Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
45
datasets available to search
ShareScore release 0.9.0
Dataset results
45 results for “nutrient cycling”
Rates of benthic metabolism and nutrient cycling in the Parker and Rowley Rivers of the Plum Island Sound estuary, Massachusetts, PIE LTER.
Rates of benthic metabolism and nutrient cycling in the Parker and Rowley Rivers of the Plum Island Sound estuary. Measurements include those conducted at two sites in the Parker River in Spring (high river discharge) and Fall (low discharge) for long-term monitoring, also at other sites throughout the estuary over a variety of seasons and salinities.
Microbial, Plant, and Soil Impacts on Soil Nutrient Cycling in Harvard Forest and Greater Boston 2021-2022
Microbes are the driving force behind nutrient cycling within soils, secreting enzymes necessary to break down organic matter, immobilizing nutrients and C, or transferring nutrients to plant hosts. Even though nutrients would almost never move through ecosystems without microbes, we know little about how their composition and activity is related to ecosystem nutrient cycling, and their importance relative to plant and soil abiotic factors. In this study, we sought to determine which commonly measured soil microbial community characteristics best explain soil N and P cycling, and the relative contributions of microbial, plant, and abiotic factors in explaining these processes.
Influence of soil amendment and crop species on nutrient cycling in a St. Paul urban garden, 2017-2023
An experiment was conducted from 2017-2023 at the University of St. Thomas research garden (Saint Paul, MN) to determine rates of nutrient recycling and loss from compost applied to urban gardens. Thirty-two 4 m2 study plots received one of six different soil amendment treatments, with four different crops growing on each plot. Meteorological data includes hourly measurements of rainfall, solar radiation, temperature and relative humidity, and wind speed and direction, from June 2017-October 2023. Hourly soil moisture measurements were recorded at depths of 10 cm, 20 cm, and 30 cm, from June-December 2021, June-October 2022, and June-October 2023. Annual crop harvest totals from each subplot are reported for 2017-2023. Leachate was collected from lysimeters installed in each of the 132 subplots weekly from June-October of each year (2017-2023), recording total volume. Leachate subsamples were analyzed for NO3-N, NH4-N, and PO4-P. Soil samples were collected at the beginning and end of the growing season in 2017, and every two weeks during the growing season from 2018-2023, and analyzed for pH, organic matter, Bray-1 extractable P, available K, nitrate, and ammonium, at the University of Minnesota Analytical Research Laboratory.
Ecosystem nutrient cycling in northern hardwood and conifer stands at Cone Pond, Hubbard Brook, and Sleepers River
This dataset provides comprehensive measurements of nutrient concentrations and fluxes in foliage, fine roots, wood, litterfall, and throughfall in hardwood and conifer stands across temperate forest stands at three long-term ecological research sites in the northeastern United States: Cone Pond, NH, Hubbard Brook, NH, and Sleepers River, VT. These sites vary in bedrock composition, parent material, and soil chemistry, but share similar climatic characteristics. Tissue nutrient concentrations were determined in leaves, fine roots, wood, and branches using site- and tissue-specific methods, with additional quality control through certified standards and duplicate sampling. Nutrient fluxes via litterfall and throughfall were measured over multiple years. Nutrient fluxes in roots were estimated from minirhizotron-based turnover rates and fine root biomass. Annual nutrient accumulation and uptake were calculated by integrating biomass production and nutrient concentrations. This dataset supports cross-site comparisons of forest biogeochemistry and provides a basis for evaluating nutrient limitations, cycling processes, and ecosystem responses to environmental gradients in northeastern temperate forests.
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.
Data accompanying the manuscript "Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake", published in Limnology and Oceanography (doi: 10.1002/lno.12687)
<p>CTD and geochemical data accompanying the publication: Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake in Limnology & Oceanography (doi: 10.1002/lno.12687).</p>
Trace metal, ion, and nutrient concentrations in aeolian samples subjected to experimental freeze-thaw cycles, collected from Taylor Valley, McMurdo Dry Valleys, Antarctica (2013-2016)
This data package contains measurements of trace metal, ion, and nutrient concentrations in aeolian samples collected from several locations throughout Taylor Valley in the McMurdo Dry Valleys of Antarctica during the 2013-2014, 2014-2015, and 2015-2016 austral summers. Samples were collected by the McMurdo Dry Valleys Long Term Ecological Research Program (MCM LTER) using Big Spring Number Eight (BSNE) isokinetic wind samplers located at Explorer’s Cove, Lake Fryxell at F6, East Lake Bonney, and Taylor Glacier. Samples were then subjected to experimental freeze-thaw cycles in a controlled laboratory setting to simulate supraglacial weathering processes and then analyzed to understand how freeze-thaw cycles affect nutrient, ion, and trace metal concentrations over time.
