BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Laboratory study of long-term growth in juvenile Menidia menidia (Atlantic
silverside) at contrasting CO2 levels for 16 to 122 days in 2015
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_651461)
Range: longitude = -72.01484 to -72.01484°E, latitude = 41.32134 to 41.32134°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  species {
    String bcodmo_name "species";
    String description "Menidia menidia; the Atlantic silverside";
    String long_name "Species";
    String units "unitless";
  }
  adult_collection_site {
    String bcodmo_name "site";
    String description "site of the collection of wild adult spawners on 1 May 2015";
    String long_name "Adult Collection Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.32133889, 41.32133889;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude of the adult collection site";
    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 -72.01483611, -72.01483611;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude of the adult collections site";
    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";
  }
  date_fertilization {
    String bcodmo_name "date";
    String description "date offspring were fertilized by strip-spawning; over twenty adults of each sex; format mm-dd-YYYY";
    String long_name "Date Fertilization";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date_fertilization";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  age {
    Byte _FillValue 127;
    Byte actual_range 16, 122;
    String bcodmo_name "age";
    String description "age in days post hatch (dph) on the date of sampling";
    String long_name "Age";
    String units "days";
  }
  date_sample {
    String bcodmo_name "date";
    String description "date offspring were sampled for length and weight measurements; format mm-dd-YYYY";
    String long_name "Date Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  temp {
    Byte _FillValue 127;
    Byte actual_range 17, 17;
    String bcodmo_name "temperature";
    String description "seventeen degrees celcius; all fish experienced the same temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees celsius";
  }
  pH_treatment {
    Float32 _FillValue NaN;
    Float32 actual_range 7.45, 8.05;
    String bcodmo_name "pH";
    String description "average pH levels experienced by the fish; 7.45 or 8.05";
    String long_name "P H Treatment";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/";
    String units "dimensionless";
  }
  CO2_treatment {
    Int16 _FillValue 32767;
    Int16 actual_range 500, 2150;
    String bcodmo_name "pCO2";
    String description "calculated pCO2 levels; calculated by CO2SYS; based on alkalinity pH and temperature";
    String long_name "CO2 Treatment";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "microatomosphere";
  }
  length_total {
    Float32 _FillValue NaN;
    Float32 actual_range 6.15, 59.4;
    String bcodmo_name "fish_len";
    String description "total length of the fish at sampling";
    String long_name "Length Total";
    String units "millimeter";
  }
  wet_weight {
    Int16 _FillValue 32767;
    Int16 actual_range 30, 750;
    String bcodmo_name "weight";
    String description "wet weight of the fish at sampling";
    String long_name "Wet Weight";
    String units "milligram";
  }
  condition_factor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3317, 0.9544;
    String bcodmo_name "unknown";
    String description "condition factor calculated as wetWeight/totalLength to the 2.734608 power";
    String long_name "Condition Factor";
    String units "dimensionless";
  }
  tank {
    String bcodmo_name "tank";
    String description "tank number; A B C D";
    String long_name "Tank";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Field sampling and experimental design: Experiments were performed at
University of Connecticut\\u2019s Avery Point Campus in the Rankin Laboratory,
a seawater facility adjacent to eastern Long Island Sound. Ripe adult M.
menidia were collected on 1 May 2015 from Mumford Cove (41\\u00a019.25\\u2019 N,
72\\u00a01.09\\u2019W), a shallow embayment dominated by eelgrasses (Zostera
marina) and open to the Long Island Sound. Adults were sampled with a 30 m
\\u00d7 2 m beach seine, separated by sex, transported live to our laboratory,
and held for 48 hours in large aerated tanks (17 degrees celcius, ambient CO2,
no food). On the day of fertilization (3 May 2015), greater than or equal
to\\u00a020 ripe individuals from each sex were strip-spawned and eggs evenly
distributed onto window screens (1 mm fiberglass mesh) submerged in plastic
dishes with clear seawater. Strip-spawned adults were measured for standard
length (mean SL, lower 0.5 cm; females 9.7, males 8.7). Fertilized embryos
quickly attach to the screens via chorionic filaments, which facilitates
precise enumeration and even allotment to treatments and replicates. Following
established protocols for rearing M. menidia offspring (Murray et al., 2014),
replicate containers (20 l) were filled with filtered (to 1 um) and UV
sterilized seawater (31 psu) from Long Island Sound and placed in water baths
(~300 l) controlled for temperature and light conditions (17 degrees celcius,
15h light:9h dark) throughout the duration of the experiment. Within 2h of
fertilization, each of four replicates per treatment received exactly 200
embryos for measure early life survival, while four other replicates per
treatment each received ~400 offspring for long-term rearing. Larvae hatched
~14 days post-fertilization (dpf) and were immediately provided with
standardized rations of newly hatched brine shrimp nauplii Artemia salina (San
Francisco strain, Brine Shrimp Direct) and a commercial larval powder food
(first four days, Otohime Marine Weaning Diet, size A, Reed Mariculture). At 2
days post-hatch (dph), living larvae from survival replicates were counted by
gently scooping small groups into replacement containers. Between 1 to 14 days
post-hatch (dph), all containers were cleaned daily with partial (10%) water
exchange.
