100+ datasets found
  1. e

    Helpful Videos from the Esri Education Team

    • gisinschools.eagle.co.nz
    Updated Nov 13, 2014
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    GIS in Schools - Teaching Materials - New Zealand (2014). Helpful Videos from the Esri Education Team [Dataset]. https://gisinschools.eagle.co.nz/documents/6c271bfb0b0e42b7a7221120d3e76691
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    Dataset updated
    Nov 13, 2014
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    Youtube Channel that has various Videos using ArcGIS to teach Geography.

  2. ArcGIS Dashboards Training Videos for COVID-19

    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Apr 23, 2020
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    Esri’s Disaster Response Program (2020). ArcGIS Dashboards Training Videos for COVID-19 [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/documents/fbc4179e362a4609a10fd479b82af386
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    Dataset updated
    Apr 23, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    ArcGIS Dashboards Training Videos for COVID-19With the current COVID-19 situation across the world, there’s been a proliferation of corona virus themed dashboards emerging over the last few weeks in ArcGIS Online. Many of these were created with ArcGIS Dashboards, which enables users to convey information by presenting location-based analytics using intuitive and interactive data visualizations on a single screen._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  3. Building a resource locator in ArcGIS Online (video)

    • coronavirus-disasterresponse.hub.arcgis.com
    • coronavirus-resources.esri.com
    Updated Mar 17, 2020
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    Esri’s Disaster Response Program (2020). Building a resource locator in ArcGIS Online (video) [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/documents/34484698f776415cb4d4247eaf1d0c59
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    Dataset updated
    Mar 17, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Building a resource locator in ArcGIS Online (video).View this short demonstration on how to build a simple resource locator in ArcGIS Online. In this demonstration the presenter publishes an existing Web Map to the Local Perspective configurable application template. The resulting application includes the ability to locate and navigate to different health resources that would be critical in managing a surge of displaced people related to a significant event impacting public health._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  4. a

    ArcGIS Pro: An Introduction

    • hub.arcgis.com
    Updated May 3, 2019
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    State of Delaware (2019). ArcGIS Pro: An Introduction [Dataset]. https://hub.arcgis.com/documents/3b9611661e994cbba901f36947d17ab3
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    Dataset updated
    May 3, 2019
    Dataset authored and provided by
    State of Delaware
    Description

    Learn about what is possible in 2D and 3D mapping, analysis, and editing.

  5. O

    Introduction to ArcGIS Pro from UC Riverside

    • data.ct.gov
    application/rdfxml +5
    Updated Aug 30, 2023
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    (2023). Introduction to ArcGIS Pro from UC Riverside [Dataset]. https://data.ct.gov/dataset/Introduction-to-ArcGIS-Pro-from-UC-Riverside/nd9t-p2f5
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    csv, application/rssxml, xml, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Aug 30, 2023
    Description

    {{description}}

  6. c

    California State Waters Map Series--Offshore of Point Conception Web...

    • s.cnmilf.com
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Offshore of Point Conception Web Services [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-point-conception-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

  7. e

    Changing User Types in ArcGIS Online - Video

    • gisinschools.eagle.co.nz
    Updated May 15, 2020
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    GIS in Schools - Teaching Materials - New Zealand (2020). Changing User Types in ArcGIS Online - Video [Dataset]. https://gisinschools.eagle.co.nz/documents/080fbfe183bd4db1885f5294c0a949b9
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    If you have ever had an error message pop up in ArcGIS Online that mentions you have exceeded the user types in your account, watch this video to see how to resolve this issue.This video takes you through the steps of how to do change students and teachers user types on the rare occasion that you are required to change user types in your schools ArcGIS Online account.ArcGIS Online Administration.Video recorded - April 2020.

  8. d

    Location of sea floor video tracklines along with videos collected in 2014...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +5more
    Updated Jul 20, 2024
    + more versions
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    U.S. Geological Survey (2024). Location of sea floor video tracklines along with videos collected in 2014 by the U.S. Geological Survey offshore of Fire Island, NY (MP4 videos files and Esri polyline shapefile, Geographic, WGS 84) [Dataset]. https://catalog.data.gov/dataset/location-of-sea-floor-video-tracklines-along-with-videos-collected-in-2014-by-the-u-s-geol
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Fire Island, New York
    Description

    The U.S. Geological Survey (USGS) conducted a geophysical and sampling survey in October 2014 that focused on a series of shoreface-attached ridges offshore of western Fire Island, NY. Seismic-reflection data, surficial grab samples and bottom photographs and video were collected along the lower shoreface and inner continental shelf. The purpose of this survey was to assess the impact of Hurricane Sandy on this coastal region. These data were compared to seismic-reflection and surficial sediment data collected by the USGS in the same area in 2011 to evaluate any post-storm changes in seabed morphology and modern sediment thickness on the inner continental shelf. For more information about the WHCMSC Field Activity, see: https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-009-FA.

