<dataset xmlns="http://datafed.net/xs/Catalog">
    <data>
        <data_domain>
            <data_domain_abbr>Aerosol</data_domain_abbr>
            <data_domain_name>Aerosol</data_domain_name>
            <data_domain_desc>
            </data_domain_desc>
        </data_domain>
        <dataset_doc>
            <dataset_abbr>Africa_Dust</dataset_abbr>
            <dataset_name>Africa_Dust</dataset_name>
            <dataset_desc>Africa_Dust</dataset_desc>
            <dataset_access_url>http://vortex.plymouth.edu/</dataset_access_url>
            <citation_url>http://vortex.plymouth.edu/</citation_url>
            <icon_small>http://webapps.datafed.net/icon.wsfl?width=50&amp;height=50&amp;draw=text&amp;value=Africa Dust&amp;font_size=8</icon_small>
            <icon_big>http://webapps.datafed.net/icon.wsfl?width=100&amp;height=100&amp;draw=text&amp;value=Africa Dust&amp;font_size=10</icon_big>
        </dataset_doc>
        <provider>
            <provider_abbr>CAPITA</provider_abbr>
            <provider_name>Center of Air Pollution Impact and Trend Analysis</provider_name>
            <provider_desc>
            </provider_desc>
            <provider_url>http://capita.wustl.edu</provider_url>
            <provider_icon_url>http://www.datafed.net/icons/CAPITAIcon50.gif</provider_icon_url>
        </provider>
        <sample_platform>
            <sample_platform_abbr>Network</sample_platform_abbr>
            <sample_platform_name>Monitoring Network</sample_platform_name>
            <sample_platform_desc>
            </sample_platform_desc>
        </sample_platform>
        <sample_method>
            <sample_method_abbr>Point</sample_method_abbr>
            <sample_method_name>Point Sample</sample_method_name>
            <sample_method_desc>
            </sample_method_desc>
        </sample_method>
    </data>
    <PointParamLocTime>
        <dimensions>
            <parameter_dim dim_type="parameter">
                <default_cursor>
param_abbr,param_name,param_unit,scale_min,scale_max,vertical,geoss
"PM_Load","PM_Load","x",0,100,"Surface",""
</default_cursor>
                <granules>
param_abbr,param_name,param_unit,scale_min,scale_max,vertical,geoss
"PM_Load","PM_Load","x",0,100,"Surface",""
"Net_Dust","Net_Dust","x",0,100,"Surface",""
</granules>
            </parameter_dim>
            <location_dim dim_type="location" lon_min="-180" lon_max="180" lat_min="-90" lat_max="90">
                <default_cursor>
					loc_code,lat,lon,elev
					Alcornocales,36.35,-5.533333333,
				</default_cursor>
                <granules>
					loc_code,lat,lon,elev
					Alcoutim,37.4475,-7.459722222,
					Arinaga_GC,27.86916667,-15.38694444,23
					Barcarrota,38.47583333,-6.922777778,293
					Buzanada_TF,28.0725,-16.65277778,308
					Cabo_de_Creus,42.31944444,3.316944444,23
					Campisabalos,41.28111111,-3.133333333,1360
					Bellver,39.56388889,2.622777778,113
					Chamusca,39.35138889,-8.473055556,
					Donana,37.18972222,-6.5225,
					El_Rio_TF,28.145,-16.52361111,500
					Els_Torms,41.4,0.716666667,470
					Fundao,40.13,-7.49,
					Izki,43.64694444,2.501388889,830
					Lamas_de_Olo,41.31027778,-7.750555556,
					Monagrega,40.94583333,0.270833333,
					Monfrague,39.84916667,-5.939722222,376
					Montseny,41.77972222,2.377777778,730
					Morella,40.63611111,-0.092222222,1153
					Mundaka,43.40611111,-2.703888889,116
					Niembro,43.44222222,-4.850277778,134
					Nijar,36.96666667,-2.199722222,
					O_Savinao,43.23111111,-7.699722222,506
					Pagoeta,43.25055556,-2.155,215
					Penausende,41.28333333,-5.866666667,985
					Quinta_da_Magnolia,32.74555556,-16.97444444,
					Risco_Llano,39.51666667,-4.35,1241
					Sardina_GC,27.84833333,-15.4675,158
					Sierra Norte,38.10555556,-5.83,801
					Valderejo,42.87527778,-3.231388889,911
					Viznar,37.23333333,-3.533333333,1265
					Zarra,39.08611111,-1.101944444,885
				</granules>
            </location_dim>
            <time_dim dim_type="time">
                <default_cursor>2006-05-28</default_cursor>
                <sample_periodicity_multiplier>1</sample_periodicity_multiplier>
                <sample_periodicity_unit>day</sample_periodicity_unit>
                <sample_duration>1</sample_duration>
                <time_min>2004-01-01</time_min>
                <time_max>2007-06-01</time_max>
            </time_dim>
        </dimensions>
        <views>
            <map_view view_type="map_view">
                <zoom lon_min="-20" lon_max="10" lat_min="35" lat_max="45" />
                <LocPoint>
                    <access>
                        <access_instructions>common</access_instructions>
                        <data_access_class>map_time_view</data_access_class>
                        <retrieved_data_type>POINT</retrieved_data_type>
                    </access>
                </LocPoint>
            </map_view>
            <time_view view_type="time_view">
                <zoom time_min="2004-01-01" time_max="2007-06-01" />
                <TimePoint>
                    <access>
                        <access_instructions>common</access_instructions>
                        <data_access_class>map_time_view</data_access_class>
                        <retrieved_data_type>POINT</retrieved_data_type>
                    </access>
                </TimePoint>
            </time_view>
            <map_time_view view_type="map_time_view">
                <MapTimePoint>
                    <access>
                        <access_instructions>
							server=sqlbox.me.wustl.edu;database=Africa_Dust;uid=SQLLBOX_uid;pwd=SQLLBOX_passwd::
							select
							location.lat,
							location.lon,
							location.loc_code,
							[[param_abbr]].datetime,
							[[param_abbr]].[[param_abbr]] as [[param_abbr]]
							from location
							inner join [[param_abbr]] on [[param_abbr]].loc_code = location.loc_code
							where
							([[param_abbr]].datetime between '[[datetime_min]]' and '[[datetime_max]]')
							and (location.lat between [[lat_min]] and [[lat_max]])
							and (location.lon between [[lon_min]] and [[lon_max]])
							and (([[do_compare_locs]]=0) or (location.loc_code in ([[loc_code_list]])))
							and (([[do_compare_times]]=0) or ([[param_abbr]].datetime in ([[datetime_list]])))
							[[sql_filter]]
							order by [[param_abbr]].datetime asc, location.lon asc, location.lat asc;
						</access_instructions>
                        <data_access_class>SQL</data_access_class>
                        <retrieved_data_type>POINT</retrieved_data_type>
                    </access>
                </MapTimePoint>
            </map_time_view>
        </views>
    </PointParamLocTime>
</dataset>