Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil microbial eukaryote spatiotemporal beta diversity

ABSTRACT: Higher spatial than seasonal variation in floodplain soil eukaryotic microbial communities

PROVIDER: PRJEB35438 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3671200_1.fastq.gz	Fastqsanger.gz
	ERR3671200_2.fastq.gz	Fastqsanger.gz
	ERR3671210_1.fastq.gz	Fastqsanger.gz
	ERR3671210_2.fastq.gz	Fastqsanger.gz
	ERR3671220_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 192

Similar Datasets

uncultured eukaryote

Project description:Sand filters eukaryotic Metagenome

| PRJNA352908 | ENA

uncultured eukaryote

Project description:Yanga National Park Floodplain Soil Targeted Locus Project

| PRJNA51683 | ENA

uncultured eukaryote

Project description:eukaryotic clusters Raw sequence reads

| PRJNA354834 | ENA

uncultured eukaryote

Project description:global salterns eukaryotic V4 Metagenome

| PRJNA349791 | ENA

uncultured eukaryote

Project description:eukaryotic clusters Raw sequence reads

| PRJNA354976 | ENA

uncultured aquatic eukaryote

Project description:Eukaryotic microbes Raw sequence reads

| PRJNA401333 | ENA

Cuadros2020 - SIHRD spatiotemporal model of COVID-19 transmission in Ohio

Project description:The role of geospatial disparities in the dynamics of the COVID-19 pandemic is poorly understood. We developed a spatially-explicit mathematical model to simulate transmission dynamics of COVID-19 disease infection in relation with the uneven distribution of the healthcare capacity in Ohio, U.S. The results showed substantial spatial variation in the spread of the disease, with localized areas showing marked differences in disease attack rates. Higher COVID-19 attack rates experienced in some highly connected and urbanized areas (274 cases per 100,000 people) could substantially impact the critical health care response of these areas regardless of their potentially high healthcare capacity compared to more rural and less connected counterparts (85 cases per 100,000). Accounting for the spatially uneven disease diffusion linked to the geographical distribution of the critical care resources is essential in designing effective prevention and control programmes aimed at reducing the impact of COVID-19 pandemic.

2024-09-02 | BIOMD0000000969 | BioModels

Mapping diversity in African trypanosomes using high resolution spatial proteomics

Project description:African trypanosomes are dixenous eukaryotic parasites that impose a significant human and veterinary disease burden on sub-Saharan Africa. Diversity between species and life-cycle stages is concomitant with distinct host and tissue tropisms within this group. Here, the spatial proteomes of two African trypanosome species, Trypanosoma brucei and Trypanosoma congolense, have been mapped, each in mammalian and insect life-stages represented by bloodstream form (BSF) and procyclic form (PCF) respectively. Using the hyperLOPIT (hyperplexed localisation of organelle proteins by isotope tagging) methodology, this work has provided four highly comprehensive spatial proteomes.

2023-10-22 | PXD035426 | Pride

soil metagenome

Project description:Seasonal microbiome in Lake Poyang floodplain

| PRJNA911469 | ENA