27 datasets found
  1. Metropolitan Area Look-Up

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Metropolitan Area Look-Up [Dataset]. https://catalog.data.gov/dataset/metropolitan-area-look-up
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This system provides the user with a facility to select a state and county combination to determine if the selected county is part of an Office of Management and Budget (OMB) defined Core Based Statistical Area (CBSA). The system has been updated with OMB area definitions published for FY 2009.

  2. T

    2020 Census Redistricting Data 5 County Austin MSA - Tracts

    • datahub.austintexas.gov
    • data.austintexas.gov
    • +1more
    csv, xlsx, xml
    Updated Aug 13, 2021
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    City of Austin, Texas - data.austintexas.gov (2021). 2020 Census Redistricting Data 5 County Austin MSA - Tracts [Dataset]. https://datahub.austintexas.gov/Locations-and-Maps/2020-Census-Redistricting-Data-5-County-Austin-MSA/quyr-6u5e
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Aug 13, 2021
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    Area covered
    Austin Metropolitan Area
    Description

    This is redistricting data from the 2020 census at the census tract level. Technical documentation for the decennial census is available here: https://www.census.gov/programs-surveys/decennial-census/technical-documentation/complete-technical-documents.html

  3. O

    2020 Census Redistricting Data 5 County Austin MSA - Blocks

    • data.austintexas.gov
    • datahub.austintexas.gov
    • +1more
    csv, xlsx, xml
    Updated Aug 13, 2021
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    City of Austin, Texas - data.austintexas.gov (2021). 2020 Census Redistricting Data 5 County Austin MSA - Blocks [Dataset]. https://data.austintexas.gov/w/qsjt-zm5v/7r79-5ncn?cur=5_nRlYLiKKc&from=root
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Aug 13, 2021
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    Area covered
    Austin Metropolitan Area
    Description

    This shows redistricting data for the 2020 census at the block level. Full technical documentation for the census is available here: https://www.census.gov/programs-surveys/decennial-census/technical-documentation/complete-technical-documents.html

  4. o

    Data from: IRA Energy Community Data Layers

    • osti.gov
    Updated Apr 4, 2023
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    Energy, U S Department of (2023). IRA Energy Community Data Layers [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1967447
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    Dataset updated
    Apr 4, 2023
    Dataset provided by
    National Energy Technology Laboratory - Energy Data eXchange; NETL
    USDOE Office of Fossil Energy (FE)
    Authors
    Energy, U S Department of
    Description

    Data, geospatial data resources, and the linked mapping tool and web services reflect data for two types of potentially qualifying energy communities: 1) Census tracts and directly adjoining tracts that have had coal mine closures since 1999 or coal-fired electric generating unit retirements since 2009. These census tracts qualify as energy communities. 2) Metropolitan statistical areas (MSAs) and non-metropolitan statistical areas (non-MSAs) that are energy communities for 2023 and 2024, along with their fossil fuel employment (FFE) status. Additional information on energy communities and related tax credits can be accessed on the Interagency Working Group on Coal & Power Plant Communities & Economic Revitalization Energy Communities website (https://energycommunities.gov/energy-community-tax-credit-bonus/). Use limitations: these spatial data and mapping tool may not be relied upon by taxpayers to substantiate a tax return position or for determining whether certain penalties apply and will not be used by the IRS for examination purposes. The mapping tool does not reflect the application of the law to a specific taxpayer’s situation, and the applicable Internal Revenue Code provisions ultimately control.

  5. F

    Fire and Gas Mapping Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 9, 2025
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    Archive Market Research (2025). Fire and Gas Mapping Software Report [Dataset]. https://www.archivemarketresearch.com/reports/fire-and-gas-mapping-software-55042
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 9, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Fire & Gas Mapping Software market is booming, projected to reach $216.1 million in 2025, with a strong CAGR driving growth in oil & gas, chemical, and pharmaceutical sectors. Learn about key trends, regional insights, and leading companies shaping this critical industry.

