3-D habitat suitability maps (HSMS) or probability of occurrence maps for main commercial fish species, built using Shape-Constrained Generalized Additive Models (SC-GAMs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [aphiaid][depth][latitude][longitude]):
occurrence_probability (Probability of occurrence of biological entity)


PSMSL Revised Local Reference (RLR) annual data

Permanent Service for Mean Sea Level (PSMSL), 2020, "Tide Gauge Data", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/

cdm_data_type = Other
VARIABLES:
stationid (psmsl station id)
time (seconds since 1970-01-01T00:00:00Z)
SLEV (mean sea level, mm)
MISSINGDAYSFLAG (missing days flag for the year, 1)
ATTENTIONFLAG (number of missing days of data in the month, 1)


PSMSL Revised Local Reference (RLR) monthly data

Permanent Service for Mean Sea Level (PSMSL), 2020, "Tide Gauge Data", Retrieved 01 Jun 2020 from http://www.psmsl.org/data/obtaining/

cdm_data_type = Other
VARIABLES:
stationid (psmsl station id)
time (seconds since 1970-01-01T00:00:00Z)
SLEV (mean sea level, mm)
MISSINGDAYS (number of missing days of data in the month, 1)
ATTENTIONFLAG (number of missing days of data in the month, 1)


Summary presence/absence maps of macro-endobenthos in the greater North Sea, based on nearly 100,000 samples from 65 assembled monitoring data sets

The large databases of EMODNET Biology only store confirmed presences of species. However, when mapping species distribution, it is also important where the species did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):
probability_occurrence (Probability of occurrence of biological entity)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Sea Surface Temperature

This dataset has daily Sea Surface Temperature (SST) data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
T_25 (Sea Surface Temperature, degree_C)
QT_5025 (Sea Surface Temperature Quality)
ST_6025 (Sea Surface Temperature Source)


Temporal turnover of macrobenthos in European seas

Eight measures of changes in species compositions of European macrobenthic communities between different time periods based on presence / absence in  on a 1 degree grid

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
beta_total_pre1990_v_1990s (all_diversity_measures.nc beta_total_pre1990_v_1990s)
beta_total_pre1990_v_2000_2004 (all_diversity_measures.nc beta_total_pre1990_v_2000_2004)
beta_total_pre1990_v_2005_2009 (all_diversity_measures.nc beta_total_pre1990_v_2005_2009)
beta_total_pre1990_v_2012_2014 (all_diversity_measures.nc beta_total_pre1990_v_2012_2014)
beta_total_pre1990_v_post2015 (all_diversity_measures.nc beta_total_pre1990_v_post2015)
beta_total_1990s_v_2000_2004 (all_diversity_measures.nc beta_total_1990s_v_2000_2004)
beta_total_1990s_v_2005_2009 (all_diversity_measures.nc beta_total_1990s_v_2005_2009)
beta_total_1990s_v_2012_2014 (all_diversity_measures.nc beta_total_1990s_v_2012_2014)
beta_total_1990s_v_post2015 (all_diversity_measures.nc beta_total_1990s_v_post2015)
beta_total_2000_2004_v_2005_2009 (all_diversity_measures.nc beta_total_2000_2004_v_2005_2009)
beta_total_2000_2004_v_2012_2014 (all_diversity_measures.nc beta_total_2000_2004_v_2012_2014)
beta_total_2000_2004_v_post2015 (all_diversity_measures.nc beta_total_2000_2004_v_post2015)
beta_total_2005_2009_v_2012_2014 (all_diversity_measures.nc beta_total_2005_2009_v_2012_2014)
beta_total_2005_2009_v_post2015 (all_diversity_measures.nc beta_total_2005_2009_v_post2015)
beta_total_2012_2014_v_post2015 (all_diversity_measures.nc beta_total_2012_2014_v_post2015)
beta_repl_pre1990_v_1990s (all_diversity_measures.nc beta_repl_pre1990_v_1990s)
beta_repl_pre1990_v_2000_2004 (all_diversity_measures.nc beta_repl_pre1990_v_2000_2004)
beta_repl_pre1990_v_2005_2009 (all_diversity_measures.nc beta_repl_pre1990_v_2005_2009)
beta_repl_pre1990_v_2012_2014 (all_diversity_measures.nc beta_repl_pre1990_v_2012_2014)
beta_repl_pre1990_v_post2015 (all_diversity_measures.nc beta_repl_pre1990_v_post2015)
beta_repl_1990s_v_2000_2004 (all_diversity_measures.nc beta_repl_1990s_v_2000_2004)
beta_repl_1990s_v_2005_2009 (all_diversity_measures.nc beta_repl_1990s_v_2005_2009)
beta_repl_1990s_v_2012_2014 (all_diversity_measures.nc beta_repl_1990s_v_2012_2014)
beta_repl_1990s_v_post2015 (all_diversity_measures.nc beta_repl_1990s_v_post2015)
beta_repl_2000_2004_v_2005_2009 (all_diversity_measures.nc beta_repl_2000_2004_v_2005_2009)
beta_repl_2000_2004_v_2012_2014 (all_diversity_measures.nc beta_repl_2000_2004_v_2012_2014)
... (94 more variables)


The data in the EMODnet Grid should not be used for navigation or any purpose relating to safety at sea.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
elevation (Elevation relative to sea level, m)
value_count (Number of values used to compute the resulting elevation over the cell)
cdi_index (CDI index of this cell. matching CDI information is retrieved from cdi_reference variable)
interpolation_flag (Indicator of cell processed as extrapolation of the neighbouring cells (absence of real soundings data).)
elevation_max (max elevation value over a cell, relative to Lowest Astronomical Tide, m)
elevation_min (min elevation value over a cell, relative to Lowest Astronomical Tide, m)
stdev (Standard Deviation of elevation data over cell, m)

On behalf of the EMODnet project, http://www.emodnet-bathymetry.eu/.


Vessel Density. Cogea data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vd (Vessel density, seconds)


Vessel Density. Flanders Marine Institute data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vd (Vessel density, seconds)


Vessel traffic density, 2019, Dredging or underwater ops


Vessel traffic density, 2019, High Speed craft


Vessel traffic density, 2019, Miliary and law enforcement


Vessel traffic density, 2019, Pleasure craft


Vessel traffic density, 2019, Tug and Towing