Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Core Logger Physical Properties for Palau Lakes Sediment Cores collected from
small boats from September to October 2013
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_771957)
Range: longitude = 134.3486 to 134.5061°E, latitude = 7.1506 to 7.3218°N, time = 2013-09-11 to 2013-10-06
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
Constraint #2 ?
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Time range:    |<   -       
[The graph you specified. Please be patient.]


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 {
  Lake_Name {
    String bcodmo_name "site";
    String description "Lake name";
    String long_name "Lake Name";
    String units "unitless";
  Core {
    String bcodmo_name "sample";
    String description "Core name";
    String long_name "Core";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 7.1506, 7.3218;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    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 134.3486, 134.5061;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    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";
  Device {
    String bcodmo_name "instrument";
    String description "Type of core";
    String long_name "Device";
    String units "unitless";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3788576e+9, 1.3810176e+9;
    String axis "T";
    String bcodmo_name "date";
    String description "Date collected; format: yyyy-mm-dd";
    String ioos_category "Time";
    String long_name "Date Collected";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date_collected";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  Logger_depth {
    Float32 _FillValue NaN;
    Float32 actual_range 0.005, 23.56;
    String bcodmo_name "depth_core";
    String description "Logger track position";
    String long_name "Logger Depth";
    String units "meters (m)";
  LacCore_Section_ID {
    String bcodmo_name "sample";
    String description "LaCore section code";
    String long_name "Lac Core Section ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  Section_Depth {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 121.7;
    String bcodmo_name "depth_core";
    String description "Depth in section";
    String long_name "Section Depth";
    String units "centimeters (cm)";
  MSCL_Sediment_Thickness {
    Float32 _FillValue NaN;
    Float32 actual_range 4.79, 7.1185;
    String bcodmo_name "sed_thickness";
    String description "Thickness of cross section";
    String long_name "MSCL Sediment Thickness";
    String units "centimeters (cm)";
  MSCL_pWave_Amplitude {
    Byte _FillValue 127;
    Byte actual_range 0, 96;
    String bcodmo_name "wave_stats";
    String description "Ultrasonic P wave amplitude";
    String long_name "MSCL P Wave Amplitude";
  MSCL_pWave_Velocity {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 1797.708;
    String bcodmo_name "wave_stats";
    String description "Ultrasonic P wave velocity";
    String long_name "MSCL P Wave Velocity";
    String units "meters per second (m s-1)";
  MSCL_Gamma_Density {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 2.4013;
    String bcodmo_name "density";
    String description "Sediment wet density via GRA";
    String long_name "MSCL Gamma Density";
    String units "grams per cubic centimeter (g cm-3)";
  MSCL_MS_Loop {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 15.7;
    String bcodmo_name "Magnetic susceptibility";
    String description "Magnetic susceptibility";
    String long_name "MSCL MS Loop";
    String units "SI * 10-5";
  MSCL_Impedance {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 2512.689;
    String bcodmo_name "unknown";
    String description "Calculated acoustic impedance";
    String long_name "MSCL Impedance";
    String units "meters per second (m/s) times grams per cubic centimeter (g/cm^3) (or: m g s-1 cm-3)";
  MSCL_Fractional_Porosity {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 1.8914;
    String bcodmo_name "porosity";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Acoustic-calculated porosity";
    String long_name "MSCL Fractional Porosity";
  MSCL_Electrical_Resistivity {
    Float32 _FillValue NaN;
    Float32 actual_range -999.0, 0.0084;
    String bcodmo_name "Sediment resistivity";
    String description "Calculated induced-current resistivity";
    String long_name "MSCL Electrical Resistivity";
    String units "Ohm-meters (Ohm*m)";
  MSCL_Temperature_Logging_Room {
    Float32 _FillValue NaN;
    Float32 actual_range 22.96, 25.37;
    String bcodmo_name "temperature";
    String description "Temperature during logging";
    String long_name "MSCL Temperature Logging Room";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degress Celsius";
  Original_Section_ID {
    String bcodmo_name "sample";
    String description "Field ID; original core section name";
    String long_name "Original Section ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Un-split core sections were received at the National Lacustrine Core
Repository (LaCore) facility and analyzed via Geotek MSCL core logger. Gamma
ray attenuation density, non-contacting electrical resistivity, p-wave
velocity, and magnetic susceptibility were measured via LaCore\\u2019s standard
procedures. Acoustical impedance and fractional porosity are calculated
    String awards_0_award_nid "55103";
    String awards_0_award_number "OCE-1241255";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1241255";
    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 awards_1_award_nid "55104";
    String awards_1_award_number "OCE-1241247";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1241247";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Palau Lakes Core Properties 
  PI: Julian P. Sachs (University of Washington) 
  Co-PI: Michael Dawson (UC Merced) 
  Version date: 27-June-2019";
    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 "2019-06-27T18:51:17Z";
    String date_modified "2019-07-12T19:02:47Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.771957.1";
    Float64 Easternmost_Easting 134.5061;
    Float64 geospatial_lat_max 7.3218;
    Float64 geospatial_lat_min 7.1506;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 134.5061;
    Float64 geospatial_lon_min 134.3486;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-20T10:38:28Z (local files)
2024-04-20T10:38:28Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_771957.das";
    String infoUrl "https://www.bco-dmo.org/dataset/771957";
    String institution "BCO-DMO";
    String instruments_0_acronym "Piston Corer";
    String instruments_0_dataset_instrument_description "Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer (Geocore, Columbus, Ohio): Hand-operated sediment coring device.";
    String instruments_0_dataset_instrument_nid "771963";
    String instruments_0_description "The piston corer is a type of bottom sediment sampling device. A long, heavy tube is plunged into the seafloor to extract samples of mud sediment. A piston corer uses a \"free fall\" of the coring rig to achieve a greater initial force on impact than gravity coring.  A sliding piston inside the core barrel reduces inside wall friction with the sediment and helps to evacuate displaced water from the top of the corer. A piston corer is capable of extracting core samples up to 90 feet in length.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/51/";
    String instruments_0_instrument_name "Piston Corer";
    String instruments_0_instrument_nid "519";
    String instruments_0_supplied_name "Colinvaux‐Vohnout Livingstone‐type rod‐operated piston corer";
    String instruments_1_dataset_instrument_description "Universal Percussion Corer (Aquatic Research Instruments, Hope, Indiana): Hand-operated sediment coring device.";
    String instruments_1_dataset_instrument_nid "771962";
    String instruments_1_description 
"Capable of being performed in numerous environments, percussion coring techniques are just as they sound. Similar to push coring (in which the core barrel is pushed into the sediment by hand), in percussion coring, the core is driven into the sediment by a percussion instrument such as a mallet or slide hammer.

