No datasets match
- 1.agroclimatico::datos_nh_mensualObservaciones Meteorológicas
- 2.agroclimatico::escala_pp_diariaEscalas de colores usadas por el INTA
- 3.agroclimatico::escala_pp_mensualEscalas de colores usadas por el INTA
- 4.agroclimatico::escala_temp_maxEscalas de colores usadas por el INTA
- 5.agroclimatico::escala_temp_minEscalas de colores usadas por el INTA
- 6.agroclimatico::NH0114Observaciones diarias de estaciones meteorológicas.
- 7.agroclimatico::NH0358Observaciones diarias de estaciones meteorológicas.
- 8.allodb::equationsTables of allometric equations and associated metadata
- 9.allodb::equations_metadataTables of allometric equations and associated metadata
- 10.allodb::genus_familyGenus and family table for selected ForestGEO sites
- 11.allodb::gymno_genusGymnosperms identified in selected ForestGEO sites
- 12.allodb::koppenMatrixKoppen climate classification matrix
- 13.allodb::missing_valuesExplanations of missing values codes
- 14.allodb::referencesEquation references and associated metadata
- 15.allodb::references_metadataEquation references and associated metadata
- 16.allodb::scbi_stem1Tree census data from SCBI ForestGEO plot
- 17.allodb::shrub_speciesShrub species identified in selected ForestGEO sites
- 18.allodb::sites_infoForestGEO sites used in allodb
- 19.allodb::sitespeciesSites and tree species used in allodb and associated metadata
- 20.allodb::sitespecies_metadataSites and tree species used in allodb and associated metadata
- 21.aorsf::pbc_orsfMayo Clinic Primary Biliary Cholangitis Data
- 22.aorsf::penguins_orsfSize measurements for adult foraging penguins near Palmer Station, Antarctica
- 23.aRxiv::arxiv_catsarXiv subject classifications
- 24.aRxiv::query_termsarXiv query field terms
- 25.Athlytics::sample_acwrSample ACWR Data for Athlytics
- 26.Athlytics::sample_decouplingSample Aerobic Decoupling Data for Athlytics
- 27.Athlytics::sample_efSample Efficiency Factor (EF) Data for Athlytics
- 28.Athlytics::sample_exposureSample Training Load Exposure Data for Athlytics
- 29.Athlytics::sample_pbsSample Personal Bests (PBs) Data for Athlytics
- 30.auk::bcr_codesBCR Codes
- 31.auk::ebird_stateseBird States
- 32.auk::ebird_taxonomyeBird Taxonomy
- 33.auk::valid_protocolsValid Protocols
- 34.baRulho::master_estExtended selection table of master acoustic data
- 35.baRulho::test_sounds_estExtended selection table with re-recorded playbacks
- 36.bikedata::bike_test_dataTest data for all 6 cities
- 37.bikedata::lo_stnsDocking stations for London, U.K.
- 38.birdsize::demo_route_cleanCleaned data for a hypothetical Breeding Bird Survey route.
- 39.birdsize::demo_route_rawRaw data for a hypothetical Breeding Bird Survey route.
- 40.birdsize::known_speciesList of species known to 'birdsize'
- 41.birdsize::nontarget_speciesWhich AOUs correspond to nontarget species.
- 42.birdsize::raw_massesRecords of mean and standard deviation body masses
- 43.birdsize::sd_tableSpecies-level means for the mean and standard deviation of body size for species in the North American Breeding Bird Survey.
- 44.birdsize::toy_aou_communityToy data frame of abundances and AOUs (for vignettes)
- 45.birdsize::toy_size_communityToy data frame of abundances and species mean sizes (for vignettes)
- 46.birdsize::toy_species_name_communityToy data frame of abundances and species names (for vignettes)
- 47.birdsize::unidentified_speciesTable of AOUs corresponding to unidentified species.
- 48.bold::sequencesList of 3 nucleotide sequences to use in examples for the 'bold_identify' function
- 49.brranching::phylomatic_treesPhylogenies to use with phylomatic
- 50.brranching::tplLookup-table for family, genus, and species names for ThePlantList gymnosperms
- 51.butterfly::butterflycountButterfly count dummy data
- 52.butterfly::butterflymessButterfly count messy data
- 53.butterfly::forestprecipitationForest precipitation dummy data
- 54.c14bazAAR::db_info_tableDatabase lookup table
- 55.c14bazAAR::example_c14_date_listExample c14_date_list
- 56.canaper::acacia_Acacia_ example data
- 57.canaper::biod_exampleBiodiverse example data
- 58.canaper::biod_resultsOutput from Biodiverse
- 59.canaper::cpr_endem_colsCVD-friendly color palette for plotting results of CANAPE
- 60.canaper::cpr_endem_cols_2CVD-friendly color palette for plotting results of CANAPE, version 2
- 61.canaper::cpr_endem_cols_3CVD-friendly color palette for plotting results of CANAPE, version 3
- 62.canaper::cpr_endem_cols_4CVD-friendly color palette for plotting results of CANAPE, version 4
- 63.canaper::cpr_signif_colsCVD-friendly color palette for plotting results of randomization test
- 64.canaper::cpr_signif_cols_2CVD-friendly color palette for plotting results of randomization test, version 2
- 65.canaper::mishler_endem_colsOriginal color palette for plotting results of CANAPE
- 66.canaper::mishler_signif_colsOriginal color palette for plotting results of CANAPE
- 67.canaper::phylocomPhylocom example data
- 68.cde::ea_wbidsDetails of name and index of all sites/catchments.
