Showing 49 of total 49 results (show query)
tbep-tech
tbeptools:Data and Indicators for the Tampa Bay Estuary Program
Several functions are provided for working with Tampa Bay Estuary Program data and indicators, including the water quality report card, tidal creek assessments, Tampa Bay Nekton Index, Tampa Bay Benthic Index, seagrass transect data, habitat report card, and fecal indicator bacteria. Additional functions are provided for miscellaneous tasks, such as reference library curation.
Maintained by Marcus Beck. Last updated 10 days ago.
data-analysistampa-baytbepwater-quality
20.7 match 10 stars 7.86 score 133 scripts
mindthegap-erc
admtools:Estimate and Manipulate Age-Depth Models
Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.
Maintained by Niklas Hohmann. Last updated 3 months ago.
age-depth-modelgeochronologysedimentologystratigraphy
22.9 match 4 stars 7.01 score 34 scripts 1 dependents
troyhill
coreCT:Programmatic Analysis of Sediment Cores Using Computed Tomography Imaging
Computed tomography (CT) imaging is a powerful tool for understanding the composition of sediment cores. This package streamlines and accelerates the analysis of CT data generated in the context of environmental science. Included are tools for processing raw DICOM images to characterize sediment composition (sand, peat, etc.). Root analyses are also enabled, including measures of external surface area and volumes for user-defined root size classes. For a detailed description of the application of computed tomography imaging for sediment characterization, see: Davey, E., C. Wigand, R. Johnson, K. Sundberg, J. Morris, and C. Roman. (2011) <DOI: 10.1890/10-2037.1>.
Maintained by Troy D. Hill. Last updated 4 years ago.
biomasscomputed-tomographysedimentsediment-core
22.2 match 3 stars 4.41 score 17 scripts
cran
compositions:Compositional Data Analysis
Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Maintained by K. Gerald van den Boogaart. Last updated 1 years ago.
10.4 match 1 stars 6.35 score 36 dependents
ropensci
tidyhydat:Extract and Tidy Canadian 'Hydrometric' Data
Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Maintained by Sam Albers. Last updated 5 days ago.
citzgovernment-datahydrologyhydrometricstidy-datawater-resources
6.8 match 71 stars 9.59 score 202 scripts 3 dependents
maarten14c
rbacon:Age-Depth Modelling using Bayesian Statistics
An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
Maintained by Maarten Blaauw. Last updated 26 days ago.
age-depth-modelbayesianholocenelakesocean-sedimentspeatradiocarbon-calibrationcpp
7.5 match 7 stars 6.75 score 57 scripts 1 dependents
earthsystemdiagnostics
sedproxy:Simulation of Sediment Archived Climate Proxy Records
Proxy forward modelling for sediment archived climate proxies such as Mg/Ca, d18O or Alkenones. The user provides a hypothesised "true" past climate, such as output from a climate model, and details of the sedimentation rate and sampling scheme of a sediment core. Sedproxy returns simulated proxy records. Implements the methods described in Dolman and Laepple (2018) <doi:10.5194/cp-14-1851-2018>.
Maintained by Andrew Dolman. Last updated 1 months ago.
9.8 match 7 stars 5.10 score 18 scripts
r-spatial
gstat:Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Maintained by Edzer Pebesma. Last updated 11 days ago.
3.4 match 197 stars 14.78 score 4.8k scripts 57 dependents
neonscience
neonUtilities:Utilities for Working with NEON Data
NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org> or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Maintained by Claire Lunch. Last updated 1 months ago.
3.5 match 57 stars 10.66 score 944 scripts 15 dependents
jinli22
spm:Spatial Predictive Modeling
Introduction to some novel accurate hybrid methods of geostatistical and machine learning methods for spatial predictive modelling. It contains two commonly used geostatistical methods, two machine learning methods, four hybrid methods and two averaging methods. For each method, two functions are provided. One function is for assessing the predictive errors and accuracy of the method based on cross-validation. The other one is for generating spatial predictions using the method. For details please see: Li, J., Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010) <https:www.ga.gov.au/metadata-gateway/metadata/record/gcat_71407> Li, J., Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011) <doi:10.1016/j.csr.2011.05.015> Li, J., Heap, A. D., Potter, A. and Daniell, J. (2011) <doi:10.1016/j.envsoft.2011.07.004> Li, J., Potter, A., Huang, Z. and Heap, A. (2012) <https:www.ga.gov.au/metadata-gateway/metadata/record/74030>.
