ERDDAP > tabledap > Data Access Form

Dataset Title:	[Noble gas isotope data from Oregon and Arizona groundwater] - Noble gas isotope data from field campaigns sampling groundwater in Umatilla, Oregon during September 2020 and in Tucson, Arizona during November 2021 (Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_897484_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
State_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"453012119484801"	"460243118225401"
Location (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Tucson"	"Umatilla"
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"02.00N/32.00E-34CC..."	"Williams"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		32.14	46.05
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-119.81	-110.73
Elevation_m (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		139	882
Elevation_ft (feet (ft))	!= =~ <= >= = < >		!= =~ <= >= = < >		455	2894
Pressure_atm (atmosphere (atm))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.9	0.983
Mid_screen_depth_ft (feet (ft))	!= =~ <= >= = < >		!= =~ <= >= = < >		118	1411
Screen_length_ft (feet (ft))	!= =~ <= >= = < >		!= =~ <= >= = < >		20	774
Depth_to_water_ft (feet (ft))	!= =~ <= >= = < >		!= =~ <= >= = < >		-171	443
Sampling_date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2020-09-15"	"2021-11-12"
NG_method (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CT"	"LVE"
He (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.34E-8	1.88E-6
He_err (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.59E-10	4.7E-9
Ne (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.09E-7	7.14E-7
Ne_err (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.21E-10	2.0E-8
Ar (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.01E-4	5.71E-4
Ar_err (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.96E-7	3.07E-6
Kr (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		6.47E-8	1.03E-7
Kr_err (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.19E-10	4.79E-10
Xe (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		8.71E-9	1.44E-8
Xe_err (cubic centimeters per gram (cc/g))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.47E-11	6.04E-11
dXe (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.032	0.172
dKr (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.073	0.18
d40_36_Ar (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.735	2.58
d40_36_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002	0.029
d38_36_Ar (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.379	0.709
d38_36_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002	0.014
d86_82_Kr (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.32	0.749
d86_82_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002	0.032
d86_83_Kr (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.183	0.536
d86_83_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.031
d86_84_Kr (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.129	0.362
d86_84_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.02
d136_129_Xe (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.266	1.128
d136_129_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01	0.122
d134_129_Xe (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.138	0.807
d134_129_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001	0.118
d132_129_Xe (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.058	0.532
d132_129_err (per mil (‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.009	0.075
WTD (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		3.8	38.3
WTD_err (meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2	1.8

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" State_ID Location Site latitude longitude Elevation_m Elevation_ft Pressure_atm Mid_screen_depth_ft Screen_length_ft Depth_to_water_ft Sampling_date NG_method He He_err Ne Ne_err Ar Ar_err Kr Kr_err Xe Xe_err dXe dKr d40_36_Ar d40_36_err d38_36_Ar d38_36_err d86_82_Kr d86_82_err d86_83_Kr d86_83_err d86_84_Kr d86_84_err d136_129_Xe d136_129_err d134_129_Xe d134_129_err d132_129_Xe d132_129_err WTD WTD_err State_ID Location Site latitude longitude Elevation_m Elevation_ft Pressure_atm Mid_screen_depth_ft Screen_length_ft Depth_to_water_ft Sampling_date NG_method He He_err Ne Ne_err Ar Ar_err Kr Kr_err Xe Xe_err dXe dKr d40_36_Ar d40_36_err d38_36_Ar d38_36_err d86_82_Kr d86_82_err d86_83_Kr d86_83_err d86_84_Kr d86_84_err d136_129_Xe d136_129_err d134_129_Xe d134_129_err d132_129_Xe d132_129_err WTD WTD_err State_ID Location Site latitude longitude Elevation_m Elevation_ft Pressure_atm Mid_screen_depth_ft Screen_length_ft Depth_to_water_ft Sampling_date NG_method He He_err Ne Ne_err Ar Ar_err Kr Kr_err Xe Xe_err dXe dKr d40_36_Ar d40_36_err d38_36_Ar d38_36_err d86_82_Kr d86_82_err d86_83_Kr d86_83_err d86_84_Kr d86_84_err d136_129_Xe d136_129_err d134_129_Xe d134_129_err d132_129_Xe d132_129_err WTD WTD_err State_ID Location Site latitude longitude Elevation_m Elevation_ft Pressure_atm Mid_screen_depth_ft Screen_length_ft Depth_to_water_ft Sampling_date NG_method He He_err Ne Ne_err Ar Ar_err Kr Kr_err Xe Xe_err dXe dKr d40_36_Ar d40_36_err d38_36_Ar d38_36_err d86_82_Kr d86_82_err d86_83_Kr d86_83_err d86_84_Kr d86_84_err d136_129_Xe d136_129_err d134_129_Xe d134_129_err d132_129_Xe d132_129_err WTD WTD_err State_ID Location Site latitude longitude Elevation_m Elevation_ft Pressure_atm Mid_screen_depth_ft Screen_length_ft Depth_to_water_ft Sampling_date NG_method He He_err Ne Ne_err Ar Ar_err Kr Kr_err Xe Xe_err dXe dKr d40_36_Ar d40_36_err d38_36_Ar d38_36_err d86_82_Kr d86_82_err d86_83_Kr d86_83_err d86_84_Kr d86_84_err d136_129_Xe d136_129_err d134_129_Xe d134_129_err d132_129_Xe d132_129_err WTD WTD_err ")

