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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gwinfraassess" in publications use:'
type: software
license: CC-BY-4.0
title: 'gwinfraassess: Groundwater Monitoring Wells, Nkhotakota, Malawi 2022-2023'
version: 1.0.1
doi: 10.5281/zenodo.21839342
abstract: The Groundwater Monitoring Infrastructure Assessment Dataset (2022 to 2023)
  is an open dataset published by BASEflow Malawi. The dataset contains field observations
  collected during an assessment of groundwater monitoring infrastructure in Nkhotakota
  District, Malawi. It includes information on monitoring well characteristics, groundwater
  level measurements, monitoring equipment, site accessibility, infrastructure condition,
  community awareness, and recommended maintenance and rehabilitation actions.
authors:
- family-names: Mhango
  given-names: Emmanuel
  email: emmanuellmhango@gmail.com
  orcid: https://orcid.org/0000-0003-3197-6244
preferred-citation:
  type: generic
  title: 'gwinfraassess: Groundwater Monitoring Wells, Nkhotakota, Malawi 2022-2023'
  authors:
  - family-names: Mhango
    given-names: Emmanuel
    email: emmanuellmhango@gmail.com
    orcid: https://orcid.org/0000-0003-3197-6244
  year: '2026'
  doi: 10.5281/zenodo.21839342
  url: https://github.com/openwashdata/gwinfraassess
  abstract: The Groundwater Monitoring Infrastructure Assessment Dataset (2022 to
    2023) is an open dataset published by BASEflow Malawi. The dataset contains field
    observations collected during an assessment of groundwater monitoring infrastructure
    in Nkhotakota District, Malawi. It includes information on monitoring well characteristics,
    groundwater level measurements, monitoring equipment, site accessibility, infrastructure
    condition, community awareness, and recommended maintenance and rehabilitation
    actions.
  keywords:
  - open data
  - washdata
  - groundwater
  - groundwater monitoring
  - monitoring wells
  - water levels
  - Malawi
  version: 1.0.1
repository: https://openwashdata.r-universe.dev
repository-code: https://github.com/openwashdata/gwinfraassess
commit: 7caedc2f98bfe97faac6644ef4436092d7d23c81
url: https://github.com/openwashdata/gwinfraassess
date-released: '2026-08-07'
contact:
- family-names: Mhango
  given-names: Emmanuel
  email: emmanuellmhango@gmail.com
  orcid: https://orcid.org/0000-0003-3197-6244
keywords:
- open data
- washdata
- groundwater
- groundwater monitoring
- monitoring wells
- water levels
- Malawi