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1,977 results for “2007”
Yellowstone Upper Basin Geyser binary eruption data (April 2007- October 2008; revised)
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Future of Oak Forests experiment - DBH of trees in Black Rock Forest, New York, USA, 2007.
This data set contains the measurement of diameter at breast height (1.4 meters above ground) (dbh) for individual non-oak and oak trees at the Future of Oak Forests (FOF) experiment in Black Rock Forest (Cornwall, NY) during July and August of 2007. The North Slope site contains 12 square-shaped plots, each of 75 meters by 75 meters. Each plot was subdivided into nine equal-sized subplots, each of 25 meters by 25 meters. Within each plot, all individual oak trees with dbh of at least 2.4 centimeters were measured using metric DBH tapes (e.g. Lufkin executive thinline). Within each center subplot of a plot, all individual non-oak trees with dbh of at least 2.4 centimeters were measured using metric DBH tapes (e.g. Lufkin executive thinline). This data can be used to study the individual variation and metabolic scaling of oak and non-oak species in the Forest.
Soil and canopy temperature data from the Arctic LTER Moist Acidic Tussock Experimental plots for 2007, Toolik Filed Station, North Slope, Alaska.
Soil and canopy temperature data from the LTER Moist Acidic Tussock Experimental plots. In 1989 a treatment plots were established in a moist acidic tundra. Treatments include nitrogen and phosphorus addition, warming with a simple greenhouse, warming with nitrogen and phosphorus addition, shading with shade cloth and shading with nitrogen and phosphorus. In 1990 data logger was installed in block 2 to measure soil temperatures and basic meteorological data. The plots are located on a hillside near Toolik Lake (68 38' N, 149 36'W). Sensors were placed in control, fertilized, greenhouse, greenhouse fertilized, shade house and shade house fertilized sites.
Soil ergosterol transect Dalton Highway Alaska 2007
The data set describes soil ergosterol concentration, which is unique to fungal membranes., from an Alaska transect . The soil samples from Alaska were collected in a trip from north to south along the Dalton Highway. north of the Yukon River.
Soil ergoserol concentration from Abisko Sweden 2007.
The data set describes soil ergosterol concentration, which is unique to fungal membranes., from samples from Abisko, Sweden. The samples from Abisko, Sweden, were collected by E.A. Hobbie at a birch forest site and a tundra site. The Abisko sites are described in www.abacus-ipy.org/fieldsites/abisko.html.
Plant litter, soil, plants and fungal fruiting bodies 15N, 13C, percent C and N along Dalton Highway, Alaska 2004, 1990, 2007.
The data set includes 15N and 13C for plant litter, soil, plants and fungal fruiting bodies (mycorrhizae), percent C (soil organic matter and percent N from samples collected in three separate trips (1990, 2004, 2007) along the transect of the Dalton Highway (AK) extending from the Yukon River on the south to Prudhoe Bay on the north.
Welker IPY snow shrub 2007 flux data, Toolik, Alaska.
This is a study of how different snow regimes effect CO2 exchange in tussock tundra and whether there are shifts in ecosystem C cycling when facets of "drift" effects are isolated. The study is part of the IPY program and is aimed at measuring the state of Arctic tundra.
Welker IPY snow fence shrub site Betula leaf 15N, 13C, %N, %C, Toolik, Alaskanear Toolik Field Station 2007 and 2008.
Betula nana leaf mineral leaf 15N, 13C, %N, %C was measured over the summer seasons in 2007 and 2008 at our shrub site. Fresh fully expanded leaves were collected several times during the summer.
Time-series of 5 minute water temperatures averages from Lake E5 near Toolik Field Station, Alaska Summer 2007.
Time-series of temperatures were measured using self-contained temperature loggers on taut-line moorings with a subsurface float 1 m below the air-water. Data are 5 minute averages of 30 second measuremsents.
Time-series of 5 minute water temperatures averages from Lake E6 near Toolik Field Station, Alaska Summer 2007.
Time-series of temperatures were measured using self-contained temperature loggers on taut-line moorings with a subsurface float 1 m below the air-water. Data are 5 minute averages of 10 second measuremsents.
Time-series of 5 minute water temperatures averages from Toolik Lake, Toolik Field Station, Alaska, Summer 2007.
