R-universe search: epa

ropensci

epair:EPA Data Helper for R

Aid the user in making queries to the EPA API site found at https://aqs.epa.gov/aqsweb/documents/data_api. This package combines API calling methods from various web scraping packages with specific strings to retrieve data from the EPA API. It also contains easy to use loaded variables that help a user navigate services offered by the API and aid the user in determining the appropriate way to make a an API call.

Maintained by G.L. Orozco-Mulfinger. Last updated 3 years ago.

25.4 match 7 stars 4.89 score 11 scripts

usepa

elevatr:Access Elevation Data from Various APIs

Several web services are available that provide access to elevation data. This package provides access to many of those services and returns elevation data either as an 'sf' simple features object from point elevation services or as a 'raster' object from raster elevation services. In future versions, 'elevatr' will drop support for 'raster' and will instead return 'terra' objects. Currently, the package supports access to the Amazon Web Services Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>, the Open Topography Global Datasets API <https://opentopography.org/developers/>, and the USGS Elevation Point Query Service <https://apps.nationalmap.gov/epqs/>.

Maintained by Jeffrey Hollister. Last updated 6 months ago.

digital-elevation-model elevation-data elevatr epa mapzen-elevation-service r-language

11.0 match 206 stars 11.11 score 1.3k scripts 3 dependents

mps9506

echor:Access EPA 'ECHO' Data

An R interface to United States Environmental Protection Agency (EPA) Environmental Compliance History Online ('ECHO') Application Program Interface (API). 'ECHO' provides information about EPA permitted facilities, discharges, and other reporting info associated with permitted entities. Data are obtained from <https://echo.epa.gov/>.

Maintained by Michael Schramm. Last updated 10 months ago.

epa pollution water-quality

28.8 match 9 stars 4.08 score 27 scripts

usepa

httk:High-Throughput Toxicokinetics

Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predictions for chemicals where in vivo data do exist. The models are systems of ordinary differential equations that are developed in MCSim and solved using compiled (C-based) code for speed. A Monte Carlo sampler is included for simulating human biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and propagating parameter uncertainty (Wambaugh et al., 2019 <doi:10.1093/toxsci/kfz205>). Empirically calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for using IVIVE to convert concentrations from high-throughput screening experiments (for example, Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

Maintained by John Wambaugh. Last updated 1 months ago.

comptox ord

10.2 match 27 stars 10.22 score 307 scripts 1 dependents

openintrostat

openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.

Maintained by Mine Çetinkaya-Rundel. Last updated 2 months ago.

data openintro

7.5 match 240 stars 11.39 score 6.0k scripts

mps9506

rATTAINS:Access EPA 'ATTAINS' Data

An R interface to United States Environmental Protection Agency (EPA) Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation System ('ATTAINS') data. 'ATTAINS' is the EPA database used to track information provided by states about water quality assessments conducted under federal Clean Water Act requirements. ATTAINS information and API information is available at <https://www.epa.gov/waterdata/attains>.

Maintained by Michael Schramm. Last updated 2 years ago.

data epa water-quality

15.1 match 8 stars 4.60 score 10 scripts

moviedo5

fda.usc:Functional Data Analysis and Utilities for Statistical Computing

Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.

Maintained by Manuel Oviedo de la Fuente. Last updated 4 months ago.

functional-data-analysis fortran

6.8 match 12 stars 9.72 score 560 scripts 22 dependents

usepa

RAQSAPI:A Simple Interface to the US EPA Air Quality System Data Mart API

Retrieve air monitoring data and associated metadata from the US Environmental Protection Agency's Air Quality System service using functions. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details about the US EPA Data Mart API.

Maintained by Clinton Mccrowey. Last updated 9 months ago.

united state environmental protection agency environmental-data-retrieval air-quality-system aqs-datamart air-monitoring environmental-monitoring airmonitoring aqs datamart r03 rprogramming usepa

8.4 match 21 stars 6.64 score 32 scripts

pepijn-devries

ECOTOXr:Download and Extract Data from US EPA's ECOTOX Database

The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database <doi:10.1016/j.chemosphere.2024.143078>.

Maintained by Pepijn de Vries. Last updated 4 days ago.

8.7 match 10 stars 6.20 score 6 scripts

ropensci

webchem:Chemical Information from the Web

Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.

Maintained by Tamás Stirling. Last updated 3 months ago.

cas-number chemical-information chemspider identifier ropensci webscraping

5.1 match 165 stars 10.31 score 173 scripts 10 dependents

doi-usgs

dataRetrieval:Retrieval Functions for USGS and EPA Hydrology and Water Quality Data

Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services. Data are discovered from National Water Information System <https://waterservices.usgs.gov/> and <https://waterdata.usgs.gov/nwis>. Water quality data are obtained from the Water Quality Portal <https://www.waterqualitydata.us/>.

