BCO-DMO ERDDAP
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Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String From Baumann et al (2017):\n \nDNA Extraction\n \nCoral holobiont (coral, algae, and microbiome) DNA was isolated from each\nsample following a modified phenol-chloroform [86,87,88] method described in\ndetail by Davies et al. [87]. Briefly, DNA was isolated by immersing the\ntissue in digest buffer (100 mM NaCL, 10 mM Tris-Cl pH 8.0, 25 mM EDTA pH 9.0,\n0.5% SDS, 0.1 mg ml-1 Proteinase K, and 1 \\u00b5g ml-1 RNaseA) for 1 h at 42\n\\u00b0C followed by a standard phenol-chloroform extraction. Extracted DNA was\nconfirmed on an agarose gel and quantified using a Nanodrop 2000\nSpectrophotometer (Thermo Scientific).\n \nPCR Amplification and Metabarcoding\n \nThe ITS-2 region (350 bp) was targeted and amplified in each sample using\ncustom primers that incorporated Symbiodinium specific ITS-2-dino-forward and\nits2rev2-reverse regions [65, 73, 89]. Each primer was constructed with a\nuniversal linker, which allowed for the downstream incorporation of Illumina\nspecific adapters and barcodes during the second PCR as well as four\ndegenerative bases whose function was to increase the complexity of library\ncomposition. The forward primer was 5'-GTCTCGTCGGCTCGG + AGATGTGTATAAGAGACAG+\nNNNN + CCTCCGCTTACTTATATGCTT-3', where the underlined bases are the\n5'-universal linker, italicized bases indicate spacer sequences, Ns denote\ndegenerative bases, and the bold bases are the ITS-2-dino. The reverse primer\nwas 5'-TCGTCGGCAGCGTCA + AGATGTGTATAAGAGACAG + NNNN + GTGAATTGCAGAACTCGTG-3'.\n \nEach 20 \\u00b5L PCR reaction contained 5-100 ng DNA template, 12.4 \\u00b5L\nMilli-Q H2O, 0.2 \\u00b5M dNTPs, 1 \\u00b5M forward and 1 \\u00b5M reverse\nprimers, 1\\u00d7 Extaq buffer, and 0.5 U (units) Extaqpolymerase (Takara\nBiotechnology). PCR cycles were run for all samples using the following PCR\nprofile: 95 \\u00b0C for 5 min, 95 \\u00b0C for 40 s, 59 \\u00b0C for 2 min, 72\n\\u00b0C for 1 min per cycle and a final elongation step of 72 \\u00b0C for 7\nmin. The optimal number of PCR cycles for each sample was determined from\nvisualization of a faint band on a 2% agarose gel (usually between 22 and 28\ncycles) as per Quigley et al. [65]. PCR products were cleaned using GeneJET\nPCR purification kits (Fermentas Life Sciences), and then a second PCR\nreaction was performed to incorporate custom barcode-primer sequences [65]\nmodified for Illumina Miseq as in Klepac et al. [90]. Custom barcode primer\nsequences included 5'-Illumina adaptor + 6 bp barcode sequence + one of two\nuniversal linkers-3' (e.g., 5'-CAAGCAGAAGACGGCATACGAGAT + GTATAG +\nGTCTCGTGGGCTCGG-3', or 5'-AATGATACGGCGACCACCGAGATCTACAC + AGTCAA +\nTCGTCGGCAGCGTC-3'). Following barcoding, PCR samples were visualized on a 2%\nagarose gel and pooled based on band intensity (to ensure equal contributions\nof each sample in the pool). The resulting pool was run on a 1% SYBR Green\n(Invitrogen) stained gel for 60 min at 90 V and 120 mA. The target band was\nexcised, soaked in 30 \\u00b5L of Milli-Q water overnight at 4 \\u00b0C, and the\nsupernatant was submitted for sequencing to the University of North Carolina\nat Chapel Hill High Throughput Sequencing Facility across two lanes of\nIllumina MiSeq (one 2 \\u00d7 250, one 2 \\u00d7 300). The two lanes produced\nsimilar mapping efficiencies (73 and 73%, respectively; Table S3).\n \nBioinformatic Pipeline\n \nThe bioinformatic pipeline used here builds upon previous work by Quigley et\nal. [65] and Green et al. [73]. Raw sequences were renamed to retain sample\ninformation, and then all forward (R1) and reverse (R2) sequences were\nconcatenated into two files, which were processed using CD-HIT-OTU [91]. CD-\nHIT-OTU clusters concatenated reads into identical groups at 100% similarity\nfor identification of operational taxonomic units (OTUs). Each sample was then\nmapped back to the resulting reference OTUs, and an abundance count for each\nsample across all OTUs was produced. A BLASTn search of each reference OTU was\nthen run against the GenBank (NCBI) nucleotide reference collection using the\nrepresentative sequence from each OTU to identify which Symbiodinium lineage\nwas represented by each OTU (Table S2).