* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)

Department of Marine and Coastal Sciences, Rutgers University


Trawl survey taxon count data for bottom fish and invertebrates at an offshore sand borrow site in offshore New Jersey. 5 seasonal surveys were conducted over 3 years, with 4 days of collections each of within survey. Trawls were randomized over 7 cluster areas.

cdm_data_type = Point
VARIABLES:
row
time (Date Time Utc, seconds since 1970-01-01T00:00:00Z)
yr (year, EST/UTM 18N)
mo (month, EST/UTM 18N)
da (day of month, EST/UTM 18N)
hr (hour, UTC)
min (minute, UTC)
stationID (trawl_station_ID, identifier)
survey (Trawl Survey, season year)
longitude (Longitude Trawl Midpoint, degrees_east)
latitude (Latitude Trawl Midpoint, degrees_north)
common (Taxon Common Name)
sciname (Taxon Scientific Name)
tsn (Itis Tsn Number)
count (Taxon Count, count)


Bottom trawl survey: length and sex data

Trawl survey individual specimen length and sex data for bottom fish and invertebrates at an offshore sand borrow site in offshore New Jersey. 5 seasonal surveys were conducted over 3 years, with 4 days of collections each of within survey. Trawls were randomized over 7 cluster areas.

cdm_data_type = Point
VARIABLES:
row
time (Date Time Utc, seconds since 1970-01-01T00:00:00Z)
yr (year, EST/UTM 18N)
mo (month, EST/UTM 18N)
da (day of month, EST/UTM 18N)
hr (hour, UTC)
min (minute, UTC)
stationID (trawl_station_ID, identifier)
survey (Trawl Survey, season year)
season
longitude (Longitude Trawl Midpoint, degrees_east)
latitude (Latitude Trawl Midpoint, degrees_north)
common (Taxon Common Name)
sciname (Taxon Scientific Name)
tsn (Itis Tsn Number)
ind_id (Individual Id)
metric (Measurement Type)
length (Specimen Length, millimeters)
sex (Specimen Sex)


Trawl survey station data for bottom fish and invertebrates at an offshore sand borrow site in offshore New Jersey. 5 seasonal surveys were conducted over 3 years, with 4 days of collections each of within survey. Trawls were randomized over 7 cluster areas.

cdm_data_type = Point
VARIABLES:
row
time (Date Time Utc, seconds since 1970-01-01T00:00:00Z)
yr (year, EST/UTM 18N)
mo (month, EST/UTM 18N)
da (day of month, EST/UTM 18N)
hr (hour, UTC)
min (minute, UTC)
stationID (trawl_station_ID, identifier)
survey (Trawl Survey, season year)
vessel (Vessel Name)
season
longitude (Longitude Trawl Midpoint, degrees_east)
latitude (Latitude Trawl Midpoint, degrees_north)
cluster (Cluster Area)
duration (Trawl Duration, minutes)
distance (Trawl Distance, meters)
depth (Water Depth, m)


NETCDF file is derived from extratced data produced by Dr. Gary Taghon(taghon@marine.rutgers.edu)

cdm_data_type = Other
VARIABLES:
year (Year of survey, year)
latitude (degrees_north)
longitude (degrees_east)
reference
month (Month of the year, month)
depth (Water Depth, m)
grainsize (Grain size in mm., mm)
grainsizephi (Krumbein phi scale)
IGSD (Inclusive Graphic Standard Deviation (phi))
sortdescription (Sorting Description)
C (Percent Carbon by weight, percent)
TVS (Percent of Total Volatile Solids, percent)
speciesnumber (Number of Species, species)
indnumber (Number of Individuals, individual)
shannon (Shannon diversity index)
simpson (Simpson index)
polychaetes (Proportion of Polychaetes)
crustaceans (Proportion of Crustaceans)
cnidarians (Proportion of Cnidarians)
echinoderms (Proportion of Echinoderms)
molluscs (Proportion of Molluscs)


ECOMON Conductivity, Temperature, Depth (CTD) data. Institute for Marine and Coastal Sciences. Rutgers, The State University data from a local source.

cdm_data_type = Profile
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
temperature (degree_C)
salinity (PSU)


