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Dataset Title:	[Heat priming in Nematostella vectensis: Development of larvae past the planula stage] - Data pertaining to the development of larvae past the planula stage 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_923284_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Priming_temperature_C (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		18	39
Group (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
Days_post_fertilization (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		4	11
Planula_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	114
Post_planula_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	94
Total_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	129
Percent_planula (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	100.0
Percent_post_planula (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	100.0

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Priming_temperature_C Group Days_post_fertilization Planula_count Post_planula_count Total_count Percent_planula Percent_post_planula Priming_temperature_C Group Days_post_fertilization Planula_count Post_planula_count Total_count Percent_planula Percent_post_planula Priming_temperature_C Group Days_post_fertilization Planula_count Post_planula_count Total_count Percent_planula Percent_post_planula Priming_temperature_C Group Days_post_fertilization Planula_count Post_planula_count Total_count Percent_planula Percent_post_planula Priming_temperature_C Group Days_post_fertilization Planula_count Post_planula_count Total_count Percent_planula Percent_post_planula ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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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";
  }
  Planula_count {
    Int32 actual_range 0, 114;
    String long_name "Planula_count";
    String units "unitless";
  }
  Post_planula_count {
    Int32 actual_range 0, 94;
    String long_name "Post_planula_count";
    String units "unitless";
  }
  Total_count {
    Int32 actual_range 1, 129;
    String long_name "Total_count";
    String units "unitless";
  }
  Percent_planula {
    Float32 actual_range 0.0, 100.0;
    String long_name "Percent_planula";
    String units "unitless";
  }
  Percent_post_planula {
    Float32 actual_range 0.0, 100.0;
    String long_name "Percent_post_planula";
    String units "unitless";
  }
 }
  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.923284.1";
    String history 
"2024-11-08T05:50:29Z (local files)
2024-11-08T05:50:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923284_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/923284";
    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 development of Nematostella vectensis larvae past the planula stage. 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: Development of larvae past the planula stage] - Data pertaining to the development of larvae past the planula stage 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)";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.
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Tabledap request URLs must be in the form
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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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