In this study, we used 16S rRNA gene sequencing approaches to characterize the bacterial microbiota on different surfaces of the hospital environment. The longitudinal data was then subjected to comprehensive comparisons between different sanitation strategies (disinfectants, detergents and probiotics) to measure their potential effect on the microbial community structures in the hospital environment. This archive contains results and data of the 16S rRNA amplicon sequencing performed on 1019 environmental and 271 patient DNA samples collected over the time course of 40 weeks in a newly opened ward in the neurological station at the Charité Hospital (Berlin). The files include a study information and sample metadata sheets, BIOM-tables and information about the taxonomy results and diversity metrics.

In this study, we used 16S rRNA gene sequencing approaches to characterize the bacterial microbiota on different surfaces of the hospital environment. The longitudinal data was then subjected to comprehensive comparisons between different sanitation strategies (disinfectants, detergents and probiotics) to measure their potential effect on the microbial community structures in the hospital environment. This archive contains results and data of the 16S rRNA amplicon sequencing performed on 1019 environmental and 271 patient DNA samples collected over the time course of 40 weeks in a newly opened ward in the neurological station at the Charité Hospital (Berlin). The files include a study information and sample metadata sheets, BIOM-tables and information about the taxonomy results and diversity metrics.

In this study, we performed a longitudinal metagenetic approach in a newly opened ward at the Charité Hospital (Berlin) to characterize the dynamics of the bacterial colonization process in the hospital environment after first patient occupancy. The sequencing data showed a site-specific taxonomic succession, which led to stable community structures after only a few weeks. This archive contains results and data of the 16S rRNA amplicon sequencing performed on 854 environmental and 408 patient DNA samples collected over the time course of 31 weeks in a newly opened ward in the neurological station at the Charité Hospital (Berlin). The files include a study information and sample metadata sheets, BIOM-tables and information about the taxonomy results and diversity metrics. Files:
* Study information
Study_information.csv
* Sample metadata
Mapping_file_patient_samples.txt
Mapping_file_environmental_samples.txt
* BIOM-tables and taxonomy summaries
otu_table_n10_mFr02_Patient.biom
otu_table_n10_mFr02_environment.biom
Patients_taxonomy_SILVA99_L5.txt
Environment_taxonomy_SILVA99_L5.txt
* Beta-diversity results
weighted_unifrac_dm_environment.txt
weighted_unifrac_pc_environment.txt
weighted_unifrac_dm_patient_environment.txt
weighted_unifrac_pc_patient_environment.txt

Analyses:
Analyses were perfomed in QIIME v.1.9.1 using the SILVA NR REF 99 (release 132) database for taxonomic assignment.

In this study, we performed a longitudinal metagenetic approach in a newly opened ward at the Charité Hospital (Berlin) to characterize the dynamics of the bacterial colonization process in the hospital environment after first patient occupancy. The sequencing data showed a site-specific taxonomic succession, which led to stable community structures after only a few weeks. This archive contains results and data of the 16S rRNA amplicon sequencing performed on 854 environmental and 408 patient DNA samples collected over the time course of 31 weeks in a newly opened ward in the neurological station at the Charité Hospital (Berlin). The files include a study information and sample metadata sheets, BIOM-tables and information about the taxonomy results and diversity metrics. Files:
* Study information
Study_information.csv
* Sample metadata
Mapping_file_patient_samples.txt
Mapping_file_environmental_samples.txt
* BIOM-tables and taxonomy summaries
otu_table_n10_mFr02_Patient.biom
otu_table_n10_mFr02_environment.biom
Patients_taxonomy_SILVA99_L5.txt
Environment_taxonomy_SILVA99_L5.txt
* Beta-diversity results
weighted_unifrac_dm_environment.txt
weighted_unifrac_pc_environment.txt
weighted_unifrac_dm_patient_environment.txt
weighted_unifrac_pc_patient_environment.txt

Analyses:
Analyses were perfomed in QIIME v.1.9.1 using the SILVA NR REF 99 (release 132) database for taxonomic assignment.