  6. 2020 Cartographic Boundary File (KML), Current Metropolitan/Micropolitan...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (KML), Current Metropolitan/Micropolitan Statistical Area for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-kml-current-metropolitan-micropolitan-statistical-area-for-unit
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The generalized boundaries in this file are based on those defined by OMB based on the 2010 Census, published in 2013, and updated in 2020.

  7. a

    Estuarine Benthic Habitat Mapping Areas (Iteration 2)

    • data-nconemap.opendata.arcgis.com
    • nconemap.gov
    • +2more
    Updated Jan 12, 2017
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    NC OneMap / State of North Carolina (2017). Estuarine Benthic Habitat Mapping Areas (Iteration 2) [Dataset]. https://data-nconemap.opendata.arcgis.com/datasets/27e18a217501419b9758e0c297905952
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    Dataset updated
    Jan 12, 2017
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    Description

    The need for extensive shellfish management in North Carolina has been recognized since the 1947 North Carolina General Assembly authorized the Division of Commercial Fisheries to conduct a rehabilitation program to restore the declining oyster (Crassostrea virginica) fishery. More recently, rising prices and increased demand for hard clams (Mercenaria mercenaria) and Bay Scallops have spurred the implementation of new management techniques and philosophies toward this expanding fishery. Although the Fisheries Management Section of the N.C. Division of Marine Fisheries has been actively managing these shellfish resources since 1964, it has done so with limited resource base information. The most complete and accurate shellfish bottom survey in North Carolina waters was done by Lt. Francis Winslow, U.S. Navy, in 1889 and was limited to the larger estuaries. This survey was targeted solely toward oysters and potential oyster producing grounds, and although it was quite extensive in Pamlico Sound, it has long since become outdated. Beginning in 1978, the Division of Marine Fisheries has undertaken a shellfish bottom survey of the commercial shellfish-producing waters in the coastal area. The purpose of the survey is to locate and map shellfish-producing areas and to delineate potentially productive benthic shellfish habitats. Gross determinations of shellfish concentrations within productive bottom types are to be determined through a stratified random sampling program. The information generated from this survey is expected to update resource base data to a level from which information can be drawn for making management decisions. A preliminary survey of the Newport River system was conducted from November 1980 to April 1981. Newport River was selected as a testing ground for survey techniques because of its close proximity to sampling headquarters, its diverse fisheries and environmental characteristics, and the pressing need for resource base data in such a dynamic system. From this survey it was deemed that the mapping techniques and survey methods proved acceptable, and in 1987 the estuarine waters were divided into areas based on shellfish habitat suitability criteria. In 1989 the Shellfish Resource Mapping Proposal was introduced, which led to the creation of the Shellfish Mapping Program in 1990 MSA I2 is the second iteration of Shellfish Bottom Mapping. I2 is developed based on newer shoreline created from high resolution imagery. There are changes in mapping process with use of updated transect grid size (6" * 6") and also use of mapping grade GPS for ground truthing purposes. Iteration 2 (I2) data should be used when it is geographically available.

  8. HUD-USPS ZIP Crosswalk Files

    • datalumos.org
    Updated Feb 13, 2025
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    United States Department of Housing and Urban Development (2025). HUD-USPS ZIP Crosswalk Files [Dataset]. http://doi.org/10.3886/E219325V1
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2024
    Area covered
    United States of America
    Description

