Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [Metabarcoding zooplankton at station ALOHA: OTU tables and fasta files] - Metabarcoding zooplankton at station ALOHA: Operational taxonomic unit (OTU) tables and fasta files for representative sequences from each OTU (Plankton Population Genetics project) (Basin-scale genetics of marine zooplankton) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_700279) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Subset
| Files
| Make a graph
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Attributes {
s {
analysis_name {
String bcodmo_name "sample_descrip";
String description "Descriptive name of analysis including percent clustering and subsampling or no subsampling";
String long_name "Analysis Name";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 22.75, 22.75;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude of sample site (Station ALOHA)";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -158.0, -158.0;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude of sample site (Station ALOHA)";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
analysis_description {
String bcodmo_name "sample_descrip";
String description "Analysis description";
String long_name "Analysis Description";
String units "unitless";
}
OTU_ID {
String bcodmo_name "sample";
String description "Operational taxonomic unit (OTU) identifier";
String long_name "OTU ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
FA3_N1_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 7364;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 1 (depth 1500-1000m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N1 SF1";
String units "per OTU";
}
FA3_N1_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4949;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 1 (depth 1500-1000m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N1 SF2";
String units "per OTU";
}
FA3_N1_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 8094;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 1 (depth 1500-1000m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N1 SF3";
String units "per OTU";
}
FA3_N2_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 6604;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 2 (depth 1000-700m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N2 SF1";
String units "per OTU";
}
FA3_N2_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5141;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 2 (depth 1000-700m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N2 SF2";
String units "per OTU";
}
FA3_N2_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 7433;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 2 (depth 1000-700m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N2 SF3";
String units "per OTU";
}
FA3_N3_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 8763;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 3 (depth 700-500m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N3 SF1";
String units "per OTU";
}
FA3_N3_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5019;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 3 (depth 700-500m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N3 SF2";
String units "per OTU";
}
FA3_N3_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 12487;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 3 (depth 700-500m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N3 SF3";
String units "per OTU";
}
FA3_N4_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 9644;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 4 (depth 500-300m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N4 SF1";
String units "per OTU";
}
FA3_N4_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3869;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 4 (depth 500-300m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N4 SF2";
String units "per OTU";
}
FA3_N4_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 6198;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 4 (depth 500-300m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N4 SF3";
String units "per OTU";
}
FA3_N5_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4527;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 5 (depth 300-200m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N5 SF1";
String units "per OTU";
}
FA3_N5_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5328;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 5 (depth 300-200m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N5 SF2";
String units "per OTU";
}
FA3_N5_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4550;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 5 (depth 300-200m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N5 SF3";
String units "per OTU";
}
FA3_N6_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 7969;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 6 (depth 200-150m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N6 SF1";
String units "per OTU";
}
FA3_N6_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4425;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 6 (depth 200-150m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N6 SF2";
String units "per OTU";
}
FA3_N6_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4415;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 6 (depth 200-150m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N6 SF3";
String units "per OTU";
}
FA3_N7_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4878;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 7 (depth 150-100m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N7 SF1";
String units "per OTU";
}
FA3_N7_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 7900;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 7 (depth 150-100m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N7 SF2";