Maintained by Jin Li. Last updated 3 years ago.
6.5 match 3 stars 5.46 score 107 scripts 3 dependents
dlivsey
realTimeloads:Analyte Flux and Load from Estimates of Concentration and Discharge
Flux (mass per unit time) and Load (mass) are computed from timeseries estimates of analyte concentration and discharge. Concentration timeseries are computed from regression between surrogate and user-provided analyte. Uncertainty in calculations is estimated using bootstrap resampling. Code for the processing of acoustic backscatter from horizontally profiling acoustic Doppler current profilers is provided. All methods detailed in Livsey et al (2020) <doi:10.1007/s12237-020-00734-z>, Livsey et al (2023) <doi:10.1029/2022WR033982>, and references therein.
Maintained by Daniel Livsey. Last updated 1 years ago.
8.3 match 1 stars 3.70 score 7 scripts
arsilva87
soilphysics:Soil Physical Analysis
Basic and model-based soil physical analyses.
Maintained by Anderson Rodrigo da Silva. Last updated 3 years ago.
5.9 match 11 stars 4.83 score 12 scripts
jranke
mkin:Kinetic Evaluation of Chemical Degradation Data
Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Non-constant errors can be taken into account using variance by variable or two-component error models <doi:10.3390/environments6120124>. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end <doi:10.3390/environments8080071>. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Maintained by Johannes Ranke. Last updated 1 months ago.
degradationfocus-kineticskinetic-modelskineticsodeode-model
3.3 match 11 stars 8.18 score 78 scripts 1 dependents
mcomas
coda.base:A Basic Set of Functions for Compositional Data Analysis
A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.
Maintained by Marc Comas-Cufí. Last updated 1 years ago.
3.6 match 7 stars 6.93 score 81 scripts
nsj3
rioja:Analysis of Quaternary Science Data
Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.
Maintained by Steve Juggins. Last updated 6 months ago.
3.4 match 10 stars 7.21 score 191 scripts 3 dependents
r-forge
deSolve:Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')
Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
Maintained by Thomas Petzoldt. Last updated 1 years ago.
1.9 match 12.33 score 8.0k scripts 427 dependentscran
astrochron:A Computational Tool for Astrochronology
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Maintained by Stephen Meyers. Last updated 6 months ago.
8.4 match 5 stars 2.70 score
coffeemuggler
sandbox:Probabilistic Numerical Modelling of Sediment Properties
A flexible framework for definition and application of time/depth- based rules for sets of parameters for single grains that can be used to create artificial sediment profiles. Such profiles can be used for virtual sample preparation and synthetic, for instance, luminescence measurements.
Maintained by Michael Dietze. Last updated 8 months ago.
5.3 match 1 stars 4.09 score 248 scriptscran
NADA:Nondetects and Data Analysis for Environmental Data
Contains methods described by Dennis Helsel in his book "Nondetects And Data Analysis: Statistics for Censored Environmental Data".
Maintained by Lopaka Lee. Last updated 5 years ago.
3.8 match 2 stars 5.48 score 118 scripts 14 dependents
opengeos
whitebox:'WhiteboxTools' R Frontend
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
Maintained by Andrew Brown. Last updated 5 months ago.
geomorphometrygeoprocessinggeospatialgishydrologyremote-sensingrstudio
2.0 match 173 stars 9.65 score 203 scripts 2 dependents
cran
trend:Non-Parametric Trend Tests and Change-Point Detection
The analysis of environmental data often requires the detection of trends and change-points. This package includes tests for trend detection (Cox-Stuart Trend Test, Mann-Kendall Trend Test, (correlated) Hirsch-Slack Test, partial Mann-Kendall Trend Test, multivariate (multisite) Mann-Kendall Trend Test, (Seasonal) Sen's slope, partial Pearson and Spearman correlation trend test), change-point detection (Lanzante's test procedures, Pettitt's test, Buishand Range Test, Buishand U Test, Standard Normal Homogeinity Test), detection of non-randomness (Wallis-Moore Phase Frequency Test, Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test) and the two sample Robust Rank-Order Distributional Test.
