Hurricane tracks and positions provide information on where the storm has been, where it is currently located, and where it is predicted to go. Each storm location is depicted by the sustained wind speed, according to the Saffir-Simpson Scale. It should be noted that the Saffir-Simpson Scale only applies to hurricanes in the Atlantic and Eastern Pacific basins, however all storms are still symbolized using that classification for consistency.Data SourceThis data is provided by NOAA National Hurricane Center (NHC) for the Central+East Pacific and Atlantic, and the Joint Typhoon Warning Center for the West+Central Pacific and Indian basins. For more disaster-related live feeds visit the Disaster Web Maps & Feeds ArcGIS Online Group.Sample DataSee Sample Layer Item for sample data during inactive Hurricane Season!Update FrequencyThe Aggregated Live Feeds methodology checks the Source for updates every 15 minutes. Tropical cyclones are normally issued every six hours at 5:00 AM EDT, 11:00 AM EDT, 5:00 PM EDT, and 11:00 PM EDT (or 4:00 AM EST, 10:00 AM EST, 4:00 PM EST, and 10:00 PM EST).Public advisories for Eastern Pacific tropical cyclones are normally issued every six hours at 2:00 AM PDT, 8:00 AM PDT, 2:00 PM PDT, and 8:00 PM PDT (or 1:00 AM PST, 7:00 AM PST, 1:00 PM PST, and 7:00 PM PST).Intermediate public advisories may be issued every 3 hours when coastal watches or warnings are in effect, and every 2 hours when coastal watches or warnings are in effect and land-based radars have identified a reliable storm center. Additionally, special public advisories may be issued at any time due to significant changes in warnings or in a cyclone. For the NHC data source you can subscribe to RSS Feeds.North Pacific and North Indian Ocean tropical cyclone warnings are updated every 6 hours, and South Indian and South Pacific Ocean tropical cyclone warnings are routinely updated every 12 hours. Times are set to Zulu/UTC.Scale/ResolutionThe horizontal accuracy of these datasets is not stated but it is important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center.Area CoveredWorldGlossaryForecast location: Represents the official NHC forecast locations for the center of a tropical cyclone. Forecast center positions are given for projections valid 12, 24, 36, 48, 72, 96, and 120 hours after the forecast's nominal initial time. Click here for more information.

Forecast points from the JTWC are valid 12, 24, 36, 48 and 72 hours after the forecast’s initial time.Forecast track: This product aids in the visualization of an NHC official track forecast, the forecast points are connected by a red line. The track lines are not a forecast product, as such, the lines should not be interpreted as representing a specific forecast for the location of a tropical cyclone in between official forecast points. It is also important to remember that tropical cyclone track forecasts are subject to error, and that the effects of a tropical cyclone can span many hundreds of miles from the center. Click here for more information.The Cone of Uncertainty: Cyclone paths are hard to predict with absolute certainty, especially days in advance.

The cone represents the probable track of the center of a tropical cyclone and is formed by enclosing the area swept out by a set of circles along the forecast track (at 12, 24, 36 hours, etc). The size of each circle is scaled so that two-thirds of the historical official forecast errors over a 5-year sample fall within the circle. Based on forecasts over the previous 5 years, the entire track of a tropical cyclone can be expected to remain within the cone roughly 60-70% of the time. It is important to note that the area affected by a tropical cyclone can extend well beyond the confines of the cone enclosing the most likely track area of the center. Click here for more information. Now includes 'Danger Area' Polygons from JTWC, detailing US Navy Ship Avoidance Area when Wind speeds exceed 34 Knots!Coastal Watch/Warning: Coastal areas are placed under watches and warnings depending on the proximity and intensity of the approaching storm.Tropical Storm Watch is issued when a tropical cyclone containing winds of 34 to 63 knots (39 to 73 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that tropical storm conditions will occur. It only means that these conditions are possible.Tropical Storm Warning is issued when sustained winds of 34 to 63 knots (39 to 73 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding.Hurricane Watch is issued when a tropical cyclone containing winds of 64 knots (74 mph) or higher poses a possible threat, generally within 48 hours. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. The watch does not mean that hurricane conditions will occur. It only means that these conditions are possible.Hurricane Warning is issued when sustained winds of 64 knots (74 mph) or higher associated with a tropical cyclone are expected in 36 hours or less. These winds may be accompanied by storm surge, coastal flooding, and/or river flooding. A hurricane warning can remain in effect when dangerously high water or a combination of dangerously high water and exceptionally high waves continue, even though winds may be less than hurricane force.RevisionsMar 13, 2025: Altered 'Forecast Error Cone' layer to include 'Danger Area' with updated symbology.Nov 20, 2023: Added Event Label to 'Forecast Position' layer, showing arrival time and wind speed localized to user's location.Mar 27, 2022: Added UID, Max_SS, Max_Wind, Max_Gust, and Max_Label fields to ForecastErrorCone layer.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.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!