\n \nThe phylogeny of representative sequences of each distinct Symbiodinium OTU\nwas constructed using the PhyML tool [92, 93] within Geneious version 10.0.5\n([http://geneious.com](\\\\\"http://geneious.com\\\\\")) [94]. PhyML was run using\nthe GTR+I model (chosen based on delta AIC values produced from jModelTest\n[92, 95]) to determine the maximum likelihood tree. The TreeDyn tool in\nPhylogeny.fr was used to view the tree (Fig. 2) [96, 97, 98]. The reference\nsequences included in the phylogeny were accessed from GenBank (Table S6).\n \n These data are reported in:  \n Baumann, J.H., Davies, S.W., Aichelman, H.E. and Castillo, K. D. (2017)\nCoral Symbiodinium Community Composition Across the Belize Mesoamerican\nBarrier Reef System is Influenced by Host Species and Thermal Variability.\nMicrob Ecol.\n[https://doi.org/10.1007/s00248-017-1096-6](\\\\\"https://doi.org/10.1007/s00248-017-1096-6\\\\\").\n \nMethodology References:\n \n65\\. Quigley KM, Davies SW, Kenkel CD, Willis BL, Matz MV, Bay LK (2014) Deep-\nsequencing method for quantifying background abundances of Symbiodinium types:\nexploring the rare Symbiodinium biosphere in reef-building corals. PLoS One\n9:e94297\n \n73\\. Green EA, Davies SW, Matz MV, Medina M (2014) Quantifying cryptic\nSymbiodinium diversity within Orbicella faveolata and Orbicella franksi at the\nFlower Garden Banks, Gulf of Mexico. PeerJ 2:e386\n \n86\\. Aronson RB, Precht WF, Toscano MA, Koltes KH (2002) The 1998 bleaching\nevent and its aftermath on a coral reef in Belize. Marine Biology xxx\n \n87\\. Davies SW, Rahman M, Meyer E, Green EA, Buschiazzo E, Medina M, Matz MV\n(2013) Novel polymorphic microsatellite markers for population genetics of the\nendangered Caribbean star coral, Montastraea faveolata. Mar Biodivers\n43:167-172\n \n88\\. Chomczynski P, Sacchi N (2006) The single-step method of RNA isolation by\nacid guanidinium thiocyanate-phenol-chloroform extraction: twenty-something\nyears on. Nat Protoc 1:581-585\n \n89\\. Stat M, Loh WKH, Hoegh-Guldberg O, Carter DA (2009) Stability of coral-\nendosymbiont associations during and after a thermal stress event in the\nsouthern Great Barrier Reef. Coral Reefs 28:709-713\n \n90\\. Klepac CN, Beal J, Kenkel CD, Sproles A, Polinski JM, Williams MA, Matz\nMV, Voss JD (2015) Seasonal stability of coral-Symbiodinium associations in\nthe subtropical coral habitat of St. Lucie Reef, Florida. Mar Ecol Prog Ser\n532:137-151\n \n91\\. Li W, Fu L, Niu B, Wu S, Wooley J (2012) Ultrafast clustering algorithms\nfor metagenomic sequence analysis. Briefings in bioinformatics: bbs035\n \n92\\. Guindon S, Gascuel O (2003) A simple, fast, and accurate algorithm to\nestimate large phylogenies by maximum likelihood. Syst Biol 52:696-704\n \n93\\. Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O\n(2010) New algorithms and methods to estimate maximum-likelihood phylogenies:\nassessing the performance of PhyML 3.0. Syst Biol 59:307-321\n \n94\\. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton\nS, Cooper A, Markowitz S, Duran C (2012) Geneious Basic: an integrated and\nextendable desktop software platform for the organization and analysis of\nsequence data. Bioinformatics 28:1647-1649\n \n95\\. Darriba D, Taboada GL, Doallo R, Posada D (2012) jModelTest 2: more\nmodels, new heuristics and parallel computing. Nat Methods 9:772-772\n \n96\\. Dereeper A, Guignon V, Blanc G, Audic S, Buffet S, Chevenet F, Dufayard\nJ-F, Guindon S, Lefort V, Lescot M (2008) Phylogeny.fr: robust phylogenetic\nanalysis for the non-specialist. Nucleic Acids Res. 36:W465-W469\n \n97\\. Dereeper A, Audic S, Claverie J-M, Blanc G (2010) BLAST-EXPLORER helps\nyou building datasets for phylogenetic analysis. BMC Evol. Biol. 10:8\n \n98\\. Chevenet F, Brun C, Ba\\u00f1uls A-L, Jacq B, Christen R (2006) TreeDyn:\ntowards dynamic graphics and annotations for analyses of trees. BMC\nbioinformatics 7:439
attribute NC_GLOBAL awards_0_award_nid String 635862
attribute NC_GLOBAL awards_0_award_number String OCE-1459522
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459522 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String OTU molecular data for coral Symbiodinium abundances \n     Belize Mesoamerican Barrier Reef System (MBRS), 2014-2015 \n   PI's: K. Castillo, J. Baumann \n   version: 2018-04-16 \n   Published in Baumann et al, Microb Ecol (2017). https://doi.org/10.1007/s00248-017-1096-6
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3  19 Dec 2019
attribute NC_GLOBAL date_created String 2018-04-30T17:16:00Z
attribute NC_GLOBAL date_modified String 2019-12-11T13:30:36Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.734674.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/734674 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Automated Sequencer
