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133 results for “Soil sampling”
Data for "Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China"
<p>Here are the data for "<span>Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China</span>", using the format of"excel".</p>
Methyl bromide and methyl chloride fluxes from soil and seawater samples under different treatment
<p>Methyl bromide (CH<sub>3</sub>Br) and methyl chloride (CH<sub>3</sub>Cl) are major carriers of atmospheric bromine and chlorine, respectively, which can catalyze stratospheric ozone depletion. However, in our current understanding, there are missing sources associated with these two species. Here we investigated the effect of copper(II) on CH<sub>3</sub>Br and CH<sub>3</sub>Cl production from soil, seawater and model organic compounds: catechol (benzene-1,2-diol) and guaiacol (2-methoxyphenol). This work has been accepted to publish in Nature Communications with open access, entitled as "Application of copper(II)-based chemicals induces CH<sub>3</sub>Br and CH<sub>3</sub>Cl emissions from soil and seawater". On Zenodo, we are providing the source data for figure production.</p>
FIG. 1 in The termites of the Mayombe Forest Reserve, Congo (Brazzaville): transect sampling reveals an extremely high diversity of ground-nesting soil feeders
FIG. 1. Proportions of feeding groups (a), nesting groups (b) and taxonomic groups (c) in MBR and MFR. Taxonomic groupings: m, Macrotermitinae; an, Anoplotermes-group Apicotermitinae; ap, Apicotermes-group Apicotermitinae; am, Amitermes-group; te, Termes-group Termitinae; cu, Cubitermes-group Termitinae; nas, Nasutitermes-group Nasutitermitinae; sub, Subulitermes -group Nasutitermitinae. The Foraminitermes- group Termitinae (one species in both regions) and Rhinotermitidae (one species in MFR only) have been excluded for plot clarity. Other functional groupings are as in table 1.
Description of suspended sediment and soil samples database: measured properties associated metadata
<p>From the perspective of open science, this dataset includes data and metadata of soil and suspended sediment samples collected across three catchments in Martinique (French West Indies) : Galion river catchment, Lézarde river catchment and Salée river catchment. During one year (June 2022 - July 2023), suspended sediment samplers were installed in the three river networks. In order to determine the signature of the potential erosion sources, soil samples were collected across the three catchments. In order to quantify suspended sediment source contributions and chlordecone contamination of suspended matter transiting in river, a set of different properties were measured in soil and suspended sediment samples: radionuclide activities, carbon and nitrogen isotopes, elemental geochemistry, visible colorimetry, chlordecone and its degradation products concentrations</p>
Improved global soil salinity and sodicity mapping through Box-Cox-based sample transformation and feature optimization
<p>We introduce a novel framework that leverages the Box-Cox transformation to address the skewed distribution of samples and incorporates additional critical predictors to enhance the accuracy of soil salinity (measured as electrical conductivity of the saturated soil extract, ECe) and sodicity (measured as exchangeable sodium percentage, ESP) estimates.</p> <p>We provide high-resolution (1 km × 1 km) global maps of soil salinity and sodicity from 1980 to 2022 in GeoTIFF file format for each year.</p> <p>Note: the scale factor for ECe and ESP maps is 0.001</p>
Effects of Gamma Irradiation on Soil Samples
<p>Linear and mass attenuation coefficients are widely used in the study of gamma rays, calculation of photon penetration and energy deposition in biological shielding, in industry, agriculture and other materials. There are various reports on the measurements of these quantities by scientists.</p> <p>Singh et.al (1991) measured energy absorption coefficients for gamma rays in different soil samples by applying Bradley et. al .(1989) technique. Jahagirdar (1992) determined narrow beam attenuation coefficients of 320 keV photons, emitted from 51Cl radioisotope in various high Z materials such as (CH3COO)2.Pb.3H2O; Pb(NO3); Na2WO4.2H2O by using NaI (Tl) spectrometer system coupled to 1 k multichannel analyzer and results are compared with tabulations of Hubbel (1992). The self absorption factors were determined by Yu Cagin et.al.(1990).</p> <p>So far, evaluation of both types of coefficient (attenuation and energy absorption) for gamma rays has been performed for materials in solid and crystal forms. Mixture rule for theoretical calculation of absorption coefficients developed for elements by Hubbell (1982).</p> <p>Dr. M.T. Teli and Dr. L. M. Chaudhari (1994) developed mixture rule for liquid and studied the linear absorption coefficient of various gamma radiation by dilute solutions of various salts such as sodium chloride, potassium chloride, ammonium chloride and aluminium chloride, etc. at various concentrations by using gamma energies.</p> <p>In view of the importance of the study of gamma attenuation properties of materials and its various applications in science, technology, agriculture and human health, we have embarked on study of the absorption properties of soil samples containing various Chemical and Physical properties composed of various elements.</p> <p>By using the previous techniques, we explore the validity of the expected exponential absorption law for gamma radiation in soil samples collected from different areas of Nanded, Latur, Osmanabad District from Maharashtra and Bidar District from Karnataka of India. We also studied the behavior of soil density with gamma attenuation coefficient at various energies.</p>
Soil_Sample_07_14_23
<p>Soil sample collected by EAOP at UC Berkeley</p>
Analysis of 226Ra content and 222Rn exhalation rates in soil samples from Wukro, Tigray, using SSNTDs
Open the record for dataset details and reuse information.
Data from: Taxonomic survey of Agaricomycetes (Fungi: Basidiomycota) in Ontario tallgrass prairies determined by fruiting body and soil rDNA sampling
Open the record for dataset details and reuse information.