As of March 2025, there were a reported 5,426 data centers in the United States, the most of any country worldwide. A further 529 were located in Germany, while 523 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These facilities can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

Top artificial intelligence firms are racing to build the biggest and most powerful Nvidia server chip clusters to win in AI. Below, we mapped the biggest completed and planned server clusters. Check back often, as we'll update the list when we confirm more data.

According to Cognitive Market Research, the global Digital Maps market size was USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.

The global Digital Maps market will expand significantly by XX% CAGR between 2024 to 2031.


North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Europe accounted for a share of over XX% of the global market size of USD XX million.


Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Latin America's market will have more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


The Tracking and Telematics segment is set to rise GPS tracking enables fleet managers to monitor their cars around the clock, avoiding expensive problems like speeding and other careless driving behaviors like abrupt acceleration. 


The digital maps market is driven by mobile computing devices that are increasingly used for navigation, and the increased usage of geographic data.


The retail and real estate segment held the highest Digital Maps market revenue share in 2023.

Market Dynamics of Digital Maps:

Key drivers of the Digital Maps Market

Mobile Computing Devices Are Increasingly Used for Navigation leading to market expansion-

Since technology is changing rapidly, two categories of mobile computing devices—tablets and smartphones—are developing and becoming more diverse. One of the newest features accessible in this category is map software, which is now frequently preinstalled on smartphones. Meitrack Group launched the MD500S, a four-channel AI mobile DVR, for the first time in 2022. The MD500S is a 4-channel MDVR with excellent stability that supports DMS, GNSS tracking, video recording, and ADAS. Source- https://www.meitrack.com/ai-mobile-dvr/#:~:text=Mini%204CH%20AI%20Mobile%20DVR,surveillance%20solutions%20that%20uses%20H.

It's no secret that people who own smartphones routinely use built-in mapping apps to find directions and other driving assistance. Furthermore, these individuals use georeferenced data from GPS and GIS apps to find nearby establishments such as cafes, movie theatres, and other sites of interest. Mobile computing devices are now commonly used to acquire accurate 3D spatial information. A personal digital assistant (PDA) is a software agent that uses information from the user's computer, location, and various web sources to accomplish tasks or offer services. Thus, mobile computing devices are increasingly used for navigation leading to market expansion.

The usage of geographic data has increased leading to market expansion-

Since it is used in so many different industries and businesses—including risk and emergency management, infrastructure management, marketing, urban planning, resource management (oil, gas, mining, and other resources), business planning, logistics, and more—geospatial information has seen a boom in recent years. Since location is one of the essential components of context, geo-information also serves as a basis for applications in the future. For example, Atos SE provides services to companies in supply chain management, data centers, infrastructure development, urban planning, risk and emergency management, navigation, and healthcare by utilizing geographic information system (GIS) platforms with location-based services (LBS).

Furthermore, augmented reality-based technologies make use of 3D platforms and GIS data to offer virtual information about people and their environment. Businesses can offer users customized ads by using this information to better understand their needs.Thus, the usage of geographic data has increased leading to market expansion.

Restraints of the Digital Maps Market

Lack of knowledgeable and skilled technicia...

