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237 results for “Soil properties”
Biophysicochemical properties and hyperspectral reflectance values of biocrust and soil samples, Fryxell Basin, McMurdo Dry Valleys, Antarctica (2022)
This data package includes biophysicochemical properties of biocrust and soil samples collected in-situ within the Lake Fryxell basin of the McMurdo Dry Valleys, Antarctica during December 2022 at 64 different terrestrial locations. These parameters include biological (ash-free dry mass, pigment concentration, soil invertebrate counts), physical (gravimetric water content, electrical conductivity, pH), and chemical (inorganic nitrogen, inorganic phosphorous, total nitrogen, soil organic carbon) properties of the surface soil, biocrust, and underlying soil. This package also contains reflectance measurements of individual grab samples of biocrust, soil, and rock collected from each of the field sites, acquired in a laboratory using a hyperspectral spectrometer. Additionally, this package contains parameters derived solely from geospatial data for each of the field sites, including aspect, slope, elevation, gravimetric water content, and snow frequency. These data were used to model habitat suitability of biocrusts in the Fryxell Basin using both in-situ field survey data and geospatial parameters. They aid in our understanding of the ecology of biocrust communities, where they are located throughout the Fryxell basin, and the structure and functioning of these microhabitats as well as improving understanding of the regional carbon budget. These data also highlight the importance of snow patch-associated biocrust communities, which are understudied but likely an important piece of the overall carbon budget in this region.
Biophysicochemical properties, pigment concentrations, and nif gene counts of microbial mats and soils from Taylor and Beacon Valleys, McMurdo Dry Valleys, Antarctica (2019-2020)
This data package includes biophysicochemical properties, pigment concentrations, and nif gene counts from microbial mat and soil samples collected from the McMurdo Dry Valleys of Antarctica during the 2019-20 austral summer. Specifically, data include physicochemical properties of the collected soils (gravimetric water content, pH, electrical conductivity, inorganic nitrogen, inorganic phosphorous, sulfate, chloride, soil organic carbon, and total nitrogen), biological properties of the microbial mats (ash-free dry mass and pigment concentrations – scytonemin, scytonemin-red, myxoxanthophyll, zeaxanthin, chlorophyll-a, chlorophyll-b, β-carotene, canthaxanthin, echinenone), and nif gene counts (overall nif and nifH) of the soils and microbial mats. These data were collected to infer the functioning and nitrogen cycling abilities of microbial mat and soil communities from areas of differing landscape histories and geochemical legacies (Ross and Taylor tills in the Taylor Valley, and Beacon Cirque in Beacon Valley).
Geum and Kobresia soil inorganic and organic property data for Saddle and North of Tvan, 1993.
This study was initiated to examine bulk density and organic matter content differences between soils where Geum (Acomastylis) rossii and Kobresia myosuroides were present. A subset of samples were also measured for total C, N, and P. Paired plots were randomly selected in locations where Kobresia and Geum populations were adjacent to one another. Soil samples were collected from 35 plots, 22 and 13 of which had southerly and northerly aspects, respectively. Soil cores were removed with 3.5-cm interior diameter PVC pipe that was driven into the tundra by use of a rubber mallet. The minimum depth of individual cores was 9 cm, and these depths were recorded at the time of removal (15 July, 19 July, 22 July, and 9 August 1993).
Krummholz island soil inorganic and organic property data for East of Tvan, 1995 - 1996.
Previous work has shown that passage of Engelmann spruce (Picea engelmannii) and subalpine fir (Abies lasiocarpa) tree islands across tundra lowers the soil carbon and nitrogen storage capacity of the top 15cm of soil (A horizon) (Pauker and Seastedt 1996). This study shows that levels of KCl extractable ammonium and percent organic matter were also significantly higher in the A horizon of undisturbed tundra sites compared with soils underneath or immediately adjacent to (windward or leeward) the krummholz. The response of soil KCl extractable NO3- also showed this trend but was not statistically significant. Holtmeier and Broll (1992) suggested that the depletion of organics and nutrients following the passage of tree island may be associated with a reduced clay content. We analyzed a subsample of these soils for cation exchange capacity (CEC) and texture. We did not find significantly lower clay content in soils under or adjacent to krummholz compared with those from undisturbed tundra. In fact, percent clay was greater in krummholz and windward sites than in tundra sites. The percent clay of windward sites was significantly greater in windward soils than either krummholz or tundra soils. Clearly, depletion of organics following the passage of tree islands does not appear to be associated with a depleted clay content. We found that CEC was very highly significantly correlated with percent organic content (using percent organic data only from the subset of soils on which CEC was measured). Therefore, the CEC content of these soils would appear to be strongly associated with the organic content but not with the clay content. Percent soil moisture was significantly higher directly underneath the krummholz compared with the other sites. There was no effect of treatment on pH. We also investigated whether the organic matter lost in association with krummholz colonization (i.e. 1m from the tree) was replenished as tundra vegetation recolonized in the wake of the tree is
Soil inorganic and organic property data for subalpine forest, treeline, and alpine zone, 1999.
