This geologic map database is a reproduction of U.S. Geological Survey Miscellaneous Investigations Map I–2362: “Geologic Map and Structure Sections of the Clear Lake Volcanics, Northern California” (Hearn, Donnelly-Nolan, and Goff, 1995). The database consists of a geologic map, three structural cross sections and a table of petrographic data for each map unit by mineral type, abundance, and size. The Clear Lake Volcanics are in the California Coast Ranges about 150 km north of San Francisco. This Quaternary volcanic field has erupted intermittently since 2.1 million years ago. This volcanic field is considered a high-threat volcanic system (Ewert and others, 2005). The adjacent Geysers geothermal field, the largest power-producing geothermal field in the world, is powered by the magmatic heat source for the volcanic field. The geology of parts of the area underlain by the Cache Formation is based on mapping by Rymer (1981); the geology of parts of the areas underlain by the Sonoma Volcanics, Franciscan assemblage, and Great Valley sequence is based on mapping by McLaughlin (1978). Volcanic compositional map units are basalt, basaltic andesite, andesite, dacite, rhyodacite, and rhyolite, based on SiO2 content. Most ages are potassium-argon (K/Ar) ages determined for whole-rock samples and mineral separates by Donnelly-Nolan and others (1981), unless otherwise noted. A few ages are carbon-14 ages or were estimated from geologic relationships. Magnetic polarities are from Mankinen and others (1978; 1981) or were determined in the field by B.C. Hearn, Jr., using a portable fluxgate magnetometer. Thickness for most units is estimated from topographic relief except where drill-hole data were available. This database does not reproduce all elements of the original publication. Omissions include the chart and figures showing erupted volumes of different lava types through time, and the chart and diagram for the correlation of map units. Users of this database are highly encouraged to cross reference this database with the original publication.
International boundaries provided by United Nations Clear Map. The United Nations Clear Map (hereinafter “Clear Map”) is a background reference web mapping service produced to facilitate “the issuance of any map at any duty station, including dissemination via public electronic networks such as Internet” and “to ensure that maps meet publication standards and that they are not in contravention of existing United Nations policies” in accordance with the in the Administrative Instruction on “Regulations for the Control and Limitation of Documentation – Guidelines for the Publication of Maps” of 20 January 1997 (http://undocs.org/ST/AI/189/Add.25/Rev.1) Clear Map is created for the use of the United Nations Secretariat and community. All departments, offices and regional commissions of the United Nations Secretariat including offices away from Headquarters using Clear Map remain bound to the instructions as contained in the Administrative Instruction and should therefore seek clearance from the UN Geospatial Information Section (formerly Cartographic Section) prior to the issuance of their thematic maps using Clear Map as background reference. Disclaimers: The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Credits (Attribution) Produced by: United Nations Geospatial Contributor: UNGIS, UNGSC, Field Missions CONTACT US: Your feedback is appreciated and should be sent directly to: Email:Clearmap@un.org / gis@un.org (UNCLASSIFIED) © UNITED NATIONS 2018 More information on the United Nations Clear Map website at https://geoportal.dfs.un.org/arcgis/sharing/rest/content/items/541557fd0d4d42efb24449be614e6887/data
These data provide an accurate high-resolution shoreline compiled from imagery of Galveston Bay, Clear Lake to La Porte, TX . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
https://www.eumetsat.int/eumetsat-data-licensinghttps://www.eumetsat.int/eumetsat-data-licensing
The Clear-sky Reflectance Map product describes the reflection that would be registered by the solar MTG channels in cloud free conditions, using the actual satellite position and including (possible) atmospheric effects.
The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This map shows predicted E. coli levels -- with bubble size corresponding to predicted level -- and whether the predicted E. coli level was at least 235 Colony Forming Units (CFU) per 100 ml of water (red bubbles).