This is a component of the Atlantic Ocean Hurricane Tracker Story Map. The hurricane track layers are provided by National Hurricane Center and the satellite imagery layers are provided by NESDIS using GOES data. About NHC The National Hurricane Center (NHC) is a component of the National Centers for Environmental Prediction (NCEP) located at Florida International University in Miami, Florida. The NHC mission is to save lives, mitigate property loss, and improve economic efficiency by issuing the best watches, warnings, forecasts, and analyses of hazardous tropical weather and by increasing understanding of these hazards. The NHC vision is to be America's calm, clear, and trusted voice in the eye of the storm and, with its partners, enable communities to be safe from tropical weather threats.About NESDIS National Environmental Satellite, Data, and Information Service (NESDIS) provides secure and timely access to global environmental data and information from satellites and other sources to promote and protect the Nation's security, environment, economy, and quality of life.GOES-R Series Satellites NOAA’s most sophisticated Geostationary Operational Environmental Satellites (GOES), known as the GOES-R Series, provide advanced imagery and atmospheric measurements of Earth’s Western Hemisphere, real-time mapping of lightning activity, and improved monitoring of solar activity and space weather.GOES satellites orbit 22,236 miles above Earth’s equator, at speeds equal to the Earth's rotation. This allows them to maintain their positions over specific geographic regions so they can provide continuous coverage of that area over time.The first satellite in the series, GOES-R, now known as GOES-16, was launched in 2016 and is currently operational as NOAA’s GOES East satellite. GOES-S, now known as GOES-17, was launched in 2018 and now serves as an on-orbit backup. GOES-T, now GOES-18, launched in 2022 and now serves as NOAA’s operational GOES West satellite. GOES satellites are designated with a letter prior to launch. Once a GOES satellite has successfully reached geostationary orbit, it is renamed with a number. GOES-U, the final satellite in the series, is scheduled to launch in 2024.Together, GOES East and GOES West watch over more than half the globe — from the west coast of Africa to New Zealand and from near the Arctic Circle to the Antarctic Circle. The GOES-R Program is a collaborative effort between NOAA and NASA. NASA builds and launches the satellites for NOAA, which operates them and distributes their data to users worldwide.

This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; U.S. Geological Survey; National Park Service; and the National Geophysical Data Center, to produce benthic habitat maps and georeferenced imagery for Puerto Rico and the U.S. Virgin Islands. This project was conducted in support of the U.S. Coral Reef Task Force. These point data were generated while conducting ground validation during map preparation.

The Data Center at the Guttmacher Institute is focused on providing information on the state, national, and international level related to reproductive and sexual health. Background The Data Center is maintained by the Guttmacher Institute. The Guttmacher Institute’s goal is to advance the sexual and reproductive health in the United States and worldwide through an interrelated program of social science research, policy analysis and public education designed to generate new ideas, encourage enlightened public debate and promote sound policy and program development. In 2009, Guttmacher was designated an official Collaborating Center for Reproductive Health by the World Health Organization and its regional office, the Pan American Health Organization. The Institute produces a wide range of publications and resources on topics pertaining to sexual and reproductive health, including International Perspectives on Sexual and Reproductive Health, the Guttmacher Policy Review and Perspectives on Sexual and Reproductive Health. The Data Center allows users to search on the national, inter national, and state level for specific laws and policies related to title X, family planning, abortion policies, contraceptive needs and services, and teen pregnancy. User functionality Users are able to search U.S. and state data as well as international data. State profiles and country summaries are provided and include synopses of the main legislation related to sexual and reproductive health in that area. Users are also able to customize domestic and international data by creating a specific table, tracking a specific trend, or generating a specific map. Users are able to select specific indicators including data related to abortions, adol escents, demographics, contraception, pregnancy, and services and financing. Data Notes Users are able to download reports and summaries in html or pdf formats. If users generate tables or maps they are created in html and excel formats. The source of the data is clearly labeled and provided for each table/report. There is no indication on the website as to how often the data is updated.

The data set contains velocity maps of the Sorsdal and East Ranvik Glacier produced from X-band Synthetic Aperture Radar data TerraSAR-X acquired by the German Space Agencies’ (DLR) TerraSAR-X and TanDEM-X satellites under proposal HYD3058.

The velocity data were produced by applying standard speckle tracking techniques to the X-band SAR data [Joughin, 2002]. The offset data are smoothed to reduce noise, so that although the data are posted at 125-m, the actual resolution is a few hundred meters. The formal errors are generally less than 10 m/yr, but could be larger where there are errors in the digital elevation model (less than ~3%).