Maintained by Thorsten Pohlert. Last updated 1 years ago.
3.4 match 3 stars 5.31 score 9 dependents
karlines
LIM:Linear Inverse Model Examples and Solution Methods
Functions that read and solve linear inverse problems (food web problems, linear programming problems). These problems find solutions to linear or quadratic functions: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi) subject to equality constraints Ex=f and inequality constraints Gx>=h.
Maintained by Karline Soetaert. Last updated 1 years ago.
3.3 match 4.28 score 32 scripts 1 dependents
ivanlizaga
fingerPro:Sediment Source Fingerprinting
Quantifies the provenance of the sediments in a catchment or study area. Based on a comprehensive characterization of the sediment sources and the end sediment mixtures a mixing model algorithm is applied to the sediment mixtures in order to estimate the relative contribution of each potential source. The package includes several statistical methods such as Kruskal-Wallis test, discriminant function analysis ('DFA'), principal component plot ('PCA') to select the optimal subset of tracer properties. The variability within each sediment source is also considered to estimate the statistical distribution of the sources contribution.
Maintained by Ivan Lizaga. Last updated 7 years ago.
12.4 match 1.11 score 13 scriptsmaarten14c
coffee:Chronological Ordering for Fossils and Environmental Events
While individual calibrated radiocarbon dates can span several centuries, combining multiple dates together with any chronological constraints can make a chronology much more robust and precise. This package uses Bayesian methods to enforce the chronological ordering of radiocarbon and other dates, for example for trees with multiple radiocarbon dates spaced at exactly known intervals (e.g., 10 annual rings). For methods see Christen 2003 <doi:10.11141/ia.13.2>. Another example is sites where the relative chronological position of the dates is taken into account - the ages of dates further down a site must be older than those of dates further up (Buck, Kenworthy, Litton and Smith 1991 <doi:10.1017/S0003598X00080534>; Nicholls and Jones 2001 <doi:10.1111/1467-9876.00250>). The paper accompanying this R package is Blaauw et al. 2024 <doi:10.1017/RDC.2024.56>.
Maintained by Maarten Blaauw. Last updated 3 months ago.
1.7 match 7 stars 6.02 score 6 scripts
andrewcparnell
Bchron:Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling
Enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); age-depth modelling as per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level rate estimation incorporating time uncertainty in polynomial regression models (Parnell and Gehrels 2015) <DOI:10.1002/9781118452547.ch32>; non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the Oxcal function SUM; currently unpublished), and reverse calibration of dates from calibrated into un-calibrated years (also unpublished).
Maintained by Andrew Parnell. Last updated 2 years ago.
1.3 match 36 stars 8.09 score 176 scripts 1 dependents
ecologyr
BlueCarbon:Estimation of Organic Carbon Stocks and Sequestration Rates from Soil Core Data
Tools to estimate soil organic carbon stocks and sequestration rates in blue carbon ecosystems. 'BlueCarbon' contains functions to estimate and correct for core compaction, estimate sample thickness, estimate organic carbon content from organic matter content, estimate organic carbon stocks and sequestration rates, and visualize the error of carbon stock extrapolation.
Maintained by Nerea Piñeiro-Juncal. Last updated 11 days ago.
1.9 match 6 stars 5.26 score 2 scripts
jomopo
BINCOR:Estimate the Correlation Between Two Irregular Time Series
Estimate the correlation between two irregular time series that are not necessarily sampled on identical time points. This program is also applicable to the situation of two evenly spaced time series that are not on the same time grid. 'BINCOR' is based on a novel estimation approach proposed by Mudelsee (2010, 2014) to estimate the correlation between two climate time series with different timescales. The idea is that autocorrelation (AR1 process) allows to correlate values obtained on different time points. 'BINCOR' contains four functions: bin_cor() (the main function to build the binned time series), plot_ts() (to plot and compare the irregular and binned time series, cor_ts() (to estimate the correlation between the binned time series) and ccf_ts() (to estimate the cross-correlation between the binned time series).