    One of the many challenges that social science researchers and practitioners face is the difficulty of relating data between census tracts which are re-delineated with each decennial census. While some methods of harmonizing or crosswalking data between census tracts exist, to provide additional avenues for merging these data, PD&R has released the HUD-USPS Census Tract Crosswalk Files. These unique files are derived from the USPS Vacancy Data which are regularly updated by the USPS which makes them uniquely positioned to describe human settlements patterns between census tract delineations. These data use the locations of ZIP+4 centroids, an extremely granular level of geography, the number of addresses of various types (residential, business, other, and total), and do not rely on ancillary data to map where population or households might be located.There are twelve types of crosswalk files available for download. The first six crosswalk files are used to allocate ZIP codes to Census Bureau geographies such as census tracts, counties, county subdivisions, Core Based Statistical Areas (CBSAs), CBSA Divisions, and Congressional Districts. The last six are used to allocate from those same Census Bureau geographies to ZIP Codes. It is important to note that the relationship between the two types of crosswalk files is not perfectly inverse. That is to say, the ZIP to Tract crosswalk file cannot be used to allocate data from census tract geographies to ZIP codes. Instead, the Tract to ZIP crosswalk file must be used in that specific scenario.In addition to the crosswalk files, this dataset also includes screenshots of HUDs documentation and FAQ pages.

  9. n

    Mapping field program survey report summer 2002/2003

    • access.earthdata.nasa.gov
    • researchdata.edu.au
    • +3more
    cfm
    Updated Apr 26, 2017
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    (2017). Mapping field program survey report summer 2002/2003 [Dataset]. https://access.earthdata.nasa.gov/collections/C1214311404-AU_AADC
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    cfmAvailable download formats
    Dataset updated
    Apr 26, 2017
    Time period covered
    Dec 6, 2002 - Feb 10, 2003
    Area covered
    Description

    Taken from sections of the Report:

    The 2002-03 Mapping and Geographic Information Program (MAGIP) field season was undertaken from Davis Station. Nigel Peters from Sinclair Knight Merz undertook this season's fieldwork, the results of which are described in the following report.

    The main objective for this season was to provide photo control mapping in the Rauer Group, with photo control also required at Davis Station and Marine Plains. A number of other tasks were undertaken in support of various scientific and engineering programs.

    The tasks outlined in the surveyors brief are varied and numerous and have been included to provide the surveyor with a full and appropriate work program. The tasks are prioritised, usually with one or two major tasks with a number of minor tasks listed to be undertaken if the opportunity arises. This season's Survey Brief has been included in Appendix A with a summary of achievements listed in Appendix B.

    The following report covers the fieldwork undertaken by myself during the 2002/2003 ANARE Summer Field Season. Data collected in support of other scientific programs has been included in this report primarily as a record of work undertaken by the mapping program. These data have been supplied to the various scientists for inclusion in their studies.

    Sequence of Events

    4th November - 12th November 2002 - Pre-Departure Training

    • Field training for expeditioners at Bronte Park prior to the departure of V2.
    • Survey briefing at Antarctic Division by Mapping Officer, Mr Henk Brolsma

    20th November -5th December 2002 - Voyage 2

    • Final preparation and checking and replacement of damaged equipment
    • The Aurora Australis departed Hobart on the evening of 22nd November en route for Zhongshan, Davis and Mawson
    • The Aurora Australis arrived of Zhongshan on the 3rd December where Chinese personal were deployed
    • The Aurora Australis stopped approximately 1km off shore from Davis on the evening of the 4th December and arrived at Davis Station 5th December

    6th December - 10th December 2002 - Davis Station

    • Davis Resupply involving unloading and storage of food and equipment

    11th December - 31st December 2002 - Davis Station

    • Down loading Tide Gauge at Davis Station
    • GPS measurements AUS303
    • Coordination and levelling building Heights
    • Coordination of control points Rauer Group
    • Coordination of control points Davis

    1st January - 20th January 2003 - Davis Station

    • Coordination of control points Rauer Group
    • Antenna Farm levelling
    • Surveys at Brooks, Bandits and Watts huts

    21st January - 26th January 2003 - Law Base

    • Law Base Tide gauge downloading
    • GPS connections to Davis

    27th January - 9th February 2003 - Davis Station

    • Tarbuck Crag repeater survey
    • Skyline Survey Antenna Farm
    • Establish new Tide Pole at Deep Lake
    • Station duties loading equipment on to Ice Bird

    10th February - 22nd February 2003 - Voyage 5

    • Depart Davis
    • Arrive Hobart 22nd February

    Scope of Work

    The Antarctic Mapping Officer Mr Henk Brolsma provided the scope of works within the Surveyors Brief for the 2002- 2003 field survey program (Appendix A). The following is a summation of the survey requirements for this season.

