100+ datasets found
  1. Activity FACTS Common Attributes (Feature Layer)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +5more
    bin
    Updated Jun 21, 2025
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    U.S. Forest Service (2025). Activity FACTS Common Attributes (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Activity_FACTS_Common_Attributes_Feature_Layer_/25974223
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    binAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    The data in this map service is updated every weekend.Note: This data includes all activities regardless of whether there is a spatial feature attached.Note: This is a large dataset. Metadata and Downloads are available at: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributesTo download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ActivityFactsCommonAttributes_01/MapServer/0 Geodatabase Download Shapefile Download For complete information, please visit https://data.gov.

  2. Overwrite Hosted Feature Services, v2.1.4

    • hub.arcgis.com
    Updated Apr 16, 2019
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    Esri (2019). Overwrite Hosted Feature Services, v2.1.4 [Dataset]. https://hub.arcgis.com/content/d45f80eb53c748e7aa3d938a46b48836
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    Dataset updated
    Apr 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Want to keep the data in your Hosted Feature Service current? Not interested in writing a lot of code?Leverage this Python Script from the command line, Windows Scheduled Task, or from within your own code to automate the replacement of data in an existing Hosted Feature Service. It can also be leveraged by your Notebook environment and automatically managed by the MNCD Tool!See the Sampler Notebook that features the OverwriteFS tool run from Online to update a Feature Service. It leverages MNCD to cache the OverwriteFS script for import to the Notebook. A great way to jump start your Feature Service update workflow! RequirementsPython v3.xArcGIS Python APIStored Connection Profile, defined by Python API 'GIS' module. Also accepts 'pro', to specify using the active ArcGIS Pro connection. Will require ArcGIS Pro and Arcpy!Pre-Existing Hosted Feature ServiceCapabilitiesOverwrite a Feature Service, refreshing the Service Item and DataBackup and reapply Service, Layer, and Item properties - New at v2.0.0Manage Service to Service or Service to Data relationships - New at v2.0.0Repair Lost Service File Item to Service Relationships, re-enabling Service Overwrite - New at v2.0.0'Swap Layer' capability for Views, allowing two Services to support a View, acting as Active and Idle role during Updates - New at v2.0.0Data Conversion capability, able to invoke following a download and before Service update - New at v2.0.0Includes 'Rss2Json' Conversion routine, able to read a RSS or GeoRSS source and generate GeoJson for Service Update - New at v2.0.0Renamed 'Rss2Json' to 'Xml2GeoJSON' for its enhanced capabilities, 'Rss2Json' remains for compatability - Revised at v2.1.0Added 'Json2GeoJSON' Conversion routine, able to read and manipulate Json or GeoJSON data for Service Updates - New at v2.1.0Can update other File item types like PDF, Word, Excel, and so on - New at v2.1.0Supports ArcGIS Python API v2.0 - New at v2.1.2RevisionsSep 29, 2021: Long awaited update to v2.0.0!Sep 30, 2021: v2.0.1, Patch to correct Outcome Status when download or Coversion resulted in no change. Also updated documentation.Oct 7, 2021: v2.0.2, workflow Patch correcting Extent update of Views when Overwriting Service, discovered following recent ArcGIS Online update. Enhancements to 'datetimeUtil' Support script.Nov 30, 2021: v2.1.0, added new 'Json2GeoJSON' Converter, enhanced 'Xml2GeoJSON' Converter, retired 'Rss2Json' Converter, added new Option Switches 'IgnoreAge' and 'UpdateTarget' for source age control and QA/QC workflows, revised Optimization logic and CRC comparison on downloads.Dec 1, 2021: v2.1.1, Only a patch to Conversion routines: Corrected handling of null Z-values in Geometries (discovered immediately following release 2.1.0), improve error trapping while processing rows, and added deprecation message to retired 'Rss2Json' conversion routine.Feb 22, 2022: v2.1.2, Patch to detect and re-apply case-insensitive field indexes. Update to allow Swapping Layers to Service without an associated file item. Added cache refresh following updates. Patch to support Python API 2.0 service 'table' property. Patches to 'Json2GeoJSON' and 'Xml2GeoJSON' converter routines.Sep 5, 2024: v2.1.4, Patch service manager refresh failure issue. Added trace report to Convert execution on exception. Set 'ignore-DataItemCheck' property to True when 'GetTarget' action initiated. Hardened Async job status check. Update 'overwriteFeatureService' to support GeoPackage type and file item type when item.name includes a period, updated retry loop to try one final overwrite after del, fixed error stop issue on failed overwrite attempts. Removed restriction on uploading files larger than 2GB. Restores missing 'itemInfo' file on service File items. Corrected false swap success when view has no layers. Lifted restriction of Overwrite/Swap Layers for OGC. Added 'serviceDescription' to service detail backup. Added 'thumbnail' to item backup/restore logic. Added 'byLayerOrder' parameter to 'swapFeatureViewLayers'. Added 'SwapByOrder' action switch. Patch added to overwriteFeatureService 'status' check. Patch for June 2024 update made to 'managers.overwrite' API script that blocks uploads > 25MB, API v2.3.0.3. Patch 'overwriteFeatureService' to correctly identify overwrite file if service has multiple Service2Data relationships.Includes documentation updates!

