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ropensci
rerddap:General Purpose Client for 'ERDDAP™' Servers
General purpose R client for 'ERDDAP™' servers. Includes functions to search for 'datasets', get summary information on 'datasets', and fetch 'datasets', in either 'csv' or 'netCDF' format. 'ERDDAP™' information: <https://upwell.pfeg.noaa.gov/erddap/information.html>.
Maintained by Roy Mendelssohn. Last updated 9 days ago.
earthscienceclimateprecipitationtemperaturestormbuoynoaaapi-clienterddapnoaa-data
41 stars 10.43 score 376 scripts 5 dependentsropensci
rnoaa:'NOAA' Weather Data from R
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Maintained by Daniel Hocking. Last updated 2 months ago.
earthscienceclimateprecipitationtemperaturestormbuoyncdcnoaatornadoesea iceisdnoaa-data
334 stars 9.39 score 788 scripts 4 dependentsropensci
riem:Accesses Weather Data from the Iowa Environment Mesonet
Allows to get weather data from Automated Surface Observing System (ASOS) stations (airports) in the whole world thanks to the Iowa Environment Mesonet website.
Maintained by Maëlle Salmon. Last updated 1 months ago.
airportsasosiowa-environment-mesonetmetarpeer-reviewedtemperatureweatherweather-api
45 stars 7.30 score 184 scriptsropensci
getCRUCLdata:'CRU' 'CL' v. 2.0 Climatology Client
Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a data.table object or a list of 'terra' 'rast' objects for use. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Maintained by Adam H. Sparks. Last updated 24 days ago.
anglia-cruclimate-datacru-cl2temperaturerainfallelevationdata-accesswindrelative-humiditysolar-radiationdiurnal-temperaturefrostcrupeer-reviewed
18 stars 6.83 score 18 scriptsgtatters
Thermimage:Thermal Image Analysis
A collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations and an import function for thermal image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous functions for converting thermal image, videos, rewriting and exporting. v3.1. Added new functions to convert files. v3.2. Fixed the various functions related to finding frame times. v4.0. fixed an error in atmospheric attenuation constants, affecting raw2temp and temp2raw functions. Recommend update for use with long distance calculations. v.4.1.3. changed to frameLocates to reflect change to as.character() to format().
Maintained by Glenn J. Tattersall. Last updated 4 years ago.
animal-physiologyheat-exchangeheat-fluximage-framestemperaturethermal-biologythermal-images
168 stars 5.84 score 83 scriptsaccelstab
AccelStab:Accelerated Stability Kinetic Modelling
Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Maintained by Ben Wells. Last updated 2 months ago.
arrheniuskineticsmodellingnon-linear-modelpharmaceuticalspharmacokineticssestak-berggrenstabilitystatisticstemperaturetemperature-excursionvaccine
2 stars 4.08 score 2 scriptsrkbauer
RchivalTag:Analyzing and Interactive Visualization of Archival Tagging Data
A set of functions to generate, access and analyze standard data products from archival tagging data.
Maintained by Robert K. Bauer. Last updated 2 months ago.
data-visualidepthdepth-temperature-profilesdygraphsggpotleafletminipatpelagicplotlysatellitesensorspatialstar-odditemperaturetime-seriestrackswildlife-computers
1 stars 3.59 score 26 scripts