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update readme and funding info
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Mian committed Oct 6, 2023
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7 changes: 4 additions & 3 deletions DESCRIPTION
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Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Authors@R: c(
person("Mian", "Zhong", , "mzhong@ethz.ch", role = c("aut", "cre"),
person("Sebastian Camilo", "Loos", , "sloos@ethz.ch", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-8830-1734")),
person("Mian", "Zhong", , "mzhong@ethz.ch", role = "aut",
comment = c(ORCID = "0009-0009-4546-7214")),
person("Sebastian Camilo", "Loos", , "sloos@ethz.ch", role = "aut",
comment = c(ORCID = "0000-0002-8830-1734"))
person("Rob", "Hope", role = "aut")
)
URL: https://github.com/openwashdata/grdwtrsmpkwale
BugReports: https://github.com/openwashdata/grdwtrsmpkwale/issues
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44 changes: 39 additions & 5 deletions README.Rmd
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[![License: CC BY
4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
[![R-CMD-check](https://github.com/openwashdata/grdwtrsmpkwale/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/openwashdata/grdwtrsmpkwale/actions/workflows/R-CMD-check.yaml)

<!-- badges: end -->

The goal of `grdwtrsmpkwale` is to provide datasets for research and
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```

# Introduction

This dataset contains results of two sampling campaigns conducted in
Kwale County Kenya in March and June 2016 by GHS/UPC as part of the Gro
for GooD project.[^1]

[^1]: <https://metadata.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/50cdcbae-bc14-628b-e054-002128a47908>

Water samples from over 79 groundwater and 6 surface water (SW)
locations were analysed for major ions, stable isotopes, selected trace
constituents, electrical conductivity, nitrates, ammonia, pH, DO
(Dissolved Oxygen), Eh (oxidation / reduction potential), Temperature,
TOC (Total Organic Carbon) and field alkalinity. Most locations were
sampled in both March (dry season) and June (wet season).

# Data

This data package has two datasets: `water_samples` and
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## water_samples

This dataset contains data from an analysis of groundwater in Kwale, Kenya. The data was collected once in March and once in June of 2016 for each sampling spot. In total `r nrow(water_samples)` samples were taken in `r nrow(distinct(water_samples, localization))` different localisations that have their geospatial data included in this data package. The sample analysis includes different measurements including conductivity, temperature, pH-values and concentrations of different elements/molecules for the groundwater samples.
This dataset contains data from an analysis of groundwater in Kwale,
Kenya. The data was collected once in March and once in June of 2016 for
each sampling spot. In total `r nrow(water_samples)` samples were taken
in `r nrow(distinct(water_samples, localization))` different
localisations that have their geospatial data included in this data
package. The sample analysis includes different measurements including
conductivity, temperature, pH-values and concentrations of different
elements/molecules for the groundwater samples.

The `water_samples` data set has `r ncol(water_samples)` variables and
`r nrow(water_samples)` observations. For an overview of the variable
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```

## selected_samples
## selected_samples

This dataset contains data from an analysis of groundwater in Kwale, Kenya. The data was collected three weeks in a row at 8 different locations. The sample analysis includes measurements of conductivity, temperature, pH-values and concentrations of different elements/molecules.
This dataset contains data from an analysis of groundwater in Kwale,
Kenya. The data was collected three weeks in a row at 8 different
locations. The sample analysis includes measurements of conductivity,
temperature, pH-values and concentrations of different
elements/molecules.

