definition of Metadata fields for the TOAR database
Metadata
Metadata descriptions of the TOAR V2 database
coordinates of a station location
coordinates
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#kind-of-annotation
kind
kind of annotation (see controlled vocabulary: Kind Of Annotation)
Data
observation or numerical model output
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#data-flag
flags
identical to class DataFlag (controlled vocabulary)
text
text of annotation
date_added
timestamp when annotation was added
approved
Flag indicating whether the annotation of a station has been verified
contributor_id
(TOAR database internal) ID of contributor who added the annotation
resource_description
Description of the resource
date_added
Date of metadata record entry into TOAR database
resource
auxillary document file
resource_description
Description of the resource
date_added
Date of metadata record entry into TOAR database
resource
auxillary image file
image_height
Number of image pixels in direction of height
image_width
Number of image pixels in direction of width
resource_description
Description of the resource
date_added
Date of metadata record entry into TOAR database
StationMeta
metadata of a station
resource
auxiliary URL
contains contact information for an organisation and a person playing a certain role with respect to a station
roles
Roles
annotations
annotations of a station
aux_images
auxiliary images
aux_docs
auxiliary documents
aux_urls
auxiliary URLs
globalmeta
geolocation metadata
changelog
Protocol of changes in Station metadata
description
Description of change
datetime
Date and time of change to the TOAR database
old_value
value before the change in the TOAR database
new_value
new, changed value
author_id
internal ID of person who submitted the change to the TOAR database
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#type-of-change
type_of_change
Type of change (see controlled vocabulary: Type Of Change)
Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts.
data_source: NASA Shuttle Radar Topographic Mission (SRTM)
data_url: http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp
citation:
Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)
http://srtm.csi.cgiar.org
mean_srtm_alt_90m_year1994
mean value of altitude (in meter) within a radius of 90 m around station location of the year 1994
Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts.
data_source: NASA Shuttle Radar Topographic Mission (SRTM)
data_url: http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp
citation:
Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)
http://srtm.csi.cgiar.org
mean_srtm_alt_1km_year1994
Mean altitude (in meter) in a radius of 1 km of the station location according to the Shuttle Radar Topography Mission (SRTM)
Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts.
max_srtm_relative_alt_5km_year1994
maximum altitude (in meter) in a 5 km radius around the station location according to the Shuttle Radar Topography Mission (SRTM) , maintained by SRTM 90m DEM Digital Elevation Database at CIAT-CSI SRTM (http://srtm.csi.cgiar.org)
data URL: http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp
maximum value within a radius of 5 km around station location with relative altitude of the year 1994
Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts.
data_source: NASA Shuttle Radar Topographic Mission (SRTM)
data_url: http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp
citation:
Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)
min_srtm_relative_alt_5km_year1994
minimum value within a radius of 5 km around station location with relative altitude of the year 1994
Users should acknowledge CIAT as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set. CIAT also request reprints of any publications and notification of any redistributing efforts.
data_source: NASA Shuttle Radar Topographic Mission (SRTM)
data_url: http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp
citation:
Jarvis, A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org)
http://srtm.csi.cgiar.org
stddev_srtm_relative_alt_5km_year1994
standard deviation within a radius of 5 km around station location with relative altitude of the year 1994
citation:
University of East Anglia Climatic Research Unit; Harris, I.C.; Jones, P.D. (2017): CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015). Centre for Environmental Data Analysis, 25 August 2017. doi:10.5285/edf8febfdaad48abb2cbaf7d7e846a86.
data_source:
University of East Anglia Climatic Research Unit; Harris, I.C.; Jones, P.D. (2017): CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015). Centre for Environmental Data Analysis, 25 August 2017. http://dx.doi.org/10.5285/edf8febfdaad48abb2cbaf7d7e846a86
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#climatic-zone-2019
climatic_zone_year2016
Climatic zones values 1901 - 2015 (see controlled vocabulary: Climatic Zone 2019)
illustation is available in figure 4 of https://publications.jrc.ec.europa.eu/repository/bitstream/JRC102552/lbna28255enn.pdf
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#station-htap-region
htap_region_tier1_year2010
The integer denoting the 'tier1' region defined in the task force on hemispheric transport of air pollution (TFHTAP) coordinated model studies (see controlled vocabulary: Station HTAP Region)
dominant_landcover_year2012
The dominant land cover according to the Land Cover Classification System (LCCS)
data from ESA 2017 and UCLouvain, '
data_url: http://maps.elie.ucl.ac.be/CCI/viewer/download.php
(see controlled vocabulary: Station Landcover Type)
ESA. Land Cover CCI Product User Guide Version 2. Tech. Rep. (2017). Available at: http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf
landcover_description_year2012
description of the values for the year 2012 within a radius of 25 km around station location
dominant_ecoregion_year2017
Dominant ecoregion according to the RESOLVE Ecoregions dataset, updated in 2017.
dataset URL: https://ecoregions2017.appspot.com/
Eric Dinerstein et.al. "An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm", BioScience, Volume 67, Issue 6, June 2017, Pages 534–545, https://doi.org/10.1093/biosci/bix014
ecoregion_description_year2017
description of the values for the year 2017 within a radius of 25 km around station location
distance_to_major_road_year2020
value for the year 2020 of distance to major roads generated using OpenStreetMap Overpass interface (Overpass API 0.7.57.2 48842a1b)
The files are cloud-free composites made using all the available archived DMSP-OLS smooth resolution data for calendar years. In cases where two satellites were collecting data - two composites were produced. The products are 30 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. For details, see https://ngdc.noaa.gov/eog/gcv4_readme.txt
mean_nightlight_1km_year2013
Year 2013 nighttime lights brightness values at station location (original 1 km horizontal resolution). Reference: NOAA DMSP stable nighttime lights: a 0.925 km resolution dataset of non-ephemeral visible light intensity at night (Dataset: http://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html)
mean value within a radius of 1 km around station location of the year 2013
The files are cloud-free composites made using all the available archived DMSP-OLS smooth resolution data for calendar years. In cases where two satellites were collecting data - two composites were produced. The products are 30 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. For details, see https://ngdc.noaa.gov/eog/gcv4_readme.txt
mean_nightlight_5km_year2013
Nighttime lights brightness values for the year 2013 at 5 km resolution (original 1 km horizontal resolution). (Dataset: http://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html)
mean value within a radius of 5 km around station location of the year 2013
https://ngdc.noaa.gov/eog/gcv4_readme.txt
max_nightlight_25km_year2013
Maximum nighttime lights brightness values for the year 2013 at 25 km resolution (original 1 km horizontal resolution). (Dataset: http://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html)
max_nightlight_25km_year1992
Maximum nighttime lights brightness values for the year 1992 at 25 km resolution (original 1 km horizontal resolution). (Dataset: http://ngdc.noaa.gov/eog/dmsp/downloadV4composites.html)
data source: The European Commission, Joint Research Centre,
data_url: https://ghsl.jrc.ec.europa.eu/ghs_pop2019.php
mean_population_density_250m_year2015
mean value of human population within a radius of 250 m around station location of the year 2015. A grid with 9 arcsec resolution is used.
data_source: The European Commission, Joint Research Centre,
data_url: https://ghsl.jrc.ec.europa.eu/ghs_pop2019.php
citation:
Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS-POP R2019A - GHS population grid multitemporal (1975-1990-2000-2015). European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f
mean_population_density_5km_year2015
mean human population density value within a radius of 5 km around station location of the year 2015. A grid with 9 arcsec resolution is used.
Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4.10 were disaggregated from census or administrative units to grid cells, informed by the distribution and density of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch. Detailed information can be found in https://ghsl.jrc.ec.europa.eu/documents/GHSL_Data_Package_2019.pdf?t=1478q532234372
citation:
Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS-POP R2019A - GHS population grid multitemporal (1975-1990-2000-2015). European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/0C6B9751-A71F-4062-830B-43C9F432370F PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f
The European Commission, Joint Research Centre: https://ghsl.jrc.ec.europa.eu/ghs_pop2019.php
max_population_density_25km_year2015
Year 2015 maximum population density within a radius of 25 km around station location.
A grid with 30 arcsec resolution is used, the original_units are inhabitants_per_gridcell
mean_population_density_250m_year1990
human population on a square of 250 m for the year 1990 (residents km-2) according to The European Commission, Joint Research Centre (EC JRC), data source: https://ghsl.jrc.ec.europa.eu/ghs_pop2019.php
data_source: The European Commission, Joint Research Centre,
data_url: https://ghsl.jrc.ec.europa.eu/ghs_pop2019.php
citation:
Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS-POP R2019A - GHS population grid multitemporal (1975-1990-2000-2015). European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f
mean_population_density_5km_year1990
human population mean value within a radius of 5 km around station location of the year 1990. A grid with 9 arcsec resolution is used.
citation:
Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2019): GHS-POP R2019A - GHS population grid multitemporal (1975-1990-2000-2015). European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/0C6B9751-A71F-4062-830B-43C9F432370F PID: http://data.europa.eu/89h/0c6b9751-a71f-4062-830b-43c9f432370f
max_population_density_25km_year1990
Year 1990 maximum population density within a radius of 25 km around station location. A grid with 30 arcsec resolution is used, the original_units are inhabitants_per_gridcell
data_source: https://atmosphere.copernicus.eu/sites/default/files/2019-06/cams_emissions_general_document_apr2019_v7.pdf,
data_url: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-emission-inventories?tab=overview
citation:
Granier, C., S. Darras, H. Denier van der Gon, J. Doubalova, N. Elguindi, B. Galle, M. Gauss, M. Guevara, J.-P. Jalkanen, J. Kuenen, C. Liousse, B. Quack, D. Simpson, K. Sindelarova The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version) Report April 2019 version null 2019
mean_nox_emissions_10km_year2015
EDGAR emissions inventory for nitrogen oxides (NOx) at 0.1° resolution (Reference: Janssens-Maenhout et al., 2015: http://edgar.jrc.ec.europa.eu/htap_v2/index.php?SECURE=123)
mean value within a radius of 10 km around station location of the year 2015
data_source: https://atmosphere.copernicus.eu/sites/default/files/2019-06/cams_emissions_general_document_apr2019_v7.pdf,
data_url: https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-emission-inventories?tab=overview
citation:
Granier, C., S. Darras, H. Denier van der Gon, J. Doubalova, N. Elguindi, B. Galle, M. Gauss, M. Guevara, J.-P. Jalkanen, J. Kuenen, C. Liousse, B. Quack, D. Simpson, K. Sindelarova The Copernicus Atmosphere Monitoring Service global and regional emissions (April 2019 version) Report April 2019 version null 2019
mean_nox_emissions_10km_year1990
EDGAR emissions inventory for nitrogen oxides (NOx) at 0.1° resolution (Reference: Janssens-Maenhout et al., 1990: http://edgar.jrc.ec.europa.eu/htap_v2/index.php?SECURE=123)
mean value within a radius of 10 km around station location of the year 1990
no wheat production metadata stored yet
wheat_production_year2000
Wheat production year2000. Y2000 wheat production amount at station location (units: thousand tons). (Reference: Dataset: http://www.fao.org/faostat/en/#data/QCL)
no rice production metadata stored yet
rice_production_year2000
Y2000 rice production amount at station location (units: thousand tons) (Reference: Dataset: http://www.fao.org/faostat/en/#data/QCL)
no OMI NO2 column metadata stored yet
omi_no2_column_years2011to2015
N. A. Krotkov et al.: Aura OMI observations of regional SO2 and NO2 pollution changes; Atmos. Chem. Phys., 16, 4605–4629, 2016; www.atmos-chem-phys.net/16/4605/2016/
"The OMI standard NO2 product (OMNO2 v2.1) is publicly available from the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) at http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI/omno2_v003.shtml."
Average Y2011-Y2015 tropospheric NO2 columns from OMI at 0.1 degree resolution in units of 10^15 molecules cm-2 (Reference: Krotkov et al., 2016: (no public download))
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#station-toar-category
toar1_category
The station classification for the Tropsopheric Ozone Assessment Report based on the station proxy data that are stored in the TOAR V1 database (see controlled vocabulary: Station TOAR Category)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#role-code
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
role
Role of contact (see controlled vocabulary: Role Code)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#role-status
status
Status of contact (see controlled vocabulary: Role Status)
contact
person
data for person of the contact information
organisation
data for organisation of the contact information
name
Short name (abbreviation) of organisation
longname
Long name of organisation
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#kind-of-organization
kind
Kind of organisation (see controlled vocabulary: Kind Of Organization)
city
City where organisation resides
postcode
Postcode of organisation city
street_address
Street address of organisation city
homepage
Homepage of organisation
Homepage of organisation (URL)
name
Name of person
email
Email address of person
phone
Phone number of person
orcid
ORCID-iD of person
isprivate
Set this flag to true if the contact details shall not be exposed publicly
datetime
date and time of observation or numerical model output
value
variable value at datetime
timeseries_id
internal ID of timeseries
version
version identifier (type string)
name
Station name for use in TOAR; normally equal to name given by the data provider
codes
list of station's codes (identifiers)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#station-coordinate-validity
coordinate_validation_status
Flag indicating whether the location of a station has been verified (see controlled vocabulary: Station Coordinate Validity)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#country-code
country
The country, where the station resides, or which operates the station (e.g. in Antarctica) (see controlled vocabulary: Country Code)
state
The state or province, where the station resides
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#station-type
type_of_environment
Type of station (see controlled vocabulary: Station Type)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#station-type-of-area
type_of_area
Type of station area (see controlled vocabulary: Station Type Of Area)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#timezone
timezone
Station timezone (see controlled vocabulary: Timezone)
additional_metadata
Any additional metadata about the station as a JSON data structure
Timeseries
metadata of a time series
is used by the data processing workkflow to uniquely identify a time series
label
a short string to distinguish this time series from others with the same combination of station and variable
order
indicates position of this time series in a list when several time series share the same station and variable combination
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#sampling-frequency
sampling_frequency
Sampling frequency of data in this time series (see controlled vocabulary: Sampling Frequency)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#aggregation-type
aggregation
Aggregation type in this time series (see controlled vocabulary: Aggregation Type)
data_start_date
Start date of the variable data available for this station
data_end_date
End date of the variable data available for this station
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#data-origin
data_origin
origin of data (model name or instrument) (see controlled vocabulary: Data Origin)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#data-origin-type
data_origin_type
type of data origin (see controlled vocabulary: Data Origin Type)
version
provider data version
data_license_accepted
date when provider accepted the data license agreement
sampling_height
Height above the ground of the inlet/instrument/sampler (in m)
additional_metadata
Any additional metadata about the time series as a JSON data structure
Variable
metadata of ground-level air pollutants and meteorological quantities
programme
scientific programme the time series is part of
annotations
annotations of a time series
changelog
Protocol of changes in a time series
time series changelog
datetime
Date and time of change to the TOAR database
description
Description of change
old_value
value before the change in the TOAR database
new_value
new, changed value
author_id
internal ID of person who submitted the change to the TOAR database
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#type-of-change
type_of_change
Type of change (see controlled vocabulary: Type Of Change)
period_start
for changes on data: start date from which changes were applied
period_end
for changes on data: end date to which changes were applied
version
version that results from this change
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#kind-of-annotation
kind
kind of annotation (see controlled vocabulary: Kind Of Annotation)
text
text of annotation
date_added
timestamp when annotation was added
approved
Flag indicating whether the annotation of a time series has been verified
contributor_id
ID of contributor who added the annotation
name
(Short) name of programme
longname
(Long) name of programme
homepage
Homepage (URL) of programme
description
Description of programme
longname
Long (explicit) name of the variable
Display name of the variable
displayname
https://cfconventions.org/Data/cf-standard-names/current/build/cf-standard-name-table.html
cf_standardname
CF standard name of the variable if defined
units
Physical units of variable; the SI (International System of Units) units for the quantity
chemical_formula
Chemical formula of variable (if applicable)
name
Short variable-like name of the variable
lat
latitude coordinate of station (decimal degrees_east). This is our best estimate of the station location which is not always identical to the official station coordinates (see potential changelog entry).
lng
longitude coordinate of station (decimal degrees_north). This is our best estimate of the station location which is not always identical to the official station coordinates (see potential changelog entry).
alt
altitude of station (in m above sea level). This is our best estimate of the station altitude, which is not always identical to the reported station altitude, but frequently uses the elevation from google earth instead (see potential changelog entry).
timeseries_id
TOAR database internal ID of the time series
station_id
TOAR database internal ID of the station
roles
Roles
variables_id
TOAR database internal ID of the variable
station_id
TOAR-II database internal station identifier
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#country-code
country
Country to which organisation belongs (see controlled vocabulary: Country Code)
contact
organisation
data for organisation of the contact information
person
data for person of the contact information
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#role-code
role
Role of contact (see controlled vocabulary: Role Code)
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#role-status
status
Status of contact (see controlled vocabulary: Role Status)
city
City where organisation resides
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#country-code
country
Country to which organisation belongs (see controlled vocabulary: Country Code)
homepage
Homepage of organisation
https://esde.pages.jsc.fz-juelich.de/toar-data/toardb_fastapi/docs/toardb_fastapi.html#kind-of-organization
kind
Kind of organisation (see controlled vocabulary: Kind Of Organization)
longname
Long name of organisation
name
Short name (abbreviation) of organisation
postcode
Postcode of organisation city
street_address
Street address of organisation city
email
Email address of person
isprivate
Set this flag to true if the contact details shall not be exposed publicly
name
name of person
orcid
ORCID-iD of person
phone
phone number of person
sampling_type
Describes the sampling mode of the measurement device (see controlled vocabulary: Sampling Type)
Sampling_type
instrument_manufacturer
the name of the company that build the measurement device
Instrument_manufacturer
instrument_model
the model or type identifier of the instrument
Instrument_model
calibration_type
element to describe the calibration: automated or manual calibration (see controlled vocabulary: Calibration Type)
Calibration_type
calibration_frequency
The calibration frequency in case the calibration occurs regularly
Example: 7 days
Calibration_frequency
calibration_description
the calibration procedure, including a reference to the calibration scale – as long as it fits into one line.
