diff --git a/.docs/DEVELOPMENT.md b/.docs/DEVELOPMENT.md
index 4e5456a70a5fa12163fd9a69eb909895171f482f..db427a33f97c4b7afdd0a6448e465577f10e4e77 100644
--- a/.docs/DEVELOPMENT.md
+++ b/.docs/DEVELOPMENT.md
@@ -85,4 +85,8 @@ cluster.
 
 The full CI/CD pipeline Helm chart is documented in 
 the [`fda-deployment`](https://gitlab.phaidra.org/fair-data-austria-db-repository/fda-deployment/-/tree/master/charts/dbrepo-devops)
-repository.
\ No newline at end of file
+repository.
+
+## Documentation
+
+For consistency reasons across the documentation, the resolution needs to be 1280x800 (16:10 ratio)
\ No newline at end of file
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diff --git a/.docs/usage-overview.md b/.docs/usage-overview.md
index d33852ff7b10850bcbfd036d00ee8ec185f580ef..4aff3f05eca2eef78380927384452b498ce7213e 100644
--- a/.docs/usage-overview.md
+++ b/.docs/usage-overview.md
@@ -4,49 +4,351 @@ author: Martin Weise
 
 # Overview
 
-In the following we give usage examples of the seven most important use-cases we identified. They are allowed to occur
-subsequently.
+We give usage examples of the seven most important use-cases we identified.
 
 ## Create Database
 
-!!! abstract "User wants to create a database in DBRepo"
+A user wants to create a database in DBRepo.
 
-    aaaa
+=== "UI"
 
-aaa
+    Login and press the ":material-plus: DATABASE" button on the top right :material-numeric-1-circle-outline: as seen in Figure 1.
+
+    <figure markdown>
+    ![Open the create database dialog](images/screenshots/create-database-step-1.png){ .img-border }
+    <figcaption>Figure 1: Open the create database dialog.</figcaption>
+    </figure>
+
+    Give the database a meaningful title :material-numeric-1-circle-outline: that describes the contained data in few 
+    words and select a pre-configured container :material-numeric-2-circle-outline: from the list for this database. To
+    finally create the database, press "Create" :material-numeric-3-circle-outline: as seen in Figure 2.
+
+    <figure markdown>
+    ![Create database form](images/screenshots/create-database-step-2.png){ .img-border }
+    <figcaption>Figure 2: Create database form.</figcaption>
+    </figure>
+
+    After a few seconds, you can see the created database in the "Recent Databases" list, as seen in Figure 3.
+
+    <figure markdown>
+    ![View the created database](images/screenshots/create-database-step-3.png){ .img-border }
+    <figcaption>Figure 3: View the created database.</figcaption>
+    </figure>
+
+=== "Terminal"
+
+    Obtain an access token:
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d 'username=foo&password=bar&grant_type=password&client_id=dbrepo-client&scope=openid&client_secret=MUwRc7yfXSJwX8AdRMWaQC3Nep1VjwgG' \
+      http://localhost/api/auth/realms/dbrepo/protocol/openid-connect/token | jq .access_token
+    ```
+
+    !!! note
+
+        Please note that the `client_secret` is different for your DBRepo instance. This is a default client secret that
+        likely has been replaced. Please contact your DBRepo administrator to get the `client_secret` for your instance.
+        Similar you need to replace `localhost` with your actual DBRepo instance hostname, e.g. `test.dbrepo.tuwien.ac.at`.
+
+    Then list all available containers with their database engine descriptions and obtain a container id.
+
+    ```bash
+    curl -sSL \
+      http://localhost/api/container | jq
+    ```
+
+    Create a public databse with the container id from the previous step. You can also create a private database in this
+    step, others can still see the metadata.
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d '{"name":"Danube Water Quality Measurements","container_id":1,"is_public":true}' \
+      http://localhost/api/database | jq .id
+    ```
+
+=== "Python"
+
+    Obtain an access token:
+
+    ```python
+    import requests
+    
+    auth = requests.post("http://localhost/api/auth/realms/dbrepo/protocol/openid-connect/token", data={
+        "username": "foo",
+        "password": "bar",
+        "grant_type": "password",
+        "client_id": "dbrepo-client",
+        "scope": "openid",
+        "client_secret": "MUwRc7yfXSJwX8AdRMWaQC3Nep1VjwgG"
+    })
+    token = auth.json()["access_token"]
+    print(token)
+    ```
+
+    !!! note
+
+        Please note that the `client_secret` is different for your DBRepo instance. This is a default client secret that
+        likely has been replaced. Please contact your DBRepo administrator to get the `client_secret` for your instance.
+        Similar you need to replace `localhost` with your actual DBRepo instance hostname, e.g. `test.dbrepo.tuwien.ac.at`.
+
+    Then list all available containers with their database engine descriptions and obtain a container id.
+
+    ```python
+    import requests
+    
+    containers = requests.get("http://localhost/api/container")
+    print(containers.json())
+    ```
+
+    Create a public databse with the container id from the previous step. You can also create a private database in this
+    step, others can still see the metadata.
+
+    ```python
+    import requests
+    
+    database = requests.post("http://localhost/api/database", headers={
+        "Authentication": "Bearer " + token
+    }, json={
+        "name": "Danube Water Quality Measurements",
+        "container_id": 1,
+        "is_public": True
+    })
+    print(database.json()["id"])
+    ```
 
