10,000+ results returned
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Title: Ocean County, New Jersey 1938 insets
Contributors:- Not specified
- 1938
Summary: Verso of main map of Ocean County consists of insets of 20 municipalities.
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Title: Ocean County, New Jersey 1938 main
Contributors:- Not specified
- 1938
Summary: Main map of Ocean County shows county, township and boro boundary lines, highways, railroads and inland waterways along with various symbols designating fishing and game concentrations.
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Title: Gloucester County, New Jersey 1961.
Contributors:- Not specified
- 1961
Summary: Offical county map of Gloucester County, New Jersey. Inset of outline of county and state. Legend indicates limited access expressways, state and federal highways, county roads.
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Title: Gloucester County, New Jersey 1961 Tables
Contributors:- Not specified
- 1961
Summary: Verso of official county map of Gloucester County, New Jersey. This side shows a directory of existing and proposed roads.
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Title: Gloucester County, New Jersey 1955
Contributors:- Not specified
- 1955
Summary: Map of Gloucester County, New Jersey includes a table of county roads and designations of state and county highways. Color coded by township or borough.
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Title: Gloucester County, New Jersey 1935
Contributors:- Not specified
- 1935
Summary: Map of Gloucester County, New Jersey color coded by township or borough. Legend indicates total mileage for highways and roads through county breaking figures into the various road surface types including asphalt, concrete, gravel or tar.
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Title: Gogebic County official recreational map
Contributors:- Not specified
- 1957
Summary: Extent: 1 map Notes: Relief shown pictorially. Panel title. Includes location map, color illustrations, and text. Promotional text, illustrations, and indexes to lakes, fishing streams, and parks on verso. Scale approximately 1:144,000
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Title: Gogebic County official recreational map
Contributors:- Not specified
- 1957
Summary: Extent: 1 map Notes: Relief shown pictorially. Panel title. Includes location map, color illustrations, and text. Promotional text, illustrations, and indexes to lakes, fishing streams, and parks on verso. Scale approximately 1:144,000
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Title: Gogebic County official recreational map
Contributors:- Not specified
- 1957
Summary: Extent: 1 map Notes: Relief shown pictorially. Panel title. Includes location map, color illustrations, and text. Promotional text, illustrations, and indexes to lakes, fishing streams, and parks on verso. Scale approximately 1:144,000
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Title: Gogebic County official recreational map
Contributors:- Not specified
- 1957
Summary: Extent: 1 map Notes: Relief shown pictorially. Panel title. Includes location map, color illustrations, and text. Promotional text, illustrations, and indexes to lakes, fishing streams, and parks on verso.
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Title: Road map of Lenawee County, Michigan
Contributors:- Not specified
- 1952
Summary: Extent: 1 map Notes: Includes road index. Also shows trunk lines, primary county roads and McNitt black-top roads.
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Title: Imagined San Francisco
Contributors:- Not specified
- 2017
Summary: This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.
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Title: Official map of Chippewa County, Michigan
Contributors:- Not specified
- 1900
Summary: Extent: 1 map Notes: Includes illustrations, location map and inset map of Drummond Island.
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Title: Wayne County 1965 official highway map
Contributors:- Not specified
- 1965
Summary: Extent: 1 map Notes: Includes index to roads. Freeway map, text, and color illustrations on verso.
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Title: Kelp Canopy: Southern California, 2012
Contributors:- Polygon data
- 2013
Summary: This polygon shapefile is a thematic map representing mosaicked multi-spectral imagery targeting both exposed and submerged giant kelp beds along the Naval Air Systems Command (NAVAIR) Point Mugu Sea Range. The imagery used to create this classification was acquired at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. The image mosaic product used for the classification is a result of the resampling of the 0.3 meter data to 2 meter GSD. Surface kelp canopy and subsurface kelp classifications are seperate. The imagery was collected on October 14-16, November 13-14 and December 9-10, 2012. This dataset is complete at this time, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. This dataset is used to assess the extent of kelp resources along the Southern California coast (Point Loma to approximately 3.8 miles north of Point Conception) and includes the Channel Islands. Surface kelp canopy and subsurface kelp classifications are seperate. The data was collected and processed by Ocean Imaging under contract by the Naval Air Systems Command (NAVAIR). The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: (1)Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of imagery collection. Season variability may account for differences in surveys which may not reflect a change in the bed's extent, productivity, or harvest level. (2) Statisical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. (3) Survey methods may not be consistent. Some method of calibration between the methods should be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. (4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Image coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether imagery were acquired for an area of interest. California Department of Fish and Wildlife Marine Resources Region. (2013). Kelp Canopy: Southern California, 2012. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/xk635rd3987. DISCLAIMER The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: (1)Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of imagery collection. Season variability may account for differences in surveys which may not reflect a change in the bed's extent, productivity, or harvest level. (2) Statisical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. (3) Survey methods may not be consistent. Some method of calibration between the methods should be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. (4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Image coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether imagery were acquired for an area of interest. Please cite the Originators in any reference to the data. NAVAIR and the California Department of Fish and Wildlife must be credited with the distribution of these data. 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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Title: [Wilkes Exploring Expedition maps, 1841]
Contributors:- Nautical charts
- 1841
Summary: By the U.S. Ex. Ex., Charles Wilkes, Esqr., Commander U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Survey. Relief shown By hachures; depths shown By soundings. Binder's title. Sheets numbered 135 to 161. 38 maps on 27 sheets; 86 x 88 cm. or smaller.
