10,000+ results returned
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Title: United States Border Crossings, 2013
Contributors:- Point data
- 2011
- Not owned by MIT (Owned by Columbia)
Summary: Border Crossing Ports are points of entry for land modes along the U.S. - Canadian and U.S.- Mexcian borders. The ports of entry are located in 15 states along the U.S. borders. The nominal scale of the data set is 1:1000,000 with a maximal positional error of +- 10 meters.
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Title: Land-Based Border Crossings: Canada, Mexico and United States, 2011
Contributors:- Point data
- 2014
- Not owned by MIT (Owned by Stanford)
- Beningo, Steve
- Liu, Zhi
- United States. Bureau of Transportation Statistics
- United States. Bureau of Customs and Border Protection
Summary: This point shapefile depicts points of entry for land modes along the United States - Canada border and the United States - Mexico border. The ports of entry are located in fifteen states along the United States borders. The nominal scale of the data set is 1:1,000,000 with a maximal positional error of +/- 10 meters. This data is created and maintained by United States Customs and Border Protection and was spatially enhanced by the Bureau of Transportation Statistics. This layer is part of the 2014 National Transportation Atlas Database. The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure, and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. This dataset ws published o display ports of entry and associated data within an online mapping application. United States. Department of Transportation. Research and Innovative Technology Administration. (2014). Land-Based Border Crossings: Canada, Mexico and United States, 2011. National Transportation Atlas Database 2014. Available at: http://purl.stanford.edu/yv333xj1559. Used for the interface of Border Crossing/Entry Data: http://www.bts.gov/programs/international/transborder/TBDR_BC/TBDR_BC_Index.html. This data is created and maintained by the Customs and Border Protection (CBP), and spatially enhanced by BTS. The CBP also designated the port codes, names, and attributes. For any questions regarding the CBP data, please contact (877) CBP-5511.
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Title: EPA 2014 Toxics Release Inventory - Oregon
Contributors:- Point data
- 2014
- Not owned by MIT (Owned by Lewis and Clark)
Summary: The Toxics Release Inventory (TRI) tracks the management of certain toxic chemicals that may pose a threat to human health and the environment. Certain industrial facilities in the U.S. must report annually how much of each chemical is recycled, combusted for energy recovery, treated for destruction, and disposed of or otherwise released on- and off-site. This information is collectively referred to as production-related waste managed. This shapefile represent releases of TRI-covered chemicals to the environment in Oregon. A "release" of a chemical means that it is emitted to the air or water, placed in some type of land disposal, or transferred off-site for disposal or release.
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Title: USA (Water Bodies, 2005)
Contributors:- Polygon data
- 2005
- MIT authentication required
Summary: U.S. Water Bodies represents the major lakes, reservoirs, large rivers, lagoons, and estuaries in the United States.
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Title: Bioregions (INACC Regions)
Contributors:- Polygon data
- 2004
- Not owned by MIT (Owned by UC Berkeley Library)
Summary: California regions developed by the Inter-agency Natural Areas Coordinating Committee (INACC) were digitized from a 1:1,200,000 California Department of Fish and Game paper map. The 2004 update utilizes the 1:24,000-scale county boundaries, coastline and state boundary from the CMCC Framework data layer CNTY24K97_1. The North and South Sierra bioregions have also been collapsed to form one region,Sierra.
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Title: Farmland Preservation Zoning, Wisconsin 2019
Contributors:- Polygon data
- 2019
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: [This feature class contains the location of certified farmland preservation districts as identified in farmland preservation ordinances with both texts and maps that have been certified (or recertified) by DATCP Land and Water Resource Managment (LWRM) Bureau since July 1, 2009. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the farmland preservation plan certification process. This feature class was last updated February 2019. ]
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Title: Farmland Preservation Plan, Wisconsin 2019
Contributors:- Polygon data
- 2019
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: [This feature class contains the location of farmland preservation areas as designated in farmland preservation plans that have been certified by DATCP since July 1, 2009. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the farmland preservation plan certification process. This feature class was last updated January 2019.]
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Title: Agricultural Enterprise Areas, Wisconsin 2019
Contributors:- Polygon data
- 2019
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: [This feature class contains the location of 'Agricultural Enterprise Areas' (AEAs) in Wisconsin in 2019. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the AEA petition process. The AEA petition process occurs annually, so this feature class is updated annually as new AEAs are approved. (URLs updated July 2016)].
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Title: Land and Water Management, Wisconsin 2017
Contributors:- Polygon data
- 2017
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset includes the following feature classes: ATRAZINE_PA, ATRAZINE_PA_LWRV, CREP_LOC_2016, LIVESITE_CNTY_ORD, LIVESITE_CVT_ORD, STATEWIDE_AEA, STATEWIDE_FP_PLAN, STATEWIDE_FP_ZON, WI_DRAINAGE_DIST.
