{ "culture": "en-US", "name": "IPAWS_Archive", "guid": "25BC0BF4-1DAE-4129-9CE4-173C95DEDBFA", "catalogPath": "", "snippet": "This dataset displays a subset of the total archived IPAWS data for the latest 6-Month of emergency alerts available on Open Data FEMA . The Integrated Public Alert and Warning System (IPAWS) is a modernization of the nation's alert and warning infrastructure that unifies the United States' Emergency Alert System (EAS), Wireless Emergency Alerts (WEA), the National Oceanic and Atmospheric Administration (NOAA) Weather Radio, and other public alerting systems implemented as a set of Web services. IPAWS was designed to modernize these systems by enabling alerts to be aggregated over a network and distributed to the appropriate system for public dissemination. Organized and managed by FEMA, the system supports alert origination by Federal, state, local, territorial and tribal officials, and subsequent dissemination to the public using a range of national and local alerting systems.", "description": "

This data set contains recent*, historic, and archived IPAWS Common Alerting Protocol (CAP) v1.2 messages [for latest 6-Month] including date, time, event code (examples listed below), city, county, joint agency, police, law enforcement, Collaborative Operating Group (COG), State(s), locality, territory or tribe. It can be used to capture and analyze historic and archived messages. *The dataset is published with a twenty four (24) hour delay to reduce the risk of being confused with an active alert received from the live IPAWS feed. The most recent record will reflect the alert(s) sent twenty four (24) hours ago (if such records exist). For example, if an alert originator sent an alert at 1459GMT on June 1st and sent a different alert at 1600GMT on June 2nd, these alerts will not be visible in the dataset until 1459GMT on June 2nd and 1600GMT June 3rd respectively. The complete IPAWS archive dataset from 2012 to present is available for download at https://www.fema.gov/openfema-data-page/ipaws-alerts-repository-pulled-common-alerting-protocol-cap-aggregator-capv12 <\/SPAN><\/P><\/DIV>", "summary": "This dataset displays a subset of the total archived IPAWS data for the latest 6-Month of emergency alerts available on Open Data FEMA . The Integrated Public Alert and Warning System (IPAWS) is a modernization of the nation's alert and warning infrastructure that unifies the United States' Emergency Alert System (EAS), Wireless Emergency Alerts (WEA), the National Oceanic and Atmospheric Administration (NOAA) Weather Radio, and other public alerting systems implemented as a set of Web services. IPAWS was designed to modernize these systems by enabling alerts to be aggregated over a network and distributed to the appropriate system for public dissemination. Organized and managed by FEMA, the system supports alert origination by Federal, state, local, territorial and tribal officials, and subsequent dissemination to the public using a range of national and local alerting systems.", "title": "IPAWS_Archive", "tags": [ "IPAWS", "Alerts", "EAS", "WEA", "Emergency Alert System" ], "type": "Map Service", "typeKeywords": [ "Data", "Service", "Map Service", "ArcGIS Server" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -178.217598362366, 18.921786345087 ], [ -66.9692710360024, 71.4062353532711 ] ], "minScale": 0, "maxScale": 1.7976931348623157E308, "spatialReference": "Longitude / Latitude [WGS 84]", "accessInformation": "Federal Communications Commission (FCC), National Weather Service (NWS) and FEMA", "licenseInfo": "

Notice from FEMA's General Counsel:THESE MATERIALS ARE PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. USE OF THESE MATERIALS CONSTITUTES ACCEPTANCE OF THIS DISCLAIMER OF LIABILITY.The authors of this software have used their best efforts in its preparation. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. HOWEVER, neither the authors nor the U.S. Government nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, make any warranty express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information apparatus, algorithm, product, or process disclosed, or represent that its use would not infringe on privately owned rights. <\/SPAN><\/P><\/DIV>" }