Maintained by Laura DeCicco. Last updated 17 days ago.

usgs

2.8 match 280 stars 14.18 score 1.7k scripts 15 dependents

alexkowa

EnvStats:Package for Environmental Statistics, Including US EPA Guidance

Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the literature and regulatory guidance documents, with extensive help that explains what these methods do, how to use them, and where to find them in the literature. Numerous built-in data sets from regulatory guidance documents and environmental statistics literature. Includes scripts reproducing analyses presented in the book "EnvStats: An R Package for Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4, <doi:10.1007/978-1-4614-8456-1>).

Maintained by Alexander Kowarik. Last updated 16 days ago.

2.9 match 26 stars 12.80 score 2.4k scripts 46 dependents

usepa

pTITAN2:Permutations of Treatment Labels and TITAN2 Analysis

Permute treatment labels for taxa and environmental gradients to generate an empirical distribution of change points. This is an extension for the 'TITAN2' package <https://cran.r-project.org/package=TITAN2>.

Maintained by Peter DeWitt. Last updated 3 years ago.

epa-unknown

7.5 match 1 stars 3.70 score 7 scripts

hadley

fueleconomy:EPA Fuel Economy Data

Fuel economy data from the EPA, 1985-2015, conveniently packaged for consumption by R users.

Maintained by Hadley Wickham. Last updated 5 years ago.

3.7 match 16 stars 6.30 score 176 scripts 2 dependents

c1au6i0

extractox:Extract Tox Info from Various Databases

Extract toxicological and chemical information from databases maintained by scientific agencies and resources, including the Comparative Toxicogenomics Database <https://ctdbase.org/>, the Integrated Chemical Environment <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System <https://cfpub.epa.gov/ncea/iris/>, Provisional Peer-Reviewed Toxicity Values <https://www.epa.gov/pprtv/provisional-peer-reviewed-toxicity-values-pprtvs-assessments>, the CompTox Chemicals Dashboard Resource Hub <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>, PubChem <https://pubchem.ncbi.nlm.nih.gov/>, and others.

Maintained by Claudio Zanettini. Last updated 1 months ago.

4.6 match 3 stars 4.59 score 3 scripts

nflverse

nflfastR:Functions to Efficiently Access NFL Play by Play Data

A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

Maintained by Ben Baldwin. Last updated 2 months ago.

american-football football-data nfl nflstats nflverse sports-analytics

2.0 match 442 stars 10.40 score 596 scripts 3 dependents

hsonne

swmmr:R Interface for US EPA's SWMM

Functions to connect the widely used Storm Water Management Model (SWMM) of the United States Environmental Protection Agency (US EPA) <https://www.epa.gov/water-research/storm-water-management-model-swmm> to R with currently two main goals: (1) Run a SWMM simulation from R and (2) provide fast access to simulation results, i.e. SWMM's binary '.out'-files. High performance is achieved with help of Rcpp. Additionally, reading SWMM's '.inp' and '.rpt' files is supported to glance model structures and to get direct access to simulation summaries.

Maintained by Dominik Leutnant. Last updated 3 years ago.

cpp

3.8 match 4.92 score 31 scripts 2 dependents

himesgroup

raqs:Interface to the US EPA Air Quality System (AQS) API

Offers functions for fetching JSON data from the US EPA Air Quality System (AQS) API with options to comply with the API rate limits. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details of the AQS API.

Maintained by Jaehyun Joo. Last updated 1 years ago.

5.3 match 3.18 score 4 scripts 1 dependents

mazamascience

MazamaSpatialUtils:Spatial Data Download and Utility Functions

A suite of conversion functions to create internally standardized spatial polygons data frames. Utility functions use these data sets to return values such as country, state, time zone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)

Maintained by Jonathan Callahan. Last updated 4 months ago.

1.9 match 5 stars 8.09 score 282 scripts 2 dependents

atmoschem

vein:Vehicular Emissions Inventories

Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.

Maintained by Sergio Ibarra-Espinosa. Last updated 1 months ago.

atmoschem atmospheric-chemistry atmospheric-science atmospheric-sciences emissions emissions-model vehicular-emissions-inventories vein fortran openmp

1.7 match 46 stars 8.65 score 137 scripts

cran

relsurv:Relative Survival

Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.

