This dataset contains documentation on the 146 global regions used to organize responses to the ArchaeGLOBE land use questionnaire between May 18 and July 31, 2018. The regions were formed from modern administrative regions (Natural Earth 1:50m Admin1 - states and provinces, https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-1-states-provinces/). The boundaries of the polygons represent rough geographic areas that serve as analytical units useful in two respects - for the history of land use over the past 10,000 years (a moving target) and for the history of archaeological research. Some consideration was also given to creating regions that were relatively equal in size. The regionalization process went through several rounds of feedback and redrawing before arriving at the 146 regions used in the survey. No bounded regional system could ever truly reflect the complex spatial distribution of archaeological knowledge on past human land use, but operating at a regional scale was necessary to facilitate timely collaboration while achieving global coverage. Map in Google Earth Format: ArchaeGLOBE_Regions_kml.kmz Map in ArcGIS Shapefile Format: ArchaeGLOBE_Regions.zip (multiple files in zip file) The shapefile format is a digital vector file that stores geographic location and associated attribute information. It is actually a collection of several different file types: .shp — shape format: the feature geometry .shx — shape index format: a positional index of the feature geometry .dbf — attribute format: columnar attributes for each shape .prj — projection format: the coordinate system and projection information .sbn and .sbx — a spatial index of the features .shp.xml — geospatial metadata in XML format .cpg — specifies the code page for identifying character encoding Attributes: FID - a unique identifier for every object in a shapefile table (0-145) Shape - the type of object (polygon) World_ID - coded value assigned to each feature according to its division into one of seventeen ‘World Regions’ based on the geographic regions used by the Statistics Division of the United Nations (https://unstats.un.org/unsd/methodology/m49/), with small changes to better reflect archaeological scholarly communities. These large regions provide organizational structure, but are not analytical units for the study. World_RG - text description of each ‘World Region’ Archaeo_ID - unique identifier (1-146) corresponding to the region code used in the ArchaeoGLOBE land use questionnaire and all ArchaeoGLOBE datasets Archaeo_RG - text description of each region Total_Area - the total area, in square kilometers, of each region Land-Area - the total area minus the area of all lakes and reservoirs found within each region (source: https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-lakes/) PDF of Region Attribute Table: ArchaeoGLOBE Regions Attributes.pdf Excel file of Region Attribute Table: ArchaeoGLOBE Regions Attributes.xls Printed Maps in PDF Format: ArchaeoGLOBE Regions.pdf Documentation of the ArchaeoGLOBE Regional Map: ArchaeoGLOBE Regions README.doc

The USNIC Great Lakes Ice Chart Web Service is made up of Analysis polygon features classes. The Great Lakes Analysis GIS Shapefile and KMZ file are created and loaded into CloudGIS Database for use in the USNIC Great Lakes Ice Chart Web Service from the North American Ice Service daily Great Lakes Analysis coordinated between the U.S. National Ice Center and Canadian Ice Service. The daily Great Lakes Analysis contains SIGRID-3 information on ice conditions that are separated into various fields including total ice concentration, ice types and their respective partial concentrations, and floe size, among others. This analysis is updated daily, valid at 18 UTC, and available at https://usicecenter.gov/Products/GreatLakesData.The SIGRID-3 vector archive format is one of the World Meteorological Organization (WMO) standards for archiving digital ice charts. The U.S National Ice Center (USNIC) creates SIGRID-3 ice charts on a regular basis for a number of regions in the Arctic, Antarctic, Great Lakes and U.S. East Coast. These SIGRID-3 files have two main components: the shapefile containing the ice analysis information (ice polygons and related attributes) and the metadata describing the ice analysis data under the SIGRID-3 format. Current and legacy data for many USNIC products can be found through the USNIC website (https://usicecenter.gov/), the National Snow and Ice Data Center (https://nsidc.org/) or, for the Great Lakes specifically, through the Great Lakes Environmental Research Laboratory (https://www.glerl.noaa.gov/). The joint North American Ice Service analysis from which this USNIC product derives represents ice conditions valid at approximately 1800 UTC but is analyzed from imagery over the preceding 24hrs. Imagery utilized includes synthetic aperture radar (SAR), geostationary imagery such as GOES, polar orbiting imagery such as VIIRS, other optical or infrared sensors prioritized by regency and image quality, and application of an understanding of conditions gained from surface stations, radar, and forecast weather conditions.Update Frequency: Daily at 1800UTCLink to metadataFor questions about the underlying data or other ice datasets, please see https://usicecenter.gov/Contact.Questions/Concerns about the service, please contact the DISS-GIS team.Time Information:This service is not time enabled.

