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Dataset Title:  Egg sizes and macromere allocation for diverse annelids and molluscs Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_683186)
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 {
  taxon {
    String bcodmo_name "taxon";
    String description "Broader taxonomic group";
    String long_name "Taxon";
    String units "unitless";
  }
  species {
    String bcodmo_name "species";
    String description "Species name";
    String long_name "Species";
    String units "unitless";
  }
  nutrition {
    Byte _FillValue 127;
    Byte actual_range 0, 1;
    String bcodmo_name "unknown";
    String description "Larval nutrition; 0=feeding, 1=nonfeeding";
    String long_name "Nutrition";
    String units "unitless";
  }
  taxa {
    String bcodmo_name "unknown";
    String description "?";
    String long_name "Taxa";
    String units "unitless";
  }
  egg_diameter {
    Float32 _FillValue NaN;
    Float32 actual_range 45.4, 1700.0;
    String bcodmo_name "unknown";
    String description "Egg diameter";
    String long_name "Egg Diameter";
    String units "micrometers (um)";
  }
  egg_volume {
    Float64 _FillValue NaN;
    Float64 actual_range 49002.97971, 2.572774333e+9;
    String bcodmo_name "unknown";
    String description "Egg volume";
    String long_name "Egg Volume";
    String units "cubic micrometer (um3)";
  }
  allocation {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4814, 0.9984;
    String bcodmo_name "unknown";
    String description "Macromere allocation: proportion of egg volume found in the four macromeres at 8-cell stage";
    String long_name "Allocation";
    String units "unitless";
  }
  alloc_pcnt {
    Float32 _FillValue NaN;
    Float32 actual_range 48.14, 99.84;
    String bcodmo_name "unknown";
    String description "Macromere allocation expressed as a percentage";
    String long_name "Alloc Pcnt";
    String units "unitless";
  }
  log_egg_diameter {
    Float32 _FillValue NaN;
    Float32 actual_range 1.6571, 3.2304;
    String bcodmo_name "unknown";
    String description "Log of egg diameter";
    String long_name "Log Egg Diameter";
    String units "micrometers (um)";
  }
  log_egg_volume {
    Float32 _FillValue NaN;
    Float32 actual_range 4.6902, 9.4104;
    String bcodmo_name "unknown";
    String description "Log of egg volume";
    String long_name "Log Egg Volume";
    String units "cubic micrometer (um3)";
  }
  logit_allocation {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0744, 6.4362;
    String bcodmo_name "unknown";
    String description "Logit of allocation";
    String long_name "Logit Allocation";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"See complete methodolgy in:  
 Jones, C., et al. 2016.\\u00a0Allocation of cytoplasm to macromeres in
embryos of annelids and molluscs is positively correlated with egg size.
Evolution & Development,\\u00a018:3, 156\\u2013170.
doi:[10.1111/ede.12189](\\\\\"https://dx.doi.org/10.1111/ede.12189\\\\\")
 
In brief (extracted from above):  
 Data on 43 specieswere obtained fromthe literature.We searched the online
databases Web of Science, Biological Abstracts, and Zoological Record using
one or more keywords (development, cleavage, macromeres, micromeres, or
blastomeres) and taxonomic names (Spiralia, Gastropoda, Bivalvia, Annelida, or
Polychaeta).\\u00a0We used studies that contained at least one clear micrograph
or drawing of an embryo at the eight-cell stage, with boundaries of at least
one micromere and macromere visible.
 
Embryos of an additional six species were imaged in our laboratory. For three
species of gastropods in the genus Crepidula, we could measure the dimensions
of a specific isolated zygote, allow it to cleave, and then image it at the
eightcell stage to obtain estimates of allocation to macromeres. We did this
for Crepidula fornicata and C. plana (collected June 2014 from Cedar Beach,
Bailey Island, Maine: 43.743730, -69.986991) and C. williamsi (collected
several times in 2013 and 2014 from White Point, Rancho Palos Verde,
California: 33.715604, -118.319490).\\u00a0For these species, capsules
deposited in the laboratory were removed from females, and 8\\u201310 embryos
from each brood were imaged at the zygote and eight-cell stages. Eight-cell
stages were imaged in animal-pole view using brightfield illumination.
 
For members of three additional species we could not follow the development of
specific isolated zygotes, but instead imaged different zygotes and eight-cell
embryos from the same or different broods, depending on the species. We
collected aggregations of S. tribranchiata from floating docks at the Alamitos
Bay Marina, Long Beach,California (33.754743,-118.111179) in May 2014. We
broke open tubes until zygotes and eight-cell embryos were found. Ten zygotes
and 10 eight-cell embryos (in animal-pole view) were imaged. Adults of the
opisthobranch gastropod Haminoea vesicula were collected in May 2014 from the
intertidal zone of Alamitos Bay, Long Beach, California (33.747227,
-118.118773). Adults kept in mesh-sided containers in a recirculating seawater
system deposited egg masses on the sides of the containers. We imaged 10
zygotes and 10 eight-cell embryos (in animal-pole view) fromone brood fromeach
of three different parents.Wealso imaged zygotes and eight-cell embryos (in
animal-pole view) of the poecilogonous opisthobranch gastropod Alderia
willowi. Individual adults of this species deposit egg masses containing small
zygotes (approx. 68mm diameter) or egg masses containing large zygotes
(approx. 105mm) (Krug 2007). We collected adults of A. willowi in April and
May 2014 from their host alga, Vaucheria longicaulis, from the intertidal zone
of Golden Shore Marine Biological Reserve, Long Beach, California (33.763624,
-118.202146). Pairs of adults were kept in small dishes in the laboratory
until broods were deposited.We imaged 10 zygotes and 10 eight-cell embryos
from each of three \\\"small-egg\\\" broods, and 10 zygotes and 10 eight-cell
embryos from each of three \\\"large-egg\\\" broods, each deposited by a different
adult.
 
