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3,105 results for “Vegetation =”

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edi40/100

Vegetation and plant community composition for 150 extensive mature black spruce sites in interior Alaska

Floristic composition, species lists, and sorted Braun-Blanquet table for 150 extensive sites across interior Alaska from the Brooks Range to the Alaska Range, along the Taylor Hwy, Alaska Hwy, Richardson Hwy, Steese Highway, Elliot Hwy, and Dalton Hwy. The abundances of every vascular and nonvascular species was estimated visually using the Braun-Blanquet cover estimate scale (see Kent and Coker 1992 for a description of method, or T.Hollingsworth CJFR manuscript

openOpenDec 2005View details →
edi40/100

Alaska Statewide annual maximum Normalized Difference Vegetation Index (NDVI) values from 1982-2003 at 8km pixel size

Maximum annual NDVI values derived from twice monthly GIMMS-NDVI data, acquired for the period of 1982-2003 were downloaded fry the University of Maryland Global Land Cover Facility (http://www.landcover.org). These data were originally maximum NDVI values for each 64km2 pixel for each 15-day composite period. By selecting the maximum NDVI during each 15-day period, non-vegetation effects such as cloud or smoke contamination, and view geometry effects are reduced. The data had been calibrated by NASA scientists to correct for orbital drift and sensor degradation from a time series of five NOAA AVHRR sensors. The data were also processed by NASA scientists to correct for atmospheric effects resulting from two major volcanic eruptions: El Chichon in 1982, Mt. Pinatubo in 1991.

openOpenDec 2008View details →
edi40/100

Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: I - Trends in air temperature, precipitation, and cloudiness

These data contain estiamtes of changes in climate from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 3.

openOpenJul 2009View details →
edi40/100

Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: II - Change in net primary production (NPP)

This data has npp values from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 4.

openOpenJul 2009View details →
edi40/100

Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: III - Decadal net primary productivity (NPP) and heterotrophic respiration

These data contain NPP, NEP, and RH values from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. V This file contains data for Figure 5.

openOpenJul 2009View details →
edi40/100

Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: IV - Relationship between selected carbon pools and fluxes

These data contain NPP, NEP, RH, soil C, soil N, and ecosystem carbon changes from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 6.

openOpenJul 2009View details →
edi40/100

Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: V - Change in summer albedo by climate scenario

These data contain albedo estimates from northern AK based on a modeling study for the years 2003-2100. See Euskirchen et al., 2009 for more information. This file contains data for Figure 7.

openOpenJul 2009View details →
edi40/100

Spatial patterns of understory vegetation and soil in an Alaskan upland boreal forest fire chronosequence. Three sites located in Delta Junction Alaska. Soil sampled during summer 2007

In this study we used geostatistics to characterize the spatial heterogeneity of soil carbon and nitrogen pools, microbial respiration, microbial biomass, nitrogen mineralization, soil moisture, soil pH, depth of organic horizon and forest floor covers and understory vegetation abundances in three sites (1999, 1987 and 1920 wildfires) of a boreal forest chronosequence of Interior Alaska (near Delta Junction). Soil sampling and vegetation measurements occured during summer 2007.

openOpenApr 2010View details →
edi40/100

Eight Mile Lake Research Watershed, Thaw Gradient Extended sites: Vegetation cover and abundance.

This data set contains meausrements of vegetation cover and abundance (using a braun-branquet score) at 229 sites surrounding an eddy covariance tower. Eight Mile Lake Research Watershed, Thaw Gradient Extended sites.

openOpenAug 2008View details →
edi40/100

Eight Mile Lake Research Watershed, Thaw Gradient Extended sites: Vegetation data from land cover classes from an upland watershed undergoing permafrost thaw.

This data set contains meausrements ofpercent of ground cover (vegetation, water, bare soil) from sites throughout the wathershed within certain land cover types identified by an unsupervised landcover classification. The purpose was to see how land cover classes differed in soil properties and if we could detect diffences in classes undergoing permafrost thaw that results in thermokarst.

openOpenApr 2013View details →
edi40/100

Interior Alaska managed sites:vegetation community composition and ground cover measured one time in either summer 2012 or 2013

This dataset contains number of hits by different vegetation types and ground cover measured using a pin flag using the point intercept method.

openOpenSep 2017View details →
edi40/100

Plant survey of current vegetation of Sonoran desert plant community distribution in mountain parks in central Arizona-Phoenix, August 1999.

