90 datasets found
  1. a

    Reading Maps

    • hub.arcgis.com
    Updated Oct 23, 2020
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    County of Peoria (2020). Reading Maps [Dataset]. https://hub.arcgis.com/documents/4775c00cc5fa4a7c9901668467c12741
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    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    County of Peoria
    Description

    This poster displays mapping and data processing techniques and is meant for an audience not familiar with map making.

  2. d

    Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot...

    • search.dataone.org
    • knb.ecoinformatics.org
    • +1more
    Updated Jul 7, 2021
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    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers (2021). Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot Ridge, Colorado, USA [Dataset]. http://doi.org/10.15485/1804896
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    Dataset updated
    Jul 7, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers
    Time period covered
    Jan 1, 2008 - Jan 1, 2012
    Area covered
    Description

    This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

  3. a

    Water Reader App

    • city-of-abilene-open-data-abilene.hub.arcgis.com
    Updated May 26, 2021
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    City of Abilene, TX (2021). Water Reader App [Dataset]. https://city-of-abilene-open-data-abilene.hub.arcgis.com/datasets/water-reader-app-
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    Dataset updated
    May 26, 2021
    Dataset authored and provided by
    City of Abilene, TX
    Description

    Water Reader map showing essential water utilities infrastructure for the City of Abilene.

  4. c

    Wells & Bores - By Reading Count

    • opendata.canterburymaps.govt.nz
    • catalogue.data.govt.nz
    • +2more
    Updated Sep 1, 2016
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    Canterbury Regional Council (2016). Wells & Bores - By Reading Count [Dataset]. https://opendata.canterburymaps.govt.nz/maps/wells-bores-by-reading-count
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    Dataset updated
    Sep 1, 2016
    Dataset authored and provided by
    Canterbury Regional Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Locations of groundwater wells and bores, symbolised into classes based on the number of water level readings undertaken on the bore (0 readings, 1-50 readings, and greater than 50 readings).

    Includes summary details about the well (depth, diameter, reference elevation, screen positons, date drilled, primary uses of abstracted water, etc.) It also includes summary details related to water quality monitoring and consented allocation where relevant.Previously named 'Groundwater Wells (by Reading Count)' prior to November 2019This layer is updated daily via an automated process.

  5. Shawnee National Forest Geospatial Data

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 22, 2025
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    USDA Forest Service (2025). Shawnee National Forest Geospatial Data [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Shawnee_National_Forest_Geospatial_Data/24661920
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    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    USDA Forest Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    GIS data is available on the Forest’s FTP site in the form of “shape files” or layers and is available free for downloading. To utilize these data layers you will need a program that uses the Geographic Information System (GIS) such as ESRI’s ArcMap, ArcView or the free map reading program ArcGIS Explorer. ArcGIS Explorer has tools that let you zoom in/out, print the map, and query data. It also has map tips to identify features, and a help menu. ArcGIS Explorer is available as a free download from the ESRI website. Included is a list of GIS data files available for the Shawnee National Forest. These GIS data files are updated on a continuing basis. It should be noted that this data may have been developed from sources of differing accuracy, accurate only at certain scales, based on modeling or interpretation, or incomplete while being created or revised. Overall accuracy, completeness and timeliness may vary. The following geospatial information/data was prepared by the Shawnee National Forests (US Forest Service). The Forest Service reserves the right to correct, update, modify or replace GIS data without notification. Resources in this dataset:Resource Title: Geospatial Data. File Name: Web Page, url: https://www.fs.usda.gov/main/shawnee/landmanagement/gis Information about the geospatial data and a ftp link to download Forest GIS Data Shapefiles.

  6. w

    Washington Division of Geology and Earth Resources, 2010, Surface Geology,...

    • data.wu.ac.at
    zip
    Updated Dec 4, 2017
    + more versions
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    (2017). Washington Division of Geology and Earth Resources, 2010, Surface Geology, 1:500,000 Scale [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ODkxZWMwZjktMzY4ZC00NDVhLWIzZTItMzk2NDUyMDVkNzg5
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    zipAvailable download formats
    Dataset updated
    Dec 4, 2017
    Area covered
    fe898ab574d5151bbc37e4252e94e41336af0daa
    Description

    Surface geology, 1:500,000 scale, downloadable GIS data, June 2010, version 3. Downloadable GIS data includes: One ESRI ArcGIS 9.3 geodatabase, consisting of a set of 8 feature classes; Metadata for each feature class, in HTML format (for ease of reading outside of GIS software); One ArcGIS map document (ending in the .mxd extension), containing specifications for data presentation in ArcMap; One ArcGIS layer file for each feature class (ending in the .lyr extension), containing specifications for data presentation in the free ArcGIS Explorer (as well as ArcMap); README file.