String units "per OTU";
}
FA3_N7_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 9275;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 7 (depth 150-100m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N7 SF3";
String units "per OTU";
}
FA3_N8_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3200;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 8 (depth 100-50m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N8 SF1";
String units "per OTU";
}
FA3_N8_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5023;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 8 (depth 100-50m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N8 SF2";
String units "per OTU";
}
FA3_N8_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4242;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 8 (depth 100-50m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N8 SF3";
String units "per OTU";
}
FA3_N9_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 6807;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 9 (depth 50-0m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA3 N9 SF1";
String units "per OTU";
}
FA3_N9_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5171;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 9 (depth 50-0m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA3 N9 SF2";
String units "per OTU";
}
FA3_N9_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 6503;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the day with net 9 (depth 50-0m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA3 N9 SF3";
String units "per OTU";
}
FA4_N1_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 10244;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 1 (depth 1500-1000m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N1 SF1";
String units "per OTU";
}
FA4_N1_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2920;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 1 (depth 1500-1000m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N1 SF2";
String units "per OTU";
}
FA4_N1_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4335;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 1 (depth 1500-1000m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N1 SF3";
String units "per OTU";
}
FA4_N2_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 12299;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 2 (depth 1000-700m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N2 SF1";
String units "per OTU";
}
FA4_N2_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4615;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 2 (depth 1000-700m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N2 SF2";
String units "per OTU";
}
FA4_N2_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3261;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 2 (depth 1000-700m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N2 SF3";
String units "per OTU";
}
FA4_N3_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 4816;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 3 (depth 700-500m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N3 SF1";
String units "per OTU";
}
FA4_N3_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2771;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 3 (depth 700-500m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N3 SF2";
String units "per OTU";
}
FA4_N3_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 9249;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 3 (depth 700-500m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N3 SF3";
String units "per OTU";
}
FA4_N4_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5454;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 4 (depth 500-300m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N4 SF1";
String units "per OTU";
}
FA4_N4_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5080;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 4 (depth 500-300m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N4 SF2";
String units "per OTU";
}
FA4_N4_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 6324;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 4 (depth 500-300m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N4 SF3";
String units "per OTU";
}
FA4_N5_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2578;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 5 (depth 300-200m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N5 SF1";
String units "per OTU";
}
FA4_N5_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2099;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 5 (depth 300-200m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N5 SF2";
String units "per OTU";
}
FA4_N5_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3131;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 5 (depth 300-200m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N5 SF3";
String units "per OTU";
}
FA4_N6_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5948;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 6 (depth 200-150m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N6 SF1";
String units "per OTU";
}
FA4_N6_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 1808;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 6 (depth 200-150m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N6 SF2";
String units "per OTU";
}
FA4_N6_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2068;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 6 (depth 200-150m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N6 SF3";
String units "per OTU";
}
FA4_N7_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2780;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 7 (depth 150-100m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N7 SF1";
