description: This database contains locations of day care centers for 39 states which include the states of AZ, CA, , NV, NY, HI. This is a work in progress and data for remaining states will be added as they become available. The dataset only includes center based day care locations (including schools and religious institutes) and does not include home and family based day cares. All the data was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database, data for Washington D.C., Puerto Rico, Delaware and Louisiana was obtained in a GIS format. Information on the source of data for each state is available in the database itself. After geocoding the exact spatial location of each point is being verified using high resolution imagery and ancillary dataset and points are being moved to rooftops wherever possible, this is an ongoing work and points which have been physically verified have been labeled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not being physically examined even though each of the points has been street geocoded as mentioned above. "Unverified" points for Puerto Rico, Washington DC and the states of Louisiana and Delaware may have better positional accuracy as data for these was obtained in GIS format. The "TYPE" attribute has not been populated yet, this will be populated once a common classification of day care for all states has been decided. The "O_TYPE" attribute contains the classification provided by individual states.; abstract: This database contains locations of day care centers for 39 states which include the states of AZ, CA, , NV, NY, HI. This is a work in progress and data for remaining states will be added as they become available. The dataset only includes center based day care locations (including schools and religious institutes) and does not include home and family based day cares. All the data was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database, data for Washington D.C., Puerto Rico, Delaware and Louisiana was obtained in a GIS format. Information on the source of data for each state is available in the database itself. After geocoding the exact spatial location of each point is being verified using high resolution imagery and ancillary dataset and points are being moved to rooftops wherever possible, this is an ongoing work and points which have been physically verified have been labeled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not being physically examined even though each of the points has been street geocoded as mentioned above. "Unverified" points for Puerto Rico, Washington DC and the states of Louisiana and Delaware may have better positional accuracy as data for these was obtained in GIS format. The "TYPE" attribute has not been populated yet, this will be populated once a common classification of day care for all states has been decided. The "O_TYPE" attribute contains the classification provided by individual states.
Oak Ridge Trails for CTC
GPS locations of nests boxes on HNHR/Oak Ridge 1983-2003 and Rana creek 2001-2003. Includes information on changes in location and cessation of monitoring, etc.
Oak Ridge Trails for CTC
Address points maintained by Guilford County GIS & Addressing Division. Does not include address points from Greensboro, High Point, Summerfield, Jamestown, Oak Ridge, Burlington ad any other address assigning jurisdictions within Guilford County
This data set contains GIS coverages constructed from measurements taken of logged areas in the Tapajos National Forest region of Para, Brazil in 1996 and 1998 (Asner et al., 2004). Coverages include log decks (patios), roads, skids trails, tree-fall locations, and block boundary. They are in ArcInfo SHAPE format (*.shp). The Tapajos data are in latitude/longitude using the WGS84 datum.
This dataset was created to establish a permanent boundary. Lands within this boundary are subject to the principles contained in the Oak Ridges Moraine Legislation. Boundary is complete as of October, 2001.
Additional Documentation
ORM Planning Area - Data Description (PDF) ORM Planning Area - Documentation (Word)
Status Completed: production of the data has been completed Maintenance and Update Frequency As needed: data is updated as deemed necessary
Contact Paul McKenzie, Geomatics Analyst, Paul.McKenzie@ontario.ca
The LandScan data set is a worldwide population database compiled on a 30" X 30" latitude/longitude grid. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on proximity to roads, slope, land cover, nighttime lights, and other data sets. LandScan has been developed as part of the Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk. The LandScan files are available via the internet in ESRI grid format by continent and for the world. You can access the data files after user registration through the data links. For an overview of the methods used to develop LandScan, please read the documentation and FAQs.
[Summary provided by Oak Ridge National Laboratory]
Population database compiled on a 30x30†lat/long grid, for the years: 1998, 2000 and 2007. within the Okavango Basin. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on proximity to roads, slope, land cover, nighttime lights, and other information.Source: Oak Ridge National Laboratory (ORNL). This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project†document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.
This dataset was created to provide land use information on the Oak Ridges Moraine and is the basis for Ontario Regulation 140/02.
The data was digitized at 1:10,000 or better using 0.5 metre air photos, MNR, DMTI, Upper and Lower-tier Official Plans and digital vector layers.