- 69.censo2017::nivel_educacional_biobioPoblacion por Nivel Educacional en la Region del Bio Bio
- 70.cffr::cran_to_spdxMapping between 'License' fields and SPDX
- 71.charlatan::available_locales_dfAvailable locales
- 72.charlatan::available_providersAvailable Providers
- 73.chirps::tapajosTapajós National Forest
- 74.chlorpromazineR::davis1974Chlorpromazine equivalent key from Davis 1974 data
- 75.chlorpromazineR::gardner2010Chlorpromazine equivalent key from Gardner et al. 2010 data
- 76.chlorpromazineR::gardner2010_withsaiChlorpromazine equivalent key from Gardner et al. 2010 data
- 77.chlorpromazineR::leucht2016Chlorpromazine equivalent key from Leucht et al. 2016 data
- 78.chlorpromazineR::leucht2020Antipsychotic equivalent key from Leucht et al. 2020 data
- 79.chlorpromazineR::woods2003Chlorpromazine equivalent key from Woods 2003 data
- 80.chopin::ncpointsMildly clustered points in North Carolina, United States
- 81.chopin::prediction_gridRegular grid points in the mainland United States at 1km spatial resolution
- 82.ciecl::cie10_clDataset CIE-10 Chile oficial MINSAL/DEIS v2018
- 83.citecorp::oc_doisVector of 25 DOIs (Digital Object Identifiers)
- 84.citecorp::oc_pmcidsVector of 8 PMCIDs (PubMed Central Identifiers)
- 85.citecorp::oc_pmidsVector of 24 PMIDs (PubMed Identifiers)
- 86.coder::charlsonClasscodes for Charlson comorbidity based on ICD-codes
- 87.coder::cpsClasscodes for the comorbidity-polypharmacy score (CPS) based on ICD-10 codes
- 88.coder::elixhauserClasscodes for Elixhauser based on ICD-codes
- 89.coder::ex_atcExample data for random ATC codes
- 90.coder::ex_icd10Example data for random codes assigned to random people
- 91.coder::ex_peopleExample data for random people
- 92.coder::hip_aeClasscodes for adverse events after knee and hip arthroplasty
- 93.coder::hip_ae_hailerClasscodes for infection and dislocation after hip arthroplasty
- 94.coder::knee_aeClasscodes for adverse events after knee and hip arthroplasty
- 95.coder::rxriskvClasscodes for RxRisk V based on ATC codes
- 96.coevolve::authorityPolitical and religious authority in Austronesian societies
- 97.coevolve::primatesBrain weight, body weight, diet, and sociality in primates
- 98.coevolve::repeatedExample dataset with repeated observations
- 99.comtradr::country_codesCountry codes
- 100.comtradr::ct_pretty_colsct_pretty_cols
- 101.concstats::creditcoopsCreditcoops
- 102.CoordinateCleaner::aohiArtificial Hotspot Occurrence Inventory
- 103.CoordinateCleaner::bufflandGlobal Coastlines buffered by 1 degree
- 104.CoordinateCleaner::buffseaGlobal Coastlines buffered by -1 degree
- 105.CoordinateCleaner::countryrefCountry Centroids and Country Capitals
- 106.CoordinateCleaner::institutionsGlobal Locations of Biodiversity Institutions
- 107.CoordinateCleaner::pbdb_exampleExample data from the Paleobiologydatabase
- 108.dataset::gdpA Small GDP Dataset
- 109.dataset::orange_dfGrowth of Orange Trees
- 110.datefixR::exampledatesExample dataset of dates in different formats
- 111.dendroNetwork::hol_romRoman tree-ring site chronologies from Hollstein
- 112.dendroNetwork::RING_Visser_2021Roman tree-ring site chronologies
- 113.dfms::BM14_MEuro Area Macroeconomic Data from Banbura and Modugno 2014
- 114.dfms::BM14_ModelsEuro Area Macroeconomic Data from Banbura and Modugno 2014
- 115.dfms::BM14_QEuro Area Macroeconomic Data from Banbura and Modugno 2014
- 116.DoOR.data::ab2Bab2B
- 117.DoOR.data::ab4Bab4B
- 118.DoOR.data::ab5Bab5B
- 119.DoOR.data::ac1ac1
- 120.DoOR.data::ac1Aac1A
- 121.DoOR.data::ac1Bac1B
- 122.DoOR.data::ac1BCac1BC
- 123.DoOR.data::ac2ac2
- 124.DoOR.data::ac2Aac2A
- 125.DoOR.data::ac2Bac2B
- 126.DoOR.data::ac2BCac2BC
- 127.DoOR.data::ac3_noOr35aac3_noOr35a
- 128.DoOR.data::ac3Aac3A
- 129.DoOR.data::ac3Bac3B
- 130.DoOR.data::ac4ac4
- 131.DoOR.data::door_AL_mapdoor_AL_map
- 132.DoOR.data::door_data_formatdoor_data_format
- 133.DoOR.data::door_dataset_infodoor_dataset_info
- 134.DoOR.data::door_excluded_datadoor_excluded_data
- 135.DoOR.data::door_glo_distdoor_glo_dist
- 136.DoOR.data::door_global_normalization_weightsdoor_global_normalization_weights
- 137.DoOR.data::door_mappingsdoor_mappings
- 138.DoOR.data::door_response_matrixdoor_response_matrix
- 139.DoOR.data::door_response_matrix_non_normalizeddoor_response_matrix_non_normalized
- 140.DoOR.data::door_response_rangedoor_response_range
- 141.DoOR.data::Gr21a.Gr63aGr21a.Gr63a
- 142.DoOR.data::Ir31aIr31a
- 143.DoOR.data::Ir41aIr41a
- 144.DoOR.data::Ir64a.DC4Ir64a.DC4
- 145.DoOR.data::Ir64a.DP1mIr64a.DP1m
- 146.DoOR.data::Ir75aIr75a
- 147.DoOR.data::Ir75dIr75d
- 148.DoOR.data::Ir76aIr76a
- 149.DoOR.data::Ir84aIr84a
- 150.DoOR.data::Ir92aIr92a
- 151.DoOR.data::odorodor
- 152.DoOR.data::Or10aOr10a
- 153.DoOR.data::Or13aOr13a
- 154.DoOR.data::Or19aOr19a
- 155.DoOR.data::Or1aOr1a
- 156.DoOR.data::Or22aOr22a
- 157.DoOR.data::Or22bOr22b
- 158.DoOR.data::Or22cOr22c
- 159.DoOR.data::Or23aOr23a
- 160.DoOR.data::Or24aOr24a
- 161.DoOR.data::Or2aOr2a
- 162.DoOR.data::Or30aOr30a
- 163.DoOR.data::Or33aOr33a
- 164.DoOR.data::Or33bOr33b
- 165.DoOR.data::Or33cOr33c
- 166.DoOR.data::Or35aOr35a
- 167.DoOR.data::Or42aOr42a