This study represents an effort to map the distribution of plant community types across the Central Arizona - Phoenix Long Term Ecological Research (CAP-LTER) site centered in metropolitan Phoenix using Landsat ETM data. Vegetation classification was carried out using field data collected from within the study area describing woody plant species. A system was devised which represented a compromise between providing floristic information and enabling maximum spectral discrimination between community types. Image classification used reference spectra derived from training sites in the field and was carried out on subsets defined by soil surface texture in order to control for the strong background soil signature inherent to arid regions. While groundtruthing revealed that vegetation on clayey soils was mapped to 91% accuracy, other sections produced maps with less accuracy. The results of this study demonstrate that image classification of desert vegetation using only Landsat ETM data is problematic and may not be practical without other supporting data, such as radar imaging.

openOpenJan 2020View details →
edi40/100

Plant Survey of Current Vegetation: MAP OF SONORAN DESERT PLANT COMMUNITY DISTRIBUTION IN THE CAPLTER STUDY AREA, PHOENIX, ARIZONA

This study represents an effort to map the distribution of plant community types across the Central Arizona - Phoenix Long Term Ecological Research (CAP-LTER) site centered in metropolitan Phoenix using Landsat ETM data. Vegetation classification was carried out using field data collected from within the study area describing woody plant species. A system was devised which represented a compromise between providing floristic information and enabling maximum spectral discrimination between community types. Image classification used reference spectra derived from training sites in the field and was carried out on subsets defined by soil surface texture in order to control for the strong background soil signature inherent to arid regions. While groundtruthing revealed that vegetation on clayey soils was mapped to 91% accuracy, other sections produced maps with less accuracy. The results of this study demonstrate that image classification of desert vegetation using only Landsat ETM data is problematic and may not be practical without other supporting data, such as radar imaging.This project attempts to produce a vegetation distribution map across undeveloped parcels of outlying desert wilderness, as well as remnant mountain parks throughout the city, contained within the Central Arizona Phoenix Long Term Ecological Research (CAPLTER) study area. This effort seeks to create the first successful classification map of Sonoran Desert vegetation derived from satellite imagery. The map would also be the first fine-scale map of plant community types in the Phoenix region. The depiction would allow for a calculation of the land area covered by each vegetation class, and which communities are exposed to development pressures. This map potentially provides a basis from which researchers can measure vegetative biomass distribution across the landscape and attempt to incorporate this component into ecological models of energy flows and biogeochemical cycling in the CAP-LTER site. I

openOpenJan 2020View details →
edi40/100

Vegetation surveys at CAP LTER ripirain-area bird-monitoring locations in the greater Phoenix metropolitan area (2013)

Over the past half-century, the greater Phoenix metropolitan area (GPMA) has been one of the fastest growing regions in the US, experiencing rapid urban expansion in addition to urban intensification. This backdrop provides an ideal setting to monitor biodiversity changes in response to urbanization, and the CAP LTER has been using a standardized point-count protocol to monitor the bird population throughout the GPMA and surrounding Sonoran desert region since 2000. A subset of these bird-monitoring sites are located in riparian areas, and additional riparian-area monitoring locations centered on the Salt River as it runs through the GPMA were added in 2013 and 2014. In May and June of 2013, the CAP LTER surveyed the vegetation in 6,400 square meter plots around all of these riparian-area sites as part of an analysis of change in bird abundance and community composition. This dataset catalogs the results of vegetation surveys at nineteen bird-monitoring sites in riparian areas of the GPMA.

openOpenOct 2016View details →
edi40/100

Bulk density, Soil:Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments

This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.

openCC0Feb 2018View details →
edi40/100

Soil pH: Effect of Burning Patterns on Vegetation in the Fish Lake Burn Compartments

