BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | [Adapted from: Randall et al. 2014 Ecology 95(7) 1981-1994]\\u00a0\\u00a0 \\u00a0\n \nTo assess the prevalence of coral diseases at each location, a survey area\n(1-10 km^2 depending on the region\\u2019s geographic features) of hard-bottom\nhabitat was visually defined using [Google\nEarth](\\\\\"http://earth.google.com/\\\\\"). The survey area was divided into 100\nby 100 meter cells (using Google Earth Path 1.4.4). Within each location,\ntwenty-five 100 by 100 meter cells were randomly selected as sites. These\nsites were defined as the primary sampling units. A single 10 by 10\nmeterquadrat was haphazardly placed within each site, for field-data\ncollection. To maintain consistency across locations and to minimize potential\neffects of coral-assemblage differences, three criteria had to be met for a\nsite to be surveyed: (1) the depth averaged between 5 and 10 meters, (2) the\nsubstrate was hard bottom, and (3) corals were present. If any one of these\ncriteria was not met at a given site, it was rejected and the next randomly\ngenerated site was selected. In total, twenty-five, 10 by 10 meter quadrats\nwere sampled at each location, for a total of 50 quadrats across two frequent-\nanomaly locations and 50 quadrats across two reference locations, for a total\nsurvey area of 10,000 m^2.\\u00a0\n \nAll four locations were surveyed between 2 July and 1 September 2012. At each\nsite, divers surveyed each 100 m^2\\u00a0quadrat by systematically laying ten\ncontiguous 1 x 10 m belt transects onto the reef substrate. Each coral colony\nwith a disease sign was identified in situ and the species and disease signs\nwere recorded. Four disease signs were identified: (1) white sign was defined\nas a bright, white band or patch of recent mortality adjacent to healthy-\nappearing tissue (i.e., the tissue bordered a well-defined edge of exposed\nskeleton not yet colonized by algae or other biofouling organisms) (sensu\nBythell et al. 2004) , (2) dark spot was defined as tissue with purple, brown\nor black lesions, forming spots of irregular shapes (sensu Goreau et al.\n1998), (3) black band was defined as a black band over the coral tissue\nexposing white skeleton with different stages of biofouling (sensu Richardson\n2004), and (4) yellow sign was defined as a yellow discoloration of tissue\nforming a band or blotches (sensu Santavy et al. 1999). White signs and black\nbands were associated with recent tissue loss; yellow signs and dark spots\nwere usually, but not always, associated with recent tissue loss. Notably,\nvery few yellow bands were observed that followed the classical description\n(Reeves 1994). Instead, most coral colonies presented a patchy, non-uniform\nyellowing of the tissue; therefore the condition was termed \\u2018yellow\nsign.\\u2019 Additionally, any area of recently exposed white skeleton, which\nwas not clearly caused by predation or a competitive interaction, was recorded\nas a white sign, including white plagues, white bands and white pox. The\nwhite-sign diseases were not differentiated because of similar- or identical-\nappearing signs, unknown etiologies for several diseases, and the possibility\nthat the diseases were caused by the same pathogens (Bythell et al. 2004,\nAinsworth et al. 2007). Coral colonies were occasionally recorded with two or\nmore signs of disease, when those signs appeared to be spatially independent.\n \nDisease mapping:\n \nFour 100 m^2 quadrats per location were mapped in their entirety, for a total\nof eight 100 m^2 quadrats per temperature-stress level. Approximately 50\ndigital images were captured from each video-transect file using Free Video to\nJPG Converter v. 5.0.58 build 324. The digital images were stitched together\nusing Adobe Photoshop\\u00a0CS5 v. 12.0, and ten 1\\u2013m by 10\\u2013m image\nmosaics were created for each 10 m by 10 m site. Each photo-mosaic was printed\nand, with the aid of the digital images and videos, the following data were\nmeasured and recorded for every coral colony within each site: (1) species,\n(2) spatial coordinates, (3) maximum diameter, (4) perpendicular diameter, (5)\nan estimate of percent partial mortality (0, <5, 25, 50, 75, or >95 %), and\n(6) \\u2018health\\u2019 status. Corals were identified as either healthy, or as\nhaving white signs, dark spots, black bands, yellow signs, or unknown signs of\ndisease (as described above). Bleached or pale colonies also were recorded,\nand when multiple disease signs were present on an individual colony, both\nsigns were recorded. Data from each site that was mapped are found in\nindividual excel files in the folder called Disease mapping site data\nfiles.\\u00a0 |
attribute | NC_GLOBAL | awards_0_award_nid | String | 562562 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1219804 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1219804 |
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 | All Raw Mapping Data \n R. van Woesik, PI \n Version 2 September 2016 |