Track naming

Each velocity map is named according to the orbit numbers of the satellite (counting from launch) at which the images being differenced were acquired. The convention used is track-nnnnntmm where nnnnn is the orbit of the first acquisition. The orbits are sun-synchronized and repeat (to within a few hundred meters) every 167 orbits. So the repeat pattern gives rise to 167 tracks , and mm = nnnnn mod 167

File Format

The directory for each track contains the following files: mosaicOffsets.meta: metadata for the image acquisitions mosaicOffsets.vx, mosaicOffsets.vy: velocity components in gridded format mosaicOffsets.ex, mosaicOffsets.ey: optional files providing pixel-by-pixel error estimates for the corresponding .vx and .vy files mosaicOffsets.??.geodat: location information for grid

The metadata for each track take the sample form:

Central Julian Date (CE) for Pair = 2457443.621 First Image Date (MM:DD:YYYY) = Feb:13:2016 Second Image Date (MM:DD:YYYY) = Mar:06:2016 Nominal Time for Pair (HH:MM:SS) = 14:53:56 Sensor = TSX/TDX Product Center Latitude = -68.95923 Product Center Longitude = 78.21724 Production Date/Time = Sep-18-2017-14:01:46

where the nominal time is the algebraic mean of the acquisition times of the image pair used. The Production Date/Time refers to the time at which the speckle-tracking processing was completed. The specific numerical entries in the meta data obviously differ from the example above for different tracks.

Antarctic Polar Stereographic coordinates are used, with a standard latitude of 71 South. The location information provided by the *.geodat files takes the following sample form:

2

; ; Image size (pixels) nx ny ; 1080 720 ; ; Pixel size (m) deltaX deltaY ; 125.000000 125.000000 ; ; Origin, lower left corner (km) Xo Yo ; 2195.000000 427.000000

The numerical values for image size, pixel size and lower left corner of the grid will in general differ from those given above; the pixel size, pixel number and location (in polar stereographic coordinates) of the lower left-hand corner allow the entire grid to be reconstructed without needing to save each pixel location redundantly.

The vx and vy components of velocity are contained in the files mosaicOffsets.vx and mosaicOffsets.vy. The x- and y- directions are those specified by the Polar Stereographic grid. All data files are in 4-byte IEEE floating point format with the same byteordering used by non-Intel Macintosh computers and most linux workstations (note that this is not the standard PC byteorder). No data (NaN) values are marked as -2.0e9; these should be replaced by a platform-specific not-a-number signifier before displaying the data.

Joughin, I.: Ice-sheet velocity mapping: A combined interferometric and speckle-tracking approach, Ann Glaciol, 34, 195–201, 2002.

This is a component of the main Hurricane Tracker Story Map. The hurricane track layers are provided by National Hurricane Center and the satellite imagery layers are provided by NESDIS using GOES data. About NHC The National Hurricane Center (NHC) is a component of the National Centers for Environmental Prediction (NCEP) located at Florida International University in Miami, Florida. The NHC mission is to save lives, mitigate property loss, and improve economic efficiency by issuing the best watches, warnings, forecasts, and analyses of hazardous tropical weather and by increasing understanding of these hazards. The NHC vision is to be America's calm, clear, and trusted voice in the eye of the storm and, with its partners, enable communities to be safe from tropical weather threats. About NESDIS National Environmental Satellite, Data, and Information Service (NESDIS) provides secure and timely access to global environmental data and information from satellites and other sources to promote and protect the Nation's security, environment, economy, and quality of life.About NESDIS National Environmental Satellite, Data, and Information Service (NESDIS) provides secure and timely access to global environmental data and information from satellites and other sources to promote and protect the Nation's security, environment, economy, and quality of life.GOES-R Series Satellites NOAA’s most sophisticated Geostationary Operational Environmental Satellites (GOES), known as the GOES-R Series, provide advanced imagery and atmospheric measurements of Earth’s Western Hemisphere, real-time mapping of lightning activity, and improved monitoring of solar activity and space weather.GOES satellites orbit 22,236 miles above Earth’s equator, at speeds equal to the Earth's rotation. This allows them to maintain their positions over specific geographic regions so they can provide continuous coverage of that area over time.The first satellite in the series, GOES-R, now known as GOES-16, was launched in 2016 and is currently operational as NOAA’s GOES East satellite. GOES-S, now known as GOES-17, was launched in 2018 and now serves as an on-orbit backup. GOES-T, now GOES-18, launched in 2022 and now serves as NOAA’s operational GOES West satellite. GOES satellites are designated with a letter prior to launch. Once a GOES satellite has successfully reached geostationary orbit, it is renamed with a number. GOES-U, the final satellite in the series, is scheduled to launch in 2024.Together, GOES East and GOES West watch over more than half the globe — from the west coast of Africa to New Zealand and from near the Arctic Circle to the Antarctic Circle. The GOES-R Program is a collaborative effort between NOAA and NASA. NASA builds and launches the satellites for NOAA, which operates them and distributes their data to users worldwide.

