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18,820 results for “northing”

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edi44/100

Photodegradation of carboxyl DOC from permafrost soils collected from the North Slope of Alaska in the summer of 2015

Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The photodegradation of carboxyl carbon (C) within permafrost DOC was quantified by 13C nuclear magnetic resonance (NMR).

openCC (other)Jan 2020View details →
edi44/100

Radiocarbon and stable carbon isotopes of CO2 produced from photomineralization of DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018

Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The radiocarbon (14C) and stable carbon (13C) isotopic compositions of carbon dioxide (CO2) photochemically produced from permafrost DOC were quantified.

openCC (other)Jan 2020View details →
edi44/100

Radiocarbon and stable carbon isotope dataset for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2018

Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic. The radiocarbon (14C) and stable carbon (13C) isotopic compositions of permafrost DOC were quantified.

openCC (other)Jan 2020View details →
edi44/100

Photomineralization apparent quantum yield at 309 nm for DOC leached from permafrost soils collected from the North Slope of Alaska in the summer of 2015

Dissolved organic carbon (DOC) was leached from permafrost soils near the Toolik Field Station in the Alaskan Arctic and then characterized for its photochemical properties. The apparent quantum yield of photomineralization (photochemical carbon dioxide, CO2, production) of permafrost DOC was quantified at 309 nm.

openCC (other)Jan 2020View details →
edi44/100

Preparation of DOC leachates from permafrost soils collected from the North Slope of Alaska in the summer of 2018

Dissolved organic carbon (DOC) was leached from permafrost soils collected from the frozen permafrost layer at five sites underlying moist acidic tussock or wet sedge vegetation, and on three glacial surfaces on the North Slope of Alaska during summer 2018.

openCC (other)Jan 2020View details →
edi44/100

I-Series Bacterial Production 2000-2021, Toolik Lake catchment, North Slope Alaska

The dataset reports values for bacterial production in Toolik Lake catchment series of lakes (I-series), Alaska at depths of 1m for the time period 2000-2021. The method used is the 14-C-Leucine incorporation into bacterial cells.

openCC (other)Dec 2024View details →
edi44/100

Flow direction grid at 1 kilometer resolution for North Slope drainage basins, Alaska

We derived and evaluated a 1 kilometer spatial resolution flow direction grid for the terrestrial drainage of the North Slope of Alaska. The region is resolved by 182,722 grid cells and the associated connectivity. It is bounded by the Brooks Range and Beaufort Sea coast, and extends from the northern Chukchi Sea coast eastward to the small rivers near 140 degrees West. The dataset is provided in raster and tabular format, with the latter including coordinates, river basin identifier, and downstream reach and direction for each grid cell in the region. Over three dozen river basins are identified by name in an associated lookup table. This new mapping resolves the terrestrial drainages for rivers exporting freshwater, nutrients, and other materials to Elson, Simpson, Jago, Kaktovik, and other coastal lagoons at a resolution that captures important processes linked to surface and subsurface hydrological flows. Our analysis suggests that the mapping exhibits notable similarity in basin area boundaries relative to the benchmark USGS National Hydrography Dataset.

openCC0Jan 2020View details →
edi44/100

The role of fire in the carbon dynamics of the boreal forest I. - Response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach (2003-2100).

The boreal forest contains large reserves of carbon, and across this region wildfire is a common occurrence. To improve the understanding of how wildfire influences the carbon dynamics of this region, methods were developed to incorporate the spatial and temporal effects of fire into the Terrestrial ecosystem Model (TEM). The historical role of fire on carbon dynamics of the boreal region was evaluated within the context of ecosystem responses to changing atmospheric CO2 and climate. These results show that the role of historical fire on boreal carbon dynamics resulted in a net carbon sink; however, fire plays a major role in the interannual and decadal scale variation of source/sink relationships. To estimate the effects of future fire on boreal carbondynamics, spatially and temporally explicit empirical relationships between climate andfire were quantified. Fuel moisture, monthly severity rating, and air temperature explained a significant proportion of observed variability in annual area burned. These relationships were used to estimate annual area burned for future scenarios of climate change and were coupled to TEM to evaluate the role of future fire on the carbon dynamics of the North American boreal region for the 21st Century. Simulations with TEM indicate that boreal North America is a carbon sink in response to CO2 fertilization, climate variability, and fire, but an increase in fire leads to a decrease in the sink strength. While this study highlights the importance of fire on carbon dynamics in the boreal region, there are uncertainties in the effects of fire in TEM simulations. These uncertainties are associated with sparse fire data for northern Eurasia, uncertainty in estimating carbon consumption, and difficulty in verifying assumptions about the representation of fires that occurred prior to the start of the historical fire record. Future studies should incorporate the role of dynamic vegetation to more accurately represent post-fire successional pr

openOpenDec 2008View details →
edi44/100

Dendrometer Band Measurements from the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrologic Laboratory, Otto, North Carolina.

