ERDDAP > tabledap > Data Access Form

Dataset Title:	[Juvenile Black Sea Bass Laboratory Experiment (2022-2023)] - (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_965079_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Collection_Location (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Mumford Cove"	"Mumford Cove"
longitude (Longitutde, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-72.00195	-72.00195
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		41.32361	41.32361
Species (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Centropristis stri..."	"Centropristis stri..."
Collection_Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2022-09-09"	"2022-09-09"
Sample_Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2022-10-12"	"2023-05-16"
Time_Point (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	7
Month (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"April"	"October"
Tank (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"F"
BSB_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A1"	"F9"
Mean_Temp (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.04	17.88
SD_Temp (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.31	1.64
Days (number of days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	216
S_or_M (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"M"	"S"
Days_Alive (number of days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	216
TL_ini (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		41	114
TL_final (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		45	114
wW_ini (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.9	24.7
wW_final (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.2	90.0
estdW_ini (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0269	6.07346
dW_final (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.186	6.83
estdW_final (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0269	22.0589
Days_Between_Measurements (number of days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	204
D_TL (millimeters (mm))	!= =~ <= >= = < >		!= =~ <= >= = < >		-2	27
D_wW (grams (g))	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.6	7.8
SGR_wW (percent per day (% d^-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.9641562	3.367188
GR (millimeters per day (mm/d))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.3793103	0.3928571
Lipid (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		20.64739	1584.34
Prop_Lipid (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.745124	23.19678
Lean (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		125.041	4378.505
Prop_Lean (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		64.10696	73.62409
Ash (milligrams (mg))	!= =~ <= >= = < >		!= =~ <= >= = < >		56.12034	867.1546
Prop_Ash (percent (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		8.323321	54.51282
Kcal (kilocalorie (kcal))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.7953148	35.98884
ED (Kcal per gram dW (Kcal gram dW^-1))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.162034	11.07392
Notes (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Jumped"	"Jumped"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Collection_Location longitude latitude Species Collection_Date Sample_Date Time_Point Month Tank BSB_ID Mean_Temp SD_Temp Days S_or_M Days_Alive TL_ini TL_final wW_ini wW_final estdW_ini dW_final estdW_final Days_Between_Measurements D_TL D_wW SGR_wW GR Lipid Prop_Lipid Lean Prop_Lean Ash Prop_Ash Kcal ED Notes Collection_Location longitude latitude Species Collection_Date Sample_Date Time_Point Month Tank BSB_ID Mean_Temp SD_Temp Days S_or_M Days_Alive TL_ini TL_final wW_ini wW_final estdW_ini dW_final estdW_final Days_Between_Measurements D_TL D_wW SGR_wW GR Lipid Prop_Lipid Lean Prop_Lean Ash Prop_Ash Kcal ED Notes Collection_Location longitude latitude Species Collection_Date Sample_Date Time_Point Month Tank BSB_ID Mean_Temp SD_Temp Days S_or_M Days_Alive TL_ini TL_final wW_ini wW_final estdW_ini dW_final estdW_final Days_Between_Measurements D_TL D_wW SGR_wW GR Lipid Prop_Lipid Lean Prop_Lean Ash Prop_Ash Kcal ED Notes Collection_Location longitude latitude Species Collection_Date Sample_Date Time_Point Month Tank BSB_ID Mean_Temp SD_Temp Days S_or_M Days_Alive TL_ini TL_final wW_ini wW_final estdW_ini dW_final estdW_final Days_Between_Measurements D_TL D_wW SGR_wW GR Lipid Prop_Lipid Lean Prop_Lean Ash Prop_Ash Kcal ED Notes Collection_Location longitude latitude Species Collection_Date Sample_Date Time_Point Month Tank BSB_ID Mean_Temp SD_Temp Days S_or_M Days_Alive TL_ini TL_final wW_ini wW_final estdW_ini dW_final estdW_final Days_Between_Measurements D_TL D_wW SGR_wW GR Lipid Prop_Lipid Lean Prop_Lean Ash Prop_Ash Kcal ED Notes ")

