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863 results for “chemistry”
Caribou-Poker Creeks Research Watershed: Stream chemistry from summers of 2021-2022
This dataset contains stream chemistry data collected at six sites throughout the Caribou-Poker Creeks Research Watershed (CPCRW) from May-September 2021 and 2022. The dataset includes concentrations of dissolved organic carbon (DOC), nitrate (NO3), soluble reactive phosphorus (SRP), and SUVA254 (absorbance at 254nm normalized by DOC concentration) from weekly grab samples as well as daily samples collected by autosamplers. Note that only weekly samples were collected from the NEONdn site, and SRP was only analyzed on weekly samples.
Interior Alaska water chemistry 2015, 2018, 2019-2022
This dataset contains solute concentrations and stable isotope abundance for waters collected at French, Moose, Stuart, Vault and Poker Creeks near Fairbanks, Alaska. In addition to stream water, the dataset includes water samples collected from possible water sources to these streams, including precipitation, snow, soil water, springs, groundwater and other water bodies. Solutes include major anions and cations, dissolved organic carbon, total dissolved nitrogen, and total dissolved phosphorus. Isotope ratios for deuterium and 18O-water and 15N and 18O-nitrate are available at lower temporal frequency.
Interior Alaska stream chemistry 2018-2019
This dataset contains solute concentrations and watershed attributes for one-time synoptic sampling conducted at baseflow (~July) in 2018 or 2019 at interior Alaska streams.
Long-term record of streamwater chemistry in Sycamore Creek, Arizona, USA (1977-1999)
The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). This specific dataset was collected to monitor long-term changes in dissolved nutrient concentrations (e.g., nitrogen, phosphorus) and other water-quality parameters by sampling surface water.
Long-term monitoring of streamwater chemistry in Sycamore Creek, Arizona, USA (2010-2014)
The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). This specific dataset was collected to monitor long-term changes in dissolved nutrient concentrations (N, P, C) by sampling surface water within gravel and wetland dominated reaches during baseflow.
Long-term monitoring of floodwater chemistry in Sycamore Creek, Arizona, USA (2010-2021)
The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). These data were collected to understand how climate change alters flood-mediated delivery of the limiting resource, nitrogen. Specifically, how does the amount of winter rainfall and the number, timing, and intensity of winter and monsoon floods alter N delivery. Previous research indicates that nitrogen is a limiting element in Sycamore Creek, and that pulses of nitrogen enter the system from the landscape during winter rains and summer monsoons. Nitrogen in high concentrations can be a pollutant so consideration of downstream export is a consideration. Researchers collected water samples during storms to compare inter- and inter-annual variability in storm dynamics, and to examine the pulse of various nutrients associated with these events.
Effects of Nitrogen Fertilization on Litter and Soil Decomposition: Fine Root Biomass and Chemistry
The influence of inorganic nitrogen (N) inputs on decomposition is poorly understood. Some prior studies suggest that N may reduce the decomposition of substrates with high concentrations of lignin via inhibitory effects on the activity of lignin-degrading enzymes, although such inhibition has not always been demonstrated. The purpose of E145 was to study the effects of nitrogen (N) addition on decomposition of seven substrates ranging in initial lignin concentrations (from 7.4 - 25.6%) over five years in eight different grassland and forest sites in central Minnesota.
Species trait tissue chemistry: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes
Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
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.
Groundwater and surface water chemistry from the Hole-in-the-Donut and nearby Taylor Slough in Everglades National Park, Florida, USA: 2015-2016
This research investigated the effects of the vegetation and soil removal on the hydrologic conditions of the Hole-in-the-donut (HID) of Everglades National Park. Groundwater and surface water samples were collected from 2 wells within the HID (DO1,DO3) and two wells outside the HID in adjacent Taylor Slough (NP-67, TSB). Surface water was collected at each site if present.