This study was initiated to examine the nitrogen content of three montane soils: subalpine, treeline and alpine; and to determine if the differences in soil nitrogen content were attributed to plant community and elevation. Soil organic matter, soil carbon, bulk density, pH and soil moisture were also measured for each site. Soil samples were collected from 64 total plots [22 subalpine,15 treeline and 27 alpine sites]. The subalpine site plots included aspen, fir, lodgepole, spruce and meadow vegetation cover. The treeline site plots included fir, spruce and meadow vegetation cover. The alpine site plots included dry meadow and mesic meadow fertilization (control, N, P, NP) plots. Soil cores were removed with 3.5-cm interior diameter PVC pipe that was driven into the soil by use of a rubber mallet. The minimum depth of individual cores was 10 cm. Cores were taken at each site three times over the period between 29 June 1999 and 29 July 1999.
Baseline soil inorganic and organic property data for Saddle snowfence, 1993.
Soil cores were collected during the construction of the 100+year snowfence on the Niwot Ridge Saddle in the autumn of 1993. Organic matter determinations were made on the samples in January 1994. The samples were also measured for total phosphorus, nitrogen, and carbon. These 1993 samples were representative of the baseline (pre-snowfence) soil conditions.
Krummholz island size, soil inorganic, and organic property data for Saddle, S slope of Niwot Ridge, 1994.
Engelmann spruce (Picea engelmannii) and subalpine fir (Abies lasiocarpa) tree islands modify the characteristics of surface soils in alpine tundra. Soil C content of the approximate A horizon (top 15 cm) of soil was measured during the summer of 1994 on windward, leeward, upslope and downslope sides, and interiors of tree islands on Niwot Ridge, Colorado, USA. A subset of samples from these sites were also used for CHN analysis and were measured for total phosphorus using persulfate digestions and colorimetric measurements. Results indicate significant (p<.0001) reductions of percent of dry mass represented by C in soil and significant (p<.04) declines in absolute C storage among soils on the windward sides of tree islands as compared to the upslope and downslope controls, and a tendency for reduced C on the leeward sides as well. Surface organic matter (O horizon) accumulations averaging 9.6 +/- 1.02 kg/m^2 are found in the interior of tree islands, but this material, in addition to roots, is not stabilized in the A horizons of soil. The movement of tree islands can therefore be regarded as disturbances to soil building processes in alpine tundra. Timberline forest and adjacent tundra patches of similar aspect and slope were also sampled for comparisons of soil C content. Results indicated similar C storage beneath trees and tundra at this lower elevation. The wind-induced movement of tree islands across the tundra creates enhanced snowpack within the trees and on their leeward sides. Shading and moisture conditions of the soil are altered, leading to C deposition and decomposition dynamics which differ from that of unimpacted tundra surface soils. However, at timberline, adjacent tundra lacks the ability to exhibit the enhanced C storage of alpine tundra at higher elevations. Snowpack within trees and adjacent tundra at timberline may be relatively constant such that biophysical factors affecting soil characteristics are relatively unchanged by plant life-form.
Soil chemical and physical property data for Green Lakes Valley, 1986.
Laboratory analyses were performed on soil samples from the Green Lakes Valley in the City of Boulder Watershed in order to characterize the chemical characteristics of the soil resource. The samples were collected during the 1986 excavations that were required during installation of zero-tension soil solution samplers.
