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Dataset Title:	[Ecological monitoring Natividad 2006-2021: Invertebrates] - Ecological monitoring of marine invertebrates on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_907353_v1)
Range:	longitude = -115.1919 to -115.0486°E, time = 2006-08-14T16:45:00Z to 2021-09-24T20:35:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  DAY MONTH YEAR LAT longitude time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY TRANSECT ABUNDANCE Y Axis:  DAY MONTH YEAR LAT longitude time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY TRANSECT ABUNDANCE Color:  DAY MONTH YEAR LAT longitude time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY TRANSECT ABUNDANCE   Constraints Optional Constraint #1 Optional Constraint #2 ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE     != =~ <= >= = < >     != =~ <= >= = < > ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE     != =~ <= >= = < >     != =~ <= >= = < > ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE     != =~ <= >= = < >     != =~ <= >= = < > ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE     != =~ <= >= = < >     != =~ <= >= = < > ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE ID DAY MONTH YEAR STATE COMMUNITY SITE LAT longitude HABITAT ZONE PROTECTION MPA DIVER START_TIME FINAL_TIME time START_DEPTH FINAL_DEPTH TEMPERATURE VISIBILITY CURRENT TRANSECT GENUS SPECIES ABUNDANCE ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Time range:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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:

• 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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ID {
    String long_name "Id";
    String units "unitless";
  }
  DAY {
    Int32 actual_range 1, 31;
    String long_name "Day";
    String units "unitless";
  }
  MONTH {
    Int32 actual_range 6, 9;
    String long_name "Month";
    String units "unitless";
  }
  YEAR {
    Int32 actual_range 2006, 2021;
    String long_name "Year";
    String units "unitless";
  }
  STATE {
    String long_name "State";
    String units "unitless";
  }
  COMMUNITY {
    String long_name "Community";
    String units "unitless";
  }
  SITE {
    String long_name "Site";
    String units "unitless";
  }
  LAT {
    Float32 actual_range 27.50504, 27.88881;
    String long_name "Lat";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -115.1919, -115.0486;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  HABITAT {
    String long_name "Habitat";
    String units "unitless";
  }
  ZONE {
    String long_name "Zone";
    String units "unitless";
  }
  PROTECTION {
    String long_name "Protection";
    String units "unitless";
  }
  MPA {
    String long_name "Mpa";
    String units "unitless";
  }
  DIVER {
    String long_name "Diver";
    String units "unitless";
  }
  START_TIME {
    String long_name "Start_time";
    String units "unitless";
  }
  FINAL_TIME {
    String long_name "Final_time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1555739e+9, 1.6325157e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc_start";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  START_DEPTH {
    Float32 actual_range 3.0, 25.0;
    String long_name "Start_depth";
    String units "m";
  }
  FINAL_DEPTH {
    Float32 actual_range 3.0, 25.0;
    String long_name "Final_depth";
    String units "m";
  }
  TEMPERATURE {
    Float32 actual_range 10.0, 25.0;
    String long_name "Temperature";
    String units "degrees Celcius";
  }
  VISIBILITY {
    Float32 actual_range 2.0, 18.0;
    String long_name "Visibility";
    String units "meters (m)";
  }
  CURRENT {
    String long_name "Current";
    String units "unitless";
  }
  TRANSECT {
    Int32 actual_range 1, 30;
    String long_name "Transect";
    String units "meters (m)";
  }
  GENUS {
    String long_name "Genus";
    String units "unitless";
  }
  SPECIES {
    String long_name "Species";
    String units "unitless";
  }
  ABUNDANCE {
    Float32 actual_range 0.0, 750.0;
    String long_name "Abundance";
    String units "per individual";
  }
 }
  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.907353.1";
    Float64 Easternmost_Easting -115.0486;
    Float64 geospatial_lon_max -115.0486;
    Float64 geospatial_lon_min -115.1919;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T05:43:30Z (local files)
2024-11-08T05:43:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_907353_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/907353";
    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 
"This dataset encompasses information about marine invertebrates transects between 2006 to 2021 in Isla Natividad. Abundances of invertebrates can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of each invertebrate counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.";
    String time_coverage_end "2021-09-24T20:35:00Z";
    String time_coverage_start "2006-08-14T16:45:00Z";
    String title "[Ecological monitoring Natividad 2006-2021: Invertebrates] - Ecological monitoring of marine invertebrates on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)";
    Float64 Westernmost_Easting -115.1919;
  }
}

 

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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.

 

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