Accessing BCO-DMO data
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BCO-DMO ERDDAP
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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_684031.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684031 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684031.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_684031/ | public | [Benthic cover data] - Benthic coverage data collected from 2012 to 2014 in the Federated States of Micronesia and the Caroline Islands (Disturb Impacts Coral project) (The impact of a large episodic disturbance on an invasive (outbreak) coral: Will Typhoon Maysak promote or suppress an invasive Montipora sp. Coral on reefs of Ulithi Atoll, Federated States of Micronesia?) | Benthic coverage data collected from 2012 to 2014 in the Federated States of Micronesia and the Caroline Islands (Disturb Impacts Coral project)\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\ndate (unitless)\nresearcher (unitless)\nquad (unitless)\nliveCoral_noCabbage (Live Coral No Cabbage, percent)\ninvasiveCoral (Invasive Coral, percent)\ndeadCoral (Dead Coral, percent)\nbleachedCoral (Bleached Coral, percent)\nturfAlgae (Turf Algae, percent)\nmacroalgae (percent)\notherInverts (Other Inverts, percent)\nacroporaThicket (Acropora Thicket, percent)\ntableCoral (Table Coral, percent)\nmounding1_simple_UnID (Mounding1 Simple Un ID, percent)\nmounding1_Porites_lobata (percent)\nmounding1_Astreopora (percent)\nmounding1_Leptastrea (percent)\nmounding2_complex_UnID (Mounding2 Complex Un ID, percent)\nsimpleBranching_UnID (Simple Branching Un ID, percent)\nsimpleBranching_AcroporaSpp (Simple Branching Acropora Spp, percent)\nsimpleBranching_Porites_rus (Simple Branching Porites Rus, percent)\nsimpleBranching_Porites_cylindrica (Simple Branching Porites Cylindrica, percent)\nsimpleBranching_Pocillopora_eydouxi (Simple Branching Pocillopora Eydouxi, percent)\nsimpleBranching_Pocillopora_meandrina (Simple Branching Pocillopora Meandrina, percent)\nsimpleBranching_PocilloporaSpp (Simple Branching Pocillopora Spp, percent)\nsimpleBranching_Heliopora (Simple Branching Heliopora, percent)\n... (85 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_684031/index.htmlTable | https://www.bco-dmo.org/dataset/684031
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_684031.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_684031&showErrors=false&email= | BCO-DMO | bcodmo_dataset_684031 | ||||
| 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 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_776377/ | public | [bleaching transects 2019] - Percent cover of healthy and bleached coral in Pacific Panama using the transect method in 2019 (Collaborative Research: Climate Change, Mesoscale Oceanography, and the Dynamics of Eastern Pacific Coral Reefs) | Percent cover of healthy and bleached coral in Pacific Panama using the transect method in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nGulf (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime2 (Time, season year)\nTransect (unitless)\nHealthy_P_damicornis (unitless)\nPale_P_damicornis (unitless)\nBleached_P_damicornis (unitless)\nHealthy_P_verricosa (unitless)\nPale_P_verricose (unitless)\nBleached_P_verricosa (unitless)\nHealthy_Psammocora_stellata (unitless)\nPale_P_stellata (unitless)\nBleached_P_stellata (unitless)\nCOTS_damage (unitless)\nStanding_dead_coral_no_turf (unitless)\nStanding_dead_coral_with_turf (unitless)\nUnconsolidated_rubble_with_turf (unitless)\nUnconsolidated_rubble_with_CCA (unitless)\nFleshy_algae (unitless)\nCCA (unitless)\nSand (unitless)\nHealthy_Porites_lobata (unitless)\nTotal (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_776377_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_776377/index.htmlTable | https://www.bco-dmo.org/dataset/776377
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_776377.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_776377&showErrors=false&email= | BCO-DMO | bcodmo_dataset_776377 | |||
| log in | [Cerro Mundo Algal Percent Cover Data] - Algal Percent Cover Data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sep 2021 and Apr 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) | Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems. The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Macroalgal biomass is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef.\n\nHere, we present the algal percent cover data collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nMonthstart (unitless)\nMonthend (unitless)\nYear (unitless)\nUlva (unitless)\nUlva_pct (percent)\ncca (unitless)\ncca_pct (percent)\nBrown_foliose_algae (unitless)\nBrown_foliose_algae_pct (percent)\nHPM (unitless)\nHPM_pct (percent)\n... (23 more variables)\n | BCO-DMO | bcodmo_dataset_985410_v1 | ||||||||||||
| log in | [Coral reef benthic composition in SGD] - Impacts of submarine groundwater discharge on benthic community composition and functional diversity on coral reefs in Mo'orea, French Polynesia from Aug 2021 to Jun 2022 (RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs) | Coral reefs experience numerous natural and anthropogenic environmental gradients that alter biophysical conditions and affect biodiversity. While many studies have focused on drivers of reef biodiversity using traditional diversity metrics (e.g., species richness, diversity, evenness), less is known about how environmental variability may influence functional diversity. In this study, we tested the impact of submarine groundwater discharge (SGD) on taxonomic and functional diversity metrics in Mo'orea, French Polynesia. SGD is the expulsion of terrestrial fresh or recirculated seawater into marine environments and is associated with reduced temperatures, pH, and salinity and elevated nutrient levels. Using a regression approach along the SGD gradient, we found that taxon and functional-entity richness displayed unimodal relationships to SGD parameters, primarily nitrate + nitrite and phosphate variability, with peak richness at moderate SGD for stony coral and the full benthic community. Macroalgae showed this unimodal pattern for functional-entity but not taxonomic richness. Functional community composition (presence and abundance of functional entities) increased along the gradient, while taxonomic composition showed a nonlinear relationship to SGD-related parameters. SGD is a common feature of many coastal ecosystems globally and therefore may be more important to structuring benthic functional diversity than previously thought. Further, studying community shifts through a functional-trait lens may provide important insights into the roles of community functions on ecosystem processes and stability, leading to improved management strategies. This dataset includes site identifiers and survey metadata, substrate composition, structural complexity (rugosity), seawater parameters (salinity, temperature, pH, nutrients), taxonomic and functional traits of benthic taxa (morphology, calcification strategy, trophic group), proportional cover of benthic taxa, and community-level diversity metrics.\n\ncdm_data_type = Other\nVARIABLES:\nCowTagID (unitless)\nDate (unitless)\nTaxa (unitless)\npcover (percent)\nTaxon_Group (unitless)\nMorph2 (unitless)\n... (32 more variables)\n | BCO-DMO | bcodmo_dataset_964240_v1 |