  3. a

    MapSAR Template Feature Layer

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    Updated Oct 21, 2017
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    NAPSG Foundation (2017). MapSAR Template Feature Layer [Dataset]. https://hub.arcgis.com/maps/f412081560ec4074ac16e2161f7d5def
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    Dataset updated
    Oct 21, 2017
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Description

    IMPORTANT: This is the source of the feature layer template in the LearnArcGIS Lesson: Prepare for SAR Incidents and for the MapSAR Solution. If this layer is cloned or copied, the owner of the items needs to update the item details to reflect this. Purpose: This is a feature layer template for use in missing person search operations. It is based on the MapSAR (ArcGIS Desktop) Data Model but simplified for use in web maps and apps. Please see MapSAR GitHub for more information on this project.Maps are at the core of any Search and Rescue (SAR) operation. Geographic information system (GIS) software allows rescue personnel to quickly generate maps that depict specific aspects of the operation and show what is happening on the ground over time. The maps and operations data can be shared over a network to supply an enhanced common operating picture throughout the Incident Command Post (ICP). A team of GIS and SAR professionals from Sierra Madre Search and Rescue Team, Esri, Sequoia and Kings Canyon National Park, Yosemite National Park, Grand Canyon National Park, and the Mountaineer Rescue Group came together to develop the tools and instructions to fit established SAR workflows. The goal is to meet the critical need to provide standards, documents, and training to the international SAR community and establish more widespread and effective integration of GIS into operations.See Comments below for updates to the data model.

  4. d

    Public Land Survey Corner (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +3more
    Updated Apr 21, 2025
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    U.S. Forest Service (2025). Public Land Survey Corner (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/public-land-survey-corner-feature-layer-50cdc
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Forest Service
    Description

    Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. Includes points generated by calculating an aliquot breakdown of a section.

  5. a

    Setup - Share spatial information as a Web Feature Layer in ArcGIS Pro

    • resources-gisinschools-nz.hub.arcgis.com
    Updated Jan 13, 2017
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    GIS in Schools - Teaching Materials - New Zealand (2017). Setup - Share spatial information as a Web Feature Layer in ArcGIS Pro [Dataset]. https://resources-gisinschools-nz.hub.arcgis.com/documents/e5652534f1944b9387d70171be086471
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    Dataset updated
    Jan 13, 2017
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    This lesson steps you through sharing spatial data from ArcGIS Pro as a Web Feature Layer.

  6. Range Vegetation Improvement (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +6more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Range Vegetation Improvement (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/range-vegetation-improvement-feature-layer-82b76
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The Range Vegetation Improvement feature class depicts the area planned and accomplished areas treated as a part of the Range Vegetation Improvement program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database within the Natural Resource Manager (NRM) suite of applications. Activities are self-reported by Forest Service Units. Metadata

  7. Motor Vehicle Use Map: Roads (Feature Layer)

    • data-usfs.hub.arcgis.com
    • datasets.ai
    • +5more
    Updated Feb 28, 2015
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    U.S. Forest Service (2015). Motor Vehicle Use Map: Roads (Feature Layer) [Dataset]. https://data-usfs.hub.arcgis.com/datasets/motor-vehicle-use-map-roads-feature-layer/api
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    Dataset updated
    Feb 28, 2015
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and NRM Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Data for each individual unit must be verified and proved consistent with the published MVUMs prior to publication.The Forest Service's Natural Resource Manager (NRM) Infrastructure (Infra) is the agency standard for managing and reporting information about inventory of constructed features and land units as well as the permits sold to the general public and to partners. Metadata

  8. Range: Pasture (Feature Layer)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Range: Pasture (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/range-pasture-feature-layer-46dbe
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    Designates boundaries to establish extent of livestock distribution and management within pastures. This is a published layer created by combining GIS data managed by each National Forest and attribute data stored in the Forest Service Infra database application. This dataset is designed for reporting and analysis and is not used to enter or edit data.

