This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the Hailey 1 x 2 degree quadrangle, Idaho (Worl and others, 1991). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in Idaho Geological Survey Geologic Map 10 (Worl and others, 1991). The database represents the geology for the 4.4-million-acre map plate at a publication scale of 1:250,000. References: Worl, R.G., Kiilsgaard, T.H., Bennett, E.H., Link, P.K., Lewis, R.S., Mitchell, V.E., Johnson, K.M., and Snyder, L.D., 1991, Geologic map of the Hailey 1 x 2 degree quadrangle, Idaho: Idaho Geological Survey, Geologic Map GM-10, scale 1:250,000; https://www.idahogeology.org/Product/GM-10. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

A fifteen degree grid in latitude and longitude covering the entire world

This webmap displays the percent of population 25 years and over whose highest education completed is associate's degree. This webmap also contains the following layers: City of Corona Limits, State Boundary, County Boundary and Tract Boundary.

Updated Continually

This tile layer can be used as a plain, base map for the master plan

A six degree grid in latitude and longitude covering the entire world

Addresses of buildings, businesses, parks, and open spaces in the City of Cambridge. This dataset contains the complete list of addresses in Cambridge, along with each address's geospatial coordinates and relevant administrative boundaries (e.g., Census block, polling district, public safety area). The dataset does not include individual apartment units.The dataset is sourced from Cambridge's master address and GIS databases. Shapefiles for this data and other Cambridge geospatial data can be found on on the City's GIS Data Dictionary at https://www.cambridgema.gov/GIS/gisdatadictionary

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Data set that contains information on archaeological remains of the pre historic settlement of the Letolo valley on Savaii on Samoa. It is built in ArcMap from ESRI and is based on previously unpublished surveys made by the Peace Corps Volonteer Gregory Jackmond in 1976-78, and in a lesser degree on excavations made by Helene Martinsson Wallin and Paul Wallin. The settlement was in use from at least 1000 AD to about 1700- 1800. Since abandonment it has been covered by thick jungle. However by the time of the survey by Jackmond (1976-78) it was grazed by cattle and the remains was visible. The survey is at file at Auckland War Memorial Museum and has hitherto been unpublished. A copy of the survey has been accessed by Olof Håkansson through Martinsson Wallin and Wallin and as part of a Masters Thesis in Archeology at Uppsala University it has been digitised.

Olof Håkansson has built the data base structure in the software from ESRI, and digitised the data in 2015 to 2017. One of the aims of the Masters Thesis was to discuss hierarchies. To do this, subsets of the data have been displayed in various ways on maps. Another aim was to discuss archaeological methodology when working with spatial data, but the data in itself can be used without regard to the questions asked in the Masters Thesis. All data that was unclear has been removed in an effort to avoid errors being introduced. Even so, if there is mistakes in the data set it is to be blamed on the researcher, Olof Håkansson. A more comprehensive account of the aim, questions, purpose, method, as well the results of the research, is to be found in the Masters Thesis itself. Direkt link http://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A1149265&dswid=9472

Purpose:

The purpose is to examine hierarchies in prehistoric Samoa. The purpose is further to make the produced data sets available for study.

Prehistoric remains of the settlement of Letolo on the Island of Savaii in Samoa in Polynesia

Regression analysis for the degree of human impact.

The data release for the geologic and structure map of the Choteau 1 x 2 degree quadrangle, western Montana, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-1300 (Mudge and others, 2001). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents geospatial data for the geologic map that is published as two plates. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 4.2 million acre, geologically complex Choteau 1 x 2 degree quadrangle, at a publication scale of 1:250,000. The map covers primarily Lewis and Clark, Teton, Powell, Missoula, Lake, and Flathead Counties, but also includes minor parts of Cascade Co ...

The Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 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.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_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 (mima_bedrock_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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: 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: Boston College and U.S. 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 (mima_bedrock_geology_metadata.txt or mima_bedrock_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) 25.4 meters or 83.3 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 Google Earth, ArcGIS, 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).

This feature layer replaces the Master_RC_Geo_July_2022 feature layer. The original name does not change to allow future data updates without generating a new feature layer. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2026. The data was updated in July 2025 based on the July 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version. This feature layer includes: American Red Cross FY'26 Chapter HQ and Region HQ locations; American Red Cross FY'26 Chapter Boundaries; American Red Cross FY'26 Region Boundaries; American Red Cross FY'26 Division Boundaries; American Red Cross FY'26 States Boundaries; American Red Cross FY'26 County Boundaries (with Demographics) and American Red Cross Municipality Boundaries for Puerto Rico.

Raw 1/10th Degree Wind Force Probability data for all wind speeds.

Small Area plan polygons as determined by the planning department of the City of Alexandria. Small Area Plans are the 18 geographic planning areas within the City that together create the City Master Plan. These master plans are guiding documents that provide community-based long-range planning and analysis regarding the physical development and appearance of neighborhoods across the City. Overlay plans are Supplemental plans and amendments to existing Small Area Plans that provide greater standards or regulations. Properties located within the boundaries are subject to the requirements and regulations per the overlay plan in addition to other City standards and policies. If the overlay plan is silent to or does not address a specific issue or topic, the underlying Small Area Plan applies.

Consistency of response to degree of human impact.

This is a geographic dataset of the Master Development Plans (MDP). A MDP is required for any development of two or more phases. The agreement includes the location and widths of proposed streets, lots, blocks, floodplains and easement information.

Regression analysis for the model Yi = a+bXi+εi, where Yi is the degree of human impact from the control data, Xi is the degree of human impact from the participants.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for master of arts degree in geography in the U.S.

Formation transfrontalière UniGR: Master in Border Studies (MA) - Source: UniGR