String units "per OTU";
}
FA4_N7_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2858;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 7 (depth 150-100m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N7 SF2";
String units "per OTU";
}
FA4_N7_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2343;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 7 (depth 150-100m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N7 SF3";
String units "per OTU";
}
FA4_N8_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2073;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 8 (depth 100-50m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N8 SF1";
String units "per OTU";
}
FA4_N8_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3114;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 8 (depth 100-50m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N8 SF2";
String units "per OTU";
}
FA4_N8_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2612;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 8 (depth 100-50m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N8 SF3";
String units "per OTU";
}
FA4_N9_SF1 {
Int16 _FillValue 32767;
Int16 actual_range 0, 5854;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 9 (depth 50-0m) for zooplankton size fraction 1 (0.2 - 0.5mm)";
String long_name "FA4 N9 SF1";
String units "per OTU";
}
FA4_N9_SF2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 3559;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 9 (depth 50-0m) for zooplankton size fraction 2 (0.5 - 0.1mm)";
String long_name "FA4 N9 SF2";
String units "per OTU";
}
FA4_N9_SF3 {
Int16 _FillValue 32767;
Int16 actual_range 0, 2406;
String bcodmo_name "count";
String description "Read counts for each OTU within each sample; Sample collected during the night with net 9 (depth 50-0m) for zooplankton size fraction 3 (1.0 - 2.0 mm)";
String long_name "FA4 N9 SF3";
String units "per OTU";
}
silva_tax_level1 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 1 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level1";
String units "unitless";
}
silva_tax_level2 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 2 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level2";
String units "unitless";
}
silva_tax_level3 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 3 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level3";
String units "unitless";
}
silva_tax_level4 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 4 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level4";
String units "unitless";
}
silva_tax_level5 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 5 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level5";
String units "unitless";
}
silva_tax_level6 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 6 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level6";
String units "unitless";
}
silva_tax_level7 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 7 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level7";
String units "unitless";
}
silva_tax_level8 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 8 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level8";
String units "unitless";
}
silva_tax_level9 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 9 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level9";
String units "unitless";
}
silva_tax_level10 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 10 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level10";
String units "unitless";
}
silva_tax_level11 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 11 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level11";
String units "unitless";
}
silva_tax_level12 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 12 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level12";
String units "unitless";
}
silva_tax_level13 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 13 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level13";
String units "unitless";
}
silva_tax_level14 {
String bcodmo_name "taxon";
String description "Taxonomic classification level 14 for each OTU; assigned by mothur based on the Silva database";
String long_name "Silva Tax Level14";
String units "unitless";
}
assigned_habitat {
String bcodmo_name "sample_descrip";
String description "Assigned community/habitat, based on both mothur classification and NCBI top hit";
String long_name "Assigned Habitat";
String units "unitless";
}
NCBI_query_sequence_id {
String bcodmo_name "sequence";
String description "Query sequence (BLAST qseqid); header description of representative sequence from fasta file";
String long_name "NCBI Query Sequence Id";
String units "unitless";
}
NCBI_top_hit {
String bcodmo_name "accession number";
String description "Subject sequence id (BLAST sseqid): sequence identifier for subject sequence from NCBI; Contains two NCBI accession numbers";
String long_name "NCBI Top Hit";
String units "unitless";
}
NCBI_percent_identity {
Float32 _FillValue NaN;
Float32 actual_range 78.25, 100.0;
String bcodmo_name "unknown";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Percent identity (BLAST pident): percentage of identical matches in the alignment";
String long_name "NCBI Percent Identity";
String units "unitless";
}
NCBI_percent_coverage {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 15, 100;
String bcodmo_name "unknown";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Percent coverage (BLAST qcovs): query coverage per sequence for all high-scoring segment pairs (HSPs)";
String long_name "NCBI Percent Coverage";
String units "unitless";
}
NCBI_sequence_length {
Int16 _FillValue 32767;
Int16 actual_range 56, 389;
String bcodmo_name "unknown";
String description "Alignment length (BLAST length)";
String long_name "NCBI Sequence Length";