  9. Recreation Area Activities (Feature Layer)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +7more
    Updated Jun 5, 2025
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    U.S. Forest Service (2025). Recreation Area Activities (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/recreation-area-activities-feature-layer-ce4a3
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    This dataset contains the recreation opportunity information that the Forest Service collects through the Recreation Portal and shares with the public on https://www.recreation.gov, the Forest Service World Wide Web pages (https://www.fs.usda.gov/) and the Interactive Visitor Map. This recreation data contains detailed descriptions of recreational sites, areas, activities & facilities. This published dataset consists of one point feature class for recreational areas, one spatial view and three related tables such as activities, facilities & rec area advisories. The purpose of each related table is described belowRECAREAACTIVITIES: This related table contains information about the activities that are associated with the rec area.RECAREAFACILITIES: This related table contains information about the amenities that are associated with the rec area.RECAREAADVISORIES: This table contains events, news, alerts and warnings that are associated with the rec area.RECAREAACTIVITIES_V: This spatial view/feature class is generated by joining the RECAREAACTIVITIES table to the RECREATION OPPORTUNITIES Feature Class. Please note that the RECAREAID is the unique identifier present in point feature class and in the related tables as well. The RECAREAID is used as foreign key to access relate records.This published data is updated nightly from an XML feed maintained by the CIO Rec Portal team. This data is intended for public use and distribution. Metadata

  10. d

    Great Basin Montane Watersheds - Streams (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +4more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Great Basin Montane Watersheds - Streams (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/great-basin-montane-watersheds-streams-feature-layer
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Forest Service
    Area covered
    Great Basin
    Description

    Multiple research and management partners collaboratively developed a multiscale approach for assessing the geomorphic sensitivity of streams and ecological resilience of riparian and meadow ecosystems in upland watersheds of the Great Basin to disturbances and management actions. The approach builds on long-term work by the partners on the responses of these systems to disturbances and management actions. At the core of the assessments is information on past and present watershed and stream channel characteristics, geomorphic and hydrologic processes, and riparian and meadow vegetation. In this report, we describe the approach used to delineate Great Basin mountain ranges and the watersheds within them, and the data that are available for the individual watersheds. We also describe the resulting database and the data sources. Furthermore, we summarize information on the characteristics of the regions and watersheds within the regions and the implications of the assessments for geomorphic sensitivity and ecological resilience. The target audience for this multiscale approach is managers and stakeholders interested in assessing and adaptively managing Great Basin stream systems and riparian and meadow ecosystems. Anyone interested in delineating the mountain ranges and watersheds within the Great Basin or quantifying the characteristics of the watersheds will be interested in this report. For more information, visit: https://www.fs.usda.gov/research/treesearch/61573Metadata and Downloads

  11. Research Station Administrative Boundaries (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +7more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Research Station Administrative Boundaries (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/research-station-administrative-boundaries-feature-layer-0d38f
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    These data are a polygon feature class that represents the administrative boundaries of the US Forest Service Research and Development Stations. These territories consist of a collection of states' geographic areas, within which all research and development facilities and lands are managed by a station headquarters.

  12. a

    Street Network

    • hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Sep 19, 2024
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    Miami-Dade County, Florida (2024). Street Network [Dataset]. https://hub.arcgis.com/datasets/89fbd809c1e346c1b975d4cecc2fb5e3
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    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

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

    Area covered
    Description

    This FeatureClass is one of a set of FeatureClasses derived from our main FeatureClass (STREETS), which were created to display information related to our County's streets. This set of derivative products includes the following FeatureClasses: An Arc FeatureClass of Miami-Dade County streets with seamless address ranges. An Arc FeatureClass of Miami-Dade County streets with actual address ranges. An Arc FeatureClass of Miami-Dade County streets in a Coverage Structure. A Polygon FeatureClass of Miami-Dade County streets created from the street base layer using a process called 'buffer'. It was designed for cartographic display purposes and does not have attributes.Updated: Weekly-Sat

  13. National Hydrography Dataset Plus Version 2.1

    • resilience.climate.gov
    • hub.arcgis.com
    • +5more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). National Hydrography Dataset Plus Version 2.1 [Dataset]. https://resilience.climate.gov/maps/4bd9b6892530404abfe13645fcb5099a
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

  14. Research Station Facilities (Feature Layer)

    • s.cnmilf.com
    • agdatacommons.nal.usda.gov
    • +6more
    Updated Apr 21, 2025
    + more versions
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    U.S. Forest Service (2025). Research Station Facilities (Feature Layer) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/research-station-facilities-feature-layer-ce5fc
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    These data are a point feature class that provides the _location of Research and Development's offices across the United States.