    Rauer Group

    • Photo control are required throughout the Rauer Group at specified locations

    Davis

    • Down Load Tide gauge
    • Timed water level measurements
    • Levelling between tide gauge benchmarks, including GPS observation
    • Update station map and determine levels for all building floors, roof levels and the ground at the corner of every building
    • Photo control for orthophoto at Davis and at Heideman Bay

    Zhongshan

    • Download tide gauge
    • Timed water level measurements
    • Height connection from Law Base to tide gauge bench mark
    • Level between tide gauge benchmarks
    • Check existing marks established for tide gauge location

    Vestfold Hills

    • Deep Lake depth pole
    • Take pole readings
    • Repair depth pole
    • Lake levelling
    • Location of bench marks
  10. n

    BOREAS HYD-08 DEM Data over the NSA-MSA and SSA-MSA in UTM Projection

    • access.earthdata.nasa.gov
    • s.cnmilf.com
    • +6more
    zip
    Updated Nov 22, 2023
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    (2023). BOREAS HYD-08 DEM Data over the NSA-MSA and SSA-MSA in UTM Projection [Dataset]. http://doi.org/10.3334/ORNLDAAC/276
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    zipAvailable download formats
    Dataset updated
    Nov 22, 2023
    Time period covered
    Jan 1, 1970 - Dec 31, 1989
    Area covered
    Description

    These DEMs were produced from digitized contours at a cell resolution of 100 meters. Vector contours of the area were used as input to a software package that interpolates between contours to create a DEM representing the terrain surface. The vector contours had a contour interval of 25 feet. The data cover the BOREAS MSAs of the SSA and NSA and are given in a UTM map projection.

  11. A

    US Wildfire Activity Web Map

    • data.amerigeoss.org
    esri rest, html
    Updated Jul 31, 2019
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    AmeriGEO ArcGIS (2019). US Wildfire Activity Web Map [Dataset]. https://data.amerigeoss.org/fi/dataset/us-wildfire-activity-web-map
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    esri rest, htmlAvailable download formats
    Dataset updated
    Jul 31, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Area covered
    United States
    Description

    This map contains 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.

    Find out more about the Esri Disaster Response Program: www.esri.com/disaster

    About the Data :


    CAL FIRE Locations and Perimeters: Since CAL FIRE does not always send daily updates to the USGS GeoMAC we are utilizing their KML feed to keep this map up to date. Please note - these can conflict with information from the USGS Wildfire Activity feed below.


    Wildfire Activity: This displays large active fire incidents and situation reports that have been entered into the National Interagency Fire Center (NIFC) database by local emergency response teams. The Active Fire Perimeters layer is a product of Geospatial Multi-Agency Coordination (GeoMAC). Wildland fire perimeter data provided by the GeoMAC site are derived from data produced by GIS specialists working on each incident. Perimeter data displayed in and delivered by the GeoMAC application are not the final or official perimeters for any incident and are provided for informational purposes only. The final official perimeter should be obtained from the host unit, which can be determined by looking at the Unit Id for any specific fire. The host unit is responsible for producing official and final perimeters for all incidents in their jurisdiction. Data source: USGS Rocky Mountain Geographic Science Center Outgoing Data Sets, also see GeoMAC metadata for more information.


    Hot Spot: The MODIS thermal layer is created from the MODIS satellite detection system and represents hot spots that could be potential fire locations in the last 24 hour period at a horizontal resolution of 1 km and temporal resolution of 1 to 2 days. For information see our explanation in the description here. Data source: NASA EOSDIS website

    Wind Data (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.

