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Dataset Title:  14C dates from core PC1 collected from T Lake, Palau in September 2013 Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_771658)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Variable ?   Optional
Constraint #1 ?
Constraint #2 ?
   Minimum ?
   Maximum ?
 Labcode (unitless) ?          "D-AMS 007006"    "D-AMS 026976"
 depth_top (Depth, centimeters (cm)) ?          81.0    1143.0
 mat_dated (unitless) ?          "leaf fragment"    "wood fragment"
 raw_14C (years) ?          -799    8220
 raw_14C_err (years) ?          23    45
 calib_14C_95_lo (years) ?          -766    9032
 calib_14C_95_up (years) ?          25    9293
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Labcode {
    String bcodmo_name "sample";
    String description "sample identification used by 14C laboratory";
    String long_name "Labcode";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  depth_top {
    Float32 _FillValue NaN;
    Float32 actual_range 81.0, 1143.0;
    String bcodmo_name "depth_core";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "composite depth, top of 1 cm interval associated with fossil";
    String long_name "Depth";
    String standard_name "depth";
    String units "centimeters (cm)";
  mat_dated {
    String bcodmo_name "sample_descrip";
    String description "material dated";
    String long_name "Mat Dated";
    String units "unitless";
  raw_14C {
    Int16 _FillValue 32767;
    Int16 actual_range -799, 8220;
    String bcodmo_name "C14_age";
    String description "conventional radiocarbon age, relative to 1950";
    String long_name "Raw 14 C";
    String units "years";
  raw_14C_err {
    Byte _FillValue 127;
    Byte actual_range 23, 45;
    String bcodmo_name "C14_age";
    String description "standard error, radiocarbon age";
    String long_name "Raw 14 C Err";
    String units "years";
  calib_14C_95_lo {
    Int16 _FillValue 32767;
    Int16 actual_range -766, 9032;
    String bcodmo_name "C14_age";
    String description "calibrated age, 95% confidence interval lower bound";
    String long_name "Calib 14 C 95 Lo";
    String units "years";
  calib_14C_95_up {
    Int16 _FillValue 32767;
    Int16 actual_range 25, 9293;
    String bcodmo_name "C14_age";
    String description "calibrated age, 95% confidence interval upper bound";
    String long_name "Calib 14 C 95 Up";
    String units "years";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Sediment core PTLN\\u2010PC1 was collected September 2013 in sequential
1\\u2010m sections using a 5\\u2010cm\\u2010diameter Colinvaux\\u2010Vohnout
Livingstone\\u2010type rod\\u2010operated piston corer (Geocore, Columbus,
Ohio). Each section was sealed in the field and refrigerated at 4 \\u00b0C
until core splitting and subsampling.
Thirteen macrofossils were pulled from the core and were pretreated with an
acid\\u2010base\\u2010acid procedure according to the protocol in Brock et al.
(2010) to remove extraneous organic materials. Accelerator mass spectrometry
14C dating was performed by DirectAMS in Bothell, WA, United States.";
    String awards_0_award_nid "55104";
    String awards_0_award_number "OCE-1241247";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1241247";
    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 
"14C dates from core PC1, T Lake, Palau 
  PI: Julian P. Sachs (University of Washington) 
  Co-PI: Michael Dawson (UC Merced) 
  Version date: 19-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 "2019-06-21T18:00:10Z";
    String date_modified "2019-06-24T17:18:44Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.771658.1";
    String history 
"2020-07-13T04:25:09Z (local files)
2020-07-13T04:25:09Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_771658.html";
    String infoUrl "https://www.bco-dmo.org/dataset/771658";
    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 "771668";
    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_acronym "AMS";
    String instruments_1_dataset_instrument_description "Accelerator mass spectrometry 14C dating was performed by DirectAMS in Bothell, WA, United States.";
    String instruments_1_dataset_instrument_nid "771669";
    String instruments_1_description "An AMS measures \"long-lived radionuclides that occur naturally in our environment. AMS uses a particle accelerator in conjunction with ion sources, large magnets, and detectors to separate out interferences and count single atoms in the presence of 1x1015 (a thousand million million) stable atoms, measuring the mass-to-charge ratio of the products of sample molecule disassociation, atom ionization and ion acceleration.\" AMS permits ultra low-level measurement of compound concentrations and isotope ratios that traditional alpha-spectrometry cannot provide. More from Purdue University: http://www.physics.purdue.edu/primelab/introduction/ams.html";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB17/";
    String instruments_1_instrument_name "Accelerator Mass Spectrometer";
    String instruments_1_instrument_nid "527";
    String instruments_1_supplied_name "Accelerator mass spectrometry";
    String keywords "bco, bco-dmo, biological, calib, calib_14C_95_lo, calib_14C_95_up, chemical, data, dataset, dated, depth, depth_top, dmo, erddap, error, labcode, management, mat, mat_dated, oceanography, office, preliminary, raw, raw_14C, raw_14C_err";
    String license "https://www.bco-dmo.org/dataset/771658/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/771658";
    String param_mapping "{'771658': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/771658/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)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "14C dates from core PC1 collected from T Lake, Palau in September 2013 using a Colinvaux\\u2010Vohnout Livingstone\\u2010type rod\\u2010operated piston corer.";
    String title "14C dates from core PC1 collected from T Lake, Palau in September 2013";
    String version "1";
    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.

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