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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3009 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3009.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3009/ public [calvet_ak_ltop] - AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from the Northeast Pacific, 1997-2001 (NEP project) (U.S. GLOBEC Northeast Pacific) AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from the Northeast Pacific, 1997-2001.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (dimensionless)\nyear (dimensionless)\nstation_name (dimensionless)\nstation (dimensionless)\nyrday_local (dimensionless)\nmonth_local (dimensionless)\nday_local (dimensionless)\ntime_local (dimensionless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth_w (Depth, meters)\ndepth_cast (Depth)\nvol_filt\nspecies (dimensionless)\nfamily (dimensionless)\nphylum (dimensionless)\nsubphylum (dimensionless)\nclass (dimensionless)\nsubclass (dimensionless)\norder (dimensionless)\ninfraorder (dimensionless)\nstage (dimensionless)\nabundance (number per cubic meter)\nbiomass_g (grams wet weight per cubic meter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3009_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3009_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3009/index.htmlTable https://www.bco-dmo.org/dataset/3009 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3009.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3009&showErrors=false&email= BCO-DMO bcodmo_dataset_3009
log in [Carbon and nitrogen stable isotopes in gelatinous zooplankton and larval fish] - Carbon and nitrogen stable isotope measurements of gelatinous zooplankton and larval fish in the Northern California Current from March 2022 to August 2023 (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) These data include carbon and nitrogen stable isotope measurements of gelatinous zooplankton and larval fish collected during four research cruises in the Northern California Current from March 2022 to August 2023. Also included are carbon and nitrogen contents, organism counts, sizes and volumes, wet weights, dry weights, and ash-free dry weights. The roles of gelatinous zooplankton and larval fish in marine food webs are not well understood. These data examine the trophic roles of these organisms across two seasons in a highly productive coastal system and contribute to food web modelling efforts.\n\ncdm_data_type = Other\nVARIABLES:\nanimal_type (unitless)\nphylum (unitless)\nclass (unitless)\norder (unitless)\nfamily (unitless)\ngenus (unitless)\nspecies (unitless)\nsample_full (unitless)\nd13C (per mil vs. VPDB)\nC_ug (micrograms (µg))\nd15N (per mil vs. Air)\nN_ug (micrograms (µg))\nsample_weight_mg (milligrams (mg))\nseason (unitless)\ncruise (unitless)\nyear (unitless)\ncollection_date (unitless)\ntransect (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_986609_v1
log in [DeepZoo field-verification at the EPR on AT50-33] - Meroplankton larvae and benthopelagic invertebrates collected during field-verification of the novel zooplankton sampler, DeepZoo, at the East Pacific Rise aboard the R/V Atlantis AT50-33 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents) This dataset provides counts for meroplankton and benthopelagic juvenile fauna collected during field verification of a novel zooplankton sampler, DeepZoo, near hydrothermal vents on the East Pacific Rise (EPR) vents during the R/V Atlantis cruise AT50-33 in January and February 2025. DeepZoo is a low-cost, modular, and all-depth-capable zooplankton sampler that utilizes a Blue Robotics T200 thruster to drive water over a mesh net (63 micron mesh in this study). DeepZoo was deployed both as an engineering test and as a method comparison to the large-volume plankton pump (McLane WTS-LV50), which has been sampling larval diversity for over 27 years at the EPR vents. DeepZoo was deployed in tandem with the McLane plankton pump on the Multidisciplinary Instrumentation in Support of Oceanography (MISO) lander at YBW-Shimmering Forest and twice on the science basket of HOV Alvin at both active (Riftia Mound) and inactive (Fangorn Forest) hydrothermal vent features. Samples were sorted completely and preserved in ethanol. All specimens were identified morphologically, to varying degrees of lowest taxonomic resolution, under a dissecting scope and conform to the “EPR pump time series” identifications. Further, a subset of identifications were supported with DNA barcoding of a partial region of cytochrome c oxidase I (COI) gene. The primary data file is a single compiled table with the leftmost columns as a Darwin Core Occurrence extension table and the rightmost columns from a Darwin Core Event core table.\n\ncdm_data_type = Other\nVARIABLES:\noccurrenceID (unitless)\nidentificationRemarks (unitless)\nverbatimIdentification (unitless)\nindividualCount (integer count)\nscientificName (unitless)\nscientificNameID (unitless)\ntaxonRank (unitless)\nclass (unitless)\nphylum (unitless)\nkingdom (unitless)\nidentifiedBy (unitless)\nassociatedSequences (unitless)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_991014_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_728110 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_728110/ public [Epibenthic community taxonomy] - Table of taxonomic hierarchy and the sampling method for organisms collection in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer) This dataset includes the taxonomic hierarchy for epibenthic community organisms collected in Aleutian Island kelp forests, based on biomass data. It also lists the method used to sample, either by a scrape collection or by a visual count along a swath.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nKingdom (unitless)\nPhylum (unitless)\nClass (unitless)\nOrder_Subclass (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nSampling_method (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_728110_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_728110/index.htmlTable https://www.bco-dmo.org/dataset/728110 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_728110.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_728110&showErrors=false&email= BCO-DMO bcodmo_dataset_728110