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Title: Wave Power Average Annual Frequency of Anomalies, 2000-2013
Contributors:- Raster data
- 2016
Summary: Wave power is a major environmental forcing mechanism in Hawai‘i that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawai’i is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months.This layer represents the annual average frequency of anomalies of Wave power (kW/m) from 2000 – 2013, with values presented as fraction of a year. Data were obtained from the International Pacific Research Center, University of Hawai‘i at Manoa SWAN model (Simulating WAves Nearshore) following Li et al., (2016). Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). Wave Power Average Annual Frequency of Anomalies, 2000-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/pg167sm9036. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. 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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Title: Wave Power Average Annual Maximum Anomaly, 2000-2013
Contributors:- Raster data
- 2016
Summary: Wave power is a major environmental forcing mechanism in Hawai‘i that influences a number of marine ecosystem processes including coral reef community development, structure, and persistence. By driving mixing of the upper water column, wave forcing can also play a role in nutrient availability and ocean temperature reduction during warming events. Wave forcing in Hawai’i is highly seasonal, with winter months typically experiencing far greater wave power than that experienced during the summer months.This layer represents the annual average the maximum anomaly of Wave power (kW/m) from 2000 – 2013. Data were obtained from the International Pacific Research Center, University of Hawai‘i at Manoa SWAN model (Simulating WAves Nearshore) following Li et al., (2016). Li, N., Cheung, K.F., Stopa, J.E., Hsiao, F., Chen, Y.-L., Vega, L., and Cross, P. 2016. Thirty-four years of Hawaii wave hindcast from downscaling of climate forecast system reanalysis. Ocean Modelling 100:78-95. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). Wave Power Average Annual Maximum Anomaly, 2000-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/zm713ry9594. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. 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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Title: PAR Average Annual Frequency of Anomalies, 2002-2013
Contributors:- Raster data
- 2016
Summary: Solar irradiance is one of the most important factors influencing coral reefs. As a majority of their nutrients is obtained from symbiotic photosynthesizing organisms, reef-building corals need irradiance asa fundamental source of energy. Seasonally low irradiance at high latitudes may be linked to reduced growth rates in corals and may limit reef calcification to shallower depths than that observed at lower latitudes. However, high levels of irradiance can lead to light-induced damage, production of free radicals, and in combination with increased temperatures, can exacerbate coral bleaching. This layer represents the annual average number of anomalies of Irradiance from 2002–2013, with values presented as fraction of a year. Irradiance is actually PAR (photosynthetically available radiation), which is the spectrum of light that is important for photosynthesis. Monthly and 8-day, 4 km (0.0417 degree) spatial resolution data were obtained from the MODIS (moderate re solution imaging spectroradiometer) Aqua satellite from the NASA OceanColor Web (http://oceancolor.gs fc.nasa.gov/cms/). This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). PAR Average Annual Frequency of Anomalies, 2002-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/fw610zp8614. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. 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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Title: SST Maximum Monthly Climatological Mean, 1985-2013
Contributors:- Raster data
- 2016
Summary: Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalous warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents maximum of the monthly mean climatology of sea surface temperature (SST) (degrees Celsius) from 1985 – 2013.A continuous, 5km gap-filled weekly SST data set available from 1985 – 2013 was produced from a variety of sources. Please see Lineage Statement for more details. This layer was developed as part of a geospatial database of key anthropogenic pressures to coastal waters of the Main Hawaiian Islands for the Ocean Tipping Points project (http://oceantippingpoints.org/). Ocean tipping points occur when shifts in human use or environmental conditions result in large, and sometimes abrupt, impacts to marine ecosystems. The ability to predict and understand ocean tipping points can enhance ecosystem management, including critical coral reef management and policies to protect ecosystem services produced by coral reefs. The goal of the Ocean Tipping Points Hawaii case study was to gather, process and map spatial information on environmental and human-based drivers of coral reef ecosystem conditions. Ocean Tipping Points Project. (2016). SST Maximum Monthly Climatological Mean, 1985-2013. Ocean Tipping Points Project. Available at: http://purl.stanford.edu/sm309xd8108. http://purl.stanford.edu/tk850tr7620. Please contact the Ocean Tipping Points project in advance of applying these data sets to project work so the PI can track and communicate data uses and ensure no duplicate efforts are underway. When applying these data for publication, please reference and cite the complete journal article, Wedding et al. 2017. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.