  9. e

    Lurgan Schools: The Differences We Share - Esri User Conference San Diego...

    • gisinschools.eagle.co.nz
    Updated Apr 8, 2020
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    GIS in Schools - Teaching Materials - New Zealand (2020). Lurgan Schools: The Differences We Share - Esri User Conference San Diego 2019 - VIDEO [Dataset]. https://gisinschools.eagle.co.nz/documents/81073f87c8ad42d68bfaafb8b9e99938
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    Dataset updated
    Apr 8, 2020
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Area covered
    San Diego
    Description

    For the latter part of the 20th century, Northern Ireland, officially part of the United Kingdom but sharing an island with the Republic of Ireland, saw violence between the nationalists (mostly Roman Catholic background) and unionists (mostly Protestant background). The Good Friday Agreement of 1998 sought to end this conflict, by establishing peace between these two communities and guiding how Northern Ireland should be governed. But even 20 years on, Northern Ireland remains divided. Yet, hope is on the horizon. Young students in Lurgan—a town of 25,000 south of Belfast—are using Survey123 for ArcGIS to record data across sectarian lines. After analyzing the data collected, the students from conflicting backgrounds find that they aren't that different after all. This is how change begins. Join the students of Lurgan to learn how youth are using GIS to make a difference in their community.

  10. m

    Species Abundance, Species Distribution, Sediment Description (ESRI ArcGIS...

    • marine-geo.org
    Updated Jan 17, 2025
    + more versions
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    MGDS > Marine Geoscience Data System (2025). Species Abundance, Species Distribution, Sediment Description (ESRI ArcGIS map package MPK format), western Long Island Sound (2023) [Dataset]. http://doi.org/10.60521/332216
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    MGDS > Marine Geoscience Data System
    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

    Area covered
    Description

    This data set provides information on species type, abundance, and distribution, and sediment description for the Phase IIIA survey area of the Long Island Sound Cable Fund (LISCF) Seafloor Habitat Mapping Initiative. This data set contains the results of image analyses of frame captures of video collected by the Ponar Imaging and Sampling System for Assessing Habitat (PISSAH) developed by the Long Island Sound Mapping and Research Collaborative (LISMaRC) to obtain both physical sediment grab samples and ultra-high definition (4K) video using the latest version of GoPro cameras. A four-day survey using the PISSAH deployed from the Research Vessel Weicker was conducted from June 12-16, 2023 including mobilization and demobilization. The PISSAH was used to acquire both physical sediment grab samples as well as the GoPro video from 60 sites in the Phase III area of the Long Island Sound Cable Fund (LISCF) Seafloor Habitat Mapping Initiative. These sites were identified in the Phase IIIA area based upon an analysis of existing acoustic backscatter data obtained from multiple surveys by NOAA that exhibited what appeared to be inconsistent gray scale settings. Multiple GoPro cameras with lights captured both forward-looking and down-looking points of view. The down-looking video files were reviewed and two to five still images (frame grabs) were captured in the .tiff format for image analysis. The images were color corrected using the IrfanView software. Each image was then analyzed using the ImageJ software for point count and percent cover of observed taxa, biogenic features and sediment type. The results of this analysis and attendant maps were provided to the team led by Roger Flood from the Stony Brook University to assist with the interpretation of new and existing acoustic backscatter data in the area. The data file is in ESRI ArcGIS map package (MPK) format. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).

  11. A

    Mapping incident locations from a CSV file in a web map (video)

    • data.amerigeoss.org
    esri rest, html
    Updated Mar 17, 2020
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    ESRI (2020). Mapping incident locations from a CSV file in a web map (video) [Dataset]. https://data.amerigeoss.org/zh_CN/dataset/mapping-incident-locations-from-a-csv-file-in-a-web-map-video
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    esri rest, htmlAvailable download formats
    Dataset updated
    Mar 17, 2020
    Dataset provided by
    ESRI
    Description

    Mapping incident locations from a CSV file in a web map (YouTube video).


    View this short demonstration video to learn how to geocode incident locations from a spreadsheet in ArcGIS Online. In this demonstration, the presenter drags a simple .csv file into a browser-based Web Map and maps the appropriate address fields to display incident points allowing different types of spatial overlays and analysis.

    _

    Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.

    When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.

    Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.


