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Dataset Title:  Dates and locations of colonization sampler deployments and recoveries from
East Pacific Rise (EPR) deep-sea vents, 2006-2017
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_733210)
Range: longitude = -104.2912 to -104.2912°E, latitude = 9.8387 to 9.8387°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Recover_Cruise {
    String bcodmo_name "Cruise Name";
    String description "recovery cruise local name";
    String long_name "Recover Cruise";
    String units "unitless";
  }
  Vessel {
    String bcodmo_name "ship";
    String description "recovery vessel name";
    String long_name "Vessel";
    String units "unitless";
  }
  Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "recovery cruise identification";
    String long_name "Cruise ID";
    String units "unitless";
  }
  Cruise_start {
    String bcodmo_name "date_start";
    String description "recovery cruise start date";
    String long_name "Cruise Start";
    String source_name "Cruise_start";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Cruise_end {
    String bcodmo_name "date_end";
    String description "recovery cruise end date";
    String long_name "Cruise End";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Chf_Sci {
    String bcodmo_name "Chief Scientist name";
    String description "recovery cruise chief scientist for cruise";
    String long_name "Chf Sci";
    String units "unitless";
  }
  Vehicle {
    String bcodmo_name "unknown";
    String description "name of deep dive vehicle used for sampler collection";
    String long_name "Vehicle";
    String units "unitless";
  }
  Start {
    String bcodmo_name "date_start";
    String description "deployment date of colonization sampler; formatted as yyyy-mm-dd";
    String long_name "Start";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  End {
    String bcodmo_name "date_end";
    String description "recovery date of colonization sampler; formatted as yyyy-mm-dd";
    String long_name "End";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Location {
    String bcodmo_name "site";
    String description "sampling location";
    String long_name "Location";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 9.8387, 9.8387;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is postive";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -104.2912, -104.2912;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Site {
    String bcodmo_name "site";
    String description "site name";
    String long_name "Site";
    String units "unitless";
  }
  Habitat {
    String bcodmo_name "site_descrip";
    String description "habitat description - major life forms";
    String long_name "Habitat";
    String units "unitless";
  }
  Chemistry {
    String bcodmo_name "comment";
    String description "whether and when chemical measurements were collected by French colleagues";
    String long_name "Chemistry";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Colonists were collected on experimental surfaces (sandwiches) constructed
from six 0.7-cm-thick Lexan plastic plates separated by 1 cm spacers, creating
a lattice 10 cm on a side\\u00a0(Bayer et al, 2011). Sandwiches were deployed
and recovered by the submersible Alvin. Deployment durations were 4, 2, and 11
months respectively for the recoveries at 9, 11, and 22 months after an
eruption that took place in January 2006. The thermal environment at the base
of each sandwich was measured with the Alvin temperature probe on deployment
and recovery for ca 1\\u20132 min until a clear maximum value was obtained.
