The Time Zones dataset was compiled on October 04, 2019 and was updated January 05, 2023 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This layer is a digital representation of the geographic boundaries of the nine time zones that cover the United States and its territories (the Atlantic, Eastern, Central, Mountain, Pacific, Alaska, Hawaii–Aleutian, Samoa, and Chamorro time zones). The U.S. Department of Transportation (DOT) oversees the Nation's time zones and the uniform observance of Daylight-Saving Time. The oversight of time zones was assigned to DOT due to the importance of time coordination for transportation related activities. The time zones were established by the Standard Time Act of 1918 and amended by the Uniform Time Act of 1966. Time zones in the U.S. are defined in the U.S. Code, Title 15, Chapter 6, Subchapter IX - Standard Time. The time zone boundaries are defined in the Code of Federal Regulations (CFR), Title 49, Subtitle A, Part 71 - Standard Time Zone Boundaries. Segments used to compile the geospatial layer were derived from the CFR’s time zone descriptions (https://www.ecfr.gov/current/title-49/subtitle-A/part-71). Descriptions consist of segments referencing administrative boundaries, infrastructure, natural features, and geodesic lines. These segments are contained in various data layers in the National Geospatial Data Asset (NGDA) portfolio, the federal government’s authoritative geospatial data repository. Referenced segments were extracted from their NGDA and then merged to form continuous boundaries. In instances where there were multiple scales for a given dataset, the largest scale or most detailed layer was used. The standard time of the Atlantic zone is the Coordinated Universal Time (UTC) minus 4 hours; Eastern zone is UTC minus 5 hours; Central zone is UTC minus 6 hours; Mountain zone is UTC minus 7 hours; Pacific zone is UTC minus 8 hours; Alaska zone is UTC minus 9 hours; Hawaii–Aleutian zone is UTC minus 10 hours; Samoa zone is UTC minus 11 hours; and Chamorro zone is UTC plus 10 hours. For more information, please visit: https://doi.org/10.21949/1519143.

Dataset Card for Zip Code to Timezone Offset Mapping

This dataset maps Zip Codes and Postal Codes for the USA and Canada to the relevant timezone offset.

  Dataset Details





  Dataset Description

In addition to providing a mapping from a Zip Code or Postal Code to timezone offset, it also contains the timezone offset for DST (if observed).

Curated by: Bobby Gill, BlueLabel

  Acknowledgements

Based off the Work Here:… See the full description on the dataset page: https://huggingface.co/datasets/omgbobbyg/Zip-Code-to-Timezone.

In the late 19th century and into the early 20th century, the world globalized. New technology and more accessible transportation, such as trains, allowed people, ideas, and goods to travel faster and more easily around the world. Time standardization was greatly needed in a world becoming increasingly interconnected.For example, in the United States, the railroad system faced big problems by the late 1800s. Each town and city went by their own time, which was usually regulated by a clock in the town center. Many towns used natural time markers, so whenever they saw the sun highest in the sky, was “high noon.” This caused confusion and some collisions among trains, as different communities were not following the same local time.To prevent further damage, Canadian railway engineer Sir Sandford Fleming devised a globally standardized time system. He proposed to regulate time by dividing the earth into 24 one-hour time zones utilizing longitude lines, each 15 degrees apart. Longitude lines mark the distance east or west of the prime meridian. Fleming’s recommendations led to an international conference held in 1884 to select a common prime meridian, otherwise known as zero degrees longitude, on which to base time zones. Previously, different countries had different prime meridians. However, at the conference, the committee decided that the world should identify an official meridian, and they chose the Greenwich meridian. Although much has changed since the conference in 1884, Fleming’s design has stayed intact, with variations based on political and geographic decisions. For example, China, a very large country, only uses one time zone, while many places in the Middle East use half-hour time zones. This map layer shows the 24 time zones commonly used in the Greenwich Mean Time model. The hours added or subtracted from the time in Greenwich are marked on the map. For example, if it is 1:00 p.m. in London, England, United Kingdom, it is 6:30 pm in New Delhi, Delhi, India (+5.50), and 5:00 a.m. in Los Angeles, California, United States (-8.00). Use this layer to see how time is regulated around the world.

