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  1. Title: 1975 highway map, Genesee County, Michigan

    Contributors:

    Summary: Extent: 1 map Abstract: County road map. Notes: Includes indexes and distance chart. Text, illustrations, and map of Genesee County showing locations of parks on verso. Scale approximately 1:85,000

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  2. Title: Park Boundaries, Santa Clara County, California, 2015

    Contributors:

    Summary: This polygon dataset shows the boundaries of all existing parklands within Santa Clara County, California in 2015. Dataset includes spatial information and other qualitiative attributes.

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  3. Title: Points of Interest (Parks), Santa Clara County, California, 2015

    Contributors:

    Summary: This point dataset shows Points of Interest within lands operated by Santa Clara County Parks and Recreation in Santa Clara County, California. The dataset is complete but has not been reviewed.

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  4. Title: Traffic flow 1965, 24 hour average, Oakland County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Base map "Date of map May 1963, revised June 1966.". Scale 1:48,000. 1 = 4,000

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  5. Title: Oakland County, Michigan, traffic flow, 1957

    Contributors:

    Summary: Extent: 1 map Notes: Base map May, 1963; revised June, 1966. 1 in. = 25,000 vehicles. Scale 1:48,000

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  6. Title: Road map of Clinton County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Panel title: Clinton County, Michigan. On verso: location map and "Directory of Clinton County Roads.". Scale [1:126,720]. 1/2 in. = 1 mile

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  7. Title: 1963 road map, Livingston County, Michigan

    Contributors:

    Summary: Extent: color map Notes: Folded title: Road map Livingston County, Michigan. Index on verso. Scale approximately 1:110,000

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  8. Title: Oak Leaf Trail Milwaukee County, Wisconsin 2002

    Contributors:

    Summary: This line data layer represents the Oak Leaf Trail for Milwaukee County, Wisconsin in 2002. The dataset was originally published by Milwaukee County Parks in 2002.

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  9. Title: Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018

    Contributors:

    Summary: This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands. California. Department of Forestry and Fire Protection. (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. California. Department of Forestry and Fire Protection. Available at: https://purl.stanford.edu/nw945zv2996 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  10. Title: Parks, San Francisco, California, 2015

    Contributors:

    Summary: Parks within the extent of San Francisco; park boundaries have been updated to show 2015 features.

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  11. Title: Map of Boston and part of its suburbs : showing public recreation grounds, burial grounds and certain other public properties generally free from buildings

    Contributors:

    Summary: 88 x 69 centimeters Scale 1:15,840 City Maps

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  12. Title: Official map of Cheboygan County, Michigan

    Contributors:

    Summary: Extent: 1 color map Notes: Title from verso. Includes index and location map. Text and map of "Michigan's inland water route" on verso. Scale approximately 1:85,000

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  13. Title: Official map of Mason County, Michigan

    Contributors:

    Summary: Extent: 1 map Abstract: Road map. Notes: Scale determined from section lines. Includes index to roads. Aerial view of "Student Service Center" and pictorial map of "West Shore Community College" on verso. Scale approximately 1:110,000

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  14. Title: General highway map

    Contributors:

    Summary: Extent: 1 map Notes: Includes index, promotional text, color illustrations, inset of Beaver Island, and 1965 Beaver Island Boat Company schedule. Promotional text, color illustrations, and location map on verso. Scale approximately 1:125,000

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  15. Title: Visit the fabulous Keweenaw land of Michigan, gateway to Isle Royale National Park

    Contributors:

    Summary: Extent: 1 map Abstract: Road map with tourist features. Notes: Relief shown by spot heights and hachures. Title from panel. Panel text stylized as "gateway to... Isle Royale National Park.". Differs from other versions in photo selection on recto, and inclusion of table of fishing sites on verso. Recto includes images of a "commercial fisherman" and "clubhouse at Keweenaw Park," among several others. Date of publication from postal cancellation stamp. Includes "Inset, Isle Royale Nat'leaves Park, Keweenaw County" and color illustrations. Promotional text "Keweenaw, a glorious vacationland," table of fishing sites ("Where to fish in Keweenaw County,"), Isle Royale National Park ferry schedule, location map, and color illustrations on verso. Scale approximately 1:130,000

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  16. Title: Road map, Mackinac County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Shows township section grid. Indexed. Scale approximately 1:170,000

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  17. Title: Washtenaw County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Includes index to points of interest and ill. Text "Interesting drives from Ann Arbor," road index, list of golf courses, and illustrations on verso. Scale approximately 1:175,000

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  18. Title: St. Joseph County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Panel title. Promotional text, ancillary maps "City of Three Rivers, street systems" and "Map of Sturgis, Michigan," and illustrations on verso. Scale approximately 1:92,000

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  19. Title: New York City Land Cover, 2010

    Contributors:

    Summary: New York City Land Cover, 2010 is a high resolution landcover dataset for New York City. This is the 3ft version of the high-resolution land cover dataset for New York City. 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 3 square feet. The primary sources used to derive this land cover layer were the 2010 LiDAR and the 2008 4-band orthoimagery. Ancillary data sources included GIS data (city boundary, building footprints, water, parking lots, roads, railroads, railroad structures, ballfields) provided by New York City (all ancillary datasets except railroads); UVM Spatial Analysis Laboratory manually created railroad polygons from manual interpretation of 2008 4-band orthoimagery.

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  20. Title: Midland County - Midland, Michigan, official road map 1971

    Contributors:

    Summary: Extent: 2 maps on 1 sheet Abstract: County road map and city street map. Notes: Title from panel. Includes text, indexes to roads and streets, 3 ancillary maps, and illustrations. Ancillary maps: City of Coleman, Midland County, Michigan -- Village of Sanford, Midland County, Michigan -- Midland area. Scale 1:60,000. 1 in. = 5,000 ft Scale 1:21,600. 1 in. = 1,800 ft

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