Marine-Life Data and Analysis Team Fish Biomass

Included species: Alewife, American eel, American shad, Atlantic halibut, Atlantic sturgeon, Atlantic wolffish, Black sea bass, Blueback herring, Cusk, Hickory shad, Horseshoe crab, Northern shrimp, Ocean pout, Sand tiger, Sea scallop, Striped bass, Tautog, Thorny skate, Tilefish, Winter flounder, Witch flounder

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
fish_biomass_nefsc_2010_END_FALL_ASMFC_FMPs
fish_biomass_nefsc_2010_END_FALL_Abundance_Vulnerable_to_Climate_Changes
fish_biomass_nefsc_2010_END_FALL_All
fish_biomass_nefsc_2010_END_FALL_Demersal
fish_biomass_nefsc_2010_END_FALL_Diadromous
fish_biomass_nefsc_2010_END_FALL_Distribution_Vulnerable_to_Climate_Changes
fish_biomass_nefsc_2010_END_FALL_EFH_Species
fish_biomass_nefsc_2010_END_FALL_Forage
fish_biomass_nefsc_2010_END_FALL_Highly_Migratory_Species
fish_biomass_nefsc_2010_END_FALL_MAFMC_FMPs
fish_biomass_nefsc_2010_END_FALL_NEFMC_Skates
fish_biomass_nefsc_2010_END_FALL_NEFMC_multispecies
fish_biomass_nefsc_2010_END_FALL_NEFMC_small_mesh_multispecies
fish_biomass_nefsc_2010_END_SPRING_ASMFC_FMPs
fish_biomass_nefsc_2010_END_SPRING_Abundance_Vulnerable_to_Climate_Changes
fish_biomass_nefsc_2010_END_SPRING_All
fish_biomass_nefsc_2010_END_SPRING_Demersal
fish_biomass_nefsc_2010_END_SPRING_Diadromous
fish_biomass_nefsc_2010_END_SPRING_Distribution_Vulnerable_to_Climate_Changes
fish_biomass_nefsc_2010_END_SPRING_EFH_Species
fish_biomass_nefsc_2010_END_SPRING_Forage
fish_biomass_nefsc_2010_END_SPRING_Highly_Migratory_Species
fish_biomass_nefsc_2010_END_SPRING_MAFMC_FMPs
fish_biomass_nefsc_2010_END_SPRING_NEFMC_Skates
fish_biomass_nefsc_2010_END_SPRING_NEFMC_multispecies
fish_biomass_nefsc_2010_END_SPRING_NEFMC_small_mesh_multispecies


Marine-Life Data and Analysis Team Fish Species Core Biomass

The following 81 fish species were modeled: Acadian redfish, Alewife, American eel, American lobster, American plaice, American sand lance, American shad, Atlantic cod, Atlantic croaker, Atlantic halibut, Atlantic herring, Atlantic mackerel, Atlantic menhaden, Atlantic sharpnose shark, Atlantic sturgeon, Atlantic torpedo, Atlantic wolffish, Banded drum, Barndoor skate, Bay anchovy, Black sea bass, Blackbelly rosefish, Blueback herring, Bluefish, Bluntnose stingray, Bullnose ray, Butterfish, Capelin, Clearnose skate, Cunner, Cusk, Fourspot flounder, Goosefish, Gulf stream flounder, Haddock, Hickory shad, Horseshoe crab, Jonah crab, Little skate, Longfin squid, Longhorn sculpin, Northern sand lance, Northern shrimp, Northern kingfish, Northern pipefish, Northern puffer, Northern searobin, Northern shortfin squid, Ocean pout, Pigfish, Pinfish, Pollock, Red hake, Rosette skate, Roughtail stingray, Round herring, Sand tiger, Scup, Sea raven, Sea scallop, Silver hake, Smooth dogfish, Smooth skate, Southern stingray, Spiny butterfly ray, Spiny dogfish, Spotted hake, Spot, Striped anchovy, Striped bass, Striped searobin, Summer flounder, Tautog, Thorny skate, Tilefish, Weakfish, White hake, Windowpane, Winter flounder, Winter skate, Witch flounder, and Yellowtail flounder.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
fish_corearea_nefsc_2010_END_FALL_ATL_ASMFC_FMPs
fish_corearea_nefsc_2010_END_FALL_ATL_Abundance_Vulnerable_to_Climate_Changes
fish_corearea_nefsc_2010_END_FALL_ATL_All
fish_corearea_nefsc_2010_END_FALL_ATL_Demersal
fish_corearea_nefsc_2010_END_FALL_ATL_Diadromous
fish_corearea_nefsc_2010_END_FALL_ATL_Distribution_Vulnerable_to_Climate_Changes
fish_corearea_nefsc_2010_END_FALL_ATL_EFH_Species
fish_corearea_nefsc_2010_END_FALL_ATL_Forage
fish_corearea_nefsc_2010_END_FALL_ATL_Highly_Migratory_Species
fish_corearea_nefsc_2010_END_FALL_ATL_MAFMC_FMPs
fish_corearea_nefsc_2010_END_FALL_ATL_NEFMC_Skates
fish_corearea_nefsc_2010_END_FALL_ATL_NEFMC_multispecies
fish_corearea_nefsc_2010_END_FALL_ATL_NEFMC_small_mesh_multispecies
fish_corearea_nefsc_2010_END_FALL_MIDA_ASMFC_FMPs
... (61 more variables)