- 168.DoOR.data::Or42bOr42b
- 169.DoOR.data::Or43aOr43a
- 170.DoOR.data::Or43bOr43b
- 171.DoOR.data::Or45aOr45a
- 172.DoOR.data::Or45bOr45b
- 173.DoOR.data::Or46aOr46a
- 174.DoOR.data::Or47aOr47a
- 175.DoOR.data::Or47bOr47b
- 176.DoOR.data::Or49aOr49a
- 177.DoOR.data::Or49bOr49b
- 178.DoOR.data::Or59aOr59a
- 179.DoOR.data::Or59bOr59b
- 180.DoOR.data::Or59cOr59c
- 181.DoOR.data::Or65aOr65a
- 182.DoOR.data::Or67aOr67a
- 183.DoOR.data::Or67bOr67b
- 184.DoOR.data::Or67cOr67c
- 185.DoOR.data::Or67dOr67d
- 186.DoOR.data::Or69aOr69a
- 187.DoOR.data::Or71aOr71a
- 188.DoOR.data::Or74aOr74a
- 189.DoOR.data::Or7aOr7a
- 190.DoOR.data::Or82aOr82a
- 191.DoOR.data::Or83cOr83c
- 192.DoOR.data::Or85aOr85a
- 193.DoOR.data::Or85bOr85b
- 194.DoOR.data::Or85cOr85c
- 195.DoOR.data::Or85dOr85d
- 196.DoOR.data::Or85eOr85e
- 197.DoOR.data::Or85fOr85f
- 198.DoOR.data::Or88aOr88a
- 199.DoOR.data::Or92aOr92a
- 200.DoOR.data::Or94aOr94a
- 201.DoOR.data::Or94bOr94b
- 202.DoOR.data::Or98aOr98a
- 203.DoOR.data::Or9aOr9a
- 204.DoOR.data::ORsORs
- 205.DoOR.data::pb2Apb2A
- 206.dwctaxon::dct_filmiesTaxonomic data of filmy ferns
- 207.dwctaxon::dct_termsDarwin Core Taxon terms
- 208.dynamite::categorical_exampleSimulated Categorical Multivariate Panel Data
- 209.dynamite::categorical_example_fitModel Fit for the Simulated Categorical Multivariate Panel Data
- 210.dynamite::gaussian_exampleSimulated Data of a Gaussian Response
- 211.dynamite::gaussian_example_fitModel Fit for the Simulated Data of a Gaussian Response
- 212.dynamite::multichannel_exampleSimulated Multivariate Panel Data
- 213.dynamite::multichannel_example_fitModel Fit for the Simulated Multivariate Panel Data
- 214.eDNAjoint::goby_datagoby_data
- 215.eDNAjoint::green_crab_datagreen_crab_data
- 216.EML::emleml
- 217.EndoMineR::ColonFinalFake Lower GI Endoscopy Set
- 218.EndoMineR::MyendoFake Endoscopies
- 219.EndoMineR::MypathFake Pathology report
- 220.EndoMineR::PathDataFrameFinalFake Upper GI Pathology Set
- 221.EndoMineR::PathDataFrameFinalColonFake Lower GI Pathology Set
- 222.EndoMineR::TheOGDReportFinalFake Upper GI Endoscopy Set
- 223.EndoMineR::vColonFake Lower GI Endoscopy Set including Pathology
- 224.epair::endpointsEndpoints available in the EPA API
- 225.epair::service.namesNames of services offered by the EPA API
- 226.epair::servicesServices offered by the EPA API
- 227.epair::variable.typesVariable parameter names to use
- 228.epair::variablesVariables used for querying in EPA API
- 229.eph::adulto_equivalenteTabla de valores de adulto equivalente segun sexo y edad
- 230.eph::caesCategorias del Clasificador de Actividades Economicas para encuestas Sociodemograficas
- 231.eph::canastas_reg_exampleCanastas Basicas Alimentarias y Canastas Basicas Totales segun region y trimestre
- 232.eph::centroides_aglomeradosTabla de centroides de los aglomerados
- 233.eph::CNOCategorias de las 4 dimensiones del Clasificador Nacional de Ocupaciones 2001.
- 234.eph::diccionario_aglomeradosDiccionario de aglomerados segun diseno de registro de la EPH
- 235.eph::diccionario_regionesDiccionario de regiones segun diseno de registro de la EPH
- 236.eph::errores_muestralesTabla con los errores muestrales para estimaciones de poblacion
- 237.eph::toybase_hogar_2016_04Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base hogar
- 238.eph::toybase_individual_2016_03Seleccion aleatoria de casos de la base 2016 trimestre 3 para la base individual
- 239.eph::toybase_individual_2016_04Seleccion aleatoria de casos de la base 2016 trimestre 4 para la base individual
- 240.EpiStrainDynamics::influenzaWorld Health Organisation Global Influenza Programme for Australia
- 241.EpiStrainDynamics::sarscov2United Kingdom Health Security Agency SARS-CoV-2 case data
- 242.ernest::example_runExample Nested Sampling Run with Ernest
- 243.excluder::qualtrics_fetchExample numeric metadata imported with 'qualtRics::fetch_survey()' from simulated Qualtrics study
- 244.excluder::qualtrics_fetch2Example numeric metadata imported with 'qualtRics::fetch_survey()' from simulated Qualtrics study but with labels included as column names
- 245.excluder::qualtrics_numericExample numeric metadata from simulated Qualtrics study
- 246.excluder::qualtrics_rawExample text-based metadata from simulated Qualtrics study
- 247.excluder::qualtrics_textExample text-based metadata from simulated Qualtrics study
- 248.exoplanets::tableinfoTable Information
- 249.FedData::meveThe boundary of Mesa Verde National Park
- 250.fellingdater::Brathen_1982Brathen 1982 sapwood data set.
- 251.fellingdater::Hollstein_1980Hollstein 1980 sapwood data set.
- 252.fellingdater::Miles_1997_NMMiles 1997 sapwood data set.
- 253.fellingdater::Miles_1997_SCMiles 1997 sapwood data set.
- 254.fellingdater::Miles_1997_WBCMiles 1997 sapwood data set.
- 255.fellingdater::Pilcher_1987Pilcher 1987 sapwood data set.
- 256.fellingdater::Sohar_2012_ELL_cSohar et al. 2012 sapwood data set.
- 257.fellingdater::Sohar_2012_ELL_tSohar et al. 2012 sapwood data set.
- 258.fellingdater::Sohar_2012_FWE_cSohar et al. 2012 sapwood data set.
- 259.fellingdater::Sohar_2012_FWE_tSohar et al. 2012 sapwood data set.