Description from: https://web.whoi.edu/coastal-group/about/how-we-work/field-methods/coring/";
    String instruments_1_instrument_name "Percussion Corer";
    String instruments_1_instrument_nid "771961";
    String instruments_1_supplied_name "Universal Percussion Corer";
    String instruments_2_acronym "MSCL-S";
    String instruments_2_dataset_instrument_description "Multi-Sensor Core Logger (Geotek Ltd., Daventry, Northamptonshire, UK). Automated core scanning suite.";
    String instruments_2_dataset_instrument_nid "772902";
    String instruments_2_description "The Geotek Standard Multi-Sensor Core Logger (MSCL-S) is a commercially available tool for gathering both physical and chemical properties from core samples in an automated and quality controlled way. See more info from the manufracturer: https://www.geotek.co.uk/products/mscl-s/";
    String instruments_2_instrument_name "Multi-Sensor Core Logger";
    String instruments_2_instrument_nid "772901";
    String instruments_2_supplied_name "MSCL-S";
    String keywords "amplitude, area, bco, bco-dmo, biological, chemical, collected, core, coverage, data, dataset, date, density, depth, device, dmo, electrical, erddap, fractional, gamma, impedance, lac, LacCore_Section_ID, lake, Lake_Name, latitude, local, logger, Logger_depth, logging, longitude, loop, management, mscl, MSCL_Electrical_Resistivity, MSCL_Fractional_Porosity, MSCL_Gamma_Density, MSCL_Impedance, MSCL_MS_Loop, MSCL_pWave_Amplitude, MSCL_pWave_Velocity, MSCL_Sediment_Thickness, MSCL_Temperature_Logging_Room, name, oceanography, office, original, Original_Section_ID, porosity, preliminary, resistivity, room, section, Section_Depth, sediment, temperature, thickness, time, velocity, wave";
    String license "https://www.bco-dmo.org/dataset/771957/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/771957";
    Float64 Northernmost_Northing 7.3218;
    String param_mapping "{'771957': {'Lat': 'flag - latitude', 'Date_collected': 'flag - time', 'Lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/771957/parameters";
    String people_0_affiliation "University of Washington";
    String people_0_affiliation_acronym "UW";
    String people_0_person_name "Julian P. Sachs";
    String people_0_person_nid "51578";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Merced";
    String people_1_affiliation_acronym "UC Merced";
    String people_1_person_name "Michael N Dawson";
    String people_1_person_nid "51577";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "PaPaPro";
    String projects_0_acronym "PaPaPro";
    String projects_0_description 
"This project will survey the taxonomic, genetic, and functional diversity of the organisms found in marine lakes, and investigate the processes that cause gains and losses in this biodiversity. Marine lakes formed as melting ice sheets raised sea level after the last glacial maximum and flooded hundreds of inland valleys around the world. Inoculated with marine life from the surrounding sea and then isolated to varying degrees for the next 6,000 to 15,000 years, these marine lakes provide multiple, independent examples of how environments and interactions between species can drive extinction and speciation. Researchers will survey the microbes, algae, invertebrates, and fishes present in 40 marine lakes in Palau and Papua, and study how diversity has changed over time by retrieving the remains of organisms preserved in sediments on the lake bottoms. The project will test whether the number of species, the diversity of functional roles played by organisms, and the genetic diversity within species increase and decrease in parallel; whether certain species can greatly curtail diversity by changing the environment; whether the size of a lake determines its biodiversity; and whether the processes that control diversity in marine organisms are similar to those that operate on land.
Because biodiversity underlies the ecosystem services on which society depends, society has a great interest in understanding the processes that generate and retain biodiversity in nature. This project will also help conserve areas of economic importance. Marine lakes in the study region are important for tourism, and researchers will work closely with governmental and non-governmental conservation and education groups and with diving and tourism businesses to raise awareness of the value and threats to marine lakes in Indonesia and Palau.";
    String projects_0_end_date "2017-12";
    String projects_0_geolocation "Western Pacific; Palau; Indonesia (West Papua)";
    String projects_0_name "Do Parallel Patterns Arise from Parallel Processes?";
    String projects_0_project_nid "2238";
    String projects_0_project_website "http://marinelakes.ucmerced.edu/";
    String projects_0_start_date "2013-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 7.1506;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Core Logger Physical Properties for Palau Lakes Sediment Cores collected from small boats from September to October 2013.";
    String time_coverage_end "2013-10-06";
    String time_coverage_start "2013-09-11";
    String title "Core Logger Physical Properties for Palau Lakes Sediment Cores collected from small boats from September to October 2013";
    String version "1";
    Float64 Westernmost_Easting 134.3486;
    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
For example,
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.

ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact