We provide most Ocean Health Index (OHI) data through Github, but some files are just too large. These larger files are available from this location. Specifically, the following data are available here:

  • Spatial files describing the OHI regions
  • Some supplementary files used in our analyses

The raster files may be particularly useful for researchers conducting regional OHI assessments (or, other analyses) that require summarizing the data for regions.

Resources are available for viewing, analyzing, and manipulating spatial data in R from our Github repository, specifically:

OHI regions

Download the OHI global regions!

This folder includes shapefiles in both the Mollweide (regions_mol) and WGS 84 (regions_gcs) coordinate reference systems (Fig. 1). See this primer for more information about coordinate reference systems. These files can be opened in mapping programs such as ArcGIS, GRASS GIS, and R. Table 1 includes information about the data fields included in these shapefiles.

Figure 1. OHI regions

For the Mollweide (A) and WGS 84 (B) coordinate reference systems.

Table 1. OHI region metadata

The region shapefiles include the following fields.

Field Includes Description
rgn_typ eez (N = 239), eez-disputed (15), eez-inland (5), fao (15), land (229), land-disputed (8), land-noeez (40) Only the “eez” and “fao” regions are included in the global assessments. “fao” regions refer to the FAO Major Fishing Areas, excluding eez regions. The “eez” regions are based on the exclusive economic zone boundaries of 220 regions and the CCAMLR areas for 19 regions in Antarctica.
ant_type eez (N = 220), eez-ccamlr (19), eez-disputed (15), eez-inland (5), fao (15), land (220), land-ccamlr (9), land-disputed (8), land-noeez (40) This is similar to the rgn_typ variable but designates the Antarctica regions (“eez-ccamlr”)
rgn_id numeric region identifiers (1 - 337) 255 = disputed regions; 260-277 = fao regions; 301-337 = landlocked regions; 213 = Antarctica CCAMLR regions
ant_id numeric region identifiers Same as rgn_id, except that Antarctica CCAMLR regions are identified
rgn_nam e.g., Antarctica, Peru Name of region
rgn_key e.g., ATA, UMI Short identifying code for region
are_km2 numeric (<1, 30604795) Area of region in km2

Additional OHI region data

Download additional OHI region files

This zipfile contains several spatial files that we use for global OHI assessments:

Filename Format Description
sp_mol_raster_1km.tif tif raster ~ 1km resolution raster of OHI regions (generated using the Mollweide spatial file provided above)
regionData.csv csv links the cell ids in the sp_mol_raster_1km.tif to other region data
ocean.tif tif raster ocean mask used to prepare pressure files
ice_mask_resampled.tif tif raster mask used to exclude ice areas for some pressures
regions_offshore3nm_mol shapefile 3nm offshore area for OHI regions

Net Primary Productivity data

Download our modified NPP data

We use Net Primary Productivity data to scale the fishing pressures data for the OHI global assessment.

This is a slightly modified version of the data provided by:

Behrenfeld, M.J. and Falkowski, P.G., 1997. Photosynthetic rates derived from satellite‐based chlorophyll concentration. Limnology and oceanography, 42(1), pp.1-20.

As described here, we convert these data to a tif raster in the Mollweide coordinate reference system and average the monthly data to estimate mean annual NPP. Units are mg C/m2/data. Data are available from 2003 to 2015.

These data could be useful for estimating fishing pressures at different spatial scales.