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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| log in | [Damariscotta River mysids, zooplankton, and environmental variables] - Abundance of mysid shrimp and zooplankton along with environmental variables from surveys in Damariscotta River estuary, Maine from June 2023 to Feb 2024 (Collaborative Research: Characterizing benthic mysid ecology and animal-fluid interactions in response to background flow, food, and light conditions) | Mysid shrimp are small crustaceans that are of particular importance in estuaries due to their role in nutrient subsidies and their importance in the diet of juvenile fishes. Despite their importance, they are typically undersampled relative to other zooplankton taxa. High abundances of Neomysis americana have been documented in the Damariscotta River estuary (DRE), Maine in late summer. While their summer abundance and small-scale diel migration behavior has been well described in the DRE, details about their basic ecology, life history, and reproduction in the DRE across seasons remains unknown. The purpose of this survey is to describe the seasonal abundance and population structure of N. americana in relation to environmental parameters and zooplankton-prey abundance. The survey was conducted every two weeks beginning in May of 2023 through October 2023 with monthly sampling being completed from November 2023 through May 2024. Mysid and zooplankton samples were collected from the dock at the Darling Marine Center These data files include environmental measurements made with a YSI sonde. Sonde-measured parameters include temperature, salinity, chlorophyll-a, and turbidity. These data files also include density and biomass information for zooplankton and mysid shrimp.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime_local (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMax_Depth (units)\nTemp (degrees Celsius)\nSalinity (PSU (practical salinity units))\nTurbidity (NTU (nephelometric turbidity units))\nChlorophyll (microgram per liter (ug/L))\nZooplankton_biomass (milligrams per cubic meter (mg/m3))\nMysid_density (individuals per cubic meter (#/m3))\n | BCO-DMO | bcodmo_dataset_925613_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918299_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918299_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918299_v1/ | public | [Edmunds et al. 2023 Oecologia: Chlorophyll Concentration] - Seawater chlorophyll concentration offshore from Moorea, French Polynesia from 2008 to 2020 (Moorea Coral Reef Long-Term Ecological Research site) | Data Abstract:\n\nSeawater chlorophyll concentration (mg/m3) offshore from Moorea, French Polynesia from 2008 to 2020.\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nChlorophyll (milligrams per meters cubed (mg/m3))\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918299_v1/index.htmlTable | https://www.bco-dmo.org/dataset/918299
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918299_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918299_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_918299_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987232_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987232_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987232_v1/ | public | [Kāneʻohe Bay halos - nutrients] - Water nutrients measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) | The goal of this dataset is to measure water nutrients at three artificial reefs constructed in Kāneʻohe Bay, Oʻahu, Hawaiʻi, from August 2022-December 2023. Water samples were taken monthly. One water sample was taken per artificial reef. Water samples were analyzed by the University of Hawaiʻi at Mānoa SOEST Laboratory for Analytical Biogeochemistry. They were analyzed for: Total Nitrogen, Total Phosphorous, Phosphate, Silicate, Nitrate + Nirite, Ammonia, and Chlorophyll.\n\ncdm_data_type = Other\nVARIABLES:\nMonth (unitless)\nYear (unitless)\nDate (unitless)\nReef_Number (unitless)\nTotal_N (micromoles per liter (umol/L))\nTotal_P (micromoles per liter (umol/L))\nPhosphate (micromoles per liter (umol/L))\nSilicate (micromoles per liter (umol/L))\nNO3_plus_NO2 (micromoles per liter (umol/L))\nAmmonia (micromoles per liter (umol/L))\nChlorophyll (micromoles per liter (umol/L))\nlatitude (degrees_north)\nlongitude (degrees_east)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987232_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987232_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987232_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/987232
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987232_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987232_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_987232_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_564351_v3 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_564351_v3.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_564351_v3/ | public | [Weekly Surface Water Samples] - Weekly surface water samples from Newport Pier, CA collected between 11 January 2012 and 3 November 2023 (Biological Controls on the Ocean C:N:P ratios) | Weekly surface water samples from Newport Pier, CA, were collected between 11 January 2012 and 3 November 2023.\n\nThis project is a continuation of a time series with weekly surface water sampling from the Microbes in the Coastal Region of Orange County (MICRO) time series station at Newport Pier (33°36.37'N, 117°55.87'W). We measured dissolved nitrate and phosphate in the water, as well as particulate organic carbon, nitrogen and phosphorus.\n\nThese data were published in Fagan et al. (2019), Larkin et al. (2020), and a pending publication, Larkin et al. (in press).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nNO3_1 (micromolar (uM))\nNO3_2 (micromolar (uM))\nNO3_3 (micromolar (uM))\nNO3_4 (micromolar (uM))\nNO3_5 (micromolar (uM))\nNO3_6 (micromolar (uM))\nNO3_Avg (micromolar (uM))\nSRP_1 (micromolar (uM))\nSRP_2 (micromolar (uM))\nSRP_3 (micromolar (uM))\nSRP_4 (micromolar (uM))\nSRP_5 (micromolar (uM))\nSRP_6 (micromolar (uM))\nSRP_Avg (micromolar (uM))\nPOP_1 (micromolar (uM))\nPOP_2 (micromolar (uM))\nPOP_3 (micromolar (uM))\n... (31 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_564351_v3/index.htmlTable | https://www.bco-dmo.org/dataset/564351
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_564351_v3.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_564351_v3&showErrors=false&email= | BCO-DMO | bcodmo_dataset_564351_v3 |