Example: CNRS reference photometer, traced to NIST, weekly calibration
Calibration_description
absorption_cross_section
consensus value for the ozone absorption cross section (see controlled vocabulary: Absorption Cross Section)
(applies to ozone measurements only)
Absorption_cross_section
AegeanandWesternTurkeysclerophyllousandmixedforests
785 (Aegean and Western Turkey sclerophyllous and mixed forests)
AfghanMountainssemidesert
807 (Afghan Mountains semi-desert)
AhklunandKilbuckUplandTundra
404 (Ahklun and Kilbuck Upland Tundra)
AlHajarfoothillxericwoodlandsandshrublands
722 (Al-Hajar foothill xeric woodlands and shrublands)
AlHajarmontanewoodlandsandshrublands
723 (Al-Hajar montane woodlands and shrublands)
AlaiWesternTianShansteppe
721 (Alai-Western Tian Shan steppe)
AlashanPlateausemidesert
808 (Alashan Plateau semi-desert)
AlaskaPeninsulamontanetaiga
369 (Alaska Peninsula montane taiga)
Albanythickets
88 (Albany thickets)
AlbertaBritishColumbiafoothillsforests
345 (Alberta-British Columbia foothills forests)
AlleghenyHighlandsforests
328 (Allegheny Highlands forests)
Alpsconiferandmixedforests
689 (Alps conifer and mixed forests)
AmazonOrinocoSouthernCaribbeanmangroves
611 (Amazon-Orinoco-Southern Caribbean mangroves)
AmsterdamSaintPaulIslandstemperategrasslands
67 (Amsterdam-Saint Paul Islands temperate grasslands)
true
false
surface_albedo / canopy_albedo
unit: %
https://cfconventions.org/Data/cf-standard-names/77/src/cf-standard-name-table.xml
albedo
surface_albedo
Albedo is the ratio of outgoing to incoming shortwave irradiance, where 'shortwave irradiance' means that both the incoming and outgoing radiation are integrated across the solar spectrum. "Canopy" means the vegetative covering over a surface. The canopy is often considered to be the outer surfaces of the vegetation. Plant height and the distribution, orientation and shape of plant leaves within a canopy influence the atmospheric environment and many plant processes within the canopy. Reference: AMS Glossary http://glossary.ametsoc.org/wiki/Canopy. The surface_albedo restricted to the area type "vegetation" is related to canopy_albedo, but the former also includes the effect of radiation being reflected from the ground underneath the canopy.
"shortwave" means shortwave radiation. "Upward" indicates a vector component which is positive when directed upward (negative downward).
unit: W m-2
aswdifu
averaged diffuse upward sw radiation at the surface
unit: W m-2
aswdir
surface_downwelling_shortwave_flux_in_air
Downwelling radiation is radiation from above. It does not mean "net downward". The sign convention is that "upwelling" is positive upwards and "downwelling" is positive downwards. The term "shortwave" means shortwave radiation. When thought of as being incident on a surface, a radiative flux is sometimes called "irradiance". In addition, it is identical with the quantity measured by a cosine-collector light-meter and sometimes called "vector irradiance". In accordance with common usage in geophysical disciplines, "flux" implies per unit area, called "flux density" in physics.
Black carbon aerosol is composed of elemental carbon. It is strongly light absorbing.
unit: nmol mol-1
bc
black carbon
mass_concentration_of_elemental_carbon_dry_aerosol_particles_in_air
unit: nmol mol-1
benzene
mole_fraction_of_benzene_in_air
mole_fraction_of_benzene_in_air
unit: nmol mol-1
ch4
mole_fraction_of_methane_in_air
unit: %
cloudcover
cloud_area_fraction
unit: nmol mol-1
co
mole_fraction_of_carbon_monoxide_in_air
unit: nmol mol-1
ethane
Ethane
unit: g kg-1
humidity
specific_humidity
When thought of as being incident on a surface, a radiative flux is called "irradiance".
unit: W m-2
irradiance
global surface irradiance
unit: nmol mol-1
xylene is a generic term for a group of three isomers of dimethylbenzene: m-xylene, p-xylene, and o-xylene
M-xylene is a xylene carrying methyl groups at positions 1 and 3.
P-xylene is a xylene with methyl groups at positions 1 and 4.
mpxylene
m,p-Xylene
unit: nmol mol-1
no
mole_fraction_of_nitrogen_monoxide_in_air
unit: nmol mol-1
no2
mole_fraction_of_nitrogen_dioxide_in_air
unit: nmol mol-1
nox
mole_fraction_of_nox_expressed_as_nitrogen_in_air
unit: nmol mol-1
o3
mole_fraction_of_ozone_in_air
unit: nmol mol-1
ox
Ox
unit: nmol mol-1
oxylene
o-xylene
unit: m
pblheight
atmosphere_boundary_layer_thickness
unit: μg m-3
pm1
mass_concentration_of_pm1_ambient_aerosol_in_air
unit: μg m-3
pm10
mass_concentration_of_pm10_ambient_aerosol_in_air
unit: μg m-3
pm2p5
mass_concentration_of_pm2p5_ambient_aerosol_in_air
unit: hPa
press
air_pressure
unit: nmol mol-1
propane
mole_fraction_of_propane_in_air
unit: %
relhum
relative_humidity
unit: mBq m-3
rn
radon
unit: nmol mol-1
so2
mole_fraction_of_sulfur_dioxide_in_air
unit: degC
temp
air_temperature
unit: nmol mol-1
toluene
mole_fraction_of_toluene_in_air
unit: kg m-2
totprecip
precipitation_amount
u-component (zonal) of wind
unit: m s-1
u
x_wind
unit: m s-1
v-component (meridional) of wind
v
y_wind
unit: degree
wdir
wind_from_direction
unit: m s-1
wspeed
wind_speed
http://dd.eionet.europa.eu/vocabulary/aq/areaclassification/view
Suburban
Largely built-up urban area. ‘Largely built-up’ means contiguous settlement of detached buildings of any size with a building density less than for ‘continuously built-up’ area. The built-up area is mixed with non-urbanised areas (e.g. agricultural, lakes, woods). It must also be noted that ‘suburban’ as defined here has a different meaning than in every day English i.e. ‘an outlying part of a city or town’ suggesting that a suburban area is always associated to an urban area. In our context, a suburban area can be suburban on its own without any urban part.
http://dd.eionet.europa.eu/vocabulary/aq/areaclassification/view
Rural
All areas, that do not fulfil the criteria for urban or suburban areas,
are defined as "rural" areas. There are three subdivisions in this
category to indicate the distance to the nearest built-up urban area:
Rural – near city:
area within 10 km from the border of an urban or suburban
area;
Rural – regional:
10-50 km from major sources/source areas;
Rural – remote:
> 50 km from major sources/source areas.
http://dd.eionet.europa.eu/vocabulary/aq/stationclassification
Traffic
Located in close proximity to a single major road.
http://dd.eionet.europa.eu/vocabulary/aq/stationclassification
Industrial
Located in close proximity to a single industrial source or industrial area.
A wide range of industrial sources can be considered here, including
thermal power generation
district heating plants
refineries
waste incineration/treatment plants, dump sites
mining, including gravel, oil, natural gas
airports
ports.
http://dd.eionet.europa.eu/vocabulary/aq/stationclassification
Background
Any location with is neither to be classified as “traffic” or “industrial”. Located such that its pollution levels are representative of the average exposure of the general population (or vegetation and natural ecosystems) within the type of area under assessment. The pollution level should not be dominated by a single source type (e.g. traffic), unless that source type is typical within the area under assessment. The station should usually be representative of a wider area of at least several square kilometres.
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
PointOfContact
Party who can be contacted for acquiring knowledge about or acquisition of the resource
point of contact
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
PrincipalInvestigator
Key party responsible for gathering information and conducting research. This is the person who is responsible for making the measurements and securing the quality of the data. In general, there should be exactly one PrincipalInvestigator associated with every measurement and (a possibly different person) associated with a station. The PrincipalInvestigator may delegate responsibilities, for example to technicians or postdoctoral researchers, and yet remain PrincipalInvestigator as the person overseeing the measurements and data distribution.
principal investigator
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
Originator
Party who created the resource. We use this role primarily for government data, where PrincipalInvestigators are usually not defined.
originator
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
Contributor
Party contributing to the resource. This role applies to any person who is involved in making the measurements or processing the data. Normally, the PrincipalInvestigator will decide who shall be listed as contributor.
contributor
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
Collaborator
Party who assists with the generation of the resource other than the principal investigator. This can be a person who has been involved in making the measurements or processing the data, but who is either not part of the institution responsible for the measurement or who has “contributed” only temporarily. One situation we have encountered in TOAR, where nomination of collaborators makes sense is when university researchers assist government agencies in preparing their data for submission to the TOAR database.
collaborator
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
ResourceProvider
Party that supplies the resource. This role is assigned to government data obtained indirectly. For example, the data of the European Airbase originates from national environmental agencies, but the European Environmental Agency acts as ResourceProvider.
resource provider
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
Custodian
Party that accepts accountability and responsibility for the resource and ensures appropriate care and maintenance of the resource. This describes our responsibilities as TOAR data centre team.
custodian
Created
the data record has been created
SingleValue
Comprehensive
comprehensive (meta)data revision
Typo
typographical error corrected
UnspecifiedData
unspecified metadata corrections
Replaced
replaced data with a new version
Flagging
data value flagging with flag value according to the WMO code 0 33 020 for data quality
Hourly
one data sample every hour
ThreeHourly
one data sample every three hours
SixHourly
one data sample every six hours
Daily
one data sample every day
Weekly
one data sample every week
Monthly
one data sample every month
Yearly
one data sample every year
Irregular
irregular data samples of constant length
Irregular2
irregular data samples of varying length
Mean
arithmetic mean
MeanOf2
mean of two values
MeanOfWeek
weekly mean
MeanOf4Samples
mean out of 4 samples
MeanOfMonth
monthly mean
None
no aggregation
value stored in the database, can be used in queries
OKValidatedVerified
Data was received from provider as final validated data and passed the automatic quality control tests of the TOAR data centre. In addition, the data was subjected to manual inspection of the data summary plots.
value stored in the database, can be used in queries
OKValidatedQCPassed
Data was received from provider as final validated data and passed the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
OKValidatedModified
Data was received from provider as final validated data and did not pass the automatic quality control tests of the TOAR data centre in the first pass. The data value was changed according to feedback from the data provider or if an obvious correction was possible.
value stored in the database, can be used in queries
OKPreliminaryVerified
Data was received from provider as preliminary or near realtime data and passed the automatic quality control tests of the TOAR data centre. In addition, the data was subjected to manual inspection of the data summary plots.
value stored in the database, can be used in queries
OKPreliminaryQCPassed
Data was received from provider as preliminary or near realtime data and passed the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
OKPreliminaryModified
Data was received from provider as preliminary or near realtime data and did not pass the automatic quality control tests of the TOAR data centre in the first pass. The data value was changed according to feedback from the data provider or if an obvious correction was possible.
value stored in the database, can be used in queries
OKEstimated
Data value derived from an interpolation or modelling tool to fill a data gap. Note: you will never find this flag value in any “original” time series, but the name of the time series will indicate clearly if it contains estimated values. Some statistics may be more reliable if they are based on complete time series and thus avoid sampling biases.
value stored in the database, can be used in queries
OKPreliminaryNotChecked
Data was received from provider as preliminary or near realtime data and no QC test was run, for example because of an incomplete time series.
value stored in the database, can be used in queries
QuestionableValidatedConfirmed
Data was received from provider as final validated data with a quality flag indicating potential problems with the data value. The data value was also flagged as suspicious by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionableValidatedUnconfirmed
Data was received from provider as final validated data with a quality flag indicating potential problems with the data value. However, the data value was not flagged as suspicious by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionableValidatedFlagged
Data was received from provider as final validated data with no indication of potential problems. However, the data value was flagged as suspicious by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionablePreliminaryConfirmed
Data was received from provider as preliminary or near realtime data with a quality flag indicating potential problems with the data value. The data value was also flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionablePreliminaryUnconfirmed
Data was received from provider as preliminary or near realtime data with a quality flag indicating potential problems with the data value. However, the data value was not flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionablePreliminaryFlagged
Data was received from provider as preliminary or near realtime data with no indication of potential problems. However, the data value was flagged as suspicious by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
QuestionablePreliminaryNotChecked
Data was received from provider as preliminary or near realtime data with a quality flag indicating potential problems with the data value. No QC test was run, for example because of an incomplete time series.
value stored in the database, can be used in queries
ErroneousValidatedConfirmed
Data was received from provider as final validated data with a quality flag indicating an erroneous data value. The data value was also flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousValidatedUnconfirmed
Data was received from provider as final validated data with a quality flag indicating an erroneous data value. However, the data value was not flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousValidatedFlagged1
Data was received from provider as final validated data with no indication of potential problems. However, the data value was flagged as erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousValidatedFlagged2
Data was received from provider as final validated data flagged as questionable values. However, the data value was flagged as erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousPreliminaryConfirmed
Data was received from provider as preliminary or near realtime data with a quality flag indicating an erroneous data value. The data value was also flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousPreliminaryUnconfirmed
Data was received from provider as preliminary or near realtime data with a quality flag indicating an erroneous data value. However, the data value was not flagged as suspicious or erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousPreliminaryFlagged1
Preliminary or near realtime data was received from provider with no indication of potential problems. However, the data value was flagged as erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousPreliminaryFlagged2
Data was received from provider as preliminary or near realtime data flagged as questionable. However, the data value was flagged as erroneous by the automatic quality control tests of the TOAR data centre.
value stored in the database, can be used in queries
ErroneousPreliminaryNotChecked
Data was received from provider as preliminary or near realtime data with a quality flag indicating an erroneous data value. No QC test was run, for example because of an incomplete time series.
value stored in the database, can be used in queries
MissingValue
The data provider reported a missing value at this time stamp. Generally, the TOAR database will not explicitly store missing values but instead simply leave out the data value at that timestamp. However, there are situations when missing values are coded in the time series, for example if a new version of a dataset replaces formerly valid values by missing values.
value stored in the database, can be used in queries
UnknownQualityStatus
Also known as „not checked“. Technical flag to allow setting a quality status to unknown. The data provider did not report the data quality status and no QC test was run, for example because of an incomplete time series. This flag value can only be seen for realtime data, because all validated data are assumed to be OK by default.
aggregated data quality flag for use in database requests through the API
AllOK
Data values were deemed OK by the provider and the TOAR quality control tool did not find any obvious errors.
Note that validated data with no explicit quality information is treated as “provider OK”, whereas preliminary data with no explicit quality information is treated as “not checked by provider”. This status also covers data values which had been erroneous at first but were corrected by the provider or based on feedback by the
provider.
aggregated data quality flag for use in database requests through the API
ValidatedOK
Data were sent by provider as validated data, data values were deemed OK by the provider and the TOAR quality control tool did not find any obvious errors.
aggregated data quality flag for use in database requests through the API
PreliminaryOK
Data were sent by provider as preliminary (or realtime) data, data values were deemed OK by the provider (usually no explicit quality information is given with realtime data) and the TOAR quality control tool did not find any obvious errors.
aggregated data quality flag for use in database requests through the API
NotModifiedOK
Similar to AllOK, but modified data values are not included.
aggregated data quality flag for use in database requests through the API
ModifiedOK
Data values had been erroneous at first but were corrected by the provider or based on feedback by the provider.
aggregated data quality flag for use in database requests through the API
AllQuestionable
Data were labelled as questionable by provider or marked as questionable by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
ValidatedQuestionable
Validated data that were labelled as questionable by provider or marked as questionable by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
PreliminaryQuestionable
Preliminary (realtime) data that were labelled as questionable by provider or marked as questionable by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
AllErroneous
Data were labelled as erroneous by provider or marked as erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
ValidatedErroneous
Validated data that were labelled as erroneous by provider or marked as erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
PreliminaryErroneous
Preliminary (realtime) data that were labelled as erroneous by provider or marked as erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
AllQuestionableOrErroneous
Data were labelled as questionable or erroneous by provider or marked as questionable or erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
ValidatedQuestionableOrErroneous
Validated data that were labelled as questionable or erroneous by provider or marked as questionable or erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
PreliminaryQuestionableOrErroneous
Preliminary (realtime) data that were labelled as questionable or erroneous by provider or marked as questionable or erroneous by the automated TOAR quality control test.
aggregated data quality flag for use in database requests through the API
NotChecked
Preliminary (realtime) data on which no automated quality control procedure has been run due to, for example, an incomplete time series. Note that a simple range check with bounds defined per variable is normally run anyhow, but this simple test cannot lead to the result “QC passed”.
Provider
annotation made by the provider
User
annotation made by the user
Comprehensive
comprehensive (meta)data revision
Created
the data record has been created
Flagging
data value flagging with flag value according to the WMO code 0 33 020 for data quality
Replaced
replaced data with a new version
SingleValue
single value correction in metadata
Typo
UnspecifiedData
unspecified data value corrections
Commercial
commercial organisation
Government
governmental organisation
Individual
a private person
International
international organisation
NonProfit
non-profit organisation
Other
Research
research organisation
University
Active
the person is still in this role at the institution, she is the contact person
Inactive
the person no longer has this role but might be reachable
Unknown
unknown aggregation type
unknown status
Urban
BorealDry
10 (Boreal Dry)
subarctic region with little rain:
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 0 and
All Months Average <= 10 and
MAP PET <= 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
boreal dry
BorealMoist
9 (Boreal Moist)
subarctic region with much rain:
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 0 and
All Months Average <= 10 and
MAP PET > 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
boreal moist
CoolTemperateDry
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 10 and
MAT > 0 and
MAP/PET <= 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
8 (Cool Temperate Dry)
cool temperate dry
CoolTemperateMoist
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 10 and
MAT > 0 and
MAP/PET > 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
7 (Cool Temperate Moist)
cool temperate moist
PolarDry
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 0 and
All Months Average < 10 and
MAP/PET <= 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
12 (Polar Dry)
polar dry
PolarMoist
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 0 and
All Months Average < 10 and
MAP/PET > 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
11 (Polar Moist)
polar moist
TropicalDry
(MAT > 18 and = 7 days of frost/year) and
Elevation <= 1000m and
MAP <= 1000mm
MAT - Mean Annual Temperature
MAP - Mean Annual Precipitation
4 (Tropical Dry)
tropical dry
TropicalMoist
(MAT > 18 and = 7 days of frost/year) and
Elevation <= 1000m and
MAP <= 2000mm and
MAP > 1000mm
MAT - Mean Annual Temperature
MAP - Mean Annual Precipitation
3 (Tropical Moist)
tropical moist
TropicalMontane
(MAT > 18 and = 7 days of frost/year) and
Elevation > 1000m
MAT - Mean Annual Temperature
1 (Tropical Montane)
tropical montane
TropicalWet
(MAT > 18 and = 7 days of frost/year) and
Elevation <= 1000m and
MAP > 2000mm
MAT - Mean Annual Temperature
MAP - Mean Annual Precipitation
2 (Tropical Wet)
tropical wet
WarmTemperateDry
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 10 and
MAP/PET <= 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
6 (Warm Temperate Dry)
warm temperate dry
warm temperate dry
WarmTemperateMoist
(MAT <= 18 or not= 7 days of frost/year) and
MAT <= 10 and
MAP/PET > 1
MAT - Mean Annual Temperature
MAP/PET - Mean Annual Precipitation to Potential EvapoTranspiration ratio
5 (Warm Temperate Moist)
warm temperate moist
Unclassified
0 (Unclassified)
Has not received a map label because of missing inputs
unclassified
Undefined
-1 (Undefined)
undefined climatic zone
undefined
Doubtful
the coordinates are questionable
Plausible
the station coordinates are plausible
Unverifyable
no method found to verify the coordinates
Verified
Verified by google earth or other means.
