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Last updated on July 7, 2020
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  • 60+ Downloads
    Updated July 6, 2020 | Dataset date: Apr 9, 2020
    This dataset updates: Every day
    This map displays continuously updated data from the USGS Earthquakes and Shakemaps. This map is provided by the Esri Disaster Response Program.
  • Updated July 2, 2020 | Dataset date: May 6, 2020
    This dataset updates: Every day
    Live feed sources on severe weather across the United States. The Current Weather and Wind Station Data layer is created from hourly METAR station data provided from NOAA and contains approximately 11 weather variables for each location.
  • Updated July 2, 2020 | Dataset date: May 5, 2020
    This dataset updates: Every day
    Living Atlas live feed sources for hurricane path, observed path, forecast path, and intensity of tropical cyclone activity (hurricanes, typhoons, cyclones) from the National Hurricane Center and Joint Typhoon Warning Center
  • Updated July 2, 2020 | Dataset date: May 6, 2020
    This dataset updates: Every day
    This includes layers for detectable thermal activity from VIIRS satellites for the last 7 days and MODIS satellites for the last 48 hours. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, while MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), both a part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. The application includes live feed sources for US wildfire reports (I-209), perimeters, MODIS hot spots, wildfire conditions / red flag warnings, wildfire potential and weather radar. Each of these layers provides insight into where a fire is located, its intensity and the surrounding areas susceptibility to wildfire.
  • Updated July 1, 2020 | Dataset date: Sep 26, 2017
    This dataset updates: Every week
    This dataset contains information on the dates and locations of all reported political violence events in over 50 developing countries, with a focus on Africa. The data are drawn from news reports, publications by civil society and human rights organizations, and security updates from international organizations. The ACLED dataset is made up of thousands of individual data points, each referring to an individual event (a battle, an attack, a riot, etc.). Each event contains the following information: The date – the day on which the event took place; The type of violence – what kind of violence was involved; The actors involved – violent actors identified by group name or type (for example, the LRA or Protesters); The type of group – actors identified by a numeric code, indicating whether the actors are part of state forces (military or police), rebels, militias, communal/ethnic militias, etc. The country – the state in which the event took place; The location – several columns detailing the administrative zone and town / village location at which the event took place; Latitude and longitude coordinates – the geo-reference for the individual event; The source of the report – the source in which the description of the event was found; Event notes – a brief description of the event; Fatalities – the reported number of fatalities For more information on using ACLED for Humanitarian purposes, please see this report (http://www.acleddata.com/wp-content/uploads/2017/01/ACLED_User-Guide-for-Humanitarians_2017.pdf). Supporting documentation, including the project Codebook (detailing the data collection and recording process), a general user guide, and working papers which explore sources and methodology in greater detail are all available online at http://www.acleddata.com/. This dataset is updated once a week in following with the information detailed here, http://www.acleddata.com/data/realtime-data. It is updated using a script that runs on AWS Lambda. The source code for that script can be found on GitHub, here(https://github.com/apfister/lambda-acled).
  • 40+ Downloads
    Updated November 9, 2018 | Dataset date: Nov 9, 2018
    This dataset updates: Every year
    Series EN_H2O_WBAMBQ: Proportion of bodies of water with good ambient water quality (%) Indicator 6.3.2: Proportion of bodies of water with good ambient water quality Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater and substantially increasing recycling and safe reuse globally Goal 6: Ensure availability and sustainable management of water and sanitation for all Release Version: 2018.Q2.G.01
  • 70+ Downloads
    Updated July 24, 2018 | Dataset date: Jan 1, 2015-Jul 3, 2018
    This dataset updates: Every two weeks
    In 2016, Zika virus disease became a nationally notifiable condition. Cases are reported to CDC by state, territorial, and local health departments using standard case definitions. These are final 2015 - 2016 data reported to ArboNET and the CDC for Zika virus disease. As well as the Provisional Data* as of July 3, 2018 for cases in 2017 - 2018.
  • Updated September 29, 2019 | Dataset date: Oct 2, 2018
    This data is by request only
    Imagery captured by Digital Globe on 2 October 2018 of Palu, Indonesia. The data is available as a service https://www.arcgis.com/home/item.html?id=d0ff196041e04e0d8d3a09e1e435625d as well as download from Maxar's Open Data site (https://www.digitalglobe.com/ecosystem/open-data/indonesia-earthquake-tsunami).