 ## Import Dataset
 
-!!! abstract "User wants to import a static dataset stored as .csv file"
+A user wants to import a static dataset (e.g. from a .csv file) into a database that they have at least `write-own`
+access to. This is the default for self-created databases like above in [Create Databases](#create-database).
+
+=== "UI"
+
+    Login and select a database where you have at least `write-all` access (this is the case for e.g. self-created 
+    databases). Click the ":material-cloud-upload: IMPORT CSV" button :material-numeric-1-circle-outline: as seen in 
+    Figure 4.
+
+    <figure markdown>
+    ![Open the import CSV form](images/screenshots/import-dataset-step-1.png){ .img-border }
+    <figcaption>Figure 4: Open the import CSV form.</figcaption>
+    </figure>
+
+    Provide the table name :material-numeric-1-circle-outline: and optionally a table description :material-numeric-2-circle-outline:
+    as seen in Figure 5.
+
+    <figure markdown>
+    ![Basic table information](images/screenshots/import-dataset-step-2.png){ .img-border }
+    <figcaption>Figure 5: Basic table information.</figcaption>
+    </figure>
+
+    Next, provide the dataset metadata that is necessary for import into the table by providing the dataset separator
+    (e.g. `,` or `;` or `\t`) in :material-numeric-1-circle-outline:. If your dataset has a header line (the first line
+    containing the names of the columns) set the number of lines to skip to 1 in field :material-numeric-2-circle-outline:.
+    If your dataset contains more lines that should be ignored, set the number of lines accordingly. If your dataset
+    contains quoted values, indicate this by setting the field :material-numeric-3-circle-outline: accordingly
+    in Figure 6.
+
+    If your dataset contains encodings for `NULL` (e.g. `NA`), provide this encoding information 
+    in :material-numeric-4-circle-outline:. Similar, if it contains encodings for boolean `true` (e.g. `1` or `YES`),
+    provide this encoding information in :material-numeric-5-circle-outline:. For boolean `false` (e.g. `0` or `NO`),
+    provide this information in :material-numeric-6-circle-outline:.
+
+    <figure markdown>
+    ![Dataset metadata necessary for import](images/screenshots/import-dataset-step-3.png){ .img-border }
+    <figcaption>Figure 6: Dataset metadata necessary for import.</figcaption>
+    </figure>
+
+    Select the dataset file from your local computer by clicking :material-numeric-1-circle-outline: or dragging the
+    dataset file onto the field in Figure 7.
+
+    <figure markdown>
+    ![Dataset import file](images/screenshots/import-dataset-step-4.png){ .img-border }
+    <figcaption>Figure 7: Dataset import file.</figcaption>
+    </figure>
+
+    The table schema is suggested based on heuristics between the upload and the suggested schema in Figure 8. If your
+    dataset has no column names present, e.g. you didn't provide a *Number of lines to skip* (c.f. Figure 6), then you
+    need to provide a column name in :material-numeric-1-circle-outline:. Provide a data type from the list of MySQL 8
+    available data types :material-numeric-2-circle-outline:. Indicate if the column is (part of) a primary key 
+    :material-numeric-4-circle-outline: or if `NULL` values are allowed in :material-numeric-5-circle-outline: or if a
+    unique constraint is needed (no values in this column are then allowed to repeat) in :material-numeric-6-circle-outline:.
+
+    Optionally, you can remove table column definitions by clicking the "REMOVE" button or add additional table column
+    definitions by clicking the "ADD COLUMN" button in Figure 8.
+
+    <figure markdown>
+    ![Confirm the table schema and provide missing information](images/screenshots/import-dataset-step-5.png){ .img-border }
+    <figcaption>Figure 8: Confirm the table schema and provide missing information.</figcaption>
+    </figure>
+
+    If a table column data type is of `DATE` or `TIMESTAMP` (or similar), provide a date format 
+    :material-numeric-3-circle-outline: from the list of available formats that are most similar to the one in the
+    dataset as seen in Figure 9.
+
+    <figure markdown>
+    ![Confirm the table schema and provide missing information](images/screenshots/import-dataset-step-6.png){ .img-border }
+    <figcaption>Figure 9: Confirm the table schema and provide missing information.</figcaption>
+    </figure>
+
+    When you are finished with the table schema definition, the dataset is imported and a table is created. You are
+    being redirected automatically to the table info page upon success, navigate to the "DATA" tab 
+    :material-numeric-1-circle-outline:. You can still delete the table :material-numeric-2-circle-outline: as long as
+    no identifier is associated with it :material-numeric-3-circle-outline:.
+
+    Public databases allow anyone to download :material-numeric-4-circle-outline: the table data as dataset file. Also
+    it allows anyone to view the recent history of inserted data :material-numeric-5-circle-outline: dialog.
+
+    <figure markdown>
+    ![Table data](images/screenshots/import-dataset-step-7.png){ .img-border }
+    <figcaption>Figure 10: Table data.</figcaption>
+    </figure>
 