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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Collection_Location {
    String long_name "Collection_location";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -72.00195, -72.00195;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitutde";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.32361, 41.32361;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Collection_Date {
    String long_name "Collection_date";
    String units "unitless";
  }
  Sample_Date {
    String long_name "Sample_date";
    String units "unitless";
  }
  Time_Point {
    Int32 actual_range 0, 7;
    String long_name "Time_point";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Tank {
    String long_name "Tank";
    String units "unitless";
  }
  BSB_ID {
    String long_name "Bsb_id";
    String units "unitless";
  }
  Mean_Temp {
    Float32 actual_range 6.04, 17.88;
    String long_name "Mean_temp";
    String units "degrees Celsius";
  }
  SD_Temp {
    Float32 actual_range 0.31, 1.64;
    String long_name "Sd_temp";
    String units "degrees Celsius";
  }
  Days {
    Int32 actual_range 0, 216;
    String long_name "Days";
    String units "number of days";
  }
  S_or_M {
    String long_name "S_or_m";
    String units "unitless";
  }
  Days_Alive {
    Int32 actual_range 0, 216;
    String long_name "Days_alive";
    String units "number of days";
  }
  TL_ini {
    Int32 actual_range 41, 114;
    String long_name "Tl_ini";
    String units "degrees Celsius";
  }
  TL_final {
    Int32 actual_range 45, 114;
    String long_name "Tl_final";
    String units "millimeters (mm)";
  }
  wW_ini {
    Float32 actual_range 0.9, 24.7;
    String long_name "Ww_ini";
    String units "grams (g)";
  }
  wW_final {
    Float32 actual_range 1.2, 90.0;
    String long_name "Ww_final";
    String units "grams (g)";
  }
  estdW_ini {
    Float32 actual_range 0.0269, 6.07346;
    String long_name "Estdw_ini";
    String units "grams (g)";
  }
  dW_final {
    Float32 actual_range 0.186, 6.83;
    String long_name "Dw_final";
    String units "grams (g)";
  }
  estdW_final {
    Float32 actual_range 0.0269, 22.0589;
    String long_name "Estdw_final";
    String units "grams (g)";
  }
  Days_Between_Measurements {
    Int32 actual_range 0, 204;
    String long_name "Days_between_measurements";
    String units "number of days";
  }
  D_TL {
    Int32 actual_range -2, 27;
    String long_name "D_tl";
    String units "millimeters (mm)";
  }
  D_wW {
    Float32 actual_range -1.6, 7.8;
    String long_name "D_ww";
    String units "grams (g)";
  }
  SGR_wW {
    Float32 actual_range -0.9641562, 3.367188;
    String long_name "Sgr_ww";
    String units "percent per day (% d^-1)";
  }
  GR {
    Float32 actual_range -0.3793103, 0.3928571;
    String long_name "Gr";
    String units "millimeters per day (mm/d)";
  }
  Lipid {
    Float32 actual_range 20.64739, 1584.34;
    String long_name "Lipid";
    String units "milligrams (mg)";
  }
  Prop_Lipid {
    Float32 actual_range 4.745124, 23.19678;
    String long_name "Prop_lipid";
    String units "percent (%)";
  }
  Lean {
    Float32 actual_range 125.041, 4378.505;
    String long_name "Lean";
    String units "milligrams (mg)";
  }
  Prop_Lean {
    Float32 actual_range 64.10696, 73.62409;
    String long_name "Prop_lean";
    String units "percent (%)";
  }
  Ash {
    Float32 actual_range 56.12034, 867.1546;
    String long_name "Ash";
    String units "milligrams (mg)";
  }
  Prop_Ash {
    Float32 actual_range 8.323321, 54.51282;
    String long_name "Prop_ash";
    String units "percent (%)";
  }
  Kcal {
    Float32 actual_range 0.7953148, 35.98884;
    String long_name "Kcal";
    String units "kilocalorie (kcal)";
  }
  ED {
    Float32 actual_range 4.162034, 11.07392;
    String long_name "Ed";
    String units "Kcal per gram dW (Kcal gram dW^-1)";
  }
  Notes {
    String long_name "Notes";
    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.965079.1";
    Float64 Easternmost_Easting -72.00195;
    Float64 geospatial_lat_max 41.32361;
    Float64 geospatial_lat_min 41.32361;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -72.00195;
    Float64 geospatial_lon_min -72.00195;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-29T00:51:42Z (local files)
2025-06-29T00:51:42Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965079_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/965079";
    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.";
    Float64 Northernmost_Northing 41.32361;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.32361;
    String summary "The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles under a current ambient (2022/2023) seasonal temperature profile for eastern Long Island Sound, USA. Over the course of this study, winter mortality was low (< 16%) and average specific growth rate (SGR) followed seasonal trends (Fall → Winter → Spring) decreasing from 0.15 millimeters per day (mm d-1) (0.97 % wW d-1) to 0.01 mm d-1 (-0.03 % wW d-1), before rising to 0.03 mm d-1 (0.11 %wW d-1).";
    String title "[Juvenile Black Sea Bass Laboratory Experiment (2022-2023)] -  (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)";
    Float64 Westernmost_Easting -72.00195;
  }
}

 

---

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 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.
• (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