NotChecked
not checked (default value)
Barren
16 (Barren or sparsely vegetated)
Lands with exposed soil, sand, rocks, or snow and never have more than 10% vegetated cover during any time of the year
barren
ClosedShrublands
6 (Closed shrublands)
Lands with woody vegetation less than 2 m tall and with shrub canopy cover >60%. The shrub foliage can be either evergreen or deciduous
closed shrublands
Croplands
12 (Croplands)
Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type
croplands
DCBroadleaf
4 (Deciduous Broadleaf forests)
Deciduous Broadleaf forest: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 m. Consists of broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods
Deciduous Broadleaf forests
DCNeedleleaf
3 (Deciduous Needleleaf forests)
Deciduous Needleleaf forest: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 m. Consists of seasonal needleleaf tree communities with an annual cycle of leaf-on and leaf-off periods
Deciduous Needleleaf forests
EGBroadleaf
2 (Evergreen Broadleaf forests)
Evergreen Broadleaf forest: Lands dominated by broadleaf woody vegetation with a percent cover >60% and height exceeding 2 m. Almost all trees and shrubs remain green year round. Canopy is never without green foliage
Evergreen Broadleaf forests
EGNeedleleaf
1 (Evergreen Needleleaf forests)
Evergreen Needleleaf forest: Lands dominated by needleleaf woody vegetation with a percent cover >60% and height exceeding 2 m. Almost all trees remain green all year. Canopy is never without green foliage
Evergreen Needleleaf forests
Fill
255 (Fill Value/Unclassified)
Fill Value/Unclassified
Grasslands
10 (Grasslands)
Lands with herbaceous types of cover. Tree and shrub cover is less than 10%
grasslands
MixedForests
5 (Mixed forests)
Lands dominated by trees with a percent cover >60% and height exceeding 2 m. Consists of tree communities with interspersed mixtures or mosaics of the other four forest types. None of the forest types exceeds 60% of landscape
Mixed forests
Mosaic
14 (Cropland/Natural vegetation mosaic)
Cropland/Natural vegetation mosaic: Lands with a mosaic of croplands, forests, shrubland, and grasslands in which no one component comprises more than 60% of the landscape
Cropland/Natural vegetation mosaics
OpenShrublands
7 (Open shrublands)
Lands with woody vegetation less than 2 m tall and with shrub canopy cover between 10% and 60%. The shrub foliage can be either evergreen or deciduous
Open shrublands
Savannas
9 (Savannas)
Lands with herbaceous and other understory systems, and with forest canopy cover between 10% and 30%. The forest cover height exceeds 2 m
Savannas
Snow
15 (Snow and ice)
Permanent Snow and Ice: At least 60% of area is covered by snow and ice for at least 10 months of the year.
Snow and ice
Undefined
-1 (undefined)
not yet set
undefined
Urban
13 (Urban and built-up)
station_population_density >= 15000 and
station_nightlight_1km >= 60 and
station_max_nightlight_25km == 63
Urban and built-up
Water
0 (Water)
Water bodies: Oceans, seas, lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies
Water bodies
Wetlands
11 (Permanent wetlands)
Permanent wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present either in salt, brackish, or fresh water.
Permanent wetlands
WoodySavannas
8 (Woody savannas)
Lands with herbaceous and other understory systems, and with forest canopy cover between 30% and 60%. The forest cover height exceeds 2 m
Woody savannas
HTAPTier1CAS
15 (CAS Central Asia)
CAS Central Asia
HTAPTier1EAS
6 (EAS East Asia: China, Korea, Japan)
EAS East Asia: China, Korea, Japan
HTAPTier1EUR
4 (EUR Western + Eastern EU+Turkey (upto 66 N polar circle))
EUR Western + Eastern EU+Turkey (upto 66 N polar circle)
HTAPTier1MCA
12 (MCA Mexico, Central America, Caribbean, Guyanas, Venezuela, Columbia)
MCA Mexico, Central America, Caribbean, Guyanas, Venezuela, Columbia
HTAPTier1MDE
11 (MDE Middle East: S. Arabia, Oman, etc, Iran, Iraq)
MDE Middle East: S. Arabia, Oman, etc, Iran, Iraq
HTAPTier1NAF
9 (NAF Northern Africa+Sahara+Sahel)
NAF Northern Africa+Sahara+Sahel
HTAPTier1NAM
3 (NAM US+Canada (upto 66 N; polar circle))
NAM US+Canada (upto 66 N; polar circle)
HTAPTier1NPO
16 (NPO Arctic Circle (North of 66 N) + Greenland)
NPO Arctic Circle (North of 66 N) + Greenland
HTAPTier1OCN
2 (OCN Non-arctic/Antarctic Ocean)
OCN Non-arctic/Antarctic Ocean
HTAPTier1PAN
8 (PAN Pacific, Australia+ New Zealand)
PAN Pacific, Australia+ New Zealand
HTAPTier1RBU
14 (RBU Russia, Belarussia, Ukraine)
RBU Russia, Belarussia, Ukraine
HTAPTier1SAF
10 (SAF Sub Saharan/sub Sahel Africa)
SAF Sub Saharan/sub Sahel Africa
HTAPTier1SAM
13 (SAM S. America)
SAM S. America
HTAPTier1SAS
5 (SAS South Asia: India, Nepal, Pakistan, Afghanistan, Bangadesh, Sri Lanka)
SAS South Asia: India, Nepal, Pakistan, Afghanistan, Bangadesh, Sri Lanka
HTAPTier1SEA
7 (SEA South East Asia)
SEA South East Asia
HTAPTier1SPO
17 (SPO Antarctic)
SPO Antarctic
HTAPTier1Undefined
-1 (undefined)
undefined
HTAPTier1World
1 (World)
World
RuralHighElevation
station_omi_no2_column <= 8 and
station_nightlight_5km <= 25 and
station_population_density <= 3000 and
(station_google_alt > 1500 or (station_google_alt > 800 and station_etopo_relative_alt < 500))
rural high elevation
Note that this scheme may not catch all sites that are designated as rural. It will, however, provide a selection with reasonable certainty that no urban sites are included.
RuralLowElevation
station_omi_no2_column <= 8 and
station_nightlight_5km <= 25 and
station_population_density <= 3000 and
station_max_population_density_5km <= 30000 and
station_google_alt <= 1500 and
station_etopo_relative_alt < 500
rural low elevation
Unclassified
no classification given
unclassified
Unknown
unknown TOAR-1 category
unknown
Urban and built-up lands: Land covered by buildings and other man-made structures
Urban
is defined as:
station_population_density >= 15000 and
station_nightlight_1km >= 60 and
station_max_nightlight_25km == 63
urban
Unknown
Unknown
COSMOREA6
The high-resolution reanalysis system COSMO-REA6 has been developed based on the NWP model COSMO. The regional reanalysis system for Continental Europe matches the domain of the CORDEX EURO-11 specifications, albeit at a higher spatial resolution, i.e., 0.055° (6 km) instead of 0.11° (12 km).
The data is prepared by
Hans-Ertel-Centre for Weather Research • Climate Monitoring and Diagnostics (Universities Bonn and Cologne)
and
German Meteorological Service (DWD)
https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5
ERA5
ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate covering the period from January 1950 to present. ERA5 is produced by the Copernicus Climate Change Service (C3S) at ECMWF.
Instrument
the measurement has been done with an instrument
Measurement
the value has been measured
Model
the value is the result of a model run
AF
Afghanistan
AX
Ã
land Islands
AL
Albania
DZ
Algeria
AS
American Samoa
AD
Andorra
AO
Angola
AI
Anguilla
AQ
Antarctica
AG
Antigua and Barbuda
AR
Argentina
AM
Armenia
AW
Aruba
AU
Australia
AT
Austria
AZ
Azerbaijan
BS
Bahamas
BH
Bahrain
BD
Bangladesh
BB
Barbados
BY
Belarus
BE
Belgium
BZ
Belize
BJ
Benin
BM
Bermuda
BT
Bhutan
BO
Plurinational State of Bolivia
BQ
Bonair
BA
Bosnia and Herzegovina
BW
Botswana
BV
Bouvet Island
BR
Brazil
IO
British Indian Ocean Territory
UM
United States Minor Outlying Islands
VG
British Virgin Islands
VI
U.S. Virgin Islands
BN
Brunei Darussalam
BG
Bulgaria
BF
Burkina Faso
BI
Burundi
KH
Cambodia
CM
Cameroon
CA
Canada
CV
Cabo Verde
KY
Cayman Islands
CF
Central African Republic
TD
Chad
CL
Chile
CN
China
CX
Christmas Island
CC
Cocos Keeling Islands
CO
Colombia
KM
Comoros
CG
Congo
CD
Democratic Republic of the Congo
CK
Cook Islands
CR
Costa Rica
HR
Croatia
CU
Cuba
CW
Curaçao
CY
Cyprus
CZ
Czech Republic
DK
Denmark
DJ
Djibouti
DM
Dominica
DO
Dominican Republic
EC
Ecuador
EG
Egypt
SV
El Salvador
GQ
Equatorial Guinea
ER
Eritrea
EE
Estonia
ET
Ethiopia
FK
Falkland Islands Malvinas
FO
Faroe Islands
FJ
Fiji
FI
Finland
FR
France
GF
French Guiana
PF
French Polynesia
TF
French Southern Territories
GA
Gabon
GM
Gambia
GE
Georgia
DE
Germany
GH
Ghana
GI
Gibraltar
GR
Greece
GL
Greenland
GD
Grenada
GP
Guadeloupe
GU
Guam
GT
Guatemala
GG
Guernsey
GN
Guinea
GW
Guinea-Bissau
GY
Guyana
HT
Haiti
HM
Heard Island and McDonald Islands
VA
Holy See
HN
Honduras
HK
Hong Kong
HU
Hungary
IS
Iceland
IN
India
ID
Indonesia
CI
Côte d'Ivoire
IR
Islamic Republic of Iran
IQ
Iraq
IE
Ireland
IM
Isle of Man
Unknown
unknown aggregation type
IL
Israel
IT
Italy
JM
Jamaica
JP
Japan
JE
Jersey
JO
Jordan
KZ
Kazakhstan
KE
Kenya
KI
Kiribati
KW
Kuwait
KG
Kyrgyzstan
LA
Lao People's Democratic Republic
LV
Latvia
LB
Lebanon
LS
Lesotho
LR
Liberia
LY
Libya
LI
Liechtenstein
LT
Lithuania
LU
Luxembourg
MO
Macao
MK
North Macedonia
MG
Madagascar
MW
Malawi
MY
Malaysia
MV
Maldives
ML
Mali
MT
Malta
MH
Marshall Islands
MQ
Martinique
MR
Mauritania
MU
Mauritius
YT
Mayotte
MX
Mexico
FM
Federated States of Micronesia
MD
Republic of Moldova
MC
Monaco
MN
Mongolia
ME
Montenegro
MS
Montserrat
MA
Morocco
MZ
Mozambique
MM
Myanmar
NA
Namibia
NR
Nauru
NP
Nepal
NL
Netherlands
NC
New Caledonia
NZ
New Zealand
NI
Nicaragua
NE
Niger
NG
Nigeria
NU
Niue
NF
Norfolk Island
KP
Democratic People's Republic of Korea
MP
Northern Mariana Islands
NO
Norway
OM
Oman
PK
Pakistan
PW
Palau
PS
State of Palestine
PA
Panama
PG
Papua New Guinea
PY
Paraguay
PE
Peru
PH
Philippines
PN
Pitcairn
PL
Poland
PT
Portugal
PR
Puerto Rico
QA
Qatar
XK
Republic of Kosovo
RE
Réunion
RO
Romania
RU
Russian Federation
RW
Rwanda
BL
Saint Barthélemy
SH
Saint Helen
KN
Saint Kitts and Nevis
LC
Saint Lucia
MF
Saint Martin French part
PM
Saint Pierre and Miquelon
VC
Saint Vincent and the Grenadines
WS
Samoa
SM
San Marino
ST
Sao Tome and Principe
SA
Saudi Arabia
SN
Senegal
RS
Serbia
SC
Seychelles
SL
Sierra Leone
SG
Singapore
SX
Sint Maarten Dutch part
SK
Slovakia
SI
Slovenia
SB
Solomon Islands
SO
Somalia
ZA
South Africa
GS
South Georgia and the South Sandwich Islands
KR
Republic of Korea
SS
South Sudan
ES
Spain
LK
Sri Lanka
SD
Sudan
SR
Suriname
SJ
Svalbard and Jan Mayen
SZ
Swaziland
SE
Sweden
CH
Switzerland
SY
Syrian Arab Republic
TW
Taiwan
TJ
Tajikistan
TZ
United Republic of Tanzania
TH
Thailand
TL
Timor-Leste
TG
Togo
TK
Tokelau
TO
Tonga
TT
Trinidad and Tobago
TN
Tunisia
TR
Turkey
TM
Turkmenistan
TC
Turks and Caicos Islands
TV
Tuvalu
UG
Uganda
UA
Ukraine
AE
United Arab Emirates
GB
United Kingdom of Great Britain and Northern Ireland
US
United States of America
UY
Uruguay
UZ
Uzbekistan
VU
Vanuatu
VE
Bolivarian Republic of Venezuela
VN
Viet Nam
WF
Wallis and Futuna
N/A
not available
YE
Yemen
ZM
Zambia
ZW
Zimbabwe
Africa/Abidjan
Africa/Abidjan
Africa/Accra
Africa/Accra
Africa/Addis_Ababa
Africa/Addis_Ababa
Africa/Algiers
Africa/Algiers
Africa/Asmara
Africa/Asmara
Africa/Asmera
Africa/Asmera
Africa/Bamako
Africa/Bamako
Africa/Bangui
Africa/Bangui
Africa/Banjul
Africa/Banjul
Africa/Bissau
Africa/Bissau
Africa/Blantyre
Africa/Blantyre
Africa/Brazzaville
Africa/Brazzaville
Africa/Bujumbura
Africa/Bujumbura
Africa/Cairo
Africa/Cairo
Africa/Casablanca
Africa/Casablanca
Africa/Ceuta
Africa/Ceuta
Africa/Conakry
Africa/Conakry
Africa/Dakar
Africa/Dakar
Africa/Dar_es_Salaam
Africa/Dar_es_Salaam
Africa/Djibouti
Africa/Djibouti
Africa/Douala
Africa/Douala
Africa/El_Aaiun
Africa/El_Aaiun
Africa/Freetown
Africa/Freetown
Africa/Gaborone
Africa/Gaborone
Africa/Harare
Africa/Harare
Africa/Johannesburg
Africa/Johannesburg
Africa/Juba
Africa/Juba
Africa/Kampala
Africa/Kampala
Africa/Khartoum
Africa/Khartoum
Africa/Kigali
Africa/Kigali
Africa/Kinshasa
Africa/Kinshasa
Africa/Lagos
Africa/Lagos
Africa/Libreville
Africa/Libreville
Africa/Lome
Africa/Lome
Africa/Luanda
Africa/Luanda
Africa/Lubumbashi
Africa/Lubumbashi
Africa/Lusaka
Africa/Lusaka
Africa/Malabo
Africa/Malabo
Africa/Maputo
Africa/Maputo
Africa/Maseru
Africa/Maseru
Africa/Mbabane
Africa/Mbabane
Africa/Mogadishu
Africa/Mogadishu
Africa/Monrovia
Africa/Monrovia
Africa/Nairobi
Africa/Nairobi
Africa/Ndjamena
Africa/Ndjamena
Africa/Niamey
Africa/Niamey
Africa/Nouakchott
Africa/Nouakchott
Africa/Ouagadougou
Africa/Ouagadougou
Africa/Porto-Novo
Africa/Porto-Novo
Africa/Sao_Tome
Africa/Sao_Tome
Africa/Timbuktu
Africa/Timbuktu
Africa/Tripoli
Africa/Tripoli
Africa/Tunis
Africa/Tunis
Africa/Windhoek
Africa/Windhoek
America/Adak
America/Adak
America/Anchorage
America/Anchorage
America/Anguilla
America/Anguilla
America/Antigua
America/Antigua
America/Araguaina
America/Araguaina
America/Argentina/Buenos_Aires
America/Argentina/Buenos_Aires
America/Argentina/Catamarca
America/Argentina/Catamarca
America/Argentina/ComodRivadavia
America/Argentina/ComodRivadavia
America/Argentina/Cordoba
America/Argentina/Cordoba
America/Argentina/Jujuy
America/Argentina/Jujuy
America/Argentina/La_Rioja
America/Argentina/La_Rioja
America/Argentina/Mendoza
America/Argentina/Mendoza
America/Argentina/Rio_Gallegos
America/Argentina/Rio_Gallegos
America/Argentina/Salta
America/Argentina/Salta
America/Argentina/San_Juan
America/Argentina/San_Juan
America/Argentina/San_Luis
America/Argentina/San_Luis
America/Argentina/Tucuman
America/Argentina/Tucuman
America/Argentina/Ushuaia
America/Argentina/Ushuaia
America/Aruba
America/Aruba
America/Asuncion
America/Asuncion
America/Atikokan
America/Atikokan
America/Atka
America/Atka
America/Bahia
America/Bahia
America/Bahia_Banderas
America/Bahia_Banderas
America/Barbados
America/Barbados
America/Belem
America/Belem
America/Belize
America/Belize
America/Blanc-Sablon
America/Blanc-Sablon
America/Boa_Vista
America/Boa_Vista
America/Bogota
America/Bogota
America/Boise
America/Boise
America/Buenos_Aires
America/Buenos_Aires
America/Cambridge_Bay
America/Cambridge_Bay
America/Campo_Grande
America/Campo_Grande
America/Cancun
America/Cancun
America/Caracas
America/Caracas
America/Catamarca
America/Catamarca
America/Cayenne
America/Cayenne
America/Cayman
America/Cayman
America/Chicago
America/Chicago
America/Chihuahua
America/Chihuahua
America/Coral_Harbour
America/Coral_Harbour
America/Cordoba
America/Cordoba
America/Costa_Rica
America/Costa_Rica
America/Creston
America/Creston
America/Cuiaba
America/Cuiaba
America/Curacao
America/Curacao
America/Danmarkshavn
America/Danmarkshavn
America/Dawson
America/Dawson
America/Dawson_Creek
America/Dawson_Creek
America/Denver
America/Denver
America/Detroit
America/Detroit
America/Dominica
America/Dominica
America/Edmonton