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 {
  State_ID {
    String long_name "State_id";
    String units "unitless";
  }
  Location {
    String long_name "Location";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 32.14, 46.05;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -119.81, -110.73;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Elevation_m {
    Int32 actual_range 139, 882;
    String long_name "Elevation_m";
    String units "meters (m)";
  }
  Elevation_ft {
    Int32 actual_range 455, 2894;
    String long_name "Elevation_ft";
    String units "feet (ft)";
  }
  Pressure_atm {
    Float32 actual_range 0.9, 0.983;
    String long_name "Pressure_atm";
    String units "atmosphere (atm)";
  }
  Mid_screen_depth_ft {
    Int32 actual_range 118, 1411;
    String long_name "Mid_screen_depth_ft";
    String units "feet (ft)";
  }
  Screen_length_ft {
    Int32 actual_range 20, 774;
    String long_name "Screen_length_ft";
    String units "feet (ft)";
  }
  Depth_to_water_ft {
    Int32 actual_range -171, 443;
    String long_name "Depth_to_water_ft";
    String units "feet (ft)";
  }
  Sampling_date {
    String long_name "Sampling_date";
    String units "unitless";
  }
  NG_method {
    String long_name "Ng_method";
    String units "unitless";
  }
  He {
    Float32 actual_range 6.34e-8, 1.88e-6;
    String long_name "He";
    String units "cubic centimeters per gram (cc/g)";
  }
  He_err {
    Float32 actual_range 1.59e-10, 4.7e-9;
    String long_name "He_err";
    String units "cubic centimeters per gram (cc/g)";
  }
  Ne {
    Float32 actual_range 2.09e-7, 7.14e-7;
    String long_name "Ne";
    String units "cubic centimeters per gram (cc/g)";
  }
  Ne_err {
    Float32 actual_range 5.21e-10, 2.0e-8;
    String long_name "Ne_err";
    String units "cubic centimeters per gram (cc/g)";
  }
  Ar {
    Float32 actual_range 3.01e-4, 5.71e-4;
    String long_name "Ar";
    String units "cubic centimeters per gram (cc/g)";
  }
  Ar_err {
    Float32 actual_range 6.96e-7, 3.07e-6;
    String long_name "Ar_err";
    String units "cubic centimeters per gram (cc/g)";
  }
  Kr {
    Float32 actual_range 6.47e-8, 1.03e-7;
    String long_name "Kr";
    String units "cubic centimeters per gram (cc/g)";
  }
  Kr_err {
    Float32 actual_range 2.19e-10, 4.79e-10;
    String long_name "Kr_err";
    String units "cubic centimeters per gram (cc/g)";
  }
  Xe {
    Float32 actual_range 8.71e-9, 1.44e-8;
    String long_name "Xe";
    String units "cubic centimeters per gram (cc/g)";
  }
  Xe_err {
    Float32 actual_range 2.47e-11, 6.04e-11;
    String long_name "Xe_err";
    String units "cubic centimeters per gram (cc/g)";
  }
  dXe {
    Float32 actual_range 0.032, 0.172;
    String long_name "Dxe";
    String units "per mil (‰)";
  }
  dKr {
    Float32 actual_range 0.073, 0.18;
    String long_name "Dkr";
    String units "per mil (‰)";
  }
  d40_36_Ar {
    Float32 actual_range 0.735, 2.58;
    String long_name "D40_36_ar";
    String units "per mil (‰)";
  }
  d40_36_err {
    Float32 actual_range 0.002, 0.029;
    String long_name "D40_36_err";
    String units "per mil (‰)";
  }
  d38_36_Ar {
    Float32 actual_range 0.379, 0.709;
    String long_name "D38_36_ar";
    String units "per mil (‰)";
  }
  d38_36_err {
    Float32 actual_range 0.002, 0.014;
    String long_name "D38_36_err";
    String units "per mil (‰)";
  }
  d86_82_Kr {
    Float32 actual_range 0.32, 0.749;
    String long_name "D86_82_kr";