-    aaaa
+=== "Terminal"
+
+    Obtain an access token:
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d 'username=foo&password=bar&grant_type=password&client_id=dbrepo-client&scope=openid&client_secret=MUwRc7yfXSJwX8AdRMWaQC3Nep1VjwgG' \
+      http://localhost/api/auth/realms/dbrepo/protocol/openid-connect/token | jq .access_token
+    ```
+
+    !!! note
+
+        Please note that the `client_secret` is different for your DBRepo instance. This is a default client secret that
+        likely has been replaced. Please contact your DBRepo administrator to get the `client_secret` for your instance.
+        Similar you need to replace `localhost` with your actual DBRepo instance hostname, e.g. `test.dbrepo.tuwien.ac.at`.
+
+    Select a database where you have at least `write-all` access (this is the case for e.g. self-created databases).
+
+    Upload the dataset via the [`tusc`](https://github.com/adhocore/tusc.sh) terminal application or use Python and
+    copy the file key.
+
+    ```bash
+    tusc -H http://localhost/api/upload/files -f danube.csv -b /dbrepo-upload/
+    ```
+
+    Analyse the dataset and get the table column names and datatype suggestion.
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d '{"filename":"FILEKEY","separator":","}' \
+      http://localhost/api/analyse/determinedt | jq
+    ```
+
+    Provide the table name and optionally a table description along with the table columns.
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d '{"name":"Danube water levels","description":"Measurements of the river danube water levels","columns":[{"name":"datetime","type":"timestamp","dfid":1,"primary_key":false,"null_allowed":true},{"name":"level","type":"bigint","size":255,"primary_key":false,"null_allowed":true}]}' \
+      http://localhost/api/database/1/table | jq .id
+    ```
+
+    Next, provide the dataset metadata that is necessary for import into the table by providing the dataset separator
+    (e.g. `,` or `;` or `\t`). If your dataset has a header line (the first line containing the names of the columns) 
+    set the number of lines to skip to 1. If your dataset contains more lines that should be ignored, set the number of
+    lines accordingly. If your dataset contains quoted values, indicate this by setting the field accordingly.
+
+    If your dataset contains encodings for `NULL` (e.g. `NA`), provide this encoding information. Similar, if it 
+    contains encodings for boolean `true` (e.g. `1` or `YES`), provide this encoding information. For boolean `false`
+    (e.g. `0` or `NO`), provide this information.
+
+    ```bash
+    curl -sSL \
+      -X POST \
+      -d '{"location":"FILEKEY","separator":",","quote":"\"","skip_lines":1,"null_element":"NA"}' \
+      http://localhost/api/database/1/table/1/data/import | jq
+    ```
+
+    When you are finished with the table schema definition, the dataset is imported and a table is created. View the
+    table data:
+
+    ```bash
+    curl -sSL \
+      http://localhost/api/database/1/table/1/data?page=0&size=10 | jq
+    ```
+
+=== "Python"
+
+    123
 
 ## Import Database Dump
 
-!!! abstract "User wants to import a static database dump stored as .sql file"
+TBD
+
+=== "UI"
+
+    ABC
+
+=== "HTTP API"
 
-    aaaa
+    DEF
+
+=== "JDBC API"
+
+    123
 
 ## Import Live Data
 
-!!! abstract "User wants to import continuous measurements from a sensor"
+TBD
+
+=== "UI"
+
+    ABC
+
+=== "HTTP API"
 
-    aaaa
+    DEF
+
+=== "JDBC API"
+
+    123
+
+=== "AMQP API"
+
+    456
 
 ## Export Subset
 
-!!! abstract "User wants to export a subset as .csv file"
