Financial overview and grant giving statistics of Anderson County Fire Chief Association

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Fire. The data include parameters of fire history|tree ring with a geographic location of Arizona, United States Of America. The time period coverage is from 255 to 6 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Financial overview and grant giving statistics of Chester County Fire Chief Association

This statistics shows the share of people in the U.S. who agree with the perceptions that Trump fired Comey due to the FBI investigations into Trump's administration's links to Russia and the Clinton email scandal, as of May 2017. According to the survey, 31 percent of people believed that Trump fired Comey in order to slow down the investigation into his administration's ties to Russia.

There are fire stations strategically placed throughout the city and staffed 24 hours a day, seven days a week. These stations are divided up in to five battalions, each supervised by a battalion chief; with an on-duty deputy chief overseeing the City.Displays data from CARTO.fire.Updates as needed. Last update, November 2023.

Financial overview and grant giving statistics of District Fire Chief Gerald W Nadeau Memorial Foundation

Version Information:The data is updated yearly with fire perimeters from the previous fire season.Fire19_1 was released April 30th, 2020. Three hundred twelve wildfires from the 2019 fire season were added to the database (4 from the NPS, 180 from CAL FIRE, 68 from USFS, 21 from BLM)._CAL FIRE (including contract counties), USDA Forest Service Region 5, USDI Bureau of Land Managment & National Park Service, and other agencies jointly maintain a comprehensive fire perimeter GIS layer for public and private lands throughout the state. The data covers fires back to 1878. Detailed metadata is provided for each individual feature class. _Historic Update Information:Fire18_1 was released May 1st, 2019. 413 wildfires from the 2018 fire season were added to the database. There are two fires on BIA managed land that do not have 3 letter code identifiers and thus "Unit" was left blank. A hand drawn perimeter of the 1990 San Juan Canyon fire in BEU was submitted by a fire fighter who worked on the fire. The perimeter of the Thomas fire of 2017 was replaced this year by one collected by SBC that is based on someone walking some parts of the perimeter for better accuracy.Fire17_1 was released April 13th, 2018. 612 wildfires from the 2017 fire season were added to the database. Three USFS wildfires from previous years were also added (1 from 2014, and 2 from 2016). Attributes from 3 USFS wildfires were also corrected (Willow 2015, Gilman and Meadow 2016). Two new USFS Forest were added to the domain list of Units (Rogue River-Siskiyou NF & Fremont NF).The Barry Point Fire is now attributed to the Rogue River-Siskiyou, previoulsy it was attributed to other (as a unit). There are two fires for 2018 already in the database.Fire16_1 was released May 4nd, 2017. I 2014 VNC fire perimeter was replaced by a more accurate version. 3 new periemters from 2014 were added (VNC). A new periemter from 2013 added. 66 new perimeters from 2015 were added. 92 new periemters in Marin County, from 1917 to 1934 were added. They were hand drawn by the Marin County fire Chief Garber and digitized and submitted by NPS. 8 duplicate fire perimeters were deleted.Fire15_1 was released June 9th, 2016. The ALARM_DATE and CONT_DATE fields have been changed from STRING fields to DATE fields. In the many cases where only the year of a fire existed (ex. 19170000) the tool couldn't process the data and the entry is NULL. In those cases, the year can be found in the YEAR field.Fire14_1 was released in May, 2015. After release, the NPS supplied corretions for 14 wildfires and 67 prescribed burns. The corrected data was posted to FRAP's data download page as fire14_1 in late May. An effort was made to ensure multipart polygons were standardized throughout the dataset. Fire 14_2 was released in July, 2015 to reflect that changes had been made to the original release in late May. Version 14_1 from late May is an exact copy of version 14_2 released in July.

City of Johnson City municipal limits split into nine primary engine response zones. Updated when annexation or deannexation occurs or changed at fire department request by a Captain or Chief.

FEMS Battalion Alarm Districts locations. The dataset contains locations and attributes of Battalion Alarm Districts, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Written documentation provided by FEMS identified Engine Local Alarm Districts locations. The dataset was created using the Street Center Line dataset as reference and snap base. Battalion Alarm Districts were aggregated from Engine Local Alarm Districts

FEMS Engine Local Alarm Districts locations. The dataset contains locations and attributes of Engine Local Alarm Districts, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Written documentation provided by FEMS identified Engine Local Alarm Districts locations. The dataset was created using the Street Center Line dataset as reference and snap base.

Rural Fire Areas divide the state of Queensland up into organisational areas for Rural Fire Service Queensland. Each area has a Chief Firewarden responsible for it. Data is presented as a zipped shape file. The data is uploaded automatically and updated on the 22nd of each month. (QFES was renamed QFD 01/07/2024)

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Fire. The data include parameters of fire history|paleolimnology with a geographic _location of Colorado, United States Of America. The time period coverage is from 13122 to 6 in calendar years before present (BP). See metadata information for parameter and study _location details. Please cite this study when using the data.