Baseline soil chemistry data measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx)
SALTEx (Seawater Addition Long-Term Experiment) is a field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. The SALTEx experiment was initiated in 2012 and consists of 31 field plots, each 2.5 m on a side. There are three treatments (Press, Pulse, and Fresh) and two types of controls (with and without sides), each consisting of six replicates. The Press treatment plots receive regular (4 times each week) additions of a mixture of seawater and fresh river water. Pulse plots receive the same mixture of seawater and river water during September and October, which is historically a time of low flow in the river when natural saltwater intrusion occurs. The Fresh treatment plots receive regular additions of fresh river water. Treatment water is added during low tide to facilitate its infiltration into the soil, and all plots are inundated by astronomical tides at high tide. Soils were destructively sampled before the beginning of the experiment (March 2014) and after approximately 3 years of treatments (December 2016) and analyzed for bulk density, percent carbon, percent nitrogen, total phosphorus, available phosphorus, available nitrate, and available ammonium.
Hubbard Brook Experimental Forest: Watershed 3 Subsurface Water Chemistry
This dataset consists of chemical analyses of subsurface water samples collected from Watershed 3, Hubbard Brook Experimental Forest, Woodstock, NH, USA from 2009-2020. Samples include groundwater samples pumped from monitoring wells, grab samples of natural groundwater seeps, and soil water samples pumped from Prenart lysimeters. For samples from wells where water table was monitored, depth to water table is given. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Atmospheric deposition chemistry data from dryfall at the Jornada Basin LTER: 1983-ongoing
This data package contains concentrations of water soluble components from dryfall (dust) atmospheric deposition collected at the Jornada Basin LTER weather station north of Las Cruces, NM in Dona Ana County, New Mexico, USA. Atmospheric deposition as found in dryfall (dust) and wetfall precipitation has been collected at this location since 1983 using an Aerochem Metrics wetfall/dryfall collector. Dryfall occurring as atmospheric fallout is collected monthly. Each sample is analyzed for Br, Ca, Cl, F, HPO4, K, Mg, Na, NH4, NO3/NO2, SO4, Total N, and Total P. Analysis of Sr and Dissolved Organic Nitrogen was discontinued in 2003. Wetfall precipitation chemistry is available in data package knb-lter-jrn.210128002.
Atmospheric deposition chemistry data from wetfall at the Jornada Basin LTER: 1983-ongoing
This ongoing data package contains concentrations of water soluble components in wetfall (precipitation) atmospheric deposition collected at the Jornada Basin LTER weather station north of Las Cruces, NM in Dona Ana County, New Mexico, USA. Atmospheric deposition as found in dryfall (dust) and wetfall precipitation has been collected at this location since 1983 using an Aerochem Metrics wetfall/dryfall collector. Wetfall occurring as precipitation is collected after each event with a sample size large enough to analyze. Each sample is analyzed for Br, Ca, Cl, F, HPO4, K, Mg, Na, NH4, NO3/NO2, SO4, Total N, and Total P. Analysis of Sr and Dissolved Organic Nitrogen was discontinued in 2003. Dryfall atmospheric deposition chemistry data is available in data package knb-lter-jrn.210128001.
Aggregate mesquite litter chemistry following soil-mixing and decomposition in a semi-arid grassland at the Jornada Basin LTER, 2010-2012
This dataset contains litter carbon content, nitrogen content, and associated chemistry data from a litter decomposition experiment at the Jornada Basin LTER in 2010 to 2012. To assess the role of soil-litter mixing (SLM) in aridland litter decomposition, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. To assess the role of vegetation structure, litterbags were deployed in contrasting vegetation microsites, including grass, shrub, and bare ground microsites. This dataset contains litter chemistry data from the experiment including percent carbon, percent nitrogen, ash corrections, and the carbon to nitrogen ratio of litter in recovered bags. This study is complete.
PBG11 Stream water chemistry for the Shane Creek drainage basin in the Patch-Burn Grazing experiment at Konza Prairie
PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year. The burning treatments are rotated annually so that each pasture is burned every third year. Each patch-burn grazing unit is paired with an annually-burned pasture for comparison with traditional grazing systems (C01A and C1SB). All grazing units are stocked with cow/calf pairs from approximately 1 May until 1 Oct at a stocking density equal to 3.2 ha per cow/calf. To examine the impact of patch burning and grazing in all 8 units, we monitor changes in plant species composition, residual biomass, grassland bird populations, insect populations, small mammal populations, soil nutrients, and stream water quality1 (1C3SA/C3SB/C3SC unit only). The KSU Department of Animal Science monitors cattle performance, including weight gain and body condition to assess the economic feasibility of using patch-burn management on a widespread basis. This data set focuses on measuring Nitrate, ammonium, total N, soluble reactive P, total P, and dissolved organic C in four streams draining watersheds with 1 (N01B), 2 (N02B), 4 (N04D), and 20 (N20B) year target burn frequencies.
