Additional Info
| Field |
Value |
| Last Updated |
September 4, 2026, 08:47 (UTC)
|
| Created |
September 4, 2026, 08:47 (UTC)
|
| computation_time |
|
| data_transformation_sql |
["SELECT CAST(datum AS DATE) AS datum, viruslast_normalisiert FROM df WHERE typ = 'Influenza A+B' ORDER BY datum"] |
| docker_tag |
latest |
| input_dataset_qids |
["Q9493814122238"] |
| model |
model__prediction__generic__chronos2-small |
| model_qid |
Q3303530955313 |
| qid |
Q1788511506713 |
| run_timestamp |
2026-09-04T08:45:21Z |
| status |
failed |
You can access all data via a web API using e.g. Python or curl.
Python
import requests
dataset_id = "q1788511506713"
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=q1788511506713"