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Title: Food Safety, Wisconsin 2016
Contributors:- Point data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset contains the following feature classes: 'DATCP_BULK_MILK_TANK_OWN', 'DATCP_DAIRY_PLANT', 'DATCP_FOOD_PROCESSING', 'DATCP_FOOD_WAREHOUSE', 'DATCP_MEAT_PLANT', 'DATCP_MILK_PRODUCER', 'DATCP_RETAIL_FOOD_EST', 'DATCP_RETAIL_FOOD_EST_AGT'. It is a feature dataset with the geodatabase, DATCP_FOOD_SAFETY. The date of all feature classes within this dataset is 1/6/16.
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Title: Miscellaneous DATCP Data, Wisconsin 2016
Contributors:- Point data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset contains the following feature classes: DATCP_GRAIN_WAREHOUSE, DATCP_PUBLIC_WAREHOUSE, ENERGY_BIODIESEL, ENERGY_COMMERCIAL_WIND_TURBINE, ENERGY_ETHANOL, FAIRGRND, NOP_ORGANIC_BUSI, NOP_ORGANIC_FARM, WI_CNTY_SEAT
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Title: Animal Health, Wisconsin 2016
Contributors:- Point data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset contains the following feature classes: 'DATCP_ANIMAL_DEALER', 'DATCP_ANIMAL_MARKET', 'DATCP_ANIMAL_TRUCKER', 'DATCP_AQUACULTURE', 'DATCP_DEER_FARM', 'DATCP_IMPORT_FEEDLOT'. It is feature dataset within the geodatabase 'DATCP_Animal_Health.gdb'. The date of all feature classes within this dataset is 1/6/16.
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Title: Land and Water Management, Wisconsin 2016
Contributors:- Polygon data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset includes the following feature classes: ATRAZINE_PA_1, ATRAZINE_PA_LWRV_1, CREP_LOC_2013_1, LIVESITE_CNTY_ORD_1, LIVESITE_CVT_ORD_1, STATEWIDE_AEA_1, STATEWIDE_FP_AGRMNT_1, STATEWIDE_FP_PLAN, STATEWIDE_FP_ZON, WI_DRAINAGE_DIST_1.
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Title: Nurseries, Wisconsin 2016
Contributors:- Point data
- 2016
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature class includes the locations and general attributes of active nursery businesses - specifically active nursery fields - licensed by the Wisconsin Department of Agriculture, Trade and Consumer Protection (DATCP) as of 01/06/2016(i.e., date the list of licensed nursery businesses was last downloaded from the agency 'AMANDA' licensing database). Only businesses that operate (e.g., headquarters, facility, plant) on a property in Wisconsin are included.Point locations were generated by Centrus Desktop address geocoding software or collected by field staff using recreational grade GPS. 'Active' NU licenses may include licenses with the following status: pending, active, conditional, renewal, ready to issue, pending-renewal, pending-financial, and pending-premises.
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Title: Proposed NM590 Restrictions, Wisconsin 2015
Contributors:- Polygon data
- 2015
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset contains the following feature classes: NM_590_DEPTH_BEDROCK_LT5FT, NM_590_SHALLOW_SILURIAN, NM_590_WELL_BUFF_1000FT, NM_590_WELL_COMPENSATION. It is a feature dataset within the geodatabase DATCP_NM_590_PROPOSED_RESTRICT.
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Title: Nutrient Management, Wisconsin 2015
Contributors:- Polygon data
- 2015
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset contains the following feature classes: NM_590_FALL_RESTRICT_WEB, NM_590_SOIL, NM_590_SWQMA_1000FT, NM_590_SWQMA_300FT, NM_590_WINT_RESTRICT_WEB, NM_CAFO_FALL_RESTRICT_WEB, NM_CAFO_SWQMA_300FT, NM_TRAIN_TERR. It is a feature dataset within the geodatabase, DATCP_NUTRIENT_MGMT.
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Title: NRCS Soils, Wisconsin 2014
Contributors:- Polygon data
- 2015
- Not owned by MIT (Owned by University of Wisconsin-Madison)
Summary: This feature dataset includes the following feature classes: NRCS_SOIL, NRCS_SOIL_HYDRIC, NRCS_SOIL_HYDROLOGIC_GROUP, NRCS_SOIL_PI, NRCS_SOIL_PRIMEFARMLAND, NRCS_SOIL_PRIMEFARMLAND_ALLPRIME. It is a feature dataset within the geodatabase, NRCS_SOIL_021814_FGDB_v93.