California's Coastal Zone generally extends seaward to the state's outer limit of jurisdiction, including all offshore islands, and inland to approximately 1,000 yards from the mean high tide line (MHTL) of the sea, or in significant coastal estuarine, habitat, and recreational areas to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less. In developed urban areas the zone generally extends inland less than 1,000 yards. This data set represents the landward boundary of California's Coastal Zone. Public Resources Code (PRC) Section 30103(a) specifically defines California's Coastal Zone as that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico depicted on maps identified and set forth in Section 17 of that chapter of the Statutes of the 1975-76 Regular Session enacting PRC Division 20 (the Coastal Act of 1976). PRC Section 30103(b) directed the Coastal Commission to prepare and adopt more detailed 1:24,000 scale Coastal Zone Boundary (CZB) maps, which occurred March 1, 1977. These 161 adopted maps provide the official basis for all other representations of the landward CZB. The digital version of the CZB created by developing this shapefile is a conformed copy of the official boundary, and in some locations reflects legislative changes and Coastal Commission minor adjustments adopted from time to time since March 1977.

Section 30103 of the Coastal Act:

Coastal zone; map; purpose (a) "Coastal zone" means that land and water area of the State of California from the Oregon border to the border of the Republic of Mexico, specified on the maps identified and set forth in Section 17 of Chapter 1330 of the Statutes of 1976, extending seaward to the state's outer limit of jurisdiction, including all offshore islands, and 11 extending inland generally 1,000 yards from the mean high tide line of the sea. In significant coastal estuarine, habitat, and recreational areas it extends inland to the first major ridgeline paralleling the sea or five miles from the mean high tide line of the sea, whichever is less, and in developed urban areas the zone generally extends inland less than 1,000 yards. The coastal zone does not include the area of jurisdiction of the San Francisco Bay Conservation and Development Commission, established pursuant to Title 7.2 (commencing with Section 66600) of the Government Code, nor any area contiguous thereto, including any river, stream, tributary, creek, or flood control or drainage channel flowing into such area.

Note that the California's State Waters limit, which generally is 3 nautical miles [5.6 km] from shore, extends farther offshore (as much as 12 nautical miles) between Santa Cruz and Monterey, so that it encompasses all of Monterey Bay.

Explore a full description of the map.This map layer shows the 24 time zones commonly used in the Greenwich Mean Time model. The hours added or subtracted from the time in Greenwich are marked on the map. For example, if it is 1:00 p.m. in London, England, United Kingdom, it is 6:30 pm in New Delhi, Delhi, India (+5.50), and 5:00 a.m. in Los Angeles, California, United States (-8.00). CreditsEsri, from National Geographic MapMakerTerms of Use This work is licensed under the Esri Master License Agreement.View Summary | View Terms of Use

The 2012 USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which plants are most likely to thrive at a location. The map is based on the average annual minimum winter temperature, divided into 10-degree F zones. For the first time, the map is available as an interactive GIS-based map, for which a broadband Internet connection is recommended, and as static images for those with slower Internet access. Users may also simply type in a ZIP Code and find the hardiness zone for that area. No posters of the USDA Plant Hardiness Zone Map have been printed. But state, regional, and national images of the map can be downloaded and printed in a variety of sizes and resolutions. Resources in this dataset:Resource Title: USDA Plant Hardiness Zone Map. File Name: Web Page, url: https://planthardiness.ars.usda.gov/pages/view-maps Includes interactive, static, and georeferenced maps, map and data downloads, and information about plant hardiness zones in the United States.

Contained within the Atlas of Canada's Reference Map Series, 1961 to 2010, is a general reference map of North America to 1995. Its special features include all federal, provincial and state boundaries for Canada, the United States and Mexico; major road and rail transportation networks; and offshore features such as ocean bathymetry and Canada's exclusive fishing zone. There is also a distance chart for major cities (which also gives their populations and time zones); an inset map showing physiography and prominent elevations; and (on the folded version of the maps), a gazetteer listing all 2400 populated places shown on the map. This map is offered in two versions: a flat copy on semi-gloss paper and a folded copy on heavy map paper. The map is an update of the 1971 edition.