Deep core soil samples from KBS LTER Scaleup fields at the Kellogg Biological Station, Hickory Corners, MI (2010 to 2010)
Dataset Abstract This dataset contains soil deep core data from Kravchenko, A. N., S. S. Snapp, and G. P. Robertson. 2017. Field-scale experiments reveal persistent yield gaps in low-input and organic cropping systems. Proceedings of the National Academy of Sciences USA 114:926-931. https://doi.org/10.1073/pnas.1612311114 Additional data at https://doi.org/10.5061/dryad.gh90f5f original data source http://lter.kbs.msu.edu/datasets/171
Macrosystems Gigante Soil Sample Data on N, P, K and Micronutrient Treated Plots 16S rRNA Resampled
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the Gigante Peninsula plots in Panama. Prior to macrosystems collection, these plots had been fertilized with N, P, K, and micronutrients for 14 years. This data represents abundance of 16S rRNA genes in soil samples at Gigante processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Gigante Soil Sample Data on N, P, K and Micronutrient Treated Plots - ITS Resampled
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the Gigante Peninsula plots in Panama. Prior to macrosystems collection, these plots had been fertilized with N, P, K, and micronutrients for 14 years. This data represents abundance of ITS (fungi) genes in soil samples at Gigante processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Soil properties and N-cycling community data for 324 samples
<p>Soil microbial communities, key players of many crucial ecosystem functions, are prone to degradation due to intensified environmental perturbations. However, few ecological concepts and practices have been developed for rescuing these degraded microbial communities. Here, we carried out a pot experiment (totally 324 pots) with or without arbuscular mycorrhizal fungi (AMF) inoculation and at three levels (one, three and six species) of plant diversity to disentangle how the AMF and vegetation rescue the soil nitrogen (N) -cycling microbial loop. Our results provide strong evidence that AMF inoculation improved the restoration of soil N-cycling microbial communities. This improved restoration is related to the role of AMF in enhancing interactions within the N-cycling microbial loop. Furthermore, increased plant diversity strengthened the role of AMF in rescuing degraded N-cycling microbial communities. Our findings provide novel insights into the roles of AMF and plant diversity in facilitating the rescue of microbial communities in degraded terrestrial ecosystems.</p>
Supplementary material 1 from: Clasen LA, Detheridge AP, Scullion J, Griffith GW (2020) Soil stabilisation for DNA metabarcoding of plants and fungi. Implications for sampling at remote locations or via third-parties. Metabarcoding and Metagenomics 4: e58365. https://doi.org/10.3897/mbmg.4.58365
Combined Supplemntary Data Files 1–8
Data from: Soil sampling and isolation of extracellular DNA from large amount of starting material suitable for metabarcoding studies
DNA metabarcoding corresponds to the DNA-based identification of multiple species from a single complex and degraded environmental sample. We developed new sampling and extraction protocols suitable for DNA metabarcoding analyses, targeting soil extracellular DNA. The proposed sampling protocol has been designed to reduce as much as possible the influence of the local heterogeneity by processing large amount of soil, resulting from the mixing of many different cores. The DNA extraction is based on the use of saturated phosphate buffer. The sampling and extraction protocols were validated first by analyzing plant DNA from a set of 12 plots corresponding to four plant communities in alpine meadows, and second by conducting pilot experiments on fungi and earthworms. The results of the validation experiments clearly demonstrated that sound biological information can be retrieved when following these sampling and extraction procedures. Such a protocol can be implemented at any time of the year without any preliminary knowledge of specific types of organisms during the sampling. It offers the opportunity to analyze all groups of organisms using a single sampling/extraction procedure and opens the possibility to fully standardize biodiversity surveys.
Plastic additive analysis - Soil samples collected within the ESS frame
<p>Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting plastic additive determination in soils collected within the frame of the European Spatial Survey. The soil samples were collected from Germany, Czech Republic, Italy, Spain, Greece, Norway & Finland. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods.</p>
Fig. 2 in A report of six unrecorded bacterial species isolated from soil samples in Korea
Fig. 2. Neighbor-joining phylogentic tree based on 16S rRNA gene sequences of the isolates in this study and their relatives of the genus Pseudomonas. Strain: SBS2-5, SRC3-8, SRC1-1, SRC1-3, SRC3-1. Bootstrap values (>50%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 substitutions per nucleotide position.
Figure 3 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 3. Difference in ant community compositions between sampling methods (A) and habitat (B) using ANOSIM (999 randomisations).
Figure 2 from: Tuf IH, Chmelík V, Dobroruka I, Hábová L, Hudcová P, Šipoš J, Stašiov S (2015) Hay-bait traps are a useful tool for sampling of soil dwelling millipedes and centipedes. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 197-207. https://doi.org/10.3897/zookeys.510.9020
Figure 2 - Changes in myriapod communities inside hay-bait traps installed in three biotopes during the 12 week trapping period. Qualitative as well as quantitative parameters are shown for these communities. Open dots are observed parameters, whereas solid lines represent models of succession including standard errors (green shading).
Figure 1 from: Tuf IH, Chmelík V, Dobroruka I, Hábová L, Hudcová P, Šipoš J, Stašiov S (2015) Hay-bait traps are a useful tool for sampling of soil dwelling millipedes and centipedes. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 197-207. https://doi.org/10.3897/zookeys.510.9020
Figure 1 - Rarefactions of estimated species richness (i.e. number of species) in increasing size of random samples (i.e. number of individuals), comparison of effectiveness of sampling by individual methods at different sites. Vertical lines represent standard errors.
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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.