The user-friendly guide to coastal planktonic ciliatesEntry ID: GLOBEC_013_UK_001
Abstract: The User Friendly Key to UK Coastal Planktonic Ciliates
Ciliates are an important component of the UK plankton, but are
difficult to identify as present guides are inadequate. This study,
funded by the UK Natural Environmental Research Council's Thematic
Marine Productivity Programme, is assembling and disseminating
relevant observational data on the biodiversity and identification of
planktonic ... ciliates in UK waters. A webpage has been developed
(http://www.liv.ac.uk/ciliate) containing the following information:
1) a series of data-sheets on taxa - For each species there is a
data sheet, comprised of two pages. These sheets are primarily
illustrative, using different fixation and staining methods. We also
provide information such as: key features, measurements, ecological
data, references, a detailed taxonomic description, and lists of
similar species and/or synonyms.
2) Schematic drawings of the major ciliate groups show their
characteristic features. Species affiliated with a group are listed
below the drawing.
3) Common sampling, fixation, and staining techniques for
planktonic ciliates are briefly explained.
4) Terms used in the descriptions are explained and illustrated
5) The references from all sections are combined in an independent list.
6) Instructions lead you through the organisation of the web page
and provide more detailed information about the options.
A computer database on CD-ROM will be created to form a publishable
key to these important microzooplankton.
All pages can be downloaded as PDF-files and printed out in a
standardised format (on letter or A4 paper). On a regular basis we
will add new data sheets of species and update existing data sheets;
updates will be announced via a mailing list.
The information was provided by Dr. D Montagnes to the UK Nerc
Marine Productivity Programme or taken from the project's website
(Click for Interactive Map)
Data Set Citation
Dataset Title: Planktonic Ciliate ProjectOnline Resource: http://www.liv.ac.uk/ciliate/
Start Date: 2002-06-19
Latitude Resolution: 0.25 deg
Longitude Resolution: 0.25 deg
Temporal Resolution: Weekly
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > PRECIPITABLE WATER
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR
ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS
ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD LIQUID WATER/ICE
ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD PRECIPITABLE WATER
OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE
OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE
OCEANS > OCEAN WINDS > SURFACE WINDS
ISO Topic Category
Quality Level-3 automatic QA procedures involve simply evaluating the Level-2B quality flags to determine if observations are valid for Level-3 products.
Data Set Progress
Distribution Media: FTP
Distribution Size: approx. 25 MB per weekly granule
Distribution Format: HDF-EOS
Email: support at remss.com
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City: Santa Rosa
Province or State: California
Postal Code: 95401
Phone: (707) 545-2904
Fax: (707) 545-2906
Email: thomas at remss.com
Remote Sensing Systems 438 First Street Suite 200
City: Santa Rosa
Province or State: CA
Postal Code: 95401
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL: Global Hydrology and Climate Center.
Meissner, Thomas and Frank J. Wentz. 2004. The Complex Dielectric Constant of Pure and Sea Water from Microwave Satellite Observations. IEEE TGARS 42(9): 1836 Â 1849.
Meissner, Thomas and Frank J. Wentz. 2006. Ocean Retrievals for WindSat: Radiative ... Transfer Model, Algorithm, Validation. CD with proceedings of the 9th Specialist Meeting on Microwave Radiometry and Remote Sensing Applications. San Juan, Puerto Rico, 28 February Â 03 March 2006. IEEE Catalog no. 06EX1174C.
Meissner, Thomas and Frank J. Wentz. 2002. Analysis of the Ocean Surface Wind Direction Signal in Passive Microwave Brightness Temperatures. IEEE TGARS 40(6): 1230 Â 1240.
Wentz, F. J., and T. Meissner. 2007. Algorithm Theoretical Basis Document: AMSR-E Ocean Algorithms Supplement 1. Santa Rosa, California, USA: Remote Sensing Systems. (View PDF File)
Wentz, F. and T. Meissner. 2000. AMSR Ocean Algorithm. Algorithm Theoretical Basis Document, Version 2. Santa Rosa, CA, USA: Remote Sensing Systems.
Wentz, Frank J. 1997. A Well-calibrated Ocean Algorithm for SSM/I. Journal of Geophy. Res 102: 8703 Â 8718. For more information regarding related publications, see the Research Using AMSR-E Data Web page.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2004-02-25
Last DIF Revision Date: 2012-05-03