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 734685
attribute NC_GLOBAL instruments_0_description String General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step.
attribute NC_GLOBAL instruments_0_instrument_name String Automated DNA Sequencer
attribute NC_GLOBAL instruments_0_instrument_nid String 649
attribute NC_GLOBAL instruments_0_supplied_name String Illumina Mi-seq
attribute NC_GLOBAL instruments_1_acronym String Spectrophotometer
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Used to confirm presence of extracted DNA on agarose gel.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 734687
attribute NC_GLOBAL instruments_1_description String An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB20/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Spectrophotometer
attribute NC_GLOBAL instruments_1_instrument_nid String 707
attribute NC_GLOBAL instruments_1_supplied_name String Nanodrop 2000 Spectrophotometer (Thermo Scientific)
attribute NC_GLOBAL instruments_2_acronym String Thermal Cycler
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 734684
attribute NC_GLOBAL instruments_2_description String General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps.\n\n(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)
attribute NC_GLOBAL instruments_2_instrument_name String PCR Thermal Cycler
attribute NC_GLOBAL instruments_2_instrument_nid String 471582
attribute NC_GLOBAL keywords String a4a, B1_I, B1_II, B_BG, bco, bco-dmo, biological, C1_I, C1_II, C1_III, chemical, code, d1a, data, dataset, diversity, dmo, erddap, iii, illumina, illumina_run, lat_location, latitude, management, oceanography, office, otu, otu_diversity, preliminary, run, sample, site, species, species_code, thermal, thermal_type, type
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/734674/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/734674 (external link)
attribute NC_GLOBAL param_mapping String {'734674': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/734674/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_0_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_0_person_name String Karl D. Castillo
attribute NC_GLOBAL people_0_person_nid String 51711
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_1_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_1_person_name String Justin Baumann
attribute NC_GLOBAL people_1_person_nid String 733684
attribute NC_GLOBAL people_1_role String Student
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL people_2_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_2_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_2_person_name String Justin Baumann
attribute NC_GLOBAL people_2_person_nid String 733684
attribute NC_GLOBAL people_2_role String Contact
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL people_3_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_3_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_3_person_name String Nancy Copley
attribute NC_GLOBAL people_3_person_nid String 50396
attribute NC_GLOBAL people_3_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL project String Thermal History and Coral Growth
attribute NC_GLOBAL projects_0_acronym String Thermal History and Coral Growth
attribute NC_GLOBAL projects_0_description String Description from NSF award abstract:\nRising global ocean surface temperatures have reduced coral growth rates, thereby negatively impacting the health of coral reef ecosystems worldwide. Recent studies on tropical reef building corals reveal that corals' growth in response to ocean warming may be influenced by their previous seawater temperature exposure - their thermal history. Although these recent findings highlight significant variability in coral growth in response to climate change, uncertainty remains as to the spatial scale at which corals' thermal history influences how they have responded to ocean warming and how they will likely respond to predicted future increases in ocean temperature. This study investigates the influence of thermal history on coral growth in response to recent and predicted seawater temperatures increases across four ecologically relevant spatial scales ranging from reef ecosystems, to reef communities, to reef populations, to an individual coral colony. By understanding how corals have responded in the past across a range of ecological scales, the Principal Investigator will be able to improve the ability to