  7. v

    Update CSV item in ArcGIS

    • anrgeodata.vermont.gov
    Updated Mar 18, 2022
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    ArcGIS Survey123 (2022). Update CSV item in ArcGIS [Dataset]. https://anrgeodata.vermont.gov/documents/dc69467c3e7243719c9125679bbcee9b
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    Dataset updated
    Mar 18, 2022
    Dataset authored and provided by
    ArcGIS Survey123
    Description

    ArcGIS Survey123 utilizes CSV data in several workflows, including external choice lists, the search() appearance, and pulldata() calculations. When you need to periodically update the CSV content used in a survey, a useful method is to upload the CSV files to your ArcGIS organization and link the CSV items to your survey. Once linked, any updates to the CSV items will automatically pull through to your survey without the need to republish the survey. To learn more about linking items to a survey, see Linked content.This notebook demonstrates how to automate updating a CSV item in your ArcGIS organization.Note: It is recommended to run this notebook on your computer in Jupyter Notebook or ArcGIS Pro, as that will provide the best experience when reading locally stored CSV files. If you intend to schedule this notebook in ArcGIS Online or ArcGIS Notebook Server, additional configuration may be required to read CSV files from online file storage, such as Microsoft OneDrive or Google Drive.

  8. d

    Archive: 3.07 3rd Grade Reading Level Proficiency (dashboard)

    • datasets.ai
    • data.tempe.gov
    • +1more
    21
    Updated Sep 2, 2022
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    City of Tempe (2022). Archive: 3.07 3rd Grade Reading Level Proficiency (dashboard) [Dataset]. https://datasets.ai/datasets/3-07-3rd-grade-reading-level-proficiency-dashboard-4a158
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    21Available download formats
    Dataset updated
    Sep 2, 2022
    Dataset authored and provided by
    City of Tempe
    Description

    This operations dashboard shows historic and current data related to this performance measure.


    The performance measure dashboard is available at 3.07 3rd Grade Reading Level Proficiency.

    Data Dictionary

  9. d

    3.07 AZ Merit Data (summary)

    • catalog.data.gov
    • data-academy.tempe.gov
    • +13more
    Updated Jan 17, 2025
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    City of Tempe (2025). 3.07 AZ Merit Data (summary) [Dataset]. https://catalog.data.gov/dataset/3-07-az-merit-data-summary-55307
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    This page provides data for the 3rd Grade Reading Level Proficiency performance measure.The dataset includes the student performance results on the English/Language Arts section of the AzMERIT from the Fall 2017 and Spring 2018. Data is representive of students in third grade in public elementary schools in Tempe. This includes schools from both Tempe Elementary and Kyrene districts. Results are by school and provide the total number of students tested, total percentage passing and percentage of students scoring at each of the four levels of proficiency. The performance measure dashboard is available at 3.07 3rd Grade Reading Level Proficiency.Additional InformationSource: Arizona Department of EducationContact: Ann Lynn DiDomenicoContact E-Mail: Ann_DiDomenico@tempe.govData Source Type: Excel/ CSVPreparation Method: Filters on original dataset: within "Schools" Tab School District [select Tempe School District and Kyrene School District]; School Name [deselect Kyrene SD not in Tempe city limits]; Content Area [select English Language Arts]; Test Level [select Grade 3]; Subgroup/Ethnicity [select All Students] Remove irrelevant fields; Add Fiscal YearPublish Frequency: Annually as data becomes availablePublish Method: ManualData Dictionary

  10. a

    Data from: Automated License Plate Readers

    • tn-tnmap.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 16, 2023
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    TDOT_GIS (2023). Automated License Plate Readers [Dataset]. https://tn-tnmap.opendata.arcgis.com/items/39625fbbc6c845f2a879af54c135e835
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    Dataset updated
    Nov 16, 2023
    Dataset authored and provided by
    TDOT_GIS
    Area covered
    Description

    Locations of licensed ALPR (Automated License Plate Recognition) cameras on State Right-of-way. This layer will only have ALPR Cameras that are on state owned right-of-way that have received licenses from the Right Of Way Division, Excess Land Office.

  11. v

    VT Data - Zoning 20190708, Reading

    • geodata.vermont.gov
    • hub.arcgis.com
    • +2more
    Updated Feb 5, 2021
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    Mount Ascutney Regional Commission (2021). VT Data - Zoning 20190708, Reading [Dataset]. https://geodata.vermont.gov/datasets/MARCVT::vt-data-zoning-20190708-reading
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    Dataset updated
    Feb 5, 2021
    Dataset authored and provided by
    Mount Ascutney Regional Commission
    Area covered
    Description

    This layer delineates the zoning areas as adopted by the town of Reading VT July 8, 2019.

  12. Focus on Geodatabases in ArcGIS Pro

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Focus on Geodatabases in ArcGIS Pro [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/focus-on-geodatabases-in-arcgis-pro
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    Dataset updated
    Aug 13, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform.Sharing best practices for creating and maintaining data integrity, chapter topics include the careful design of a geodatabase schema, building geodatabases that include data integrity rules, populating geodatabases with existing data, working with topologies, editing data using various techniques, building 3D views, and sharing data on the web. Each chapter includes important concepts with hands-on, step-by-step tutorials, sample projects and datasets, 'Your turn' segments with less instruction, study questions for classroom use, and an independent project. Instructor resources are available by request.AUDIENCEProfessional and scholarly.AUTHOR BIODavid W. Allen has been working in the GIS field for over 35 years, the last 30 with the City of Euless, Texas, and has seen many versions of ArcInfo and ArcGIS come along since he started with version 5. He spent 18 years as an adjunct professor at Tarrant County College in Fort Worth, Texas, and now serves as the State Director of Operations for a volunteer emergency response group developing databases and templates. Mr. Allen is the author of GIS Tutorial 2: Spatial Analysis Workbook (Esri Press, 2016).Pub Date: Print: 6/17/2019 Digital: 4/29/2019 Format: PaperbackISBN: Print: 9781589484450 Digital: 9781589484467 Trim: 7.5 x 9.25 in.Price: Print: $59.99 USD Digital: $59.99 USD Pages: 260

  13. b

    Reading Area Transportation Study - Technical Committee Meeting Minutes:...

    • opendata.berkspa.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Aug 30, 2023
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    County of Berks (2023). Reading Area Transportation Study - Technical Committee Meeting Minutes: 2020-07 [Dataset]. https://opendata.berkspa.gov/documents/62b9c8446e88423698dbb384ff30eaa4
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    Dataset updated
    Aug 30, 2023
    Dataset authored and provided by
    County of Berks
    Description

    Reading Area Transportation Study Technical Committee Meeting Minutes

  14. b

    Reading Area Transportation Study - Technical Committee Meeting Minutes 2024...

    • opendata.berkspa.gov
    • hub.arcgis.com
    • +1more
    Updated Jan 10, 2025
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    County of Berks (2025). Reading Area Transportation Study - Technical Committee Meeting Minutes 2024 03 [Dataset]. https://opendata.berkspa.gov/documents/7f673dabbe8942ffa900ccb8e9132a6f
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    County of Berks
    Description

    Reading Area Transportation Study Technical Committee Meeting Minutes

  15. e

    Data from: Land Cover, 2005, for Town of Reading, Massachusetts - Raster

    • portal.edirepository.org
    • search.dataone.org
    zip
    Updated Apr 14, 2005
    + more versions
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    EDI (2005). Land Cover, 2005, for Town of Reading, Massachusetts - Raster [Dataset]. http://doi.org/10.6073/pasta/8b8b565fe39862f2d07f30c9c3b6949f
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    zipAvailable download formats
    Dataset updated
    Apr 14, 2005
    Dataset provided by
    EDI
    Time period covered
    Apr 9, 2005 - Apr 17, 2005
    Area covered
    Variables measured
    OID, COUNT, VALUE, Landcover
    Description

    This is a seven-category land-cover map of Reading, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

  16. b

    Percentage of 8th Grade Students who Met or Exceeded PARCC Reading

    • data.baltimorecity.gov
    • hub.arcgis.com
    • +1more
    Updated Mar 25, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Percentage of 8th Grade Students who Met or Exceeded PARCC Reading [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::percentage-of-8th-grade-students-who-met-or-exceeded-parcc-reading
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    Dataset updated
    Mar 25, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of 8th grade students who met or exceeded expectations on the PARCC exam for reading. The Partnership for Assessment of Readiness for College and Careers (PARCC) scores measure the number of students scoring in one of three classifications out of all students enrolled in that grade. Students can either be rated as exceeded, met, approached, partially met, or did not meet expectations of a subject. This indicator includes only those students who have tested as exceeded or met expectations. Source: Baltimore City Public School System Years Available: 2015, 2016, 2017

  17. b

    Reading Area Transportation Study - Coordinating Committee Meeting Minutes...