This map updates daily and its predictions depend on data from https://data.cityofchicago.org/Parks-Recreation/Beach-Lab-Data/2ivx-z93u. It will show no predictions from midnight until the new day's predictions have been generated.
The Digital Geologic-GIS Map of the Clear Creek Mountain Quadrangle, Utah is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (clcm_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (clcm_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (zion_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (zion_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (clcm_geology_metadata_faq.pdf). Please read the zion_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Utah Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (clcm_geology_metadata.txt or clcm_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
Priority 1 Streets in Blue and Priority 2 Streets in Red for clearing of Ice, Snow or other Severe Weather.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This series of 1:250 000 scale colour maps covers the provincial extent of Alberta and is comprised of 50 maps that are individually named using the National Topographic System (NTS) map sheet identifier. These maps display: Alberta Township System (ATS), contours (50m intervals), major hydrographic features, municipalities, major roads, railways, and select geo-administrative features (parks, reserves, etc.).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_112, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no contentShow full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_112, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2014) Cartographic masks for map products GAL112. Bioregional Assessment Source Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/3ac3fc27-aaaa-4fab-bab7-8aabb2ddabee.
Clear Creek Data:
Clear Creek DEM Hillshade Near IR U West - Near Infra-red (NIR) Lidar. Hillshade including canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Hillshade Near IR U East - Near Infra-red (NIR) Lidar. Hillshade including canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Hillshade Near IR F West - Near Infra-red (NIR) Lidar. Hillshade of topograpy without canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Hillshade Near IR F East - Near Infra-red (NIR) Lidar. Hillshade of topograpy without canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Hillshade Green Lidar F West - Green Lidar. Hillshade of topograpy without canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Hillshade Green Lidar F East - Green Lidar. Hillshade of topograpy without canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Near IR Lidar U West - Near Infra-red (NIR) Lidar. DEM including canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Near IR Lidar U East - Near Infra-red (NIR) Lidar. DEM including canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Near IR Lidar F West - Near Infra-red (NIR) Lidar. DEM of topography without canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Near IR Lidar F East - Near Infra-red (NIR) Lidar. DEM of topography without canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Green Lidar F West - Green Lidar. DEM of topography without canopy of western block in the watershed. QA/QC: By NCALM.
Clear Creek DEM Green Lidar F East - Green Lidar. DEM of topography without canopy of eastern block in the watershed. QA/QC: By NCALM.
Clear Creek CSD AQ 2015 - CZO Clear Creek IA - Waveform CSD Digitizer Data - CSD AQ 2015 Data.
Clear Creek CSD AQ 2014 - Green Lidar. Raw Full Waveform Lidar. QA/QC: None.
Clear Creek CSD NIR 2015 - CZO Clear Creek IA - Waveform CSD Digitizer Data - NIR 2015 Data.
Clear Creek CSD NIR 2014 - Near Infra-red (NIR) Lidar. Raw Full Waveform Lidar. QA/QC: None.
Clear Creek NIR - Near Infra-red (NIR) Lidar. Point Cloud data. QA/QC: By NCALM.
Clear Creek AQ_532 - Green Lidar. Point Cloud data. QA/QC: By NCALM.
GIS data in CCW - This dataset contains: * wss_gsmsoil_IA_[2006-07-06].zip = Soil data from SURRGO of the IA state * wss_SSA_IA095_soildb_IA_2003_[2016-09-22].zip = Soil data from SURRGO of watershed IA095. covers another half of CCW *. wss_SSA_IA103_soildb_IA_2003_[2016-09-22].zip = Soil data from SURRGO of watershed IA095. covers half of CCW * CCW_crop_cover_tif.zip = CCW crop cover in 2007 * ClearCreek_Streams.zip = Stream file for Clear Creek watershed in Iowa *. State_of_Iowa.zip = Shape file of the boundary of * ClearCreek_Border.zip = Shape file of the boundary of Iowa State QA/QC: Yes. * CCW 10 DEM - This dataset contains: * n42w093.zip = 10 meter resolution DEM at 42N 93W * n42w092.zip = 10 meter resolution DEM at 42N 92W * n42w091.zip = 10 meter resolution DEM at 42N 91W QA/QC: Yes. * CCW 1m lidar DEM - 1 meter resolution DEM for Clear Creek watershed QA/QC: Yes. * 2m Lidar DEM - 2 meter resolution DEM for Clear Creek watershed QA/QC: Yes.
