Daily meteorological records - Climate Data Base
FAIR Overall Score
Abstract
The Climate Database (CDB) contains meteorological time series of daily temperature (maximum, minimum and mean) and daily total precipitation for more than 250 station sites in Trentino – South Tyrol region. The data were collected from the regional meteorological networks of Bolzano and Trento Provinces and include open access records from several close sites in Austria. The spanned period is 1950 – 2021. Note that mean temperature is defined by averaging minimum and maximum values in all cases. The CDB was built in the framework of the Use-Case number 8 of the DPS4ESLAB project.
Keywords
Citation
Crespi, A. (2020). Daily meteorological records - Climate Data Base (Version 1.0) [Data set]. Eurac Research. https://doi.org/10.48784/B1NP-2628
Supplemental information
Additional information can be added here
Legal constraints
CC BY 4.0
Contact for metadata
Eurac Research - Center for Sensing Solutions
supportcss@eurac.edu
Viale Druso, 1 / Drususallee 1, eurac research, Bolzano, Autonomous Province of Bolzano, 39100, Italy
FAIR Overall Score: 77%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
Snippet code
import pandas as pd
import psycopg2
# establish connection using information supplied in documentation
conn = psycopg2.connect(host="XXXXXXXX",
database="XXXXXX",
user="XXXXXXX",
password="XXXXXXXX",
port=XXXXXXX)
cur = conn.cursor()
# get the metadata
query = """
SELECT * FROM metadata
"""
tbl_meta = pd.read_sql_query(query, conn)
tbl_meta.info()
tbl_meta.head()Related docs
No docs sources are available.