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/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2016-09-06T20:16:14Z |
attribute | NC_GLOBAL | date_modified | String | 2019-05-13T20:42:07Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.658275.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/658275 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, data, dataset, depth, depth_max, dmo, erddap, genus, level, management, meter, number, oceanography, office, preliminary, reef, sign, sign_1, sign_2, sign_3, sign_4, site, site_number, species, temp_level, temperature, uin |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/658275/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/658275 |
attribute | NC_GLOBAL | param_mapping | String | {'658275': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/658275/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Florida Institute of Technology |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | FIT |
attribute | NC_GLOBAL | people_0_person_name | String | Robert van Woesik |
attribute | NC_GLOBAL | people_0_person_nid | String | 562565 |
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 | Florida Institute of Technology |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | FIT |
attribute | NC_GLOBAL | people_1_person_name | String | Dr Carly J. Randall |
attribute | NC_GLOBAL | people_1_person_nid | String | 657875 |
attribute | NC_GLOBAL | people_1_role | String | Contact |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | people_2_affiliation | String | Florida Institute of Technology |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | FIT |
attribute | NC_GLOBAL | people_2_person_name | String | Robert van Woesik |
attribute | NC_GLOBAL | people_2_person_nid | String | 562565 |
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 | Hannah Ake |
attribute | NC_GLOBAL | people_3_person_nid | String | 650173 |
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 | Contagious coral diseases? |
attribute | NC_GLOBAL | projects_0_acronym | String | Contagious coral diseases? |
attribute | NC_GLOBAL | projects_0_description | String | Diseases are one of the greatest threats to corals in the Caribbean. Yet, very little is known about marine diseases in general and coral diseases in particular. Although some pathogens have been acknowledged, identifying coral pathogens has proven difficult and evasive. Presently, coral diseases are assumed to be both infectious and contagious, suggesting that infection is caused by pathogens being passed from colony to colony through a vector. However, few studies have tested this assumption. Spatial epidemiology, or disease mapping, can provide insight into whether diseases cluster and follow a contagious-disease model. In this study we will take a two tiered approach. First, we will use a hierarchical sampling design to test whether coral diseases follow a contagious-disease model over two spatial scales in the Caribbean. We will also undertake this study in locations with and without a recent history of frequent thermal stress to test the alternate hypothesis that coral diseases are not infectious and contagious but are instead the result of compromised coral hosts that have undergone thermal stress. Second, we will undertake transmission experiments to examine whether coral diseases are indeed transmissible.\nThe research will take place in the Caribbean, at four locations: (1) Mahahual, Mexico (latitude 18\"42’N, longitude 87\"42’W) and (2) Tuxpan, Mexico (latitude 21\"01’N, longitude 97\"11'W), (3) Bocas del Toro, Panama (latitude 9\"12’N, longitude 82\"09’W) and (4) St. John, United States Virgin Islands (USVI) (latitude 18\"18’N, longitude 64\"45’W).\nIntellectual merit\nThere is a certain urgency to identify coral diseases, predict their prevalence, and determine whether they are infectious and contagious or non-communicable. By understanding the etiology of coral diseases, we can determine whether human intervention will help reduce their prevalence. Without understanding these processes, we will merely continue to measure disease, continue to look for pathogens that may not exist, and watch coral populations continue to deteriorate. Although microbes play a role in disease infection, many coral diseases might not be transmissible. Therefore, we may need to incorporate environmental threshold parameters, which may be more likely the underlying mechanisms driving coral-disease dynamics. The results will have important implications for modeling diseases and predicting contemporary and future coral disease outbreaks. \nBroader Impact\nThe underlying assumption of most disease models is contagion, which is the transmission of pathogens from infected to susceptible hosts. This study will examine this basic assumption. If it turns out that coral diseases are a consequence of a two-step process, and the corals that are tolerant to temperature stress are also resistant to diseases, then making predictions based on temperature trends will be transformational, especially in rapidly warming, yet heterogeneous, oceans. The study will train students in the field of spatial epidemiology of coral diseases. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2016-05 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Caribbean |