  12. a

    Enroute with ArcGIS Online

    • storymaps-k12.hub.arcgis.com
    Updated Aug 6, 2021
    + more versions
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    Esri K12 GIS Organization (2021). Enroute with ArcGIS Online [Dataset]. https://storymaps-k12.hub.arcgis.com/datasets/enroute-with-arcgis-online-
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    Dataset updated
    Aug 6, 2021
    Dataset authored and provided by
    Esri K12 GIS Organization
    Description

    Summary: An introduction to ArcGIS Online for K-12 studentsStorymap metadata page: URL forthcoming Possible K-12 Next Generation Science standards addressed:Grade level(s) 1: Standard 1-PS4-2 - Waves and their Applications in Technologies for Information Transfer - Make observations to construct an evidence-based account that objects can be seen only when illuminatedGrade level(s) 1: Standard 1-LS1-2 - From Molecules to Organisms: Structures and Processes - Read texts and use media to determine patterns in behavior of parents and offspring that help offspring surviveGrade level(s) 2: Standard 2-PS1-1 - Matter and its Interactions - Plan and conduct an investigation to describe and classify different kinds of materials by their observable propertiesGrade level(s) 2: Standard 2-PS1-2 - Matter and its Interactions - Analyze data obtained from testing different materials to determine which materials have the properties that are best suited for an intended purposeGrade level(s) 4: Standard 4-PS4-3 - Waves and their Applications in Technologies for Information Transfer - Generate and compare multiple solutions that use patterns to transfer informationGrade level(s) 6-8: Standard MS-PS4-3 - Waves and Their Applications in Technologies for Information Transfer - Integrate qualitative scientific and technical information to support the claim that digitized signals are a more reliable way to encode and transmit information than analog signalsGrade level(s) 9-12: Standard HS-PS3-5 - Energy - Develop and use a model of two objects interacting through electric or magnetic fields to illustrate the forces between objects and the changes in energy of the objects due to the interaction.Grade level(s) 9-12: Standard HS-PS4-4 - Waves and Their Applications in Technologies for Information Transfer - Evaluate the validity and reliability of claims in published materials of the effects that different frequencies of electromagnetic radiation have when absorbed by matter.Most frequently used words:tutorialtextvideoApproximate Flesch-Kincaid reading grade level: 10.2. The FK reading grade level should be considered carefully against the grade level(s) in the NGSS content standards above.

  13. e

    Setup Admin Tools for ArcGIS Online on your schools ArcGIS Online account -...

    • gisinschools.eagle.co.nz
    Updated Mar 5, 2018
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    GIS in Schools - Teaching Materials - New Zealand (2018). Setup Admin Tools for ArcGIS Online on your schools ArcGIS Online account - Video [Dataset]. https://gisinschools.eagle.co.nz/documents/ccd7fa8607af4a0cace44802397185e6
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    Dataset updated
    Mar 5, 2018
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    To help with the your management of students and content in your schools ArcGIS Online account you can activate Admin Tools for ArcGIS on your account. This video steps you through how to activate Admin Tools for ArcGIS Online on your account.Recorded March 2018.

  14. d

    Trackline navigation for video data from 40 sample locations collected by...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Trackline navigation for video data from 40 sample locations collected by the U.S. Geological Survey in Moultonborough Bay, Lake Winnipesaukee, New Hampshire in 2005 (Geographic, WGS 84, Esri polyline shapefile, 2005-004-FA_VIDEOTRK.SHP) [Dataset]. https://catalog.data.gov/dataset/trackline-navigation-for-video-data-from-40-sample-locations-collected-by-the-u-s-geologic
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Lake Winnipesaukee, Moultonborough, New Hampshire, Moultonborough Bay
    Description

    In freshwater bodies of New Hampshire, the most problematic aquatic invasive plant species is Myriophyllum heterophyllum or variable leaf water-milfoil. Once established, variable leaf water-milfoil forms dense beds that can alter the limnologic characteristics of a waterbody, impacting natural lacustrine communities and their habitats. Variable leaf water-milfoil infestations also disrupt recreational uses of waterbodies and have negatively affected swimming, boating, fishing, and property values in and around several lakes and ponds in New Hampshire. In 1965, Moultonborough Bay, Lake Winnipesaukee became the first waterbody in New Hampshire where variable leaf water-milfoil was observed. Variable leaf water-milfoil is native to the Southeastern and Midwestern areas of the United States where more alkaline waters appear to limit the growth of this plant. Outside its native range, however, it adapts well to the relatively acidic, low-alkalinity, and nutrient-poor conditions of oligotrophic lakes and bays similar to Moultonborough Bay. In 2005, the New Hampshire Department of Environmental Services (NHDES) collaborated with the U.S. Geological Survey to investigate the distribution (presence and density) of variable leaf water-milfoil in Moultonborough Bay. This study utilized geophysical systems and conventional water-quality measurements to identify lake-floor environments that may provide suitable habitat for the establishment and growth of variable leaf water-milfoil. The results of the study are intended to assist resource managers in federal and state agencies by providing methods for detecting variable leaf water-milfoil and for identifying areas susceptible to infestation. Ultimately, this information may lead to early detection, prevention, and more effective mitigation strategies. Field activity information for this cruise is available on-line through the U.S. Geological Survey Coastal and Marine Geoscience Data System https://cmgds.marine.usgs.gov/fan_info.php?fa=2005-004-FA.