log in [EPR pump time series] - Larvae and suspended benthic fauna collected with a plankton pump near deep-sea hydrothermal vents at the East Pacific Rise from 1998 to 2025 (Effects of Disturbance and Larval Supply on Communities at Hydrothermal Vents) This dataset provides the counts for larvae and some later life stage benthic fauna, identified to varying levels of taxonomic granularity, collected with a large-volume plankton pump near deep-sea hydrothermal vents on the East Pacific Rise on 13 cruises from 1998 to 2025. Sampling for this 27-year time series of larval abundance was conducted using a plankton pump (McLane WTS-LV50) filtering up to ~40 cubic meters over 63-micron mesh. Specimens were preserved in ethanol and identified morphologically under a dissecting microscope. Samples were sorted completely, thus concentrations per taxon may be derived from the counts and volume filtered. The primary data file is a single compiled table with the leftmost columns as a Darwin Core Occurrence extension table and rightmost columns from a Darwin Core Event core table; these are provided separately as two additional files formatted for the Ocean Biodiversity Information System.\n\ncdm_data_type = Other\nVARIABLES:\noccurrenceID (unitless)\nverbatimIdentification (unitless)\nindividualCount (integer count)\nscientificName (unitless)\nscientificNameID (unitless)\ntaxonRank (unitless)\nclass (unitless)\nphylum (unitless)\nkingdom (unitless)\nidentifiedBy (unitless)\noccurrenceStatus (unitless)\nbasisOfRecord (unitless)\neventID (unitless)\nsampleSizeValue (liter)\nsampleSizeUnit (unitless)\neventDate (seconds since 1970-01-01T00:00:00Z)\nverbatimEventDate (unitless)\nlocality (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_986309_v1
log in [Integrated Energy Density data of Marine and Freshwater Organisms] - Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review (Nutritional ecology of climate change: Impacts on Northwest Atlantic fishes) Energy is the currency of exchange within ecosystems which defines the strength and influence of interactions, particularly between predator and prey. The ability to estimate the productivity of an ecosystem is, therefore, dependent upon the estimation of consumer diet contents and their energetic quality. To estimate growth, reproduction, and, ultimately, survival of individuals, measures of prey quality for predators are essential both at the individual level and for scaling to ecosystem-wide fluxes and pools. Among measures of prey quality, energy density (kiloJoules per gram; kJ/g) is the most used in ecology. Considerable efforts have established estimates of energy densities for many aquatic taxa. However, a database of aquatic organism energetics constructed by integrating and organizing across multiple sources spawning marine and freshwater habitats across the globe is needed to add both depth (more samples to measure within-taxa variation) and breadth (more taxa). To generate a comprehensive energy density database of aquatic organisms, we performed a multifaceted review to find sources from the peer-reviewed and grey literature with a broad search on Web of Science, from citations of related literature, and a haphazard recommendation from experts. Estimates of energy density of whole organism live weights (kJ/g wet weight) were prioritized to better relate to diet and energetics studies. When energy density was only provided per gram dry weight, the dry weight and percentage water was used to calculate energy density per gram wet weight. Sub-organism (i.e. tissue specific) energy density estimates are included (e.g. muscle, liver, egg) when only these were reported. A total of 3810 records are included from 134 sources, covering 2016 unique taxa, of which 1771 (87.76%) are identified at the species level. Species or taxa-specific energy densities ranged from 0.015 to 17.949 kJ/g wet weight (WW) with a mean ± SD = 4.509 ± 1.94 kJ/g WW and median = 4.225 kJ/g WW. Among those phyla with more than three species (n phyla = 9), chordates (n taxa = 1283) had the highest average energy density (mean ± SD; 4.92 ± 1.90; 0.162 – 17.9 kJ/g WW) and ctenophores (n taxa = 4) had the lowest average (0.0988 ± 0.074; 0.03 to 0.205 kJ/g WW). Each record includes the organism taxonomy to the lowest resolution listed in the original source, energetic data available from the source including body composition and energy density data, number of replicates and methodology for measuring energetics information--primarily split between bomb calorimetry and proximate composition--as well as the source's author(s), year, and publication. Additional meta-data are included whenever possible based on details from the original source including the 1) environmental features: area, method, and timing of capture; 2) methodological features: storage method, storage duration, and