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk). These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Important: Our technical support team is available to assist you during business hours only. Please keep in mind that we can only address technical difficulties during these hours. When using the product to make decisions, please take this into consideration.

Abstract This spatial product shows accumulating 3-hourly snapshots of bushfire and prescribed burn boundaries, consistent across all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. This dataset is derived from the National Near-Real-Time Bushfire Boundaries product. Currency Maintenance of the underlying data is the responsibility of the individual custodian. NOTE: The update frequency of the underlying data from the jurisdictions varies and, in most cases, does not line up to this product’s update cycle. Date created: November 2023 Modification frequency: Every 3 Hours Spatial Extent

West Bounding Longitude: 113° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -10°

Source Information This dataset is derived from the National Near-Real-Time Bushfire Boundaries product. The project team initially identified a list of potential source data through jurisdictional websites and the Emergency Management LINK catalogue. These were then confirmed by each jurisdiction through the EMSINA National and EMSINA Developers networks. This Webservice contains authoritative data sourced from:

Australian Capital Territory - Emergency Service Agency (ESA) New South Wales - Rural Fire Service (RFS) Queensland - Queensland Fire and Emergency Service (QFES) South Australia - Country Fire Service (CFS)
Tasmania - Tasmania Fire Service (TFS)
Victoria – Department of Environment, Land, Water and Planning (DELWP)
Western Australia – Department of Fire and Emergency Services (DFES)

The completeness of the data within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Known Limitations:

This dataset does not contain information from the Northern Territory government. This dataset contains a subset of the Queensland bushfire boundary data. The Queensland ‘Operational’ feed that is consumed within this National Database displays a the last six (6) months of incident boundaries. In order to make this dataset best represent a ‘near-real-time’ or current view of operational bushfire boundaries Geoscience Australia has filtered the Queensland data to only incorporate the last two (2) weeks data. Geoscience Australia is aware of duplicate data (features) may appear within this dataset. This duplicate data is commonly represented in the regions around state borders where it is operationally necessary for one jurisdiction to understand cross border situations. Care must be taken when summing the values to obtain a total area burnt. The data within this aggregated National product is a spatial representation of the input data received from the custodian agencies. Therefore, data quality and data completion will vary. If you wish to assess more information about specific jurisdictional data and/or data feature(s) it is strongly recommended that you contact the appropriate custodian.

The accuracy of the data attributes within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Note: Geoscience Australia has, where possible, attempted to align the data to the (as of October 2023) draft National Current Incident Extent Feeds Data Dictionary. However, this has not been possible in all cases. Work to progress this alignment will be undertaken after the publication of this dataset, once this project enters a maintenance period. Catalog entry: Bushfire Boundaries – 3-Hourly Accumulation Lineage Statement Version 1 (2021/22): A 2021/22 version of the National 3 Hourly Cumulative Bushfire Boundaries dataset was produced by Geoscience Australia. This product was owned and managed by Geoscience Australia, who provided both development and delivery. Work on Version 1 of this dataset began in August 2021 with delivery occurring in September 2021. The dataset was discontinued in May 2022 due to insufficient Government funding. Version 2 (2023/25): A 2023/25 version of National Near-Real-Time Bushfire Boundaries dataset is produced by Geoscience Australia under funding from the National Bushfire Intelligence Capability (NBIC) - CSIRO. NBIC and Geoscience Australia have also partnered with the EMSINA Group to assist with accessing and delivering this dataset. This dataset is the first time where the jurisdictional attributes are aligned to AFAC’s National Bushfire Schema.
Work on Version 2 began in August 2023 and was released in late 2023 under formal access arrangements with the States and Territories. Data Dictionary Geoscience Australia has not included attributes added automatically by spatial software processes in the table below.