String units "unitless";
}
NCBI_mismatch {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 61;
String bcodmo_name "unknown";
String description "Number of mismatches (BLAST mismatch)";
String long_name "NCBI Mismatch";
String units "unitless";
}
NCBI_evalue {
Float64 _FillValue NaN;
Float64 actual_range 0.0, 6.0e+180;
String bcodmo_name "unknown";
String description "Expectation value of match (BLAST evalue)";
String long_name "NCBI Evalue";
String units "unitless";
}
NCBI_bitscore {
Float32 _FillValue NaN;
Float32 actual_range 87.9, 710.0;
String bcodmo_name "unknown";
String description "Normalized alignment score for comparison across searches (BLAST bitscore)";
String long_name "NCBI Bitscore";
String units "unitless";
}
NCBI_percent_positive {
Float32 _FillValue NaN;
Float32 actual_range 78.25, 100.0;
String bcodmo_name "unknown";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Percentage of positive-scoring matches (BLAST ppos)";
String long_name "NCBI Percent Positive";
String units "unitless";
}
NCBI_top_hit_taxID {
String bcodmo_name "unknown";
String description "Taxonomic identifiers (BLAST staxids): unique subject taxonomy ID(s); multiple IDs are separated by a semicolon";
String long_name "NCBI Top Hit Tax ID";
String units "unitless";
}
NCBI_top_hit_title {
String bcodmo_name "sample_descrip";
String description "Subject title from NCBI entry (BLAST stitle)";
String long_name "NCBI Top Hit Title";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Sample Codes:
Read count parameter names (e.g. FA3_N7_SF1) include the following three
codes:
MOCNESS tow
FA3: Night sampling
FA4: Day sampling
Depth range:
N1: 1500-1000m
N2: 1000-700m
N3: 700-500m
N4: 500-300m
N5: 300-200m
N6: 200-150m
N7: 150-100m
N8: 100-50m
N9: 50m-0m
Wet-sieved zooplankton size fractions
SF1: 0.2-0.5 mm
SF2: 0.5-1.0 mm
SF3: 1.0-2.0 mm
Data parameters with the prefix (NCBI_) are from the National Center for
Biotechnology Information (NCBI,
[https://www.ncbi.nlm.nih.gov/](\\\\\"https://www.ncbi.nlm.nih.gov/\\\\\"))
Data parameters with the prefix (silva_) are from the Silva database
([https://www.arb-silva.de/](\\\\\"https://www.arb-silva.de/\\\\\")).";
String awards_0_award_nid "473046";
String awards_0_award_number "OCE-1255697";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1255697";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String awards_1_award_nid "537990";
String awards_1_award_number "OCE-1338959";
String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1338959";
String awards_1_funder_name "NSF Division of Ocean Sciences";
String awards_1_funding_acronym "NSF OCE";
String awards_1_funding_source_nid "355";
String awards_1_program_manager "David L. Garrison";
String awards_1_program_manager_nid "50534";
String awards_2_award_nid "539716";
String awards_2_award_number "OCE-1029478";
String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1029478";
String awards_2_funder_name "NSF Division of Ocean Sciences";
String awards_2_funding_acronym "NSF OCE";
String awards_2_funding_source_nid "355";
String awards_2_program_manager "David L. Garrison";
String awards_2_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"ALOHA Zooplankton metabarcoding: OTU
PI: Erica Goetze
data version: 07 Jun 2017";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2017-05-18T17:30:39Z";
String date_modified "2020-02-21T18:52:47Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.704664";
Float64 Easternmost_Easting -158.0;
Float64 geospatial_lat_max 22.75;
Float64 geospatial_lat_min 22.75;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -158.0;
Float64 geospatial_lon_min -158.0;
String geospatial_lon_units "degrees_east";
String history
"2024-12-21T15:48:57Z (local files)
2024-12-21T15:48:57Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_700279.html";
String infoUrl "https://www.bco-dmo.org/dataset/700279";
String institution "BCO-DMO";
String instruments_0_acronym "Automated Sequencer";
String instruments_0_dataset_instrument_description "Illumina MiSeq using V3 chemistry (300-bp, paired-end)";
String instruments_0_dataset_instrument_nid "700787";
String instruments_0_description "General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step.";
String instruments_0_instrument_name "Automated DNA Sequencer";
String instruments_0_instrument_nid "649";
String instruments_0_supplied_name "Illumina MiSeq";
String instruments_1_acronym "Thermal Cycler";
String instruments_1_dataset_instrument_nid "700789";
String instruments_1_description
"General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps.
(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)";
String instruments_1_instrument_name "PCR Thermal Cycler";
String instruments_1_instrument_nid "471582";
String instruments_1_supplied_name "quantitative PCR by the Evolutionary Genetics Core Facility (Hawaii Institute of Marine Biology)";
String instruments_2_acronym "Bioanalyzer";
String instruments_2_dataset_instrument_nid "700788";
String instruments_2_description "A Bioanalyzer is a laboratory instrument that provides the sizing and quantification of DNA, RNA, and proteins. One example is the Agilent Bioanalyzer 2100.";
String instruments_2_instrument_name "Bioanalyzer";
String instruments_2_instrument_nid "626182";
String instruments_2_supplied_name "Agilent 2100 Bioanalyzer";