This dataset provides resources for identifying flight lines of interest for the MODIS/ASTER Airborne Simulator (MASTER) instrument based on spatial and temporal criteria. MASTER first flew in 1998 and has ongoing deployments as a Facility Instrument in the NASA Airborne Science Program (ASP). MASTER is a joint project involving the Airborne Sensor Facility (ASF) at the Ames Research Center, the Jet Propulsion Laboratory (JPL), and the Earth Resources Observation and Science Center (EROS). The primary goal of these airborne campaigns is to demonstrate important science and applications research that is uniquely enabled by the full suite of MASTER thermal infrared bands as well as the contiguous spectroscopic measurements of the AVIRIS (also flown in similar campaigns), or combinations of measurements from both instruments. This dataset includes a table of flight lines with dates, bounding coordinates, site names, investigators involved, flight attributes, and associated campaigns for the MASTER Facility Instrument Collection. A shapefile containing flights for all years, a GeoJSON version of the shapefile, and separate KMZ files for each year allow users to visualize flight line locations using GIS software.

The Great Lakes Analysis GIS Shapefile and KMZ file are created from the North American Ice Service daily Great Lakes Analysis coordinated between the U.S. National Ice Center and Canadian Ice Service. The daily Great Lakes Analysis contains SIGRID-3 information on ice conditions that are separated into various fields including total ice concentration, ice types and their respective partial concentrations, and floe size, among others. This analysis is updated daily, valid at 18 UTC, and available at https://usicecenter.gov/Products/GreatLakesData.The SIGRID-3 vector archive format is one of the World Meteorological Organization (WMO) standards for archiving digital ice charts. The U.S National Ice Center (USNIC) creates SIGRID-3 ice charts on a regular basis for a number of regions in the Arctic, Antarctic, Great Lakes and U.S. East Coast. These SIGRID-3 files have two main components: the shapefile containing the ice analysis information (ice polygons and related attributes) and the metadata describing the ice analysis data under the SIGRID-3 format. Current and legacy data for many USNIC products can be found through the USNIC website (https://usicecenter.gov/), the National Snow and Ice Data Center (http://nsidc.org/) or, for the Great Lakes specifically, through the Great Lakes Environmental Research Laboratory (http://www.glerl.noaa.gov/). The joint North American Ice Service analysis from which this USNIC product derives represents ice conditions valid at approximately 1800 UTC but is analyzed from imagery over the preceding 24hrs. Imagery utilized includes synthetic aperture radar (SAR), geostationary imagery such as GOES, polar orbiting imagery such as VIIRS, other optical or infrared sensors prioritized by recency and image quality, and application of an understanding of conditions gained from surface stations, radar, and forecast weather conditions. Link to metadataFor questions about the underlying data or other ice datasets, please see https://usicecenter.gov/Contact.Questions/Concerns about the service, please contact the IDP-GIS team.

🇩🇪 독일 German A social area is defined in the concept ‘Lebenswert Veedel - Bürger- und Sozialraumorientierung in Köln’. Launched in 2006 and adopted by the Council in 2010, the concept is intended to strengthen cooperation and networking between the city, private institutions and the population through projects on topics such as education, sport, culture or community. In 2019, the number of social spaces was expanded from 11 to 15 and the boundaries slightly changed. More information at https://www.stadt-koeln.de/leben-in-koeln/soziales/lebenswert-veedel Explanation of the attributes is attached to the shapefile as CSV. Equivalent to the Statistical quarters, which served as the basis for the layout of the social spaces, some social spaces have exclaves. These are indicated by the addition ‘(Exclave)’ in the attribute Name. Coordinate system Shapefile: ETRS 1989 UTM Zone 32N Coordinate system KMZ & JSON: WGS 1984 The data set Raumbezugssystem Geopackage. contains all spatial data of the municipal subdivision, electoral units and other subdivisions.