Trees for this project were banded with aluminum bands and growth increment markers to accurately measure tree growth at multiple times during the year. Trees were located on each of the five terrestrial gradient plots. Tree species, initial diameter, and subsequent calculated diameters are included for each tree.

openCustomJan 2020View details →
edi44/100

Tree growth (1999-2012) for the Functional Diversity project, Coweeta Hydrologic Laboratory, Otto, North Carolina

The importance of the herbaceous layer in regulating ecosystem processes in deciduous forests is generally unknown. We use a manipulative study in a rich, mesophytic cove forest in the southern Appalachians to test the following hypotheses: (i) the herbaceous functional group (HFG) in mesophytic coves accelerates carbon and nutrient cycling, (ii) high litter quality input and rapid nutrient turnover associated with HFG will have a positive effect on overstory tree growth, and (iii) the HFG regulates tree regeneration with negative effects on seedling establishment due to competition for resources. We established treatment plots in a mesic, cove-hardwoods forest and removed the herbaceous flora (HR, removed twice per year) or added herbaceous organic material (OMA, once per year) for comparison to a no removal (NR) reference for a total of 14 years. The OMA treatment stimulated soil N-mineralization and increased litterfall mass and N content. OMA N-mineralization rates were more than two times greater than both the NR and HR treatments; however, we did not detect significant differences in soil CO2 efflux among treatments. Higher overstory litterfall mass and N in the OMA treatment plots indicated that overstory trees were benefiting from the enhanced soil N-mineralization. Higher overstory leaf mass and N suggests an important linkage between HR and aboveground net primary production even though this did not translate into greater tree basal area increment. We found an increase in regeneration of all tree species with HFG removal, and the response was particularly evident for Acer rubrum seedlings.

openCustomJan 2020View details →
edi44/100

Manual soil moisture measurements from ten artificial forest gaps at the Coweeta Hydrologic Laboratory, North Carolina, 2000-2018

Ten artificial forest gaps were created in March 2002 at Coweeta, following two years of pretreatment data collection. Experimental gaps were created by pulling canopy trees with a winch until they were down. Trees, saplings, and seedlings were censused and tracked as part of a demography study. Soil moisture data was collected during the growing season as an explanatory variable for tree survivorship and mortality.

openCustomJan 2020View details →
edi44/100

Continuous microclimate measurements from Forest Site J, Coweeta Hydrologic Laboratory, North Carolina, 2007-2016.

This research involves collecting continuous soil moisture measurements on plot J of the forest gap project. In addition, air temperature, and soil temperature at 5 and 20 cm depths are also measured.

openCustomJan 2020View details →
edi44/100

Forest floor weights and Oe-Oa soil depths from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N analyses.

openCustomJan 2020View details →
edi44/100

Groundwater well chemistry from 7 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Shallow groundwater wells were installed at 7 sites throughout Macon County, NC beginning in 2011. Sites represent a gradient of land use, including relatively undisturbed forests, valley bottomlands in agriculture, and mountain developments. Nine groundwater wells were placed along 3 "ridge-to-riparian" transects at each site. Collections were made every other week.

openCustomJan 2020View details →
edi44/100

Soil bulk density measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Soil bulk density samples were collected for the soil chemistry studies at the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. Sites were sampled 9/2013-11/2013. Samples were obtained from 4 plots in each site at 3 soil depths (0-10 cm, 10-30 cm, and 30+ cm).

openCustomJan 2020View details →
edi44/100

Soil percent carbon and nitrogen from 9 hillslopes sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Percent carbon and percent nitrogen of soil were analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for percent C & N at the Coweeta Analytical Laboratory.

openCustomJan 2020View details →
edi44/100

Forest floor carbon and nitrogen content from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N analyses.

openCustomJan 2020View details →
edi44/100

Forest floor cation content from 9 Hilllslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Forest floor samples were collected at 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments in Macon County, NC. Forest floor was divided into two categories: forest floor (i.e., Oi, Oe, & Oa layers) and wood <10 cm diameter. Afterwards, the combined depth of the Oe and Oa was measured in the middle of 3 sides of the subplot. Forest floor collections were later dried and weighed before being processed for C and N and cation analyses.

openCustomJan 2020View details →
edi44/100

Soil pH measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the Upper Little Tennessee River Basin

Acidity of soil was analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for pH at the Coweeta Analytical Laboratory.

openCustomJan 2020View details →
edi44/100

Soil phosphorus measurements from 9 Hillslope Project sites in Macon County, North Carolina, within the upper Little Tennessee River Basin

The percent of Phosphorus in soil was analyzed as part of the hillslope plots in Macon County, North Carolina. There were 9 hillslope sites representing a gradient of development, including forested, valley agriculture, and mountain housing developments. There were 12 10 x 10-m plots at each site. A soil probe was used to collect soils from 3 depths at each plot: 0-10 cm, 10-30 cm, and 30 + cm. Soil was then dried, processed, and analyzed for P at the Coweeta Analytical Laboratory.

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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