Model to: Participatory modelling of scenarios to restore nitrogen cycles in a nutrient-saturated area
<p>Based on this model we wrote the manuscript: "Participatory modelling of scenarios to restore nitrogen cycles in a nutrient-saturated area"</p><p><strong>Abstract</strong></p><p>This paper aims to find socially acceptable solutions of circularity as measure to reduce nitrogen (N) losses and prevent environmental damage by combining participatory modelling and scenario Substance Flow Analyses (SFA). A local perspective was taken on the agro-food-waste system in the animal production-dominated German district Cleves. Three scenarios were programmed as Monte Carlo simulation of SFA with stakeholder input regarding crop allocation, livestock composition, livestock reduction, and manure allocation following the elimination of feed imports. One scenario with the unaltered stakeholder input (PS), one with altered crop allocation to satisfy the demand for feed (CBS), and one with the livestock numbers changed to match the locally available feed (LBS). In the reference year (2020) agricultural losses amounted to 0.07 t N year-1 ha -1 agricultural land and 0.12 t N in feed was imported year-1 ha -1 agricultural land. In the PS feed import elimination led to deficits in feed availability. The LBS showed the biggest reduction of agricultural N losses and improved N use efficiency (+6%), however agricultural losses were still high (0.05 t N year-1 ha -1 agricultural land). The results show a limited effect of feed import elimination on N losses if no further measures are taken, such as increased sufficiency of consumers, e.g. less animal-based products. Further, the study shows, that it is important to improve stakeholders´ knowledge about approaches to circular agro-food-waste systems. The discrepancy between stakeholder visions and N circularity provide policy makers with the recommendation to improve stakeholders´ visions of a circular agro-food-waste system.</p><p> </p>
Forest defoliator outbreaks disrupt nutrient cycling in northern waters
<p>Datasets for manuscript Forest defoliator outbreaks alter nutrient cycling in northern waters. IO_df is the main insect outbreak dataframe used to generate the bulk of the figures and results. It contains measures of monthly lake chemistry, insect disturbance, and catchment characteristics. Defoliator_Bark-Wood-Beetle_df is used to generate figure S1 and contains yearly measures of defoliator and bark/wood beetle outbreaks. ndvi_lai_data is used to generate figure S6 and contains the relationship between MOIDS LAI and Landsat NDVI. Outbreak_History is used to generate figure 5 and is a record of catchment-level disturbances in our study region. </p>
Global nutrient cycling by commercially targeted marine fish (Le Mézo et al., 2022, Biogeosciences)
<p>Model outputs and code used for the study "Global nutrient cycling by commercially targeted marine fish" published in <em>Biogeosciences</em> (Le Mézo et al., 2022). </p> <ul> <li>composite4b_cycling_MCV3_PotH_LME_2010_R2_2010_fNPP7_ks24_p50_c7_newFNPP_Online_nruns_31 = model outputs with <ul> <li><strong>composite.maps</strong> contains the 2D fields</li> <li><strong>y200</strong> refers to fields at the pristine state and <strong>yglo</strong> to fields at the global peak catch.</li> <li><strong>dfish</strong> is the fish biomass in wet weight per gram (size class)</li> <li><strong>resp5</strong> is the cycling rate that was used in the paper (defined in the Methods section)</li> </ul> </li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/01_Mean_and_uncertainty_commercial_fish.mlx">Main_script.mlx</a> = main code used to compute the nutrient content and cycling of fish and the comparisons with other fields</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/size_bins_width.m">size_bins_width.m</a> = code used to compute the model size bin width</li> <li>data_annual.mat = NO3, PO4, NPP, C export fields</li> <li>composite_MCV3_PotH_LME_2010_R2_2010_fNPP7_ks24_p50_c7_newFNPP_Online_nruns_31.mat is the model outputs with <ul> <li>cyc.composite.maps.yglo.mean.harvest being the catch field at global peak catch</li> </ul> </li> <li>solublefraction_Mahowald2009_360x180.nc is the Fe deposition field</li> <li> Brahneyetal2015_nitrogenandphosphorus2x2annualdep_360x180.nc is the N deposition field</li> <li>mask_LME.mat is the mask of LME areas</li> <li>ocean_topaz_tracers.timmean.BOATS_grid_fed.nc is the modeled dissolved Fe concentrations in seawater by the TOPAZ model</li> <li>zeu_lee_modis_aqua_average_2002-2019.nc is the euphotic depth field used to compute the nutrient concentrations</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/woa05_nitrate_month.nc">woa05_nitrate_month.nc</a> is the NO3 field used to make the spatial interpolations of the Fe:C stoichiometric ratios.</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/mass_50sizes_boats.mat">mass_50sizes_boats.mat</a> is the mass of each size class of the BOATS model</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/Tables%20S2%20and%20S3.xlsx">Tables S2 and S3.xlsx</a> litterature compilation of values for N and P in fish and zooplankton</li> <li>Galbraith et al (2019) SI.pdf is the supplement to Galbraith et al. (2019) in which the data compilation for the Fe content of fish, zooplankton and phytoplankton can be found.</li> </ul>