    Wildfire Potential: This is a raster geospatial product produced by the USDA Forest Service, Fire Modeling Institute, intended to be used in analyses of wildfire risk or hazardous fuels prioritization at large landscapes (100s of square miles) up through regional or national scales.

    Red

  12. n

    Survey report 1985/86 summer season Division of National Mapping Author -...

    • access.earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    cfm
    Updated Nov 2, 2017
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    (2017). Survey report 1985/86 summer season Division of National Mapping Author - B.Murphy / DNM [Dataset]. https://access.earthdata.nasa.gov/collections/C1214313846-AU_AADC
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    cfmAvailable download formats
    Dataset updated
    Nov 2, 2017
    Time period covered
    Jan 13, 1986 - Mar 5, 1986
    Area covered
    Description

    Surveying and Mapping Program Bunger Hills 1985/1986 Summer Season

    Report by B. Murphy, Division of National Mapping, Canberra

    AIM The aim of the surveying and mapping program undertaken by the Division of National Mapping in the Bunger Hills during the 1986 summer field season was three-fold, namely:

    1) Aerial Photography 2) Landsat Imagery rectification 3) Glaciology

    Flight lines and photo centres representing the aerial photography flown are included in the aerial photography data available for download (see provided URL) and have Dataset_id = 287. The flight lines and photo centres are provided as shapefiles and Dataset_id is an attribute of the shapefiles.

  13. o

    Historic Redlining Scores for 2010 and 2020 US Census Tracts

    • openicpsr.org
    spss
    Updated May 25, 2021
    + more versions
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    Helen C.S. Meier; Bruce C. Mitchell (2021). Historic Redlining Scores for 2010 and 2020 US Census Tracts [Dataset]. http://doi.org/10.3886/E141121V1
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    spssAvailable download formats
    Dataset updated
    May 25, 2021
    Dataset provided by
    University of Michigan. Institute for Social Research. Survey Research Center
    National Community Reinvestment Coalition
    Authors
    Helen C.S. Meier; Bruce C. Mitchell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The Home Owners’ Loan Corporation (HOLC) was a U.S. federal agency that graded mortgage investment risk of neighborhoods across the U.S. between 1935 and 1940. HOLC residential security maps standardized neighborhood risk appraisal methods that included race and ethnicity, pioneering the institutional logic of residential “redlining.” The Mapping Inequality Project digitized the HOLC mortgage security risk maps from the 1930s. We overlaid the HOLC maps with 2010 and 2020 census tracts for 142 cities across the U.S. using ArcGIS and determined the proportion of HOLC residential security grades contained within the boundaries. We assigned a numerical value to each HOLC risk category as follows: 1 for “A” grade, 2 for “B” grade, 3 for “C” grade, and 4 for “D” grade. We calculated a historic redlining score from the summed proportion of HOLC residential security grades multiplied by a weighting factor based on area within each census tract. A higher score means greater redlining of the census tract. Continuous historic redlining score, assessing the degree of “redlining,” as well as national and CBSA-specific quartiles of redlining, can be linked to existing data sources by census tract identifier allowing for one form of structural racism in the housing market to be assessed with a variety of outcomes.

  14. Mirage2’s mapping methods map nearly all SwissProt sequences.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Alexander J. Nord; Travis J. Wheeler (2023). Mirage2’s mapping methods map nearly all SwissProt sequences. [Dataset]. http://doi.org/10.1371/journal.pone.0285225.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alexander J. Nord; Travis J. Wheeler
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mirage2’s mapping methods map nearly all SwissProt sequences.