  15. Ecological Sections (Feature Layer)

    • agdatacommons.nal.usda.gov
    • datasets.ai
    • +6more
    bin
    Updated Nov 23, 2024
    + more versions
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    U.S. Forest Service (2024). Ecological Sections (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Ecological_Sections_Feature_Layer_/25972390
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    binAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    This data set includes polygons for ecological sections within Subregions within the conterminous United States. This data set contains regional geographic delineations for analysis of ecological relationships across ecological units. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  16. New Zealand Marine Environment Classification Feature Layers

    • hub.arcgis.com
    • anrgeodata.vermont.gov
    • +4more
    Updated Nov 12, 2018
    + more versions
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    National Institute of Water and Atmospheric Research (2018). New Zealand Marine Environment Classification Feature Layers [Dataset]. https://hub.arcgis.com/maps/9104c9b367f14e76ac48af3725d68dac
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    Dataset updated
    Nov 12, 2018
    Dataset authored and provided by
    National Institute of Water and Atmospheric Research
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    New Zealand,
    Description

    The Marine Environment Classification (MEC), a GIS-based environmental classification of the marine environment of the New Zealand region, is an ecosystem-based spatial framework designed for marine management purposes. Developed by NIWA with support from the Ministry for the Environment (MfE), Department of Conservation and Ministry of Fisheries, and with contributions from several other stakeholders, the MEC provides a spatial framework for inventories of marine resources, environmental effects assessments, policy development and design of protected area networks. Two levels of spatial resolution are available within the MEC. A broad scale classification covers the entire EEZ at a nominal spatial resolution of 1 km, whereas the finer scale classification of the Hauraki Gulf region has a nominal spatial resolution of 200 m. Several spatially-explicit data layers describing the physical environment define the MEC. A physically-based classification was chosen because data on these physical variables were available or could be modelled, and because the pattern of the physical environment is a reasonable surrogate for biological pattern, particularly at larger spatial scales. Classes within the classification were defined using multivariate clustering methods. These produce hierarchal classifications that enable the user to delineate environmental variation at different levels of detail and associated spatial scales. Large biological datasets were used to tune the classification, so that the physically-based classes maximised discrimination of variation in biological composition at various levels of classification detail. Thus, the MEC provides a general classification that is relevant to most groups of marine organisms (fishes, invertebrates and chlorophyll) and to ecologically important abiotic variables (e.g., temperature, nutrients).An overview report describing the MEC is available as a PDF file (External Link). The overview report covers the conceptual basis for the MEC and results of testing the classification: MEC Overview (PDF 2.7 MB)See here for a longer description: https://www.niwa.co.nz/coasts-and-oceans/our-services/marine-environment-classification_Item Page Created: 2018-11-12 22:47 Item Page Last Modified: 2025-04-05 20:20Owner: NIWA_OpenDataExclusive Economic Zone (EEZ)No data edit dates availableFields: FID,ENTITY,LAYER,ELEVATION,THICKNESS,COLORMEC EEZ 40 classNo data edit dates availableFields: FID,GRP_40,COUNT_MEC EEZ 20 classNo data edit dates availableFields: FID,GRP_20,COUNT_MEC EEZ 10 classNo data edit dates availableFields: FID,GRP_10,COUNT_MEC EEZ 05 classNo data edit dates availableFields: FID,GRP_5,COUNT_CoastlineNo data edit dates availableFields: FID,NZCOAST_ID,SHAPE_LENG

  17. Motor Vehicle Use Map: Trails (Feature Layer)

    • catalog.data.gov
    • gimi9.com
    • +5more
    Updated Jul 11, 2025
    + more versions
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    U.S. Forest Service (2025). Motor Vehicle Use Map: Trails (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/motor-vehicle-use-map-trails-feature-layer-b6fe4
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only trails with the symbol value of 5-12, 16, 17 are Forest Service System trails and contain data concerning their availability for motorized use. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the EDW. Click this link for full metadata description: Metadata _

  18. W

    USA Flood Hazard Areas

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    • +1more
    csv, esri rest +4
    Updated Jul 14, 2020
    + more versions
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    CA Governor's Office of Emergency Services (2020). USA Flood Hazard Areas [Dataset]. https://wifire-data.sdsc.edu/dataset/usa-flood-hazard-areas
    Explore at:
    geojson, csv, kml, esri rest, html, zipAvailable download formats
    Dataset updated
    Jul 14, 2020
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description
    The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance.