- 260.fellingdater::sw_example0Example dataset 0
- 261.fellingdater::sw_example1Example dataset 1
- 262.fellingdater::sw_example2Example dataset 2
- 263.fellingdater::sw_example3Example dataset 3
- 264.fellingdater::sw_example4Example dataset 4
- 265.fellingdater::sw_example5Example dataset 5
- 266.fellingdater::sw_example6Example dataset 6
- 267.fellingdater::sw_example7Example dataset 7
- 268.fellingdater::vanDaalen_NLBEvan Daalen (unpublished) sapwood data set.
- 269.fellingdater::vanDaalen_Norwayvan Daalen (unpublished) sapwood data set.
- 270.fellingdater::Wazny_1990Wazny 1990 sapwood data set.
- 271.fellingdater::Weitz_2025Weitz 2025 sapwood data set.
- 272.galamm::cognitionSimulated Data with Measurements of Cognitive Abilities
- 273.galamm::dietDiet Data
- 274.galamm::epilepEpilepsy Data
- 275.galamm::hscedExample Data with Heteroscedastic Residuals
- 276.galamm::latent_covariatesSimulated Data with Latent and Observed Covariates Interaction
- 277.galamm::latent_covariates_longSimulated Longitudinal Data with Latent and Observed Covariates Interaction
- 278.galamm::lifespanSimulated Dataset with Lifespan Trajectories of Three Cognitive Domains
- 279.galamm::mrespSimulated Mixed Response Data
- 280.galamm::mresp_hscedSimulated Mixed Response Data with Heteroscedastic Residuals
- 281.gendercoder::fewlevels_enfewlevels_en
- 282.gendercoder::manylevels_enmanylevels_en
- 283.gendercoder::samplesample
- 284.geojson::geojson_dataData for use in examples
- 285.geojsonio::canada_citiesThis is the same data set from the maps library, named differently
- 286.geojsonio::statesThis is the same data set from the ggplot2 library
- 287.geojsonio::us_citiesThis is the same data set from the maps library, named differently
- 288.gigs::ig_fetINTERGROWTH-21st Fetal Standards growth curve data
- 289.gigs::ig_nbsINTERGROWTH-21st Newborn Size Standards (including very preterm) growth curve data
- 290.gigs::ig_nbs_coeffsINTERGROWTH-21st Newborn Size Standards GAMLSS coefficients
- 291.gigs::ig_nbs_extExtended INTERGROWTH-21st Newborn Size Standards (including very preterm) growth curve data
- 292.gigs::ig_nbs_ext_coeffsExtended INTERGROWTH-21st Newborn Size Standards GAMLSS coefficients
- 293.gigs::ig_pngINTERGROWTH-21st Postnatal Growth Standards growth curve data
- 294.gigs::life6moData extract from the Low birthweight Infant Feeding Exploration (LIFE) study
- 295.gigs::who_gsWHO Child Growth Standards growth curve data
- 296.gigs::who_gs_coeffsWHO Child Growth Standards LMS coefficients
- 297.GLMMcosinor::cosinor_mixedcosinor_mixed dataset for cosinor modeling examples.
- 298.GLMMcosinor::vitamindVitamin D dataset for cosinor modeling examples.
- 299.gutenbergr::gutenberg_authorsMetadata about Project Gutenberg authors
- 300.gutenbergr::gutenberg_languagesMetadata about Project Gutenberg languages
- 301.gutenbergr::gutenberg_metadataGutenberg metadata about each work
- 302.gutenbergr::gutenberg_subjectsGutenberg metadata about the subject of each work
- 303.gutenbergr::sample_booksSample Book Downloads
- 304.hdcuremodels::amltestAML test data
- 305.hdcuremodels::amltrainAML training data
- 306.hdcuremodels::pediatric_flt3Pediatric acute myeloid leukemia patients with FLT3-ITD rearrangement data
- 307.helminthR::locationsTable of geographic location names, and associated coordinates
- 308.historydata::catholic_diocesesRoman Catholic dioceses in the United States, Canada, and Mexico
- 309.historydata::dijon_pricesWholesale Market Prices in Dijon, France 1568-1630
- 310.historydata::dijon_prices_wideWholesale Market Prices in Dijon, France 1568-1630
- 311.historydata::early_collegesEarly colleges in the United States
- 312.historydata::judges_appointmentsFederal judges in the United States of America
- 313.historydata::judges_peopleFederal judges in the United States of America
- 314.historydata::methodistsMethodist Minutes of the Annual Conferences, 1786-1834
- 315.historydata::minneapolisfed_cpiConsumer Price Index, 1800-2024
- 316.historydata::naval_promotionsPromotions of U.S. Navy officers, 1798-1849
- 317.historydata::paulist_missionsRecords of missions held by the Paulist Fathers, 1851-1893
- 318.historydata::presbyteriansPresbyterians Statistics Through One Hundred Years
- 319.historydata::quasi_warNaval encounters during the Quasi War between France and the United States of America
- 320.historydata::sarnaPopulation estimates of American Jews
- 321.historydata::tudorsTudor dynasty
- 322.historydata::us_cities_popUnited States Historical City Populations, 1790-2010
- 323.historydata::us_military_strengthsUS Military Strengths
- 324.historydata::us_national_populationPopulation of the United States, 1790-2020
- 325.historydata::us_state_populationsPopulations of US states and territories, 1790-2020
- 326.hydroscoper::greece_bordersGreek borders
- 327.hydroscoper::stationsstations
- 328.hydroscoper::timeseriestimeseries
- 329.iheatmapr::measlesmeasles
- 330.jqr::commitsGitHub Commits Data
- 331.lakefetch::adirondack_sitesAdirondack Lake Sampling Sites
- 332.lakefetch::example_lakeBlue Mountain Lake Polygon (Example Lake)
- 333.lakefetch::wisconsin_lakesWisconsin Lake Sampling Sites
- 334.landscapetools::classified_landscapeExample map (factor).
- 335.landscapetools::fractal_landscapeExample map (fractional brownian motion).
- 336.landscapetools::gradient_landscapeExample map (planar gradient).
- 337.landscapetools::random_landscapeExample map (random).
