Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Different cultivation histories, soil layer raw data

PROVIDER: PRJNA1254319 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR33264300_1.fastq.gz	Fastqsanger.gz
	SRR33264300_2.fastq.gz	Fastqsanger.gz
	SRR33264301_1.fastq.gz	Fastqsanger.gz
	SRR33264301_2.fastq.gz	Fastqsanger.gz
	SRR33264302_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 120

Similar Datasets

Microbial communities of vineyard BRO11-BRO12 soils (GeoChip)

Project description:In this work, we used a functional gene microarray approach (GeoChip) to assess the soil microbial community functional potential related to the different wine quality. In order to minimize the soil variability, this work was conducted at a “within-vineyard” scale, comparing two similar soils (BRO11 and BRO12) previously identified with respect to pedological and hydrological properties within a single vineyard in Central Tuscany and that yielded highly contrasting wine quality upon cultivation of the same Sangiovese cultivar

2020-03-04 | GSE146289 | GEO

Methanotrophic community microarray

Project description:Transcriptional profiling of methanotrophic bacteria (pmoA gene) in methane oxidation biocover soil by depth Three-different depth condition in methane oxidation biocover soil: top, middle and botton layer soil: genomic DNA extract. Three replicate per array.

2013-09-28 | E-GEOD-51235 | biostudies-arrayexpress

Bulk RNA sequencing data of rice roots protoplasted for 2.5 hours and 3 hours, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions

Project description:We report raw bulk RNA sequencing data rice roots (X.kitaake) protoplasted for 2.5 hours and 3 hours to eliminate the effects of protoplasting duration on our scRNA-seq analysis, as well as rice roots grown in gel, non-compacted soil and compacted soil conditions to verify our findsing with scRNA-seq studies

2024-12-08 | GSE283428 | GEO

WGBS-seq, CUTANDRUN, ATAC-seq of urothelial stem cells isolated from Juvenile Naïve C3H/HeN mice

Project description:To study epigenetic changes in mouse bladder urothelial cells with different infection histories, urothelial stem cells (USCs) isolated from C3H/HeN mice with different infection histories (Adult Naive, Resolved, and Sensitized) were used to perform WGBS , ATAC, and CUT&RUN for comparison.

2023-08-21 | GSE212094 | GEO

Differences in major bacterial taxa in three high Arctic soils lead to different CO2 production rates

Project description:The melting of permafrost and its potential impact on greenhouse gas emissions is a major concern in the context of global warming. The fate of the carbon trapped in permafrost will largely depend on soil physico-chemical characteristics, among which are the quality and quantity of organic matter, pH and water content, and on microbial community composition. In this study, we used microarrays and real-time PCR (qPCR) targeting 16S rRNA genes to characterize the bacterial communities in three different soil types representative of various Arctic settings. The microbiological data were linked to soil physico-chemical characteristics and CO2 production rates. Microarray results indicated that soil characteristics, and especially the soil pH, were important parameters in structuring the bacterial communities at the genera/species levels. Shifts in community structure were also visible at the phyla/class levels, with the soil CO2 production rate being positively correlated to the relative abundance of the Alphaproteobacteria, Bacteroidetes, and Betaproteobacteria. These results indicate that CO2 production in Arctic soils does not only depend on the environmental conditions, but also on the presence of specific groups of bacteria that have the capacity to actively degrade soil carbon. Three different soil types from the Canadian high Arctic were sampled at two depths within the active layer of soil and at two sampling dates (winter and summer conditions), for a total of 20 samples.

2011-01-01 | E-GEOD-24800 | biostudies-arrayexpress

Single-cell RNA-seq of Kitaake rice roots grown in gel, and non-compacted soil conditions

Project description:We report both raw and processed scRNA-seq profiling reveals how root tissues adapt to soil conditions and compaction stress

2024-02-01 | GSE251706 | GEO

Project description:Different culture history, soil microbial raw data

| PRJNA1085896 | ENA

Project description:Different culture history, soil microbial raw data

| PRJNA1085977 | ENA

Prospective Collection of PillCam SB3 Videos and Raw Data Files for Future Developments (SODA)

Project description:Observational, Multicenter, Post-market, Minimal risk, Prospective data collection of PillCam SB3 videos (including PillCam reports) and raw data files and optional collection of Eneteroscopy reports

| 2291850 | ecrin-mdr-crc

rhizosphere metagenome

Project description:Microbial diversity in rhizosphere soil (16S RNA sequencing) from different soil histories and plant species

| PRJNA384147 | ENA