Datasets:

electricsheepafrica
/

africa-daily-summaries-of-precipitation-indicators-for-congo-the-democratic-republic-of-the

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: other
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - tabular-regression
  - other
task_ids: []
tags:
  - africa
  - humanitarian
  - hdx
  - electric-sheep-africa
  - climate-weather
  - el-nino-el-nina
  - cod
pretty_name: >-
  Daily Summaries of Precipitation Indicators for Congo, the Democratic Republic
  of the
dataset_info:
  splits:
    - name: train
      num_examples: 172
    - name: test
      num_examples: 43

Daily Summaries of Precipitation Indicators for Congo, the Democratic Republic of the

Publisher: HDX · Source: HDX · License: other-pd-nr · Updated: 2025-03-10

Abstract

This dataset contains the daily summaries on base stations across Congo, the Democratic Republic of the. The four indicators included are:

TPCP: Total precipitation
MXSD: Maximum snow depth
TSNW: Total snow fall
EMXP: Extreme maximum daily precipitation

Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.

This dataset contains the latest **5 years of available data**.

Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the date column(s). Geographic scope: COD.

Curated into ML-ready Parquet format by Electric Sheep Africa.

Dataset Characteristics


Domain	Climate and environment
Unit of observation	Country-level aggregates
Rows (total)	216
Columns	10 (3 numeric, 6 categorical, 1 datetime)
Train split	172 rows
Test split	43 rows
Geographic scope	COD
Publisher	HDX
HDX last updated	2025-03-10

Variables

Geographic — datatype (TPCP, EMXP), country (Congo, DRC).

Temporal — date.

Outcome / Measurement — value (range 0.0–5258.0).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-07).

Other — station (GHCND:CGM00064210, GHCND:CFM00064463, GHCND:CGM00064360), fl_miss (range 0.0–0.0), fl_cmiss (range 0.0–0.0), indicator (TPCP, EMXP).

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-daily-summaries-of-precipitation-indicators-for-congo-the-democratic-republic-of-the")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column	Type	Null %	Range / Sample Values
`date`	datetime64[ns]	0.0%
`datatype`	object	0.0%	TPCP, EMXP
`station`	object	0.0%	GHCND:CGM00064210, GHCND:CFM00064463, GHCND:CGM00064360
`value`	int64	0.0%	0.0 – 5258.0 (mean 420.7824)
`fl_miss`	int64	0.0%	0.0 – 0.0 (mean 0.0)
`fl_cmiss`	int64	0.0%	0.0 – 0.0 (mean 0.0)
`country`	object	0.0%	Congo, DRC
`indicator`	object	0.0%	TPCP, EMXP
`esa_source`	object	0.0%	HDX
`esa_processed`	object	0.0%	2026-04-07

Numeric Summary

Column	Max	Mean	Median
`value`	5258.0	420.7824	180.0
`fl_miss`	0.0	0.0	0.0
`fl_cmiss`	0.0	0.0	0.0

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 756 exact duplicate rows were removed. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

Limitations

Data originates from HDX and has not been independently validated by ESA.
Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation

@dataset{hdx_africa_daily_summaries_of_precipitation_indicators_for_congo_the_democratic_republic_of_the,
  title     = {Daily Summaries of Precipitation Indicators for Congo, the Democratic Republic of the},
  author    = {HDX},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/daily-summaries-of-precipitation-indicators-for-congo--the-democratic-republic-of-the},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.