+TBD
+
+=== "UI"
 
-    aaaa
+    ABC
+
+=== "HTTP API"
+
+    DEF
+
+=== "JDBC API"
+
+    123
 
 ## Assign Database PID
 
-!!! abstract "User wants to assign a persistent identifier to a database"
+TBD
+
+=== "UI"
 
-    aaaa
+    ABC
+
+=== "HTTP API"
+
+    DEF
 
 ## Private Database &amp; Access
 
-!!! abstract "User wants to make the database private and give only certain users access"
+TBD
+
+=== "UI"
+
+    ABC
+
+=== "HTTP API"
 
-    aaaa
\ No newline at end of file
+    DEF
\ No newline at end of file
diff --git a/dbrepo-ui/components/database/DatabaseToolbar.vue b/dbrepo-ui/components/database/DatabaseToolbar.vue
index 18427cf7a8ded9ff3f70256cd51598d89a86a0db..f43f35f4c115468d37bb155b53deeb2381a6b5a9 100644
--- a/dbrepo-ui/components/database/DatabaseToolbar.vue
+++ b/dbrepo-ui/components/database/DatabaseToolbar.vue
@@ -2,7 +2,7 @@
   <div v-if="database">
     <v-toolbar flat>
       <v-toolbar-title>
-        <span v-if="$vuetify.breakpoint.lgAndUp">{{ database.name }}</span>
+        <span v-if="$vuetify.breakpoint.lgAndUp" v-text="database.name" />
         <v-tooltip bottom>
           <template v-slot:activator="{ on, attrs }">
             <v-icon
@@ -29,25 +29,25 @@
       <v-spacer />
       <v-toolbar-title>
         <v-btn v-if="canImportCsv" class="mb-1" :to="`/database/${$route.params.database_id}/table/import`">
-          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-cloud-upload</v-icon> Import .csv
+          <v-icon left>mdi-cloud-upload</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Import</span> csv
         </v-btn>
         <DownloadButton
           v-if="database && database.identifier"
           :pid="database.identifier.id"
           class="mr-2 mb-1">
-          <v-icon left>mdi-code-tags</v-icon> Identifier .xml
+          <v-icon left>mdi-code-tags</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Identifier</span> xml
         </DownloadButton>
         <v-btn v-if="canCreateSubset" color="secondary" class="mb-1 white--text" :to="`/database/${$route.params.database_id}/query/create`">
-          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-wrench</v-icon> Create Subset
+          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-wrench</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Create</span> Subset
         </v-btn>
         <v-btn v-if="canCreateView" color="secondary" class="mb-1 white--text" :to="`/database/${$route.params.database_id}/view/create`">
-          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-view-carousel-outline</v-icon> Create View
+          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-view-carousel-outline</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Create</span> View
         </v-btn>
         <v-btn v-if="canCreateTable" color="secondary" class="mb-1" :to="`/database/${$route.params.database_id}/table/create`">
-          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-table-large-plus</v-icon> Create Table
+          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-table-large-plus</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Create</span> Table
         </v-btn>
         <v-btn v-if="canCreateIdentifier" color="primary" class="mb-1" :to="`/database/${$route.params.database_id}/persist`">
-          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-identifier</v-icon> Get PID
+          <v-icon v-if="$vuetify.breakpoint.lgAndUp" left>mdi-identifier</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Get</span> PID