Time-series of temperatures were measured using self-contained temperature loggers on taut-line moorings with a subsurface float 1 m below the air-water. Theses are the 5 minute averages of 10 second measuremsents.
2007 pre-treatment soils pH, nutrients, texture:Nutrient Network: A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Pond Laboratory Meteorological Station at the Kellogg Biological Station, Hickory Corners, MI (2007 to 2010)
Dataset Abstract Wind direction and speed, solar radiation, photosynthetically active radiation, rainfall, air temperature, and relative humidity are recorded hourly. original data source http://lter.kbs.msu.edu/datasets/4
Non linear nitrous oxide response to nitrogen fertilizer at the Kellogg Biological Station, Hickory Corners, MI (2007 to 2008)
Dataset Abstract A compilation of data from John Hoben’s thesis work. Six rates of nitrogen fertilizer (0-225 kg N ha-1) were broadcast and incorporated prior to planting on commercially farmed fields in Michigan at four farms and one experiment station. All sites were planted to corn and studied in 2007 and 2008. Site abbreviations are as follows: Kellogg Biological Station, KB; Mason, MA; Stockbridge, SB; Fairgrove, T1; Reese, T2. Please refer to the thesis (2009) and primary publication (2010) for additional information. Hoben, J. P.; Gehl, R. J.; Millar, N.; Grace, P. R.; Robertson, G. P., Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Global Change Biology 2010, 17(2), 1140-1152. Hoben, J. P. 2009. On-farm nitrous oxide (N2O) response to nitrogen fertilizer in corn cropping systems. MS Thesis, Michigan State University, East Lansing, Michigan, USA. original data source http://lter.kbs.msu.edu/datasets/133
Talus microbes and plant assessment for the upper Green Lake Valley from 2007 to 2008.
It is increasingly recognized that species distributions are driven by both abiotic factors and biotic interactions. Despite much recent work incorporating competition, predation, and mutualism into species distribution models (SDMs), the focus has been confined to aboveground macroscopic interactions. Biotic interactions between plants and soil microbial communities are understudied as potentially important drivers of plant distributions. Some soil bacteria promote plant growth by cycling nutrients, while others are pathogenic; thus they have a high potential for influencing plant occurrence. We investigated the influence of soil bacterial clades on the distributions of bryophytes and 12 vascular plant species in a high elevation talus-field ecosystem in the Rocky Mountain Front Range, Colorado, USA. We used an information- theoretic criterion (AICc) modeling approach to compare SDMs with the following different sets of predictors: abiotic variables, abiotic variables and other plant abundances, abiotic variables and soil bacteria clade relative abundances, and a full model with abiotic factors, plant abundances, and bacteria relative abundances. We predicted that bacteria would influence plant distributions both positively and negatively, and that these interactions would improve prediction of plant species distributions. We found that inclusion of either plant or bacteria biotic predictors generally improved the fit, deviance explained, and predictive power of the SDMs, and for the majority of the species, adding information on both other plants and bacteria yielded the best model. Interactions between the modeled species and biotic predictors were both positive and negative, suggesting the presence of competition, parasitism, and facilitation. While our results indicate that plant–plant co-occurrences are a stronger driver of plant distributions than plant–bacteria co-occurrences, they also show that bacteria can explain parts of plant distributions that remain
Trace Gas Analyzer Data for Cobb Mill Creek in Oyster, VA 2007-2009
A Trace Gas Analyzer (TGA) was used to collect data on fluxes of nitrous oxide and carbon dioxide emanating from a salt marsh in Oyster, VA. This data contains 1/2-hour summaries of the raw data.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 2007-01-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 2007-01-29 (17:32:14.8220560Z) by Landsat 5, row 032, path 033. Cloud cover was 11.19 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 LT50330322007029PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T09:00:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 2007-04-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 2007-04-03 (17:32:09.5360500Z) by Landsat 5, row 032, path 033. Cloud cover was 0.18 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 LT50330322007093PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-14T17:41:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 2007-04-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 2007-04-19 (17:32:03.0340940Z) by Landsat 5, row 032, path 033. Cloud cover was 0.2 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 LT50330322007109PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-14T17:44:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 2007-06-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 2007-06-22 (17:31:13.1550190Z) by Landsat 5, row 032, path 033. Cloud cover was 18.14 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 LT50330322007173PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T09:08:46Z.
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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.
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.