BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Heat priming in Nematostella vectensis: Sizes of larvae] - Sizes of larvae from 4-11 days post-fertilization from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_923616_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

Y Axis Minimum:

Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Priming_temperature_C {
    Int32 actual_range 18, 39;
    String long_name "Priming_temperature_c";
    String units "degrees Celsius";
  }
  Group {
    Int32 actual_range 1, 3;
    String long_name "Group";
    String units "unitless";
  }
  Days_post_fertilization {
    Int32 actual_range 4, 11;
    String long_name "Days_post_fertilization";
    String units "unitless";
  }
  Body_column_length_cm {
    Float32 actual_range 0.015, 0.074;
    String long_name "Body_column_length_cm";
    String units "centimeters (cm)";
  }
  Body_column_width_cm {
    Float32 actual_range 0.01, 0.031;
    String long_name "Body_column_width_cm";
    String units "centimeters (cm)";
  }
  Aspect_ratio {
    Float32 actual_range 1.0, 4.625;
    String long_name "Aspect_ratio";
    String units "unitless";
  }
  Volume_mm3 {
    Float32 actual_range 0.001649336, 0.0345104;
    String long_name "Volume_mm3";
    String units "cubic millimeters (mm^3)";
  }
  Surface_area_mm2 {
    Float32 actual_range 0.08168141, 0.637115;
    String long_name "Surface_area_mm2";
    String units "square millimeters (mm^2)";
  }
  Surface_area_to_volume_ratio {
    Float32 actual_range 18.33333, 49.52381;
    String long_name "Surface_area_to_volume_ratio";
    String units "millimeters (mm^3/mm^2)";
  }
  Body_column_length_mm {
    Float32 actual_range 0.15, 0.74;
    String long_name "Body_column_length_mm";
    String units "millimeters (mm)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.923616.1";
    String history 
"2024-11-15T22:19:39Z (local files)
2024-11-15T22:19:39Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_923616_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/923616";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary 
"Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.

This dataset includes data pertaining to the sizes of larvae from 4-11 DPF. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).";
    String title "[Heat priming in Nematostella vectensis: Sizes of larvae] - Sizes of larvae from 4-11 days post-fertilization from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact