100+ datasets found
  1. a

    AOE analysis subset of the Arthropod Easy Capture (AEC) database

    • spatialdiscovery-ucsb.opendata.arcgis.com
    • figshare.com
    • +2more
    Updated Jun 1, 2016
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    University of California, Santa Barbara (2016). AOE analysis subset of the Arthropod Easy Capture (AEC) database [Dataset]. https://spatialdiscovery-ucsb.opendata.arcgis.com/datasets/890dc2eae81b41ae9b1562339137248f
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    Dataset updated
    Jun 1, 2016
    Dataset authored and provided by
    University of California, Santa Barbara
    Area covered
    Description

    Based on the default parameters used in the analysis, the entire AOE database available through figshare (doi: 10.6084/m9.figshare.2060979), represents a subset of the AMNH instance of the AEC database, which includes additional tables to capture host plant data and host analysis.

    1) Miridae subFamily(id) =Mirinae(id:8150), Orthotylinae(id:6294), Phylinae(id:6295), Deraeocorinae(id:8163) from AEC database sql. 2) geographic range: North America Country.UID = Canada(id:2),Mexico(id:8),USA(id:11) 3) complete plant host analysis 4) cleaned plant host data

  2. GIS BIM Integration High Level Global Report

    • aec-esri-chile-esrichile.hub.arcgis.com
    Updated Aug 23, 2022
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    ESRI Chile S.A. (2022). GIS BIM Integration High Level Global Report [Dataset]. https://aec-esri-chile-esrichile.hub.arcgis.com/documents/d74838172f8d4760aa661d8167617c63
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    Dataset updated
    Aug 23, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Esri Chile S.A.
    Authors
    ESRI Chile S.A.
    Description

    Reporte llamado "GIS and BIM Integration: A High Level Global Report" publicado por Geospatial World.Enlace: Free Download - GIS AND BIM Integration for Sustainable AEC Industry Practices Report (geospatialworld.net)

  3. a

    SFWMD Arc Hydro Database (FGDB Download)

    • geo-sfwmd.hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +2more
    Updated Aug 5, 2024
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    South Florida Water Management District (2024). SFWMD Arc Hydro Database (FGDB Download) [Dataset]. https://geo-sfwmd.hub.arcgis.com/datasets/b641763000d945bbade7b0db2ea75976
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    Dataset updated
    Aug 5, 2024
    Dataset authored and provided by
    South Florida Water Management Districthttps://www.sfwmd.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This is a file geodatabase download of SFWMD Arc Hydro Enhanced Database (AHED). This database includes hydrography feature classes such as canals, structures, and drainage areas.The Arc Hydro Enhanced Database (AHED) provides a geographically comprehensive database of hydrographic data features for the South Florida Water Management District (SFWMD).This file geodatabase includes relationship classes and domains. It contains the following feature classes:BasinSubbasinWatershedSubwatershedHydroedge (Canals)HydrojunctionStructureRainmeshRainAreaWaterbodyThese feature classes are also provided on this site as individual downloads. The AHED data is updated quarterly.

  4. a

    OCS Marine Minerals Lease Areas

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • catalog.data.gov
    • +2more
    Updated Mar 28, 2025
    + more versions
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    Bureau of Ocean Energy Management ArcGIS Online (AGOL) (2025). OCS Marine Minerals Lease Areas [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/31849f4f0c9148a480fca5d1dffb092a
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    Dataset updated
    Mar 28, 2025
    Dataset authored and provided by
    Bureau of Ocean Energy Management ArcGIS Online (AGOL)
    License

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

    Area covered
    Description

    The Federal Outer Continental Shelf (OCS) Marine Mineral (e.g. sand and gravel) Lease Areas layer is maintained by the Bureau of Ocean Energy Management (BOEM), part of the U.S. Department of the Interior. Each lease area polygon defines an area where entities that have entered into or have formally requested a Negotiated Non-Competitive Lease or Memorandum of Agreement with BOEM can dredge sand, gravel, or shell resources from the OCS. Section 8 (k) of the OCS Lands Act (OCSLA), as amended by Public Law 103-426 (enacted in 1994), gives BOEM the authority to negotiate an agreement for the use of OCS sand, gravel, and shell resources for use in: (1) a project for shore protection, beach restoration, or coastal restoration undertaken by a Federal, State, or local government agency; or (2) for use in a construction project funded in whole or in part by, or authorized by, the Federal government. This dataset is a collection of active, completed, expired, and proposed lease areas under BOEM's purview. Attribution consists of OCS lease number, state, project ID, volume of material allocated, borrow area ID, leases status, and administrative chronology of the lease term (e.g. execution and expiration dates). Revisions to this dataset are made on a regular basis by BOEM staff to reflect the current status of OCS marine mineral leasing activity.