Maintained by Damjan Manevski. Last updated 2 months ago.

openblas cpp

3.3 match 3 stars 4.42 score 4 dependents

niehs

amadeus:Accessing and Analyzing Large-Scale Environmental Data

Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

Maintained by Kyle Messier. Last updated 19 days ago.

1.7 match 8 stars 7.16 score 13 scripts

kwb-r

kwb.swmm:R Package with Functions for Working with EPA`s Storm Water Management Model (SWMM)

R package with functions for working with EPA`s Storm Water Management Model [SWMM](https://www.epa.gov/water-research/storm-water-management-model-swmm).

Maintained by Michael Rustler. Last updated 12 months ago.

project-keys stormwater-management-model swmm

3.5 match 3.18 score 2 scripts 1 dependents

mazamascience

AirMonitor:Air Quality Data Analysis

Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.

Maintained by Jonathan Callahan. Last updated 6 months ago.

1.7 match 7 stars 6.57 score 178 scripts

bioc

RMassBank:Workflow to process tandem MS files and build MassBank records

Workflow to process tandem MS files and build MassBank records. Functions include automated extraction of tandem MS spectra, formula assignment to tandem MS fragments, recalibration of tandem MS spectra with assigned fragments, spectrum cleanup, automated retrieval of compound information from Internet databases, and export to MassBank records.

Maintained by RMassBank at Eawag. Last updated 5 months ago.

immunooncology bioinformatics massspectrometry metabolomics software openjdk

1.8 match 6.19 score 26 scripts

cran

jgsbook:Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann

All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.

Maintained by Jörg große Schlarmann. Last updated 9 months ago.

4.0 match 2.18 score

ipeagit

gtfs2emis:Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data

A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.

Maintained by Joao Bazzo. Last updated 2 months ago.

emissions environmental-modelling gtfs public-transport rspatial transport

1.1 match 28 stars 7.47 score 29 scripts

usepa

ctxR:Utilities for Interacting with the 'CTX' APIs

Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.

Maintained by Paul Kruse. Last updated 2 months ago.

ccte comptox ord

1.0 match 10 stars 8.02 score 13 scripts 1 dependents

cran

ecotoxicology:Methods for Ecotoxicology

Implementation of the EPA's Ecological Exposure Research Division (EERD) tools (discontinued in 1999) for Probit and Trimmed Spearman-Karber Analysis. Probit and Spearman-Karber methods from Finney's book "Probit analysis a statistical treatment of the sigmoid response curve" with options for most accurate results or identical results to the book. Probit and all the tables from Finney's book (code-generated, not copied) with the generating functions included. Control correction: Abbott, Schneider-Orelli, Henderson-Tilton, Sun-Shepard. Toxicity scales: Horsfall-Barratt, Archer, Gauhl-Stover, Fullerton-Olsen, etc.

Maintained by Jose Gama. Last updated 9 years ago.

3.9 match 3 stars 1.89 score 26 scripts

ropenspain

MicroDatosEs:Utilities for Official Spanish Microdata

Provides utilities for reading and processing microdata from Spanish official statistics with R.

Maintained by Carlos J. Gil Bellosta. Last updated 1 years ago.

1.7 match 13 stars 4.04 score 17 scripts

kevinjaunatre

extremefit:Estimation of Extreme Conditional Quantiles and Probabilities

Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.

Maintained by Kevin Jaunatre. Last updated 6 years ago.

2.3 match 1 stars 3.07 score 39 scripts 1 dependents

usepa

ccdR:Utilities for Interacting with the 'CTX' APIs

Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://api-ccte.epa.gov/docs/>. 'ccdR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.

Maintained by Paul Kruse. Last updated 8 months ago.

1.0 match 2 stars 6.38 score 7 scripts

doi-usgs

nhdplusTools:NHDPlus Tools

Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.

Maintained by David Blodgett. Last updated 24 days ago.

0.5 match 87 stars 11.38 score 348 scripts 5 dependents

usepa

tcpl:ToxCast Data Analysis Pipeline

The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.

Maintained by Jason Brown. Last updated 2 days ago.

ccte comptox ord

0.5 match 36 stars 9.41 score 90 scripts

brownandcaldwell-public

tidywater:Water Quality Models for Drinking Water Treatment Processes

Provides multiple water chemistry-based models and published empirical models in one standard format. Functions can be chained together to model a complete treatment process and are designed to work in a 'tidyverse' workflow. Models are primarily based on these sources: Benjamin, M. M. (2002, ISBN:147862308X), Crittenden, J. C., Trussell, R., Hand, D., Howe, J. K., & Tchobanoglous, G., Borchardt, J. H. (2012, ISBN:9781118131473), USEPA. (2001) <https://www.epa.gov/sites/default/files/2017-03/documents/wtp_model_v._2.0_manual_508.pdf>.