  15. Land Cover, Baltimore County BES ID 485-

    • search.dataone.org
    • dataone.org
    Updated Jun 11, 2013
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    UVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J. (2013). Land Cover, Baltimore County BES ID 485- [Dataset]. https://search.dataone.org/view/knb-lter-bes.485.56
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    Dataset updated
    Jun 11, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    UVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J.
    Area covered
    Description

    High resolution land cover dataset for Baltimore County, MD. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at 8 square meters. The primary sources used to derive this land cover layer were color infrared aerial imagery acquired in 2007 as part of the National Agricultural Imagery Program (NAIP), a normalized Digital Surface Model (nDSM) derived from 2005 LiDAR data, LiDAR intensity data resulting from the 2005 acquisition, building footprints, road polygons, and water polygons.

    This land cover dataset is considered current as of August, 2007. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control. Over 16,000 corrections were made to the classification.

  16. n

    Larsemann Hills - Mapping from aerial photography captured February 1998

    • access.earthdata.nasa.gov
    • researchdata.edu.au
    • +2more
    cfm
    Updated May 7, 2018
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    (2018). Larsemann Hills - Mapping from aerial photography captured February 1998 [Dataset]. https://access.earthdata.nasa.gov/collections/C1214308594-AU_AADC
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    cfmAvailable download formats
    Dataset updated
    May 7, 2018
    Time period covered
    Dec 14, 2001 - Apr 22, 2003
    Area covered
    Description

    This mapping completed the Larsemann Hills photogrammetric mapping project. The project was commenced on 14 December 2001 and completed in April 2003. It includes the integration of newly mapped data with dataset gis136. (Larsemann Hills - Mapping from Landsat 7 imagery captured January 2000)

    A report on the project is available at the url given below.

  17. Mapping performance comparison between Mirage2 and the original Mirage...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Alexander J. Nord; Travis J. Wheeler (2023). Mapping performance comparison between Mirage2 and the original Mirage implementation. [Dataset]. http://doi.org/10.1371/journal.pone.0285225.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alexander J. Nord; Travis J. Wheeler
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mapping performance comparison between Mirage2 and the original Mirage implementation.

  18. n

    Survey report 2000/01 summer season Australian Antarctic Division Author -...

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    Updated Apr 26, 2017
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    (2017). Survey report 2000/01 summer season Australian Antarctic Division Author - D.Hurd / AAD [Dataset]. https://access.earthdata.nasa.gov/collections/C1214314001-AU_AADC
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    Dataset updated
    Apr 26, 2017
    Time period covered
    Nov 19, 2000 - Mar 11, 2001
    Area covered
    Description

    Taken from sections of the Report:

    Introduction and Project Outline

    The 2000/01 MAGIP field program for the Antarctic survey season has been scoped to continue and extend the objectives of the Mapping and GIS section of the Antarctic Division in support of the ANARE mapping program (ANAREMAGIP) as well as providing survey support for other ongoing ANARE science programs.

    The field component of the program in the Davis/ Mawson area for this season was to primarily establish ground control for existing 1:30000 photography in the Larsemann Hills. Additional tasks included updating of station summaries and the retrieval of data from the tide gauges at Law Base, Mawson and Davis Stations.

    The original Antarctic Division's Brief to Surveyors is included as Appendix A of this report.

    David Hurd from the Survey and Geographic Information Services Group of Hydro Tasmania and Arthur Moerke, a volunteer assistant, have been the field operatives throughout the season.

    The survey program consisted of the following major areas: * Photo control - Larsemann Hills * Completion of various tasks relating to the Davis tide gauge - Installation of second tide gauge at Davis - Downloading the existing tide gauge at Davis. - Timed water-level measurements. - Precise levelling connection of the tide gauge bench marks with the ARGN GPS site at Davis. * Completion of similar tasks described for the tide gauge at Davis Base with the gauge located at Law Base. * Lake levels within the Vestfold Hills. * Inspection and analysis of the reader board and pole at Deep Lake. * Providing GPS coordinates for all uncoordinated survey marks in the Vestfold Hills

    Additionally other unscoped inclusions in the program included * Update of station summary for Mawson station * Engineering surveys at Davis, Zhongshan, Progress 2 and Law Base. * Completion of similar tasks described for the tide gauge at Davis Base with the gauge located at Mawson station.