Data for "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources"
<p>Supplementary figures and raw data associated with the publication "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources". Data for physiological and NanoSIMS measurements are uploaded as individual sheets/tabs in the .xslx file. </p> <p>"Fig. 1" contains data for physiological measurements (biomass, protein content, and symbiont density) of fed and starved Aiptasia. </p> <p>"Fig. 2" contains data for NanoSIMS measurements for regions of interest from the tissue of fed and starved Aiptasia as well as unlabelled control Aiptasia. </p> <p>The R script contains all code required to repeat the data analysis and plotting.</p> <p> </p>
Data from: The role of fish feces for nutrient cycling on coral reefs
<p>Consumers play an important role in biogeochemical cycles through the consumption and release of essential elements such as carbon (C), nitrogen (N), and phosphorus (P). Indeed, a large proportion of consumed elements are released into the environment in inorganic (i.e., excretion) or organic form (i.e., egestion). On coral reefs, fishes represent the bulk of consumer biomass and thus play a key role in the recycling of nutrients. In recent years, excretion rates have been studied intensively, but less is known about the rate and quality of coral reef fish egestion. In this study, we quantify the elemental contents of fish feces, estimate absorption efficiencies and compare egestion and excretion rates for 51 coral reef fish species. We show that elemental concentrations decrease remarkably little from food to feces. This is due to extremely low absorption efficiencies, resulting in the egestion of large amounts of energy and nutrients. Moreover, we show that while the quality of fish feces varies across trophic guilds, it remains highly variable within trophic guilds. Finally, we demonstrate that the release of N and P through egestion outweighs the amount of nutrients recycled through excretion. Our study highlights the need to incorporate animal egestion into assessments of ecosystem functioning and food web structure.</p>
Data from: The role of fish feces for nutrient cycling on coral reefs
Open the record for dataset details and reuse information.
Data for 'Heat stress destabilizes symbiotic nutrient cycling in corals'
<p>Physiological data (tab 1) and NanoSIMS data (tab 2) associated with publication 'Heat stress destabilizes symbiotic nutrient cycling in corals'. </p>
Data from: Burrowing detritivores regulate nutrient cycling in a desert ecosystem
Nutrient cycling in most terrestrial ecosystems is thought to be controlled by moisture-dependent decomposer activity. In arid ecosystems, plant litter cycling exceeds rates predicted based on precipitation amounts, suggesting that additional factors are involved in these systems. Attempts to reveal these factors have predominantly focused on abiotic degradation, precipitation frequency, soil-litter mixing, and alternative moisture sources. Our aim was to explore an additional hypothesis that macro-detritivores control litter cycling in deserts. We quantified the role different organisms play in clearing plant detritus from the desert surface, using litter-baskets with different mesh sizes that allow selective entry of micro-, meso- or macro-fauna. We also measured soil nutrient concentrations in increasing distances from the burrows of a highly abundant macro-detritivore, the desert isopod Hemilepistus reaumuri, in the field and in laboratory microcosms. Macro-detritivores controlled the clearing of plant litter in our field site. The highest rates of litter removal were measured during the hot and dry summer when isopod activity peaks and microbial activity is minimal. We also found substantial enrichment of inorganic nitrogen and phosphorous in the vicinity of isopod burrows. We conclude that burrowing macro-detritivores are important regulators of litter cycling in this arid ecosystem, providing a plausible general mechanism that explains the unexpectedly high rates of plant-litter cycling in deserts.
Abandoned pastures and restored savannahs have distinct patterns of plant-soil feedback and nutrient cycling compared with native Brazilian savannahs.
