Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Viral metagenomes from soil water in Luxembourg

PROVIDER: PRJNA823538 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18636061_1.fastq.gz	Fastqsanger.gz
	SRR18636061_2.fastq.gz	Fastqsanger.gz
	SRR18636062_1.fastq.gz	Fastqsanger.gz
	SRR18636062_2.fastq.gz	Fastqsanger.gz
	SRR18636063_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 64

Similar Datasets

Project description:Viral diversity in Luxembourg soils

| PRJNA771214 | ENA

Luxembourgish surface water samples 2019-2022

Project description:mzML files from the analysis of SPE-concentrated surface water samples collected in different rivers in Luxembourg between 2019 and 2022 through the collaborative work between the Environmental Cheminformatics Group (LCSB, University of Luxembourg) and the Luxembourg Administration de la gestion de l eau (AGE). The according sampling locations related to each file can be found in the supplementary xlsx file.

2023-06-21 | MSV000092221 | MassIVE

Gene expression from the rice leaf elongation zone of 7th leaf under various soil moisture treatments

Project description:Leaf rate elongation is extremely sensitive to soil water status. Global gene expression of the leaf elongation zone was profiled at three different levels of soil moisture in two genotypes. Leaf elongation in IR64 is more sensitive to decreased soil moisture than in moroberekan.

2012-09-26 | GSE41159 | GEO

RNAseq of drought treated Populus trichocarpa

Project description:To identify genes that are drought-responsive we conducted drought (soil water depletion) experiments on 3-month-old *P*. *trichocarpa *clonal plants. The plants undergo five different stages based on the appearance of their shoots and leaves during the drought experiments. Stage I: The shoot and leaves are green, and the leaves are well-spread. Stage II: The leaves are droopy. Stage III: The shoot is droopy, and the leaves are partially dry. Stage IV: The leaves are brown and totally dry. Stage V: The shoot is brown. With fully irrigation, the soil water content is 74% and the xylem water content is 80.6%. Plants in Stage III (Day 5) are under a mild drought state. The soil and xylem water content in Stage III dropped to 33% and 75.3%, respectively. Stage IV (Day 6-10) is a severe drought state where the soil and xylem water content continued decreasing to 29% and 74.3%, respectively in Day 7. The stressed plants from Stage I-IV could all recover in 3 days after rehydration, but the plants in Stage V could not recover after rehydration.

2018-12-27 | GSE79401 | GEO

iPOTs: Internet of Things-based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress

Project description:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things (IoT)-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system represents a reliable platform for phenotyping plants under drought stress.

2021-08-24 | GSE171578 | GEO

Project description:Baltic Sea viral metagenomes

| PRJNA474405 | ENA

Mosquito Metagenome

Project description:Viral metagenomes from mosquitos

| PRJNA28723 | ENA

Project description:Amphimedon queenslandica viral metagenomes

| PRJNA387954 | ENA

freshwater metagenome

Project description:Lough Neagh viral metagenomes

| PRJNA292054 | ENA

GNPS Occurrence and Distribution of Pharmaceuticals and their Transformation Products in Luxembourgish Surface Waters

Project description:Data files generated from the analysis of SPE-concentrated surface water samples collected in different rivers in Luxembourg between 2019 and 2020 through the collaborative work between the Environmental Cheminformatics Group, Luxembourg Centre for Systems Biomedicine and the Luxembourg Water Management Agency.

2021-04-14 | MSV000087190 | GNPS

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data