We estimated the volumes of cytoplasm allocated to micromeres and macromeres
at the eight-cell stage from images of eight-cell embryos.";
    String awards_0_award_nid "528890";
    String awards_0_award_number "OCE-1060801";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1060801";
    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 
"Egg sizes and macromere allocation 
 PI: Bruno Pernet (CSU Long Beach) 
 Version: 28 February 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 "2017-02-28T18:14:47Z";
    String date_modified "2019-08-02T20:10:32Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.683186.1";
    String history 
"2024-03-29T13:22:06Z (local files)
2024-03-29T13:22:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_683186.das";
    String infoUrl "https://www.bco-dmo.org/dataset/683186";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_nid "683246";
    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 keywords "alloc, alloc_pcnt, allocation, bco, bco-dmo, biological, chemical, data, dataset, diameter, dmo, egg, egg_diameter, egg_volume, erddap, log, log_egg_diameter, log_egg_volume, logit, logit_allocation, management, nutrition, oceanography, office, pcnt, preliminary, species, taxa, taxon, volume";
    String license "https://www.bco-dmo.org/dataset/683186/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/683186";
    String param_mapping "{'683186': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/683186/parameters";
    String people_0_affiliation "California State University Long Beach";
    String people_0_affiliation_acronym "CSULB";
    String people_0_person_name "Bruno Pernet";
    String people_0_person_nid "528893";
    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 "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Ciliated Larvae Feeding";
    String projects_0_acronym "Ciliated Larvae Feeding";
    String projects_0_description 
"Description from NSF award abstract:
Many marine invertebrate larvae must feed to fuel development through metamorphosis to the juvenile stage. These feeding larvae capture suspended food particles in diverse ways. Laboratory evidence suggests that different larval feeding mechanisms may affect performance depending on particle types. For example, larvae of echinoderms feed by ciliary reversal, a mechanism that apparently limits clearance rates on small particles (10 um). Because the concentration of suspended food particles can constrain larval growth in natural waters, and because the size distribution of natural particles varies over space and time, maximum clearance rates imposed by a particular feeding mechanism may restrict larval growth rates and development. As a result, the planktonic period of suspension-feeding larvae would be extended and larval mortality (due to predation, or advection from suitable adult habitat) increased, leading to lower recruitment. In this way, performance constraints associated with particular larval feeding mechanisms could strongly affect population dynamics. Such effects are missing from population-dynamic models of benthic invertebrates, largely because they are not well understood. Toward this end, controlled comparisons are needed of the feeding capabilities of ciliated larvae that differ in feeding mechanism.
The present study will examine the feeding capabilities of larvae that gather food using one of three particle capture mechanisms (ciliary reversal, opposed band, or a \"mixed\" strategy of opposed band feeding and encounter feeding on large particles), and for larvae with distinct body forms (e.g., within opposed band feeding, trochophores vs. veligers). Three main hypotheses will be tested. (1) Larvae that differ in particle capture mechanisms/body form will also differ in either maximum clearance rates, or in the size spectrum of particles cleared at high rates. Laboratory experiments will involve artificial particles, varying only in size. (2) Hypothesized differences in (1) also hold for natural particles. Experiments will test semi-natural prey communities. (3) Larvae with different feeding mechanisms will perform best in specific feeding environments (e.g., those dominated by small particles versus large particles). Larval growth rates will be tested in experimentally manipulated, semi-natural food regimes.
Yielding explicit, planned comparisons of larval performance as a function of feeding mechanism, larval body form, and particle type, this research would improve understanding of the importance of larval feeding mechanism in the population dynamics of marine invertebrates. This study is relevant to many compelling questions in reproductive biology, ecology and evolution, such as: how do seasonal changes in the types of particulate food affect the performance of larvae with particular feeding mechanisms; how might such linkages be related to the evolution of seasonal reproductive patterns in various taxa of marine invertebrates; and how might human-mediated shifts in ocean temperature and chemistry (predicted to alter the size spectrum of potential food particles) affect performance of larvae with particular feeding mechanisms?";
    String projects_0_end_date "2015-09";
    String projects_0_geolocation "coastal northeastern Pacific (California, Washington)";
    String projects_0_name "Feeding by the ciliated larvae of marine invertebrates: effects of diverse particle capture mechanisms on feeding performance";
    String projects_0_project_nid "528891";
    String projects_0_project_website "http://www.csulb.edu/colleges/cnsm/depts/biology/invertebrate_reproduction/";
    String projects_0_start_date "2011-10";
    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 "Egg sizes and macromere allocation for annelids and molluscs used in a comparative analysis of allocation of cytoplasm to macromeres. Many of these data were obtained from the literature, but some were obtained directly by the authors.";
    String title "Egg sizes and macromere allocation for diverse annelids and molluscs";
    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
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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