  5. a

    Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in...

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis.data.ca.gov
    • +2more
    Updated Apr 4, 2021
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    California Water Boards (2021). Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in California [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/6e9e2a7727ab46f8b76244cff111a4ee
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    Dataset updated
    Apr 4, 2021
    Dataset authored and provided by
    California Water Boards
    Description

    This mapping tool provides a representation of the general watershed boundaries for stream systems declared fully appropriated by the State Water Board. The boundaries were created by Division of Water Rights staff by delineating FASS critical reaches and consolidating HUC 12 sub-watersheds to form FASS Watershed boundaries. As such, the boundaries are in most cases conservative with respect to the associated stream system. However, users should check neighboring FASS Watersheds to ensure the stream system of interest is not restricted by other FASS listings. For more information regarding the Declaration of Fully Appropriated Stream Systems, visit the Division of Water Rights’ Fully Appropriated Streams webpage. How to Use the Interactive Mapping Tool: If it is your first time viewing the map, you will need to click the “OK” box on the splash screen and agree to the disclaimer before continuing. Navigate to your point of interest by either using the search bar or by zooming in on the map. You may enter a stream name, street address, or watershed ID in the search bar. Click on the map to identify the location of interest and one or more pop-up boxes may appear with information about the fully appropriated stream systems within the general watershed boundaries of the identified location. The information provided in the pop-up box may include: (a) stream name, (b) tributary, (c) season declared fully appropriated, (d) Board Decisions/Water Right Orders, and/or (e) court references/adjudications. You may toggle the FAS Streams reference layer on and off to find representative critical reaches associated with the FASS Watershed layer. Please note that this layer is for general reference purposes only and ultimately the critical reach listed in Appendix A of Water Rights Order 98-08 and Appendix A together with any associated footnotes controls. Note: A separate FAS Watershed boundary layer was created for the Bay-Delta Watershed. The Bay-Delta Watershed layer should be toggled on to check if the area of interest is fully appropriated under State Water Board Decision 1594.

  6. ArcGIS Autodesk: Optimizando la Integración CAD, BIM y GIS

    • aec-esri-chile-esrichile.hub.arcgis.com
    • transporte-esri-chile-meps.hub.arcgis.com
    Updated Jan 6, 2022
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    ESRI Chile S.A. (2022). ArcGIS Autodesk: Optimizando la Integración CAD, BIM y GIS [Dataset]. https://aec-esri-chile-esrichile.hub.arcgis.com/items/4b191bd240374ec9b40611fbb82467cf
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    Dataset updated
    Jan 6, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Esri Chile S.A.
    Authors
    ESRI Chile S.A.
    Description

    Ultima edición: Abril 2023

  7. a

    HistoricStreams Arc

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 16, 2016
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    City of Philadelphia (2016). HistoricStreams Arc [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/40816e75554f4d74991aaeca81b5bd26
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    Dataset updated
    Feb 16, 2016
    Dataset authored and provided by
    City of Philadelphia
    Area covered
    Description

    View metadata for key information about this dataset.Data is hand digitized from georeferenced map scans by PWD Office of Watersheds staff. Ellet stream data is supplemented by stream features in the center city area from a GIS layer developed before 2005, which had no metadata.For questions about this dataset, contact raymond.pierdomenico@phila.gov. For technical assistance, email maps@phila.gov.

  8. a

    Plazas

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis.data.mass.gov
    Updated Apr 15, 2020
    + more versions
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    City of Cambridge (2020). Plazas [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/CambridgeGIS::plazas
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    Dataset updated
    Apr 15, 2020
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TYPE type: Stringwidth: 50precision: 0 All types are plazas

  9. Early Design Guidance Applications by Census Tract

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 13, 2020
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    City of Seattle ArcGIS Online (2020). Early Design Guidance Applications by Census Tract [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/SeattleCityGIS::early-design-guidance-applications-by-census-tract-2/geoservice
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    Dataset updated
    Mar 13, 2020
    Dataset provided by
    Authors
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing the number of Early Design Guidance building permits filed with the Seattle Department of Construction and Inspections (SDCI) summarized at the census tract level; available for every year from 2006 through the most recent year of available data.

  10. a

    ECA Liquefaction Prone Areas

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.seattle.gov
    • +1more
    Updated Jul 11, 2023
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    City of Seattle ArcGIS Online (2023). ECA Liquefaction Prone Areas [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/54d60c326ede4a7eba5eb974c1156fd1
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    Dataset updated
    Jul 11, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Description

    Displays areas with liquefaction zones.A polygon feature class that shows liquefaction zones. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer was created in 1995 using data obtained from the USGS. Some edits were made to the edges to better coincide with the City's two foot contour data.Areas of the City subject to ground shaking from seismic hazards that are addressed by Title 22.The Seattle Fault zone as delineated in Troost et al., 2005, The geologic map of Seattle, a progress report, U.S. Geological Survey, Open-file report 2005-1252 , or as the Director determines is more accurately mapped by the U.S. Geological Survey, as set out in a Director's Rule.For more information about the definition of liquefaction zones, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. Updated as needed.

