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.
179
datasets available to search
ShareScore release 0.9.0
Dataset results
179 results for “Rhizosphere”
Extracellular Enzyme Activity in Rhizosphere Soil at Harvard Forest and Pisgah State Forest 2010
The exudation of carbon (C) by tree roots stimulates microbial activity and the production of extracellular enzymes in the rhizosphere. Here, we investigated whether the strength of rhizosphere processes differed between temperate forest trees that vary in soil organic matter (SOM) chemistry and associate with either ectomycorrhizal (ECM) or arbuscular mycorrhizal (AM) fungi. We measured rates of microbial and extracellular enzyme activity, and nitrogen (N) availability in samples of rhizosphere and bulk soil influenced by four temperate forest tree species (i.e., to estimate a rhizosphere effect). The magnitude of the rhizosphere effects could not be easily characterized by mycorrhizal associations or SOM chemistry. Ash had the lowest rhizosphere effects and beech had the highest rhizosphere effects, representing one AM and one ECM species, respectively. Hemlock and sugar maple had equivalent rhizosphere effects on enzyme activity. However, the form of N produced in the rhizosphere varied with mycorrhizal association. Enhanced enzyme activity primarily increased amino acid availability in ECM rhizospheres and increased inorganic N availability in AM rhizospheres. These results show that the exudation of C by roots can enhance extracellular enzyme activity and soil-N cycling. This work suggests that global changes that alter belowground C allocation have the potential to impact the form and amount of N to support primary production in ECM and AM stands.
qPCR raw datasets on the assessments of cover crop monocultures and mixtures improving the rhizosphere bacterial abundance and functionality through rerooting
<p>Quantitative PCR (qPCR) raw data includes the source data that corresponds to the the counts of 16S rRNA gene copies per gram of soil for different variations, as discussed in the research article - "Cover crop monocultures and mixtures improve the rhizosphere bacterial abundance and functionality through rerooting". The copy number of the 16S rRNA gene per gram of soil was quantified by SYBR® Green-based qPCR using a 7500 Fast Real-Time PCR System (Applied Biosystems™, Thermo Fisher Scientific, Waltham, MA, USA). Aliquots of the same DNA extract utilized in amplicon sequencing were used in qPCR. Dilutions of template DNA were used to compensate for the effect of PCR inhibitors in the samples. Each sample was analyzed in triplicate. A PCR amplicon of the <i>Escherichia coli</i> V3 region was used as standard. Each reaction of 20 µL contained 1 µL of template DNA, the forward primer 341F (Muyzer et al., 1993), the reverse primer 518R (Muyzer et al., 1993), and Luna® Universal qPCR Master Mix (NEB). Reaction conditions were an initial denaturation for 1 min at 95 °C, followed by 40 cycles of denaturation at 95 °C for 15 s and extension at 60 °C for 30 s. The melting curve was recorded in the temperature range of 60 °C to 95 °C. The 16S rRNA gene copy numbers per gram of soil were calculated using the standard curve method and then normalized against the standard (Adelowo et al., 2018). The average efficiency value was 100.77 ± 3.15 %. The absolute copy numbers for each bacterial phylum were calculated by multiplying the qPCR values by the relative abundance values in percent obtained from the 16S rRNA gene sequencing analyses.</p>
Dataset Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial Pseudomonas in the wheat rhizosphere
<p>This dataset is related to the paper "<strong>Changes in structure and assembly of a species-rich soil natural community with contrasting nutrient availability upon establishment of a plant-beneficial <em>Pseudomonas </em>in the wheat rhizosphere</strong>" (Garrido-Sanz et al., 2023, doi: 10.1186/s40168-023-01660-5) and contains the data obtained from bacterial competition asays and plant-growth measurements.</p> <p>Sequencing data used in this study has been deposited in the NCBI Sequence Read Archive (RSA) under the BioProject accession number <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA948847">PRJNA948847</a>.</p> <p>The R script used to analyze the data generated in the paper is available at <a href="https://github.com/dgarrs/Pprotegens_proliferation_NatComs">GitHub </a>and <a href="https://doi.org/10.5281/zenodo.8322086">Zenodo</a>.</p>
Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere nitrogen mineralization potential at the Jornada Basin LTER site in 1987
This data package contains data on soil nitrogen mineralization potential in the rhizosphere of fluffgrass (Dasyochloa pulchella) plants from 1987. This study was conducted at the Chihuahuan Desert Rangeland Research Center to test how watering, and changing densities of soil microarthropods and nematodes, impacts fluffgrass growth and nutrient cycling. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments:1) Chlordane (to exclude microarthropods), 2) Chlordane and water, 3) Water, and 4) Control. Three randomly located subsamples were taken from each plot and consisted of the fluff grass plant, a 10 cm in diameter and 15 cm deep soil core centered on each plant. Samples were incubated for 0, 2, 4, or 8 weeks. This data set contains information on the incubation time, soil nitrate (NO3-), soil ammonium (NH4+), and soil water content for each subsample. This data were collected in May 1987 and the study is complete.
Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere nitrate (NO3) at the Jornada Basin LTER, 1986-1987
This data package contains data on nitrogen availability (as nitrate, NO3-), measured with ion exchange resin bags, in fluffgrass (Dasyochloa pulchella) rhizosphere soil from 1986-1987. This study was conducted at the Chihuahuan Desert Rangeland Research Center to test how watering, and changing densities of soil microarthropods and nematodes, impacts fluffgrass growth and nutrient cycling. An ion exchange resin bag technique (Binkley 1984, Lajtha 1988) was used to determine nitrate availability. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments:1) Chlordane (to exclude microarthropods), 2) Chlordane and water, 3) Water, and 4) Control. Ten anion exchange bags were placed in the rhizosphere of a fluffgrass plant in each plot. Bags were left in the field 3 months, collected, brought to the lab and analyzed for available nitrate (NO3-) using an automated cadmium reduction procedure. The data table contains bag collection date, treatment, and NO3- (mg/kg) concentration. This study is complete.
Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere ammonium (NH4) at the Jornada Basin LTER, 1986-1987
This data package contains data on nitrogen availability (as ammonium, NH4+), measured with ion exchange resin bags, in fluffgrass (Dasyochloa pulchella) rhizosphere soil from 1986-1987. This study was conducted at the Chihuahuan Desert Rangeland Research Center to test how watering, and changing densities of soil microarthropods and nematodes, impacts fluffgrass growth and nutrient cycling. An ion exchange resin bag technique (Binkley 1984, Lajtha 1988) was used to determine ammonium availability. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments:1) Chlordane (to exclude microarthropods), 2) Chlordane and water, 3) Water, and 4) Control. Two cation exchange bags were placed in the rhizosphere of a fluffgrass plant in each plot. Bags were left in the field 3 months, collected, brought to the lab and analyzed for available ammonium (NH4+) using a salicylate procedure. The data table contains bag collection date, treatment, and NH4+ (mg/kg) concentration. This study is complete.
Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere total soil nitrogen at the Jornada Basin, 1986-1987
This data package contains data on soil nitrogen content in the rhizosphere of fluff grass (Dasyochloa pulchella) plants collected from 1986-1987 at the Jornada Basin LTER site. The purpose of this study was to test how watering, and changing densities of soil microarthropods and nematodes, results in changes in fluff grass rhizosphere total nitrogen. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments: 1) Chlordane to exclude microarthropods, 2) Chlordane and water, 3) Water, and 4) Control. Every three months from June 1986 to January 1987, randomly selected fluff grass plants were harvested from each plot and rhizosphere soil samples were collected for total nitrogen digestion analysis. This data set consists of sampling date, treatment, subsample number, and total nitrogen (mg/kg). This study was completed in January 1987.
Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea
<p>This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include: </p> <ol> <li>Dissolved organic carbon concentrations</li> <li>The percent of dissolve organic matter composed of polyphenols</li> <li>Porewater sugar concentrations</li> <li>Sediment oxygen concentrations</li> <li>Sediment incubation results</li> </ol> <p>Data was connected primarily from underneath a seagrass meadow in SantAndra Bay, Elba, Italy (42.808304,10.142891). However, additional sugar concentrations are also obtained from seagrass meadows in Belize and Germany. </p> <p> </p> <p> </p> <p> </p> <p>for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a <em>Posidonia oceanica</em> seagrass meadow in SantAndra Bay, Italy. </p>
Data from: The mechanism of promoting rhizosphere nutrient turnover for arbuscular mycorrhizal fungi attribute to recruited functional bacterial assembly
<p>Symbiosis with arbuscular mycorrhizal (AM) fungi improves plant nutrient capture from the soil, yet there is limited knowledge about the diversity, structure, functioning, and assembly processes of AM fungi-related microbial communities. Here, 16S rRNA gene sequencing and metagenomic sequencing were used to detect bacteria in the rhizosphere of <em>Lotus japonicus</em> inoculated with and without AM fungi, and the <em>L. japonicus</em> mutant <em>ljcbx</em> (defective in symbiosis) inoculated with AM fungi in southern grassland soil. Our results show that AM symbiosis significantly increased bacterial diversity and promoted deterministic processes of bacterial community construction, suggesting that mycorrhizal symbiosis resulted in the directional enrichment of bacterial communities and established a stable rhizosphere bacterial community. AM fungi promoted the enrichment of nine bacteria, including <em>Ohtaekwangia</em>, <em>Niastella</em>, <em>Gemmatimonas</em>, <em>Devosia</em>, <em>Sphingomonas</em>, <em>Novosphingobium</em>, <em>Opitutus</em>, <em>Lysobacter</em>, <em>Brevundimonas</em>, which are positively correlated with NPK-related parameters. Through a functional identification experiment, we found that six of these genera, including <em>Brevundimonas</em>, <em>Lysobacter</em>, <em>Ohtaekwangia</em>, <em>Sphingomonas</em>, <em>Devosia</em>, and <em>Gemmatimonas</em>, demonstrated the ability to mineralize organophosphate and dissolve inorganic phosphorus, nitrogen, and potassium. Our study revealed that AM fungi can regulate rhizosphere bacterial community assembly and attract specific rhizosphere bacteria to promote soil nutrient turnover in southern grasslands.</p>
Biom files of bacterial rhizosphere communities from two pioneer species, Brachystegia boehmii and B. spiciformis
<p>In this repository, you will find a mapping file of all samples and a biom table with all operational taxonomy units allowing the analyses of the bacterial rhizosphere communities.</p>
Figure 5 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 5. Non-metric multidimensional ordering (NMDS) of tree species treated with herbicides and control was performed for all analyzed variables of the tree species.