Maintained by Josué M. Polanco-Martínez. Last updated 7 years ago.
6.5 match 1.48 score 5 scripts
blasbenito
virtualPollen:Simulating Pollen Curves from Virtual Taxa with Different Life and Niche Traits
Tools to generate virtual environmental drivers with a given temporal autocorrelation, and to simulate pollen curves at annual resolution over millennial time-scales based on these drivers and virtual taxa with different life traits and niche features. It also provides the means to simulate quasi-realistic pollen-data conditions by applying simulated accumulation rates and given depth intervals between consecutive samples.
Maintained by Blas M. Benito. Last updated 3 years ago.
1.8 match 5 stars 4.40 score 5 scripts
reg-gallon
G2Sd:Grain-Size Statistics and Description of Sediment
Full descriptive statistics, physical description of sediment, metric or phi sieves.
Maintained by Regis K. Gallon. Last updated 9 years ago.
7.6 match 1.00 score 4 scripts
jedick
chem16S:Chemical Metrics for Microbial Communities
Combines taxonomic classifications of high-throughput 16S rRNA gene sequences with reference proteomes of archaeal and bacterial taxa to generate amino acid compositions of community reference proteomes. Calculates chemical metrics including carbon oxidation state ('Zc'), stoichiometric oxidation and hydration state ('nO2' and 'nH2O'), H/C, N/C, O/C, and S/C ratios, grand average of hydropathicity ('GRAVY'), isoelectric point ('pI'), protein length, and average molecular weight of amino acid residues. Uses precomputed reference proteomes for archaea and bacteria derived from the Genome Taxonomy Database ('GTDB'). Also includes reference proteomes derived from the NCBI Reference Sequence ('RefSeq') database and manual mapping from the 'RDP Classifier' training set to 'RefSeq' taxonomy as described by Dick and Tan (2023) <doi:10.1007/s00248-022-01988-9>. Processes taxonomic classifications in 'RDP Classifier' format or OTU tables in 'phyloseq-class' objects from the Bioconductor package 'phyloseq'.
Maintained by Jeffrey Dick. Last updated 7 days ago.
16s-rrnacarbon-oxidation-statechemical-metricsgenomic-adaptationmicrobial-communities
1.3 match 4 stars 5.92 score 8 scripts
dkneis
rodeo:A Code Generator for ODE-Based Models
Provides an R6 class and several utility methods to facilitate the implementation of models based on ordinary differential equations. The heart of the package is a code generator that creates compiled 'Fortran' (or 'R') code which can be passed to a numerical solver. There is direct support for solvers contained in packages 'deSolve' and 'rootSolve'.
Maintained by David Kneis. Last updated 3 months ago.
1.3 match 7 stars 5.53 score 24 scriptskarlines
ReacTran:Reactive Transport Modelling in 1d, 2d and 3d
Routines for developing models that describe reaction and advective-diffusive transport in one, two or three dimensions. Includes transport routines in porous media, in estuaries, and in bodies with variable shape.
Maintained by Karline Soetaert. Last updated 8 years ago.
1.6 match 6 stars 4.57 score 52 scriptskarlines
ecolMod:"A Practical Guide to Ecological Modelling - Using R as a Simulation Platform"
Figures, data sets and examples from the book "A practical guide to ecological modelling - using R as a simulation platform" by Karline Soetaert and Peter MJ Herman (2009). Springer. All figures from chapter x can be generated by "demo(chapx)", where x = 1 to 11. The R-scripts of the model examples discussed in the book are in subdirectory "examples", ordered per chapter. Solutions to model projects are in the same subdirectories.
Maintained by Karline Soetaert. Last updated 2 years ago.
3.5 match 1 stars 2.00 score 8 scripts
niklashohmann
DAIME:Effects of Changing Deposition Rates
Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
Maintained by Niklas Hohmann. Last updated 5 years ago.
2.2 match 3.00 scorecran
bSi:Modeling and Computing Biogenic Silica ('bSi') from Inland and Pelagic Sediments
A collection of integrated tools designed to seamlessly interact with each other for the analysis of biogenic silica 'bSi' in inland and marine sediments. These tools share common data representations and follow a consistent 'API' design. The primary goal of the 'bSi' package is to simplify the installation process, facilitate data loading, and enable the analysis of multiple samples for biogenic silica fluxes. This package is designed to enhance the efficiency and coherence of the entire 'bSi' analytic workflow, from data loading to model construction and visualization tailored towards reconstructing productivity in aquatic ecosystems.
