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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897403_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897403_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897403_v1/ | public | [Benthic cover] - Benthic cover data photoquadrat images from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) | Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves.\n\nThis dataset contains benthic cover data and photoquadrat images including point counts and organism identifications from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022.\n\ncdm_data_type = Other\nVARIABLES:\nImage_ID (unitless)\nImage_name (unitless)\nmonth (unitless)\nday (unitless)\nyear (unitless)\nDate (unitless)\nAnnotation_status (unitless)\nPoints (per point)\nCoral_Juvenile (per point)\nDiseased_Coral (per point)\nLeptastrea_purpurea (per point)\nPigmented_Montipora_capitata (per point)\nPavona_varians (per point)\nPigmented_Porites_Compressa (per point)\nRecent_Dead_Coral (per point)\nAscidian (per point)\nMycale_grandis (per point)\nSponge (per point)\n... (30 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897403_v1/index.htmlTable | https://www.bco-dmo.org/dataset/897403
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897403_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897403_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_897403_v1 | |||||
| log in | [Shoreline Grab and Autosampler Samples after Lahaina Wildfires 2023-2024] - Water quality parameters from discrete shoreline and transect sampling in West Maui (Lahaina area), Hawaiʻi, following the Lahaina Wildfires, Aug 2023 to Oct 2024 (RAPID: Coral reef stress responses to an urban fire) | These data include values for various coastal water parameters: carbon chemistry (total alkalinity, dissolved inorganic carbon, and dissolved organic carbon), trace metals, metabolomic composition, nutrient concentrations (NOx, NO2, PO4, SiO2, and NH3), Fluorescence Dissolved Organic Matter, and flow cytometry. Water samples were all collected in West Maui in and around reef systems that were within and adjacent to the burn zone of the Lahaina fires. These samples were collected by boat transect, shoreline grab sampling, and autonomous sampling devices. Some autonomous sampling data from before the fire event are also included. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local_HST (unitless)\ncollection (unitless)\nuniqueID (unitless)\nstation (unitless)\nsampling_trip (unitless)\ndescription (unitless)\ntide (unitless)\nstation_platform (unitless)\nstation_category (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nmetal (unitless)\nfcm (unitless)\nfdom (unitless)\nhlb (unitless)\ndoc (unitless)\n... (73 more variables)\n | BCO-DMO | bcodmo_dataset_982204_v1 |