Marine-Life Data and Analysis Team Fish Species Richness

The following 81 fish species were modeled: Acadian redfish, Alewife, American eel, American lobster, American plaice, American sand lance, American shad, Atlantic cod, Atlantic croaker, Atlantic halibut, Atlantic herring, Atlantic mackerel, Atlantic menhaden, Atlantic sharpnose shark, Atlantic sturgeon, Atlantic torpedo, Atlantic wolffish, Banded drum, Barndoor skate, Bay anchovy, Black sea bass, Blackbelly rosefish, Blueback herring, Bluefish, Bluntnose stingray, Bullnose ray, Butterfish, Capelin, Clearnose skate, Cunner, Cusk, Fourspot flounder, Goosefish, Gulf stream flounder, Haddock, Hickory shad, Horseshoe crab, Jonah crab, Little skate, Longfin squid, Longhorn sculpin, Northern sand lance, Northern shrimp, Northern kingfish, Northern pipefish, Northern puffer, Northern searobin, Northern shortfin squid, Ocean pout, Pigfish, Pinfish, Pollock, Red hake, Rosette skate, Roughtail stingray, Round herring, Sand tiger, Scup, Sea raven, Sea scallop, Silver hake, Smooth dogfish, Smooth skate, Southern stingray, Spiny butterfly ray, Spiny dogfish, Spotted hake, Spot, Striped anchovy, Striped bass, Striped searobin, Summer flounder, Tautog, Thorny skate, Tilefish, Weakfish, White hake, Windowpane, Winter flounder, Winter skate, Witch flounder, and Yellowtail flounder.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
fish_richness_nefsc_2010_END_FALL_ASMFC_FMPs
fish_richness_nefsc_2010_END_FALL_Abundance_Vulnerable_to_Climate_Changes
fish_richness_nefsc_2010_END_FALL_All
fish_richness_nefsc_2010_END_FALL_Demersal
fish_richness_nefsc_2010_END_FALL_Diadromous
fish_richness_nefsc_2010_END_FALL_Distribution_Vulnerable_to_Climate_Changes
fish_richness_nefsc_2010_END_FALL_EFH_Species
fish_richness_nefsc_2010_END_FALL_Forage
fish_richness_nefsc_2010_END_FALL_Highly_Migratory_Species
fish_richness_nefsc_2010_END_FALL_MAFMC_FMPs
fish_richness_nefsc_2010_END_FALL_NEFMC_Skates
fish_richness_nefsc_2010_END_FALL_NEFMC_multispecies
fish_richness_nefsc_2010_END_FALL_NEFMC_small_mesh_multispecies
fish_richness_nefsc_2010_END_SPRING_ASMFC_FMPs
... (12 more variables)


Median of wave-current bottom shear stress in the Mid-Atlantic Bight.