Maintained by Sierra Johnson. Last updated 2 months ago.

0.5 match 11 stars 6.66 score 14 scripts

jsta

nhdR:Tools for Working with the National Hydrography Dataset

Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/national-hydrography> and NHDPlus <https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus> datasets.

Maintained by Jemma Stachelek. Last updated 2 years ago.

geospatial national-hydrography-dataset nhd water-quality water-resources

0.5 match 38 stars 6.48 score 53 scripts

cran

DOvalidation:Kernel Hazard Estimation with Best One-Sided and Double One-Sided Cross-Validation

Local linear hazard estimator and its multiplicatively bias correction, including three bandwidth selection methods: best one-sided cross-validation, double one-sided cross-validation, and standard cross-validation.

Maintained by Maria Dolores Martinez-Miranda. Last updated 7 years ago.

2.3 match 1 stars 1.23 score 17 scripts

massbays-tech

MassWateR:Quality Control and Analysis of Massachusetts Water Quality Data

Methods for quality control and exploratory analysis of surface water quality data collected in Massachusetts, USA. Functions are developed to facilitate data formatting for the Water Quality Exchange Network <https://www.epa.gov/waterdata/water-quality-data-upload-wqx> and reporting of data quality objectives to state agencies. Quality control methods are from Massachusetts Department of Environmental Protection (2020) <https://www.mass.gov/orgs/massachusetts-department-of-environmental-protection>.

Maintained by Marcus Beck. Last updated 9 days ago.

0.5 match 13 stars 5.26 score 10 scripts

noaa-ocm

SWMPrExtension:Functions for Analyzing and Plotting Estuary Monitoring Data

Tools for performing routine analysis and plotting tasks with environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. This package builds on the functionality of the 'SWMPr' package <https://cran.r-project.org/package=SWMPr>, which is used to retrieve and organize the data. The combined set of tools address common challenges associated with continuous time series data for environmental decision making, and are intended for use in annual reporting activities. References: Beck, Marcus W. (2016) <ISSN 2073-4859><https://journal.r-project.org/archive/2016-1/beck.pdf> Rudis, Bob (2014) <https://rud.is/b/2014/11/16/moving-the-earth-well-alaska-hawaii-with-r/>. United States Environmental Protection Agency (2015) <https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=OWOW&dirEntryId=327030>. United States Environmental Protection Agency (2012) <https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.646.1973&rep=rep1&type=pdf>.

Maintained by Matt Dornback. Last updated 2 years ago.

0.5 match 12 stars 5.10 score 42 scripts

poissonconsulting

wqbench:Calculate Aquatic Life Benchmarks

Download recent versions of the US EPA ECOTOX database. Clean, standardize and classify data so values are comparable. Use a SSD or deterministic method to determine the critical toxicity value and assessment factors to compute the aquatic life water quality benchmark for a compound.

Maintained by Angeline Tillmanns. Last updated 2 months ago.

0.5 match 4.86 score 5 scripts 1 dependents

bradleyjeck

epanetReader:Read Epanet Files into R

Reads water network simulation data in 'Epanet' text-based '.inp' and '.rpt' formats into R. Also reads results from 'Epanet-msx'. Provides basic summary information and plots. The README file has a quick introduction. See <http://www2.epa.gov/water-research/epanet> for more information on the Epanet software for modeling hydraulic and water quality behavior of water piping systems.

Maintained by Bradley Eck. Last updated 7 years ago.

epanet epanet-simulation water

0.5 match 17 stars 4.86 score 43 scripts

cran

sicure:Single-Index Mixture Cure Models

Single-index mixture cure models allow estimating the probability of cure and the latency depending on a vector (or functional) covariate, avoiding the curse of dimensionality. The vector of parameters that defines the model can be estimated by maximum likelihood. A nonparametric estimator for the conditional density of the susceptible population is provided. For more details, see Piñeiro-Lamas (2024) (<https://ruc.udc.es/dspace/handle/2183/37035>).

Maintained by Beatriz Piñeiro-Lamas. Last updated 4 months ago.

