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Dataset Title:  Demographic data for introduced crab from multiple bays along the Central
California coast in 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_701751)
Range: longitude = -123.05872 to -121.73842°E, latitude = 36.82395 to 38.316967°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  bay {
    String bcodmo_name "site";
    String description "Name of bay";
    String long_name "Bay";
    String units "unitless";
  }
  site {
    String bcodmo_name "site";
    String description "Name/identifier of site within the bay";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 36.823953, 38.316968;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of site";
    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 -123.058725, -121.738422;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of site";
    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";
  }
  date {
    String bcodmo_name "date";
    String description "Date (yyyy-mm-dd)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  trap {
    String bcodmo_name "unknown";
    String description "Trap identifier: Fish traps = F1-10, Minnow traps = M1-10";
    String long_name "Trap";
    String units "unitless";
  }
  species_code {
    String bcodmo_name "taxon_code";
    String description "Species identifier/code";
    String long_name "Species Code";
    String units "unitless";
  }
  species {
    String bcodmo_name "taxon";
    String description "Species or taxon";
    String long_name "Species";
    String units "unitless";
  }
  size {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 142;
    String bcodmo_name "width";
    String description "Carapace width in millimeters";
    String long_name "Size";
    String units "millimeters (mm)";
  }
  sex {
    String bcodmo_name "sex";
    String description "Sex: male = M, female = F, juvenile = J, parasitized = P";
    String long_name "Sex";
    String units "unitless";
  }
  gravid {
    String bcodmo_name "sample_descrip";
    String description "G = indicates whether or not individual was with egg mass";
    String long_name "Gravid";
    String units "unitless";
  }
  injury {
    String bcodmo_name "sample_descrip";
    String description "Injuries noted on the individual. Abbreviations: ML=missing leg, MC=missing claw, 2ML= two missing legs, DA=damaged abdomen, DL=damaged leg, etc.";
    String long_name "Injury";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"We conducted monthly trappings of invasive European green crabs to gather
demographic data from several bays in northern California: Bodega Harbor,
Tomales Bay, Bolinas Lagoon, San Francisco Bay, and Elkhorn Slough. All sites
were accessed by foot via shore entry. At each of four sites within each bay,
we placed 5 baited traps (folding Fukui fish traps) and 5 baited minnow traps
in shallow intertidal areas. Traps arrays were set with fish and minnow traps
alternating and with each 20 m apart. Traps were retrieved 24 hours later and
traps were rebaited and collected again the following day.\\u00a0Trapping was
continued for three consecutive days with traps removed on the final
day.\\u00a0Each day, data for crab species, size, sex, reproductive condition,
and injuries were collected for all crabs in the field. Following data
collection, all crabs were returned to the lab, and frozen overnight prior to
disposal.\\u00a0
 
See Turner et al. (2016)\\u00a0Biological Invasions\\u00a018: 533-548 for
additional methodological details:  
 Turner, B.C., de Rivera, C.E., Grosholz, E.D., & Ruiz, G.M. 2016. Assessing
population increase as a possible outcome to management of invasive species.
Biological Invasions, 18(2), pp 533\\u2013548.
