diff --git a/R/data.R b/R/data.R
index 9fc7c588..8f6a0291 100644
--- a/R/data.R
+++ b/R/data.R
@@ -19,7 +19,7 @@
 #' Dataset with 420 antibiotics
 #'
 #' A dataset containing all antibiotics with a J0 code, with their DDD's. Properties were downloaded from the WHO, see Source.
-#' @format A data.frame with 420 observations and 16 variables:
+#' @format A data.frame with 420 observations and 18 variables:
 #' \describe{
 #'   \item{\code{atc}}{ATC code, like \code{J01CR02}}
 #'   \item{\code{molis}}{MOLIS code, like \code{amcl}}
@@ -236,8 +236,8 @@
 
 #' Dataset with ~2500 microorganisms
 #'
-#' A dataset containing 2500 microorganisms. MO codes of the UMCG can be looked up using \code{\link{microorganisms.umcg}}.
-#' @format A data.frame with 2507 observations and 12 variables:
+#' A dataset containing 2453 microorganisms. MO codes of the UMCG can be looked up using \code{\link{microorganisms.umcg}}.
+#' @format A data.frame with 2453 observations and 12 variables:
 #' \describe{
 #'   \item{\code{bactid}}{ID of microorganism}
 #'   \item{\code{bactsys}}{Bactsyscode of microorganism}
diff --git a/README.md b/README.md
index a06d280f..ab51253b 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,12 @@
 # `AMR`
-This is an [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR).
+### An [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR).
 
-[![logo_rug](man/figures/logo_rug.png)](https://www.rug.nl)[![logo_umcg](man/figures/logo_umcg.png)](https://www.umcg.nl)[![logo_eh1h](man/figures/logo_eh1h.png)](http://www.eurhealth-1health.eu)[![logo_interreg](man/figures/logo_interreg.png)](http://www.eurhealth-1health.eu)
+[![logo_rug](man/figures/logo_rug.png)](https://www.rug.nl)[![logo_umcg](man/figures/logo_umcg.png)](https://www.umcg.nl)
 
-This R package was created for academic research by PhD students of the Faculty of Medical Sciences of the [University of Groningen)](https://www.rug.nl) and the Medical Microbiology & Infection Prevention department of the [University Medical Center Groningen (UMCG)](https://www.umcg.nl). They also maintain this package, see [Authors](#authors).
+This R package was created for academic research by PhD students of the Faculty of Medical Sciences of the [University of Groningen)](https://www.rug.nl) and the Medical Microbiology & Infection Prevention (MMBI) department of the [University Medical Center Groningen (UMCG)](https://www.umcg.nl). See [Authors](#authors).
 
 ## Why this package?
-This R package contains functions to make microbiological, epidemiological data analysis easier. It allows the use of some new classes to work with MIC values and antimicrobial interpretations (i.e. values S, I and R).
+This R package contains functions to make **microbiological, epidemiological data analysis easier**. It allows the use of some new classes to work with MIC values and antimicrobial interpretations (i.e. values S, I and R).
 
 With `AMR` you can also:
 * Create frequency tables with the `freq` function
@@ -264,11 +264,14 @@ abname("J01CR02", from = "atc", to = "umcg") # "AMCL"
 ### Databases included in package
 Datasets to work with antibiotics and bacteria properties.
 ```r
-# Dataset with ATC antibiotics codes, official names and DDD's (oral and parenteral)
-ablist        # A tibble: 420 x 12
+# Dataset with 2000 random blood culture isolates from anonymised septic patients between 2001 and 2017 in 5 Dutch hospitals
+septic_patients   # A tibble: 4,000 x 47
+
+# Dataset with ATC antibiotics codes, official names, trade names and DDD's (oral and parenteral)
+antibiotics       # A tibble: 420 x 18
 
 # Dataset with bacteria codes and properties like gram stain and aerobic/anaerobic
-bactlist      # A tibble: 2,507 x 10
+microorganisms    # A tibble: 2,453 x 12
 ```
 
 
@@ -282,6 +285,8 @@ bactlist      # A tibble: 2,507 x 10
 
 <sup>2</sup> Certe Medical Diagnostics & Advice, Groningen, the Netherlands
 
+[![logo_umcg](man/figures/logo_umcg.png)](https://www.umcg.nl)[![logo_certe](man/figures/logo_certe.png)](https://www.certe.nl)[![logo_eh1h](man/figures/logo_eh1h.png)](http://www.eurhealth-1health.eu)[![logo_interreg](man/figures/logo_interreg.png)](http://www.eurhealth-1health.eu)
+
 ## Copyright
 [![License](https://img.shields.io/github/license/msberends/AMR.svg?colorB=3679BC)](https://github.com/msberends/AMR/blob/master/LICENSE)
 
diff --git a/man/antibiotics.Rd b/man/antibiotics.Rd
index 73d25ef7..db8cf86e 100644
--- a/man/antibiotics.Rd
+++ b/man/antibiotics.Rd
@@ -4,7 +4,7 @@
 \name{antibiotics}
 \alias{antibiotics}
 \title{Dataset with 420 antibiotics}
-\format{A data.frame with 420 observations and 16 variables:
+\format{A data.frame with 420 observations and 18 variables:
 \describe{
   \item{\code{atc}}{ATC code, like \code{J01CR02}}
   \item{\code{molis}}{MOLIS code, like \code{amcl}}
diff --git a/man/figures/logo_certe.png b/man/figures/logo_certe.png
new file mode 100644
index 00000000..ecfc2b05
Binary files /dev/null and b/man/figures/logo_certe.png differ
diff --git a/man/microorganisms.Rd b/man/microorganisms.Rd
index deac25ac..248e68db 100644
--- a/man/microorganisms.Rd
+++ b/man/microorganisms.Rd
@@ -4,7 +4,7 @@
 \name{microorganisms}
 \alias{microorganisms}
 \title{Dataset with ~2500 microorganisms}
-\format{A data.frame with 2507 observations and 12 variables:
+\format{A data.frame with 2453 observations and 12 variables:
 \describe{
   \item{\code{bactid}}{ID of microorganism}
   \item{\code{bactsys}}{Bactsyscode of microorganism}
@@ -26,7 +26,7 @@ MOLIS (LIS of Certe) - \url{https://www.certe.nl}
 microorganisms
 }
 \description{
-A dataset containing 2500 microorganisms. MO codes of the UMCG can be looked up using \code{\link{microorganisms.umcg}}.
+A dataset containing 2453 microorganisms. MO codes of the UMCG can be looked up using \code{\link{microorganisms.umcg}}.
 }
 \seealso{
 \code{\link{guess_bactid}} \code{\link{antibiotics}} \code{\link{microorganisms.umcg}}