BCO-DMO ERDDAP
Accessing BCO-DMO data
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Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.955739.1
attribute NC_GLOBAL infoUrl String https://osprey.bco-dmo.org/dataset/955739 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended\nfor legal use, since it may contain inaccuracies. Neither the data\nContributor, ERD, NOAA, nor the United States Government, nor any\nof their employees or contractors, makes any warranty, express or\nimplied, including warranties of merchantability and fitness for a\nparticular purpose, or assumes any legal liability for the accuracy,\ncompleteness, or usefulness, of this information.
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL summary String These data include estimates of upper thermal limits for two common coastal copepods collected from Long Island Sound between July 2017 and November 2019. Individual survival measurements were made for both field and laboratory acclimated individuals exposed to temperatures ranging from 10°C to 39°C. These data highlight how acclimation and rapid adaptation may influence responses of populations to rapid climate change. Data were collected by Dr. Matthew Sasaki at the University of Connecticut.
attribute NC_GLOBAL title String [Acarta tonsa and A. hudsonica seasonal thermal limits (LD50)] - Upper thermal limits (LD50) for two common coastal copepods during thermal experiments with individuals collected from Long Island Sound between July 2017 and November 2019 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments)
variable species String
attribute species long_name String Species
attribute species units String unitless
variable acclimation String
attribute acclimation long_name String Acclimation
attribute acclimation units String unitless
variable collection_id String
attribute collection_id long_name String Collection_id
attribute collection_id units String unitless
variable collection_date String
attribute collection_date long_name String Collection_date
attribute collection_date units String unitless
variable collection_month int
attribute collection_month actual_range int 3, 11
attribute collection_month long_name String Collection_month
attribute collection_month units String unitless
variable collection_year int
attribute collection_year actual_range int 2017, 2019
attribute collection_year long_name String Collection_year
attribute collection_year units String unitless
variable collection_temp float
attribute collection_temp actual_range float 7.0, 26.0
attribute collection_temp long_name String Collection_temp
attribute collection_temp units String degrees Celsius
variable acclimation_temp float
attribute acclimation_temp actual_range float 7.0, 26.0
attribute acclimation_temp long_name String Acclimation_temp
attribute acclimation_temp units String degrees Celsius
variable LD50 float
attribute LD50 actual_range float 23.24642, 32.24342
attribute LD50 long_name String Ld50
attribute LD50 units String degrees Celsius
variable SE float
attribute SE actual_range float 0.1648062, 0.8885978
attribute SE long_name String Se
attribute SE units String degrees Celsius

 
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