America/Edmonton
America/Eirunepe
America/Eirunepe
America/El_Salvador
America/El_Salvador
America/Ensenada
America/Ensenada
America/Fort_Nelson
America/Fort_Nelson
America/Fort_Wayne
America/Fort_Wayne
America/Fortaleza
America/Fortaleza
America/Glace_Bay
America/Glace_Bay
America/Godthab
America/Godthab
America/Goose_Bay
America/Goose_Bay
America/Grand_Turk
America/Grand_Turk
America/Grenada
America/Grenada
America/Guadeloupe
America/Guadeloupe
America/Guatemala
America/Guatemala
America/Guayaquil
America/Guayaquil
America/Guyana
America/Guyana
America/Halifax
America/Halifax
America/Havana
America/Havana
America/Hermosillo
America/Hermosillo
America/Indiana/Indianapolis
America/Indiana/Indianapolis
America/Indiana/Knox
America/Indiana/Knox
America/Indiana/Marengo
America/Indiana/Marengo
America/Indiana/Petersburg
America/Indiana/Petersburg
America/Indiana/Tell_City
America/Indiana/Tell_City
America/Indiana/Vevay
America/Indiana/Vevay
America/Indiana/Vincennes
America/Indiana/Vincennes
America/Indiana/Winamac
America/Indiana/Winamac
America/Indianapolis
America/Indianapolis
America/Inuvik
America/Inuvik
America/Iqaluit
America/Iqaluit
America/Jamaica
America/Jamaica
America/Jujuy
America/Jujuy
America/Juneau
America/Juneau
America/Kentucky/Louisville
America/Kentucky/Louisville
America/Kentucky/Monticello
America/Kentucky/Monticello
America/Knox_IN
America/Knox_IN
America/Kralendijk
America/Kralendijk
America/La_Paz
America/La_Paz
America/Lima
America/Lima
America/Los_Angeles
America/Los_Angeles
America/Louisville
America/Louisville
America/Lower_Princes
America/Lower_Princes
America/Maceio
America/Maceio
America/Managua
America/Managua
America/Manaus
America/Manaus
America/Marigot
America/Marigot
America/Martinique
America/Martinique
America/Matamoros
America/Matamoros
America/Mazatlan
America/Mazatlan
America/Mendoza
America/Mendoza
America/Menominee
America/Menominee
America/Merida
America/Merida
America/Metlakatla
America/Metlakatla
America/Mexico_City
America/Mexico_City
America/Miquelon
America/Miquelon
America/Moncton
America/Moncton
America/Monterrey
America/Monterrey
America/Montevideo
America/Montevideo
America/Montreal
America/Montreal
America/Montserrat
America/Montserrat
America/Nassau
America/Nassau
America/New_York
America/New_York
America/Nipigon
America/Nipigon
America/Nome
America/Nome
America/Noronha
America/Noronha
America/North_Dakota/Beulah
America/North_Dakota/Beulah
America/North_Dakota/Center
America/North_Dakota/Center
America/North_Dakota/New_Salem
America/North_Dakota/New_Salem
America/Nuuk
America/Nuuk
America/Ojinaga
America/Ojinaga
America/Panama
America/Panama
America/Pangnirtung
America/Pangnirtung
America/Paramaribo
America/Paramaribo
America/Phoenix
America/Phoenix
America/Port-au-Prince
America/Port-au-Prince
America/Port_of_Spain
America/Port_of_Spain
America/Porto_Acre
America/Porto_Acre
America/Porto_Velho
America/Porto_Velho
America/Puerto_Rico
America/Puerto_Rico
America/Punta_Arenas
America/Punta_Arenas
America/Rainy_River
America/Rainy_River
America/Rankin_Inlet
America/Rankin_Inlet
America/Recife
America/Recife
America/Regina
America/Regina
America/Resolute
America/Resolute
America/Rio_Branco
America/Rio_Branco
America/Rosario
America/Rosario
America/Santa_Isabel
America/Santa_Isabel
America/Santarem
America/Santarem
America/Santiago
America/Santiago
America/Santo_Domingo
America/Santo_Domingo
America/Sao_Paulo
America/Sao_Paulo
America/Scoresbysund
America/Scoresbysund
America/Shiprock
America/Shiprock
America/Sitka
America/Sitka
America/St_Barthelemy
America/St_Barthelemy
America/St_Johns
America/St_Johns
America/St_Kitts
America/St_Kitts
America/St_Lucia
America/St_Lucia
America/St_Thomas
America/St_Thomas
America/St_Vincent
America/St_Vincent
America/Swift_Current
America/Swift_Current
America/Tegucigalpa
America/Tegucigalpa
America/Thule
America/Thule
America/Thunder_Bay
America/Thunder_Bay
America/Tijuana
America/Tijuana
America/Toronto
America/Toronto
America/Tortola
America/Tortola
America/Vancouver
America/Vancouver
America/Virgin
America/Virgin
America/Whitehorse
America/Whitehorse
America/Winnipeg
America/Winnipeg
America/Yakutat
America/Yakutat
America/Yellowknife
America/Yellowknife
Antarctica/Casey
Antarctica/Casey
Antarctica/Davis
Antarctica/Davis
Antarctica/DumontDUrville
Antarctica/DumontDUrville
Antarctica/Macquarie
Antarctica/Macquarie
Antarctica/Mawson
Antarctica/Mawson
Antarctica/McMurdo
Antarctica/McMurdo
Antarctica/Palmer
Antarctica/Palmer
Antarctica/Rothera
Antarctica/Rothera
Antarctica/South_Pole
Antarctica/South_Pole
Antarctica/Syowa
Antarctica/Syowa
Antarctica/Troll
Antarctica/Troll
Antarctica/Vostok
Antarctica/Vostok
Arctic/Longyearbyen
Arctic/Longyearbyen
Asia/Aden
Asia/Aden
Asia/Almaty
Asia/Almaty
Asia/Amman
Asia/Amman
Asia/Anadyr
Asia/Anadyr
Asia/Aqtau
Asia/Aqtau
Asia/Aqtobe
Asia/Aqtobe
Asia/Ashgabat
Asia/Ashgabat
Asia/Ashkhabad
Asia/Ashkhabad
Asia/Atyrau
Asia/Atyrau
Asia/Baghdad
Asia/Baghdad
Asia/Bahrain
Asia/Bahrain
Asia/Baku
Asia/Baku
Asia/Bangkok
Asia/Bangkok
Asia/Barnaul
Asia/Barnaul
Asia/Beirut
Asia/Beirut
Asia/Bishkek
Asia/Bishkek
Asia/Brunei
Asia/Brunei
Asia/Calcutta
Asia/Calcutta
Asia/Chita
Asia/Chita
Asia/Choibalsan
Asia/Choibalsan
Asia/Chongqing
Asia/Chongqing
Asia/Chungking
Asia/Chungking
Asia/Colombo
Asia/Colombo
Asia/Dacca
Asia/Dacca
Asia/Damascus
Asia/Damascus
Asia/Dhaka
Asia/Dhaka
Asia/Dili
Asia/Dili
Asia/Dubai
Asia/Dubai
Asia/Dushanbe
Asia/Dushanbe
Asia/Famagusta
Asia/Famagusta
Asia/Gaza
Asia/Gaza
Asia/Harbin
Asia/Harbin
Asia/Hebron
Asia/Hebron
Asia/Ho_Chi_Minh
Asia/Ho_Chi_Minh
Asia/Hong_Kong
Asia/Hong_Kong
Asia/Hovd
Asia/Hovd
Asia/Irkutsk
Asia/Irkutsk
Asia/Istanbul
Asia/Istanbul
Asia/Jakarta
Asia/Jakarta
Asia/Jayapura
Asia/Jayapura
Asia/Jerusalem
Asia/Jerusalem
Asia/Kabul
Asia/Kabul
Asia/Kamchatka
Asia/Kamchatka
Asia/Karachi
Asia/Karachi
Asia/Kashgar
Asia/Kashgar
Asia/Kathmandu
Asia/Kathmandu
Asia/Katmandu
Asia/Katmandu
Asia/Khandyga
Asia/Khandyga
Asia/Kolkata
Asia/Kolkata
Asia/Krasnoyarsk
Asia/Krasnoyarsk
Asia/Kuala_Lumpur
Asia/Kuala_Lumpur
Asia/Kuching
Asia/Kuching
Asia/Kuwait
Asia/Kuwait
Asia/Macao
Asia/Macao
Asia/Macau
Asia/Macau
Asia/Magadan
Asia/Magadan
Asia/Makassar
Asia/Makassar
Asia/Manila
Asia/Manila
Asia/Muscat
Asia/Muscat
Asia/Nicosia
Asia/Nicosia
Asia/Novokuznetsk
Asia/Novokuznetsk
Asia/Novosibirsk
Asia/Novosibirsk
Asia/Omsk
Asia/Omsk
Asia/Oral
Asia/Oral
Asia/Phnom_Penh
Asia/Phnom_Penh
Asia/Pontianak
Asia/Pontianak
Asia/Pyongyang
Asia/Pyongyang
Asia/Qatar
Asia/Qatar
Asia/Qostanay
Asia/Qostanay
Asia/Qyzylorda
Asia/Qyzylorda
Asia/Rangoon
Asia/Rangoon
Asia/Riyadh
Asia/Riyadh
Asia/Saigon
Asia/Saigon
Asia/Sakhalin
Asia/Sakhalin
Asia/Samarkand
Asia/Samarkand
Asia/Seoul
Asia/Seoul
Asia/Shanghai
Asia/Shanghai
Asia/Singapore
Asia/Singapore
Asia/Srednekolymsk
Asia/Srednekolymsk
Asia/Taipei
Asia/Taipei
Asia/Tashkent
Asia/Tashkent
Asia/Tbilisi
Asia/Tbilisi
Asia/Tehran
Asia/Tehran
Asia/Tel_Aviv
Asia/Tel_Aviv
Asia/Thimbu
Asia/Thimbu
Asia/Thimphu
Asia/Thimphu
Asia/Tokyo
Asia/Tokyo
Asia/Tomsk
Asia/Tomsk
Asia/Ujung_Pandang
Asia/Ujung_Pandang
Asia/Ulaanbaatar
Asia/Ulaanbaatar
Asia/Ulan_Bator
Asia/Ulan_Bator
Asia/Urumqi
Asia/Urumqi
Asia/Ust-Nera
Asia/Ust-Nera
Asia/Vientiane
Asia/Vientiane
Asia/Vladivostok
Asia/Vladivostok
Asia/Yakutsk
Asia/Yakutsk
Asia/Yangon
Asia/Yangon
Asia/Yekaterinburg
Asia/Yekaterinburg
Asia/Yerevan
Asia/Yerevan
Atlantic/Azores
Atlantic/Azores
Atlantic/Bermuda
Atlantic/Bermuda
Atlantic/Canary
Atlantic/Canary
Atlantic/Cape_Verde
Atlantic/Cape_Verde
Atlantic/Faeroe
Atlantic/Faeroe
Atlantic/Faroe
Atlantic/Faroe
Atlantic/Jan_Mayen
Atlantic/Jan_Mayen
Atlantic/Madeira
Atlantic/Madeira
Atlantic/Reykjavik
Atlantic/Reykjavik
Atlantic/South_Georgia
Atlantic/South_Georgia
Atlantic/St_Helena
Atlantic/St_Helena
Atlantic/Stanley
Atlantic/Stanley
Australia/ACT
Australia/ACT
Australia/Adelaide
Australia/Adelaide
Australia/Brisbane
Australia/Brisbane
Australia/Broken_Hill
Australia/Broken_Hill
Australia/Canberra
Australia/Canberra
Australia/Currie
Australia/Currie
Australia/Darwin
Australia/Darwin
Australia/Eucla
Australia/Eucla
Australia/Hobart
Australia/Hobart
Australia/LHI
Australia/LHI
Australia/Lindeman
Australia/Lindeman
Australia/Lord_Howe
Australia/Lord_Howe
Australia/Melbourne
Australia/Melbourne
Australia/NSW
Australia/NSW
Australia/North
Australia/North
Australia/Perth
Australia/Perth
Australia/Queensland
Australia/Queensland
Australia/South
Australia/South
Australia/Sydney
Australia/Sydney
Australia/Tasmania
Australia/Tasmania
Australia/Victoria
Australia/Victoria
Australia/West
Australia/West
Australia/Yancowinna
Australia/Yancowinna
Brazil/Acre
Brazil/Acre
Brazil/DeNoronha
Brazil/DeNoronha
Brazil/East
Brazil/East
Brazil/West
Brazil/West
CET
CET
CST6CDT
CST6CDT
Canada/Atlantic
Canada/Atlantic
Canada/Central
Canada/Central
Canada/Eastern
Canada/Eastern
Canada/Mountain
Canada/Mountain
Canada/Newfoundland
Canada/Newfoundland
Canada/Pacific
Canada/Pacific
Canada/Saskatchewan
Canada/Saskatchewan
Canada/Yukon
Canada/Yukon
Chile/Continental
Chile/Continental
Chile/EasterIsland
Chile/EasterIsland
Cuba
Cuba
EST
EST
EST5EDT
EST5EDT
Egypt
Egypt
Eire
Eire
Etc/GMT
Etc/GMT
Etc/GMT+0
Etc/GMT+0
Etc/GMT+1
Etc/GMT+1
Etc/GMT+10
Etc/GMT+10
Etc/GMT+11
Etc/GMT+11
Etc/GMT+12
Etc/GMT+12
Etc/GMT+2
Etc/GMT+2
Etc/GMT+3
Etc/GMT+3
Etc/GMT+4
Etc/GMT+4
Etc/GMT+5
Etc/GMT+5
Etc/GMT+6
Etc/GMT+6
Etc/GMT+7
Etc/GMT+7
Etc/GMT+8
Etc/GMT+8
Etc/GMT+9
Etc/GMT+9
Etc/GMT-0
Etc/GMT-0
Etc/GMT-1
Etc/GMT-1
Etc/GMT-10
Etc/GMT-10
Etc/GMT-11
Etc/GMT-11
Etc/GMT-12
Etc/GMT-12
Etc/GMT-13
Etc/GMT-13
Etc/GMT-14
Etc/GMT-14
Etc/GMT-2
Etc/GMT-2
Etc/GMT-3
Etc/GMT-3
Etc/GMT-4
Etc/GMT-4
Etc/GMT-5
Etc/GMT-5
Etc/GMT-6
Etc/GMT-6
Etc/GMT-7
Etc/GMT-7
Etc/GMT-8
Etc/GMT-8
Etc/GMT-9
Etc/GMT-9
Etc/GMT0
Etc/GMT0
Etc/Greenwich
Etc/Greenwich
Etc/UCT
Etc/UCT
Etc/UTC
Etc/UTC
Etc/Universal
Etc/Universal
Etc/Zulu
Etc/Zulu
Europe/Amsterdam
Europe/Amsterdam
Europe/Andorra
Europe/Andorra
Europe/Astrakhan
Europe/Astrakhan
Europe/Athens
Europe/Athens
Europe/Belfast
Europe/Belfast
Europe/Belgrade
Europe/Belgrade
Europe/Berlin
Europe/Berlin
Europe/Bratislava
Europe/Bratislava
Europe/Brussels
Europe/Brussels
Europe/Bucharest
Europe/Bucharest
Europe/Budapest
Europe/Budapest
Europe/Busingen
Europe/Busingen
Europe/Chisinau
Europe/Chisinau
Europe/Copenhagen
Europe/Copenhagen
Europe/Dublin
Europe/Dublin
Europe/Gibraltar
Europe/Gibraltar
Europe/Guernsey
Europe/Guernsey
Europe/Helsinki
Europe/Helsinki
Europe/Isle_of_Man
Europe/Isle_of_Man
Europe/Istanbul
Europe/Istanbul
Europe/Jersey
Europe/Jersey
Europe/Kaliningrad
Europe/Kaliningrad
Europe/Kiev
Europe/Kiev
Europe/Kirov
Europe/Kirov
Europe/Lisbon
Europe/Lisbon
Europe/Ljubljana
Europe/Ljubljana
Europe/London
Europe/London
Europe/Luxembourg
Europe/Luxembourg
Europe/Madrid
Europe/Madrid
Europe/Malta
Europe/Malta
Europe/Mariehamn
Europe/Mariehamn
Europe/Minsk
Europe/Minsk
Europe/Monaco
Europe/Monaco
Europe/Moscow
Europe/Moscow
Europe/Nicosia
Europe/Nicosia
Europe/Oslo
Europe/Oslo
Europe/Paris
Europe/Paris
Europe/Podgorica
Europe/Podgorica
Europe/Prague
Europe/Prague
Europe/Riga
Europe/Riga
Europe/Rome
Europe/Rome
Europe/Samara
Europe/Samara
Europe/San_Marino
Europe/San_Marino
Europe/Sarajevo
Europe/Sarajevo
Europe/Saratov
Europe/Saratov
Europe/Simferopol
Europe/Simferopol
Europe/Skopje
Europe/Skopje
Europe/Sofia
Europe/Sofia
Europe/Stockholm
Europe/Stockholm
Europe/Tallinn
Europe/Tallinn
Europe/Tirane
Europe/Tirane
Europe/Tiraspol
Europe/Tiraspol
Europe/Ulyanovsk
Europe/Ulyanovsk
Europe/Uzhgorod
Europe/Uzhgorod
Europe/Vaduz
Europe/Vaduz
Europe/Vatican
Europe/Vatican
Europe/Vienna
Europe/Vienna
Europe/Vilnius
Europe/Vilnius
Europe/Volgograd
Europe/Volgograd
Europe/Warsaw
Europe/Warsaw
Europe/Zagreb
Europe/Zagreb
Europe/Zaporozhye
Europe/Zaporozhye
Europe/Zurich
Europe/Zurich
GB
GB
GB-Eire
GB-Eire
GMT
GMT
GMT+0
GMT+0
GMT-0
GMT-0
GMT0
GMT0
Greenwich
Greenwich
HST
HST
Hongkong
Hongkong
Iceland
Iceland
Indian/Antananarivo
Indian/Antananarivo
Indian/Chagos
Indian/Chagos
Indian/Christmas
Indian/Christmas
Indian/Cocos
Indian/Cocos
Indian/Comoro
Indian/Comoro
Indian/Kerguelen
Indian/Kerguelen
Indian/Mahe
Indian/Mahe
Indian/Maldives
Indian/Maldives
Indian/Mauritius
Indian/Mauritius
Indian/Mayotte
Indian/Mayotte
Indian/Reunion
Indian/Reunion
Iran
Iran
Israel
Israel
Jamaica
Jamaica
Japan
Japan
Kwajalein
Kwajalein
Libya
Libya
MET
MET
MST
MST
MST7MDT
MST7MDT
Mexico/BajaNorte
Mexico/BajaNorte
Mexico/BajaSur
Mexico/BajaSur
Mexico/General
Mexico/General
NZ-CHAT
NZ-CHAT
Navajo
Navajo
PRC
PRC
PST8PDT
PST8PDT
Pacific/Apia
Pacific/Apia
Pacific/Auckland
Pacific/Auckland
Pacific/Bougainville
Pacific/Bougainville
Pacific/Chatham
Pacific/Chatham
Pacific/Chuuk
Pacific/Chuuk
Pacific/Easter
Pacific/Easter
Pacific/Efate
Pacific/Efate
Pacific/Enderbury
Pacific/Enderbury
Pacific/Fakaofo
Pacific/Fakaofo
Pacific/Fiji
Pacific/Fiji
Pacific/Funafuti
Pacific/Funafuti
Pacific/Galapagos
Pacific/Galapagos
Pacific/Gambier
Pacific/Gambier
Pacific/Guadalcanal
Pacific/Guadalcanal
Pacific/Guam
Pacific/Guam
Pacific/Honolulu
Pacific/Honolulu
Pacific/Johnston
Pacific/Johnston
Pacific/Kiritimati
Pacific/Kiritimati
Pacific/Kosrae
Pacific/Kosrae
Pacific/Kwajalein
Pacific/Kwajalein
Pacific/Majuro
Pacific/Majuro
Pacific/Marquesas
Pacific/Marquesas
Pacific/Midway
Pacific/Midway
Pacific/Nauru
Pacific/Nauru
Pacific/Niue
Pacific/Niue
Pacific/Norfolk
Pacific/Norfolk
Pacific/Noumea
Pacific/Noumea
Pacific/Pago_Pago
Pacific/Pago_Pago
Pacific/Palau
Pacific/Palau
Pacific/Pitcairn
Pacific/Pitcairn
Pacific/Pohnpei
Pacific/Pohnpei
Pacific/Ponape
Pacific/Ponape
Pacific/Port_Moresby
Pacific/Port_Moresby
Pacific/Rarotonga
Pacific/Rarotonga
Pacific/Saipan
Pacific/Saipan
Pacific/Samoa
Pacific/Samoa
Pacific/Tahiti
Pacific/Tahiti
Pacific/Tarawa
Pacific/Tarawa
Pacific/Tongatapu
Pacific/Tongatapu
Pacific/Truk
Pacific/Truk
Pacific/Wake
Pacific/Wake
Pacific/Wallis
Pacific/Wallis
Pacific/Yap
Pacific/Yap
Poland
Poland
Portugal
Portugal
ROC
ROC
ROK
ROK
Singapore
Singapore
Turkey
Turkey
UCT
UCT
US/Alaska
US/Alaska
US/Aleutian
US/Aleutian
US/Arizona
US/Arizona
US/Central
US/Central
US/East-Indiana
US/East-Indiana
US/Eastern
US/Eastern
US/Hawaii
US/Hawaii
US/Indiana-Starke
US/Indiana-Starke
US/Michigan
US/Michigan
US/Mountain
US/Mountain
US/Pacific
US/Pacific
US/Samoa
US/Samoa
UTC
UTC
Universal
Universal
W-SU
W-SU
WET
WET
Zulu
Zulu
EH
Western Sahara
Curator
person who takes care of the organisation and integration of data collected from various sources
