BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | cdm_data_type | String | Other |
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_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.928222.1 |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 100.8278 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 6.79033 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/928222 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | license | String | The data may be used and redistributed for free but is not intended\nfor legal use, since it may contain inaccuracies. Neither the data\nContributor, ERD, NOAA, nor the United States Government, nor any\nof their employees or contractors, makes any warranty, express or\nimplied, including warranties of merchantability and fitness for a\nparticular purpose, or assumes any legal liability for the accuracy,\ncompleteness, or usefulness, of this information. |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | summary | String | This dataset consists of videos of zooplankton swimming taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Understanding zooplankton population dynamics is challenging, largely because traditional methods for quantifying zooplankton distributions are costly, limited in scope, and require extended analysis by trained analysts. We developed a novel methodology that combined remotely deployed camera systems, Machine Learning-based identification of zooplankton, and video-based tracking technology to quantify copepods' and amphipods' in situ swimming behaviors in a seasonally hypoxic and acidified fjord. |
attribute | NC_GLOBAL | title | String | [Zooplankton In Situ Videos] - In Situ Amphipod and Copepod Video Output Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from August to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior to vertical distribution.) |
variable | vid_id | int | ||
attribute | vid_id | actual_range | int | 1534432153, 1537966443 |
attribute | vid_id | long_name | String | Vid_id |
attribute | vid_id | units | String | unitless |
variable | datetime_utc | String | ||
attribute | datetime_utc | long_name | String | Datetime_utc |
attribute | datetime_utc | units | String | unitless |
variable | total_frames | int | ||
attribute | total_frames | actual_range | int | 77, 1196 |
attribute | total_frames | long_name | String | Total_frames |
attribute | total_frames | units | String | frames |
variable | avg_frm_rate | float | ||
attribute | avg_frm_rate | actual_range | float | 19.06343, 20.47889 |
attribute | avg_frm_rate | long_name | String | Avg_frm_rate |
attribute | avg_frm_rate | units | String | frames per second |
variable | nearest_ctd_cast | String | ||
attribute | nearest_ctd_cast | long_name | String | Nearest_ctd_cast |
attribute | nearest_ctd_cast | units | String | unitless |
variable | nearest_ctd_offset | String | ||
attribute | nearest_ctd_offset | long_name | String | Nearest_ctd_offset |
attribute | nearest_ctd_offset | units | String | unitless |
variable | depth | float | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | actual_range | float | 6.79033, 100.8278 |
attribute | depth | axis | String | Z |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Depth |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
variable | oxygen | float | ||
attribute | oxygen | actual_range | float | 1.397794, 3.386604 |
attribute | oxygen | long_name | String | Oxygen |
attribute | oxygen | units | String | milligrams per liter (mg/L) |
variable | temperature | float | ||
attribute | temperature | actual_range | float | 9.685058, 10.90912 |
attribute | temperature | long_name | String | Temperature |
attribute | temperature | units | String | degrees Celcius |