PEC01 Elemental chemistry of plant tissue collected for the Konza LTER aboveground plant biomass on Konza Prairie core watersheds
Dataset contains elemental chemistry (N, C, Al, As, B, Ba, Be, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, P, Pb, S, Si, Ti, V, and Zn) of dried and ground, end-of-season, above-ground live tissue from grasses, forbs, and woody plants collected on Tully soils in the watersheds 001d, 004b, and 020b. N and C are provided as percentages; all other elements are provided as parts per million (ppm). Within plant growth type (grasses, forbs, and woody) and year, elemental concentrations were measured on one pooled (2g) sample containing four (0.5g) subsamples of ground and dried plant tissue (subsamples included from recent years were named TA2, TB2, TC2, and TD2; subsamples included from older years were named: TA2, TA4, TB2, TB4). For more information on plant sampling see the description of the Konza LTER PAB01 aboveground plant biomass dataset (Blair & Nippert). Elemental chemistry was analyzed using combustion analysis for percent N and using hot plate digestion and inductively coupled plasma atomic emission spectroscopy (ICP-AES) for concentrations of metals (ppm) at the Cornell Nutrient Analysis Laboratory (https://cnal.cals.cornell.edu/).
ANA01 Weekly, seasonal and annual measurement of precipitation volume and chemistry collected as part of the National Atmospheric Deposition Program at Konza Prairie
Data set contains results of chemical analysis of wetfall samples collected on Konza Prairie. Analysis is done by the Central Analytical Lab (CAL), Champaign, IL as part of the National Atmospheric Deposition Program (NADP). NADP data products available on the NADP/NTN web site (nadp.slh.wisc.edu/data/NTN/) include: Annual Data Summaries, Semiannual Data Reports, Annual and Seasonal Averages, Monthly Averages, and Weekly data. Konza Prairie LTER archives and provides the weekly data in electronic form before May 2019.
NBC01 Konza Prairie Belowground Plot Experiment: Soil chemistry responses to experimental manipulations of fire, nutrients and mowing
To address the potential interactive effects of fire, aboveground biomass removal, and nutrient amendments on above- and belowground responses, a long-term field experiment was initiated in 1986 as part of the Konza Prairie Long-Term Ecological Research (LTER) program. The general goals of this experiment are: 1) to document both short- and long-term responses of plants and soils to fire, aboveground biomass removal (a surrogate for grazing in these small plots), and nutrient amendments (additions of N and/or P); and 2) to provide a better understanding of the mechanisms underlying tallgrass prairie responses to fire, aboveground biomass removal and nutrient enrichment. Effects of burning, mowing, and N + P additions on soil chemistry are measured on the 64 belowground plots at irregular intervals. Variables measured include P, NO3, NH4, Mn, Cu, K, Zn, Ca, Fe, Mg, Na, ph, Organic matter and Organic-N.
NBS01 Belowground Plot Experiment: Soil water chemistry from Lysimeters
To address the potential interactive effects of fire, aboveground biomass removal, and nutrient amendments on above- and belowground responses, a long-term field experiment was initiated in 1986 as part of the Konza Prairie Long-Term Ecological Research (LTER) program. The general goals of this experiment are: 1) to document both short- and long-term responses of plants and soils to fire, aboveground biomass removal (a surrogate for grazing in these small plots), and nutrient amendments (additions of N and/or P); and 2) to provide a better understanding of the mechanisms underlying tallgrass prairie responses to fire, aboveground biomass removal and nutrient enrichment. Soil water nitrogen composition is measured using porous cup lysimeters from samples from nitrogen fertilized and control plots. Measurements include nitrate, ammonium, phosphate, and organic nitrogen and phosphorus
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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)
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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.