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Title: Global GIS : Global Climate Database : Temperature
Contributors:- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- International Institute of Applied Systems Analyses
- Leemans, Rik
- Cramer, Wolfgang P.
- Rijksinstituut voor Volksgezondheid en Milieuhygi???ne (Netherlands)
- National Institute of Public Health and Environmental Protection (Netherlands)
Summary: This datalayer is a point shapefile that shows long-term (1931-1960) mean monthly values for temperatures (in degrees Celsius) on a global terrestrial grid at 0.5 degree longitude/latitude spatial resolution. The dataset is a derived portion of the Global Climate Database (May 15, 1996) which is an updated version of the IIASA database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid (1991), first produced by Rik Leemans and Wolfgang Cramer, and published by the International Institute of Applied Systems Analyses and also distributed by the National Institute of Public Health and Environmental Protection (Netherlands). This version of the datalayer appears as part of the USGS Global GIS : global coverage database (2003). The USGS Global GIS database contains a wealth of USGS and other public domain data, including global coverages of elevation, landcover, seismicity, and resources of minerals and energy at a nominal scale of 1:1 million. The U.S. Geological Survey (USGS) and The American Geological Institute (AGI) announced a cooperative agreement that will focus on making the USGS Global Geographic Information System (GIS) database readily available to educators and the general public in the form of a DVD based world atlas.
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Title: Global GIS : Global Climate Database : Actual evapotranspiration
Contributors:- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- International Institute of Applied Systems Analyses
- Leemans, Rik
- Cramer, Wolfgang P.
- Rijksinstituut voor Volksgezondheid en Milieuhygi???ne (Netherlands)
- National Institute of Public Health and Environmental Protection (Netherlands)
Summary: This datalayer is a point shapefile that shows long-term (1931-1960) mean monthly values for actual evapotranspiration (AE) (in millimeters) on a global terrestrial grid at 0.5 degree longitude/latitude spatial resolution. The dataset is a derived portion of the Global Climate Database (May 15, 1996) which is an updated version of the IIASA database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid (1991), first produced by Rik Leemans and Wolfgang Cramer, and published by the International Institute of Applied Systems Analyses and also distributed by the National Institute of Public Health and Environmental Protection (Netherlands). This version of the datalayer appears as part of the USGS Global GIS : global coverage database (2003). The evapotranspiration scheme used is developed by Prentice et al. Its reference is: Prentice, I.C., Sykes, M. Cramer, W., 1993. A simulation model for the transient effects of climate change on forest landscapes. Ecological Modelling, 65: 51-70. The USGS Global GIS database contains a wealth of USGS and other public domain data, including global coverages of elevation, landcover, seismicity, and resources of minerals and energy at a nominal scale of 1:1 million. The U.S. Geological Survey (USGS) and The American Geological Institute (AGI) announced a cooperative agreement that will focus on making the USGS Global Geographic Information System (GIS) database readily available to educators and the general public in the form of a DVD based world atlas.
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Title: Global GIS : Global Climate Database : Cloud coverage
Contributors:- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- International Institute of Applied Systems Analyses
- Leemans, Rik
- Cramer, Wolfgang P.
- Rijksinstituut voor Volksgezondheid en Milieuhygi???ne (Netherlands)
- National Institute of Public Health and Environmental Protection (Netherlands)
Summary: This datalayer is a point shapefile that shows long-term (1931-1960) mean monthly values for cloud cover on a global terrestrial grid at 0.5 degree longitude/latitude spatial resolution. The dataset is a derived portion of the Global Climate Database (May 15, 1996) which is an updated version of the IIASA database for mean monthly values of temperature, precipitation and cloudiness on a global terrestrial grid (1991), first produced by Rik Leemans and Wolfgang Cramer, and published by the International Institute of Applied Systems Analyses and also distributed by the National Institute of Public Health and Environmental Protection (Netherlands). This version of the datalayer appears as part of the USGS Global GIS : global coverage database (2003). Cloud Coverage or Cloudiness is defined as the actual number of bright sunshine hours over the potential number, and is thus expressed as a percentage figure. A high percentage means more sunshine and fewer clouds. The USGS Global GIS database contains a wealth of USGS and other public domain data, including global coverages of elevation, landcover, seismicity, and resources of minerals and energy at a nominal scale of 1:1 million. The U.S. Geological Survey (USGS) and The American Geological Institute (AGI) announced a cooperative agreement that will focus on making the USGS Global Geographic Information System (GIS) database readily available to educators and the general public in the form of a DVD based world atlas.