2.3 match 1.00 score

iembry

chem.databases:Collection of 3 Chemical Databases from Public Sources

Contains the Multi-Species Acute Toxicity Database (CAS & SMILES columns only) [United States (US) Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Cancer Institute (NCI), "Multi-Species Acute Toxicity Database", <https://cactus.nci.nih.gov/download/acute-toxicity-db/>] combined with the Toxic Substances Control Act (TSCA) Inventory [United States Environmental Protection Agency (US EPA), "Toxic Substances Control Act (TSCA) Chemical Substance Inventory", <https://www.epa.gov/tsca-inventory/how-access-tsca-inventory} and <https://cdxapps.epa.gov/oms-substance-registry-services/substance-list-details/169>] and the Agency for Toxic Substances and Disease Registry (ATSDR) Database [United States (US) Department of Health and Human Services (DHHS) Centers for Disease Control and Prevention (CDC)/Agency for Toxic Substances and Disease Registry (ATSDR), "Agency for Toxic Substances and Disease Registry (ATSDR) Database", <https://cdxapps.epa.gov/oms-substance-registry-services/substance-list-details/105>] in 2 data sets. One data set has a focus on the latter 2 databases and one data set focuses on the former database. Also contains the collection of chemical data from Wikipedia compiled in the US EPA CompTox Chemicals Dashboard [United States Environmental Protection Agency (US EPA) / Wikimedia Foundation, Inc. "CompTox Chemicals Dashboard v2.2.1", <https://comptox.epa.gov/dashboard/chemical-lists/WIKIPEDIA>].

Maintained by Irucka Embry. Last updated 1 years ago.

1.0 match 1.70 score

jsta

nesRdata:National Eutrophication Survey Data

Serves data from the United States Environmental Protection Agency (USEPA) National Eutrophication Survey <https://www.epa.gov/national-aquatic-resource-surveys>.

Maintained by Jemma Stachelek. Last updated 1 years ago.

hydrology water-quality

0.5 match 3 stars 3.18 score 9 scripts

cran

sudoku:Sudoku Puzzle Generator and Solver

Generates, plays, and solves Sudoku puzzles. The GUI playSudoku() needs package "tkrplot" if you are not on Windows.

Maintained by David Brahm. Last updated 3 years ago.

1.6 match 1.00 score

jaehyunjoo

pargasite:Pollution-Associated Risk Geospatial Analysis Site

Offers tools to estimate and visualize levels of major pollutants (CO, NO2, SO2, Ozone, PM2.5 and PM10) across the conterminous United States for user-defined time ranges. Provides functions to retrieve pollutant data from the U.S. Environmental Protection Agency’s 'Air Quality System' (AQS) API service <https://aqs.epa.gov/aqsweb/documents/data_api.html> for interactive visualization through a 'shiny' application, allowing users to explore pollutant levels for a given location over time relative to the National Ambient Air Quality Standards (NAAQS).

Maintained by Jaehyun Joo. Last updated 4 months ago.

0.5 match 3.00 score 7 scripts

garciadejalon

TreeDep:Air Pollution Removal by Dry Deposition on Trees

The model estimates air pollution removal by dry deposition on trees. It also estimates or uses hourly values for aerodynamic resistance, boundary layer resistance, canopy resistance, stomatal resistance, cuticular resistance, mesophyll resistance, soil resistance, friction velocity and deposition velocity. It also allows plotting graphical results for a specific time period. The pollutants are nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide and particulate matter. Baldocchi D (1994) <doi:10.1093/treephys/14.7-8-9.1069>. Farquhar GD, von Caemmerer S, Berry JA (1980) Planta 149: 78-90. Hirabayashi S, Kroll CN, Nowak DJ (2015) i-Tree Eco Dry Deposition Model. Nowak DJ, Crane DE, Stevens JC (2006) <doi:10.1016/j.ufug.2006.01.007>. US EPA (1999) PCRAMMET User's Guide. EPA-454/B-96-001. Weiss A, Norman JM (1985) Agricultural and Forest Meteorology 34: 205—213.

Maintained by Silvestre Garcia de Jalon. Last updated 6 years ago.

0.8 match 1.69 score 49 scripts

marsdu1989

con2aqi:Calculate the AQI from Pollutant Concentration

To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO2, and NO2 are available currently. The method can be referenced at Environmental Protection Agency, United States as follows: EPA (2016) <https://www3.epa.gov/airnow/aqi-technical-assistance-document-may2016.pdf>.

Maintained by Zhicheng Du. Last updated 7 years ago.

0.8 match 1.28 score 19 scripts

kwb-r

kwb.epanet:R Package for Interfacing EPANET

Functions enabling the reading and writing of EPANET (http://www.epa.gov/nrmrl/wswrd/dw/epanet.html) input files and reading of output files.

Maintained by Hauke Sonnenberg. Last updated 3 years ago.

epanet modelling pipe-network project-optiwells2

0.5 match 1.70 score 1 scripts