 
At 16 dph, larvae from the survival replicates were counted and a sub-sample
(Ncontrol = 37, Nhigh = 33) was preserved in 10% formaldehyde/seawater
solution for later total length (TL) measurements (nearest 0.01 mm) via
calibrated, digital images (ImagePro Premier\\u00a0V9.1). All surviving larvae
were transferred to larger (50 l) tubs and maintained under the previously
described protocol. At 33 dph, larvae from the survival replicates were
counted and then all larvae transferred to 50 l tubs fitted with screen-
covered holes (1 mm mesh) to promote water exchange from a 300 l seawater
bath. Due to space constraints, from 33 to 54 dph larvae from the survival
replicates were pooled into a single container per CO2 treatment. Larvae were
provided rations of nauplii and supplemented with commercial powder food
(Otohime B1, Reed Mariculture). At 54 dph, all juveniles from survival and
grow-out replicates were counted and pooled at equal numbers into 300 l circle
tanks (two tanks per treatment, ~615 fish per tank). Juveniles were provided
equal rations of newly hatched nauplii and B1 commercial powder food. Tanks
were siphoned for waste daily and partial water changes completed twice
weekly. Additional sub-samples for length measurements (TL, nearest 0.01 mm)
were made at 36 dph (Ncontrol = 20, Nhigh = 20), 68 dph (Ncontrol = 20, Nhigh
= 20) and 100 dph (Ncontrol = 28, Nhigh = 28).
 
At 122 dph, the experiment was terminated and all surviving juveniles were
euthanized via an overdose of Tricaine-S (MS 222, Western Chemical) for
preservation. While some juveniles from each treatment were immediately frozen
at -80 degrees celcius\\u00a0for fatty acid analyses; ~75% of the samples were
fixed in 10% buffered formaldehyde/seawater solution for TL (Ncontrol = 1,025;
Nhigh = 1,100, nearest 0.01 mm) and weight measurements (Ncontrol = 720; Nhigh
= 786, nearest 0.01g).\\u00a0";
    String awards_0_award_nid "650183";
    String awards_0_award_number "OCE-1536336";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536336";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Long-term Menidia growth 
    H.Baumann, J.Nye, PIs 
  Version 7 July 2016";
    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 "2016-07-07T20:53:22Z";
    String date_modified "2017-11-15T20:19:17Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.652124";
    Float64 Easternmost_Easting -72.01483611;
    Float64 geospatial_lat_max 41.32133889;
    Float64 geospatial_lat_min 41.32133889;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -72.01483611;
    Float64 geospatial_lon_min -72.01483611;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T12:00:53Z (local files)
2024-03-29T12:00:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_651461.das";
    String infoUrl "https://www.bco-dmo.org/dataset/651461";
    String institution "BCO-DMO";
    String instruments_0_acronym "pH Sensor";
    String instruments_0_dataset_instrument_description "handheld pH probe";
    String instruments_0_dataset_instrument_nid "651464";
    String instruments_0_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_0_instrument_name "pH Sensor";
    String instruments_0_instrument_nid "674";
    String instruments_0_supplied_name "Orion ROSS Ultra pH/ATC Triode";
    String instruments_1_acronym "pH Sensor";
    String instruments_1_dataset_instrument_description "portable pH meter";
    String instruments_1_dataset_instrument_nid "651470";
    String instruments_1_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_1_instrument_name "pH Sensor";
    String instruments_1_instrument_nid "674";
    String instruments_1_supplied_name "Orion Star A121 pH Portable Meter";
    String instruments_2_acronym "Automatic titrator";
    String instruments_2_dataset_instrument_description "Potentiometric Titrator";
    String instruments_2_dataset_instrument_nid "651471";
    String instruments_2_description "Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB12/";
    String instruments_2_instrument_name "Automatic titrator";
    String instruments_2_instrument_nid "682";
    String instruments_2_supplied_name "Mettler Toledo G20";
