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_526852 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_526852.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_526852/ | public | [JeDI] - Jellyfish Database Initiative: Global records on gelatinous zooplankton for the past 200 years, collected from global sources and literature (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea \t) | The Jellyfish Database Initiative (JeDI) is a scientifically-coordinated global database dedicated to gelatinous zooplankton (members of the Cnidaria, Ctenophora and Thaliacea) and associated environmental data. The database holds 476,000 quantitative, categorical, presence-absence and presence only records of gelatinous zooplankton spanning the past four centuries (1790-2011) assembled from a variety of published and unpublished sources. Gelatinous zooplankton data are reported to species level, where identified, but taxonomic information on phylum, family and order are reported for all records. Other auxiliary metadata, such as physical, environmental and biometric information relating to the gelatinous zooplankton metadata, are included with each respective entry. JeDI has been developed and designed as an open access research tool for the scientific community to quantitatively define the global baseline of gelatinous zooplankton populations and to describe long-term and large-scale trends in gelatinous zooplankton populations and blooms. It has also been constructed as a future repository of datasets, thus allowing retrospective analyses of the baseline and trends in global gelatinous zooplankton populations to be conducted in the future.\n\ncdm_data_type = Other\nVARIABLES:\nproject_title (dimensionless)\nsub_project_title (dimensionless)\nowner_dataset (dimensionless)\ncontact (dimensionless)\nlocation_name (dimensionless)\ndate (variable)\nyear (unitless)\nmonth (MM)\nday (DD)\ntime_local (HH:MM:SS)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntaxon (dimensionless)\nrank_phylum (dimensionless)\n... (23 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_526852_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_526852/index.htmlTable | https://www.bco-dmo.org/dataset/526852
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_526852.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_526852&showErrors=false&email= | BCO-DMO | bcodmo_dataset_526852 | ||||
| log in | [Palau Coral Reef Experiment 2018: Pulse Amplitude Modulation (PAM) fluorometry] - Coral pulse amplitude modulation (PAM) fluorometry data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) | Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats. \n\nThis study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences the photochemistry of each coral species from each location before and after heating, as measured by active chlorophyll fluorescence recorded by pulse amplitude modulation (PAM) fluorometry.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nDate (unitless)\nDay (unitless)\nTreatment (unitless)\nLocation (unitless)\nColony (unitless)\nFrag (unitless)\nSymbiont (unitless)\nFq_Fm (unitless)\nFv_Fm (unitless)\nQm (unitless)\n | BCO-DMO | bcodmo_dataset_855054_v1 | ||||||||||||
| log in | [Palau Coral Reef Experiment 2018: Biometrics] - Coral biometrics data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) | Using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018, this dataset examines coral physiology of two species of coral, Psammacora digitata and Pocillopora verrucosa, as part of a short-term heating experiment.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nLSID (units)\nDate (unitless)\nDay (unitless)\nSymbiont (unitless)\nTreatment (Degrees Celcius (°C))\nColony (unitless)\nCell_Density (number of cells per square centimeter of coral)\nChl_a (picograms chlorophyll a per algal cell)\nHost_protein (micrograms soluble protein per square centimeter of coral skeleton)\nGross_photosynthesis (micrograms of oxygen per algal cell per hour)\nRespiration (milligrams oxygen per milligrams animal protein per hour)\nPhotosynthesis_Respiration (unitless)\n | BCO-DMO | bcodmo_dataset_855036_v1 | ||||||||||||
| log in | [Palau Coral Reef Experiment 2018: Isotopes] - Coral Isotope data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) | Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats. \n\nThis study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences the uptake and assimilation of carbon and nitrogen isotopes into the symbiotic algae, the coral tissue, and the coral skeleton among these two coral species.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nSym (unitless)\nTreatment (unitless)\nDate (unitless)\nDay (unitless)\nColony (unitless)\na_13catom (percent (%))\nh_13catom (percent (%))\ns_13catom (percent (%))\na_15natom (percent (%))\nh_15natom (percent (%))\n | BCO-DMO | bcodmo_dataset_948025_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933334_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933334_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933334_v1/ | public | [Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD)] - Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) covering global coral reef sites from 1977-2020 (Thermal stress and differential recovery of coral reefs) | This dataset is a summary table of the Heatwaves and Coral-Recovery Database (HeatCRD) introduced in van Woesik and Kratochwill (2024). The HeatCRD is the most comprehensive reference on coral recovery following marine heatwaves and other disturbances, encompassing 29,205 data records spanning 44 years from 12,266 sites, 83 countries, and 160 data sources. These data provide essential information to coral-reef scientists and managers to best guide coral-reef conservation efforts at both local and regional scales.\nThe dataset includes metadata for coral reef sampling events, such as site descriptions, geographical coordinates, depth, distance to shore, exposure, turbidity, coral cover percentages, MPA descriptions, temperature measurements, windspeed, and thermal stress indicators over 23 years.\n\nSee van Woesik and Kratochwill (2024) https://doi.org/10.1038/s41597-024-03221-3 for more information.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nSample_ID (unitless)\nlatitude (Latitude_degrees, degrees_north)\nlongitude (Longitude_degrees, degrees_east)\nOcean_Name (unitless)\nRealm_Name (unitless)\nEcoregion_Name (unitless)\nEcoregion_distance (degrees)\nCountry_Name (unitless)\nState_Island_Province_Name (unitless)\nLocation_Name (unitless)\nSite_Name (unitless)\nHabitat_Type (unitless)\nHabitat_Distance (degrees)\nDate_Day (unitless)\nDate_Month (unitless)\n... (59 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933334_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933334_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933334_v1/index.htmlTable | https://www.bco-dmo.org/dataset/933334
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933334_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933334_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_933334_v1 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924852_v1/ | public | [Zostera marina whole genome resequencing] - Sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) | This dataset includes sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017. Sequence accessions are housed in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nBioProject (unitless)\nLibrary_Code (unitless)\nSample_Description (unitless)\nLocation_Name (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSRA_accession (unitless)\nLibrary_type (unitless)\nSampled_tissue (unitless)\nInstrument (unitless)\nreads (unitless)\nNumber_of_bases_Raw_fastq (count)\nCoverage_Raw_fastq (genomes)\nNumber_of_bases_Clean_fastq (count)\nCoverage_Clean_fastq (genomes)\nMapped_pcnt (percent)\nProperly_paired_pcnt (percent)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924852_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924852_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924852_v1/index.htmlTable | https://www.bco-dmo.org/dataset/924852
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924852_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924852_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_924852_v1 |