Update 2025-10-22

Author: RKIOpenData

Metadata/zenodo-invenio.json

@@ -1,10 +1,10 @@
 {
   "title": "excode: Excess Count Detection in Epidemiological Time Series",
-  "description": "<p>This repository contains the R package excode with a variety of functions for excess count detection in epidemiological time series. Excess count detection is an important part of public health surveillance.</p>\n",
+  "description": "<p>The repository &quot;excode: Excess Count Detection in Epidemiological Time Series&quot; contains the R package excode with a variety of functions for excess count detection in epidemiological time series. Excess count detection is an important part of public health surveillance.</p>\n",
   "resource_type": {
     "id": "software"
   },
-  "publication_date": "2025-06-06",
+  "publication_date": "2025-10-22",
   "creators": [
     {
       "person_or_org": {
@@ -47,10 +47,10 @@
   ],
   "contributors": [],
   "publisher": "Zenodo",
-  "version": "v0.0.0.9000",
+  "version": "v0.0.0.9100",
   "dates": [
     {
-      "date": "2025-06-06T17:04:04+02:00",
+      "date": "2025-10-22T16:46:41+02:00",
       "type": {
         "id": "created"
       },

Metadata/zenodo.json

@@ -1,6 +1,6 @@
 {
   "title": "excode: Excess Count Detection in Epidemiological Time Series",
-  "description": "<p>This repository contains the R package excode with a variety of functions for excess count detection in epidemiological time series. Excess count detection is an important part of public health surveillance.</p>\n",
+  "description": "<p>The repository &quot;excode: Excess Count Detection in Epidemiological Time Series&quot; contains the R package excode with a variety of functions for excess count detection in epidemiological time series. Excess count detection is an important part of public health surveillance.</p>\n",
   "creators": [
     {
       "name": "Zacher, Benedikt",
@@ -34,8 +34,8 @@
     "Übersterblichkeit",
     "Generalized Linear Models"
   ],
-  "publication_date": "2025-06-06",
-  "version": "v0.0.0.9000",
+  "publication_date": "2025-10-22",
+  "version": "v0.0.0.9100",
   "upload_type": "software",
   "access_right": "open",
   "license": "GPL-3.0-ONLY",
@@ -48,8 +48,8 @@
   "subjects": [],
   "dates": [
     {
-      "start": "2025-06-06T17:04:04+02:00",
-      "end": "2025-06-06T17:04:04+02:00",
+      "start": "2025-10-22T16:46:41+02:00",
+      "end": "2025-10-22T16:46:41+02:00",
       "type": "Created",
       "description": "Date when the published data was created"
     }

Readme.md

@@ -20,7 +20,7 @@ Documentation
 <br> 
 
 **Cite**  
-Zacher, B., & Vietor, A. (2025). excode: Excess Count Detection in Epidemiological Time Series. Zenodo. [https://doi.org/10.5281/zenodo.15609781](https://doi.org/10.5281/zenodo.15609781)
+Zacher, B., & Vietor, A. (2025). excode: Excess Count Detection in Epidemiological Time Series. Zenodo. [https://doi.org/10.5281/zenodo.17417083](https://doi.org/10.5281/zenodo.17417083)
 
 
 <br>

[Dokumentation]_excode.pdf

@@ -2,10 +2,11 @@ cff-version: 1.2.0
 type: software
 title: 'excode: Excess Count Detection in Epidemiological Time Series'
 abstract: >-
-  This repository contains the R package excode with a variety of functions for
+  The repository "excode: Excess Count Detection in Epidemiological Time
+  Series" contains the R package excode with a variety of functions for
   excess count detection in epidemiological time series. Excess count detection
   is an important part of public health surveillance.
-date-released: '2025-06-06'
+date-released: '2025-10-22'
 keywords:
   - Deutschland
   - Germany
@@ -28,14 +29,14 @@ keywords:
 message: Cite me!
 url: https://robert-koch-institut.github.io/excode/
 license: GPL-3.0
-doi: 10.5281/zenodo.15609781
-version: v0.0.0.9000
+doi: 10.5281/zenodo.17417083
+version: v0.0.0.9100
 authors:
   - family-names: Zacher
     given-names: Benedikt
-    affiliation: Robert Koch-Institut
+    affiliation: Robert Koch-Institut | Unit 32
     orcid: 0000-0002-6107-6389
   - family-names: Vietor
     given-names: Ann Christin
-    affiliation: Robert Koch-Institut
+    affiliation: Robert Koch-Institut | Unit 32
     orcid: 0009-0008-5392-1774