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4,775 results for “carbon”
Fire Self-Limitation (FiSL) Experiment: Quantifying Wildfire Carbon Combustion Losses in boreal Deciduous and Mixed Forests in Interior Alaska and the Boreal Cordillera VIII: Seedling Inventory 2022
This dataset contains characteristics of post-fire seedlings and resprouts collected in the field for plots in 8 fire scars in Interior Alaska and the Yukon. Data was collected in the summer of 2022. Fire scars sampled included Shovel Creek (2019), Aggie Creek (2015), Hess Creek (2019), Baker (2015), Munson Creek (2021), Isom Creek (2020), 2019MA014 (2019), and 2019BC005 (2019).
Fire Self-Limitation (FiSL) Experiment: Quantifying Wildfire Carbon Combustion Losses in boreal Deciduous and Mixed Forests in Interior Alaska and the Boreal Cordillera IX: metrics derived from All Raw Data Collected Plus Data from Previous Studies on the 2004 Alaska Wildfires Included in Analysis 2022
This data set includes metrics derived from field and lab data collected for deciduous and mixed deciduous-confier plots collected in the summer of 2022 (Shovel Creek (2019), Aggie Creek (2015), Hess Creek (2019), Baker (2015), Munson Creek (2021), Isom Creek (2020), 2019MA014 (2019), and 2019BC005 (2019)), as well as additional data for conifer plots from previous studies of the Taylor Highway Complex (2004), Dall Creek/Yukon Crossing (2004), and Boundary (2004) fires. Those additional data were acquired from: https://www.lter.uaf.edu/d1/d1-detail/id/773 and https://daac.ornl.gov/ABOVE/guides/ABoVE_Plot_Data_Burned_Sites.html. From this complete data set of 333 plots, 311 plots were used in analyses in Black at al. (NCC) paper: "Increased deciduous tree dominance reduces wildfire carbon losses in boreal forests". Plots excluded (from 2022 FiSL data) were poplar-dominated, mixed poplar/conifer dominated, missing soil C data, or conifer-dominated (adventituous root heights were not recorded consistently at sites in 2022 making it impossible to estimate pre-fire conifer stand organic soil C pools for 2022-collected conifer plots). Only 2005-collected conifer plots were used in NCC paper analyses. For all plots, in addition to field/lab derived site characteristics and combustion metrics, post hoc remotely sensed metrics were derived: pre-fire NDVI/EVI-2 trends, 1980-2010 climate normals, and DOB weather metrics.
Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): soil organic carbon stocks and radiocarbon measurements, 2009 & 2022
The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data set includes measurements of soil organic carbon stocks and radiocarbon (14C) values that are normalized to account for the effects of subsidence and ground collapse. SOC and 14C values were normalized using an equivalent ash approach described in Plaza et al. (2019) Nat Clim Change and Lathrop et al. (2025) Global Change Biology.
Soil percent nitrogen and carbon: BioCON : Biodiversity, Elevated CO2, and N Enrichment
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Long-term nitrogen fertilization inhibits carbon and nitrogen loss during late stage fungal necromass decomposition depending on necromass chemistry
Fungal necromass is increasingly recognized as a key component of in soil carbon (C) and nitrogen (N) cycling. However, how C and N loss from fungal necromass during decomposition are impacted by global change factors such as anthropogenic N addition and changes to soil C supply (e.g. via changing root exudation and rhizosphere priming) remains unclear and understudied relative to plant tissues. To address these gaps, we conducted a year-long decomposition experiment with four species of fungal necromass incubated across four forested sites in plots that had received inorganic N and/or labile C fertilization for decades in Minnesota, USA. We found that necromass chemistry was the primary driver of C and N loss from fungal necromass as well as response to fertilization. Specifically, N addition suppressed late-stage decomposition, but this effect was weaker in melanin-rich necromass, contrary to the hypothesis based on plant litter dynamics that N addition should suppress decomposition of more complex organic molecules. Labile C addition had no effect on either the early or late stages of necromass decomposition. Nitrogen release from necromass also varied among species, with N-poor necromass having lower N release after controlling for differences in mass loss via regression. The relatively minor effects of N fertilization on the proportion of initial necromass N released suggests that N demand by decomposers is the primary control on N loss during fungal necromass decomposition. Together, our results stress the importance of the afterlife effects of fungal chemical composition to forest soil C and N cycles. Further, they demonstrate that C and N release from this critical pool can be reduced by ongoing anthropogenic N addition.
Consequences of non-random tree species loss on litter mass loss, nutrient dynamics, carbon cycling, and decomposer communities across a terrestrial-aquatic interface at Coweeta Hydrologic Lab, Otto, NC
Although litter decomposition is a fundamental ecological process, most of our understanding comes from studies of single-species decay. Recently, litter-mixing studies have tested whether monoculture data can be applied to mixed-litter systems. These studies have mainly attempted to detect non-additive effects of litter mixing, which address potential consequences of random species loss. The focus is not on which species are lost, but the decline in diversity per se. Under global change, species loss is likely to be non-random, with some species more vulnerable to extinction than others. Under such scenarios, the effects of individual species (additivity) as well as of species interactions (non-additivity) on decomposition rates are of interest. To examine potential impacts of non-random species loss on ecosystems, we studied additive and non-additive effects of litter mixing on decomposition. A full-factorial litterbag experiment was conducted using four deciduous leaf species, from which mass loss and nitrogen content were measured. Data were analysed using a statistical approach that first looks for additive identity effects based on the presence or absence of species and then significant species interactions occurring beyond those. It partitions non-additive effects into those caused by richness and or composition.
