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BCO-DMO ERDDAP
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| Dataset Title: | [Belt Transect: Size] - Sea star size structure from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale)
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_990975_v1) |
| Range: | longitude = -124.5651 to -117.7994°E, latitude = 33.54477 to 45.02575°N |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
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Attributes {
s {
StarID {
String long_name "Starid";
String units "unitless";
}
TransectDateID {
String long_name "Transectdateid";
String units "unitless";
}
TransectSurveyID {
String long_name "Transectsurveyid";
String units "unitless";
}
SurveyID {
String long_name "Surveyid";
String units "unitless";
}
TransectID {
String long_name "Transectid";
String units "unitless";
}
GroupCode {
String long_name "Groupcode";
String units "unitless";
}
Region {
String long_name "Region";
String units "unitless";
}
Cape {
String long_name "Cape";
String units "unitless";
}
CapeNum {
Int32 actual_range 1, 15;
String long_name "Capenum";
String units "unitless";
}
SiteCode_STARS {
String long_name "Sitecode_stars";
String units "unitless";
}
Site {
String long_name "Site";
String units "unitless";
}
SiteNum {
Int32 actual_range 1, 33;
String long_name "Sitenum";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float32 actual_range 33.54477, 45.02575;
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 -124.5651, -117.7994;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
SiteType {
String long_name "Sitetype";
String units "unitless";
}
Year {
Int32 actual_range 2000, 2024;
String long_name "Year";
String units "unitless";
}
Month {
Int32 actual_range 1, 12;
String long_name "Month";
String units "unitless";
}
Day {
Int32 actual_range 1, 31;
String long_name "Day";
String units "unitless";
}
Date {
String long_name "Date";
String units "unitless";
}
AvgSurveyDate {
String long_name "Avgsurveydate";
String units "unitless";
}
SurveyPeriod {
String long_name "Surveyperiod";
String units "unitless";
}
Season {
String long_name "Season";
String units "unitless";
}
SeasonCode {
String long_name "Seasoncode";
String units "unitless";
}
YearOfSSWS {
Int32 actual_range 2013, 2014;
String long_name "Yearofssws";
String units "unitless";
}
DateofSSWS {
String long_name "Dateofssws";
String units "unitless";
}
YrSinceSSWS {
Int32 actual_range -14, 11;
String long_name "Yrsincessws";
String units "years";
}
DiseasePhase3 {
String long_name "Diseasephase3";
String units "unitless";
}
DiseasePhase4 {
String long_name "Diseasephase4";
String units "unitless";
}
Transect {
String long_name "Transect";
String units "unitless";
}
TransectArea_m2 {
Float32 actual_range 1.25, 1875.0;
String long_name "Transectarea_m2";
String units "meters squared (m2)";
}
SpeciesCode {
String long_name "Speciescode";
String units "unitless";
}
N_Individuals {
Float32 actual_range 0.0, 1244.0;
String long_name "N_individuals";
String units "unitless";
}
SeaStarNum {
Float32 actual_range 1.0, 577.0;
String long_name "Seastarnum";
String units "unitless";
}
Stage_Field {
String long_name "Stage_field";
String units "unitless";
}
LengthMethod {
String long_name "Lengthmethod";
String units "unitless";
}
WeightMethod {
String long_name "Weightmethod";
String units "unitless";
}
MeasuredArmLength_cm {
Float32 actual_range 0.02, 50.0;
String long_name "Measuredarmlength_cm";
String units "centimeters (cm)";
}
MeasuredWetWt_g {
Float32 actual_range 0.006, 1837.5;
String long_name "Measuredwetwt_g";
String units "grams (g)";
}
ArmLength_cm {
Float32 actual_range 0.08, 53.38441;
String long_name "Armlength_cm";
String units "centimeters (cm)";
}
WetWt_g {
Float32 actual_range 6.261663e-4, 11654.69;
String long_name "Wetwt_g";
String units "grams (g)";
}
Stage_Arm {
String long_name "Stage_arm";
String units "unitless";
}
Stage_Wt {
String long_name "Stage_wt";
String units "not described";
}
Stage4_Wt {
String long_name "Stage4_wt";
String units "not described";
}
Diet1 {
String long_name "Diet1";
String units "unitless";
}
Diet2 {
String long_name "Diet2";
String units "unitless";
}
Diet3 {
String long_name "Diet3";
String units "unitless";
}
Diet4 {
String long_name "Diet4";
String units "unitless";
}
Diet5 {
String long_name "Diet5";
String units "unitless";
}
DetailDisease {
String long_name "Detaildisease";
String units "unitless";
}
DiseaseCode {
String long_name "Diseasecode";
String units "unitless";
}
DiseaseSimple {
String long_name "Diseasesimple";
String units "unitless";
}
Surveyors {
String long_name "Surveyors";
String units "unitless";
}
Notes {
String long_name "Notes";
String units "unitless";
}
EnteredBy {
String long_name "Enteredby";
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.990975.1";
Float64 Easternmost_Easting -117.7994;
Float64 geospatial_lat_max 45.02575;
Float64 geospatial_lat_min 33.54477;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -117.7994;
Float64 geospatial_lon_min -124.5651;
String geospatial_lon_units "degrees_east";
String history
"2026-05-24T17:03:50Z (local files)
2026-05-24T17:03:50Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_990975_v1.das";
String infoUrl "https://osprey.bco-dmo.org/dataset/990975";
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 45.02575;
String sourceUrl "(local files)";
Float64 Southernmost_Northing 33.54477;
String summary
"This dataset includes sea star size structure data collected as part of the study described below. See the \"Related Datasets\" section for abundance data.
Mass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used two long-term datasets to assess the resilience of Pisaster populations to this perturbation in Oregon: a 16-year time series (2007-2023) of annual predation rate at 7 sites, and a 23-year time series (2001-2024) of density and size of Pisaster at 8 sites. In spring 2015, a novel and massive Pisaster recruitment event occurred at all sites, averaging 3.00 ± 0.57 recruits m-2 (± SE), an 8,100% increase compared to pre-SSWD. Elevated but spatiotemporally variable recruitment has persisted over the subsequent decade. Before SSWD, population size structure was relatively stable, consisting mostly of large adults with virtually no recruitment. After the outbreak, density, average size, and biomass density declined at nearly all sites, while SSWD persisted at low levels, averaging ~4% symptomatic per year. As of the current period (2021-2024), density and biomass density had recovered at all sites and often overshot prior levels, but average body size recovered at only 3 of 7 sites. However, the 2014 crash and the post-2014 recruitment events apparently destabilized the populations; density remains more variable among years at all but two sites.";
String title "[Belt Transect: Size] - Sea star size structure from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale)";
Float64 Westernmost_Easting -124.5651;
}
}
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selection constraints
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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.