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+# Data Set with 500 ESBL Isolates
+
+A data set containing 500 microbial isolates with MIC values of common
+antibiotics and a binary `esbl` column for extended-spectrum
+beta-lactamase (ESBL) production. This data set contains randomised
+fictitious data but reflects reality and can be used to practise
+AMR-related machine learning, e.g., classification modelling with
+[tidymodels](https://amr-for-r.org/articles/AMR_with_tidymodels.html).
+
+## Usage
+
+``` r
+esbl_isolates
+```
+
+## Format
+
+A [tibble](https://tibble.tidyverse.org/reference/tibble.html) with 500
+observations and 19 variables:
+
+- `esbl`  
+  Logical indicator if the isolate is ESBL-producing
+
+- `genus`  
+  Genus of the microorganism
+
+- `AMC:COL`  
+  MIC values for 17 antimicrobial agents, transformed to class
+  [`mic`](https://amr-for-r.org/reference/as.mic.md) (see
+  [`as.mic()`](https://amr-for-r.org/reference/as.mic.md))
+
+## Details
+
+See our [tidymodels
+integration](https://amr-for-r.org/reference/amr-tidymodels.md) for an
+example using this data set.
+
+## Examples
+
+``` r
+esbl_isolates
+#> # A tibble: 500 × 19
+#>    esbl  genus   AMC   AMP   TZP   CXM   FOX   CTX   CAZ   GEN   TOB   TMP   SXT
+#>    <lgl> <chr> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic> <mic>
+#>  1 FALSE Esch…    32    32     4    64    64  8.00  8.00     1     1  16.0    20
+#>  2 FALSE Esch…    32    32     4    64    64  4.00  8.00     1     1  16.0   320
+#>  3 FALSE Esch…     4     2    64     8     4  8.00  0.12    16    16   0.5    20
+#>  4 FALSE Kleb…    32    32    16    64    64  8.00  8.00     1     1   0.5    20
+#>  5 FALSE Esch…    32    32     4     4     4  0.25  2.00     1     1  16.0   320
+#>  6 FALSE Citr…    32    32    16    64    64 64.00 32.00     1     1   0.5    20
+#>  7 FALSE Morg…    32    32     4    64    64 16.00  2.00     1     1   0.5    20
+#>  8 FALSE Prot…    16    32     4     1     4  8.00  0.12     1     1  16.0   320
+#>  9 FALSE Ente…    32    32     8    64    64 32.00  4.00     1     1   0.5    20
+#> 10 FALSE Citr…    32    32    32    64    64  8.00 64.00     1     1  16.0   320
+#> # ℹ 490 more rows
+#> # ℹ 6 more variables: NIT <mic>, FOS <mic>, CIP <mic>, IPM <mic>, MEM <mic>,
+#> #   COL <mic>
+```