Monthly monitoring of Fluorescence, UV, Humic and non-Humic Carbon, Carbohydrates, and DOC for Shark River Slough, Taylor Slough, and Florida Bay, Everglades National Park (FCE LTER) for January 2002 to August 2004
A better understanding of the biogeochemical cycling of nutrients in the Florida Coastal Everglades is a key issue regarding the restoration of the Everglades, which is expected to change the water quality throughout South Florida. In addition to rain, the main freshwater supply to Florida Bay will be derived from Taylor Slough and the C-111 Basin in the north-east section of the Bay. While it is known that these areas deliver significant amounts of nitrogen to the Bay, a significant portion of this nitrogen is in its dissolved organic form (DON). The sources, environmental fate and bioavailability to microorganisms of this DON are however, not known. Preliminary data suggest that although proteins have been detected in canal samples, labile dissolved organic matter (DOM) components were found to increase in abundance in the freshwater marshes compared to their levels in the adjacent canal waters. Leaching experiments of biomass showed the presence of such labile DOM. However, this DOM was found to be susceptible to both biodegradation and photodecomposition. In this study we will focus on the determination of the molecular characteristics of both DOM and DON and assess the bioavailability of these materials in transects ranging from the C-111 canal and Taylor Slough to the central part of Florida Bay. Relevant water quality and spectroscopic parameters will be monitored at 11 sites on a monthly basis, while six of these sites will be sampled biannually for DOM and DON chemical characterization and bioavailability studies. Advanced analytical techniques such as pyrolysis-GC/MS, FTIR, 13C- and 15N-NMR, gel electrophoresis and LC/MS will be used in the molecular characterization effort. We envisage that this study will allow for a better assessment of the sources of DON and its bioavailability in this system.
Organic and inorganic data for soil cores from Brazil and Florida Bay seagrasses to support Howard et al 2018, CO2 released by carbonate sediment production in some coastal areas may offset the benefits of seagrass “Blue Carbon” storage, Limnology and Oceanography, DOI: 10.1002/lno.10621
Using piston corers, soils from Florida Bay and Brazilian seagrass meadows were collected to complete organic and inorganic carbon inventories for the top 1 m of soil. Instrumental analyses and loss on ignition at 500C were used to measure C content of downcore slices.
Mangrove Leaf Litter Carbon and Nutrients from the Shark River Slough, Everglades National Park (FCE), South Florida, USA, January 2019 - ongoing
Mangrove litterfall dynamics have been monitored in all Shark River sites (SRS-4, SRS-5, SRS-6) since January 2001 using the same collection method stated in Castañeda-Moya et al. 2013 (metadata: knb-lter-fce.1195) and Danielson et al. 2017. Briefly, litterfall was collected monthly at all sites (10 baskets per site) using permanent 0.25 m2 wooden baskets supported approximately 1.3 m above the soil surface and lined with 1 mm mesh screening. Litterfall from each basket was sorted, dried, and weighed by leaf species, reproductive parts by species, and woody material. Leaf litter data from different years (2019, 2020, 2021, 2023) were selected for each site to identify species-specific foliar carbon and nutrient (N and P) content. Monthly leaf litter samples were analyzed separately by species for all years after grinding with a Wiley Mill to pass through a 40-µm mesh screen. Total leaf litter C and N contents were determined with a Carlo-Erba NA-1500 elemental analyzer (Fisons Instruments Inc., Danvers, MA, USA). Total leaf litter P was extracted using an acid-digest (HCl) extraction, and concentrations of SRP were determined by spectrophotometric analysis (Methods 365.4 and 365.2, USA EPA 1983). Litterfall data collection is ongoing every year since 2001, while C and nutrients analyses are performed every other year after 2021. See also Shark River mangrove litterfall data (knb-lter-fce.1195) on the FCE LTER website's data catalog or in the EDI repository (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-fce&identifier=1195). References: Castañeda-Moya, E., Twilley, R. R., & Rivera-Monroy, V. H. (2013). Allocation of biomass and net primary productivity of mangrove forests along environmental gradients in the Florida Coastal Everglades, USA. Forest Ecology and Management, 307, 226-241. Danielson, T.M., V.H. Rivera-Monroy, E. Castaneda-Moya, H. Briceno, R. Travieso, B.D. Marx, E. Gaiser, and L.M. Farfan. 2017. Assessment of Everglades mangrove forest re
June 2001 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in June, 2001. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
October 2001 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in October, 2001. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
November 2001 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in November, 2001. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
March 2002 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in March, 2002. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
September 2002 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in September, 2002. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
December 2002 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in December, 2002. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
March 2003 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in March 2003. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
October 2001 water column particulate carbon and nitrogen concentrations for Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected from the surface and the bottom of the water column at ten GCE-LTER sampling sites and from the surface of the water column during six transect surveys along the Altamaha River in October, 2001. Samples were taken at various times of day and under various tidal conditions. The particulate matter was separated by filtration and analyzed for elemental carbon and nitrogen content by CN analysis. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
June 2003 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in June 2003. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
September 2003 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in September 2003. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
June 2003 surface water dissolved organic carbon concentrations at ten Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle from just beneath the surface during tidal surveys at ten GCE-LTER sampling sites in June 2003. Water samples were immediately filtered through ashed Whatman GF/F filters and three replicate samples were acidified, refrigerated and transported to the laboratory for analysis. Concentrations of dissolved organic carbon were measured in each sample by high temperature combustion and chromatographic analysis using a Shimadzu TOC analyzer. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
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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.