  15. d

    California State Waters Map Series--Point Sur to Point Arguello Web Services...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). California State Waters Map Series--Point Sur to Point Arguello Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-point-sur-to-point-arguello-web-services
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Arguello, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Sur to Point Arguello map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Sur to Point Arguello map area data layers. Data layers are symbolized as shown on the associated map sheets.

  16. d

    CALTRANS Traffic Cameras.

    • datadiscoverystudio.org
    Updated Jun 28, 2018
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    Eric Kauffman (2018). CALTRANS Traffic Cameras. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c0706f104ef248a7b9ca7c4866316f21/html
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    Dataset updated
    Jun 28, 2018
    Authors
    Eric Kauffman
    Area covered
    Description

    abstract: This map service shows the location of traffic cameras throughout California with a URL attribute to the current imagery for each location.See: http://video.dot.ca.gov/Traffic camerasTransportationCamera Locations

  17. a

    GO 405 Video Recording of Interviews & Interrogations

    • hub.arcgis.com
    • data-rpdny.opendata.arcgis.com
    Updated Feb 3, 2017
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    Rochester, NY Police Department (2017). GO 405 Video Recording of Interviews & Interrogations [Dataset]. https://hub.arcgis.com/documents/a2e0ccbe6e694aacb8ff733163a757bd
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    Dataset updated
    Feb 3, 2017
    Dataset authored and provided by
    Rochester, NY Police Department
    Description

    The General Order detailing RPD's policies on the video recording of interviews & interrogations.

  18. d

    Alcohol and Video Lottery Licensing

    • catalog.data.gov
    • datasets.ai
    • +4more
    Updated Apr 19, 2025
    + more versions
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    City of Sioux Falls GIS (2025). Alcohol and Video Lottery Licensing [Dataset]. https://catalog.data.gov/dataset/city-of-sioux-falls-licensing
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Description

    Feature layer containing authoritative alcohol and video lottery licensing points for Sioux Falls, South Dakota.

  19. e

    Finding spatial data for a GIS lesson

    • gisinschools.eagle.co.nz
    Updated May 15, 2020
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    GIS in Schools - Teaching Materials - New Zealand (2020). Finding spatial data for a GIS lesson [Dataset]. https://gisinschools.eagle.co.nz/documents/0f39eec71bd74a4d8bb62cbb223bf9ae
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    Often times that hardest part about writing your own lesson in GIS is finding the appropriate spatial data. This video takes you through some of the sources of spatial data that you have in New Zealand. URLs for the data sources mentioned in the video are:Living Atlas of The Worldhttps://livingatlas.arcgis.comNZ Government Data Portalhttps://data.govt.nz/ LINZ Data Servicehttps://data.linz.govt.nz/Wellington City Council Open Data Portalhttps://data-wcc.opendata.arcgis.com/Koordinates https://koordinates.com/data/And some addition Open Data Sites for our main NZ CitiesAuckland Council Open Data Portalhttps://data-aucklandcouncil.opendata.arcgis.com/ Canterbury Maps Data Portal https://opendata.canterburymaps.govt.nz/Video Recorded April 2020.

  20. g

    California State Waters Map Series--Offshore of Point Reyes Web Services |...

    • gimi9.com
    + more versions
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    California State Waters Map Series--Offshore of Point Reyes Web Services | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_california-state-waters-map-series-offshore-of-point-reyes-web-services/
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    Area covered
    Point Reyes, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Reyes map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Reyes map area data layers. Data layers are symbolized as shown on the associated map sheets.

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GIS in Schools - Teaching Materials - New Zealand (2014). Helpful Videos from the Esri Education Team [Dataset]. https://gisinschools.eagle.co.nz/documents/6c271bfb0b0e42b7a7221120d3e76691

Helpful Videos from the Esri Education Team

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Dataset updated
Nov 13, 2014
Dataset authored and provided by
GIS in Schools - Teaching Materials - New Zealand
Description

Youtube Channel that has various Videos using ArcGIS to teach Geography.

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