AdelieLandtundra
117 (Adelie Land tundra)
AdmiraltyIslandslowlandrainforests
135 (Admiralty Islands lowland rain forests)
undefined ecoregion
Undefined
-1 (undefined)
TenMinutes
one data sample every 10 minutes
10-minutes
FifteenMinutes
one data sample every 15 minutes
15-minutes
TwentyMinutes
one data sample every 20 minutes
20-minutes
ThirtyMinutes
one data sample every 30 minutes
30-minutes
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
Stakeholder
an individual or organization who has an interest in the resource and/or is affected by or affects the actions of the resource
stakeholder
https://www.ngdc.noaa.gov/wiki/index.php/ISO_19115_and_19115-2_CodeList_Dictionaries#CI_RoleCode
RightsHolder
the individual or organization who has ownership of the legal right to the resource
rightsHolder
AlaskaStEliasRangetundra
405 (Alaska-St. Elias Range tundra)
Continuous
Filter
Flask
AlbertineRiftmontaneforests
1 (Albertine Rift montane forests)
AldabraIslandxericscrub
91 (Aldabra Island xeric scrub)
AleutianIslandstundra
406 (Aleutian Islands tundra)
Automatic
Manual
Altaialpinemeadowandtundra
749 (Altai alpine meadow and tundra)
Altaimontaneforestandforeststeppe
690 (Altai montane forest and forest steppe)
Altaisteppeandsemidesert
724 (Altai steppe and semi-desert)
AltoParanaAtlanticforests
439 (Alto Paraná Atlantic forests)
will become default value for ozone data from January 1, 2024 onward
https://www.bipm.org/en/gas-metrology/ozone
CCQM.O3.2019
The 2019 value of 1.1329 x 10-17 cm² and standard uncertainty 0.0035 x 10-17 cm² will be adopted for the ozone absorption cross-section per molecule at 253.65 nm (air) for use in ozone measurement standards maintained at the BIPM and for the calculation of the reference value for the BIPM.QM-K1 on-going comparison of surface ozone measurement standards
is the default up to January 1, 2024
https://iopscience.iop.org/article/10.1088/0370-1328/78/5/340
Hearn1961
The absorption coefficient of gaseous ozone has been measured for the mercury lines at 2537, 2894, 2967, 3021, 3342, and 5770 Å, by measuring the optical absorption and the pressure as the ozone decays in a sealed quartz absorption tube.
Amurmeadowsteppe
741 (Amur meadow steppe)
Anatolianconiferanddeciduousmixedforests
786 (Anatolian conifer and deciduous mixed forests)
AndamanIslandsrainforests
218 (Andaman Islands rain forests)
Angolanmontaneforestgrassland
77 (Angolan montane forest-grassland)
Angolanmopanewoodlands
34 (Angolan mopane woodlands)
Angolanscarpsavannaandwoodlands
35 (Angolan scarp savanna and woodlands)
Angolanwetmiombowoodlands
36 (Angolan wet miombo woodlands)
AntipodesSubantarcticIslandstundra
196 (Antipodes Subantarctic Islands tundra)
AppalachianBlueRidgeforests
331 (Appalachian-Blue Ridge forests)
Appalachianmixedmesophyticforests
329 (Appalachian mixed mesophytic forests)
AppalachianPiedmontforests
330 (Appalachian Piedmont forests)
Appeninedeciduousmontaneforests
644 (Appenine deciduous montane forests)
ApureVillavicenciodryforests
520 (Apure-Villavicencio dry forests)
Arabiansanddesert
810 (Arabian sand desert)
Araucariamoistforests
440 (Araucaria moist forests)
ArayaandPariaxericscrub
597 (Araya and Paria xeric scrub)
Arcticcoastaltundra
407 (Arctic coastal tundra)
RussianArcticdesert
778 (Russian Arctic desert)
Arcticfoothillstundra
408 (Arctic foothills tundra)
ArizonaMountainsforests
346 (Arizona Mountains forests)
ArnhemLandtropicalsavanna
181 (Arnhem Land tropical savanna)
Ascensionscrubandgrasslands
37 (Ascension scrub and grasslands)
Atacamadesert
598 (Atacama desert)
AtlanticCoastrestingas
441 (Atlantic Coast restingas)
SaharanAtlanticcoastaldesert
839 (Saharan Atlantic coastal desert)
Atlanticcoastalpinebarrens
347 (Atlantic coastal pine barrens)
Congoliancoastalforests
5 (Congolian coastal forests)
EuropeanAtlanticmixedforests
664 (European Atlantic mixed forests)
AustralianAlpsmontanegrasslands
193 (Australian Alps montane grasslands)
Azerbaijanshrubdesertandsteppe
812 (Azerbaijan shrub desert and steppe)
Azorestemperatemixedforests
645 (Azores temperate mixed forests)
BadghyzandKarabilsemidesert
813 (Badghyz and Karabil semi-desert)
BahamianAntilleanmangroves
612 (Bahamian-Antillean mangroves)
Bahiacoastalforests
442 (Bahia coastal forests)
Bahiainteriorforests
443 (Bahia interior forests)
BajaCaliforniadesert
426 (Baja California desert)
Bajiodryforests
521 (BajÃo dry forests)
Balkanmixedforests
646 (Balkan mixed forests)
Balsasdryforests
522 (Balsas dry forests)
Balticmixedforests
647 (Baltic mixed forests)
Baluchistanxericwoodlands
814 (Baluchistan xeric woodlands)
BandaSeaIslandsmoistdeciduousforests
136 (Banda Sea Islands moist deciduous forests)
Belizianpinesavannas
564 (Belizian pine savannas)
Benisavanna
565 (Beni savanna)
RussianBeringtundra
779 (Russian Bering tundra)
Beringialowlandtundra
409 (Beringia lowland tundra)
Beringiauplandtundra
410 (Beringia upland tundra)
Bermudasubtropicalconiferforests
325 (Bermuda subtropical conifer forests)
BiakNumfoorrainforests
137 (Biak-Numfoor rain forests)
BlueMountainsforests
348 (Blue Mountains forests)
BohaiSeasalinemeadow
742 (Bohai Sea saline meadow)
Bolivianmontanedryforests
523 (Bolivian montane dry forests)
BolivianYungas
444 (Bolivian Yungas)
Borneolowlandrainforests
219 (Borneo lowland rain forests)
Borneopeatswampforests
221 (Borneo peat swamp forests)
BrahmaputraValleysemievergreenforests
222 (Brahmaputra Valley semi-evergreen forests)
Brigalowtropicalsavanna
182 (Brigalow tropical savanna)
BritishColumbiacoastalconiferforests
349 (British Columbia coastal conifer forests)
BrooksBritishRangetundra
411 (Brooks-British Range tundra)
Bururainforests
138 (Buru rain forests)
Caatinga
525 (Caatinga)
CaatingaEnclavesmoistforests
445 (Caatinga Enclaves moist forests)
Caledonconiferforests
691 (Caledon conifer forests)
CaliforniaCentralValleygrasslands
385 (California Central Valley grasslands)
Californiacoastalsageandchaparral
422 (California coastal sage and chaparral)
Californiainteriorchaparralandwoodlands
423 (California interior chaparral and woodlands)
Californiamontanechaparralandwoodlands
424 (California montane chaparral and woodlands)
CameroonHighlandsforests
2 (Cameroon Highlands forests)
CamposRupestresmontanesavanna
566 (Campos Rupestres montane savanna)
CanadianAspenforestsandparklands
386 (Canadian Aspen forests and parklands)
CanadianLowArctictundra
413 (Canadian Low Arctic tundra)
CanaryIslandsdrywoodlandsandforests
787 (Canary Islands dry woodlands and forests)
Cantabrianmixedforests
648 (Cantabrian mixed forests)
CanterburyOtagotussockgrasslands
190 (Canterbury-Otago tussock grasslands)
CapeVerdeIslandsdryforests
31 (Cape Verde Islands dry forests)
CapeYorkPeninsulatropicalsavanna
183 (Cape York Peninsula tropical savanna)
Caquetamoistforests
446 (Caqueta moist forests)
CardamomMountainsrainforests
223 (Cardamom Mountains rain forests)
Caribbeanshrublands
599 (Caribbean shrublands)
Carnarvonxericshrublands
207 (Carnarvon xeric shrublands)
Carolinestropicalmoistforests
618 (Carolines tropical moist forests)
Carpathianmontaneforests
692 (Carpathian montane forests)
Carpentariatropicalsavanna
184 (Carpentaria tropical savanna)
CaspianHyrcanianmixedforests
649 (Caspian Hyrcanian mixed forests)
Caspianlowlanddesert
815 (Caspian lowland desert)
Catatumbomoistforests
447 (Catatumbo moist forests)
CaucaValleydryforests
526 (Cauca Valley dry forests)
CaucaValleymontaneforests
448 (Cauca Valley montane forests)
Caucasusmixedforests
650 (Caucasus mixed forests)
CayosMiskitosSanAndresandProvidenciamoistforests
449 (Cayos Miskitos-San Andrés and Providencia moist forests)
Celticbroadleafforests
651 (Celtic broadleaf forests)
CentralAfghanMountainsxericwoodlands
816 (Central Afghan Mountains xeric woodlands)
CentralAfricanmangroves
111 (Central African mangroves)
CentralAmericanAtlanticmoistforests
450 (Central American Atlantic moist forests)
CentralAmericandryforests
527 (Central American dry forests)
CentralAmericanmontaneforests
451 (Central American montane forests)
CentralAmericanpineoakforests
553 (Central American pine-oak forests)
CentralAnatoliansteppe
725 (Central Anatolian steppe)
CentralAnatoliansteppeandwoodlands
652 (Central Anatolian steppe and woodlands)
CentralSouthernCascadesForests
352 (Central-Southern Cascades Forests)
CentralSouthernUSmixedgrasslands
389 (Central-Southern US mixed grasslands)
CentralAndeandrypuna
587 (Central Andean dry puna)
CentralAndeanpuna
588 (Central Andean puna)
CentralAndeanwetpuna
589 (Central Andean wet puna)
CentralAsiannortherndesert
817 (Central Asian northern desert)
CentralAsianriparianwoodlands
818 (Central Asian riparian woodlands)
CentralAsiansoutherndesert
819 (Central Asian southern desert)
CentralBritishColumbiaMountainforests
350 (Central British Columbia Mountain forests)
Centralbushveld
38 (Central bushveld)
CentralCanadianShieldforests
370 (Central Canadian Shield forests)
CentralChinaLoessPlateaumixedforests
653 (Central China Loess Plateau mixed forests)
CentralCongolianlowlandforests
3 (Central Congolian lowland forests)
CentralDeccanPlateaudrydeciduousforests
290 (Central Deccan Plateau dry deciduous forests)
CentralEuropeanmixedforests
654 (Central European mixed forests)
CentralUSforestgrasslandstransition
387 (Central US forest-grasslands transition)
CentralIndochinadryforests
291 (Central Indochina dry forests)
CentralKoreandeciduousforests
655 (Central Korean deciduous forests)
CentralMexicanmatorral
427 (Central Mexican matorral)
CentralPacificNorthwestcoastalforests
351 (Central Pacific Northwest coastal forests)
CentralPersiandesertbasins
820 (Central Persian desert basins)
CentralPolynesiantropicalmoistforests
619 (Central Polynesian tropical moist forests)
CentralRangePapuanmontanerainforests
139 (Central Range Papuan montane rain forests)
PapuanCentralRangesubalpinegrasslands
195 (Papuan Central Range sub-alpine grasslands)
CentralRangesxericscrub
208 (Central Ranges xeric scrub)
CentralSouthAntarcticPeninsulatundra
118 (Central South Antarctic Peninsula tundra)
CentralTallgrassprairie
388 (Central Tallgrass prairie)
CentralTibetanPlateaualpinesteppe
750 (Central Tibetan Plateau alpine steppe)
CentralZambezianwetmiombowoodlands
39 (Central Zambezian wet miombo woodlands)
Cerrado
567 (Cerrado)
ChangbaiMountainsmixedforests
656 (Changbai Mountains mixed forests)
ChangjiangPlainevergreenforests
657 (Changjiang Plain evergreen forests)
ChaoPhrayafreshwaterswampforests
224 (Chao Phraya freshwater swamp forests)
ChaoPhrayalowlandmoistdeciduousforests
225 (Chao Phraya lowland moist deciduous forests)
ChathamIslandtemperateforests
167 (Chatham Island temperate forests)
CherskiiKolymamountaintundra
771 (Cherskii-Kolyma mountain tundra)
ChhotaNagpurdrydeciduousforests
292 (Chhota-Nagpur dry deciduous forests)
ChiapasDepressiondryforests
528 (Chiapas Depression dry forests)
Chiapasmontaneforests
452 (Chiapas montane forests)
Chihuahuandesert
428 (Chihuahuan desert)
ChileanMatorral
596 (Chilean Matorral)
Chimalapasmontaneforests
453 (Chimalapas montane forests)
ChinHillsArakanYomamontaneforests
226 (Chin Hills-Arakan Yoma montane forests)
Chiquitanodryforests
529 (Chiquitano dry forests)
ChocoDarienmoistforests
454 (Chocó-Darién moist forests)
ChristmasandCocosIslandstropicalforests
227 (Christmas and Cocos Islands tropical forests)
ChukchiPeninsulatundra
772 (Chukchi Peninsula tundra)
ClippertonIslandshrubandgrasslands
568 (Clipperton Island shrub and grasslands)
CocosIslandmoistforests
455 (Cocos Island moist forests)
ColoradoPlateaushrublands
429 (Colorado Plateau shrublands)
ColoradoRockiesforests
353 (Colorado Rockies forests)
Comorosforests
4 (Comoros forests)
CookInlettaiga
371 (Cook Inlet taiga)
CookIslandstropicalmoistforests
620 (Cook Islands tropical moist forests)
Coolgardiewoodlands
197 (Coolgardie woodlands)
CopperPlateautaiga
372 (Copper Plateau taiga)
CordilleraCentralparamo
590 (Cordillera Central páramo)
CordilleradeMeridaparamo
591 (Cordillera de Merida páramo)
CordilleraLaCostamontaneforests
456 (Cordillera La Costa montane forests)
CordilleraOrientalmontaneforests
457 (Cordillera Oriental montane forests)
Corsicanmontanebroadleafandmixedforests
788 (Corsican montane broadleaf and mixed forests)
CostaRicanseasonalmoistforests
458 (Costa Rican seasonal moist forests)
CreteMediterraneanforests
789 (Crete Mediterranean forests)
CrimeanSubmediterraneanforestcomplex
658 (Crimean Submediterranean forest complex)
CrossNigertransitionforests
6 (Cross-Niger transition forests)
CrossSanagaBiokocoastalforests
7 (Cross-Sanaga-Bioko coastal forests)
CrossTimberssavannawoodland
390 (Cross-Timbers savanna-woodland)
Cubancactusscrub
600 (Cuban cactus scrub)
Cubandryforests
530 (Cuban dry forests)
Cubanmoistforests
459 (Cuban moist forests)
Cubanpineforests
554 (Cuban pine forests)
Cubanwetlands
579 (Cuban wetlands)
CyprusMediterraneanforests
790 (Cyprus Mediterranean forests)
DaHingganDzhagdyMountainsconiferforests
693 (Da Hinggan-Dzhagdy Mountains conifer forests)
DabaMountainsevergreenforests
659 (Daba Mountains evergreen forests)
Daurianforeststeppe
726 (Daurian forest steppe)
DavisHighlandstundra
415 (Davis Highlands tundra)
Deccanthornscrubforests
315 (Deccan thorn scrub forests)
DinaricMountainsmixedforests
660 (Dinaric Mountains mixed forests)
Djiboutixericshrublands
92 (Djibouti xeric shrublands)
DrakensbergEscarpmentsavannaandthicket
40 (Drakensberg Escarpment savanna and thicket)
Drakensberggrasslands
41 (Drakensberg grasslands)
RockandIce
0 (Rock and Ice)
DryChaco
569 (Dry Chaco)
EastAfghanmontaneconiferforests
694 (East Afghan montane conifer forests)
EastAfricanhalophytics
69 (East African halophytics)
EastAfricanmangroves
112 (East African mangroves)
EastAntarctictundra
120 (East Antarctic tundra)
EastArabianfogshrublandsandsanddesert
821 (East Arabian fog shrublands and sand desert)
EastCentralTexasforests
332 (East Central Texas forests)
EastDeccandryevergreenforests
293 (East Deccan dry-evergreen forests)
EastEuropeanforeststeppe
661 (East European forest steppe)
EastSaharaDesert
822 (East Sahara Desert)
EastSaharanmontanexericwoodlands
823 (East Saharan montane xeric woodlands)
EastSiberiantaiga
710 (East Siberian taiga)
EastSudaniansavanna
43 (East Sudanian savanna)
EasternAnatoliandeciduousforests
662 (Eastern Anatolian deciduous forests)
EasternAnatolianmontanesteppe
727 (Eastern Anatolian montane steppe)