https://www.nps.gov/gis/liability.htmhttps://www.nps.gov/gis/liability.htm
This map depicts example algae sampling and experiment sites at the lake at Kern Point in Sequoia National Park. Sites including photos and descriptions of activities that may be part of a typical algae survey performed by the Sierra Nevada Network Inventory and Monitoring Program. Sites represent examples of activities that may be part of an algae survey and are not intended to represent actual sites used in real sampling or experiments. Not all photos included in these data points were taken at Kern Point.Map intended for use in: Monroe M and Eddy A. 2020. Clear Waters: Join a Field Crew to Track Change in Sierra Nevada Lakes. Found at https://irma.nps.gov/DataStore/Reference/Profile/2271901. National Park Service, Fort Collins, CO.For additional information, please see: Heard AM and Others. 2012. Sierra Nevada Network Lake Monitoring Protocol: Protocol Narrative. Natural Resource Report. NPS/SIEN/NRR—2012/551. National Park Service. Fort Collins, Colorado (https://irma.nps.gov/DataStore/Reference/Profile/2186803)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset was derived by the Bioregional Assessment Programme. The parent dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.
This dataset contains cartographic mask polygon shapefiles for maps created in COO 230. These polygons are used for clear annotation and to mask-out unwanted features in report maps.
Polygon mask features were created using the 'Features Outline Masks (Cartography)' tool (ArcMap) on annotation layers in maps for product COO 2.3.
For this dataset, masks were created from the annotations created from the following layer (dataset):
Masks polygons were also created for clear visualisation of graticules and state annotation graphics, as well as other cartographic labels and graphics in the same maps.
Bioregional Assessment Programme (2016) Cartographic masks for map products COO 230. Bioregional Assessment Derived Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/a969c477-a943-4ad2-8964-b521ccdc3d19.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract This dataset and its metadata statement were developed for the Bioregional Assessment Programme and are presented here as originally supplied. The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.2. The processes undertaken to produce this dataset are described in the History field in this metadata statement. This dataset has been superseded by Cartographic masks for map products GIP 120 v03. Purpose Cart…Show full descriptionAbstract This dataset and its metadata statement were developed for the Bioregional Assessment Programme and are presented here as originally supplied. The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.2. The processes undertaken to produce this dataset are described in the History field in this metadata statement. This dataset has been superseded by Cartographic masks for map products GIP 120 v03. Purpose Cartographic masks for map products GIP_120, used for clear annotation and masking unwanted features from report maps. Dataset History Rectangular polygon shapefile masks were created around selected feature labels from the following datasets: GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) - GUID: 96ebf889-f726-4967-9964-714fb57d679b Victoria Mining Licences - 13 May 2015 - GUID: c9c1dff4-01c7-4669-a033-d8a9f674cd5a A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (XXXX) Cartographic masks for map products GIP 120 v02. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/39945fcc-d1a7-49c4-a011-ca595c42ec51. Dataset Ancestors Derived From GEODATA TOPO 250K Series 3 Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) Derived From Victoria Mining Licences - 13 May 2015
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.
Cartographic masks for map products COO_120, used for clear annotation and masking unwanted features from report maps.
Masks created using the 'Features Outline Masks (Cartography)' tool on annotation layers within ArcCatalog.
Bioregional Assessment Programme (2015) Cartographic masks for map products COO 120 v02. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/9d711dbb-cfe7-42bc-ab60-f6a1086c33a8.