This GIS layer contains an estimate of the median of bottom shear stress for the Middle Atlantic Bight. This output is based on statistical characterization of numerical model estimates of wave and circulation patterns over an approximately one year time frame. This data layer is primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.

cdm_data_type = Other
VARIABLES:
index
summerstress (Summer Bottom shear stress, Pa)
springstress (Spring Bottom shear stress, Pa)
winterstress (Winter Bottom shear stress, Pa)
fallstress (Fall Bottom shear stress, Pa)
stress (Annual Bottom shear stress, Pa)
longitude (degrees_east)
latitude (degrees_north)


NEFSC Resource Survey Report Atlantic Surfclam/Ocean: 3 August - 15 August 2018

Five-minute tows were made at the speed of 3.0 knots, scope of 2:1, and with a commercial-style hydraulic dredge equipped with a 13-foot-wide cutting blade and a surface- supplied manifold positioned on the forward end of the dredge. Survey stations were randomly selected to provide unbiased abundance measurements. Therefore, these stations were not alwayson or near known locations of clam concentrations.

cdm_data_type = Other
VARIABLES:
index
oceanquahog_number (Number of Ocean Quahogs)
depth (Water Depth, m)
surfclam_number (Number of Surf Clams)
station (Station Number)
longitude (degrees_east)
latitude (degrees_north)


This dataset contains survey points for scallop catches from NOAA Northeast Fisheries Science Center (NEFSC) scallop dredge surveys during the years 1966 to 2014. The NEFSC scallop survey program began in 1960 and had a major gear change in 1979. Since 1979 there have been other gear and vessel changes, for which the effects are generally small (Hart 2015). The survey collected information on total scallop biomass and meat weight biomass. Meat weight is calculated from shell height-to-meat weight ratios from Hennen and Hart (2012)

cdm_data_type = Other
VARIABLES:
index
year (Year of survey, year)
biomass (Total biomass., kg)
abundance (Number of individuals)
longitude (degrees_east)
latitude (degrees_north)


Normalized Avian Abundance: Crustacean Eaters

For all species together and for each group of species, total abundance maps are calculated in a Geographic Information System (GIS) by stacking each individual species predicted annual abundance layers and summing the values of the pixels in each resulting "column". The result is the total predicted abundance of all individuals (of the included species) in that cell.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
abundance (Normalized Abundance)


Normalized Avian Core Abundance: Crustacean Eaters

For all species together and for each group of species, total abundance maps are calculated in a Geographic Information System (GIS) by stacking each individual species predicted annual abundance layers and summing the values of the pixels in each resulting "column". The result is the total predicted abundance of all individuals (of the included species) in that cell.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
coreabundance (Normalized Core Abundance)


Normalized Avian Core Abundance: Fish Eaters


Normalized Avian Richness: Crustacean Eaters

For all species together and for each group of species, total abundance maps are calculated in a Geographic Information System (GIS) by stacking each individual species predicted annual abundance layers and summing the values of the pixels in each resulting "column". The result is the total predicted abundance of all individuals (of the included species) in that cell.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
richness (Normalized Species Richness)


Northeast Fisheries Science Center "Fish Species Through Time" Trawl Dataset[TG2].

The Fish Species Through Time data represent an analysis of Northeast Fisheries Science Center (NEFSC) bottom trawl survey data collected between 1972 and 2016 (Spring includes an additional year up to 2017). This analysis was performed by The Nature Conservancy with funding from Virginia�s Coastal Zone Management Program. Layers show where selected individual fish species have consistently been found in high biomass over time (by decade). The species included are those that are important recreationally and/or commercially in the Mid-Atlantic region and are also relatively well represented in the trawl survey data. Employing analysis methods developed by NEFSC and Rutgers University, an interpolated biomass surface was derived for each species, each year and each season (refer to the documentation of the fish biomass data layers on the Mid-Atlantic Ocean Data Portal for an overview on the methods used). Each interpolated surface was then analyzed to determine areas of higher relative biomass. Two thresholds were used � �high� and �highest�. These thresholds represent biomass values in the top 25% and top 10%, respectively, of all biomass values available for an individual species and season. The same threshold values are used for all decades, so the resulting layers are comparable. These areas of high biomass by year were then combined by decade (e.g., 1990 � 1999) and areas with high year-to-year variability (areas with 5 years or less within the high or very high categories, or persistence below 50%) were removed. Areas where a species was present, regardless of biomass, were also developed. Finally, data layers were developed showing "overlap areas" for each species. This is a single layer for each species that shows areas of high biomass that occurred in all five decades and spatially overlapped with one another.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][latitude][decade]):
Alewife_Fall_biomass (Alewife Fall biomass threshold)
Alewife_Spring_biomass (Alewife Spring biomass threshold)
AmericanShad_Fall_biomass (AmericanShad Fall biomass threshold)
AmericanShad_Spring_biomass (AmericanShad Spring biomass threshold)
AtlanticMackerel_Fall_biomass (AtlanticMackerel Fall biomass threshold)
AtlanticMackerel_Spring_biomass (AtlanticMackerel Spring biomass threshold)
BlackSeaBass_Fall_biomass (BlackSeaBass Fall biomass threshold)
BlackSeaBass_Spring_biomass (BlackSeaBass Spring biomass threshold)
... (20 more variables)


Northwest Atlantic Marine Ecoregional Assessment: Benthic Habitats.