- 338.lingtypology::abvdABVD's Language identifiers
- 339.lingtypology::autotypAUTOTYP's Language identifiers
- 340.lingtypology::bantuBANTU's Language identifiers
- 341.lingtypology::circassianCircassian villages in Russia
- 342.lingtypology::countriesCatalogue of countries
- 343.lingtypology::eurasianphonologyEurasianphonology data
- 344.lingtypology::glottologCatalogue of languages of the world
- 345.lingtypology::iso_639ISO 639-3 is a set of codes that defines three-letter identifiers for all known human languages.
- 346.lingtypology::oto_mangueanICOto-Manguean Inflectional Class Database Language identifiers
- 347.lingtypology::phoiblePhoible glottolog - language correspondencies
- 348.lingtypology::phonological_profilesNumber of consonants and presence of ejectives
- 349.lingtypology::providersProviders
- 350.lingtypology::soundcomparisonsSOUNDCOMPARISONS's Language identifiers
- 351.lingtypology::uralexUraLex's Language identifiers
- 352.lingtypology::walsWALS's Language identifiers
- 353.mantis::example_dataExample data frame containing multiple time series in long format
- 354.mantis::example_prescription_numbersExample data frame containing numbers of antibiotic prescriptions in long format
- 355.mapmetadata::domain_listInternal: List of Domains
- 356.mapmetadata::log_output_dfInternal: Output log dataframe
- 357.mapmetadata::look_upInternal: Auto-categorisations
- 358.mapmetadata::metadataInternal: CSV metadata File
- 359.mapmetadata::output_dfInternal: Output dataframe
- 360.mbquartR::mbquartR_exampleManitoba Original Survey Legal Descriptions data
- 361.mctq::micro_mctqA fictional muMCTQ dataset
- 362.mctq::shift_mctqA fictional MCTQ Shift dataset
- 363.mctq::std_mctqA fictional standard MCTQ dataset
- 364.melt::clothianidinClothianidin concentration in maize plants
- 365.melt::thiamethoxamThiamethoxam applications in squash crops
- 366.mregions2::mrp_listAvailable data products at Marine Regions
- 367.mregions2::mrp_ontologyMarine Regions Data Products Ontology
- 368.naijR::lgas_nigeriaLocal Government Areas of Nigeria
- 369.naijR::ngdistRoad Distances Between Nigerian State Capitals
- 370.naijR::states_nigeriaStates of Nigeria
- 371.natserv::nat_statesA data.frame with 49 rows and 2 columns
- 372.neotoma::pollen.equivA table to convert the pollen taxa identified by investigators to standardized lists.
- 373.neotoma::taxon.listNeotoma taxon list
- 374.nlrx::nl_distinctWolf Sheep model sample data: simdesign distinct
- 375.nlrx::nl_eFastWolf Sheep model sample data: simdesign eFast
- 376.nlrx::nl_ffWolf Sheep model sample data: simdesign ff
- 377.nlrx::nl_gensaWolf Sheep model sample data: gensa
- 378.nlrx::nl_lhsWolf Sheep model sample data: simdesign lhs
- 379.nlrx::nl_morrisWolf Sheep model sample data: simdesign morris
- 380.nlrx::nl_simpleWolf Sheep model sample data: simdesign simple
- 381.nlrx::nl_sobolWolf Sheep model sample data: simdesign sobol
- 382.nlrx::nl_sobol2007Wolf Sheep model sample data: simdesign sobol2007
- 383.nlrx::nl_soboljansenWolf Sheep model sample data: simdesign soboljansen
- 384.nlrx::nl_spatialWolf Sheep model sample data: spatial
- 385.nodbi::diamondsData set 'diamonds'
- 386.npi::npisSample results from the NPI Registry
- 387.nuts::all_nuts_codesList of all NUTS codes and classifications
- 388.nuts::cross_walksConversion table provided by the Joint Research Center of the European Commission
- 389.nuts::manureManure storage facilities by NUTS 3 regions from Eurostat (aei_fm_ms)
- 390.nuts::patentsPatent applications to the EPO by priority year by NUTS 3 regions (pat_ep_rtot)
- 391.oai::providersMetadata providers data.frame.
- 392.occCite::myOccCiteObjectResults of an occCite search for *Protea cynaroides*
- 393.ohun::lbh_referenceExample data frame of a selection table including all sound events of interests
- 394.ohun::lbh1Long-billed hermit recording
- 395.ohun::lbh2Long-billed hermit recording
- 396.openalexR::concept_abbrevConcepts and abbreviations.
- 397.openalexR::countrycodeIndex of Countries and their alpha-2 and alpha-3 codes.
- 398.openalexR::oa2df_coverageCoverage of OpenAlex entity fields after converting to data frame.
- 399.opencage::countrycodesCountry codes
- 400.opentripplanner::json_example_driveExample JSON for driving
- 401.opentripplanner::json_example_long_driveExample JSON for driving long distance
- 402.opentripplanner::json_example_transitExample JSON for transit
- 403.osmextract::bbbike_zonesAn sf object of geographical zones taken from bbbike.org
- 404.osmextract::geofabrik_zonesAn sf object of geographical zones taken from geofabrik.de
- 405.osmextract::openstreetmap_fr_zonesAn sf object of geographical zones taken from download.openstreetmap.fr
- 406.osmextract::test_zonesAn sf object of geographical zones taken from download.openstreetmap.fr
- 407.osmplotr::londonlondon
- 408.outcomerate::middleearthmiddleearth Dataset
- 409.pangoling::df_jaeger14Self-Paced Reading Dataset on Chinese Relative Clauses
- 410.pangoling::df_sentExample dataset: Two word-by-word sentences
- 411.patentsview::fieldsdfFields data frame
- 412.PFW::pfw_exampleExample Project FeederWatch Dataset
- 413.PFW::region_lookupRegion Lookup Table
- 414.phruta::SW.phrutaScholl and Wiens (2016) phylogenies
- 415.phylotaR::aotusaotus
- 416.phylotaR::birdsbirds
- 417.phylotaR::bromeliadsbromeliads
- 418.phylotaR::cycadscycads
- 419.phylotaR::dragonfliesdragonflies
- 420.phylotaR::mammalsmammals
- 421.phylotaR::plantsplants
- 422.phylotaR::sturgeonssturgeons
- 423.phylotaR::tardigradestardigrades
- 424.phylotaR::tinamoustinamous
- 425.phylotaR::yeastsyeasts
- 426.promoutils::buff_channelsList of IDs for Buffer channels: Bluesky, Mastodon, and LinkedIn
- 427.promoutils::buff_ncharsNumber of characters permitted by social media channels via Buffer
- 428.promoutils::buff_orgrOpenSci Buffer organization id
- 429.promoutils::li_orgrOpenSci LinkedIn organization URN
- 430.pvEBayes::faers_opioid_mentalFDA opioid dataset with 243 mental-related adverse events
- 431.pvEBayes::gbca2025FDA GBCA dataset with 1328 adverse events
- 432.pvEBayes::gbca2025_69FDA GBCA dataset with 69 adverse events
- 433.pvEBayes::statin2025FDA statin dataset with 5119 adverse events
- 434.pvEBayes::statin2025_44FDA statin dataset with 44 adverse events
- 435.pvEBayes::statin42FDA statin dataset with 42 adverse events
- 436.pvEBayes::vigi_opioid_mentalVigiBase opioid dataset with 100 mental-related adverse events
- 437.quadkeyr::data_providedQuadKey-identified Dataset
- 438.quadkeyr::result_read_fb_mobility_dataDataset with (fake) Facebook mobility data
- 439.QuadratiK::breast_cancerBreast Cancer Wisconsin (Diagnostic)
- 440.QuadratiK::wineWine data set
- 441.QuadratiK::wirelessWireless Indoor Localization
- 442.qualR::cetesb_aqsCETESB AQS station latitude and longitude
- 443.qualR::cetesb_paramCETESB Parameters
- 444.qualR::monitor_ar_aqsMonitor Ar AQS stations.