         </v-btn>
       </v-toolbar-title>
       <template v-slot:extension>
diff --git a/dbrepo-ui/components/table/TableToolbar.vue b/dbrepo-ui/components/table/TableToolbar.vue
index e96d2752bb6cae794ce1a6ae6d690004701e872c..3c4935683718f353c0d54959fbdfbb88f6587e2b 100644
--- a/dbrepo-ui/components/table/TableToolbar.vue
+++ b/dbrepo-ui/components/table/TableToolbar.vue
@@ -21,19 +21,19 @@
           <v-icon left>mdi-delete</v-icon> Delete <span v-if="selection.length > 1">&nbsp;{{ selection.length }}</span>
         </v-btn>
         <v-btn v-if="canImportCsv" class="mb-1" :to="`/database/${$route.params.database_id}/table/${$route.params.table_id}/import`">
-          <v-icon left>mdi-cloud-upload</v-icon> Import .csv
+          <v-icon left>mdi-cloud-upload</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Import</span> csv
         </v-btn>
         <v-btn v-if="canExecuteQuery" class="mb-1" :to="`/database/${$route.params.database_id}/query/create?tid=${$route.params.table_id}`" color="secondary">
-          <v-icon left>mdi-wrench</v-icon> Create Subset
+          <v-icon left>mdi-wrench</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Create</span> Subset
         </v-btn>
         <v-btn v-if="canCreateView" class="mb-1" :to="`/database/${$route.params.database_id}/view/create?tid=${$route.params.table_id}`" color="secondary">
-          <v-icon left>mdi-view-carousel</v-icon> Create View
+          <v-icon left>mdi-view-carousel</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Create</span> View
         </v-btn>
         <v-btn v-if="canDropTable" class="mb-1" color="error" @click="dropTableDialog = true">
-          <v-icon left>mdi-delete</v-icon> Drop Table
+          <v-icon left>mdi-delete</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Drop</span> Table
         </v-btn>
         <v-btn v-if="canGetPid" class="mb-1" color="primary" :to="`/database/${$route.params.database_id}/table/${$route.params.table_id}/persist`">
-          <v-icon left>mdi-content-save-outline</v-icon> Get PID
+          <v-icon left>mdi-content-save-outline</v-icon> <span v-if="$vuetify.breakpoint.xlOnly">Get</span> PID
         </v-btn>
       </v-toolbar-title>
     </v-toolbar>
diff --git a/dbrepo-ui/pages/database/_database_id/info.vue b/dbrepo-ui/pages/database/_database_id/info.vue
index 1d9eb4d45730af3c9277876331f2d3ff373f6f78..284395ed0e7e5aa39bdec7363ee80b16ba085c97 100644
--- a/dbrepo-ui/pages/database/_database_id/info.vue
+++ b/dbrepo-ui/pages/database/_database_id/info.vue
@@ -19,11 +19,15 @@
                   <v-list-item-title>
                     Database Visibility
                   </v-list-item-title>
-                  <v-list-item-content v-if="!loading && database" v-text="`${database.is_public ? 'Public' : 'Private'}`" />
+                  <v-list-item-content v-if="database" v-text="`${database.is_public ? 'Public' : 'Private'}`" />
+                  <v-list-item-title class="mt-2">
+                    Database Name
+                  </v-list-item-title>
+                  <v-list-item-content v-if="database" v-text="database.name" />
                   <v-list-item-title class="mt-2">
                     Database Internal Name
                   </v-list-item-title>
-                  <v-list-item-content v-if="!loading" v-text="internal_name" />
+                  <v-list-item-content v-if="database" v-text="database.internal_name" />
                   <v-list-item-title class="mt-2">
                     Database Owner
                   </v-list-item-title>