EasternAustraliamulgashrublands
191 (Eastern Australia mulga shrublands)
EasternAustraliantemperateforests
168 (Eastern Australian temperate forests)
EasternCanadianforests
373 (Eastern Canadian forests)
EasternCanadianShieldtaiga
374 (Eastern Canadian Shield taiga)
EasternCascadesforests
354 (Eastern Cascades forests)
EasternCongolianswampforests
10 (Eastern Congolian swamp forests)
EasternCordilleraRealmontaneforests
460 (Eastern Cordillera Real montane forests)
EasternCanadianForestBorealtransition
333 (Eastern Canadian Forest-Boreal transition)
EasternGobidesertsteppe
824 (Eastern Gobi desert steppe)
EasternGreatLakeslowlandforests
334 (Eastern Great Lakes lowland forests)
EasternGuineanforests
11 (Eastern Guinean forests)
EastDeccanmoistdeciduousforests
228 (East Deccan moist deciduous forests)
EasternHimalayanalpineshrubandmeadows
751 (Eastern Himalayan alpine shrub and meadows)
EasternHimalayanbroadleafforests
306 (Eastern Himalayan broadleaf forests)
EasternHimalayansubalpineconiferforests
309 (Eastern Himalayan subalpine conifer forests)
EasternJavaBalimontanerainforests
229 (Eastern Java-Bali montane rain forests)
EasternJavaBalirainforests
230 (Eastern Java-Bali rain forests)
EasternMediterraneanconiferbroadleafforests
791 (Eastern Mediterranean conifer-broadleaf forests)
EasternMicronesiatropicalmoistforests
621 (Eastern Micronesia tropical moist forests)
EasternPanamanianmontaneforests
461 (Eastern Panamanian montane forests)
Ecuadoriandryforests
531 (Ecuadorian dry forests)
EdwardsPlateausavanna
391 (Edwards Plateau savanna)
Einasleighuplandsavanna
185 (Einasleigh upland savanna)
ElburzRangeforeststeppe
695 (Elburz Range forest steppe)
EllsworthLandtundra
121 (Ellsworth Land tundra)
EllsworthMountainstundra
122 (Ellsworth Mountains tundra)
EminValleysteppe
728 (Emin Valley steppe)
EnderbyLandtundra
123 (Enderby Land tundra)
EnglishLowlandsbeechforests
663 (English Lowlands beech forests)
Enriquillowetlands
580 (Enriquillo wetlands)
Eritreancoastaldesert
93 (Eritrean coastal desert)
Esperancemallee
198 (Esperance mallee)
Espinal
575 (Espinal)
Ethiopianmontaneforests
12 (Ethiopian montane forests)
Ethiopianmontanegrasslandsandwoodlands
79 (Ethiopian montane grasslands and woodlands)
Ethiopianmontanemoorlands
80 (Ethiopian montane moorlands)
EtoshaPanhalophytics
70 (Etosha Pan halophytics)
EuxineColchicbroadleafforests
665 (Euxine-Colchic broadleaf forests)
Evergladesfloodedgrasslands
581 (Everglades flooded grasslands)
EyreandYorkmallee
199 (Eyre and York mallee)
FaroeIslandsborealgrasslands
729 (Faroe Islands boreal grasslands)
FernandodeNoronhaAtoldasRocasmoistforests
462 (Fernando de Noronha-Atol das Rocas moist forests)
Fijitropicaldryforests
635 (Fiji tropical dry forests)
Fijitropicalmoistforests
622 (Fiji tropical moist forests)
Fiordlandtemperateforests
169 (Fiordland temperate forests)
FlindersLoftymontanewoodlands
200 (Flinders-Lofty montane woodlands)
FlintHillstallgrassprairie
392 (Flint Hills tallgrass prairie)
FraserPlateauandBasinconiferforests
355 (Fraser Plateau and Basin conifer forests)
Fynbosshrubland
89 (Fynbos shrubland)
GalapagosIslandsxericscrub
601 (Galápagos Islands xeric scrub)
GariepKaroo
94 (Gariep Karoo)
GhoratHazarajatalpinemeadow
752 (Ghorat-Hazarajat alpine meadow)
Gibsondesert
209 (Gibson desert)
GissaroAlaiopenwoodlands
730 (Gissaro-Alai open woodlands)
GodavariKrishnamangroves
316 (Godavari-Krishna mangroves)
GobiLakesValleydesertsteppe
825 (Gobi Lakes Valley desert steppe)
GraniticSeychellesforests
13 (Granitic Seychelles forests)
GreatBasinmontaneforests
356 (Great Basin montane forests)
GreatBasinshrubsteppe
430 (Great Basin shrub steppe)
GreatLakesBasindesertsteppe
826 (Great Lakes Basin desert steppe)
GreatSandyTanamidesert
210 (Great Sandy-Tanami desert)
GreatVictoriadesert
211 (Great Victoria desert)
GreaterNegrosPanayrainforests
231 (Greater Negros-Panay rain forests)
GuajiraBarranquillaxericscrub
602 (Guajira-Barranquilla xeric scrub)
Guayaquilfloodedgrasslands
582 (Guayaquil flooded grasslands)
Guiananfreshwaterswampforests
463 (Guianan freshwater swamp forests)
GuiananHighlandsmoistforests
464 (Guianan Highlands moist forests)
Guiananlowlandmoistforests
465 (Guianan lowland moist forests)
Guiananpiedmontmoistforests
466 (Guianan piedmont moist forests)
Guianansavanna
570 (Guianan savanna)
Guineanforestsavanna
44 (Guinean forest-savanna)
Guineanmangroves
113 (Guinean mangroves)
Guineanmontaneforests
14 (Guinean montane forests)
GuizhouPlateaubroadleafandmixedforests
642 (Guizhou Plateau broadleaf and mixed forests)
GulfofCaliforniaxericscrub
431 (Gulf of California xeric scrub)
GulfofStLawrencelowlandforests
335 (Gulf of St. Lawrence lowland forests)
Gurupavarzea
467 (Gurupa várzea)
HainanIslandmonsoonrainforests
232 (Hainan Island monsoon rain forests)
Halmaherarainforests
140 (Halmahera rain forests)
Hamptonmalleeandwoodlands
201 (Hampton mallee and woodlands)
Hawaiitropicaldryforests
636 (Hawai''i tropical dry forests)
Hawaiitropicalhighshrublands
639 (Hawai''i tropical high shrublands)
Hawaiitropicallowshrublands
640 (Hawai''i tropical low shrublands)
Hawaiitropicalmoistforests
623 (Hawai''i tropical moist forests)
Helanshanmontaneconiferforests
696 (Helanshan montane conifer forests)
HengduanMountainssubalpineconiferforests
697 (Hengduan Mountains subalpine conifer forests)
CanadianHighArctictundra
412 (Canadian High Arctic tundra)
HighMonte
592 (High Monte)
Highveldgrasslands
81 (Highveld grasslands)
Himalayansubtropicalbroadleafforests
233 (Himalayan subtropical broadleaf forests)
Himalayansubtropicalpineforests
302 (Himalayan subtropical pine forests)
HinduKushalpinemeadow
753 (Hindu Kush alpine meadow)
Hispaniolandryforests
532 (Hispaniolan dry forests)
Hispaniolanmoistforests
468 (Hispaniolan moist forests)
Hispaniolanpineforests
555 (Hispaniolan pine forests)
Hobyograsslandsandshrublands
95 (Hobyo grasslands and shrublands)
Hokkaidodeciduousforests
666 (Hokkaido deciduous forests)
Hokkaidomontaneconiferforests
698 (Hokkaido montane conifer forests)
Honshualpineconiferforests
699 (Honshu alpine conifer forests)
HornofAfricaxericbushlands
45 (Horn of Africa xeric bushlands)
HuangHePlainmixedforests
667 (Huang He Plain mixed forests)
HumidChaco
571 (Humid Chaco)
HumidPampas
576 (Humid Pampas)
HuonPeninsulamontanerainforests
141 (Huon Peninsula montane rain forests)
Iberianconiferforests
792 (Iberian conifer forests)
Iberiansclerophyllousandsemideciduousforests
793 (Iberian sclerophyllous and semi-deciduous forests)
Icelandborealbirchforestsandalpinetundra
711 (Iceland boreal birch forests and alpine tundra)
Illyriandeciduousforests
794 (Illyrian deciduous forests)
Indochinamangroves
319 (Indochina mangroves)
IndusRiverDeltaArabianSeamangroves
320 (Indus River Delta-Arabian Sea mangroves)
IndusValleydesert
317 (Indus Valley desert)
InnerNigerDeltafloodedsavanna
71 (Inner Niger Delta flooded savanna)
InteriorAlaskaYukonlowlandtaiga
375 (Interior Alaska-Yukon lowland taiga)
InteriorPlateauUSHardwoodForests
336 (Interior Plateau US Hardwood Forests)
InteriorYukonAlaskaalpinetundra
416 (Interior Yukon-Alaska alpine tundra)
Iquitosvarzea
469 (Iquitos várzea)
Irrawaddydryforests
294 (Irrawaddy dry forests)
Irrawaddyfreshwaterswampforests
234 (Irrawaddy freshwater swamp forests)
Irrawaddymoistdeciduousforests
235 (Irrawaddy moist deciduous forests)
IslasRevillagigedodryforests
533 (Islas Revillagigedo dry forests)
IsthmianAtlanticmoistforests
470 (Isthmian-Atlantic moist forests)
IsthmianPacificmoistforests
471 (Isthmian-Pacific moist forests)
Italiansclerophyllousandsemideciduousforests
795 (Italian sclerophyllous and semi-deciduous forests)
ItigiSumbuthicket
46 (Itigi-Sumbu thicket)
Jaliscodryforests
534 (Jalisco dry forests)
Jamaicandryforests
535 (Jamaican dry forests)
Jamaicanmoistforests
472 (Jamaican moist forests)
JapuraSolimoesNegromoistforests
473 (Japurá-Solimões-Negro moist forests)
JarrahKarriforestandshrublands
202 (Jarrah-Karri forest and shrublands)
JianNansubtropicalevergreenforests
236 (Jian Nan subtropical evergreen forests)
JosPlateauforestgrassland
82 (Jos Plateau forest-grassland)
JuanFernandezIslandstemperateforests
560 (Juan Fernández Islands temperate forests)
JunggarBasinsemidesert
827 (Junggar Basin semi-desert)
JuruaPurusmoistforests
474 (Juruá-Purus moist forests)
KalaallitNunaatHighArctictundra
418 (Kalaallit Nunaat High Arctic tundra)
KalahariAcaciawoodlands
47 (Kalahari Acacia woodlands)
Kalaharixericsavanna
97 (Kalahari xeric savanna)
KamchatkaKurilemeadowsandsparseforests
713 (Kamchatka-Kurile meadows and sparse forests)
Kamchatkataiga
712 (Kamchatka taiga)
Kaokovelddesert
98 (Kaokoveld desert)
KarakoramWestTibetanPlateaualpinesteppe
754 (Karakoram-West Tibetan Plateau alpine steppe)
KayahKarenmontanerainforests
237 (Kayah-Karen montane rain forests)
Kazakhforeststeppe
731 (Kazakh forest steppe)
Kazakhsemidesert
828 (Kazakh semi-desert)
Kazakhsteppe
732 (Kazakh steppe)
Kazakhuplandsteppe
733 (Kazakh upland steppe)
KermadecIslandssubtropicalmoistforests
624 (Kermadec Islands subtropical moist forests)
KhangaiMountainsalpinemeadow
755 (Khangai Mountains alpine meadow)
KhangaiMountainsconiferforests
700 (Khangai Mountains conifer forests)
KhathiarGirdrydeciduousforests
295 (Khathiar-Gir dry deciduous forests)
Kimberlytropicalsavanna
186 (Kimberly tropical savanna)
KlamathSiskiyouforests
357 (Klamath-Siskiyou forests)
KnysnaAmatolemontaneforests
15 (Knysna-Amatole montane forests)
KolaPeninsulatundra
774 (Kola Peninsula tundra)
KopetDagsemidesert
829 (Kopet Dag semi-desert)
KopetDagwoodlandsandforeststeppe
756 (Kopet Dag woodlands and forest steppe)
KuhRudandEasternIranmontanewoodlands
757 (Kuh Rud and Eastern Iran montane woodlands)
KwazuluNatalCapecoastalforests
16 (Kwazulu Natal-Cape coastal forests)
LaCostaxericshrublands
603 (La Costa xeric shrublands)
LakeChadfloodedsavanna
72 (Lake Chad flooded savanna)
LaraFalcondryforests
536 (Lara-Falcón dry forests)
LeewardIslandsmoistforests
475 (Leeward Islands moist forests)
LesserSundasdeciduousforests
163 (Lesser Sundas deciduous forests)
Limpopolowveld
48 (Limpopo lowveld)
Llanos
572 (Llanos)
LordHoweIslandsubtropicalforests
142 (Lord Howe Island subtropical forests)
LouisiadeArchipelagorainforests
143 (Louisiade Archipelago rain forests)
LowMonte
577 (Low Monte)
LowerGangeticPlainsmoistdeciduousforests
238 (Lower Gangetic Plains moist deciduous forests)
LuangPrabangmontanerainforests
239 (Luang Prabang montane rain forests)
Luzonmontanerainforests
240 (Luzon montane rain forests)
Luzonrainforests
241 (Luzon rain forests)
Luzontropicalpineforests
303 (Luzon tropical pine forests)
Madagascardrydeciduousforests
32 (Madagascar dry deciduous forests)
Madagascarericoidthickets
83 (Madagascar ericoid thickets)
Madagascarhumidforests
17 (Madagascar humid forests)
Madagascarmangroves
114 (Madagascar mangroves)
Madagascarspinythickets
99 (Madagascar spiny thickets)
Madagascarsubhumidforests
18 (Madagascar subhumid forests)
Madagascarsucculentwoodlands
100 (Madagascar succulent woodlands)
MadeiraTapajosmoistforests
476 (Madeira-Tapajós moist forests)
Madeiraevergreenforests
668 (Madeira evergreen forests)
MagdalenaUrabamoistforests
478 (Magdalena-Urabá moist forests)
MagdalenaValleydryforests
538 (Magdalena Valley dry forests)
MagdalenaValleymontaneforests
477 (Magdalena Valley montane forests)
Magellanicsubpolarforests
561 (Magellanic subpolar forests)
Makgadikgadihalophytics
73 (Makgadikgadi halophytics)
MalabarCoastmoistforests
242 (Malabar Coast moist forests)
MaldivesLakshadweepChagosArchipelagotropicalmoistforests
243 (Maldives-Lakshadweep-Chagos Archipelago tropical moist forests)
MalpeloIslandxericscrub
604 (Malpelo Island xeric scrub)
Manchurianmixedforests
669 (Manchurian mixed forests)
MandaraPlateauwoodlands
49 (Mandara Plateau woodlands)
Maputalandcoastalforestsandwoodlands
19 (Maputaland coastal forests and woodlands)
Maracaibodryforests
539 (Maracaibo dry forests)
Marajovarzea
480 (Marajó várzea)
MaranhaoBabacuforests
540 (Maranhão Babaçu forests)
Maranondryforests
479 (Marañón dry forests)
Marianastropicaldryforests
637 (Marianas tropical dry forests)
Marquesastropicalmoistforests
625 (Marquesas tropical moist forests)
Masaixericgrasslandsandshrublands
50 (Masai xeric grasslands and shrublands)
Mascareneforests
20 (Mascarene forests)
MatoGrossotropicaldryforests
481 (Mato Grosso tropical dry forests)
MediterraneanAcaciaArganiadrywoodlandsandsucculentthickets
796 (Mediterranean Acacia-Argania dry woodlands and succulent thickets)
Mediterraneanconiferandmixedforests
701 (Mediterranean conifer and mixed forests)
Mediterraneandrywoodlandsandsteppe
797 (Mediterranean dry woodlands and steppe)
MediterraneanHighAtlasjunipersteppe
758 (Mediterranean High Atlas juniper steppe)
Mediterraneanwoodlandsandforests
798 (Mediterranean woodlands and forests)
Meghalayasubtropicalforests
244 (Meghalaya subtropical forests)
MentawaiIslandsrainforests
245 (Mentawai Islands rain forests)
MesetaCentralmatorral
432 (Meseta Central matorral)
MesoamericanGulfCaribbeanmangroves
613 (Mesoamerican Gulf-Caribbean mangroves)
Mesopotamianshrubdesert
830 (Mesopotamian shrub desert)
MidCanadaBorealPlainsforests
376 (Mid-Canada Boreal Plains forests)
CanadianMiddleArcticTundra
414 (Canadian Middle Arctic Tundra)
MidAtlanticUScoastalsavannas
393 (Mid-Atlantic US coastal savannas)
MidwestCanadianShieldforests
377 (Midwest Canadian Shield forests)
MindanaoEasternVisayasrainforests
247 (Mindanao-Eastern Visayas rain forests)
Mindanaomontanerainforests
246 (Mindanao montane rain forests)
Mindororainforests
248 (Mindoro rain forests)
Miskitopineforests
573 (Miskito pine forests)
Mississippilowlandforests
337 (Mississippi lowland forests)
MitchellGrassDowns
187 (Mitchell Grass Downs)
MizoramManipurKachinrainforests
249 (Mizoram-Manipur-Kachin rain forests)
Mojavedesert
433 (Mojave desert)
MongolianManchuriangrassland
734 (Mongolian-Manchurian grassland)
MontanaValleyandFoothillgrasslands
394 (Montana Valley and Foothill grasslands)
MonteAlegrevarzea
482 (Monte Alegre várzea)
MotaguaValleythornscrub
605 (Motagua Valley thornscrub)
MountCameroonandBiokomontaneforests
21 (Mount Cameroon and Bioko montane forests)
MulanjeMontaneforestgrassland
84 (Mulanje Montane forest-grassland)
MurrayDarlingwoodlandsandmallee
203 (Murray-Darling woodlands and mallee)
MuskwaSlaveLaketaiga
378 (Muskwa-Slave Lake taiga)