Attribute Name Description

fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

fire_name Incident name. If available.

fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

agency Agency that is responsible for the incident

date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

Contact Contact: Geoscience Australia clientservices@ga.gov.au

Please zoom in to a town or local area for data to display.Abstract The Historical Bushfire Boundaries Dataset (version 2) represents the aggregation of jurisdictional supplied burnt areas polygons that date from the early 1900s through to 2023 (excluding the Northern Territory). The burnt areas represent curated jurisdictional owned polygons of bushfires and prescribed (planned) burns. This dataset was produced under Work Stream 1C - Activity 3 of the National Bushfire Intelligence Capability (NBIC) , a collaborative partnership between:

Australian Climate Service CSIRO (NBIC) Geoscience Australia Emergency Management Spatial Information Network (EMSINA)

Under agreement this Project (Activity 3) will release a nationally consistent, harmonised and standardised historical bushfire boundary dataset derived from the authoritative state and territory agencies in both 2023 (this dataset) and again in November 2024.
The information released within this dataset is reflective of the data supplied by participating authoritative agencies. It may, or may not, represent all fire history within that jurisdiction. Geoscience Australia's role within this project is to:

negotiate access to the state/territory historic bushfire boundary datasets aggregate, harmonise and standardise the jurisdictional data against the Australasian Fire Authorities Council (AFAC) National Bushfire Boundary Standards host the completed spatial product(s) arrange for the 'Historical Bushfire Boundaries' spatial dataset to be accessible through Geoscience Australia’s external data catalogues and through the new Digital Atlas of Australia platform ensure stakeholders have access to regular project updates.

To harmonsise and standardise this dataset Geoscience Australia have utilised the AFAC endorsed data dictionary for fire history. This data dictionary and the definitions provided allowed Geoscience Australia to map common attributes from both sources. Unfortunately, not all attributes mapped across like-for-like. This resulted in Geoscience Australia either modifying or joining some of the jurisdictional attributes to fit or Geoscience Australia added them during the processing stage. Currency Date created: 03 March 2023 Date modified: November 2023 Next modification date: November 2024 Spatial Extent

West Bounding Longitude: 112° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -9°

Source Information Catalog entry: Bushfire Boundaries – Historical Lineage Statement This dataset extends upon the first version of this dataset to be built and released under the Australia Research Data Commons Project in early 2023.
This dataset (version 2) represents an updated aggregation of each jurisdiction (except the Northern Territory) fire history data to include information from the 2022-23 bushfire season.
Agencies that have provided data include:

Australian Capital Territory Parks and Conservation
New South Wales Parks and Wildlife Service Queensland Parks and Wildlife Service South Australia Department of Environment, Water and Natural Resources Tasmania Department of Natural Resources and Environment Victorian Department of Environment, Land, Water and Planning Western Australia Department of Fire and Emergency Services

The Northern Territory Government is progressing in the development of their Bushfire Boundary Capabilities. Work is underway with the relevant agencies to incorporate Northern Territory Government approved Historical Bushfire Boundary data in the future.
Product standardisation: The data provided by each jurisdiction is standardised and harmonised. This process maps the existing state/territory attributes to the National Data Schema that was agreed to and endorsed by the participating state agencies and the Australian Fire and Emergency Services Authorities Council. The Digital Atlas of Australia data team published an optimised Bushfire Boundaries Historic dataset designed to perform efficiently in either a desktop application or a web service.
This process utilised FME to reduce the processing time on millions of vertices within the complex dataset:

Dataset projected to epsg:4326 to align with the near real time services hosted on the Digital Atlas of Australia Removes island or donut polygons within a fire extent, therefore a fire extent is shown with an outline and no internal parts Create separate polygon chunks based on 10000 vertices while maintaining the same attributes for each chunk of the identified fire, if a fire consists of multiple polygons each polygon is counted separately within the identified fire

As a result the Bushfire Boundaries Historic dataset hosted in the Digital Atlas of Australia has more records than the original dataset. Data Dictionary All Layers

Attribute Name Description

fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

fire_name Incident name. If available.

fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

agency Agency that is responsible for the incident

date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

Fire Type definitions

Data Source Category Description

Bushfire Unplanned vegetation fire. A generic term which includes grass fires, forest fires and scrub fires both with and without a suppression objective. Also known as wildfire, accident, arson, lightning.

