6 datasets found
  1. a

    Raptors

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Oct 7, 2015
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    Avineon Inc (2015). Raptors [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/npgs2::raptors/explore
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    Dataset updated
    Oct 7, 2015
    Dataset authored and provided by
    Avineon Inc
    Area covered
    Description

    Animal Collector feature service designed by NPGS for the MN GIS LIS Conference 2015

  2. d

    Historical Events - Tourism Information Database

    • data.gov.tw
    csv
    + more versions
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    Tourism Administration, Ministry of Transportation and Communications, Historical Events - Tourism Information Database [Dataset]. https://data.gov.tw/en/datasets/41731
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    csvAvailable download formats
    Dataset authored and provided by
    Tourism Administration, Ministry of Transportation and Communications
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The Ministry of Transportation and Tourism Bureau collects spatial tourism information released by various government agencies, including information about tourist attractions, events, dining, and accommodations, to provide complete tourism GIS basic data for operators to enhance value-added applications, publish for the required users, create tourism development and new products and services, and provide seamless travel information services for tourists.

  3. a

    UNICEF Unless We Act Now Report

    • sdgs.amerigeoss.org
    • data.amerigeoss.org
    • +5more
    Updated Dec 21, 2015
    + more versions
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    Blue Raster (2015). UNICEF Unless We Act Now Report [Dataset]. https://sdgs.amerigeoss.org/documents/blueraster::unicef-unless-we-act-now-report/about
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    Dataset updated
    Dec 21, 2015
    Dataset authored and provided by
    Blue Raster
    Description

    Blue Raster collaborated with The United Nations Children’s Fund (UNICEF) to contribute to Unless We Act Now: The Impact of Climate Change on Children – a report published by UNICEF at the annual Conference of Parties (COP21), also known as the 2015 Paris Climate Conference. The Unless We Act Now report leveraged geospatial analysis of current demographic, environmental and projected climate data, in order to direct aid to child populations across the world. Today’s children, and their children, are the ones who will live with climate change in the coming years. The report looks at how children, and particularly the most vulnerable, are affected.

  4. p

    Administrative entities 2016: Greater Region and Upper Rhine conference

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Jan 17, 2025
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    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Administrative entities 2016: Greater Region and Upper Rhine conference [Dataset]. https://data.public.lu/en/datasets/administrative-entities-2016-greater-region-and-upper-rhine-conference/
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    application/geopackage+sqlite3(3670016)Available download formats
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Area covered
    Upper Rhine
    Description

    Administrative entities of the Greater Region and the Upper Rhine conference in 2016 Data sources: EuroGeographics EuroRegionalMap v9.1 - 2016; GeoRhena 2016; OpenSteetMap-Contributors 2016 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=1749&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/aebf0ed1-e57d-410d-acc9-08675fb9d068 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Administrative_entities_WMS/guest with layer name(s): -Admin_entities_Greater_Region_Upper_Rhine_level_1 -Admin_entities_Greater_Region_Upper_Rhine_level_2 -Common_border_Greater_Region_Upper_Rhine_2016 -Perimeter_Greater_Region_Upper_Rhine_2016

  5. d

    Lower Rio Puerco geospatial data, 1935 - 2014

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Lower Rio Puerco geospatial data, 1935 - 2014 [Dataset]. https://catalog.data.gov/dataset/lower-rio-puerco-geospatial-data-1935-2014
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Rio Puerco
    Description

    A long-term study of the geomorphic history of the lower Rio Puerco arroyo in north-central New Mexico included the collection of high-precision (Real-time kinematic) GPS survey data (2002, 2007, 2010, and 2014), registration and rectification of historical aerial photographs (1935, 1950s, 1970s, and 1996), an aerial LiDAR survey (2005) with collection of digital imagery, and acquisition of post-flood (2006) satellite imagery. The Rio Puerco is a single-thread, meandering stream inset within an arroyo located in semiarid north-central New Mexico. The study reach extent is from the confluence with the Rio San Jose 67 km downvalley to the Rio Puerco streamgage near Bernardo, NM. Arroyo and channel geomorphic features in 1935, 1950s, 1970s, 1996, 2005, and 2006 were mapped from imagery and are provided here as shapefiles. Features mapped for the purpose of assessing spatial and temporal geomorphic change include tops of the arroyo walls, edges of the arroyo bottom, tops of the channel banks, channel centerline, arroyo centerline, and canopy coverage. All of these data are provided here except for the November and December 2006 high-resolution Quickbird II satellite imagery (DigitalGlobe, Inc.), which is proprietary and, therefore, cannot be served here. Publications: Griffin, E.R., Kean, J.W., Vincent, K.R., Smith, J.D., and Friedman, J.M., 2005, Modeling effects of bank friction and woody bank vegetation on channel flow and boundary shear stress in the Rio Puerco, New Mexico, Journal of Geophysical Research, 110, F04023. doi: 10.1029/2005JF000322 Vincent, K.R., Friedman, J.M., and Griffin, E.R., 2009, Erosional consequence of saltcedar control, Environmental Management, 44, 218-227. doi: 10.1007/s00267-009-9314-8 Griffin, E.R., Smith, J.D., Friedman, J.M., and Vincent, K.R., 2010, Progression of streambank erosion during a large flood, Rio Puerco arroyo, New Mexico, Proceedings of the 2nd Joint Federal Interagency Conference, Las Vegas, NV, June 27 – July 1, 2010, 12 p. Perignon, M.C., Tucker, G.E., Griffin, E.R., and Friedman, J.M., 2013, Effects of riparian vegetation on topographic change during a large flood event, Rio Puerco, New Mexico, USA, Journal of Geophysical Research: Earth Surface, 118, 1193-1209. doi: 10.1002/jgrf.20073 Griffin, E.R., Perignon, M.C., Friedman, J.M., and Tucker, G.E., 2014, Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico, Geomorphology, 207, 30-50. doi: 10.1016/j.geomorph.2013.10.025 Friedman, J.M., Vincent, K.R., Griffin, E.R., Scott, M.L., Shafroth, P.B., and Auble, G.T., 2015, Processes of arroyo filling in northern New Mexico, USA, GSA Bulletin, 127(3/4), 621-640. doi: 10.1130/B31046.1 Griffin, E.R., and Friedman, J.M., 2015, Processes limiting depth of arroyo incision: examples from the Rio Puerco, New Mexico, in Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference), Reno, Nevada, April 19 – 23, 2015, 797-808. http://acwi.gov/sos/pubs/3rdJFIC/Contents/5A-Griffin.pdf

  6. a

    Recent Harmful Algal Bloom (HAB) Events

    • hub.arcgis.com
    • geodata.myfwc.com
    • +2more
    Updated Jul 3, 2018
    + more versions
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    Florida Fish and Wildlife Conservation Commission (2018). Recent Harmful Algal Bloom (HAB) Events [Dataset]. https://hub.arcgis.com/datasets/dfd5e2914bd24944933650671cf86aa5
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    Dataset updated
    Jul 3, 2018
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    Area covered
    Description

    GIS point shapefile of recent sampling locations for the phytoplankton that causes red tide, Karenia brevis. Sampling sites dates of this shapefile cover the calendar year 2015 through the most recently available period. The HAB shapefile is a spatial representation of information gathered in the HAB Historical Database, which provides information on the presence and absence of Karenia brevis.

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Avineon Inc (2015). Raptors [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/npgs2::raptors/explore

Raptors

Explore at:
Dataset updated
Oct 7, 2015
Dataset authored and provided by
Avineon Inc
Area covered
Description

Animal Collector feature service designed by NPGS for the MN GIS LIS Conference 2015

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