MyanmarCoastmangroves
321 (Myanmar Coast mangroves)
Myanmarcoastalrainforests
250 (Myanmar coastal rain forests)
NamaKarooshrublands
101 (Nama Karoo shrublands)
NamaqualandRichtersveldsteppe
102 (Namaqualand-Richtersveld steppe)
NamibDesert
103 (Namib Desert)
Namibiansavannawoodlands
104 (Namibian savanna woodlands)
NanseiIslandssubtropicalevergreenforests
251 (Nansei Islands subtropical evergreen forests)
Napomoistforests
483 (Napo moist forests)
Naracoortewoodlands
204 (Naracoorte woodlands)
NarmadaValleydrydeciduousforests
296 (Narmada Valley dry deciduous forests)
NebraskaSandHillsmixedgrasslands
395 (Nebraska Sand Hills mixed grasslands)
NegroBrancomoistforests
484 (Negro-Branco moist forests)
NelsonCoasttemperateforests
170 (Nelson Coast temperate forests)
NenjiangRivergrassland
743 (Nenjiang River grassland)
NewBritainNewIrelandlowlandrainforests
144 (New Britain-New Ireland lowland rain forests)
NewBritainNewIrelandmontanerainforests
145 (New Britain-New Ireland montane rain forests)
NewCaledoniadryforests
164 (New Caledonia dry forests)
NewCaledoniarainforests
146 (New Caledonia rain forests)
NewEnglandAcadianforests
338 (New England-Acadian forests)
NewGuineamangroves
217 (New Guinea mangroves)
NicobarIslandsrainforests
252 (Nicobar Islands rain forests)
NigerDeltaswampforests
22 (Niger Delta swamp forests)
Nigerianlowlandforests
23 (Nigerian lowland forests)
Nihonkaievergreenforests
670 (Nihonkai evergreen forests)
Nihonkaimontanedeciduousforests
671 (Nihonkai montane deciduous forests)
NileDeltafloodedsavanna
744 (Nile Delta flooded savanna)
NorfolkIslandsubtropicalforests
147 (Norfolk Island subtropical forests)
NortheastAntarcticPeninsulatundra
126 (Northeast Antarctic Peninsula tundra)
NorthwestAntarcticPeninsulatundra
127 (Northwest Antarctic Peninsula tundra)
NorthArabiandesert
831 (North Arabian desert)
NorthArabianhighlandshrublands
832 (North Arabian highland shrublands)
NewZealandNorthIslandtemperateforests
171 (New Zealand North Island temperate forests)
NorthSaharanXericSteppeandWoodland
833 (North Saharan Xeric Steppe and Woodland)
Somalimontanexericwoodlands
106 (Somali montane xeric woodlands)
NorthTibetanPlateauKunlunMountainsalpinedesert
759 (North Tibetan Plateau-Kunlun Mountains alpine desert)
NorthVictoriaLandtundra
125 (North Victoria Land tundra)
NorthWesternGhatsmoistdeciduousforests
253 (North Western Ghats moist deciduous forests)
NorthWesternGhatsmontanerainforests
254 (North Western Ghats montane rain forests)
NortheastChinaPlaindeciduousforests
673 (Northeast China Plain deciduous forests)
NortheastIndiaMyanmarpineforests
304 (Northeast India-Myanmar pine forests)
NortheastSiberiancoastaltundra
775 (Northeast Siberian coastal tundra)
NortheastSiberiantaiga
714 (Northeast Siberian taiga)
NortheastBrazilrestingas
485 (Northeast Brazil restingas)
NortheastCongolianlowlandforests
24 (Northeast Congolian lowland forests)
NortheastHimalayansubalpineconiferforests
702 (Northeast Himalayan subalpine conifer forests)
NortheastSpainandSouthernFranceMediterraneanforests
799 (Northeast Spain and Southern France Mediterranean forests)
NortheastUSCoastalforests
339 (Northeast US Coastal forests)
NorthernAcaciaCommiphorabushlandsandthickets
51 (Northern Acacia-Commiphora bushlands and thickets)
NorthernAnatolianconiferanddeciduousforests
703 (Northern Anatolian conifer and deciduous forests)
NorthernAndeanparamo
593 (Northern Andean páramo)
NorthernAnnamitesrainforests
255 (Northern Annamites rain forests)
NorthernCaliforniacoastalforests
359 (Northern California coastal forests)
NorthernCanadianShieldtaiga
379 (Northern Canadian Shield taiga)
NorthernCongolianForestSavanna
52 (Northern Congolian Forest-Savanna)
NorthDeccandrydeciduousforests
297 (North Deccan dry deciduous forests)
NorthernIndochinasubtropicalforests
256 (Northern Indochina subtropical forests)
NorthernKhoratPlateaumoistdeciduousforests
257 (Northern Khorat Plateau moist deciduous forests)
NorthernMesoamericanPacificmangroves
614 (Northern Mesoamerican Pacific mangroves)
NorthernNewGuinealowlandrainandfreshwaterswampforests
148 (Northern New Guinea lowland rain and freshwater swamp forests)
NorthernNewGuineamontanerainforests
149 (Northern New Guinea montane rain forests)
NorthernShortgrassprairie
396 (Northern Shortgrass prairie)
NorthernSwahilicoastalforests
25 (Northern Swahili coastal forests)
NorthernTallgrassprairie
397 (Northern Tallgrass prairie)
NorthernThailandLaosmoistdeciduousforests
258 (Northern Thailand-Laos moist deciduous forests)
NorthernTrianglesubtropicalforests
259 (Northern Triangle subtropical forests)
NorthernTriangletemperateforests
307 (Northern Triangle temperate forests)
NorthernVietnamlowlandrainforests
260 (Northern Vietnam lowland rain forests)
Northlandtemperatekauriforests
173 (Northland temperate kauri forests)
NorthwestIberianmontaneforests
800 (Northwest Iberian montane forests)
NorthwestRussianNovayaZemlyatundra
776 (Northwest Russian-Novaya Zemlya tundra)
NorthwestAndeanmontaneforests
486 (Northwest Andean montane forests)
NorthwestCongolianlowlandforests
26 (Northwest Congolian lowland forests)
NorthwestHawaiiscrub
641 (Northwest Hawai''i scrub)
NorthwesternHimalayanalpineshrubandmeadows
760 (Northwestern Himalayan alpine shrub and meadows)
Aravalliwestthornscrubforests
314 (Aravalli west thorn scrub forests)
NovosibirskIslandsArcticdesert
777 (Novosibirsk Islands Arctic desert)
NujiangLangcangGorgealpineconiferandmixedforests
704 (Nujiang Langcang Gorge alpine conifer and mixed forests)
NullarborPlainsxericshrublands
212 (Nullarbor Plains xeric shrublands)
NyangaChimanimaniMontaneforestgrassland
85 (Nyanga-Chimanimani Montane forest-grassland)
Oaxacanmontaneforests
487 (Oaxacan montane forests)
Ogasawarasubtropicalmoistforests
626 (Ogasawara subtropical moist forests)
OgilvieMacKenziealpinetundra
419 (Ogilvie-MacKenzie alpine tundra)
Okanogandryforests
362 (Okanogan dry forests)
OkhotskManchuriantaiga
715 (Okhotsk-Manchurian taiga)
OrdosPlateausteppe
761 (Ordos Plateau steppe)
OrinocoDeltaswampforests
488 (Orinoco Delta swamp forests)
Orinocowetlands
583 (Orinoco wetlands)
Orissasemievergreenforests
261 (Orissa semi-evergreen forests)
OzarkHighlandsmixedforests
340 (Ozark Highlands mixed forests)
OzarkMountainforests
341 (Ozark Mountain forests)
PacificCoastalMountainicefieldsandtundra
420 (Pacific Coastal Mountain icefields and tundra)
Palautropicalmoistforests
627 (Palau tropical moist forests)
Palawanrainforests
262 (Palawan rain forests)
Palouseprairie
398 (Palouse prairie)
Pamiralpinedesertandtundra
762 (Pamir alpine desert and tundra)
Panamaniandryforests
541 (Panamanian dry forests)
Pannonianmixedforests
674 (Pannonian mixed forests)
Pantanal
584 (Pantanal)
PantanosdeCentla
489 (Pantanos de Centla)
PantepuiforestsAndshrublands
490 (Pantepui forests & shrublands)
Paraguanaxericscrub
606 (Paraguaná xeric scrub)
Paranafloodedsavanna
585 (Paraná flooded savanna)
Paropamisusxericwoodlands
834 (Paropamisus xeric woodlands)
Patagoniansteppe
578 (Patagonian steppe)
Patiavalleydryforests
542 (PatÃa valley dry forests)
PeninsularMalaysianmontanerainforests
263 (Peninsular Malaysian montane rain forests)
PeninsularMalaysianpeatswampforests
264 (Peninsular Malaysian peat swamp forests)
PeninsularMalaysianrainforests
265 (Peninsular Malaysian rain forests)
Pernambucocoastalforests
491 (Pernambuco coastal forests)
Pernambucointeriorforests
492 (Pernambuco interior forests)
PeruvianYungas
493 (Peruvian Yungas)
PetenVeracruzmoistforests
494 (Petén-Veracruz moist forests)
Pilbarashrublands
213 (Pilbara shrublands)
PindusMountainsmixedforests
801 (Pindus Mountains mixed forests)
PineyWoods
363 (Piney Woods)
PoBasinmixedforests
675 (Po Basin mixed forests)
Ponticsteppe
735 (Pontic steppe)
PrinceCharlesMountainstundra
128 (Prince Charles Mountains tundra)
PuertoRicandryforests
543 (Puerto Rican dry forests)
PuertoRicanmoistforests
495 (Puerto Rican moist forests)
Pugetlowlandforests
364 (Puget lowland forests)
PurusMadeiramoistforests
497 (Purus-Madeira moist forests)
Purusvarzea
496 (Purus várzea)
Pyreneesconiferandmixedforests
676 (Pyrenees conifer and mixed forests)
QaidamBasinsemidesert
835 (Qaidam Basin semi-desert)
QilianMountainsconiferforests
705 (Qilian Mountains conifer forests)
QilianMountainssubalpinemeadows
763 (Qilian Mountains subalpine meadows)
QinLingMountainsdeciduousforests
677 (Qin Ling Mountains deciduous forests)
QionglaiMinshanconiferforests
706 (Qionglai-Minshan conifer forests)
Queenslandtropicalrainforests
150 (Queensland tropical rain forests)
RakiuraIslandtemperateforests
174 (Rakiura Island temperate forests)
RannofKutchseasonalsaltmarsh
312 (Rann of Kutch seasonal salt marsh)
RapaNuiandSalayGomezsubtropicalforests
628 (Rapa Nui and Sala y Gómez subtropical forests)
RedRiverfreshwaterswampforests
266 (Red River freshwater swamp forests)
RedSeaArabianDesertshrublands
837 (Red Sea-Arabian Desert shrublands)
RedSeacoastaldesert
836 (Red Sea coastal desert)
RedSeamangroves
115 (Red Sea mangroves)
RegistanNorthPakistansandydesert
838 (Registan-North Pakistan sandy desert)
Renosterveldshrubland
90 (Renosterveld shrubland)
Richmondtemperateforests
175 (Richmond temperate forests)
RioNegrocampinarana
498 (Rio Negro campinarana)
Rodopemontanemixedforests
678 (Rodope montane mixed forests)
RwenzoriVirungamontanemoorlands
86 (Rwenzori-Virunga montane moorlands)
Saharanhalophytics
745 (Saharan halophytics)
SahelianAcaciasavanna
53 (Sahelian Acacia savanna)
SakhalinIslandtaiga
716 (Sakhalin Island taiga)
Samoantropicalmoistforests
629 (Samoan tropical moist forests)
SanFelixSanAmbrosioIslandstemperateforests
562 (San Félix-San Ambrosio Islands temperate forests)
SanLucanxericscrub
607 (San Lucan xeric scrub)
SantaLuciaMontaneChaparralAndWoodlands
425 (Santa Lucia Montane Chaparral & Woodlands)
SantaMartamontaneforests
499 (Santa Marta montane forests)
SantaMartaparamo
594 (Santa Marta páramo)
SaoTomePrincipeandAnnobonforests
27 (São Tomé, PrÃncipe, and Annobón forests)
Sarmaticmixedforests
679 (Sarmatic mixed forests)
Sayanalpinemeadowsandtundra
764 (Sayan alpine meadows and tundra)
SayanIntermontanesteppe
736 (Sayan Intermontane steppe)
Sayanmontaneconiferforests
707 (Sayan montane conifer forests)
ScandinavianandRussiantaiga
717 (Scandinavian and Russian taiga)
Scandinaviancoastalconiferforests
708 (Scandinavian coastal conifer forests)
ScandinavianMontaneBirchforestandgrasslands
780 (Scandinavian Montane Birch forest and grasslands)
ScotiaSeaIslandstundra
129 (Scotia Sea Islands tundra)
Sechuradesert
608 (Sechura desert)
SelengeOrkhonforeststeppe
737 (Selenge-Orkhon forest steppe)
Seramrainforests
151 (Seram rain forests)
Serengetivolcanicgrasslands
54 (Serengeti volcanic grasslands)
SerradoMarcoastalforests
500 (Serra do Mar coastal forests)
SichuanBasinevergreenbroadleafforests
680 (Sichuan Basin evergreen broadleaf forests)
SierradelaLagunadryforests
544 (Sierra de la Laguna dry forests)
SierradelaLagunapineoakforests
556 (Sierra de la Laguna pine-oak forests)
SierradelosTuxtlas
501 (Sierra de los Tuxtlas)
SierraMadredeChiapasmoistforests
502 (Sierra Madre de Chiapas moist forests)
SierraMadredeOaxacapineoakforests
557 (Sierra Madre de Oaxaca pine-oak forests)
SierraMadredelSurpineoakforests
558 (Sierra Madre del Sur pine-oak forests)
SierraMadreOccidentalpineoakforests
326 (Sierra Madre Occidental pine-oak forests)
SierraMadreOrientalpineoakforests
327 (Sierra Madre Oriental pine-oak forests)
SierraNevadaforests
366 (Sierra Nevada forests)
Simpsondesert
214 (Simpson desert)
Sinaloandryforests
545 (Sinaloan dry forests)
SinuValleydryforests
546 (Sinú Valley dry forests)
SnakeColumbiashrubsteppe
434 (Snake-Columbia shrub steppe)
SocietyIslandstropicalmoistforests
630 (Society Islands tropical moist forests)
SocotraIslandxericshrublands
105 (Socotra Island xeric shrublands)
SolimoesJapuramoistforests
503 (Solimões-Japurá moist forests)
SolomonIslandsrainforests
152 (Solomon Islands rain forests)
SomaliAcaciaCommiphorabushlandsandthickets
55 (Somali Acacia-Commiphora bushlands and thickets)
SonoranSinaloansubtropicaldryforest
324 (Sonoran-Sinaloan subtropical dry forest)
Sonorandesert
435 (Sonoran desert)
SouthAmericanPacificmangroves
615 (South American Pacific mangroves)
SouthAntarcticPeninsulatundra
130 (South Antarctic Peninsula tundra)
SouthApenninemixedmontaneforests
802 (South Apennine mixed montane forests)
SouthCentralRockiesforests
367 (South Central Rockies forests)
SouthChinaVietnamsubtropicalevergreenforests
268 (South China-Vietnam subtropical evergreen forests)
SouthChinaSeaIslands
267 (South China Sea Islands)
SouthDeccanPlateaudrydeciduousforests
298 (South Deccan Plateau dry deciduous forests)
SouthIranNuboSindiandesertandsemidesert
841 (South Iran Nubo-Sindian desert and semi-desert)
NewZealandSouthIslandmontanegrasslands
194 (New Zealand South Island montane grasslands)
NewZealandSouthIslandtemperateforests
172 (New Zealand South Island temperate forests)
SouthOrkneyIslandstundra
131 (South Orkney Islands tundra)
SouthSaharadesert
842 (South Sahara desert)
SouthSiberianforeststeppe
738 (South Siberian forest steppe)
SouthTaiwanmonsoonrainforests
269 (South Taiwan monsoon rain forests)
SouthVictoriaLandtundra
132 (South Victoria Land tundra)
SouthWesternGhatsmoistdeciduousforests
270 (South Western Ghats moist deciduous forests)
SouthWesternGhatsmontanerainforests
271 (South Western Ghats montane rain forests)
SoutheastAustraliatemperateforests
176 (Southeast Australia temperate forests)
SoutheastAustraliatemperatesavanna
192 (Southeast Australia temperate savanna)
SoutheastTibetshrublandsandmeadows
765 (Southeast Tibet shrublands and meadows)
SoutheastUSmixedwoodlandsandsavannas
400 (Southeast US mixed woodlands and savannas)
SoutheastUSconifersavannas
399 (Southeast US conifer savannas)
SoutheastIberianshrubsandwoodlands
803 (Southeast Iberian shrubs and woodlands)
SoutheastIndochinadryevergreenforests
299 (Southeast Indochina dry evergreen forests)
SoutheastPapuanrainforests
153 (Southeast Papuan rain forests)
SouthernAcaciaCommiphorabushlandsandthickets
57 (Southern Acacia-Commiphora bushlands and thickets)
SouthernAfricamangroves
116 (Southern Africa mangroves)
SouthernAnatolianmontaneconiferanddeciduousforests
804 (Southern Anatolian montane conifer and deciduous forests)
SouthernAndeansteppe
595 (Southern Andean steppe)
SouthernAndeanYungas