tissue type measured; and 3) organismal features: weight, length, and sex; as well as any additional notes about the source. This comprehensive database integrates those data discoverable by our search and which met inclusion criteria identified above in a taxonomic and spatial organization framework to facilitate modeling trophic interactions, bioenergetics, growth, productivity, and energy fluxes through marine and freshwater ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nPhylum (unitless)\n... (41 more variables)\n BCO-DMO bcodmo_dataset_948253_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768138 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768138/ public [Palau lakes: invertebrate barcodes] - Specimen log with OTU identifiers collected from Palau marine lakes (Do Parallel Patterns Arise from Parallel Processes?) List of all barcoded specimens of collected invertebrates with sequence name and OTU identifier collected from Palau marine lakes. FASTA files for major invertebrate groups are included in supplemental files.\n\ncdm_data_type = Other\nVARIABLES:\nOTU_id (unitless)\nID (unitless)\nlake_code (unitless)\nSequenceName (Sequence Name, unitless)\nPhylum (unitless)\nClass (unitless)\nOrder (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nCRRF_ID (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_768138_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768138/index.htmlTable https://www.bco-dmo.org/dataset/768138 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768138.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768138&showErrors=false&email= BCO-DMO bcodmo_dataset_768138
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768196 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768196/ public [Palau lakes: voucher summary] - Voucher summary of invertebrates and barcoded OTU's with field identifications, collected from Palau marine lakes (Do Parallel Patterns Arise from Parallel Processes?) Voucher summary of invertebrates and barcoded OTU's with field identifications, collected from Palau marine lakes.\n\ncdm_data_type = Other\nVARIABLES:\nCRRF_ID (unitless)\nPhylum (unitless)\nClass (unitless)\nOrder (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nID_name (unitless)\nOTU_id (specimens)\nlake_code (unitless)\ncomment (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_768196_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768196/index.htmlTable https://www.bco-dmo.org/dataset/768196 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768196.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768196&showErrors=false&email= BCO-DMO bcodmo_dataset_768196
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000298_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000298_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000298_v1/ public [ROV Biological Samples Fkt230602 and Fkt231202] - Biological samples and associated imagery collected by ROV SuBastian during the Octopus Odyssey R/V Falkor (too) expeditions Fkt230602 and Fkt231202 in Costa Rica in Jun and Dec 2023 (Octopus Odyssey) This dataset includes metadata and imagery of deep-sea biological specimens collected during the Octopus Odyssey expeditions (Fkt230602 and Fkt231202) aboard the R/V Falkor (too) in the Pampa Submarina region off the Pacific coast of Costa Rica. Sampling was conducted from 3-20 June and 3-14 December 2023 using the ROV SuBastian across six geologic features at depths between 500 and 3180 meters. The specimens, which are archived at the Museum of Zoology at the Universidad de Costa Rica, likely contain new species and new records for the area and contribute to understanding local and regional deep-sea biodiversity. \n\nSampling was carried out under national research permits and guided by a collaborative biology team from the Universidad de Costa Rica, Universidad Nacional de Costa Rica, the Field Museum of Chicago, SpeSeas, and the Bigelow Laboratory for Ocean Sciences. The dataset follows the Darwin Core standard for documenting and reporting the occurrence data associated with each sampling event. \n\nA .zip file is provided in the supplemental documents and contains a set of subfolders, one for each sample, with in situ and laboratory images when available. The primary data file includes a relative path in the “associatedMedia” field, enabling each metadata record to be accurately linked to its corresponding imagery.\n\ncdm_data_type = Other\nVARIABLES:\neventID (unitless)\noccurrenceID (unitless)\nassociatedOccurrences (unitless)\nrecordNumber (unitless)\ninstitutionCode (unitless)\ninstitutionID (unitless)\ncollectionCode (unitless)\ncatalogNumber (unitless)\nassociatedMedia (unitless)\nbasisOfRecord (unitless)\n... (36 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000298_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000298_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000298_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000298 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000298_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000298_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000298_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955245_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955245_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955245_v1/ public [Sponge-microbe interaction review] - Literature review of sponge-microbe interactions on sixteen characteristics of 82 sponges. