The Ocean Archive System searches our original datasets as they were submitted to us, not individual points or profiles. If you want to search and retrieve ocean profiles in a common format, or objectively analyzed fields, your better option may be to use one of our project applications. See: Access Data
OAS accession Detail for 0277984
| << previous | |revision: 10 |
| accessions_id: | 0277984 | archive |
|---|---|
| Title: | Multistressor Observations of Coastal Hypoxia and Acidification (MOCHA) Synthesis (NCEI Accession 0277984) |
| Abstract: | The California Current System (CCS) is a highly complex upwelling system supporting productive fisheries and high biodiversity, but it is vulnerable to warming, deoxygenation, and acidification. Data fragmentation and limited data availability constrain our understanding of when and where stressful coastal conditions manifest. Here, we present a large synthesis of compiled, formatted, and quality-controlled publicly available temperature, dissolved oxygen, and carbonate-system observations to create an accessible, high-resolution database for mapping marine climate stress in U.S. waters along the CCS. Only direct observations were included in this synthesis; no calculated data was retained. The synthesis includes 71 distinct data sources with observations from high resolution autonomous sensors, synoptic oceanographic cruises, and shore samples. Data has been organized across 16.2 million rows and 41 columns. Each row includes one or more individual oceanic parameter measurements accompanied by a dataset ID, which ties observations to their sources in the accompanying dataset Metadata Table, spatial and temporal information about the observations, the data collection method (cruise, mooring, etc.), and a habitat tag to identify estuarine datasets. Rows also include temperature, salinity, dissolved oxygen, carbonate-system, nutrient, and chlorophyll observations as available, along with quality flags and data collection methods for each included observation. Overall, this synthesis includes 15.9 million temperature observations, 5.0 million salinity, 3.9 million dissolved oxygen, 2.3 million pH, 8,368 dissolved inorganic carbon, 10,144 total alkalinity, and 505,000 pCO2/fCO2 observations, with limited additional chlorophyll and nutrient observations. A summary dataset that provides daily averages of observations by location, depth, and project is also available (aggregated_daily_dataset.csv), along with geographic subsets of the full dataset. This synthesis dataset has been optimized for high-resolution coastal multiparameter investigations and will provide a valuable tool for assessing regional and local climate risk, evaluating the efficacy and completeness of CCS monitoring efforts, and investigating spatiotemporal scales of coastal oceanographic variability. |
| Date received: | 20230504 |
| Start date: | 19490228 |
| End date: | 20221231 |
| Seanames: | North Pacific Ocean, West Coast - US/Canada |
| West boundary: | -150 |
| East boundary: | -117.2 |
| North boundary: | 48.49 |
| South boundary: | 32 |
| Observation types: | chemical, discrete sample, physical, surface measurements |
| Instrument types: | carbon dioxide (CO2) gas analyzer |
| Datatypes: | AMMONIA (NH3), CHLOROPHYLL, DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, NITRATE, partial pressure of carbon dioxide - water, Partial pressure (or fugacity) of carbon dioxide - atmosphere, pH, phosphate, SALINITY, silica, total alkalinity, WATER TEMPERATURE |
| Submitter: | Kennedy, Esther G. |
| Submitting institution: | University of California - Davis; Bodega Marine Laboratory |
| Collecting institutions: | University of California - Davis; Bodega Marine Laboratory |
| Contributing projects: | OCADS |
| Platforms: | VARIOUS CHARTERED VESSELS (1888) |
| Number of observations: | |
| Supplementary information: | The total size of the data file MOCHA_full_dsp.csv is 2.67 GB, the zip file size is 118.6 MB. Split files were created and separated by regions and date located in the subset_data directory: 30_to_40_post_2016.csv 30_to_40_pre_2016.csv 32_to_34_post_2016.csv 32_to_34_pre_2016.csv 34.25_to_35_post_2016.csv 34.25_to_35_pre_2016.csv 34_to_34.25_post_2016.csv 34_to_34.25_pre_2016.csv 35_to_36_post_2016.csv 35_to_36_pre_2016.csv 36.5_to_37_post_2016.csv 36.5_to_37_pre_2016.csv 36_to_36.5_post_2016.csv 36_to_36.5_pre_2016.csv 37_to_38_post_2016.csv 37_to_38_pre_2016.csv 40_to_42_post_2016.csv 40_to_42_pre_2016.csv 42_to_43_post_2016.csv 42_to_43_pre_2016.csv 43_to_44_post_2016.csv 43_to_44_pre_2016.csv 44_to_45_post_2016.csv 44_to_45_pre_2016.csv 45_to_47_post_2016.csv 45_to_47_pre_2016.csv 47_to_49_post_2016.csv 47_to_49_pre_2016.csv |
| Availability date: | |
| Metadata version: | 10 |
| Keydate: | 2023-05-08 15:15:04+00 |
| Editdate: | 2025-01-26 14:33:17+00 |