Chemico-physical soil properties in Lilium pomponium populations
<p>Chemico-physical soil properties in <em>Lilium pomponium</em> populations. Soil data includes silt (g/kg), clay (g/kg), sand (g/kg), total nitrogen (g/kg), active carbonate (g/kg), total carbonate (g/kg), available extractable Ca (meq/100g), cation exchange capacity (meq/100g), electrical conductivity (1:5, dS.m-1), available extractable P (Olsen method, mg/kg), available extractable Mg (meq/100g), pH, available extractable K (meq/100g), carbon/nitrogen ratio, available extractable Na (meq/100g), organic matter (g/kg). Data of populations are reported in relevé locality data table</p>
Dataset on soil hydraulic properties under contrasted plant covers and agricultural practices
<p>Complete dataset on the temporal variation of soil infiltrability along a homogeneous fluvisol, on bare soil or soil planted with two plant species with contrasted root systems (a Malvaceae with a tap-root system and a Poaceae with a fibrous root system), and impacted by three different management practices (burning, mowing, and chemical weeding). An original protocol, based on specific ring infiltrometers, able to measure the temporal dynamics of soil infiltrability was used. This dispositive takes into account the variability of the measurement across space.</p> <p> </p>
Raw data for the submitted manuscript: Effects of microplastics on enchytraeid multigeneration reproduction and soil physicochemical properties
<p>Survival and reproduction data from multigenerational single species tests involving four types of plastic materials.</p> <p> </p>
Dataset of physical, biological and chemical soil properties from 10 European long-term experiments
<p>This dataset contains all measurements that were conducted within the Workpackage #2 of the SoilX Project (2022-2024). The data contains physical, chemical and biological soil parameters that were measured in ten European long-term field experiments, as well as soil management indicators calculated with the SoilManageR packager for R. Each data table contains different parameters, and they can be linked by the identifying columns (LTE, treatment, depth, block, replicate). Further information can be found in the ReadMe.txt.</p> <pre> </pre>
Radiocarbon and soil properties along the Kalahari moisture gradient in Botswana
<p>This dataset presents radiocarbon data from four sites located in Botswana. The dataset first presents general information about the sites (on the tab "site"), followed by more detailed information (on the tab "profile") about all sampling locations. On the 'layer' tab, information about selected soil properties and the radiocarbon values are shown.</p> <p>The dataset is part of the International Soil Radiocarbon Database (ISRaD) and associated with the following publication: Dintwe et al. (2015) Soil organic C and total N pools in the Kalahari: potential impacts of climate change on C sequestration in savannas, Plant Soil, 396_27-44, doi: 0.1007/s11104-014-2292-5.</p> <p> </p>
Data from: Interannual radial growth response of Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) to severe droughts: an analysis along a gradient of soil properties and rooting characteristics
<p>Dataset related to the publication: „Interannual radial growth response of Douglas-fir (<em>Pseudotsuga menziesii</em> (Mirb.) Franco) to severe droughts: an analysis along a gradient of soil properties and rooting characteristics”</p> <p>Information on the data and the tree species_site_key used can be found in the attached Read me file.</p>
Data from: The PDI model system for parameterizing soil hydraulic properties
<p>The PDI ("Peters-Durner-Iden") model system represents a robust framework for parameterizing soil hydraulic properties, i.e. the water retention curve and the hydraulic conductivity curve, across the entire soil moisture spectrum. This model accounts for water retention and hydraulic conductivity in completely and partially-filled pores, including adsorption and film-flow. The model was developed in stages and a comprehensive overview of the model development and the model equations is provided in Peters et al. (2024). In this repository, we provide a Python file named "pdi.py" which can be used to compute the various submodels (PDI-VG, PDI-KOS, PDI-FX, ...) of the PDI model system. One MS Excel file is provided for easy access to one PDI model, the PDI-VG. The PYTHON functions contained in "pdi.py" can be used to calculate the water retention curve, the unsaturated hydraulic conductivity curve, the specific water capacity function, and the soil water diffusivity function. In addition, we provide five python scripts which illustrate how to call the various PDI functions in different contexts. Notably, "pdi.py" incorporates a utility function, 'export_hydrus_materin', which generates an ASCII file named "MATER.IN". This file serves as input for simulations with Hydrus-1D and Hydrus-2D3D, offering seamless integration with these simulation platforms. It's important to emphasize that the provided Python scripts and accompanying documentation are closely aligned with the research article by Peters et al. (2024). To streamline accessibility, the repository refrains from redundantly restating the theory or equations already detailed in the referenced publication.</p>
Figure 3 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 3. Dynamics of the soil arbuscular mycorrhizal fungal spore density within Desmodium triflorum coverage levels and seasons.