Maintained by George Okoko. Last updated 1 years ago.
3.3 match 2.00 score 4 scripts
alexcannon
CaDENCE:Conditional Density Estimation Network Construction and Evaluation
Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.
Maintained by Alex J. Cannon. Last updated 7 years ago.
3.4 match 1.45 score 28 scriptscran
bio.infer:Predict Environmental Conditions from Biological Observations
Imports benthic count data, reformats this data, and computes environmental inferences from this data.
Maintained by Lester L. Yuan. Last updated 5 years ago.
3.5 match 1.38 score 24 scriptsjranke
pfm:Utilities for Pesticide Fate Modelling
Utilities for simple calculations of predicted environmental concentrations ('PEC' values) and for dealing with data from some FOCUS pesticide fate modelling software packages.
Maintained by Johannes Ranke. Last updated 1 months ago.
1.7 match 1 stars 2.74 score 11 scriptsandrewcparnell
simmr:A Stable Isotope Mixing Model
Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms' tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load() and simmr_mcmc(). The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.
Maintained by Emma Govan. Last updated 11 months ago.
0.5 match 31 stars 7.58 score 81 scriptsmaarten14c
clam:Classical Age-Depth Modelling of Cores from Deposits
Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010) <doi:10.1016/j.quageo.2010.01.002>.
Maintained by Maarten Blaauw. Last updated 2 months ago.
age-depth-modelradiocarbon-calibration
0.5 match 3 stars 5.80 score 28 scripts
benmarwick
gsloid:Global Sea Level and Oxygen Isotope Data
Contains published data sets for global benthic d18O data for 0-5.3 Myr <doi:10.1029/2004PA001071> and global sea levels based on marine sediment core data for 0-800 ka <doi:10.5194/cp-12-1-2016>.
Maintained by Ben Marwick. Last updated 1 years ago.
0.5 match 5 stars 4.90 score 32 scriptscran
RFPM:Floating Percentile Model
Floating Percentile Model with additional functions for optimizing inputs and evaluating outputs and assumptions.
Maintained by Brian Church. Last updated 1 years ago.
1.1 match 2.00 scoretroyhill
NitrogenUptake2016:Data and Source Code From: Nitrogen Uptake and Allocation Estimates for Spartina Alterniflora and Distichlis Spicata
Contains data, code, and figures from Hill et al. 2018a (Journal of Experimental Marine Biology and Ecology; <DOI: 10.1016/j.jembe.2018.07.006>) and Hill et al. 2018b (Data In Brief <DOI: 10.1016/j.dib.2018.09.133>). Datasets document plant allometry, stem heights, nutrient and stable isotope content, and sediment denitrification enzyme assays. The data and analysis offer an examination of nitrogen uptake and allocation in two salt marsh plant species.
Maintained by Troy D. Hill. Last updated 6 years ago.
nitrogenopen-dataopen-sciencesalt-marsh
0.5 match 1 stars 4.15 score 14 scripts
tombishop1
itraxR:Itrax Data Analysis Tools
Parse, trim, join, visualise and analyse data from Itrax sediment core multi-parameter scanners manufactured by Cox Analytical Systems, Sweden. Functions are provided for parsing XRF-peak area files, line-scan optical images, and radiographic images, alongside accompanying metadata. A variety of data wrangling tasks like trimming, joining and reducing XRF-peak area data are simplified. Multivariate methods are implemented with appropriate data transformation.
Maintained by Thomas Bishop. Last updated 10 months ago.
0.5 match 5 stars 3.00 score 1 scripts
kwanghun
DMMF:Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model
Implements the daily based Morgan-Morgan-Finney (DMMF) soil erosion model (Choi et al., 2017 <doi:10.3390/w9040278>) for estimating surface runoff and sediment budgets from a field or a catchment on a daily basis.
Maintained by Kwanghun Choi. Last updated 2 years ago.
0.5 match 1.70 score 5 scripts