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20 Titles Match Your Query
Showing 1 through 20 of 20
1. Elevation Derivatives for National Applications (EDNA) [USGS_EDNA]
The Elevation Derivatives for National Applications (EDNA) is a multi-layered database derived from a version of the National Elevation Dataset (NED), which has been hydrologically conditioned for ...


2. Global change, biodiversity and conservation in terrestrial and coastal ecosystems on Heard and McDonald Islands [ASAC_1180]
Metadata record for data from ASAC Project 1180 Global change, biodiversity and conservation in terrestrial and coastal ecosystems on Heard and McDonald Islands: statistical models for monitoring ...


3. A GIS dataset of Snow Petrel nests mapped in the Mawson region during the 2004-2005 season [SNPEMAWSON04-05]
Very little information is known about the distribution and abundance of Snow petrels at the regional and local scales. This dataset contains the locations of Snow petrel nests, mapped in the Mawson ...


4. A GIS dataset of Wilson's storm petrel nests mapped in the Mawson region during the 2004-2005 season [WISPMAWSON04-05]
Very little information is known about the distribution and abundance of Wilson's storm petrels at the regional and local scales. This dataset contains locations of Wilson's stoorm petrel nests, mapped ...


5. ASPeCt Sea Ice Data from the SIPEX Voyage of the Aurora Australis in 2007-2008 [SIPEX_ASPECT]   PARENT DIF
ASPeCt is an expert group on multi-disciplinary Antarctic sea ice zone research within the SCAR Physical Sciences program. Established in 1996, ASPeCt has the key objective of improving our understanding ...


6. ASPeCt ship-based observations during the SIPEX II voyage of the Aurora Australis, 2012 [SIPEX_II_ASPECT]   PARENT DIF
This dataset contains observations of ice conditions taken from the bridge of the RV Aurora Australis during SIPEX 2012, following the Scientific Committee on Antarctic Research/CliC Antarctic Sea ...


7. Sea Ice Observations in the ASPeCt format during the 2007 SIMBA cruise [SIMBA_sea_ice_observations]
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: United States Vessel: Nathaniel B. Palmer Dates in ice: 1 Sept ...


8. Windmill Islands 1:10000 Point Vegetation GIS Dataset [Wind_Veg]
Map of the abundance and distribution of terrestrial vegetation of the Windmill Islands. Point data represent regions of vegetation occurrence. The data are available in two formats. One is as a ...


9. A GIS dataset of bird nests mapped in the Windmill Islands by Frederique Olivier and Drew Lee during the 2002-2003 season [BIRDSCASEY0203]
Very little information is known about the distribution and abundance of snow petrels at the regional scale. This dataset contains locations of bird nests, mostly snow petrels, mapped in the Windmill ...


10. ASPeCt bridge-based sea-ice observations - 2007 to 2013 [ASPECT_2007_2013]
The Antarctic Sea ice Processes and Climate [ASPeCt] data sets submitted here have been collected systematically from the bridge of an icebreaker, while it transited through the pack ice. Quantifiable ...


11. Bird habitat surveys conducted during the 2004/05 summer and descriptive information of the terrestrial environment in the Mawson region [HABITATMAWSON04-05]
Very little information is available on the geomorphology of areas surrounding Australian Antarctic stations. This type of information is generally collected during geological surveys. This metadata ...


12. Bird habitat surveys conducted in the Windmill Islands during 2002/03 and descriptive information of the terrestrial Environment in the Windmill Islands [HABITATCASEY0203]
Very little information is available on the geomorphology of areas surrounding Australian Antarctic stations. This type of information is generally collected during geological surveys. This metadata ...


13. Macquarie Island Baseline Invertebrate Survey 1994 [KFDBAM_ANU]
Records from 69 sites, covering the whole island. Sites stratified by topography (2 classes: slopes or drainage lines), altitude (4 classes: 0-100 m, 100-200 m, 200-300 m, 300m+), vegetation type ...


14. Assessing UV-B induced DNA damage in Antarctic plants: is desiccation a compounding factor? [ASAC_1310]
Metadata record for data from ASAC Project 1310 See the link below for public details on this project. ---- Public Summary from Project ---- Increasing UV-radiation over Antarctica each spring may ...


15. High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA [ARCSS304]
This data set contains high-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area (156.15? W - 157.07? W, 71.15? N - 71.41? N) and Barrow B4 Quadrangle (156.29? ...


16. High-Resolution Radar Imagery, Digital Elevation Models, and Related GIS Layers for Barrow, Alaska, USA [ARCSS302]
This product set contains high-resolution Interferometric Synthetic Aperture Radar (IFSAR) imagery and geospatial data for the Barrow Peninsula (155.39 - 157.48? W, 70.86 - 71.47? N) and Barrow Triangle ...


17. Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA [ARCSS305]
This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15? W - 157.07? W, 71.15? N - 71.41? N) and the Barrow B4 Quadrangle ...


18. Reduced-Resolution Radar Imagery, Digital Elevation Models, and Related GIS Layers for Barrow, Alaska, USA [ARCSS303]
This product set contains reduced-resolution Interferometric Synthetic Aperture Radar (IFSAR) imagery and geospatial data for the Barrow Peninsula (155.39 - 157.48? W, 70.86 - 71.47? N), for use in ...


19. The Global Geographic Resources Analysis Support System (GRASS) 3 CD-ROM Data Set from Rutgers University [GRASS_RUTGERS]
The Cook College Remote Sensing Center of Rutgers University and the U.S. Army Corps of Engineers Construction Engineering Research Laboratory (USA/CERL) have signed a cooperative agreement ...


20. Land Cover Database for North Carolina [NCGIA_LCDB1]
This is an up to date landcover database for the entire state of NC based on 1996 Landsat TM imagery. We used Erdas Imagine 8.2 to develop a supervised classification of the area and an Anderson-type ...


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