electricsheepafrica/africa-morocco-mer-en-chiffres-2022-evenements-de-mer-909dbe14

Mer en chiffres 2022 - Evénements de mer | Africa (Morocco official open data)

21 rows - 1 Africa country - not-applicable - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Morocco as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Mer en chiffres 2022 - Evénements de mer
• Publisher: Département de la Pêche Maritime
• Resource: Mer en chiffres 2020-Evénements de mer.xlsx
• Format: XLSX
• License: Open Data Commons Open Database License
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
MAR	21	n/a	n/a	Morocco

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	2368094c-8557-4d45-a2b7-6c58e8d43360:evenements-de-mer:0
country_iso3	string	ISO3 country code.	MAR
country_name	string	Country name.	Morocco
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Evenements de mer
nador	string	Source column.	Al Hoceima
d_240	float64	Source column.	1680.0
d_1416	float64	Source column.	1680.0
d_3	float64	Source column.	1022.0
d_0	float64	Source column.	530.0
d_4	float64	Source column.	10.0
d_0_2	float64	Source column.	0.0
d_0_3	float64	Source column.	0.0
d_0_4	float64	Source column.	1.0
d_0_5	float64	Source column.	12.0
d_0_6	float64	Source column.	0.0
d_0_7	float64	Source column.	0.0
d_3_2	float64	Source column.	0.0
d_10	float64	Source column.	190.0
d_11351	float64	Source column.	25.0
source_provider	string	Publishing organization.	Département de la Pêche Maritime
source_dataset	string	Source package title.	Mer en chiffres 2022 - Evénements de mer
source_resource	string	Source resource title.	Mer en chiffres 2020-Evénements de mer.xlsx
source_package_id	string	CKAN package UUID.	9606c2f6-da92-4c21-91cb-ae4fcf446148
source_resource_id	string	CKAN resource UUID.	2368094c-8557-4d45-a2b7-6c58e8d43360
source_url	string	Original source resource URL.	https://data.gov.ma/data/fr/dataset/9606c2f6-da92-4c21-91cb-ae4fcf446148
license_id	string	Source license identifier.	odc-odbl
retrieved_at	string	UTC retrieval timestamp.	2026-07-16T21:31:48Z
total	float64	Source column.	``
d_301	float64	Source column.	``
d_220	float64	Source column.	``
d_85	float64	Source column.	``
d_75	float64	Source column.	``
d_181	float64	Source column.	``
d_203	float64	Source column.	``
d_44	float64	Source column.	``
d_40	float64	Source column.	``
d_19	float64	Source column.	``
d_33	float64	Source column.	``
d_13	float64	Source column.	``
d_1214	float64	Source column.	``
d_148	float64	Source column.	``
d_148_2	float64	Source column.	``
d_13_2	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-morocco-mer-en-chiffres-2022-evenements-de-mer-909dbe14")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "MAR"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_morocco_mer_en_chiffres_2022_evenements_de_mer_909dbe14_2026,
  title        = {Mer en chiffres 2022 - Evénements de mer | Africa (Morocco official open data)},
  author       = {Département de la Pêche Maritime},
  year         = {2026},
  url          = {https://data.gov.ma/data/dataset/mer-en-chiffres-2020-evenements-de-mer},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-mer-en-chiffres-2022-evenements-de-mer-909dbe14}}
}

License

Released under Open Data Commons Open Database License.

Original data (c) Département de la Pêche Maritime. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL: https://data.gov.ma/data/fr/dataset/9606c2f6-da92-4c21-91cb-ae4fcf446148/resource/2368094c-8557-4d45-a2b7-6c58e8d43360/download/evenement_de_mer_2022.xlsx