    • opendata.berkspa.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Nov 7, 2024
    + more versions
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    County of Berks (2024). Reading Area Transportation Study - Coordinating Committee Meeting Minutes 2023-09 [Dataset]. https://opendata.berkspa.gov/documents/992675b170cc4a7fa9513a2cdd61543b
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    County of Berks
    Description

    Reading Area Transportation Study Coordinating Committee Meeting Minutes

  18. d

    3.33 Culture of Literacy (summary)

    • catalog.data.gov
    • data.tempe.gov
    • +6more
    Updated Oct 4, 2025
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    City of Tempe (2025). 3.33 Culture of Literacy (summary) [Dataset]. https://catalog.data.gov/dataset/3-33-culture-of-literacy-and-engagement-summary
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    Dataset updated
    Oct 4, 2025
    Dataset provided by
    City of Tempe
    Description

    This data includes literacy rates based on participation numbers for the Maricopa County Library District Summer Reading Program, Tempe Public Library program attendance, Tempe Public Library material circulation, and number of active Tempe Public Library cardholders.The performance measure dashboard is available at 3.33 Culture of Literacy.Data DictionaryAdditional InformationSource: Polaris, Maricopa County Library District, staffContact: Jessica JupitusContact E-Mail: jessica_jupitus@tempe.govData Source Type: ExcelPreparation Method: Department-generated reports from Polaris for materials use per capita and number of active cardholders; reports from the Maricopa County Library District for Summer Reading participations; staff counts of program attendance.Publish Frequency: AnnuallyPublish Method: Manual

  19. Boundary, Ipswich Watershed, North Reading, Massachusetts - vector

    • dataone.org
    • search.dataone.org
    • +1more
    Updated Mar 11, 2015
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    Jennifer Inzana (2015). Boundary, Ipswich Watershed, North Reading, Massachusetts - vector [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-pie%2F468%2F1
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    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Jennifer Inzana
    Time period covered
    Jan 1, 1880 - May 17, 2013
    Area covered
    Description

    The political boundary datalayer is a polygon representation of town boundaries created from arcs developed from survey coordinates extracted from the 68-volume Harbor and Lands Commission Town Boundary Atlas for the 351 communities (cities and towns) in Massachusetts. The Atlas was published in the early 1900's and is maintained by the Survey Section of Massachusetts Highway Department. For communities with a coastal boundary, MassGIS has collaborated with Massachusetts Water Resources Authority and the Department of Environmental Protection to complete a 1:12000 scale coastline. The boundary for the coastline was defined as being the upland side of tidal flats and rocky inter-tidal zones. Note that the 351 communities are the official municipal names, not including "villages" or other sections of towns. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

  20. e

    Data from: Land Cover, 2005, for Town of North Reading, Massachusetts -...

    • portal.edirepository.org
    • search.dataone.org
    zip
    Updated Apr 14, 2005
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    EDI (2005). Land Cover, 2005, for Town of North Reading, Massachusetts - Vector [Dataset]. http://doi.org/10.6073/pasta/b7469fb0273ed2b81307abf387419497
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    zipAvailable download formats
    Dataset updated
    Apr 14, 2005
    Dataset provided by
    EDI
    Time period covered
    Apr 9, 2005 - Apr 17, 2005
    Area covered
    Variables measured
    FID, Shape, LANDCOVER
    Description

    This is a seven-category land-cover map of North Reading, Massachusetts. The seven categories are: bare soil, coniferous trees, decidous trees, grass, impervious surface, water, and wetlands. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

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County of Peoria (2020). Reading Maps [Dataset]. https://hub.arcgis.com/documents/4775c00cc5fa4a7c9901668467c12741

Reading Maps

Explore at:
Dataset updated
Oct 23, 2020
Dataset authored and provided by
County of Peoria
Description

This poster displays mapping and data processing techniques and is meant for an audience not familiar with map making.

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