BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | ## Sampling Activities\n \nThe OCC/GLOBEC survey occurred along the coastal waters of the Gulf of Alaska\nand in Shelikof Strait, AK during 2001-2004. Transects sampled during the\nsurvey were perpendicular to shore and extended from nearshore across the\ncontinental shelf to oceanic waters beyond the 200-m shelf break. The survey\nwas conducted aboard the contract fishing vessel F/V Great Pacific during\n2001-2002 and 2004, and aboard NOAA Ship Miller Freeman during 2003.\n \nFish samples were collected in a 198-m long mid-water rope trawl with\nhexagonal mesh wings and body, and a 1.2-cm mesh liner in the codend. The rope\ntrawl was towed at 6.5 to 9.3 km/hour, at or near surface, and had a typical\nspread of 40-m horizontally and 15-m vertically. All tows lasted 30 minutes\nand covered 2.8 to 4.6 km, and sampling was done during daylight hours;\nhowever, tows occurred during night as part of a 24-hour repeat sampling of a\nsingle station for one day during 2001 and 2003.\n \nOnce the net was hauled aboard, salmon and other fishes were sorted by species\nand counted. Standard biological measurements including fork length, body\nweight, and sex were taken from sub-samples of all salmon species. Sub-samples\nof juvenile pink (Oncorhynchus gorbuscha), chum (O. keta), and sockeye (O.\nnerka) salmon were frozen whole for laboratory analyses of food habits,\notolith hatchery thermal marks (pink and chum salmon), and genetic analysis\n(chum salmon).\n \nPlankton samples were collected using a 1-m2 Tucker trawl fitted with a\n505-micron mesh net that was towed near surface (approximately 1 knot) for 5\nminutes (2001-2003 surveys). During 2004, plankton samples were collected\nusing a WP-2 net fitted with a 253-micron mesh net that was deployed\nvertically to a depth of 100-m depth. The volume of water filtered by the net\nwas estimated using flow meters. Plankton samples were transferred into vials,\npreserved in 5% formalin onboard the ship, and stored until a laboratory\nanalysis was completed. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 54790 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-0104622 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0104622 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Phillip R. Taylor |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50451 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 55044 |
attribute | NC_GLOBAL | awards_1_award_number | String | unknown NEP NOAA |
attribute | NC_GLOBAL | awards_1_funder_name | String | National Oceanic and Atmospheric Administration |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | NOAA |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 352 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | juvenile pink salmon energy density \n PI: Ned Cokelet \n GoAlaska, LTOP 2001-2003 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2010-06-16T20:40:39Z |
attribute | NC_GLOBAL | date_modified | String | 2020-01-20T18:10:07Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.3108.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/3108 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | TrawlMid |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Fish samples were collected with a 198-m-long mid-water rope trawl with hexagonal mesh wings and body, and a 1.2-cm mesh liner in the codend. The rope trawl was towed at 3.5 to 5 kt, at or near surface, and had a typical spread of 40-m horizontally and 14-m vertically. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 5396 |
attribute | NC_GLOBAL | instruments_0_description | String | A mid-water or pelagic trawl is a net towed at a chosen depth in the water column to catch schooling fish such as herring and mackerel. Midwater trawl nets have very large front openings to herd schooling fish toward the back end where they become trapped in the narrow \"broiler\". The sides of the deployed net are spread horizontally with two large metal foils, called \"doors,\" positioned in front of the net. As the trawler moves forward, the doors, and therefore the net, are forced outward, keeping the net open.\nThis instrument designation is used when specific make and model are not known. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/23/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Midwater Trawl |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 467 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Midwater Trawl |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, control, control_id, data, dataset, dens, dmo, dry, energy, energy_dens, erddap, froz, management, oceanography, office, preliminary, weight, weight_dry, weight_froz, weight_wet, wet, year |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/3108/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/3108 |
attribute | NC_GLOBAL | param_mapping | String | {'3108': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/3108/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Alaska Fairbanks |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UAF |
attribute | NC_GLOBAL | people_0_person_name | String | Dr Lewis J Haldorson |
attribute | NC_GLOBAL | people_0_person_nid | String | 50477 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of Washington |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UW |
attribute | NC_GLOBAL | people_1_person_name | String | Dr D Beauchamp |
attribute | NC_GLOBAL | people_1_person_nid | String | 51054 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | University of Washington |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | UW |
attribute | NC_GLOBAL | people_2_person_name | String | K. Myers |