The `selected_samples` data set has `r ncol(selected_samples)` variables
and `r nrow(selected_samples)` observations. For an overview of the
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citation("grdwtrsmpkwale")
```

## Related References (TBD)

## Related References

[First step to understand the importance of new deep aquifer pumping
regime in groundwater system in a developing country, Kwale,
Kenya](http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16969.pdf);
Ferrer et al, Geophysical Research Abstracts, Vol. 18, EGU2016-16969,
2016;
<https://upgro.files.wordpress.com/2015/09/egu16_groforgood_v1.pdf>;
UPC - The Departement of Civil Enginyering de la Universitat Politecnica
de Catalunya GHS - Grupo de Hidrologia Subterranea
33 changes: 29 additions & 4 deletions README.md
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[![License: CC BY
4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
[![R-CMD-check](https://github.com/openwashdata/grdwtrsmpkwale/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/openwashdata/grdwtrsmpkwale/actions/workflows/R-CMD-check.yaml)

<!-- badges: end -->

The goal of `grdwtrsmpkwale` is to provide datasets for research and
Expand All @@ -33,6 +34,19 @@ file from the table below.
| water_samples | [Download CSV](https://github.com/openwashdata/grdwtrsmpkwale/raw/main/inst/extdata/water_samples.csv) | [Download XLSX](https://github.com/openwashdata/grdwtrsmpkwale/raw/main/inst/extdata/water_samples.xlsx) |
| selected_samples | [Download CSV](https://github.com/openwashdata/grdwtrsmpkwale/raw/main/inst/extdata/selected_samples.csv) | [Download XLSX](https://github.com/openwashdata/grdwtrsmpkwale/raw/main/inst/extdata/selected_samples.xlsx) |

# Introduction

This dataset contains results of two sampling campaigns conducted in
Kwale County Kenya in March and June 2016 by GHS/UPC as part of the Gro
for GooD project.[^1]

Water samples from over 79 groundwater and 6 surface water (SW)
locations were analysed for major ions, stable isotopes, selected trace
constituents, electrical conductivity, nitrates, ammonia, pH, DO
(Dissolved Oxygen), Eh (oxidation / reduction potential), Temperature,
TOC (Total Organic Carbon) and field alkalinity. Most locations were
sampled in both March (dry season) and June (wet season).

# Data

This data package has two datasets: `water_samples` and
Expand Down Expand Up @@ -2720,17 +2734,28 @@ Data are available as

#> To cite package 'grdwtrsmpkwale' in publications use:
#>
#> Zhong M, Loos S (????). _grdwtrsmpkwale: Groundwater analysis from
#> 2016 in Kwale, Kenya_. R package version 0.0.0.9000,
#> Loos S, Zhong M, Hope R (????). _grdwtrsmpkwale: Groundwater analysis
#> from 2016 in Kwale, Kenya_. R package version 0.0.0.9000,
#> <https://github.com/openwashdata/grdwtrsmpkwale>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {grdwtrsmpkwale: Groundwater analysis from 2016 in Kwale, Kenya},
#> author = {Mian Zhong and Sebastian Camilo Loos},
#> author = {Sebastian Camilo Loos and Mian Zhong and Rob Hope},
#> note = {R package version 0.0.0.9000},
#> url = {https://github.com/openwashdata/grdwtrsmpkwale},
#> }

## Related References (TBD)
## Related References

[First step to understand the importance of new deep aquifer pumping
regime in groundwater system in a developing country, Kwale,
Kenya](http://meetingorganizer.copernicus.org/EGU2016/EGU2016-16969.pdf);
Ferrer et al, Geophysical Research Abstracts, Vol. 18, EGU2016-16969,
2016;
<https://upgro.files.wordpress.com/2015/09/egu16_groforgood_v1.pdf>;
UPC - The Departement of Civil Enginyering de la Universitat Politecnica
de Catalunya GHS - Grupo de Hidrologia Subterranea

[^1]: <https://metadata.bgs.ac.uk/geonetwork/srv/eng/catalog.search#/metadata/50cdcbae-bc14-628b-e054-002128a47908>
2 changes: 1 addition & 1 deletion _pkgdown.yml
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components:
custom:
title: Funding
text: This project was funded by the [Global Health Engineering group at ETH Zurich](https://ghe.ethz.ch/) & supported by the [Open Research Data Program of the ETH Board](https://ethrat.ch/en/eth-domain/open-research-data/).
text: This project was funded by the [Open Research Data Program of the ETH Board](https://ethrat.ch/en/eth-domain/open-research-data/).

authors:
footer:
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