- 445.qualR::monitor_ar_paramMonitor Ar Parameters
- 446.RAMEN::test_covariatesConcomitant variable example data set
- 447.RAMEN::test_environmental_matrixEnvironmental exposures example data set
- 448.RAMEN::test_genotype_informationGenotype metadata example data set
- 449.RAMEN::test_genotype_matrixGenotype matrix example
- 450.RAMEN::test_methylation_dataMethylation data matrix example
- 451.RAMEN::ultrastable_cpgsUltrastable probes
- 452.rangr::observations_pointsExample Of Observation Points List
- 453.rcrisp::bucharest_dambovitarcrisp example delineation data for Bucharest
- 454.rdhs::dhs_gps_data_formatDHS GPS Data Format
- 455.rdhs::model_datasetsDHS model datasets
- 456.read.abares::aheccAHECC Classification Codes
- 457.rebird::tax2023 edition of the eBird taxonomy (eBird v2023)
- 458.refsplitr::BITRData from the journal Biotropica (pulled from Web of Knowledge)
- 459.refsplitr::BITR_geocodeGeoreferenced data from the journal Biotropica (pulled from Web of Science)
- 460.refsplitr::countriesNames of all the countries in the world
- 461.ReLTER::eLTER_data_reporting_formateLTER Data Reporting Format (DRF)
- 462.rerddap::colorscmocean colors The cmocean color palette by Kristen Thyng as implemented in the R package "oce"
- 463.rerddap::institutionsinstitutions
- 464.rerddap::ioos_categoriesioos_categories
- 465.rerddap::keywordskeywords
- 466.rerddap::longnameslongnames
- 467.rerddap::standardnamesstandardnames
- 468.rerddap::variablenamesvariablenames
- 469.restez::recordExample GenBank record
- 470.reviser::gdpVintages Data
- 471.rfisheries::country_code_datacountry_code_data
- 472.rfisheries::species_code_dataspecies_code_data
- 473.rgpdd::gpdd_biotopeThe biotype table
- 474.rgpdd::gpdd_dataThe data table
- 475.rgpdd::gpdd_datasourceThe data source table
- 476.rgpdd::gpdd_locationTable of locations information for each timeseries
- 477.rgpdd::gpdd_mainmain table: metadata for each time series
- 478.rgpdd::gpdd_restrictedRestricted data sets table
- 479.rgpdd::gpdd_taxonThe taxon table
- 480.rgpdd::gpdd_timeperiodThe time period table
- 481.rgpdd::gpdd_versionGPDD version information
- 482.ritis::solr_fieldsList of fields that can be used in solr functions
- 483.rmangal::rmangal_endpointsMangal API's endpoints
- 484.rnaturalearth::countries110world country polygons from Natural Earth
- 485.rnaturalearth::df_layers_culturallist of cultural layers available from Natural Earth
- 486.rnaturalearth::df_layers_physicallist of physical layers available from Natural Earth
- 487.rnaturalearthdata::coastline110world coastlines from Natural Earth
- 488.rnaturalearthdata::coastline50world coastlines from Natural Earth
- 489.rnaturalearthdata::countries110world country polygons from Natural Earth
- 490.rnaturalearthdata::countries50world country polygons from Natural Earth
- 491.rnaturalearthdata::map_units110world map_unit polygons from Natural Earth
- 492.rnaturalearthdata::map_units50world map_unit polygons from Natural Earth
- 493.rnaturalearthdata::sovereignty110world sovereignty polygons from Natural Earth
- 494.rnaturalearthdata::sovereignty50world sovereignty polygons from Natural Earth
- 495.rnaturalearthdata::states50state (admin level 1) polygons from Natural Earth
- 496.rnaturalearthdata::tiny_countries110tiny countries points from Natural Earth
- 497.rnaturalearthdata::tiny_countries50tiny countries points from Natural Earth
- 498.rnaturalearthhires::coastline10world coastlines from Natural Earth
- 499.rnaturalearthhires::countries10world country polygons from Natural Earth
- 500.rnaturalearthhires::map_units10world map_unit polygons from Natural Earth
- 501.rnaturalearthhires::sovereignty10world sovereignty polygons from Natural Earth
- 502.rnaturalearthhires::states10state (admin level 1) polygons from Natural Earth
- 503.rnoaa::fipscodesFIPS codes for US states.
