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2,739 results for “arizona”
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1995
This land cover classification map was created using Landsat TM data from the year 1995. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Institutional drivers of urban growth in the central Arizona-Phoenix area
The Institutional Drivers of Growth in Phoenix is currently ongoing. The purpose of the project is to understand how the complex mix of institutions, federal, state, and local, influence the pattern of growth in Phoenix. This year we focused on state trust land, specifically changing state trust land policy in Arizona and the west in general. We are approaching the state trust land sub-project by conducting qualitative research of policy archival documents. The assessment of state trust land referenda included a text and factor analysis of the policy dimensions. Additionally, the Institutional Drivers project has just begun to work in concert with �Socioecological Gradients and Land-Use Fragmentation: A Cross-Site Comparative Analysis.� The Institutional Drivers that we�ve gathered include annexation data, as well as preliminary assessment of growth management policy. In the American West, vast stocks of federally and state managed land and a relatively long history of self-governance and direct democracy unite to form heated public debates about use, management, and values. We investigate the nexus of these two threads of American politics, direct democracy and public land policies, through a qualitative study of ballot propositions on state trust land over the last century. A database of state trust land propositions was developed with forty-two propositions from fourteen states with over 90% from the West. Using word count as ideological placements we identified twenty-nine topics in the propositions. Text and principle component analysis reduced these to four dimensions of debate: 1) resource use procedures, 2) use of the fund, 3) management, and 4) investment. Additionally, we identified one issue that is receding in importance, resource extraction, while conservation and development concerns are emerging as new priorities. This study uses analysis of the policy language of ballot propositions to understand the political debates over state trust land over the p
A budget and spatial representation of Phosphorus in the central Arizona-Phoenix area
Phosphorus is a limited resource and a critical element in biogeochemistry. The raster datasets included here were created to show the spatial distribution of phosphorus stocks, accumulation, and throughput in the Central Arizona Phoenix Long Term Ecological Research study area. These rasters were created as the products of a phosphorus budget compiled within the CAP-LTER study area and are intended to be used by researchers studying biogeochemical cycles and sustainability. The raster of phosphorus stocks show the distribution of both abiotic and biotic phosphorus pools in the environment, which generally have long residence in the urban ecosystem. The accumulation and throughput raster show the likely areas where phosphorus will aggregate (inputs-outputs) over time and throughput shows areas with the highest inputs plus outputs of P. In addition to our final products we also include rasters used as variables to calculate the raw stocks, accumulation, and throughput rasters. For more information on how each layer was calculated please see: url="http://www.esajournals.org/doi/pdf/10.1890/11-0865.1" Ecological Applications, 22(2), 2012, pp. 705 to 721 Copyright 2012 by the Ecological Society of America Metson, G, R Hale, D Iwaniec, E Cook, J Corman, C Galletti, and D Childers, "Phosphorus in Phoenix: a budget and spatial representation of phosphorus in an urban ecosystem," Ecological Applications, 22(2), 2012, pp. 705 to 721 Phosphorus is a limited resource and a critical element in the biogeochemistry of ecosystems. These raster datasets were create. For more information on how each layer was calculated please see: "http://www.esajournals.org/doi/pdf/10.1890/11-0865.1" Ecological Applications, 22(2), 2012, pp. 705 to 721 Copyright 2012 by the Ecological Society of America. Metson, G, R Hale, D Iwaniec, E Cook, J Corman, C Galletti, and D Childers, "Phosphorus in Phoenix: a budget and spatial representation of phosphorus in an urban ecosystem," Ecological Application
Herpetofauna and Riparian Microhabitat of Urban and Wildland Reaches Along the Salt River, Arizona
Worldwide, riverine floodplains are among the most endangered landscapes. In response to anthropogenic impacts, riverine restoration projects are considerably increasing. However, there is a paucity of information on how riparian rehabilitation activities impact non-avian wildlife communities. I evaluated herpetofauna abundance, species richness, diversity (i.e., Shannon and Simpson indices), species-specific responses, and riparian microhabitat characteristics along three reaches (i.e., wildland, urban rehabilitated, and urban disturbed) of the Salt River, Arizona. The surrounding uplands of the two urbanized reaches were dominated by the built environment (i.e., Phoenix metropolitan area). I predicted that greater diversity of microhabitat and lower urbanization would promote herpetofauna abundance, richness, and diversity. In 2010, at each reach, I performed herpetofauna visual surveys five times along eight transects (n=24) spanning the riparian zone. I quantified twenty one microhabitat characteristics such as ground substrate, vegetative cover, woody debris, tree stem density, and plant species richness along each transect. Herpetofauna species richness was the greatest along the wildland reach, and the lowest along the urban disturbed reach. The wildland reach had the greatest diversity indices, and diversity indices of the two urban reaches were similar. Abundance of herpetofauna was approximately six times lower along the urban disturbed reach compared to the two other reaches, which had similar abundances. Principal Component Analysis (PCA) reduced microhabitat variables to five factors, and significant differences among reaches were detected. Vegetation structure complexity, vegetation species richness, as well as densities of Prosopis (mesquite), Salix (willow), Populus (cottonwood), and animal burrows had a positive correlation with at least one of the three herpetofauna community parameter quantified (i.e., herpetofauna abundance, species richness, and
