This zip file contains several GIS layers related to Peoria Illinois. It is intended to be a demonstration of the various kinds of data layers typically used in GIS, and a simple means of organizing them. The ArcMap.mxd file within the zip archive contains references to the data layers included in the subfolders. The readme file at the top level of the zip archive summarizes the contents of each data folder.

The Digital Geologic-GIS Map of the Parthenon Quadrangle, Arkansas 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 (part_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (part_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (part_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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.) A GIS readme file (buff_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (buff_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 (part_geology_metadata_faq.pdf). Please read the buff_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: 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: Arkansas 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 (part_geology_metadata.txt or part_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, 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).

CDFW BIOS GIS Dataset, Contact: VegCAMP Vegetation Classification and Mapping Program, Description: This vegetation mapping project of Suisun Marsh blends ground-based classification, aerial photo interpretation, and GIS editing and processing. The method is based on the development of a quantitative vegetation classification, which is used to describe the vegetation map units of the marsh. The classification is defined to meet the specifications of the National and State standards for vegetation classification.

This dataset includes the proposed field camp locations for the 2003/04 science expedition to Heard Island, the locations of the camp sites that were used during the expedition and the locations of some of the refuges on the island that were surveyed during the expedition. It is a point dataset stored in the Geographical Information System (GIS). The proposed field camp locations are shown in a map (refer to link below).

Parcels_2003_BACI

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   BES




   Summary

   There is no summary for this item.


   Description


   Parcel Data for Baltimore City obatined from BNIA will all extraneous fields removed. 


   Editing in progress


   The following edits were performed:

   1) Resolved edge matching issues with Baltimore County parcels that border it and fall within the Gwynns Falls Watershed.

   2) BLOCKLOT errors were noted and if necessary corrected. The BLOCKLOT ID is used to link the parcel data to the MD Property View A&T database. It should be pointed out that in some instances a single BLOCKLOT ID in the Property View A&T database may correspond to more than one parcel. There are only 14 instances were a single BLOCKLOT ID corresponds to 4 or more parcels, these are typically railroads, utility, or government properties. In other cases a single BLOCKLOT ID may correspond to two separate parcels that are essentially one property bisected by a road. There are other instances where there appears no logical explanation for a single BLOCKLOT ID corresponding to multiple parcels.


   Credits


   UVM Spatial Analysis Lab


   Use limitations

   There are no access and use limitations for this item.


   Extent



   West -76.713328  East -76.525885 

   North 39.374474  South 39.195051 




   Scale Range

   There is no scale range for this item.

CDFW BIOS GIS Dataset, Contact: Thomas Boullion, Description: This dataset is an ArcView shapefile that provides the locations of the current bank swallow (Riparia riparia) nesting colonies along the Feather River below the Oroville Dam.

PROW_2003_BACI File Geodatabase Feature Class Thumbnail Not Available Tags Biophysical Resources, Land, BES, PROW, Urparian, Public Right-of-Way, Roads Summary BES research Description Public Right-of-Way (PROW) land in Baltimore City (previously referred to as the "urparian" area). PROW land generally consists of all roads and rights of way along roads. This area was delineated using Baltimore City parcel data by identifying all "non-parcel" areas. A cursory analysis of the PROW land indicated that errors of omission were present due to insufficient parcel data. These errors were present in the following census block groups: 245102503031, 245102503032, 245102503033. The parcel data used in this dataset is current as of June 2001. Credits UVM Spatial Analysis Lab Use limitations BES use only. Extent West -76.713430 East -76.526155 North 39.374452 South 39.196871 Scale Range There is no scale range for this item.

AT_2003_BACI_1

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   There are no tags for this item.




   Summary

   There is no summary for this item.


   Description


   MD Property View 2003 A&T Database. For more information on the A&T Database refer to the enclosed documentation. This layer was edited to remove spatial outliers in the A&T Database. Spatial outliers are those points that were not geocoded and as a result fell outside of the Baltimore City Boundary; 416 spatial outliers were removed from this layer. The field BLOCKLOT2 can be used to join this layer with the Baltimore City parcel layer.


   Credits

   There are no credits for this item.


   Use limitations

   There are no access and use limitations for this item.


   Extent



   West -76.713418  East -76.526031 

   North 39.374429  South 39.197452

Very little information is known about the distribution and abundance of snow petrels at the regional scale. This dataset contains locations of bird nests, mostly snow petrels, mapped in the Windmill Islands during the 2002-2003 season. Location of nests were recorded with handheld GPS receivers connected to a pocket PC and stored as a shapefile using Arcpad (ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of data fields is provided in the detailed description of the shapefiles.

Two observers conducted the surveys using distinct methodologies, Frederique Olivier (FO) and Drew Lee (DL). Three separate nest location files (ArcView point shapefiles) were produced and correspond to each of the survey methodologies used. Methodology 1 was the use of 200*200 m grid squares in which exhaustive searches were conducted (FO). Methodology 2 was the use of 2 transects within each the 200*200 m grid squares; methodology 3 was the use of 4 small quadrats (ca 25 m) located within the 200*200m grid squares (DL). Nests mapped in a non-systematic manner (not following a specific methodology) are clearly identified within each dataset. Datasets were kept separate due to the uncertainties caused by GPS errors (the same nest may have different locations due to GPS error).

Three separate shapefiles describe survey methodologies:
- one polygon shapefile locates the 200*200 grid sites searched systematically (FO)
- one polygon shapefile locates the small quadrats (DL)
- one line shapefile locates line transects (DL)

Spatial characteristics, date of survey, search effort, number of nests found and other parameters are recorded for the grid sites, transect and quadrats.