Clear sheet of Müller's map of Bohemia from 1720. Johann Christoph Müller is an author. It is oriented to the north. It was a scaled down attachment to the large map consisting of 25 map sheets. It was used for quick basic orientation in Bohemia.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).
SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.
SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation. Easily ingest this data to power your map products today.
Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products COO 114, used for clear annotation and masking unwanted features from report maps. Dataset History Masks created using the 'Features Outline Masks (Cartography)' tool on annotation layers (labels) within ArcMap. Dataset Citation Bioregion…Show full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products COO 114, used for clear annotation and masking unwanted features from report maps. Dataset History Masks created using the 'Features Outline Masks (Cartography)' tool on annotation layers (labels) within ArcMap. Dataset Citation Bioregional Assessment Programme (2015) Cartographic masks for map products COO 114. Bioregional Assessment Source Dataset. Viewed 05 July 2017, http://data.bioregionalassessments.gov.au/dataset/f4263e67-6621-4023-b7ec-4f4f7f6e9dda.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset contains a cartographic mask polygon shapefiles for maps created in COO product 1.5. These polygons are used for clear annotation and to mask-out unwanted features in report maps.Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset contains a cartographic mask polygon shapefiles for maps created in COO product 1.5. These polygons are used for clear annotation and to mask-out unwanted features in report maps. Purpose For cartographic use only Dataset History Polygon mask features were created using the 'Features Outline Masks (Cartography)' tool (ArcMap) on annotation layers in maps for product CLM 1.2. For this dataset, masks were created from the annotations created from the following layer (dataset): PopulatedPlaces Feature Class from the "GEODATA TOPO 250K Series 3" dataset (GUID: a0650f18-518a-4b99-a553-44f82f28bb5f). Masks polygons were also created for clear visualisation of graticules and state annotation graphics in the same maps. Dataset Citation Bioregional Assessment Programme (XXXX) Cartographic masks for map products COO 150. Bioregional Assessment Derived Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/43131c46-d0d8-44de-a272-9487c1cd5f2b. Dataset Ancestors Derived From GEODATA TOPO 250K Series 3
This geologic map database is a reproduction of U.S. Geological Survey Miscellaneous Investigations Map I–2362: “Geologic Map and Structure Sections of the Clear Lake Volcanics, Northern California” (Hearn, Donnelly-Nolan, and Goff, 1995). The database consists of a geologic map, three structural cross sections and a table of petrographic data for each map unit by mineral type, abundance, and size. The Clear Lake Volcanics are in the California Coast Ranges about 150 km north of San Francisco. This Quaternary volcanic field has erupted intermittently since 2.1 million years ago. This volcanic field is considered a high-threat volcanic system (Ewert and others, 2005). The adjacent Geysers geothermal field, the largest power-producing geothermal field in the world, is powered by the magmatic heat source for the volcanic field. The geology of parts of the area underlain by the Cache Formation is based on mapping by Rymer (1981); the geology of parts of the areas underlain by the Sonoma Volcanics, Franciscan assemblage, and Great Valley sequence is based on mapping by McLaughlin (1978). Volcanic compositional map units are basalt, basaltic andesite, andesite, dacite, rhyodacite, and rhyolite, based on SiO2 content. Most ages are potassium-argon (K/Ar) ages determined for whole-rock samples and mineral separates by Donnelly-Nolan and others (1981), unless otherwise noted. A few ages are carbon-14 ages or were estimated from geologic relationships. Magnetic polarities are from Mankinen and others (1978; 1981) or were determined in the field by B.C. Hearn, Jr., using a portable fluxgate magnetometer. Thickness for most units is estimated from topographic relief except where drill-hole data were available. This database does not reproduce all elements of the original publication. Omissions include the chart and figures showing erupted volumes of different lava types through time, and the chart and diagram for the correlation of map units. Users of this database are highly encouraged to cross reference this database with the original publication.