This data product was created as part of the Northwest Atlantic Marine Ecoregional Assessment. The Nature Conservancy developed this science-based ecoregional assessment for the Northwest Atlantic Marine region (Bay of Fundy to Cape Hatteras, North Carolina). This assessment synthesizes information on oceanography, chemistry, geology, biology, and social science to inform decisions about coastal and marine ecosystems. The ten categories of targets identified as the primary structure for the marine ecoregional assessment are: coastal and estuarine habitats, benthic habitats, diadromous fish, demersal fish, pelagic fish, forage fish, nearshore shellfish, shorebirds and seabirds, marine mammals, and sea turtles.

cdm_data_type = Other
VARIABLES:
index
latitude (degrees_north)
longitude (degrees_east)
habitat_code (Numeric Habitat Code)
sediment_code (Sediment Grain Size Code)
depth_code (Depth Range Code)
ecological_code (Habitat Description Code)
assoc_1_code (Associated Species Code 1)
assoc_2_code (Associated Species Code 2)
assoc_3_code (Associated Species Code 3)


Percentage of time sediment is mobile for May, 2010, May, 2011 at select points in the Middle Atlantic Bight

Percentage of time sediment is mobile for May, 2010 - May, 2011 at select points in the Middle Atlantic Bight. This GIS layer contains an estimate of the percentage of time sediment is mobile at select points in the Middle Atlantic Bight. This output is based on numerical models of wave and circulation used to estimate bottom shear stress over an approximately one year time frame, which is subsequently compared to critical stress values estimated from observed surface sediment texture data. This data layer is primarily intended to show the overall distribution of sediment mobility on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community. This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains the percentage of time sediment is mobile at select points in the Middle Atlantic Bight.

cdm_data_type = Other
VARIABLES:
index
summermobility (Summer Percentage of time sediment is mobile, Pa)
springmobility (Spring Percentage of time sediment is mobile, Pa)
wintermobility (Winter Percentage of time sediment is mobile, Pa)
fallmobility (Fall Percentage of time sediment is mobile, Pa)
mobility (Annual Percentage of time sediment is mobile, percent)
longitude (degrees_east)
latitude (degrees_north)


With the aid of the commercial scallop fishing industry, the SMAST video survey covered the Continental Shelf from the southern Mid-Atlantic to the USACanadian border on eastern Georges Bank. The survey was conducted to assess the abundance and distribution of the Atlantic sea scallop on the Mid-Atlantic Bight and Georges Bank.

cdm_data_type = Other
VARIABLES:
index
area (The_area_of_the_SASI_grid_cell, km^2)
ScallopSD (The standar deviation of scallop surveys, scallops)
ScallopAve (The average number of scallops per survey, scallops)
longitude (degrees_east)
latitude (degrees_north)


This dataset was created for the Northwest Atlantic Marine Ecoregional Assessment (NAMERA) in order to map soft sediments based on their grain size (in mm). This version (2) is an update of the original 2010 soft sediments layer using new data. THIS DATASET WAS NOT CREATED FOR NAVIGATIONAL PURPOSES AND AS SUCH SHOULD NOT BE USED FOR NAVIGATION.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
grainsize (Grain Size, mm)


Topography, ETOPO1, 0.0166667 degrees, Global (longitude -180 to 180), (Ice Sheet Surface)

ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. It was built from numerous global and regional data sets. This is the 'Ice Surface' version, with the top of the Antarctic and Greenland ice sheets. The horizontal datum is WGS-84, the vertical datum is Mean Sea Level. Keywords: Bathymetry, Digital Elevation. This is the grid/node-registered version: the dataset's latitude and longitude values mark the centers of the cells.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
altitude (m)