504 (Southern Andean Yungas)
SouthernAnnamitesmontanerainforests
272 (Southern Annamites montane rain forests)
SouthernAtlanticBrazilianmangroves
616 (Southern Atlantic Brazilian mangroves)
SouthernConeMesopotamiansavanna
586 (Southern Cone Mesopotamian savanna)
SouthernCongolianforestsavanna
58 (Southern Congolian forest-savanna)
SouthernGreatLakesforests
342 (Southern Great Lakes forests)
SouthernHudsonBaytaiga
382 (Southern Hudson Bay taiga)
SouthernIndianOceanIslandstundra
133 (Southern Indian Ocean Islands tundra)
SouthernKoreaevergreenforests
681 (Southern Korea evergreen forests)
SouthernMesoamericanPacificmangroves
617 (Southern Mesoamerican Pacific mangroves)
SouthernNewGuineafreshwaterswampforests
154 (Southern New Guinea freshwater swamp forests)
SouthernNewGuinealowlandrainforests
155 (Southern New Guinea lowland rain forests)
SouthernPacificdryforests
547 (Southern Pacific dry forests)
SouthernRiftMontaneforestgrassland
87 (Southern Rift Montane forest-grassland)
SouthernSwahilicoastalforestsandwoodlands
28 (Southern Swahili coastal forests and woodlands)
SouthernVietnamlowlanddryforests
300 (Southern Vietnam lowland dry forests)
SouthwestAmazonmoistforests
505 (Southwest Amazon moist forests)
SouthwestArabianEscarpmentshrublandsandwoodlands
108 (Southwest Arabian Escarpment shrublands and woodlands)
SouthwestArabianhighlandxericscrub
109 (Southwest Arabian highland xeric scrub)
SouthwestAustraliasavanna
205 (Southwest Australia savanna)
SouthwestAustraliawoodlands
206 (Southwest Australia woodlands)
SouthwestBorneofreshwaterswampforests
273 (Southwest Borneo freshwater swamp forests)
SouthwestIberianMediterraneansclerophyllousandmixedforests
805 (Southwest Iberian Mediterranean sclerophyllous and mixed forests)
SriLankadryzonedryevergreenforests
301 (Sri Lanka dry-zone dry evergreen forests)
SriLankalowlandrainforests
274 (Sri Lanka lowland rain forests)
SriLankamontanerainforests
275 (Sri Lanka montane rain forests)
StPeterandStPaulRocks
609 (St. Peter and St. Paul Rocks)
SucculentKarooxericshrublands
110 (Succulent Karoo xeric shrublands)
Suddfloodedgrasslands
74 (Sudd flooded grasslands)
SuiphunKhankameadowsandforestmeadows
746 (Suiphun-Khanka meadows and forest meadows)
SulaimanRangealpinemeadows
766 (Sulaiman Range alpine meadows)
Sulawesimontanerainforests
157 (Sulawesi montane rain forests)
SuluArchipelagorainforests
276 (Sulu Archipelago rain forests)
Sumatranfreshwaterswampforests
277 (Sumatran freshwater swamp forests)
Sumatranlowlandrainforests
278 (Sumatran lowland rain forests)
Sumatranmontanerainforests
279 (Sumatran montane rain forests)
Sumatranpeatswampforests
280 (Sumatran peat swamp forests)
Sumatrantropicalpineforests
305 (Sumatran tropical pine forests)
Sumbadeciduousforests
165 (Sumba deciduous forests)
SundaShelfmangroves
322 (Sunda Shelf mangroves)
Sundalandheathforests
281 (Sundaland heath forests)
Sundarbansfreshwaterswampforests
282 (Sundarbans freshwater swamp forests)
Sundarbansmangroves
323 (Sundarbans mangroves)
Syrianxericgrasslandsandshrublands
739 (Syrian xeric grasslands and shrublands)
Taiheiyoevergreenforests
682 (Taiheiyo evergreen forests)
Taiheiyomontanedeciduousforests
683 (Taiheiyo montane deciduous forests)
TaimyrCentralSiberiantundra
781 (Taimyr-Central Siberian tundra)
Taiwansubtropicalevergreenforests
283 (Taiwan subtropical evergreen forests)
Taklimakandesert
843 (Taklimakan desert)
Talamancanmontaneforests
506 (Talamancan montane forests)
Tamaulipanmatorral
436 (Tamaulipan matorral)
Tamaulipanmezquital
437 (Tamaulipan mezquital)
TapajosXingumoistforests
507 (Tapajós-Xingu moist forests)
TarimBasindeciduousforestsandsteppe
684 (Tarim Basin deciduous forests and steppe)
TasmanianCentralHighlandforests
177 (Tasmanian Central Highland forests)
Tasmaniantemperateforests
178 (Tasmanian temperate forests)
Tasmaniantemperaterainforests
179 (Tasmanian temperate rain forests)
TehuacanValleymatorral
610 (Tehuacán Valley matorral)
TenasserimSouthThailandsemievergreenrainforests
284 (Tenasserim-South Thailand semi-evergreen rain forests)
TeraiDuarsavannaandgrasslands
311 (Terai-Duar savanna and grasslands)
Texasblacklandprairies
401 (Texas blackland prairies)
Thardesert
318 (Thar desert)
TianShanfoothillaridsteppe
740 (Tian Shan foothill arid steppe)
TianShanmontaneconiferforests
709 (Tian Shan montane conifer forests)
TianShanmontanesteppeandmeadows
767 (Tian Shan montane steppe and meadows)
TibestiJebelUweinatmontanexericwoodlands
844 (Tibesti-Jebel Uweinat montane xeric woodlands)
TibetanPlateaualpineshrublandsandmeadows
768 (Tibetan Plateau alpine shrublands and meadows)
TigrisEuphratesalluvialsaltmarsh
747 (Tigris-Euphrates alluvial salt marsh)
TimorandWetardeciduousforests
166 (Timor and Wetar deciduous forests)
TirariSturtstonydesert
215 (Tirari-Sturt stony desert)
Tongantropicalmoistforests
631 (Tongan tropical moist forests)
TonleSapMekongpeatswampforests
286 (Tonle Sap-Mekong peat swamp forests)
TonleSapfreshwaterswampforests
285 (Tonle Sap freshwater swamp forests)
TorngatMountaintundra
421 (Torngat Mountain tundra)
TransBaikalBaldMountaintundra
782 (Trans-Baikal Bald Mountain tundra)
TransBaikalconiferforests
718 (Trans-Baikal conifer forests)
TransMexicanVolcanicBeltpineoakforests
559 (Trans-Mexican Volcanic Belt pine-oak forests)
TransFlysavannaandgrasslands
188 (Trans Fly savanna and grasslands)
TransantarcticMountainstundra
134 (Transantarctic Mountains tundra)
TrinidadandTobagomoistforest
510 (Trinidad and Tobago moist forest)
TristanDaCunhaGoughIslandsshrubandgrasslands
68 (Tristan Da Cunha-Gough Islands shrub and grasslands)
TrobriandIslandsrainforests
158 (Trobriand Islands rain forests)
Tuamotutropicalmoistforests
632 (Tuamotu tropical moist forests)
Tubuaitropicalmoistforests
633 (Tubuai tropical moist forests)
TumbesPiuradryforests
549 (Tumbes-Piura dry forests)
TyrrhenianAdriaticsclerophyllousandmixedforests
806 (Tyrrhenian-Adriatic sclerophyllous and mixed forests)
UatumaTrombetasmoistforests
511 (Uatumã-Trombetas moist forests)
Ucayalimoistforests
512 (Ucayali moist forests)
UpperGangeticPlainsmoistdeciduousforests
287 (Upper Gangetic Plains moist deciduous forests)
UpperMidwestUSforestsavannatransition
343 (Upper Midwest US forest-savanna transition)
Uralsmontaneforestandtaiga
719 (Urals montane forest and taiga)
Uruguayansavanna
574 (Uruguayan savanna)
Ussuribroadleafandmixedforests
685 (Ussuri broadleaf and mixed forests)
Valdiviantemperateforests
563 (Valdivian temperate forests)
Vanuaturainforests
159 (Vanuatu rain forests)
VenezuelanAndesmontaneforests
513 (Venezuelan Andes montane forests)
Veracruzdryforests
550 (Veracruz dry forests)
Veracruzmoistforests
514 (Veracruz moist forests)
Veracruzmontaneforests
515 (Veracruz montane forests)
VictoriaPlainstropicalsavanna
189 (Victoria Plains tropical savanna)
VogelkopArulowlandrainforests
161 (Vogelkop-Aru lowland rain forests)
Vogelkopmontanerainforests
160 (Vogelkop montane rain forests)
WasatchandUintamontaneforests
368 (Wasatch and Uinta montane forests)
WatsonHighlandstaiga
383 (Watson Highlands taiga)
WestSaharadesert
845 (West Sahara desert)
WestSaharanmontanexericwoodlands
846 (West Saharan montane xeric woodlands)
WestSiberiantaiga
720 (West Siberian taiga)
WestSudaniansavanna
62 (West Sudanian savanna)
WesternAustralianMulgashrublands
216 (Western Australian Mulga shrublands)
WesternCongolianswampforests
29 (Western Congolian swamp forests)
WesternEcuadormoistforests
516 (Western Ecuador moist forests)
WesternEuropeanbroadleafforests
686 (Western European broadleaf forests)
WesternGreatLakesforests
344 (Western Great Lakes forests)
WesternGuineanlowlandforests
30 (Western Guinean lowland forests)
WesternGulfcoastalgrasslands
384 (Western Gulf coastal grasslands)
WesternHimalayanalpineshrubandmeadows
769 (Western Himalayan alpine shrub and meadows)
WesternHimalayanbroadleafforests
308 (Western Himalayan broadleaf forests)
WesternHimalayansubalpineconiferforests
310 (Western Himalayan subalpine conifer forests)
WesternJavamontanerainforests
288 (Western Java montane rain forests)
WesternJavarainforests
289 (Western Java rain forests)
WesternPolynesiantropicalmoistforests
634 (Western Polynesian tropical moist forests)
Westernshortgrassprairie
402 (Western shortgrass prairie)
WesternSiberianhemiborealforests
687 (Western Siberian hemiboreal forests)
Westlandtemperateforests
180 (Westland temperate forests)
WillametteValleyoaksavanna
403 (Willamette Valley oak savanna)
WindwardIslandsmoistforests
517 (Windward Islands moist forests)
WrangelIslandArcticdesert
783 (Wrangel Island Arctic desert)
WyomingBasinshrubsteppe
438 (Wyoming Basin shrub steppe)
XinguTocantinsAraguaiamoistforests
518 (Xingu-Tocantins-Araguaia moist forests)
YamalGydantundra
784 (Yamal-Gydan tundra)
Yaptropicaldryforests
638 (Yap tropical dry forests)
Yapenrainforests
162 (Yapen rain forests)
YarlungZanboaridsteppe
770 (Yarlung Zanbo arid steppe)
YellowSeasalinemeadow
748 (Yellow Sea saline meadow)
Yucatandryforests
551 (Yucatán dry forests)
Yucatanmoistforests
519 (Yucatán moist forests)
YunnanPlateausubtropicalevergreenforests
643 (Yunnan Plateau subtropical evergreen forests)
ZagrosMountainsforeststeppe
688 (Zagros Mountains forest steppe)
ZambezianLimpopomixedwoodlands
66 (Zambezian-Limpopo mixed woodlands)
ZambezianBaikiaeawoodlands
64 (Zambezian Baikiaea woodlands)
Zambeziancoastalfloodedsavanna
75 (Zambezian coastal flooded savanna)
Drymiombowoodlands
42 (Dry miombo woodlands)
Zambezianevergreendryforests
33 (Zambezian evergreen dry forests)
Zambezianfloodedgrasslands
76 (Zambezian flooded grasslands)
Zambezianmopanewoodlands
65 (Zambezian mopane woodlands)
BrazilianAtlanticdryforests
524 (Brazilian Atlantic dry forests)
NorthernCordilleraforests
380 (Northern Cordillera forests)
StHelenascrubandwoodlands
60 (St. Helena scrub and woodlands)
VictoriaBasinforestsavanna
61 (Victoria Basin forest-savanna)
WesternCongolianforestsavanna
63 (Western Congolian forest-savanna)
EastAfricanmontanemoorlands
78 (East African montane moorlands)
QueenCharlotteIslandsconiferforests
365 (Queen Charlotte Islands conifer forests)
NorthernPacificAlaskancoastalforests
360 (Northern Pacific Alaskan coastal forests)
NorthwestTerritoriestaiga
381 (Northwest Territories taiga)
SouthwestArabiancoastalxericshrublands
107 (Southwest Arabian coastal xeric shrublands)
ArabianPersianGulfcoastalplaindesert
811 (Arabian-Persian Gulf coastal plain desert)
SouthArabianplainsandplateaudesert
840 (South Arabian plains and plateau desert)
Arabiandesert
809 (Arabian desert)
Bahamianpineyards
552 (Bahamian pineyards)
IleEuropaandBassasdaIndiaxericscrub
96 (Ile Europa and Bassas da India xeric scrub)
Kamchatkatundra
773 (Kamchatka tundra)
TocantinsPindaremoistforests
508 (Tocantins/Pindare moist forests)
KalaallitNunaatArcticsteppe
417 (Kalaallit Nunaat Arctic steppe)
NorthCascadesconiferforests
358 (North Cascades conifer forests)
NorthernRockiesconiferforests
361 (Northern Rockies conifer forests)
TrindadeMartinVazIslandstropicalforests
509 (Trindade-Martin Vaz Islands tropical forests)
SouthwestArabianmontanewoodlandsandgrasslands
59 (Southwest Arabian montane woodlands and grasslands)
SouthArabianfogwoodlandsshrublandsanddune
56 (South Arabian fog woodlands, shrublands, and dune)
TrinidadandTobagodryforest
548 (Trinidad and Tobago dry forest)
LesserAntilleandryforests
537 (Lesser Antillean dry forests)
NorthAtlanticmoistmixedforests
672 (North Atlantic moist mixed forests)
DronningMaudLandtundra
119 (Dronning Maud Land tundra)
MarieByrdLandtundra
124 (Marie Byrd Land tundra)
Sulawesilowlandrainforests
156 (Sulawesi lowland rain forests)
EastAfricanmontaneforests
8 (East African montane forests)
EasternArcforests
9 (Eastern Arc forests)
Borneomontanerainforests
220 (Borneo montane rain forests)
Kinabalumontanealpinemeadows
313 (Kinabalu montane alpine meadows)
Undefined
-1 (undefined)
NoData
0 (No Data)
CroplandRainfed
10 (Cropland, rainfed)
CroplandRainfedHerbaceousCover
11 (Cropland, rainfed, herbaceous cover)
CroplandRainfedTreeOrShrubCover
12 (Cropland, rainfed, tree or shrub cover)
CroplandIrrigated
20 (Cropland, irrigated or post-flooding)
MosaicCropland
30 (Mosaic cropland (>50%) / natural vegetation (tree, shrub, herbaceous cover) (<50%))
MosaicNaturalVegetation
40 (Mosaic natural vegetation (tree, shrub, herbaceous cover) (>50%) / cropland (<50%))
TreeBroadleavedEvergreenClosedToOpen
50 (Tree cover, broadleaved, evergreen, closed to open (>15%))
TreeBroadleavedDeciduousClosedToOpen
60 (Tree cover, broadleaved, deciduous, closed to open (>15%))
TreeBroadleavedDeciduousClosed
61 (Tree cover, broadleaved, deciduous, closed (>40%))
TreeBroadleavedDeciduousOpen
62 (Tree cover, broadleaved, deciduous, open (15-40%))
TreeNeedleleavedEvergreenClosedToOpen
70 (Tree cover, needleleaved, evergreen, closed to open (>15%))
TreeNeedleleavedEvergreenClosed
71 (Tree cover, needleleaved, evergreen, closed (>40%))
TreeNeedleleavedEvergreenOpen
72 (Tree cover, needleleaved, evergreen, open (15-40%))
TreeNeedleleavedDeciduousClosedToOpen
80 (Tree cover, needleleaved, deciduous, closed to open (>15%))
TreeNedleleavedDeciduousClosed
81 (Tree cover, needleleaved, deciduous, closed (>40%))
TreeNeedleleavedDeciduousOpen
82 (Tree cover, needleleaved, deciduous, open (15-40%))
TreeMixed
90 (Tree cover, mixed leaf type (broadleaved and needleleaved))
MosaicTreeAndShrub
100 (Mosaic tree and shrub (>50%) / herbaceous cover (<50%))
MosaicHerbaceous
110 (Mosaic herbaceous cover (>50%) / tree and shrub (<50%))
Shrubland
120 (Shrubland)
ShrublandEvergreen
121 (Evergreen shrubland)
ShrublandDeciduous
122 (Deciduous shrubland)
Grassland
130 (Grassland)
LichensAndMosses
140 (Lichens and mosses)
SparseVegetation
150 (Sparse vegetation (tree, shrub, herbaceous cover) (<15%))
SparseTree
151 (Sparse tree (<15%))
SparseShrub
152 (Sparse shrub (<15%))
SparseHerbaceous
153 (Sparse herbaceous cover (<15%))
TreeCoverFloodedFreshOrBrakishWater
160 (Tree cover, flooded, fresh or brakish water)
TreeCoverFloodedSalineWater
170 (Tree cover, flooded, saline water)
ShrubOrHerbaceousCoverFlooded
180 (Shrub or herbaceous cover, flooded, fresh/saline/brakish water)
Urban
190 (Urban areas)
BareAreas
200 (Bare areas)
BareAreasConsolidated
201 (Consolidated bare areas)
BareAreasUnconsolidated
202 (Unconsolidated bare areas)
Water
210 (Water bodies)
SnowAndIce
220 (Permanent snow and ice)
EET
EET
NZ
NZ