- 504.rrricanes::df.al_12_2005_prbltyStrike probabilities for Hurricane Katrina (AL122005)
- 505.rrricanes::df.al_18_2012Forecast/Advisory and Wind Speed Probabilities for Hurricane Sandy (AL182012)
- 506.rrricanes::df.al_18_2012_fstadvForecast/Advisory for Hurricane Sandy (AL182012)
- 507.rrricanes::df.al_18_2012_wndprbWind speed probabilities for Hurricane Sandy (AL182012)
- 508.rrricanes::df.al_2012Atlantic cyclones for 2012
- 509.rrricanes::df.gis_advGIS advisory dataset for Hurricane Sandy Adv 18
- 510.rrricanes::df.gis_storm_surgeGIS storm surge shapefile dataset for Hurricane Sandy(AL182012)
- 511.rrricanes::df.gis_wind_radiiGIS windfield and forecast wind radii for Hurricane Sandy (AL182012)
- 512.rrricanes::df.gis_wspGIS wind speed probabilities for Hurricane Sandy (AL182012)
- 513.rrricanesdata::advAdvisory - Basic advisory data
- 514.rrricanesdata::discusStorm Discussions
- 515.rrricanesdata::fcstForecasts - Forecast positions per Forecast/Advisory
- 516.rrricanesdata::fcst_wrForecast Wind Radius - Wind radius for each 'fcst'
- 517.rrricanesdata::fstadvForecast/Advisory
- 518.rrricanesdata::posestPosition Estimates
- 519.rrricanesdata::prbltyStrike Probabilities
- 520.rrricanesdata::publicPublic Advisory
- 521.rrricanesdata::stormsStorm Summary
- 522.rrricanesdata::updateTropical Cyclone Updates
- 523.rrricanesdata::wndprbWind Speed Probabilities
- 524.rrricanesdata::wrWind Radius - Current wind radius
- 525.rsat::ex.dem.navarreA Digital Elevation Model (DEM) of the region of Navarre (Spain)
- 526.rsat::ex.madridA polygon with the border of Madrid (Spain)
- 527.rsat::ex.manhattanA polygon with the border of Manhattan (USA)
- 528.rsat::ex.navarreA polygon with the border of Navarre (Spain)
- 529.rsat::ex.ndvi.navarreA time series of NDVI in Navarre (Spain)
- 530.rsi::alos_palsar_band_mappingALOS PALSAR band mapping
- 531.rsi::dem_band_mappingLandsat band mapping
- 532.rsi::landsat_band_mappingLandsat band mapping
- 533.rsi::sentinel1_band_mappingSentinel-1 band mapping
- 534.rsi::sentinel2_band_mappingSentinel-2 band mapping
- 535.ruODK::fq_attachmentsA tibble of submission attachments.
- 536.ruODK::fq_dataParsed submission data for an ODK Central form.
- 537.ruODK::fq_data_strataParsed submission data for a subgroup of an ODK Central form.
- 538.ruODK::fq_data_taxaParsed submission data for a subgroup of an ODK Central form.
- 539.ruODK::fq_form_detailA tibble of form metadata.
- 540.ruODK::fq_form_listA tibble of forms.
- 541.ruODK::fq_form_schemaJSON form schema for an ODK Central form.
- 542.ruODK::fq_form_xmlA nested list of a form definition.
- 543.ruODK::fq_metaOData metadata document for an ODK Central form.
- 544.ruODK::fq_project_detailA tibble of project metadata.
- 545.ruODK::fq_project_listA tibble of project metadata.
- 546.ruODK::fq_rawOData submission data for an ODK Central form.
- 547.ruODK::fq_raw_strataOData submission data for a subgroup of an ODK Central form.
- 548.ruODK::fq_raw_taxaOData submission data for a subgroup of an ODK Central form.
- 549.ruODK::fq_submission_listA tibble of submission metadata.
- 550.ruODK::fq_submissionsA nested list of submission data.
- 551.ruODK::fq_svcOData service document for an ODK Central form.
- 552.ruODK::fq_zip_dataA tibble of the main data table of records from a test form.
- 553.ruODK::fq_zip_strataA tibble of a repeated sub-group of records from a test form.
- 554.ruODK::fq_zip_taxaA tibble of a repeated sub-group of records from a test form.
- 555.ruODK::fs_v7The parsed XML form_schema of a form from ODK Central v0.6.
- 556.ruODK::fs_v7_rawThe unparsed XML form_schema of a form from ODK Central v0.6 as nested list.
- 557.ruODK::geo_fsThe form_schema of a form containing geofields in GeoJSON.
- 558.ruODK::geo_gjThe parsed submissions of a form containing geofields in GeoJSON.
- 559.ruODK::geo_gj_rawThe unparsed submissions of a form containing geofields in GeoJSON.
- 560.ruODK::geo_gj88The parsed submissions of a form containing geofields in GeoJSON with trailing empty coordinates present.
- 561.ruODK::geo_wktThe parsed submissions of a form containing geofields in WKT.
- 562.ruODK::geo_wkt_rawThe unparsed submissions of a form containing geofields in WKT.
- 563.ruODK::geo_wkt88The parsed submissions of a form containing geofields in WKT with trailing empty coordinates present.