This study examines the effects of long-term prescribed burning treatments on vegetation structure and composition, productivity, and nutrient cycling in upland oak savanna and woodland vegetation. The basis for the study is an ongoing, experimental prescribed burning program begun in 1964 at Cedar Creek, and a similar program operating since 1962 on the adjacent Helen Allison Savanna property (owned by The Nature Conservancy). These prescribed burning programs are designed to subject upland oak communities (and some old fields) to different burn frequencies and patterns of burning, with the ultimate objectives of 1) restoring and maintaining the historically important savanna and open woodland vegetation, and 2) providing information about the effects of different burning patterns on vegetation structure and composition. This study addresses the latter of these two purposes and expands on it by also investigating possible influences of fire on resource availability (nutrients, water, and light) and net primary productivity. This study represents a continuation and expansion of experiments 015 and 094.

openCC0Feb 2018View details →
edi40/100

Nitrogen transformation along an elevational and vegetative gradient from the Coweeta Hydrologic Laboratory from 1991 to 1995

Examination of N-transformation along elevation and vegetation gradient. These measurements are analysis of plant nitrogen availability and overall site productivity.

openCustomJan 2020View details →
edi40/100

Nitrogen transformation along an elevational and vegetative gradient from the Coweeta Hydrologic Laboratory from 1991 to 1995

Examination of N-transformation along elevation and vegetation gradient. These measurements are analysis of plant nitrogen availability and overall site productivity.

openCustomJan 2020View details →
edi40/100

Post-burn study of woody vegetation at Jacobs Branch East burn site, 1991-1992

Recent declines in the yellow pine component of pine-hardwood stands in the southern Appalachian Mountains has prompted managers to increase the use of fire as a silviculture tool. The fell and burn treatment is designed to remove competing vegetation (hardwoods and mountain laurel [Kalmia latifolia]) to ensure successful establishment of planted eastern white pine (Pinus strobus). Two years after burning, mountain laurel had accumulated more biomass than any other species and accounted for 43% of total biomass in year 1 and 20% in year 2. By year 4, mountain laurel ranked fifth (8.9% of total) in total biomass among hardwood species behind Allegheny serviceberry (Amalanchier arborea, 14.3%), chestnut oak (Quercus prinus, 13.7%), red maple (Acer rubrum, 12.4%), and scarlet oak (Q. coccinea, 9.3%). Across sites, woody species richness ranged from 19-24 in year 1 and 14-22 in year 4. Species richness varied across sites and years, and there were substantial changes in the distribution of biomass among species. The introduction of fire allowed the once dominant pitch pine (P. rigida) to successfully reestablish. On sites, pine accounted for 25% of pretreatment stem density, but <1% and 2% in the first and fourth growing seasons after burning, respectively. However; in year 1, pines had increased in density 20-fold compared to pretreatment levels, and by year 4, had maintained a 17-fold increase compared to pretreatment. The use of fire in forest management has been the subject of considerable criticism. In light of current public concerns over the loss of critical or unique habitats, fire may gain public support for use as a restoration tool.

openCustomJan 2020View details →
edi40/100

Post-burn study of woody vegetation at Jacobs Branch East, 1994

Recent declines in the yellow pine component of pine-hardwood stands in the southern Appalachian Mountains has prompted managers to increase the use of fire as a silviculture tool. The fell and burn treatment is designed to remove competing vegetation (hardwoods and mountain laurel [Kalmia latifolia]) to ensure successful establishment of planted eastern white pine (Pinus strobus). Two years after burning, mountain laurel had accumulated more biomass than any other species and accounted for 43% of total biomass in year 1 and 20% in year 2. By year 4, mountain laurel ranked fifth (8.9% of total) in total biomass among hardwood species behind Allegheny serviceberry (Amalanchier arborea, 14.3%), chestnut oak (Quercus prinus, 13.7%), red maple (Acer rubrum, 12.4%), and scarlet oak (Q. coccinea, 9.3%). Across sites, woody species richness ranged from 19-24 in year 1 and 14-22 in year 4. Species richness varied across sites and years, and there were substantial changes in the distribution of biomass among species. The introduction of fire allowed the once dominant pitch pine (P. rigida) to successfully reestablish. On sites, pine accounted for 25% of pretreatment stem density, but <1% and 2% in the first and fourth growing seasons after burning, respectively. However; in year 1, pines had increased in density 20-fold compared to pretreatment levels, and by year 4, had maintained a 17-fold increase compared to pretreatment. The use of fire in forest management has been the subject of considerable criticism. In light of current public concerns over the loss of critical or unique habitats, fire may gain public support for use as a restoration tool.

openCustomJan 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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