Figure 1 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 1. Percentage of total dry mass in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 18.3%.
Figure 3 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 3. Spore count percentage in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 10.96%.
Figure 4 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 4. Percentage of basal soil respiration in relation to the control treatment of seedlings of forest tree species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 11.63%.
Figure 2 in Arbuscular mycorrhizal fungi activity in the rhizosphere of tree seedlings subjected to residual herbicides
Figure 2. Percentage of rhizospheric colonization by mycorrhizae in relation to the control treatment of seedlings of forest trees species subjected to the herbicides atrazine and sulfentrazone via sub-irrigation. Averages followed by the same lowercase letter do not differ by Tukey's test at 5% significance for the herbicidal factor. Means followed by the same capital letter do not differ according to the Scott-Knott grouping criterion at 5% significance for the species. CV (Coefficient of variation) = 8.93%.
Data from: Rhizosphere bacterial community composition depends on plant species identity and soil legacy effects
<p>This record contains supplementary information for the article "Rhizosphere bacterial community composition depends on plant diversity legacy in soil and plant species identity".</p> <p><strong>Supplemental Table S1.</strong> The table contains the annotation for all the samples sequenced and analyzed.</p> <p><strong>Supplemental Table S2. </strong>The table contains all primer sequences used in the study.</p> <p><strong>Supplemental Table S3.</strong> The zip-file contains a table with the taxonomic annotation of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S4. </strong> The zip-file contains a table with sequence counts of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S5. </strong>The workbook contains a sheet with the number of operational taxonomic units (OTUs) exhibiting differential abundance in any of the contrasts tested in this study. Note that “down/up” indicates whether the OTU was less (“down”) or more (“up”) abundant in the first group of the contrast. For example, given the contrast “PH_mix_vs_mon_”, “down” corresponds to higher abundance in the pots from the monoculture plant history. Conversely, “up” refers to higher abundance in the pots from the mixed culture plant history. In addition, the workbook contains one sheet per contrast with the logBaseMean (log2 of the average normalized abundance across all samples), the logFC (log2 of the fold-change), the <em>P</em>-value, and the adjusted <em>P</em>-value (FDR). Only OTUs with a <em>P</em>-value <= 0.05 or an adjusted <em>P</em>-value (FDR) <= 0.1 are given.</p> <p><strong>Supplemental Table S6. </strong>The table contains the number of bacterial OTUs annotated with a given bacterial phylum.</p> <p><strong>Supplemental Table S7. </strong>The table contains all phyla tested for enrichment/depletion in the set of OTUs with an increased abundance in monoculture and mixed culture soils respectively. “Total counts (all OTUs)” corresponds to the total number of all OTUs annotated with a given phyla (reference set). “Observed” corresponds to the number of OTUs annotated with a given phyla in the set OTUs with increased abundance in monoculture/mixed culture soils (test set). "Expected" gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set.</p> <p><strong>Supplemental File S1.</strong> The zip-file contains a fasta file with the 10'205 OTU sequences identified in the study.</p> <p> </p> <p> </p>
Fig. 4. A in Testate Amoebae Communities in the Rhizosphere of Rhododendron ponticum (Ericaceae) in an Evergreen Broadleaf Forest in Southern Spain
Fig. 4. A combined SEM/light microscopy picture of Trigonopyxis arcula. This testate amoeba species was proposed as a possible indicator of Rhododendron-affected soils by Sutton and Wilkinson (2007). Some hyphae of soil fungi are attached to the shell of the SEM-depicted specimen. Bars: 50 µm.
Fig. 1. A in Testate Amoebae Communities in the Rhizosphere of Rhododendron ponticum (Ericaceae) in an Evergreen Broadleaf Forest in Southern Spain
Fig. 1. A photo showing characteristics of the first sampling site in Puerto de Galiz, Spain (Valley 1; for details see Materials and Methods).
Fig. 2. A in Testate Amoebae Communities in the Rhizosphere of Rhododendron ponticum (Ericaceae) in an Evergreen Broadleaf Forest in Southern Spain
Fig. 2. A photo showing characteristics of the second sampling site in Puerto de Galiz, Spain (Valley 2; for details see Materials and Methods). The Rhododendron cover at the UK sites was much denser than at these Spanish sites.
Figure 4 in Isolation and characterization of Klebsiella oxytoca from the rhizosphere of Lotus corniculatus and its biostimulating features
Figure 4. Enhancement of the root and shoot lengths of barley when inoculated with LCK121. *Indicates a significant effect (P value <0.05).
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.