<p>Around 40% of the original Brazilian savannah territory is occupied by pastures dominated by fast-growing exotic C4 grasses, which impact ecosystem nutrient cycling. The restoration of these areas depends on the re-establishment of soil processes. We assessed how restoration of abandoned pastures through direct seeding of native species and land-management practices (burning and ploughing) affect soil nutrient cycling dynamics compared to native savannahs. We compared the activity of soil enzymes related to carbon (C), nitrogen (N) and phosphorus (P) cycling, as well as soil microbial biomass and soil chemical properties, such as pH and the concentration of N, P, potassium (K) and soil organic matter, among abandoned pastures, native savannah and restored areas. Abandoned pastures had faster nutrient turnover than native savannah, dominated by slow-growing native species. This pattern was evident from the overall higher biomass-specific enzyme activity in abandoned pastures than in native savannah. Compared with native savannah, restored areas had similar levels of soil enzyme activity, but lower microbial biomass and soil organic matter. Synthesis and application: The low enzyme activity in restored areas was likely related to a reduced soil organic carbon concentration due to practices such as burning and ploughing, rather than plant-soil feedback. The lower immobilization of nutrients in microbial biomass and lower retention of nutrients in restored areas, compared with native savannah, is expected to favour the re-establishment of fast-growing exotic species. Furthermore, the modifications of soil chemical and microbial properties related to abandonment of pastures did not influence restoration outcomes, because land-management practices applied prior to direct seedling had a major impact on the soil microbial community and soil fertility. Therefore, restoration of abandoned pastures should consider a greater focus on restoring soil carbon and nutrient cycling.</p>
Functional-trait based restoration alters nutrient cycling and invasion rates in Hawaiian lowland wet forest
<p>Many degraded ecosystems have altered nutrient dynamics, due to invaders possessing a suite of traits that allow them to both outcompete native species and <span>alter</span> the environment. In ecosystems where invasive species have increased nutrient turnover rates, it can be difficult to reduce nutrient availability. This study examine<span>d</span> whether a functional-trait-based restoration approach<span>, involving</span> the planting of species with conservative nutrient-use traits, can slow rates of nutrient cycling and consequently reduce rates of invasion. We examined a functional trait restoration initiative in a heavily<span>-</span>invaded lowland wet forest site in Hilo, Hawai'i<span>. </span>Native and introduced species were chosen to create four experimental hybrid forest communities, in comparison to the invaded forest, with a factorial design in which communities varied in rates of carbon turnover (slow or moderate<span> [SLOW, MOD]</span>), and in the relationship of species in trait space (redundant or complementary <span>[</span>RED<span>, </span>COMP<span>]</span>). After the first five years, we evaluated community-level outcomes related to nutrient cycling: carbon (C), nitrogen (N), and phosphorus (P) via litterfall, litter decomposition, and also outplant productivity and <span>rates of </span>invasion. We found that: (1) regardless of treatment, the experimental communities had low rates of nutrient cycling through litterfall relative to the invaded reference forest, <span>(2) the MOD communities had greater nutrient release via litterfall than the SLOW communities, (3) introduced species had greater nutrient release than native species </span><span>in</span> <span>the </span><span>two </span><span>MOD experimental communities, and (4) within treatments, </span><span>there was a positive relationship between </span>nutrient levels <span>and</span> outplant basal area<span>, but outplant basal area was negatively associated with</span> rates of invasion. The negative relationships among basal area and weed invasion, particularly for the two COMP treatments, suggest species existing in different parts of trait space may help confer some degree of invasion resistance. The diversification of trait space was facilitated by the use of introduced species; a new concept in Hawaiian forest management. Although challenges remain in endeavors to restore this heavily degraded ecosystem, this study provides evidence that functional trait-based restoration approaches using carefully crafted hybrid communities can reduce rates of nutrient cycling and invasion in order to reach management goals.</p>
Ecological significance of standing dead phytomass: marcescence as a puzzle piece to the nutrient cycle in temperate ecosystems
<ol> <li> <span>The plant economics spectrum (PES) drives nutrient cycling through effects on soil decomposers. However, dead phytomass may remain standing or unshed (marcescent), hardly accessible to decomposers, and be photodegraded. In arid zones, the significant part of marcescent phytomass can be decomposed without touching the ground. In temperate zones, photodegradation of marcescent phytomass is low but prompts important chemical changes, </span>which affect its subsequent decomposability in the soil<span> and alters the surrounding environment. It is unknown, however, how common marcescence is among different taxa and in which habitats, and how it is coordinated by PES traits.</span> </li> <li><span>We sampled standing (marcescent) and lying (shed) dead phytomass from a broad spectrum of 127 herbaceous temperate species in a common garden experiment and related these parameters to PES traits, species ecological preferences, and phylogeny.</span></li> <li><span>Nearly all species (97%) kept their phytomass marcescent. Tall species with a small leaf area and high leaf carbon had a high level of marcescence. Marcescent species also preferred sites affected by severe (but not necessarily frequent) disturbance. The degree of marcescence was considerably conserved in phylogeny.</span></li> <li> <span><em>Synthesis</em>.</span><span> Marcescence extends PES trait effects on ecosystems, particularly in immature habitats, being a common but overlooked phenomenon of the temperate flora. </span> </li> </ol>
Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China
<p>This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912). </p>
Ecological significance of standing dead phytomass: marcescence as a puzzle piece to the nutrient cycle in temperate ecosystems
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.