attribute | NC_GLOBAL | people_2_person_nid | String | 51055 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | University of Washington |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | UW |
attribute | NC_GLOBAL | people_3_person_name | String | Dr Jamal Hasan Moss |
attribute | NC_GLOBAL | people_3_person_nid | String | 50467 |
attribute | NC_GLOBAL | people_3_role | String | Scientist |
attribute | NC_GLOBAL | people_3_role_type | String | originator |
attribute | NC_GLOBAL | people_4_affiliation | String | National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center |
attribute | NC_GLOBAL | people_4_affiliation_acronym | String | NOAA-AFSC-Auke |
attribute | NC_GLOBAL | people_4_person_name | String | Dr Jamal Hasan Moss |
attribute | NC_GLOBAL | people_4_person_nid | String | 50467 |
attribute | NC_GLOBAL | people_4_role | String | Scientist |
attribute | NC_GLOBAL | people_4_role_type | String | originator |
attribute | NC_GLOBAL | people_5_affiliation | String | University of Washington |
attribute | NC_GLOBAL | people_5_affiliation_acronym | String | UW |
attribute | NC_GLOBAL | people_5_person_name | String | Dr Jamal Hasan Moss |
attribute | NC_GLOBAL | people_5_person_nid | String | 50467 |
attribute | NC_GLOBAL | people_5_role | String | Contact |
attribute | NC_GLOBAL | people_5_role_type | String | related |
attribute | NC_GLOBAL | people_6_affiliation | String | National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center |
attribute | NC_GLOBAL | people_6_affiliation_acronym | String | NOAA-AFSC-Auke |
attribute | NC_GLOBAL | people_6_person_name | String | Dr Jamal Hasan Moss |
attribute | NC_GLOBAL | people_6_person_nid | String | 50467 |
attribute | NC_GLOBAL | people_6_role | String | Contact |
attribute | NC_GLOBAL | people_6_role_type | String | related |
attribute | NC_GLOBAL | people_7_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_7_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_7_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_7_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_7_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_7_role_type | String | related |
attribute | NC_GLOBAL | project | String | NEP |
attribute | NC_GLOBAL | projects_0_acronym | String | NEP |
attribute | NC_GLOBAL | projects_0_description | String | Program in a Nutshell\nGoal: To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.\nApproach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series. |
attribute | NC_GLOBAL | projects_0_geolocation | String | Northeast Pacific Ocean, Gulf of Alaska |
attribute | NC_GLOBAL | projects_0_name | String | U.S. GLOBEC Northeast Pacific |
attribute | NC_GLOBAL | projects_0_project_nid | String | 2038 |
attribute | NC_GLOBAL | projects_0_project_website | String | http://nepglobec.bco-dmo.org |
attribute | NC_GLOBAL | projects_0_start_date | String | 1997-01 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2003. |
attribute | NC_GLOBAL | title | String | [salmon_energy] - Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2003 (NEP project) (U.S. GLOBEC Northeast Pacific) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | year | short | ||
attribute | year | _FillValue | short | 32767 |
attribute | year | actual_range | short | 2001, 2003 |
attribute | year | bcodmo_name | String | year |
attribute | year | description | String | year, reported as YYYY, e.g. 1995 |
attribute | year | long_name | String | Year |
attribute | year | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ |
attribute | year | units | String | dimensionless |
variable | control_id | int | ||
attribute | control_id | _FillValue | int | 2147483647 |
attribute | control_id | actual_range | int | 2001100295, 2003101874 |
attribute | control_id | bcodmo_name | String | sample |
attribute | control_id | description | String | identification number for individual sample: first four numbers are year; following six numbers are individual fish identification numbers. |
attribute | control_id | long_name | String | Control Id |
attribute | control_id | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | control_id | units | String | dimensionless |
variable | weight_froz | float | ||
attribute | weight_froz | _FillValue | float | NaN |
attribute | weight_froz | actual_range | float | 4.0, 73.827 |
attribute | weight_froz | bcodmo_name | String | weight |
attribute | weight_froz | description | String | weight of frozen fish |
attribute | weight_froz | long_name | String | Weight Froz |
attribute | weight_froz | units | String | grams? |
variable | weight_wet | byte | ||
attribute | weight_wet | _FillValue | byte | 127 |
attribute | weight_wet | actual_range | byte | 7, 41 |
attribute | weight_wet | bcodmo_name | String | weight |
attribute | weight_wet | description | String | wet weight of fish |
attribute | weight_wet | long_name | String | Weight Wet |
attribute | weight_wet | units | String | grams |
variable | weight_dry | float | ||
attribute | weight_dry | _FillValue | float | NaN |
attribute | weight_dry | actual_range | float | 0.0, 17.63 |
attribute | weight_dry | bcodmo_name | String | weight |
attribute | weight_dry | description | String | dry weight of fish |
attribute | weight_dry | long_name | String | Weight Dry |
attribute | weight_dry | units | String | grams |
variable | energy_dens | float | ||
attribute | energy_dens | _FillValue | float | NaN |
attribute | energy_dens | actual_range | float | 0.0, 13955.45 |
attribute | energy_dens | bcodmo_name | String | unknown |
attribute | energy_dens | description | String | energy density as calculated: wet weight =4.186*(dry/wet)*(cal/g) |
attribute | energy_dens | long_name | String | Energy Dens |
attribute | energy_dens | units | String | Joules/gram wet weight |