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) This dataset compiles information from a literature review (Freeman et al., 2021) of seminal and recent papers focusing on sponge ecology and sponge-microbe interactions. Data (when available in the literature) on sixteen characteristics of 82 sponge species from diverse subclasses are included. These data include enumeration of overall microbial abundance (High and Low Microbial Abundance: HMA and LMA), chemical defense allocation patterns and overall palatability in feeding assays, nutritional quality (carbohydrate, protein, lipid, and energy content), physical characteristics (tensile strength, ash content, tissue density), photosymbiont abundance (chlorophyll a concentration) physiology and metabolism (pumping rate, NOx production), nutrition (% of carbon derived from dissolved organic matter, detritus, and living particulate organic matter), and microbial symbiont diversity (expressed as the inverse Simpson's index).\n\ncdm_data_type = Other\nVARIABLES:\nSponge_Species (unitless)\nClass (unitless)\nSubclass (unitless)\nOrder (unitless)\nFamily (unitless)\nHMA_LMA (unitless)\npalatability (unitless)\nash (milligrams per ml of sponge tissue (mg/ml))\ntensile (Newtons per m x 10^5 (N/m x 10^5))\ncarbohydrate (milligrams per ml of sponge tissue (mg/ml))\nprotein (milligrams per ml of sponge tissue (mg/ml))\nlipid (milligrams per ml of sponge tissue (mg/ml))\nenergy (Kilojoules per ml (kJ/ml))\nmean_ChlA (Micrograms of chlorophyll a per gram of sponge tissue (ug chl a/gram of sponge tissue))\ninverse_Simpson (unitless)\nNOx (unitless)\npump_Rate (liters per second per liter of sponge tissue)\nDOC (percentage (%))\nDET (percentage (%))\nLPOC (percentage (%))\nDensity (grams per ml (g/ml))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955245_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955245 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955245_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955245_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955245_v1
log in [Subsurface Nitrospirota and Nitrospinota Origins] - Collection of subsurface bacteria Nitrospirota and Nitrospinota genome data including IMG and NCBI accessions for sequence datasets in June 2021 (Slow Life in Crust project) (Microbial activity in the crustal deep biosphere) The phyla Nitrospirota and Nitrospinota have received significant research attention due to their unique mitrogen metabolisms important to biogeochemical and industrial processes. These phyla are common inhabitants of marine and terrestrial subsurface environments and contain members capable of diverse physiologies in addition to nitrite oxidation and complete ammonia oxidation. We used phylogenomics and gene-based analysis with ancestral state reconstruction and gene-tree-species tree reconciliation methods to investigate the life histories of these two phyla. This dataset includes list of previously-published sequence datasets that were used for the analysis. The data and interpretations are published at DOI 10.1038/s41396-023-01397-x. Additional metadata such as NCBI accessions, assembly release dates, and NCBI taxon ids were added in December 2024.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nIMG_genome_id (unitless)\nGenBank_assembly (unitless)\nSample (unitless)\nCorrected_BioSample (unitless)\nBioProject (unitless)\nrelease_date (unitless)\nlast_updated_date (seconds since 1970-01-01T00:00:00Z)\npublication_date (seconds since 1970-01-01T00:00:00Z)\nDomain (unitless)\nPhylum (unitless)\nClass (unitless)\nOrder (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nNCBI_organism_taxid (unitless)\nIsolation_Source (unitless)\nIsolationPlot (unitless)\n... (11 more variables)\n BCO-DMO bcodmo_dataset_933610_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986858_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986858_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986858_v1/ public [Tapajos River FT-ICR MS peaks] - Fourier Transform-Ion Cyclotron Resonance Mass spectrometry (FT-ICR MS) peaks lists from the Tapajós River, Brazil from 2016-2023 (RAPID: El Nino Event Impacts on Organic Matter Export and Composition in the Amazon River) This dataset includes assigned mass spectral peak lists from river water sampled near-monthly from the Tapajós River, Brazil between 2016-2023. Data were collected on a 21 T Fourier Transform-Ion Cyclotron Mass Spectrometer in electrospray negative ionization from solid phase DOM extracts. Trends in peak presence/absence and relative abundance reveal changes to DOM sourcing based on hydroclimate and multiyear climate anomalies.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nDate_ISO (unitless)\nlatitude (Lat_dd, degrees_north)\nlongitude (Lon_dd, degrees_east)\nExp_mass (Daltons (Da))\nTheor_mz (Daltons (Da))\nError (parts per million (ppm))\nFilez_RA (unitless)\nDBE (unitless)\nHC (unitless)\nOC (unitless)\nMolecular_Formula (unitless)\nC (count)\nHion (count)\nN (count)\nO (count)\nS (count)\nC13 (count)\nH (count)\nP (count)\nAImod (unitless)\nNC (unitless)\nSC (unitless)\nNOSC (unitless)\nFormula (unitless)\nClass (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986858_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986858_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986858_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986858 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986858_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986858_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986858_v1

 
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