    Discussions with Mapping Officer Henk Brolsma prior to departure (26/9/00) agreed that the Auslig Surveyors working in the area this season would utilise their equipment to complete the height connections between the tide gauge benchmarks at Davis Station and AUS99 and to complete the level run as detailed in priority 2

    Similarly with the height connection to the Law Base GPS station NMS278 and AUS99 at Davis.

    The scope specified that GPS locations were to be processed relevant to the base station at Casey. It was assumed that this was an error and was intended to specify AUS99 at Davis.

    Later discussions with the Auslig surveyors also lead to the extension of their involvement to include the tide gauge benchmark at Law Base and the benchmark located on the peak overlooking Law Base, C1.

    Recommendations

    Several recommendations can be made from the experiences over the summer.

    It is understood that there is a differential GPS transmitter system at Davis, which is either not functioning or is turned off. During the stay at Davis we were advised that the expeditioners last winter spent days digging to locate a series of junction boxes that required repair. A GPS unit could be provided with accuracies capable of locating the assets in a very short time. The ability to locate these buried assets could have a significant effect on station life when considering the importance of quick repairs before anything freezes. A system for all station may be worthwhile as a safety measure.

    Alternatively, the establishment of a more visible control network possibly in combination with cane line locations and the basic training of one or two expeditioners in the use of a theodolite and tape, which could stay on station, may enable relatively rapid relocation of junction boxes etc.

    The tide gauge location was not possible at Mawson station because of the amount of algae/vegetation that accumulated beneath the ice. Also there was significant difficulty in accessing the gauge at Law Base because the ice had broken up but not out. It was fortunate that the weather conditions provided a pond which allowed for access. Assuming that a similar level of growth was present below the ice at Law Base prior to the break up then accessing the gauges in the future should possibly be based on a balance of growth conditions and the condition of the ice.

    It is recommended that all poles related to the tide gauge at Davis be repainted annually to ensure that they are readily available when boating allows.

    Considering the anticipated shutting down of the old tide gauge at Davis, the establishment of the new gauge may justify a higher priority listing. The installed mounting block for the new gauge has not been painted with anti-fouling paint and because of this will continually be subjected to weed growth. Perhaps it could be arranged so that the barge at Davis could be used to install the new gauge and a replacement mounting block in a single operation. Possibly it could be deployed adjacent to the unused, installed block.

    Some form of shore mounted interface with the tide gauges would save significant amounts of time and avoid many logistical issues in regard to boat time and organisation of drivers. Law Base does not have boats or drivers so any future access to the Law Base gauge will need to either arrange for the transportation of these resources or ensure that they are in the area before the ice breaks up.

    The timed water level measurements could be made more efficiently and over a longer period with the summer deployment and retrieval of some form of GPS buoy similar to what the university has been using. Alternatively the timed water level measurements using a video camera with timed exposures may be an option.

    A handheld GPS with some form of computer interface would be a great asset in the location of benchmarks in the ice-free areas. Having a list of coordinates that could be loaded into a lightweight unit would allow for rapid location of marks prior to deployment of heavy equipment or confirmation of mark identification for levelling. This should be seen as highly desirable.

    As mentioned in the 98/99 report the use of a digital camera for documentation purposes should be seen as essential in the antarctic environment.

    Logistically, it would seem that registration in the ASAC system ensures that expeditioners are not left off lists and that equipment and resources are more easily available. While this did not represent any immoveable barriers, some form of registration may make things easier.