    String units "per mil (‰)";
  }
  d86_82_err {
    Float32 actual_range 0.002, 0.032;
    String long_name "D86_82_err";
    String units "per mil (‰)";
  }
  d86_83_Kr {
    Float32 actual_range 0.183, 0.536;
    String long_name "D86_83_kr";
    String units "per mil (‰)";
  }
  d86_83_err {
    Float32 actual_range 0.0, 0.031;
    String long_name "D86_83_err";
    String units "per mil (‰)";
  }
  d86_84_Kr {
    Float32 actual_range 0.129, 0.362;
    String long_name "D86_84_kr";
    String units "per mil (‰)";
  }
  d86_84_err {
    Float32 actual_range 0.0, 0.02;
    String long_name "D86_84_err";
    String units "per mil (‰)";
  }
  d136_129_Xe {
    Float32 actual_range 0.266, 1.128;
    String long_name "D136_129_xe";
    String units "per mil (‰)";
  }
  d136_129_err {
    Float32 actual_range 0.01, 0.122;
    String long_name "D136_129_err";
    String units "per mil (‰)";
  }
  d134_129_Xe {
    Float32 actual_range 0.138, 0.807;
    String long_name "D134_129_xe";
    String units "per mil (‰)";
  }
  d134_129_err {
    Float32 actual_range 0.001, 0.118;
    String long_name "D134_129_err";
    String units "per mil (‰)";
  }
  d132_129_Xe {
    Float32 actual_range 0.058, 0.532;
    String long_name "D132_129_xe";
    String units "per mil (‰)";
  }
  d132_129_err {
    Float32 actual_range 0.009, 0.075;
    String long_name "D132_129_err";
    String units "per mil (‰)";
  }
  WTD {
    Float32 actual_range 3.8, 38.3;
    String long_name "Wtd";
    String units "meters (m)";
  }
  WTD_err {
    Float32 actual_range 0.2, 1.8;
    String long_name "Wtd_err";
    String units "meters (m)";
  }
 }
  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.897484.1";
    Float64 Easternmost_Easting -110.73;
    Float64 geospatial_lat_max 46.05;
    Float64 geospatial_lat_min 32.14;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -110.73;
    Float64 geospatial_lon_min -119.81;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-21T16:01:34Z (local files)
2024-12-21T16:01:34Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897484_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/897484";
    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 46.05;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 32.14;
    String summary "This project developed a novel seawater and groundwater noble gas isotope extraction technique, building on an approach pioneered by Dr. Steve Emerson that involves equilibration of headspace and water followed by vacuum removal and disposal of almost all the water. Corrections are then made for the lost noble gas in the water, using precisely measured mass and volume. The method uses 6-liter stainless steel flasks with Nupro valves for improved leak-tightness. This extraction technique made it possible to measure neon as well as the heavier noble-gas isotopes, all from the same sample, providing a constraint on \"excess air\" using the neon. Field campaigns sampling groundwater were conducted in Oregon and Arizona. Data from these campaigns are deposited here.";
    String title "[Noble gas isotope data from Oregon and Arizona groundwater] - Noble gas isotope data from field campaigns sampling groundwater in Umatilla, Oregon during September 2020 and in Tucson, Arizona during November 2021 (Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater)";
    Float64 Westernmost_Easting -119.81;
  }
}

 

---

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