Prescribed Burn The controlled application of fire under specified environmental conditions to a predetermined area and at the time, intensity, and rate of spread required to attain planned resource management objectives. Also known as planned burning, fuel reduction, traditional owner, ecological, hazard reduction

Unknown Fire type is undetermined.

Ignition Cause definitions

Data Source Category Description

Accidental Fires that are not the result of a deliberate (intentional) act.

Natural Fires that ignite without human intervention.

Incendiary Fires result from deliberate acts, intentional actions, or circumstances for the fire to occur in areas where it should not have occurred.

Undetermined Fires that have not yet been investigated, under investigation or fires that have been investigated and the cause is not proven to an acceptable level of certainty.

Capture Method definitions

Data Source Category Description

Aerial photography Derived from Aerial photography including manual interpretation as well as partially automated and fully automated methods.

Linescanner Mapped against airborne sensor systems.

Ground intelligence Mud map from ground observation.

Ground intelligence GPS Fire boundary derived from ground (e.g. GPS tracker, Avenza).

Air intelligence Mud map from air observation.

Air intelligence GPS Fire boundary derived from air (e.g. helicopter, spotter).

Himawari Derived from geostationary satellite Himawari and includes manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 2 kilometres).

NOAA AVHRR Derived from Low Resolution - NOAA AVHRR satellite including manual interpretation, partially automated and fully automated methods (spatial accuracy ± 1 kilometres).

MODIS Derived from Low Resolution - MODIS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 250 metres).

VIIRS Derived from Low Resolution - VIIRS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 375 metres).

Landsat Derived from Medium Resolution - Landsat satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 30 metres).

Sentinel Derived from Medium Resolution - Sentinel satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 10 - 20 metres).

Multiple Derived from multiple sources e.g. combination of ground intel and linescanner. For detailed information contact agency or state responsible.

Unknown Data Source is unknown.

Contact Geoscience Australia, clientservices@ga.gov.au

It is difficult to imagine boundaries existing in the open ocean. In reality, boundaries have divided the waters of the United States throughout most of the nation's history. These marine boundaries have changed over time, with reference points serving to delineate the extent of federal statutes, regulations, and jurisdictions. This story map outlines the history of U.S. marine boundaries, how they have changed over time, and how current boundary data have been developed for MarineCadastre.gov.

This layer contains the FDOT District polygons. It also includes a polygon structure that facilitates zooming to the approximate extent of the Florida Turnpike (District 8). The polygon for District 8 is not an official boundary but instead provides a structure that can be used in operations dashboards that require the need to zoom to the extent of the Turnpike. The polygons for Districts 1 through 7 are formally recognized boundaries. This layer also contains a string representation of the District number to be used for filtering real-time hosted feature layers which also have a string representation of the District number.

This map displays the Quantitative Precipitation Forecast (QPF) for the next 72 hours across the contiguous United States. Data are updated hourly from the National Digital Forecast Database produced by the National Weather Service.The dataset includes incremental and cumulative precipitation data in 6-hour intervals. In the ArcGIS Online map viewer you can enable the time animation feature and select either the "Amount by Time" (incremental) layer or the "Accumulation by Time" (cumulative) layer to view a 72-hour animation of forecast precipitation. All times are reported according to your local time zone.Where is the data coming from?The National Digital Forecast Database (NDFD) was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces forecast data of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from National Weather Service (NWS) field offices working in collaboration with the National Centers for Environmental Prediction (NCEP). All of these organizations are under the administration of the National Oceanic and Atmospheric Administration (NOAA).Source: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.qpf.binWhere can I find other NDFD data?The Source data is downloaded and parsed using the Aggregated Live Feeds methodology to return information that can be served through ArcGIS Server as a map service or used to update Hosted Feature Services in Online or Enterprise.What can you do with this layer?This map service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!