README.md

cleanventory.data

A ZeroPM R package

The goal of cleanventory.data is to provide easy access to the data sets as created by the cleanventory package.

cleanventory.data aims to have correctly identified all missing values in the data sets, all CAS Registry Numbers validated (when present) and additionally all special characters are transformed into ASCII characters.

As such, it comes with no additional dependencies.

We suggest the following packages/functionalities in addition: bit64::as.integer64() to correctly handle the us_tsca$cas_reg_no column (kept as double for compatibility).

As of 2022-09-14, the following inventories are included:

Chemical Inventory	Name	Version(s)	URL
US EPA TSCA	us_tsca	2021-08	https://www.epa.gov/tsca-inventory
EU CLP Annex VI	eu_clp_09 eu_clp_10 eu_clp_13 eu_clp_14 eu_clp_15 eu_clp_17	9, 10, 13, 14, 15, 17	https://echa.europa.eu/en/information-on-chemicals/annex-vi-to-clp
EU ECI	eu_eci	Unknown	https://echa.europa.eu/information-on-chemicals/ec-inventory
Japan NITE	jp_nite	March 2022	https://www.nite.go.jp/chem/english/ghs/ghs_download.html
New Zealand IoC	nz_ioc	December 2021	https://www.epa.govt.nz/database-search/new-zealand-inventory-of-chemicals-nzioc/
South Korea NCIS	kr_ncis	4 May 2022	https://ncis.nier.go.kr/en/mttrList.do
Australia HSIC	au_hcis	Unknown	http://hcis.safeworkaustralia.gov.au/HazardousChemical
Australia ICI	au_ici	10 February 2022	https://www.industrialchemicals.gov.au/search-inventory
Taiwan TCSI	tw_csi	1 January 2019, 8 September 2019	https://gazette.nat.gov.tw/egFront/detail.do?metaid=73440&log=detailLog, https://gazette.nat.gov.tw/egFront/detail.do?metaid=78617&log=detailLog
Philippine ICCS	ph_iccs ph_emb_mc_07 ph_emb_mc_08	2017, 2020, 2021	https://chemical.emb.gov.ph/?page_id=138
Japan CSCL	jp_cscl_ecs jp_cscl_nacs_1 jp_cscl_nacs_2	31 May 2022 31 May 2022 1 April 2022	https://www.nite.go.jp/en/chem/chrip/chrip_search/sltLst
Canada DSL	ca_dsl	14 June 2022	https://pollution-waste.canada.ca/substances-search/Substance?lang=en
China IECSC	cn_iecsc	2013	https://www.mee.gov.cn/gkml/hbb/bgg/201301/t20130131_245810.htm
Nordics SPIN	xn_spin	2000	http://www.spin2000.net/spinmyphp/
US CDR	us_cdr_2016_ccu us_cdr_2016_iu us_cdr_2016_mi us_cdr_2016_napv us_cdr_2020_ccu us_cdr_2020_ipu us_cdr_2020_mii us_cdr_2020_napv	2016 2020	https://www.epa.gov/chemical-data-reporting
Malaysia CIMS	my_cims	2017	https://cims.dosh.gov.my/

Installation

You can install the development version of cleanventory.data from GitHub with:

# install.packages("remotes")
remotes::install_github("ZeroPM-H2020/cleanventory.data")

Example

The data sets are immediately available when loading the package.

library(cleanventory.data)
str(eu_clp_17)
#> 'data.frame':    4702 obs. of  4 variables:
#>  $ index_no                             : chr  "001-001-00-9" "001-002-00-4" "001-003-00-X" "001-004-00-5" ...
#>  $ international_chemical_identification: chr  "hydrogen" "aluminium lithium hydride" "sodium hydride" "calcium hydride" ...
#>  $ ec_no                                : chr  "215-605-7" "240-877-9" "231-587-3" "232-189-2" ...
#>  $ cas_no                               : chr  "1333-74-0" "16853-85-3" "7646-69-7" "7789-78-8" ...

Acknowledgement

This R package was developed at the Norwegian Geotechnical Institute (NGI) as part of the project ZeroPM: Zero pollution of Persistent, Mobile substances. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036756.

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If you find this package useful and can afford it, please consider making a donation to a humanitarian non-profit organization, such as Sea-Watch. Thank you.