This dataset provides information about the number of properties, residents, and average property values for Irmas Lane cross streets in Deltaville, VA.

Financial overview and grant giving statistics of Audrey Irmas Foundation For Social Justice

Abstract During the first half of the twentieth century, the coal-producing region of Santa Catarina state underwent intense industrialization that directly impacted various ways of life; various health problems emerged in the region as a result of coal mining and impeded economic progress. As the government was unable to meet health demands, local businesses established partnerships with female religious orders that provided assistance services in the villages where workers lived. As part of such a partnership, the Pequenas Irmãs da Divina Providência created an album of texts, drawings, and photographs as a report describing their activities from 1955 to 1957 in one such village in the region.

Financial overview and grant giving statistics of The Audrey And Sydney Irmas Charitable Foundation

Data of grain size, organic and carbonate contents, stable carbon isotope geochemistry, and microfossil (foraminifera and diatoms) of Hurricane Irma's overwash deposit from Nov 2017 and July 2019. Used to track the evolution of the modern overwash deposit as it is incorporated (or neglected) from the geologic record.

Historical Dataset of Irma C. Austin Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2007-2023),Total Classroom Teachers Trends Over Years (2007-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2007-2023),Asian Student Percentage Comparison Over Years (2008-2023),Hispanic Student Percentage Comparison Over Years (2007-2023),Black Student Percentage Comparison Over Years (2007-2023),White Student Percentage Comparison Over Years (2007-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (2007-2023),Free Lunch Eligibility Comparison Over Years (2007-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2007-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

Understanding how extreme weather, such as tropical cyclones, will change with future climate warming is an interesting computational challenge. Here, the hindcast approach is used to create different storylines of a particular tropical cyclone, Hurricane Irma (2017). Using the Community Atmosphere Model, we explore how Irma's precipitation would change under various levels of climate warming. Analysis is focused on a 48-hour period where the simulated hurricane tracks reasonably represent Irma's observed track. Under future scenarios of 2 K, 3 K, and 4 K global average surface temperature increase above pre-industrial levels, the mean 3-hourly rainfall rates in the simulated storms increase by 3-7%/K compared to present. This change increases in magnitude for the 95th and 99th percentile 3-hourly rates, which intensify by 10-13%/K and 17-21%/K, respectively. Over Florida, the simulated mean rainfall accumulations increase by 16-26%/K, with local maxima increasing by 18-43%/K. All percent changes increase monotonically with warming level.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Irmas-Southwest.

IRMA NPS DataStore A mirror of — sent a search for the empty string, and crawled through all results and file downloads. Data captured on 2025-03-04 This archive contains 3317 pages of search results, amounting to 165806 records ("references" in DataStore lingo) pages.tar.zst contains all pages from search results, in JSON format. profiles.tar.zst contains JSON metadata (description, date published, author) for each reference. holdings.tar.zst contains JSON file listings per reference, i.e. file MIME-types and sizes. html.tar.zst pdfs.tar.zst extracted-zip.tar.zst and others.tar.zst are the actual downloaded files segmented by filetypes for compressability. extracted-zip.tar.zst does not contain the original zipfiles but rather extracted folders so that they can be more effectively recompressed by ZStandard. The original total size of all zipfiles was 2.2 TiB, all data fully extracted was 3.1 TiB. Detailed code for how the d

The NOAA Hurricane Irma Florida Keys Topobathymetric LiDAR Delivery 1 area data were collected by Quantum Spatial, Inc. (QSI) using three Riegl systems: a Riegl VA880G+, a Riegl VQ880GII, and a Riegl VQ880GH. Delivery 1 acquisition dates spanned from 20181120-20190323 in 23 missions. The final classified LiDAR data were transformed from ellipsoid elevations to Geoid12b elevations and used to cr...

The National Assessment of Coastal Change Hazards project at the U.S. Geological Survey (USGS) exists to understand and predict storm impacts to our nation's coastlines. This geospatial dataset defines the alongshore extent of overwash sediments deposited along the Florida coast and attributed to coastal processes during [Atlantic Basin] Hurricane Irma, which made landfall in the U.S. on September 9, 2017.

The NOAA Hurricane Irma Project area data were collected by Quantum Spatial, Inc. (QSI) using three Riegl systems: a Riegl VQ-880-G+, a Riegl VQ-880-GII, and a Riegl VQ-880-GH. The project acquisition dates spanned from 20181120-20190323 in 85 missions. The final classified LiDAR data were transformed from WGS80 ellipsoid elevations to Geoid12b orthometric elevations and were then used to creat...

This dataset provides information about the number of properties, residents, and average property values for Silver Lake Road cross streets in Irma, WI.

Oblique and nadir imagery was acquired following Hurricane Irma in September 2017. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).

During and after Hurricane Irma, the US Geological Survey recorded high water marks across the affected area, as they do for every major storm [https://www.usgs.gov/special-topic/hurricane-irma]. The files in this dataset provide 506 high water marks for Hurricane Irma flooding, and 202 peak sites. These files were downloaded following the steps below. If you'd like to check the original sources again, or search for HWM for a different storm, you may find these directions helpful.

The High Water Marks can also be visualized directly from the USGS Flood Event Viewer for Irma [https://stn.wim.usgs.gov/fev/#IrmaSeptember2017]

Finding, Downloading and Filtering USGS High Water Marks (HWM) 1. Visit USGS website: https://water.usgs.gov/floods/history.html, which lets you… 2. Click on Hurricane Irma: https://www.usgs.gov/irma, which lets you… 3. Click on green button Get Data: https://stn.wim.usgs.gov/fev/#IrmaSeptember2017 4. In left margin menu of resulting page, click a second Get Data link. This will open up the remaining options below. 5. Click each data type you want, such as High-Water Mark, Peak Summary, or Sensor Data. It’s only csv or REST (json or xml).

• To understand the fields or columns of this table, see HWM_Peaks_Sensors_Data_Dictionary_20180329.xslx in the contents below.

PDF DownloadAt it peak, HURRICANE IRMA became the most intense hurricane to strike the Atlantic since Dean in 2007 and the U.S. since Katrina in 2005. On August 30, 2017, Hurricane Irma developed near the Cape Verde Islands and began its destructive path hitting the Leeward Islands on September 6, 2017 as it reached a category 5 hurricane with winds at 185 mph and a minimum pressure of 914hPal 27, inHg. Irma caused major damage as it moved through Anguilla, Antigua and Barbuda, St. Kitts and Nevis, Montserrat, St. Martin, St. Barthelemy, the Virgin Islands, Puerto Rico, Cuba, the Florida Keys, and southern Florida. At approximately 9:10 a.m. on September 10, 2017, the storm made landfall in the Florida Keys as a Category 4, and at approximately 3:35 p.m. was downgraded to a category 3. By Monday, September 11, 2017, Irma was again downgraded to a tropical storm heading for Georgia and South Carolina.Damage assessments of Florida's Power Reference: http://www.nhc.noaa.gov/

Credit report of Montoya De Sandoval Irma contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

This dataset defines storm-induced coastal erosion hazards for the Florida, Georgia and South Carolina coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Hurricane Irma in September 2017. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of the three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset.

This dataset provides information about the number of properties, residents, and average property values for Irma Road cross streets in Salem, KY.

Credit report of Irmas Franciscanas Da Divina Providencia A contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.