    String keywords "adult, adult_collection_site, age, bco, bco-dmo, biological, carbon, carbon dioxide, chemical, co2, CO2_treatment, collection, condition, condition_factor, data, dataset, date, date_sample, dioxide, dmo, erddap, factor, fertilization, latitude, length, length_total, longitude, management, oceanography, office, pH_treatment, preliminary, sample, site, species, tank, temperature, time, total, treatment, weight, wet, wet_weight";
    String license "https://www.bco-dmo.org/dataset/651461/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/651461";
    Float64 Northernmost_Northing 41.32133889;
    String param_mapping "{'651461': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/651461/parameters";
    String people_0_affiliation "University of Connecticut";
    String people_0_affiliation_acronym "UConn";
    String people_0_person_name "Hannes Baumann";
    String people_0_person_nid "528586";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Stony Brook University - SoMAS";
    String people_1_affiliation_acronym "SUNY-SB SoMAS";
    String people_1_person_name "Janet Nye";
    String people_1_person_nid "650186";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Connecticut";
    String people_2_affiliation_acronym "UConn";
    String people_2_person_name "Hannes Baumann";
    String people_2_person_nid "528586";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Ms Dicky Allison";
    String people_4_person_nid "50382";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "HYPOA";
    String projects_0_acronym "HYPOA";
    String projects_0_description 
"Description from NSF award abstract:
Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the \"Women in Science and Engineering\" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations.
This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and reciprocal offspring exposure experiments will elucidate the role of transgenerational plasticity as a potential short-term mechanism to cope with changing environments. To better understand the mechanisms of fish early life CO2-sensitivity, the effects of temperature × CO2 on pre- and post-hatch metabolism will be robustly quantified. The final objective is to rear silversides from fertilization to maturity under different CO2 levels and assess potential CO2-effects on sex ratio and whole life growth and fecundity.
Related references:
Gobler, C.J. and Baumann, H. (2016) Hypoxia and acidification in ocean ecosystems: Coupled dynamics and effects on marine life. Biology Letters 12:20150976. doi:10.1098/rsbl.2015.0976
Baumann, H. (2016) Combined effects of ocean acidification, warming, and hypoxia on marine organisms. Limnology and Oceanography e-Lectures 6:1-43. doi:10.1002/loe2.10002
Depasquale, E., Baumann, H., and Gobler, C.J. (2015) Variation in early life stage vulnerability among Northwest Atlantic estuarine forage fish to ocean acidification and low oxygen Marine Ecology Progress Series 523: 145–156.doi:10.3354/meps11142";
    String projects_0_end_date "2018-11";
    String projects_0_geolocation "Eastern Long Island Sound, CT, USA";
    String projects_0_name "Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish";
    String projects_0_project_nid "650184";
    String projects_0_start_date "2015-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.32133889;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "species,adult_collection_site,latitude,longitude,temp";
    String summary 
"Total length, wet weight, and condition factor of juvenile
Menidia\\u00a0menidia reared at contrasting CO2 levels.
 
These data are\\u00a0associated with the corresponding paper:
 
Murray, C.S., Fuiman, L., and Baumann, H.\\u00a0Consequences of elevated
CO2\\u00a0exposure across multiple life stages in a coastal forage
fish.\\u00a0ICES Journal of Marine Science\\u00a074:1051-1061(2017).";
    String title "Laboratory study of long-term growth in juvenile Menidia menidia (Atlantic silverside) at contrasting CO2 levels for 16 to 122 days in 2015";
    String version "1";
    Float64 Westernmost_Easting -72.01483611;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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 (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact