Monthly climatologies - Climate Data Base
FAIR Overall Score
Abstract
The dataset contains the 1981 – 2010 monthly climatologies of mean, minimum and maximum temperature and total precipitation for more than 250 locations in Trentino – South Tyrol. They were derived from the observation records of the regional meteorological network after checking all series for quality and homogeneity. Climatologies (or normals) are the mean monthly values computed over a 30-years reference interval and they represent the mean local climatic conditions. The CDB was built in the framework of the Use-Case number 8 of the DPS4ESLAB project.
Keywords
Citation
Crespi, A. (2020). Monthly climatologies - Climate Data Base (Version 1.0) [Data set]. Eurac Research. https://doi.org/10.48784/EGX7-RZ63
Supplemental information
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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.