predict their susceptibility and resilience, which could then be applied to coral reef conservation in the face of climate change. This research project will broaden the participation of undergraduates from underrepresented groups and educate public radio listeners using minority voices and narratives. The scientist will leverage current and new partnerships to recruit and train minority undergraduates, thus allowing them to engage high school students near field sites in Florida, Belize, and Panama. Through peer advising, undergraduates will document this research on a digital news site for dissemination to the public. The voice of the undergraduates and scientist will ground the production of a public radio feature exploring the topic of acclimatization and resilience - a capacity for stress tolerance within coral reef ecosystems. This project will provide a postdoctoral researcher and several graduate students with opportunities for field and laboratory research training, teaching and mentoring, and professional development. The results will allow policy makers from Florida, the Mesoamerican Barrier Reef System countries, and several Central American countries to benefit from Caribbean-scale inferences that incorporate corals' physiological abilities, thereby improving coral reef management for the region.\nCoral reefs are at significant risk due to a variety of local and global scale anthropogenic stressors. Although various stressors contribute to the observed decline in coral reef health, recent studies highlight rising seawater temperatures due to increasing atmospheric carbon dioxide concentration as one of the most significant stressors influencing coral growth rates. However, there is increasing recognition of problems of scale since a coral's growth response to an environmental stressor may be conditional on the scale of description. This research will investigate the following research questions: (1) How has seawater temperature on reef ecosystems (Florida Keys Reef Tract, USA; Belize Barrier Reef System, Belize; and Bocas Del Toro Reef Complex, Panama), reef communities (inshore and offshore reefs), reef populations (individual reefs), and near reef colonies (individual colonies), varied in the past? (2) How has seawater temperature influenced rates of coral growth and how does the seawater temperature-coral growth relationship vary across these four ecological spatial scales? (3) Does the seawater temperature-coral growth relationship forecast rates of coral growth under predicted end-of-century ocean warming at the four ecological spatial scales? Long term sea surface temperature records and small-scale high-resolution in situ seawater temperature measurements will be compared with growth chronologies for the reef building corals Siderastrea siderea and Orbicella faveolata, two keystone species ubiquitously distributed throughout the Caribbean Sea. Nutrients and irradiance will be quantified via satellite-derived observations, in situ measurements, and established colorimetric protocols. Field and laboratory experiments will be combined to examine seawater temperature-coral growth relationships under recent and predicted end-of-century ocean warming at four ecologically relevant spatial scales. The findings of this study will help us bridge the temperature-coral growth response gap across ecologically relevant spatial scales and thus improve our understanding of how corals have responded to recent warming. This will lead to more meaningful predictions about future coral growth response to climate change.
attribute NC_GLOBAL projects_0_end_date String 2018-02
attribute NC_GLOBAL projects_0_geolocation String Western Caribbean
attribute NC_GLOBAL projects_0_name String Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales
attribute NC_GLOBAL projects_0_project_nid String 635863
attribute NC_GLOBAL projects_0_project_website String http://www.unc.edu/~kdcastil/research.html (external link)
attribute NC_GLOBAL projects_0_start_date String 2015-03
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String This dataset contains relative abundance (counts?) of operational taxonomic units (OTUs) from Sumbiodinium samples collected from three coral species (S. siderea, S. radians, and P. strigosa) at nine sites across four latitudes along the Belize MBRS in 2014 and 2015. These sites were previously characterized into three thermally distinct regimes (lowTP, modTP, highTP) and exhibited variations in coral species diversity and richness.
