Additional Info
| Field |
Value |
| Last Updated |
September 2, 2026, 20:32 (UTC)
|
| Created |
September 2, 2026, 20:31 (UTC)
|
| computation_time |
|
| data_transformation_sql |
["SELECT \"Meldedatum\", \"Inzidenz_7-Tage\" FROM df WHERE \"Altersgruppe\" = '05-14' ORDER BY \"Meldedatum\""] |
| docker_tag |
latest |
| input_dataset_qids |
["Q5026620385284"] |
| model |
model__prediction__generic__timesfm |
| model_qid |
Q7611536028271 |
| qid |
Q1788368046848 |
| run_timestamp |
2026-09-02T16:56:52Z |
| status |
success |
You can access all data via a web API using e.g. Python or curl.
Python
import requests
dataset_id = "q1788368046848"
url = "https://data.episerve.zib.de/api/3/action/package_show"
response = requests.get(url, params={"id": dataset_id})
dataset = response.json()["result"]
print(dataset["title"])
for resource in dataset["resources"]:
print(resource["name"], resource["url"])
curl
curl "https://data.episerve.zib.de/api/3/action/package_show?id=q1788368046848"