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Title: Marine pollution data services

Abstract

The Nat'l Oceanographic Data Center of NOAA is responsible for building and maintaining a global data base on the physical, chemical, and biological properties of world oceans. Data relevant to pollution studies, primarily those associated with oil spills, are included. Inventory and retrieval systems utilized are described. International programs provide extensive data for this marine pollution information service. (1 diagram, 1 map, 2 photos)

Authors:
Publication Date:
Research Org.:
NOAA
OSTI Identifier:
6794672
Resource Type:
Journal Article
Journal Name:
EDIS; (United States)
Additional Journal Information:
Journal Volume: 11
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 02 PETROLEUM; OCEANOGRAPHY; INFORMATION SYSTEMS; WATER POLLUTION; DATA BASE MANAGEMENT; DATA ACQUISITION SYSTEMS; GLOBAL ASPECTS; OIL SPILLS; MANAGEMENT; POLLUTION; 520200* - Environment, Aquatic- Chemicals Monitoring & Transport- (-1989); 580500 - Oceanography- (1980-1989); 020900 - Petroleum- Environmental Aspects

Citation Formats

Abram, R J. Marine pollution data services. United States: N. p., 1980. Web.
Abram, R J. Marine pollution data services. United States.
Abram, R J. 1980. "Marine pollution data services". United States.
@article{osti_6794672,
title = {Marine pollution data services},
author = {Abram, R J},
abstractNote = {The Nat'l Oceanographic Data Center of NOAA is responsible for building and maintaining a global data base on the physical, chemical, and biological properties of world oceans. Data relevant to pollution studies, primarily those associated with oil spills, are included. Inventory and retrieval systems utilized are described. International programs provide extensive data for this marine pollution information service. (1 diagram, 1 map, 2 photos)},
doi = {},
url = {https://www.osti.gov/biblio/6794672}, journal = {EDIS; (United States)},
number = ,
volume = 11,
place = {United States},
year = {Mon Sep 01 00:00:00 EDT 1980},
month = {Mon Sep 01 00:00:00 EDT 1980}
}