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, consists of mean monthly velocity maps for selected glacier outlet areas. The maps are generated by tracking visible features between optical image pairs acquired by the Landsat 4 and 5 Thematic Mapper (TM), the Landsat 7 Enhanced Thematic Mapper Plus (ETM+), the Landsat 8 Operational Land Imager (OLI), and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). See Greenland Ice Mapping Project (GIMP) for related data.

Download a Map Document of Positive Forage Fish Spawning Habitat compared to Sensitivity to Sea Level Rise in the Northern CRD. To do this the map utilizes two datasets: The predicted Sensitivity to Sea Level Rise dataset which was modeled by BC Parks. Additional information about this dataset be found here. A Forage Fish Spawning Beach Monitoring dataset that contains data from beach sampling of Pacific sand lance and Surf smelt spawn events. This dataset is assembled by Strait of Georgia Data Centre staff using data submissions from a network of organizations (e.g. Sea Watch, MABBRI, Peninsula Streams Society) that often employ the help of citizen scientists to conduct their efforts. There is a parent metadata record for this dataset here, from which you can access child record about some of the individual survey efforts (e.g. child record titled 'Forage fish habitat monitoring data in the Capital Regional District, 2018+).

This map describes the current & recent location of tropical storms, as well as forecast positions and probable track of tropical storms. The areas currently covered by the live feeds are the Atlantic and Eastern Pacific, the Central Pacific (Hawaii, etc.), and the Western Pacific and Indian Ocean. The data sources are the National Hurricane Center, Central Pacific Hurricane Center and Joint Typhoon Warning Center. The shaded area around the forecast track is called the "cone of uncertainty." The cone represents the probable track of the center of a tropical cyclone. More info. About the data: Weather Stations (NOAA METAR): Typical METAR contains data for the temperature, dew point, wind speed and direction, precipitation, cloud cover and heights, visibility, and barometric pressure. A METAR may also contain information on precipitation amounts, lightning, and other information. Active/Recent Hurricanes: The active data describes the path and forecast path of tropical activity including points, tracks, watch/warnings, and the cone of uncertainty. More info. Past Positions and Observed Track are products of the National Hurricane Center (NHC).

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.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

This data set, as part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, combines interferometric phases from multiple satellite interferometric synthetic-aperture radar systems to derive the first comprehensive phase-based map of Antarctic ice velocity. The precision in ice speed and flow direction over 80% of Antarctica is better than prior mappings based on feature and speckle tracking by a factor of 10. Phase-derived velocity mostly covers the years between 2007 and 2018, while tracking-derived velocity (for regions along the coasts) is mostly found in the years from 2013 to 2017. Additional data acquired between 1996 and 2018 were used as needed to maximize coverage.

See Antarctic Ice Sheet Velocity and Mapping Data for related data.

The NRCS National Water and Climate Center's Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and automated Snow Telemetry (SNOTEL) and Soil Climate Analysis Network (SCAN) stations. Other data sources include precipitation, streamflow, and reservoir data from the U.S. Bureau of Reclamation (BoR), the Applied Climate Information System (ACIS), the U.S. Geological Survey (USGS), and other hydrometeorological monitoring entities. The Interactive Map has two regions: the map display itself, and the map controls which determine both the display mode and the types of data and stations to show on the map: Display Modes; Map Components; Station Conditions Controls; Basin Conditions Controls; Station Inventory Controls. Resources in this dataset:Resource Title: Interactive Map home. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/predefinedMaps/ The Interactive Map provides spatial visualization of current and historic hydrometeorological data collected by the Natural Resources Conservation Service and other monitoring agencies. The map also provides station inventories based on sensor and geographic filters. This page has links to pre-defined maps organized by data type. After opening a map, users can zoom to area of interest, customize the map, and then bookmark the URL to save the settings.

Observed Track

Handdrawn maps plotting the ships position over time, with notes recording the sea ice and icebergs observed for each plotted point. Also includes sketches of the ice edge and some fast ice positions for the area around where the ship was travelling.

The data relate to Voyage 1, of the 1985/86 season, otherwise known as, the "ADBEX III" voyage.

The maps are archived at the Australian Antarctic Division.

The Digital Geologic-GIS Map of the Center Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (cent_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (cent_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (cent_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (cent_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and Kentucky Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (cent_geology_metadata.txt or cent_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).