Figure 6 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 6. Conceptual framework demonstrating possible mechanisms of soil arbuscular mycorrhizal fungi (AMF) during the spreading process of Desmodium triflorum in the Zoysia tenuifolia lawn. Numbers 1, 2, 3, and 4 indicate different spreading stages of the invasive plant D. triflorum. Corresponding mycorrhizal structures were shown as the four microscopic views. Light-green and medium-yellow circles indicate AM fungal spores predominantly produced by the root mycorrhizal structures of Z. tenuifolia and D. triflorum, respectively. Medium-green and dark-yellow lines indicate the life cycle of spores in Z. tenuifolia plants and in D. triflorum plants, respectively. The AM fungi might influence the spread of D. triflorum by the following steps: (1) the early stage of the lawn's development with only Z. tenuifolia growing but without D. triflorum present. This occurs at the very beginning of the lawn establishment, and the AM fungal spores that previously existed in the lawn soil first infected the fine roots of Z. tenuifolia and completed the life cycle on their own. (2) The early spreading stage of D. triflorum (level 1). The roots of the two plants come into contact with each other, inducing the external hyphae that originally grow closely on the Z. tenuifolia roots to infect the roots of D. triflorum. The difference between the mycorrhizal infections of the two host plants contributes to higher root mycorrhizal colonizations of D. triflorum compared with Z.tenuifolia. However, at this stage,D. triflorum is not as competitive as Z. tenuifolia in the lawn, although it has advantages in terms of mycorrhizal infections. Therefore, the soil AM fungal spores are still predominantly produced by the mycorrhizal structures of the AMF-infected Z. tenuifolia roots. (3) The intermediate spreading stage of D. triflorum (levels 2 and 3). Desmodium triflorum continues to spread in the lawn. The contact of the two plants becomes more frequent and further induces a much closer relationship between the AM infections of the two plants. The increased D. triflorum plants in the lawn and the advantage of D. triflorum in root mycorrhizal infections facilitate the contribution of the mycorrhizal structures of the D. triflorum roots to sporulation. Thus, in this stage, the soil AM fungal spores were produced by the mycorrhizal structures of both plants, thereby inducing insignificant correlations between the spore densities and the root colonizations of either Z. tenuifolia or D. triflorum. (4) The late spreading stage of D. triflorum (levels 4 and 5). Desmodium triflorum is dominant in the lawn.The large numbers of D. triflorum plants and the AM infection advantage of D. triflorum facilitate AMF sporulation in the soil, thereby inducing significant correlations between the spore densities and the root colonizations of D. triflorum. At the different spreading stages of D. triflorum, the soil AM fungal communities also change as a result of the changed contributions of the AMF-infected host plants to the sporulation.
Figure 5 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 5. The relative abundance and community composition at the family (A) and species levels (B) of arbuscular mycorrhizal fungi (AMF) in soils of different Desmodium triflorum coverage levels.
Figure 2 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 2. Dynamics of the total, hyphal, and vesicular colonizations of Zoysia tenuifolia and Desmodium triflorum among different D. triflorum coverage levels and seasons. "Season," "Coverage," and "Species" indicate ANOVA results of each indicator among seasons and D. triflorum coverage levels and between the two plants, respectively.
Figure 4 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 4. Correlations among the root mycorrhizal colonizations, arbuscular mycorrhizal fungal spore densities ("AMF spore density"), and soil properties in different coverage levels of Desmodium triflorum. ZTC, ZHC, and ZVC in light-green circles indicate the total colonization (TC), hyphal colonization (HC), and vesicular colonization (VC) of Zoysia tenuifolia, respectively. DTC, DHC, and DVC in light-red circles indicate the TC, HC, and VC of D. triflorum, respectively. Green lines and green-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Red lines and red-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Dark-green double arrows and dark-green numbers indicate the correlations between the colonizations of Z. tenuifolia and those of D. triflorum and corresponding correlation coefficients, respectively. Light-blue double arrows and light-blue numbers indicate the correlations between the spore densities and soil properties/root colonizations and corresponding correlation coefficients,respectively. Darkyellow double arrows and dark-yellow numbers indicate the correlations between the soil properties and root colonizations and corresponding correlation coefficients, respectively. Correlation is significant at: *P <0.05; **P <0.01; ***P <0.001. The minus sign indicates a negative correlation. Insignificant correlations are not shown.
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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
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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
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