    It seems that the levelling in the Vestfolds is given a low priority but is an ongoing project. The number of lakes levelled varies from season to season from around seventy to three or four. While the lakes are currently levelled on an opportunistic basis a suggestion may be to either place a higher priority on completing the extensive lake list or reduce the number of lakes to be levelled so that a continuous data set may be generated. I am under the impression that there has been a thesis written on the lake levels and maybe this could be used as a guide to which lakes should be levelled annually. Possible continuously levelling lakes throughout a season may also provide indications of movement throughout the season in addition to the annual snapshot. This could be particularly relevant in regard to accessing the deep lake reader board.

    The rock drill battery is incapable of holding enough charge to complete more than three drill holes. It may be worthwhile to either recondition the battery or replace it.

  19. n

    Davis Coastal Seabed Mapping Survey, Antarctica (GA4301/AAS2201/HI468) -...

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    • researchdata.edu.au
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    Updated Apr 26, 2017
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    (2017). Davis Coastal Seabed Mapping Survey, Antarctica (GA4301/AAS2201/HI468) - Interpreted Geomorphic Map [Dataset]. https://access.earthdata.nasa.gov/collections/C1297573134-AU_AADC
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    Dataset updated
    Apr 26, 2017
    Time period covered
    Jan 25, 2010 - Mar 29, 2010
    Area covered
    Description

    The Davis Coastal Seabed Mapping Survey, Antarctica (GA-4301 / AAS2201 / HI468) was conducted on the Australian Antarctic Division workboat Howard Burton during February-March 2010 as a component of Australian Antarctic Science (AAS) Project 2201 - Natural Variability and Human Induced Change on Antarctic Nearshore Marine Benthic Communities. The survey was undertaken as a collaboration between Geoscience Australia, the Australian Antarctic Division and the Australian Hydrographic Service (Royal Australian Navy). The survey acquired multibeam bathymetry and backscatter datasets from the nearshore region of the Vestfold Hills around Davis Station, Antarctica. These datasets are described by the metadata record with ID Davis_multibeam_grids. This dataset comprises an interpreted geomorphic map produced for the central survey area using multibeam bathymetry and backscatter grids and their derivatives (e.g. slope, contours). Six geomorphic units; basin, valley, embayment, pediment, bedrock outcrop and scarp were identified and mapped using definitions suitable for interpretation at the local scale (nominally 1:10 000). Polygons were created using a combination of automatic extraction and manual digitisation in ArcGIS. For further information on the geomorphic mapping methods and a description of each unit, please refer to OBrien P.E., Smith J., Stark J.S., Johnstone G., Riddle M., Franklin D. (2015) Submarine geomorphology and sea floor processes along the coast of Vestfold Hills, East Antarctica, from multibeam bathymetry and video data. Antarctic Science 27:566-586. This metadata record was created using information in Geoscience Australia's metadata record at http://www.ga.gov.au/metadata-gateway/metadata/record/89984/

  20. n

    Heard Island Coastal Orthophotos derived from Non-Metric Photography

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    Updated Mar 21, 2019
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    (2019). Heard Island Coastal Orthophotos derived from Non-Metric Photography [Dataset]. https://access.earthdata.nasa.gov/collections/C1214313562-AU_AADC
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    Dataset updated
    Mar 21, 2019
    Time period covered
    Jan 1, 1980 - Dec 31, 1987
    Area covered
    Description

    The orthophoto is a rectified georeferenced image of the Heard Island Coastal Area. Distortions due to relief and tilt displacement have been removed. Orthophotos were derived from non-metric Hasselblad and Linhof cameras (focal length unknown).

    The photos are between 17 MB and 193 MB each, and are in tiff format with associated world files.

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U.S. Department of Housing and Urban Development (2024). Metropolitan Area Look-Up [Dataset]. https://catalog.data.gov/dataset/metropolitan-area-look-up
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Metropolitan Area Look-Up

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Dataset updated
Mar 1, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Description

This system provides the user with a facility to select a state and county combination to determine if the selected county is part of an Office of Management and Budget (OMB) defined Core Based Statistical Area (CBSA). The system has been updated with OMB area definitions published for FY 2009.

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