Zooplankton biomass point data that has been mapped using MapInfo along 110ºE, Indian Ocean using a standard net (samples from return-trips along the 110ºE latitude line were shifted to 105ºE). These MapInfo layers have been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

This is a coverage shapefile of geologic basin boundaries which are used by EPA's Greenhouse Gas Reporting Program. For onshore production, the "facility" includes all emissions associated with wells owned or operated by a single company in a specific hydrocarbon producing basin (as defined by the geologic provinces published by the American Association of Petroleum Geologists). This layer is limited to the contiguous United States.

The Northern Region Circulation (MECO) Model was developed as part of the FRDC Surrogates 1 project. It covers the region from Joseph Bonaparte Gulf to Torres Strait with a fixed horizontal resolution of 0.05 degrees. Outputs included sea level, currents, bottom stress, and other physical parameters. For this dataset the monthly mean non tidal currents for the Northern Marine Region were used to create GIS map layers.

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The Geoscience Australia …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. The Geoscience Australia Onshore Seismic GIS layer is layer showing the locations of Onshore Seismic Survyes carried out by Geoscience Australia and it's predecessors, Australian Geological Survey Organisation (AGSO) and the Bureau of Mineral Resources (BMR). The layer contains URL link to free downloadable data. The data includes processed data in SEGY format. The metadata includes acquisition reports, processing reports, processed images and so on. The data acquisition was carried out in Australia from 1949 to present by Geoscience Australia and various partners such as State and Geologcial Survey Organisations. The set of reflection and refraction data comprises over 12,000 km of coverage, and provides an insight into the variations in crustal architecture in the varied geological domains. Dataset History First published 2014. Will be updated as latest data becomes available. http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_f229d5de-356c-573c-e044-00144fdd4fa6/Geoscience+Australia+Onshore+Seismic+GIS+layer The data acquisition was carried out in Australia from 1949 to present by Geoscience Australia and various partners such as State and Geologcial Survey Organisations. Dataset Citation Geoscience Australia (2014) Geoscience Australia onshore seismic GIS layer. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/d83e995a-41ac-41a7-806b-87b09de98065.

The data in this feature layer is pulled from a PG&E REST service.

Temperature, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the seafloor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

ESRI grids showing sea salinity, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to …Show full descriptionESRI grids showing sea salinity, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the sea floor. However, for properties which do not change rapidly near the sea floor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=815 Webpage with information and links to data files for download

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429).
The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available

Set of twelve grids showing mean sea surface temperature for each month from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration …Show full descriptionSet of twelve grids showing mean sea surface temperature for each month from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration (NOAA) satellites. These grids have been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

Dallas City Limits GIS Layer

School Districts dataset current as of 2010. GIS layer on our website.

description: Legislative Districts dataset current as of 2011. GIS layer on our Website.; abstract: Legislative Districts dataset current as of 2011. GIS layer on our Website.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429).
The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. No Abstract Available

This dataset holds a vector layer for the road network in Lamto research station in 1963. To produce the dataset we digitized the roads from the unpublished map “Carte physionomique des faciès savanians de Lamto" drawn by de la Souchère; P. and Badarello, I. in 1969 and the mosaic of aerial photographs acquired by IGN in 1963. Most of the footpaths no longer exist in 2021. The attributes of the shapefile follow the OpenStreetMap (OMS) data schema.

GIS grid showing sea surface temperature total means from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration (NOAA) satellites. This …Show full descriptionGIS grid showing sea surface temperature total means from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration (NOAA) satellites. This grid has been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

GIS grid showing sea surface temperature total means from data collected by CSIRO Remote Sensing Division from the USA's National Oceanographic and Atmospheric Administration (NOAA) satellites. This grid has been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project. Variations in onscreen colour representation or printed reproduction may affect perception of the contained data.

description: Election Districts and Precincts dataset current as of 2010. GIS layer on our website.; abstract: Election Districts and Precincts dataset current as of 2010. GIS layer on our website.

ESRI grid showing homogeneity, heterogeneity, eddie activity and frontal activity. This grid has been produced by CSIRO for the National Oceans Office, as part of an ongoing commitment to natural resource planning and management through the 'National Marine Bioregionalisation' project.

An ArcGIS shapefile layer showing the extent of all extant and relic Adelie penguin (Pygoscelis adeliae) colonies at Whitney Point, Windmill Islands, February 2006. The field 'Status' describes each polygon as extant, relic or maximum. Extant refers to the area used by breeding birds in the summer 2005/06. Maximum refers to the historic maximal extent of the colony. Relic refers to any colony which was not occupied by any breeding pairs during 2005/06. Positional accuracy is approx. 1-2 m, after accounting for dGPS errors and errors in identification of the boundaries of colonies. Mapping was conducted after the end of the breeding season, so boundaries were identified as the extent of nest pebbles/fresh faeces, and it was considered that they could be reliably identified to within 0.5m. Data were acquired using a Trimble Pro XH differential GPS. This work was completed as part of ASAC project 1219 (ASAC_1219). Also for this project, three aerial photographs of Whitney point showing the adelie penguin colonies and taken on 17 December 1990 were georeferenced. These aerial photographs are film ANTC1219 run 54 frames 21 to 23. Work on this project also utilised a Digital Elevation Model (DEM) created for Shirley Island. See the metadata record, 'A digital elevation model (DEM) and orthophoto of the Whitney Point area of the Windmill Islands, Antarctica' for more information (linked below). Since the 2005/06 summer was a low-ice year the opportunity was also taken to survey with differential GPS a section of coastline about 230 metres long east of Whitney Point on Clark Peninsula. This section of coastline was ice free and accessible. The data was collected with differential GPS on 10 February 2006.