doi:[10.1007/s10530-015-1026-9](\\\\\"https://dx.doi.org/10.1007/s10530-015-1026-9\\\\\")";
    String awards_0_award_nid "699764";
    String awards_0_award_number "OCE-1514893";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1514893";
    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 
"Demographic data for introduced crab from multiple bays in 2015 
 PI: Edwin Grosholz (UC Davis) 
 Co-PI: Catherine de Rivera & Gregory Ruiz (Portland State University)  
 Version: 15 June 2017";
    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 "2017-05-31T20:37:37Z";
    String date_modified "2020-01-14T18:04:38Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.701751.1";
    Float64 Easternmost_Easting -121.738422;
    Float64 geospatial_lat_max 38.316968;
    Float64 geospatial_lat_min 36.823953;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -121.738422;
    Float64 geospatial_lon_min -123.058725;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-10-15T20:19:35Z (local files)
2021-10-15T20:19:35Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_701751.das";
    String infoUrl "https://www.bco-dmo.org/dataset/701751";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "At each of four sites within each bay, we placed 5 baited traps (folding Fukui fish traps) and 5 baited minnow traps in shallow intertidal areas.";
    String instruments_0_dataset_instrument_nid "701774";
    String instruments_0_description "Fukui produces multi-species, multi-purpose collapsible or stackable fish traps, available in different sizes.";
    String instruments_0_instrument_name "Fukui fish trap";
    String instruments_0_instrument_nid "701772";
    String instruments_0_supplied_name "folding Fukui fish traps";
    String keywords "bay, bco, bco-dmo, biological, chemical, code, data, dataset, date, dmo, erddap, gravid, injury, latitude, longitude, management, oceanography, office, preliminary, sex, site, size, species, species_code, time, trap";
    String license "https://www.bco-dmo.org/dataset/701751/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/701751";
    Float64 Northernmost_Northing 38.316968;
    String param_mapping "{'701751': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/701751/parameters";
    String people_0_affiliation "University of California-Davis";
    String people_0_affiliation_acronym "UC Davis";
    String people_0_person_name "Edwin Grosholz";
    String people_0_person_nid "699768";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Portland State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Catherine de Rivera";
    String people_1_person_nid "699771";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Portland State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Gregory Ruiz";
    String people_2_person_nid "471603";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Invasive_predator_harvest";
    String projects_0_acronym "Invasive_predator_harvest";
    String projects_0_description 
"The usual expectation is that when populations of plants and animals experience repeated losses to predators or human harvest, they would decline over time. If instead these populations rebound to numbers exceeding their initial levels, this would seem counter-intuitive or even paradoxical. However, for several decades mathematical models of population processes have shown that this unexpected response, formally known as overcompensation, is not only possible, but even expected under some circumstances. In what may be the first example of overcompensation in a marine system, a dramatic increase in a population of the non-native European green crab was recently observed following an intensive removal program. This RAPID project will use field surveys and laboratory experiments to verify that this population explosion results from overcompensation. Data will be fed into population models to understand to what degree populations processes such as cannibalism by adult crabs on juvenile crabs and changes in maturity rate of reproductive females are contributing to or modifying overcompensation. The work will provide important insights into the fundamental population dynamics that can produce overcompensation in both natural and managed populations. Broader Impacts include mentoring graduate trainees and undergraduate interns in the design and execution of field experiments as well as in laboratory culture and feeding experiments. The project will also involve a network of citizen scientists who are involved with restoration activities in this region and results will be posted on the European Green Crab Project website.
This project aims to establish the first example of overcompensation in marine systems. Overcompensation refers to the paradoxical process where reduction of a population due to natural or human causes results in a greater equilibrium population than before the reduction. A population explosion of green crabs has been recently documented in a coastal lagoon and there are strong indications that this may be the result of overcompensation. Accelerated maturation of females, which can accompany and modify the expression of overcompensation has been observed. This RAPID project will collect field data from this unusual recruitment class and conduct targeted mesocosm experiments. These will include population surveys and mark-recapture studies to measure demographic rates across study sites. Laboratory mesocosm studies using this recruitment class will determine size specific mortality. Outcomes will be used in population dynamics models to determine to what degree overcompensation has created this dramatic population increase. The project will seek answers to the following questions: 1) what are the rates of cannibalism by adult green crabs and large juveniles on different sizes of juvenile green crabs, 2) what are the consequences of smaller size at first reproduction for population dynamics and for overcompensation and 3) how quickly will the green crab population return to the levels observed prior to the eradication program five years earlier?";
    String projects_0_end_date "2016-11";
    String projects_0_geolocation "Europe";
    String projects_0_name "RAPID: A rare opportunity to examine overcompensation resulting from intensive harvest of an introduced predator";
    String projects_0_project_nid "699765";
    String projects_0_start_date "2014-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.823953;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Demographic data for introduced crab from multiple bays along the Central California coast, shallow subtidal (<3 m depth), in 2015.";
    String title "Demographic data for introduced crab from multiple bays along the Central California coast in 2015";
    String version "1";
    Float64 Westernmost_Easting -123.058725;
    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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