String keywords "analysis, analysis_description, analysis_name, assigned, assigned_habitat, bco, bco-dmo, biological, bitscore, chemical, coverage, data, dataset, description, dmo, erddap, evalue, fa3, FA3_N1_SF1, FA3_N1_SF2, FA3_N1_SF3, FA3_N2_SF1, FA3_N2_SF2, FA3_N2_SF3, FA3_N3_SF1, FA3_N3_SF2, FA3_N3_SF3, FA3_N4_SF1, FA3_N4_SF2, FA3_N4_SF3, FA3_N5_SF1, FA3_N5_SF2, FA3_N5_SF3, FA3_N6_SF1, FA3_N6_SF2, FA3_N6_SF3, FA3_N7_SF1, FA3_N7_SF2, FA3_N7_SF3, FA3_N8_SF1, FA3_N8_SF2, FA3_N8_SF3, FA3_N9_SF1, FA3_N9_SF2, FA3_N9_SF3, fa4, FA4_N1_SF1, FA4_N1_SF2, FA4_N1_SF3, FA4_N2_SF1, FA4_N2_SF2, FA4_N2_SF3, FA4_N3_SF1, FA4_N3_SF2, FA4_N3_SF3, FA4_N4_SF1, FA4_N4_SF2, FA4_N4_SF3, FA4_N5_SF1, FA4_N5_SF2, FA4_N5_SF3, FA4_N6_SF1, FA4_N6_SF2, FA4_N6_SF3, FA4_N7_SF1, FA4_N7_SF2, FA4_N7_SF3, FA4_N8_SF1, FA4_N8_SF2, FA4_N8_SF3, FA4_N9_SF1, FA4_N9_SF2, FA4_N9_SF3, habitat, hit, identity, latitude, length, level1, level10, level11, level12, level13, level14, level2, level3, level4, level5, level6, level7, level8, level9, longitude, management, mismatch, name, ncbi, NCBI_bitscore, NCBI_evalue, NCBI_mismatch, NCBI_percent_coverage, NCBI_percent_identity, NCBI_percent_positive, NCBI_query_sequence_id, NCBI_sequence_length, NCBI_top_hit, NCBI_top_hit_taxID, NCBI_top_hit_title, oceanography, office, otu, OTU_ID, percent, positive, preliminary, query, sequence, sf1, sf2, sf3, silva, silva_tax_level1, silva_tax_level10, silva_tax_level11, silva_tax_level12, silva_tax_level13, silva_tax_level14, silva_tax_level2, silva_tax_level3, silva_tax_level4, silva_tax_level5, silva_tax_level6, silva_tax_level7, silva_tax_level8, silva_tax_level9, tax, title, top";
String license "https://www.bco-dmo.org/dataset/700279/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/700279";
Float64 Northernmost_Northing 22.75;
String param_mapping "{'700279': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/700279/parameters";
String people_0_affiliation "University of Hawaii";
String people_0_person_name "Erica Goetze";
String people_0_person_nid "473048";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of Hawaii";
String people_1_person_name "Erica Goetze";
String people_1_person_nid "473048";
String people_1_role "Contact";
String people_1_role_type "related";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Amber York";
String people_2_person_nid "643627";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "Plankton Population Genetics";
String projects_0_acronym "Plankton Population Genetics";
String projects_0_description
"Description from NSF award abstract:
Marine zooplankton show strong ecological responses to climate change, but little is known about their capacity for evolutionary response. Many authors have assumed that the evolutionary potential of zooplankton is limited. However, recent studies provide circumstantial evidence for the idea that selection is a dominant evolutionary force acting on these species, and that genetic isolation can be achieved at regional spatial scales in pelagic habitats. This RAPID project will take advantage of a unique opportunity for basin-scale transect sampling through participation in the Atlantic Meridional Transect (AMT) cruise in 2014. The cruise will traverse more than 90 degrees of latitude in the Atlantic Ocean and include boreal-temperate, subtropical and tropical waters. Zooplankton samples will be collected along the transect, and mitochondrial and microsatellite markers will be used to identify the geographic location of strong genetic breaks within three copepod species. Bayesian and coalescent analytical techniques will test if these regions act as dispersal barriers. The physiological condition of animals collected in distinct ocean habitats will be assessed by measurements of egg production (at sea) as well as body size (condition index), dry weight, and carbon and nitrogen content. The PI will test the prediction that ocean regions that serve as dispersal barriers for marine holoplankton are areas of poor-quality habitat for the target species, and that this is a dominant mechanism driving population genetic structure in oceanic zooplankton.
Note: This project is funded by an NSF RAPID award. This RAPID grant supported the shiptime costs, and all the sampling reported in the AMT24 zooplankton ecology cruise report (PDF).
Online science outreach blog at: https://atlanticplankton.wordpress.com";
String projects_0_end_date "2015-11";
String projects_0_geolocation "Atlantic Ocean, 46 N - 46 S";
String projects_0_name "Basin-scale genetics of marine zooplankton";
String projects_0_project_nid "537991";
String projects_0_start_date "2013-12";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 22.75;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "latitude,longitude,silva_tax_level1,silva_tax_level2,silva_tax_level3,silva_tax_level4,silva_tax_level5";
String summary "Metabarcoding data for the zooplankton community in the epipelagic, mesopelagic and upper bathypelagic zones (0-1500m) of the North Pacific Subtropical Gyre. The goal of this study was to assess the hidden diversity present in zooplankton assemblages in midwaters, and detect vertical gradients in species richness, depth distributions, and community composition of the full zooplankton assemblage. Samples were collected in June 2014 from Station ALOHA (22.75, -158) using a 1-meter square Multiple Opening and Closing Nets and Environmental Sampling System (MOCNESS, 200um mesh), on R/V Falkor cruise FK140613. Next generation sequence data (Illumina MiSeq, V3 chemistry, 300-bp paired-end) of the zooplankton assemblage derive from amplicons of the V1-V2 region of 18S rRNA (primers described in Fonseca et al. 2010). The data includes sequences and read count abundance information for molecular OTUs from both holoplanktonic and meroplanktonic taxa. All results derive from analyses in mothur v1.36.1 (Schloss et al. 2009, Kozich et al. 2013).";
String title "[Metabarcoding zooplankton at station ALOHA: OTU tables and fasta files] - Metabarcoding zooplankton at station ALOHA: Operational taxonomic unit (OTU) tables and fasta files for representative sequences from each OTU (Plankton Population Genetics project) (Basin-scale genetics of marine zooplankton)";
String version "1";
Float64 Westernmost_Easting -158.0;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
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.
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.