    Dataset Summary

    Phenomenon Mapped: Flood Hazard Areas
    Coordinate System: Web Mercator Auxiliary Sphere
    Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, the Northern Mariana Islands and American Samoa
    Visible Scale: The layer is limited to scales of 1:1,000,000 and larger. Use the USA Flood Hazard Areas imagery layer for smaller scales.
    Publication Date: April 1, 2019

    This layer is derived from the April 1, 2019 version of the National Flood Hazard Layer feature class S_Fld_Haz_Ar. The data were aggregated into eight classes to produce the Esri Symbology field based on symbology provided by FEMA. All other layer attributes are derived from the National Flood Hazard Layer. The layer was projected to Web Mercator Auxiliary Sphere and the resolution set to 1 meter.

    To improve performance Flood Zone values "Area Not Included", "Open Water", "D", "NP", and No Data were removed from the layer. Areas with Flood Zone value "X" subtype "Area of Minimal Flood Hazard" were also removed. An imagery layer created from this dataset provides access to the full set of records in the National Flood Hazard Layer.

    A web map featuring this layer is available for you to use.

    What can you do with this Feature Layer?

    Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.

    ArcGIS Online
    • Add this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.
    • Change the layer’s transparency and set its visibility range
    • Open the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.
    • Change the layer’s style and filter the data. For example, you could change the symbology field to Special Flood Hazard Area and set a filter for = “T” to create a map of only the special flood hazard areas.
    • Add labels and set their properties
    • Customize the pop-up
    ArcGIS Pro
    • Add this layer to a 2d or 3d map. The same scale limit as Online applies in Pro
    • Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Areas up to 1,000-2,000 features can be exported successfully.
    • Change the symbology and the attribute field used to symbolize the data
    • Open table and make interactive selections with the map
    • Modify the pop-ups
    • Apply Definition Queries to create sub-sets of the layer
    This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
  19. O

    City Limits

    • data.sccgov.org
    Updated May 12, 2025
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    (2025). City Limits [Dataset]. https://data.sccgov.org/dataset/City-Limits/8pgt-ak4h
    Explore at:
    tsv, xml, kml, csv, application/geo+json, application/rdfxml, kmz, application/rssxmlAvailable download formats
    Dataset updated
    May 12, 2025
    Description