See the word document in the file download for more information.

This work has been completed as part of ASAC project 1219 (ASAC_1219).

The fields in this dataset are:

Species
Activity
Type
Entrances
Slope
Remnants
Latitude
Longitude
Date
Snow
Eggchick
Cavitysize
Cavitydepth
Distnn
Substrate
Comments
SitedotID
Aspect
Firstfred
Systematic/Edge/Incidental
RecordCode

The full dataset, including a word document providing further information about the dataset, is publicly available for download from the provided URL.

Also available for download from another URL is polygon data representing flying bird nesting areas. The polygon data was derived from the flying bird nest locations by the Australian Antarctic Data Centre for displaying on maps.

Parcels_2003_BACO File Geodatabase Feature Class Thumbnail Not Available Tags Social Order, Hierarchy, Territory, Social Institutions, Government, Parcels, BES, Cadastral Summary BES Research Description Baltimore County parcel data whose mapping zones fall within the Gwynns Falls watershed . Parcel edgematching issues between the original 3 parcel layers (as_area3_assess, ph3a2_assess, phase4_assess) and Baltimore City parcel data were resolved. As of 06/18/04 editing is still underway. Metadata for this dataset is incomplete. Credits UVM Spatial Analysis Lab Use limitations BES use only Extent West -76.908689 East -76.418666 North 39.590134 South 39.209697 Scale Range There is no scale range for this item.

The District of Columbia’s Data program is pleased to offer the enterprise GIS geodatabase archive. This product offers a historic snapshot of the DC GIS data. The data consists of the GIS mapping layers and are exported as shapefiles. The date format in the named is "Archive_YYYYMMDD."

A linear "event" mapped vector dataset representing the traffic count data for 2003. Mapped by route and mile point.

This layer is a point dataset in the Geographical Information System (GIS). Point data represents Australian Antarctic Automatic Weather Stations. The operating dates for all stations is attached in the attribute table. The dataset was compiled in August 2003 from the The Australian Antarctic automatic weather station dataset http://aws.acecrc.org.au/datapage.html

The Digital Geologic-GIS Map of Buffalo National River and Vicinity, Arkansas 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 (buff_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 (buff_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (buff_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.) A GIS readme file (buff_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (buff_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 (buff_geology_metadata_faq.pdf). Please read the buff_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: https://www.google.com/earth/versions/. 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: Arkansas Geological Survey 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 (buff_geology_metadata.txt or buff_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 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).

The Unpublished Digital Geologic-GIS Map of the Snowball Quadrangle, Arkansas is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (snwb_geology.gdb), a 10.1 ArcMap (.mxd) map document (snwb_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (buff_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (buff_geology_gis_readme.pdf). Please read the buff_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. 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). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Arkansas 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 (snwb_geology_metadata.txt or snwb_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 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: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 15N. The data is within the area of interest of Buffalo National River.

The Digital Geologic-GIS Map of the Eula Quadrangle, Arkansas 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 (eula_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (eula_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (eula_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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.) A GIS readme file (buff_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (buff_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 (eula_geology_metadata_faq.pdf). Please read the buff_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: 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: Arkansas 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 (eula_geology_metadata.txt or eula_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, 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).

Topographical data collected as part of a GPS Survey during the Australian Antarctic Program's 2003/04 expedition on Heard Island. The data are available for downloading as a spreadsheet. The locations include 'Clay Pipe Creek', an unofficial locality name used since the 1980s. The creek was mapped to provide spatial reference for this name. A line representing this creek is available as a shapefile.

Peoria County contracted with the Surdex Corporation to receive aerial imagery during spring leaf-off in 2003. The aerial imagery covers the Peoria County boundary extent with resolutions of one foot in rural areas and six inches in the Peoria metro area. The data is available for download in zip file format. The zip file contains aerial imagery in a MrSID compressed format. Each MrSID image covers an extent of a township boundary in Peoria County. Higher quality imagery in TIF format is available upon request. The delivery areas of the TIF imagery are in shapefile format and can be provided in a zip file. Please contact us if you would like a copy of the data.Contact InformationPeoria County GISEmail: gis@peoriacounty.orgPhone: 309-495-4840The aerial imagery is bound to the Peoria County GIS Open Data License Agreement which can be found here: https://data-peoriacountygis.opendata.arcgis.com/pages/peoria-county-gis-open-data-license-agreement.

The information in the abstract is translated from the archaeological report: Due to construction work in the "Grepen" city block, Borg parish, Norrköping municipality, the Swedish National Heritage Board's Contract Archaeology Service, UV Öst, performed an archaeological assessment (phase 2) and a field evaluation in July 2003. Search trenches were dug in two parts of the block. In the northern and the most low lying parts of the area no ancient monuments were found. In the south-east part of the block a probable Iron Age settlement was discovered. In November 2003 another field evaluation was performed in the south end of the block, due to new development plans. Only a few features, damaged by ploughing, were discovered.

Purpose:

The information in the purpose is translated from the archaeological report: The purpose of the field evaluation was to determine the type, intensity and extent of archaeological remains adjacent to previously registered remains. The aim was also to document and, if possible, date the features and artefacts, and to point out areas with no archaeological remains. The purpose of the desk-based assessment was to determine whether there were any archaeological remains within the development area. The purpose of the field evaluation of November 2003 was to determine whether the new development area contained any archaeological remains.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

Spring 2003 Aerial Photography. Flown March 2003 time frame. 1 foot resolution.