Habitat chemistry was measured at 11 and 23 months.";
    String awards_0_award_nid "472890";
    String awards_0_award_number "OCE-1356738";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1356738";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Colonization time-series sample log - chemistry 
   Dates of deployment and recovery of colonization experiments at East Pacific Rise deep-sea vents 
   PI: L. Mullineaux (WHOI) 
   version: 2018-03-30";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-04-11T18:04:29Z";
    String date_modified "2019-12-11T15:08:25Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.733210.1";
    Float64 Easternmost_Easting -104.2912;
    Float64 geospatial_lat_max 9.8387;
    Float64 geospatial_lat_min 9.8387;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -104.2912;
    Float64 geospatial_lon_min -104.2912;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-10-24T06:34:59Z (local files)
2021-10-24T06:34:59Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_733210.das";
    String infoUrl "https://www.bco-dmo.org/dataset/733210";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Used to identify specimens found on the colonization plates.";
    String instruments_0_dataset_instrument_nid "733216";
    String instruments_0_description "Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
    String instruments_0_instrument_name "Microscope-Optical";
    String instruments_0_instrument_nid "708";
    String instruments_0_supplied_name "Dissecting microscope";
    String instruments_1_dataset_instrument_description "Used to track the in situ temperature during colonization at the vent zones.";
    String instruments_1_dataset_instrument_nid "733217";
    String instruments_1_description "Records temperature data over a period of time.";
    String instruments_1_instrument_name "Temperature Logger";
    String instruments_1_instrument_nid "639396";
    String instruments_1_supplied_name "temperature recorders (Hobo)";
    String keywords "bco, bco-dmo, biological, chemical, chemistry, chf, Chf_Sci, cruise, Cruise_end, Cruise_ID, data, dataset, dmo, end, erddap, habitat, latitude, Location, longitude, management, oceanography, office, preliminary, recover, Recover_Cruise, sci, site, start, time, vehicle, vessel";
    String license "https://www.bco-dmo.org/dataset/733210/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/733210";
    Float64 Northernmost_Northing 9.8387;
    String param_mapping "{'733210': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/733210/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Lauren Mullineaux";
    String people_0_person_nid "472886";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Nancy Copley";
    String people_1_person_nid "50396";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Larval supply at EPR vents";
    String projects_0_acronym "Larval supply at EPR vents";
    String projects_0_description 
"NSF award abstract:
The long-term aim of this project is to understand the effects of disturbance on species occurrence and regional diversity in vent systems. The investigator is working toward that goal by conducting field studies on larval dispersal and colonization processes, and by collaborating with theoretical ecologists. The present project investigates a unique set of field observations gathered from decade-long monitoring of vents before and after a recent catastrophic eruption on the East Pacific Rise (EPR). The specific objectives are to determine whether succession is deterministic (or are there alternative stable states?), and whether disturbance at one vent field can influence community structure on a larger spatial scale. Answering these questions requires characterization of larval exchange between vents and of the effect of pioneer colonists on successional trajectory. The approach is to characterize species composition of larvae and colonists at three vent sites on the EPR: one that was disturbed by the eruption (9 degrees 50 minutes N) and two that remained undisturbed (9 degrees 47 minutes N and 9 degrees 30 minutes N). The investigators are running out of time to process the samples, because they degrade over time and the specimens are at risk of losing morphological detail which is critical for species identification. This award has modest funding to focus specifically on species identification and enumeration, without attempting to interface with models or population genetic analyses. These will come later.
The question of how vent communities persist despite living in patchy, ephemeral habitat has intrigued scientists since the discovery of vents in the late 1970s. A necessary synthesis of the influence of larval connectivity on metacommunity dynamics at the regional scale continues to elude us. This project works toward that synthesis by characterizing critical aspects of larval exchange and community succession at vents on the well-studied EPR. This study has general application to vent systems globally because it challenges the assumption that vent succession is deterministic, and it will contribute to our understanding of spatial scales of larval connectivity. The data on larval exchange and community resilience that will result from this study are precisely the kind needed for metapopulations modeling, for prediction of vent community response to anthropogenic events such as seafloor mining, and to inform management efforts at the Marianas Trench Marine National Monument.";
    String projects_0_end_date "2016-02";
    String projects_0_geolocation "Near 9 50’N on East Pacific Rise: 10 N 107 W";
    String projects_0_name "Effects of Disturbance and Larval Supply on Communities at Hydrothermal Vents";
    String projects_0_project_nid "472885";
    String projects_0_start_date "2014-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.8387;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Location,latitude,longitude";
    String summary "This dataset dates and locations of colonization sampler deployments and recoveries from East Pacific Rise (EPR) deep-sea vents, 2006-2017.";
    String title "Dates and locations of colonization sampler deployments and recoveries from East Pacific Rise (EPR) deep-sea vents, 2006-2017";
    String version "1";
    Float64 Westernmost_Easting -104.2912;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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