Additional Documentation
ORM Land Use Designation - Data Description (PDF) ORM Land Use Designation - Documentation (Word)
Status
Completed: production of the data has been completed
Maintenance and Update Frequency
As needed: data is updated as deemed necessary
Contact Paul McKenzie, Geomatics Analyst, Paul.McKenzie@ontario.ca
Raster files created by processing original vector data. Data include information of forest parameters for the BOREAS SSA MSA.
This data set contains GIS coverages constructed from measurements taken of logged areas in Juruena, Mato Grosso. Classes include roads, skids trails, tree crowns, tree-fall locations, and block boundary (Asner et al., 2004). Coverages are in ArcInfo SHAPE format (*.shp), UTM projection, using the WGS84 datum.
Dispersion of mistletoe bearing trees and the volume of mistletoe on each tree for RANA and Hastings/Oak Ridge.
This data set contains GIS coverage constructed from measurements taken of four logged areas in Cauaxi, Para, Brazil. Logged areas were selectively harvested either using conventional logging techniques or using reduced-impact logging (RIL) techniques (Pereira et al., 2002). Two areas were harvested with each technique in 1996 and two additional areas were harvested in 1998. Coverage includes log decks (patios), roads, skids trails, tree-fall locations, and logging area (block) boundary. These field surveys were conducted as part of an investigation of canopy damage following selective logging by two different techniques (Asner et al., 2004).
Coverage is in ArcInfo interchange format (*.e00). The geographic projection of the data is UTM zone 22, South WGS84 datum.
URL: https://web.corral.tacc.utexas.edu/nfiedata/pin2flood/texas/ The current National Water Model and its Flood Inundation Mapping (FIM) service use 10-meter Height Above Nearest Drainage (HAND) hydrological terrain. In the Pin2Flood project (https://gis.tdem.texas.gov/portal/apps/storymaps/stories/72f0ec81a7654da688518f486122abed), funded by the Texas Division of Emergency Management (TDEM), ORNL computed the 3-meter HAND and associated synthetic rating curves for the State of Texas, covering 287,535 river streams (1.5km/stream) in 209 HUC8s. This archived dataset includes the HAND raster and the synthetic rating curve table for each of the 209 HUC8s in Texas. It is hosted at the Texas Advanced Computing Center (TACC). This 3-meter HAND is derived from the Fathom 3-meter DEM and NHDPlus V21 using an accelerated version of NOAA's Flood Inundation Mapping version 3 (FIM3, https://github.com/NOAA-OWP/inundation-mapping/tree/dev-fim3)
The long-term Walker Branch Hydrology Monitoring project is intended to document changes in the water balance (precipitation inputs, stream discharge outputs) for the Walker Branch Watershed over time.
This data set contains three data files of precipitation amount (mm) for hourly, monthly, and annual measurement intervals for the years 1969 through 2011. The precipitation data files are periodically updated.
Five gauges were used for part of this study. Contact Natalie Griffiths for locations. Rain Gauge #1 - Rain Gauge #2 - Rain Gauge #3 - Rain Gauge #4 - Rain Gauge #5 -
GIS data set information - See Walker Branch Watershed Project website: http://www.esd.ornl.gov/programs/WBW/
Time Period: Start date: 1968 (See Curlin and Nelson 1968. ORNL/TM-2271) End date: ongoing
Temporal frequency: hourly, daily, annual
Sampling and Measurement Information: Collection Period, Instrument, Locations, Measurement Interval, Recorder Sensitivity
1969 to 1981: Fisher and Porter model 1548 punched-tape weighing recorder. Five ridgetop locations: Gauges #1, #2, #4, and #5 distributed around the edge of the watershed and #3 on the ridge separating the East and West Fork subcatchments. The data were collected at 5-min intervals. Recorder sensitivity was 2.5 mm.
1982 to 1998: 8-day weighing bucket strip chart recorder. Two ridgetop locations: Gauges #1 and #3. The data were recorded continuously on strip charts and read at hourly intervals. The strip charts were read on a digitizing board. Sensitivity of the recorder was 0.25 mm.
1999 to the present: Telog R-2100 electronic tipping bucket recorder. Two ridgetop locations: Gauges #1 and #3. The data were recorded at hourly intervals. Sensitivity of the recorder is 0.1 mm.
Publications:
Curlin, J. W., and D. J. Nelson. 1968. Walker Branch Watershed project: Objectives, facilities, and ecological characteristics. ORNL/TM-2271. Oak Ridge National Laboratory, Oak Ridge, TN.