  11. a

    NGGS Schema for GIS as-built submissions

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • ocd-hub-nm-emnrd.hub.arcgis.com
    Updated Aug 12, 2021
    + more versions
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    jlivengood_EMNRD (2021). NGGS Schema for GIS as-built submissions [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/8647a25ac577430987fb8795d34b74d5
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    Dataset updated
    Aug 12, 2021
    Dataset authored and provided by
    jlivengood_EMNRD
    Area covered
    Description

    Empty geodatabase schema for GIS as-built submissions of new gathering pipeline or natural gas gathering system as defined in 19.15.28.9 NMAC.“Natural gas gathering system” means the gathering pipelines and associated facilities that compress, dehydrate, or treat natural gas after the custody transfer point and ending at the connection point with a natural gas processing plant or transmission or distribution system. 19.15.28.7 NMAC.“Gathering pipeline” means a pipeline that gathers natural gas within a natural gas gathering system. 19.15.28.7 NMAC.“Release” No later than July 1st of each year, the operator shall also file with the division an updated system map GIS digitally formatted as-built map of its gathering pipeline or natural gas gathering system, which shall include a GIS layer that identifies the date, location and volume of vented or flared natural gas of each emergency, malfunction and release reported to the division since 19.15.28 NMAC became applicable to the pipeline or system. System Maps will be submitted to OCD in the Esri file geodatabase format.Do not submit Esri shapefile, personal geodatabase, or other raw formats. Do not submit GIS files that were converted to a file geodatabase format without following the required database template.File Geodatabase and feature layers must use an underscore, rather than a period or space, when naming files. (ex. FacID_Date_NGGS)

  12. a

    Data from: Dialysis Centers

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hifld-geoplatform.hub.arcgis.com
    • +5more
    Updated Jan 26, 2024
    + more versions
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    GeoPlatform ArcGIS Online (2024). Dialysis Centers [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/a600e72a409646cc9b617d104ecb5c60
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    Dataset updated
    Jan 26, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Description

    https://rxopen.org/ helps patients find nearby open pharmacies and dialysis centers in areas impacted by disaster. Combining multiple data feeds from the pharmaceutical industry, Rx Open provides the precise location of open centers, closed centers, and those whose status is unknown. This critical information assists government officials in assessing an emergency's impact on public health in a disaster area.

  13. a

    119th Congressional Districts

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hifld-geoplatform.hub.arcgis.com
    Updated Jun 5, 2024
    + more versions
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    GeoPlatform ArcGIS Online (2024). 119th Congressional Districts [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/249971f133504bcaac56e6d2e98c4b67
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    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    Congressional districts are the 444 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states based on census population counts, each state is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable.The 119th Congress is seated from January 2023 through December 2024. In Connecticut, Illinois, and New Hampshire, the Redistricting Data Program (RDP) participant did not define the congressional districts to cover all of the state or state equivalent area. In these areas with no congressional districts defined, the code "ZZ" has been assigned, which is treated as a single congressional district for purposes of data presentation. The TIGER/Line data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts reflect information provided to the Census Bureau by the states by August 31, 2022.Download: https://www2.census.gov/geo/tiger/TGRGDB24/tlgdb_2024_a_us_legislative.gdb.zip Layer: Congressional_DistrictsMetadata: https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/series_tl_2023_cd118.shp.iso.xml

  14. OpenStreetMap 3D Trees (Realistic)

    • opendata.rcmrd.org
    • cacgeoportal.com
    • +2more
    Updated Jun 10, 2022
    + more versions
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    Esri (2022). OpenStreetMap 3D Trees (Realistic) [Dataset]. https://opendata.rcmrd.org/maps/33383da8a75f4d24b4b6a0d0532abe6e
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    Dataset updated
    Jun 10, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

  15. a

    New Residential Units Permitted - Built and Currently Issued by Census Tract...

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.seattle.gov
    • +2more
    Updated Mar 13, 2020
    + more versions
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    City of Seattle ArcGIS Online (2020). New Residential Units Permitted - Built and Currently Issued by Census Tract [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/SeattleCityGIS::new-residential-units-permitted-built-and-currently-issued-by-census-tract
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    Dataset updated
    Mar 13, 2020
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Displacement risk indicator showing the number of new residential units through building construction permits filed with the Seattle Department of Construction and Inspections (SDCI). Summarized at the census tract level; summarized based on the year the permit was issued.

