of "sea_water_electrical_conductivity" using cURL is below References: [1]. Climate and Forecast Conventions: https://cfconventions.org/ [2]. Attribute Conventions for Dataset Discovery: https://wiki.esipfed.org/index.php/Attribute_Convention_for_Data_Discovery

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