Luxmoore, R. J. 1983. Water budget of an eastern deciduous forest stand. Soil Science Society of America Journal 47:785-791.
Luxmoore, R. J., and D. D. Huff. 1989. Water. Chapter 5, pages 164-196. In : D. W. Johnson and R. I. Van Hook, eds., Analysis of Biogeochemical Cycling Processes in Walker Branch Watershed. Springer-Verlag, New York.
Research on Walker Branch Watershed is funded by the U.S. Department of Energy, Office of Biological and Environmental Research
The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous states plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the dataset varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters.
© The National Waterway Network was created on behalf of the Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S.Environmental Protection Agency, and the Federal Railroad Administration. This layer is sourced from maps.bts.dot.gov.
The National Waterway Network (NTAD 2015) is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous states plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the dataset varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters.
© The National Waterway Network was created on behalf of the Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S.Environmental Protection Agency, and the Federal Railroad Administration.
Dispersal dynamics of the cooperatively breeding acorn woodpecker
GIS Layers Include Area; Areas of Natural and Scientific Interest; Areas of Aquifer Vulnerability; Coordinates; Townships; Indian Reserves; Land Use Designations; Lots; Niagara Escarpment Plan Boundary; Railways; Roads; RTE Species Occurrences Generalized; Sand Barrens Savannahs Tallgrass Prairies; Subwatersheds; Technical Information; Upper Tier Municipal Boundaries; Utility Lines; Water Body Areas and Lines; and Woodlands. Files can be found at the following location in the Map Library U:\geodata\Canada\ON\OGDE\Oak Ridges Moraine\Wetlands
Important Note: This item is in mature support as of April 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Plants play a central role in the carbon cycle by absorbing carbon dioxide from the atmosphere and incorporating it in the structure of the plant. Globally living plants contain 500 billion metric tons of carbon, more than 60 times the amount of carbon released to the atmosphere by humans each year. Understanding the distribution of the carbon stored in living plants, known as biomass, is key to estimating the effects of land use change on the climate.Dataset SummaryThis layer provides access to a 1-km cell-sized raster with data on the density of carbon stored in living plants in metric tons per hectare for the year 2000. It was published by the Oak Ridge National Laboratory Carbon Dioxide Information Analysis Center in 2008.The authors of these data request that they be cited as:Ruesch, Aaron, and Holly K. Gibbs. 2008. New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Available online from the Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.
description: This database contains locations of day care centers for 39 states which include the states of AZ, CA, , NV, NY, HI. This is a work in progress and data for remaining states will be added as they become available. The dataset only includes center based day care locations (including schools and religious institutes) and does not include home and family based day cares. All the data was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database, data for Washington D.C., Puerto Rico, Delaware and Louisiana was obtained in a GIS format. Information on the source of data for each state is available in the database itself. After geocoding the exact spatial location of each point is being verified using high resolution imagery and ancillary dataset and points are being moved to rooftops wherever possible, this is an ongoing work and points which have been physically verified have been labeled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not being physically examined even though each of the points has been street geocoded as mentioned above. "Unverified" points for Puerto Rico, Washington DC and the states of Louisiana and Delaware may have better positional accuracy as data for these was obtained in GIS format. The "TYPE" attribute has not been populated yet, this will be populated once a common classification of day care for all states has been decided. The "O_TYPE" attribute contains the classification provided by individual states.; abstract: This database contains locations of day care centers for 39 states which include the states of AZ, CA, , NV, NY, HI. This is a work in progress and data for remaining states will be added as they become available. The dataset only includes center based day care locations (including schools and religious institutes) and does not include home and family based day cares. All the data was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database, data for Washington D.C., Puerto Rico, Delaware and Louisiana was obtained in a GIS format. Information on the source of data for each state is available in the database itself. After geocoding the exact spatial location of each point is being verified using high resolution imagery and ancillary dataset and points are being moved to rooftops wherever possible, this is an ongoing work and points which have been physically verified have been labeled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not being physically examined even though each of the points has been street geocoded as mentioned above. "Unverified" points for Puerto Rico, Washington DC and the states of Louisiana and Delaware may have better positional accuracy as data for these was obtained in GIS format. The "TYPE" attribute has not been populated yet, this will be populated once a common classification of day care for all states has been decided. The "O_TYPE" attribute contains the classification provided by individual states.