attribute | NC_GLOBAL | projects_0_name | String | Are coral diseases contagious? |
attribute | NC_GLOBAL | projects_0_project_nid | String | 562563 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2012-06 |
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 | Data describing every diseased coral record from surveys in the Caribbean during 2012 (Contagious coral diseases project) |
attribute | NC_GLOBAL | title | String | [Mapping information and signs for individual diseased corals] - Data describing every diseased coral record from surveys in the Caribbean during 2012 (Contagious coral diseases project) (Are coral diseases contagious?) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | temp_level | String | ||
attribute | temp_level | bcodmo_name | String | temperature |
attribute | temp_level | description | String | Temperature stress level. |
attribute | temp_level | long_name | String | Temp Level |
attribute | temp_level | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | temp_level | units | String | unitless |
variable | location | String | ||
attribute | location | bcodmo_name | String | site |
attribute | location | description | String | Location where coral was located. |
attribute | location | long_name | String | Location |
attribute | location | units | String | unitless |
variable | reef | String | ||
attribute | reef | bcodmo_name | String | site |
attribute | reef | description | String | Reef where coral was located. |
attribute | reef | long_name | String | Reef |
attribute | reef | units | String | unitless |
variable | site_number | byte | ||
attribute | site_number | _FillValue | byte | 127 |
attribute | site_number | actual_range | byte | 1, 25 |
attribute | site_number | bcodmo_name | String | site |
attribute | site_number | colorBarMaximum | double | 100.0 |
attribute | site_number | colorBarMinimum | double | 0.0 |
attribute | site_number | description | String | Site ID number. |
attribute | site_number | long_name | String | Site Number |
attribute | site_number | units | String | unitless |
variable | depth_max | float | ||
attribute | depth_max | _FillValue | float | NaN |
attribute | depth_max | actual_range | float | 4.6, 12.2 |
attribute | depth_max | bcodmo_name | String | depth_max |
attribute | depth_max | colorBarMaximum | double | 8000.0 |
attribute | depth_max | colorBarMinimum | double | -8000.0 |
attribute | depth_max | colorBarPalette | String | TopographyDepth |
attribute | depth_max | description | String | Maximum depth of site. |
attribute | depth_max | long_name | String | Depth |
attribute | depth_max | standard_name | String | depth |
attribute | depth_max | units | String | meters |
variable | meter | String | ||
attribute | meter | bcodmo_name | String | site |
attribute | meter | description | String | Meter along 10 meter transect. |
attribute | meter | long_name | String | Meter |
attribute | meter | units | String | unitless |
variable | genus | String | ||
attribute | genus | bcodmo_name | String | genus |
attribute | genus | description | String | Genus of coral sampled. |
attribute | genus | long_name | String | Genus |
attribute | genus | units | String | unitless |
variable | species | String | ||
attribute | species | bcodmo_name | String | species |
attribute | species | description | String | Species of coral sampled. |
attribute | species | long_name | String | Species |
attribute | species | units | String | unitless |
variable | UIN | short | ||
attribute | UIN | _FillValue | short | 32767 |
attribute | UIN | actual_range | short | 1, 6599 |
attribute | UIN | bcodmo_name | String | sample |
attribute | UIN | description | String | Individual coral ID number. |
attribute | UIN | long_name | String | UIN |
attribute | UIN | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | UIN | units | String | unitless |
variable | sign_1 | String | ||
attribute | sign_1 | bcodmo_name | String | brief_desc |
attribute | sign_1 | description | String | First disease sign identified. |
attribute | sign_1 | long_name | String | Sign 1 |
attribute | sign_1 | units | String | unitless |
variable | sign_2 | String | ||
attribute | sign_2 | bcodmo_name | String | brief_desc |
attribute | sign_2 | description | String | Second disease sign identified. |
attribute | sign_2 | long_name | String | Sign 2 |
attribute | sign_2 | units | String | unitless |
variable | sign_3 | String | ||
attribute | sign_3 | bcodmo_name | String | brief_desc |
attribute | sign_3 | description | String | Third disease sign identified. |
attribute | sign_3 | long_name | String | Sign 3 |
attribute | sign_3 | units | String | unitless |
variable | sign_4 | String | ||
attribute | sign_4 | bcodmo_name | String | brief_desc |
attribute | sign_4 | description | String | Fourth disease sign identified. |
attribute | sign_4 | long_name | String | Sign 4 |
attribute | sign_4 | units | String | unitless |