Community gardening in disadvantaged neighborhoods in Phoenix, Arizona, March 2010: Aligning programs with perceptions
This study examined a struggling community gardening program in a low-income minority community in Phoenix, Arizona. The gardening program exists within a larger local food initiative organized by a nonprofit community development organization. The nonprofit's goals for the community gardening program are to provide residents with opportunities for education, extra income and socializing. In partnership with the nonprofit and local residents, we undertook a study to determine the potential for increasing the recruitment and retention of local gardeners in order to sustain a successful community gardening program. We used interviews and participant observation to create an exploratory survey that measured residents' perceptions of benefits and burdens associated with gardening. Results revealed that while respondents had a level of gardening interest and experience in the community, they also lacked awareness about the gardening program. Perceptions of the benefits and burdens of gardening varied among current gardeners, ex-gardeners, and people who had never gardened. The benefits of gardening suggested by many residents differed from the local food initiative goals. If community gardens and local food initiatives are to succeed, organizers should align their programs with the desires of neighborhood residents and educate them about a wide range of potential benefits of gardening to both individuals and neighborhoods.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1990
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1990
Land cover classification of Central Arizona-Phoenix using Landsat Thematic Mapper (TM) data - year 1998
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1998
Regional E-Atlas of the Greater Phoenix region, Arizona: GP2100 study area
These data provide a spatial representation of the extent of the GP2100 study area in central Arizona.
Regional E-Atlas of the Greater Phoenix region, Arizona: population change, period 1980-2000
These data provide a spatial representation of the population change 1980 - 2000. Map Shows the census tracts that have experienced a doubling of population between 1980 and 1990 and between 1990 and 2000 in the central Arizona-Phoenix area.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-04-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-04-30 (17:21:15.6250190Z) by Landsat 5, row 36, path 36. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992121XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:14:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-05-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-05-16 (17:21:06.4100940Z) by Landsat 5, row 36, path 36. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992137XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T21:00:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-06-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-06-01 (17:20:57.8790810Z) by Landsat 5, row 36, path 36. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992153XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:14:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-06-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-06-17 (17:20:44.4460000Z) by Landsat 5, row 36, path 36. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992169XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:15:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-07-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-07-03 (17:20:34.5690500Z) by Landsat 5, row 36, path 36. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992185XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:35:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-07-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-07-19 (17:20:22.7120940Z) by Landsat 5, row 36, path 36. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992201XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:15:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-08-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-08-04 (17:20:10.7150000Z) by Landsat 5, row 36, path 36. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992217XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:38:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-08-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-08-20 (17:19:54.0470500Z) by Landsat 5, row 36, path 36. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992233XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:18:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-09-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-09-05 (17:19:40.4430940Z) by Landsat 5, row 36, path 36. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992249XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:35:47Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-09-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-09-21 (17:19:24.2050440Z) by Landsat 5, row 36, path 36. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992265XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:19:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1992-10-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1992-10-07 (17:18:58.9550380Z) by Landsat 5, row 36, path 36. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50360361992281XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T20:18:09Z.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.