Deputy Chief Job #: 1250 Jurisdiction: Out-of-Scope Department: Fire and Protective Services

This data release contains numerous comma-separated text files with data summarizing observations in the within and adjacent to the Woodbury Fire, which burned from 8 June to 15 July 2019. In particular, this monitoring data was focused on debris flows in burned and unburned areas. Rainfall data (Wdby_Rainfall.zip) are contained in csv files called Wdby_Rainfall for 3 rain gages named: B2, B6, and Reavis. This is time-series data where the total rainfall is recorded at each timestamp. The location of each rain gage is listed as a latitude/longitude in each file. Data from absolute (i.e. not vented) pressure transducers (Wdby_Pressure.zip), which can be used to constrain the time of passage of a flood or debris flow, are available in csv files called Wdby_Pressure for four drainages (B1, B6, Reavis 1, and Reavis 2). This is time-series data where the measured pressure in kilopascals is recorded at each timestamp. The location of each pressure transducer is listed as a latitude/longitude in each file. Infiltration data are located in the csv file called WoodburyInfiltration.csv. The location of the measurement is listed as a latitude/longitude. Three measurement values are reported at each location: Saturated Hydraulic Conductivity (Ks) [mm/hr], Sorptivity (S) [mm/h^(1/2)], and pressure head (hf) [m]. The date of each measurement and soil burn severity class are also reported at each location, as well as a table explaining the burn-severity numerical class conversion. Particle size analyses using laser diffraction (WoodburyLaserDiffractionSummary.zip) are located in the files called WoodburyLaserDiffractionSummary for the fine fraction (< 2 mm) of hillslope and debris flow Deposits. The diameter of each particle size class is listed in the first column. All subsequent columns begin with the sample name. The value in each row is the percentage of the grain sizes in the size class. Location data for each of these samples is listed in the accompanying data table titled: WoodburyParticleSizeSummary.csv. The particle size data are summarized in the csv files (WoodburyParticleSizeSummary.zip) called WoodburyParticleSizeSummary by debris flow deposits and hillslope samples. These files group the raw data into more useable information. The sample name (Lab ID) is used to identify the Laser Diffraction data. The data columns (Lat) and (Lon) show the latitude and longitude of the sample locations. The total fraction of all the grain sizes, determined by sieving, are listed in three classes (Fraction < 16 mm, Fraction < 4 mm, Fraction < 2 mm). The fine fractions (< 2 mm) are also summarized in the columns (%Sand, %Silt, %Clay), as determined by laser diffraction. The data are identfied as in the burn area using entries of Yes, whereas unburned areas are shown as No, indicating no burn. The median particle size (D50) is listed if the sample collected in the field was representative of the deposit. In some cases, large cobbles and boulders had to be removed from the sample because were much too large to be included in sample bags that were brought back to the lab for analysis. The last column label (Description) contains notes about each sample. Pebble count data (WoodburyPebbleCountsSummary.zip) are available in csv files called WoodburyPebbleCountsSummary for six drainages (U10 Fan, U10 Channel, U22 Channel, B1 Channel, B7 Fan, and U42 Fan). Here U represents unburned, and B represents burned. The data name indicates whether the data come from a deposit located in a channel or a fan. In each file the particle is numbered (Num) and the B-axis measurement of the particle is reported in centimeters. The location of each pebble count is listed as a latitude/longitude in each file. Channel width measurements for 23 channels are saved in unique shapefiles within the file called Channel_Width_Transects.zip. These width measurements were made using Digital Globe imagery from 19 October 2019. The study basins used for the entire study can be found in the shapefile: Woodbury_StudyBasins.shp. The attribute table along with many morphometric and fire related statistics for each basin is also available in the file Woodbury_StudyBasins_Table.csv. A description of each column name in the table is available in the file Woodbury_StudyBasins_Table_descriptions.csv. Debris flow volumes were available in eleven drainage basins. The volume data is contained in the file Wdby_FlowVolume.csv in a column named (Volume). The volume units are cubic meters. The other column is the Basin ID, which can be found in the shapefile: Woodbury_StudyBasins.shp.

Financial overview and grant giving statistics of Houston Fire Department Chief Officers Association

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Fire. The data include parameters of fire history|tree ring with a geographic location of Arizona, United States Of America. The time period coverage is from 255 to 6 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Assistant Chief, Training Job #: 1605 Jurisdiction: Out-of-Scope Department: Fire and Protective Services

On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Fire and Emergency Medical Services testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.