    Sept 5, 2018This layer was edited to reflect some Reorganizations. See Changes Feature Class for details.=================================================May 1, 2018This layer was edited to reflect some Reorganizations. See Changes Feature Class for details.=================================================April 9, 2018This layer was edited to reflect a Reorganization. See Changes Feature Class for details.=================================================February 2, 2018This layer was edited to reflect a Reorganization. See Changes Feature Class for details.=================================================December 15 2017This layer was edited to reflect a Correction. See Changes Feature Class for details.=================================================December 15 2017The update metadata is now being placed in this Description field so it is more compatible with ArcGIS Pro, and easier to update.=================================================November 17, 2017This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================October 30, 2017This layer was edited to reflect some Adjustments. See Changes Feature Class for details.==================================================September 27, 2017This layer was edited to reflect several Reorganizations. See Changes Feature Class for details.==================================================August 18, 2017This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================June 30, 2017This layer was edited to reflect an Annexation and a Reorganization. See Changes Feature Class for details.==================================================June 12-14, 2017This layer was edited to reflect several Corrections. See Changes Feature Class for details.==================================================April 25, 2017This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================March 16, 2017This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================February 6, 2017This layer was edited to reflect some corrections. See Changes Feature Class for details.==================================================January 19, 2017This layer was edited to reflect a correction. See Changes Feature Class for details.==================================================November 18, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================October 3, 2016This layer was edited to reflect a correction. See Changes Feature Class for details.==================================================September 12, 2016This layer was edited to reflect a reorganization and an annexation. See Changes Feature Class for details.==================================================May 17, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================April 4, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================March 18, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================January 29, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================January 26, 2016This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================December 11, 2015This layer was edited to reflect a Correction-Annexation and an Adjustment. See Changes Feature Class for details.==================================================November 13, 2015This layer was edited to reflect a reorganization. See Changes Feature Class for details.==================================================September 22, 2015This layer was edited to reflect an adjustment. See Changes Feature Class for details.==================================================September 10, 2015This layer was edited to reflect a Reorganization and USA Amendment. See Changes Feature Class for details.==================================================June 12, 2015This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================April 2, 2015This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================March 19, 2015This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================February 19, 2015This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================January 9, 2015This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================December 30, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================December 12, 2014This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================October 7, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================Aug 26-29, 2014This layer was edited to reflect some Corrections. See Changes Feature Class for details.==================================================July 7, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================June 30, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================June 12, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================May 23, 2014This layer was edited to reflect a Correction. See Changes Feature Class for details.==================================================May 9, 2014This layer was edited to reflect a Reorganization and some Annexations. See Changes Feature Class for details.==================================================March 4, 2014This layer was edited to reflect a Reorganization. See Changes Feature Class for details.==================================================February 24, 2014This layer was edited to reflect some Reorganizations. See Changes Feature Class for details.==================================================November 1, 2013This layer was edited to reflect some Reorganizations. See Changes Feature Class for details.==================================================October 7-8, 2013This layer was edited to reflect some changes. See Changes Feature Class for details.==================================================July 15, 2013This layer was edited to reflect an Annexation. See Changes Feature Class for details.==================================================April 29, 2013This layer was edited to reflect several Changes. See Changes Feature Class for details.===================================================March 26-27, 2013This layer was edited to reflect a Correction. See Changes Feature Class for details.===================================================January 17, 2013This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================January 11, 2013This layer was edited to reflect a Correction. See Changes Feature Class for details.===================================================January 8, 2013This layer was edited to reflect some Annexations. See Changes Feature Class for details.===================================================December 18, 2012This layer was edited to reflect an Annexation. See Changes Feature Class for details.===================================================December 3, 2012This layer was edited to reflect an Annexation. See Changes Feature Class for details.===================================================October 30, 2012This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================October 3, 2012This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================September 26-27, 2012This layer was edited to reflect some Corrections. See Changes Feature Class for details.===================================================August 24, 2012This layer was edited to reflect an Annexation and Reorganization. See Changes Feature Class for details.===================================================June 15, 2012This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================March 15, 2012This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================Feb 22, 2012This layer was edited to reflect some Corrections. See Changes Feature Class for details.===================================================Jan 17-18, 2012This layer was edited to reflect some Changes. See Changes Feature Class for details.===================================================Oct 26, 2011This layer was edited to reflect a Reorganization. See Changes Feature Class for details.===================================================Oct 20, 2011This layer was edited to reflect some Corrections. See Changes Feature Class for details.===================================================Oct 14, 2011This

  20. d

    Current Invasive Plants (Feature Layer)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +8more
    Updated Jul 11, 2025
    + more versions
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    U.S. Forest Service (2025). Current Invasive Plants (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/current-invasive-plants-feature-layer-9c83e
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Forest Service
    Description

    The Current Invasive Plants (InvasivePlantCurrent) feature class contains only the most recent or latest invasive Plant Infestation polygons collected by the National Invasive Plant Inventory Protocol. Includes most recent and excludes historic observations. Includes Site ID, Plant code, status etc. for the infesting species, date, area and other basic data. Metadata

Share
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Link copied
Close
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U.S. Forest Service (2025). Activity FACTS Common Attributes (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Activity_FACTS_Common_Attributes_Feature_Layer_/25974223
Organization logo

Activity FACTS Common Attributes (Feature Layer)

Explore at:
binAvailable download formats
Dataset updated
Jun 21, 2025
Dataset provided by
U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
Authors
U.S. Forest Service
License

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

Description

The data in this map service is updated every weekend.Note: This data includes all activities regardless of whether there is a spatial feature attached.Note: This is a large dataset. Metadata and Downloads are available at: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FACTS+common+attributesTo download FACTS activities layers, search for the activity types you want, such as timber harvest or hazardous fuels treatments. The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. This feature class contains the FACTS attributes most commonly needed to describe FACTS activities.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ActivityFactsCommonAttributes_01/MapServer/0 Geodatabase Download Shapefile Download For complete information, please visit https://data.gov.

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