  16. a

    Age Distribution GIS

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    • +1more
    Updated Aug 24, 2022
    + more versions
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    Santa Clara County Public Health (2022). Age Distribution GIS [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/4c80d26bc4124a45925ab292a7ec422f
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Count and percentage of county residents by age groups. Data are summarized at county, city, zip code and census tract of residence. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B01001; data accessed on April 11, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographyt_pop (Numeric): Total populationt0_4 (Numeric): Population count ages less than 5 yearst5_14 (Numeric): Population count ages 5 to 14 yearst15_24 (Numeric): Population count ages 15 to 24 yearst25_34 (Numeric): Population count ages 25 to 34 yearst35_44 (Numeric): Population count ages 35 to 44 yearst45_54 (Numeric): Population count ages 45 to 54 yearst55_64 (Numeric): Population count ages 55 to 64 yearst65over (Numeric): Population count ages 65 years and olderp_0_4 (Numeric): Percent of people ages less than 5 yearsp_5_14 (Numeric): Percent of people ages 5 to 14 yearsp_15_24 (Numeric): Percent of people ages 15 to 24 yearsp_25_34 (Numeric): Percent of people ages 25 to 34 yearsp_35_44 (Numeric): Percent of people ages 35 to 44 yearsp_45_54 (Numeric): Percent of people ages 45 to 54 yearsp_55_64 (Numeric): Percent of people ages 55 to 64 yearsp_65over (Numeric): Percent of people ages 65 years and older

  17. a

    Cameroon GIS data with documents (2016)

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.globalforestwatch.org
    • +2more
    Updated Jan 23, 2017
    + more versions
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    Ministère des Forêts et de la Faune (2017). Cameroon GIS data with documents (2016) [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/ddb3d9d137c04343b4851ead748df55b
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    Dataset updated
    Jan 23, 2017
    Dataset authored and provided by
    Ministère des Forêts et de la Faune
    License

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

    Area covered
    Cameroon
    Description

    This archive contains all the spatial data of the Interactive Forest Atlas of Cameroon in 2016 as well as administrative documents (Decree of classification, Notice to the public, Development plan, final agreements, temporary agreements

  18. a

    COUNTIESSURVEY ARC GENCOAST

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • geo-massdot.opendata.arcgis.com
    Updated May 31, 2022
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    MassGIS - Bureau of Geographic Information (2022). COUNTIESSURVEY ARC GENCOAST [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/massgis::countiessurvey-arc-gencoast/about
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    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Boundaries of Massachusetts' Counties, derived from MassGIS' Municipalities layer with a generalized coastline. Stored as a hosted feature layer within MassGIS' ArcGIS Online organization. Contains both line and area features.View metadata

  19. Integración GNSS con ArcGIS (Parte 2)

    • aec-esri-chile-esrichile.hub.arcgis.com
    • transporte-esri-chile-meps.hub.arcgis.com
    • +1more
    Updated Jun 25, 2022
    + more versions
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    ESRI Chile (2022). Integración GNSS con ArcGIS (Parte 2) [Dataset]. https://aec-esri-chile-esrichile.hub.arcgis.com/items/6753bf0cfd434af28debf09223613ac2
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    Dataset updated
    Jun 25, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    ESRI Chile
    Description

    Debido a la extensión del tema, la integración GNSS con ArcGIS se dividirá en 3 StoryMaps que abarcan las siguientes aspectos y soluciones:

  20. a

    Play Area

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.seattle.gov
    • +2more
    Updated Oct 30, 2023
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    City of Seattle ArcGIS Online (2023). Play Area [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/SeattleCityGIS::play-area-2/explore
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    Dataset updated
    Oct 30, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Play Areas maintained by Seattle Parks and Recreation.Refresh Cycle: WeeklyFeature Class: DPR.PlayArea_PT

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University of California, Santa Barbara (2016). AOE analysis subset of the Arthropod Easy Capture (AEC) database [Dataset]. https://spatialdiscovery-ucsb.opendata.arcgis.com/datasets/890dc2eae81b41ae9b1562339137248f

AOE analysis subset of the Arthropod Easy Capture (AEC) database

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Dataset updated
Jun 1, 2016
Dataset authored and provided by
University of California, Santa Barbara
Area covered
Description

Based on the default parameters used in the analysis, the entire AOE database available through figshare (doi: 10.6084/m9.figshare.2060979), represents a subset of the AMNH instance of the AEC database, which includes additional tables to capture host plant data and host analysis.

1) Miridae subFamily(id) =Mirinae(id:8150), Orthotylinae(id:6294), Phylinae(id:6295), Deraeocorinae(id:8163) from AEC database sql. 2) geographic range: North America Country.UID = Canada(id:2),Mexico(id:8),USA(id:11) 3) complete plant host analysis 4) cleaned plant host data

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