attribute NC_GLOBAL title String [MBRS Symbiodinium OTU] - OTU molecular abundances for coral Symbiodinium, Belize Mesoamerican Barrier Reef System (MBRS), 2014-2015 (Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable species String
attribute species bcodmo_name String species
attribute species description String taxonomic species name
attribute species long_name String Species
attribute species units String unitless
variable species_code String
attribute species_code bcodmo_name String taxon_code
attribute species_code description String species code
attribute species_code long_name String Species Code
attribute species_code units String unitless
variable Sample String
attribute Sample bcodmo_name String sample
attribute Sample description String coral sample identifier
attribute Sample long_name String Sample
attribute Sample nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ (external link)
attribute Sample units String unitless
variable site String
attribute site bcodmo_name String site
attribute site description String site identifier: nearby city and the thermally distinct regime code: 1=low; 2=moderate; 3=high
attribute site long_name String Site
attribute site units String unitless
variable thermal_type String
attribute thermal_type bcodmo_name String treatment
attribute thermal_type description String thermal regime code: 1=lowTP; 2=modTP; 3=highTP. These 3 categories are based on low; moderate; and high temperature parameters (see Baumann et al 2016 for details)
attribute thermal_type long_name String Thermal Type
attribute thermal_type units String unitless
variable lat_location String
attribute lat_location bcodmo_name String region
attribute lat_location description String site location and code number
attribute lat_location long_name String Latitude
attribute lat_location standard_name String latitude
attribute lat_location units String unitless
variable illumina_run byte
attribute illumina_run _FillValue byte 127
attribute illumina_run actual_range byte 1, 2
attribute illumina_run bcodmo_name String replicate
attribute illumina_run description String Illumina run number
attribute illumina_run long_name String Illumina Run
attribute illumina_run units String unitless
variable otu_diversity byte
attribute otu_diversity _FillValue byte 127
attribute otu_diversity actual_range byte 2, 8
attribute otu_diversity bcodmo_name String count
attribute otu_diversity description String total number of operational taxonomic units (OTU) in sample
attribute otu_diversity long_name String Otu Diversity
attribute otu_diversity units String OTU's
variable C1_I int
attribute C1_I _FillValue int 2147483647
attribute C1_I actual_range int 1, 170259
attribute C1_I bcodmo_name String relative_abund
attribute C1_I description String relative abundance of OTU C1.I
attribute C1_I long_name String C1 I
attribute C1_I units String unitless
variable B1_I int
attribute B1_I _FillValue int 2147483647
attribute B1_I actual_range int 0, 123302
attribute B1_I bcodmo_name String relative_abund
attribute B1_I description String relative abundance of OTU B1.I
attribute B1_I long_name String B1 I
attribute B1_I units String unitless
variable C1_II int
attribute C1_II _FillValue int 2147483647
attribute C1_II actual_range int 0, 107514
attribute C1_II bcodmo_name String relative_abund
attribute C1_II description String relative abundance of OTU C1.II
attribute C1_II long_name String C1 II
attribute C1_II units String unitless
variable C1_III short
attribute C1_III _FillValue short 32767
attribute C1_III actual_range short 0, 29764
attribute C1_III bcodmo_name String relative_abund
attribute C1_III description String relative abundance of OTU C1.III
attribute C1_III long_name String C1 III
attribute C1_III units String unitless
variable D1a int
attribute D1a _FillValue int 2147483647
attribute D1a actual_range int 0, 37100
attribute D1a bcodmo_name String relative_abund
attribute D1a description String relative abundance of OTU D1a
attribute D1a long_name String D1a
attribute D1a units String unitless
variable B1_II short
attribute B1_II _FillValue short 32767
attribute B1_II actual_range short 0, 12000
attribute B1_II bcodmo_name String relative_abund
attribute B1_II description String relative abundance of OTU B1.II
attribute B1_II long_name String B1 II
attribute B1_II units String unitless
variable G3 short
attribute G3 _FillValue short 32767
attribute G3 actual_range short 0, 7517
attribute G3 bcodmo_name String relative_abund
attribute G3 description String relative abundance of OTU G3
attribute G3 long_name String G3
attribute G3 units String unitless
variable A4a short
attribute A4a _FillValue short 32767
attribute A4a actual_range short 0, 3692
attribute A4a bcodmo_name String relative_abund
attribute A4a description String relative abundance of OTU A4a
attribute A4a long_name String A4a
attribute A4a units String unitless
variable B_BG short
attribute B_BG _FillValue short 32767
attribute B_BG actual_range short 0, 2758
attribute B_BG bcodmo_name String relative_abund
attribute B_BG description String relative abundance of OTU B.BG
attribute B_BG long_name String B BG
attribute B_BG units String unitless
variable C3 short
attribute C3 _FillValue short 32767
attribute C3 actual_range short 0, 1143
attribute C3 bcodmo_name String relative_abund
attribute C3 description String relative abundance of OTU C3
attribute C3 long_name String C3
attribute C3 units String unitless

 
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