- 564.rvertnet::simple_dwc_termsDarwin core terms
- 565.sits::cerrado_2classesSamples of classes Cerrado and Pasture
- 566.sits::point_mt_6bandsA time series sample with data from 2000 to 2016
- 567.sits::samples_l8_rondonia_2bandsSamples of Amazon tropical forest biome for deforestation analysis
- 568.sits::samples_modis_ndviSamples of nine classes for the state of Mato Grosso
- 569.skynet::aircraft_typeAircraft type data
- 570.skynet::airportCodeAirport Data - clean
- 571.skynet::airportCodeFullAirport Data - full
- 572.skynet::airportMasterAirport Data - master
- 573.skynet::carriersCarrier data
- 574.skynet::MetroFullMetro (Full) Data
- 575.skynet::MetroLookupMetro Data
- 576.skynet::OD_SampleSample OD data
- 577.slopes::cyclestreets_routeCycle route data
- 578.slopes::lisbon_road_networkLisbon road network
- 579.slopes::lisbon_road_segmentLisbon road segment
- 580.slopes::lisbon_road_segment_3dLisbon road segment 3D
- 581.slopes::lisbon_road_segment_xyz_mapboxLisbon road segment XYZ
- 582.slopes::lisbon_routeLisbon route data
- 583.slopes::lisbon_route_3dLisbon route 3D
- 584.slopes::lisbon_route_xyz_mapboxLisbon route XYZ
- 585.slopes::magnolia_xyMagnolia coordinates
- 586.ssarp::island_areasIsland name data
- 587.stats19::accidents_sampleSample of stats19 data (2022 collisions)
- 588.stats19::accidents_sample_rawSample of stats19 data (2022 collisions)
- 589.stats19::casualties_sampleSample of stats19 data (2022 casualties)
- 590.stats19::casualties_sample_rawSample of stats19 data (2022 casualties)
- 591.stats19::file_namesstats19 file names for easy access
- 592.stats19::police_boundariesPolice force boundaries in England (2016)
- 593.stats19::stats19_schemaStats19 schema and variables
- 594.stats19::stats19_variablesStats19 schema and variables
- 595.stats19::vehicles_sampleSample of stats19 data (2022 vehicles)
- 596.stats19::vehicles_sample_rawSample of stats19 data (2022 vehicles)
- 597.stplanr::cents_sfSpatial points representing home locations
- 598.stplanr::destinations_sfExample destinations data
- 599.stplanr::flowData frame of commuter flows
- 600.stplanr::flow_destsData frame of invented commuter flows with destinations in a different layer than the origins
- 601.stplanr::flowlines_sfSpatial lines dataset of commuter flows
- 602.stplanr::od_data_linesExample of desire line representations of origin-destination data from UK Census
- 603.stplanr::od_data_routesExample segment-level route data
- 604.stplanr::od_data_sampleExample of origin-destination data from UK Census
- 605.stplanr::osm_net_exampleExample of OpenStreetMap road network
- 606.stplanr::rnet_cycleway_intersectionExample of cycleway intersection data showing problems for SpatialLinesNetwork objects
- 607.stplanr::rnet_overpassExample of overpass data showing problems for SpatialLinesNetwork objects
- 608.stplanr::rnet_roundaboutExample of roundabout data showing problems for SpatialLinesNetwork objects
- 609.stplanr::route_network_sfSpatial lines dataset representing a route network
- 610.stplanr::route_network_smallSpatial lines dataset representing a small route network
- 611.stplanr::routes_fast_sfSpatial lines dataset of commuter flows on the travel network
- 612.stplanr::routes_slow_sfSpatial lines dataset of commuter flows on the travel network
- 613.stplanr::zones_sfSpatial polygons of home locations for flow analysis.
- 614.tacmagic::fake_DVRFake DVR data for vignette and package testing
- 615.taxize::apg_familiesMOBOT family names
- 616.taxize::apg_ordersMOBOT order names
- 617.taxize::plantGenusNamesVector of plant genus names from ThePlantList
- 618.taxize::plantNamesVector of plant species (genus - specific epithet) names from ThePlantList
- 619.taxize::rank_refLookup-table for IDs of taxonomic ranks
- 620.taxize::rank_ref_zooLookup-table for IDs of taxonomic ranks (WoRMS)
- 621.taxize::species_plantarum_binomialsSpecies names from Species Plantarum
- 622.taxize::theplantlistLookup-table for family, genus, and species names for ThePlantList
- 623.taxize::worrms_ranksWORMS ranks
- 624.taxlist::EasplistList of vascular plants from East Africa
- 625.tidyhydat::allstationsAll Canadian stations
- 626.tidyhydat::hy_data_symbolsDATA SYMBOLS look-up table
- 627.tidyhydat::hy_data_typesDATA TYPES look-up table
- 628.tidyhydat::param_idParameter ID
- 629.tokenizers::mobydickThe text of Moby Dick
- 630.tradestatistics::ots_commoditiesOTS Commodities
- 631.tradestatistics::ots_commodities_shortOTS Commodities Short
- 632.tradestatistics::ots_countriesOTS Countries
- 633.tradestatistics::ots_countries_colorsOTS Countries Colors
- 634.tradestatistics::ots_gdp_deflatorGDP Deflator
- 635.tradestatistics::ots_sectionsOTS Sections
- 636.tradestatistics::ots_sections_colorsOTS Sections Colors
- 637.tradestatistics::ots_tablesOTS Tables
- 638.traits::plantattPLANTATT plant traits dataset
- 639.treebase::metadatametadata.rda
- 640.treebase::treebasetreebase.rda
- 641.treedata.table::anolisAnole data
- 642.treestartr::absent_listbears
- 643.treestartr::bearsbears
- 644.treestartr::mrca_dfbears
- 645.treestartr::tax_framebears
- 646.treestartr::treebears
- 647.UCSCXenaTools::XenaDataXena Hub Information
- 648.unifir::available_assetsVector of assets unifir can download and import
- 649.USAboundaries::state_codesState codes and abbreviations for U.S. states and territories
- 650.USAboundaries::state_projData for projections from the State Plane Coordinate System
- 651.USAboundaries::states_contemporary_loresU.S. state boundaries
- 652.USAboundariesData::census_citiesHistorical population data for U.S. cities
- 653.USAboundariesData::congress_contemporary_hiresCartographic boundary files from the U.S. Census Bureau
- 654.USAboundariesData::congress_contemporary_loresCartographic boundary files from the U.S. Census Bureau
- 655.USAboundariesData::counties_contemporary_hiresCartographic boundary files from the U.S. Census Bureau
- 656.USAboundariesData::counties_contemporary_loresCartographic boundary files from the U.S. Census Bureau
- 657.USAboundariesData::counties_historical_hiresHistorical state and county boundaries for the United States of America
- 658.USAboundariesData::counties_historical_loresHistorical state and county boundaries for the United States of America
- 659.USAboundariesData::states_contemporary_hiresCartographic boundary files from the U.S. Census Bureau
- 660.USAboundariesData::states_historical_hiresHistorical state and county boundaries for the United States of America
- 661.USAboundariesData::states_historical_loresHistorical state and county boundaries for the United States of America
- 662.USAboundariesData::zipcodesCartographic boundary files from the U.S. Census Bureau
- 663.visdat::dat_binA small toy dataset of binary data with missings.
- 664.visdat::typical_dataA small toy dataset of imaginary people
- 665.visdat::typical_data_largeA small toy dataset of imaginary people
- 666.wateRinfo::air_pressureAir pressure data of January 1st, 2017
- 667.wateRinfo::liedekerkeSoil moisture data of Liedekerke, January 2017
- 668.waywiser::guerryGuerry "Moral Statistics" (1830s)
- 669.waywiser::ny_treesNumber of trees and aboveground biomass for Forest Inventory and Analysis plots in New York State
- 670.waywiser::worldclim_simulationSimulated data based on WorldClim Bioclimatic variables
- 671.weathercan::codesMeaning of climate normal 'codes'
- 672.weathercan::finchesRFID Data on finch visits to feeders
- 673.weathercan::flagsMeaning of coded 'flags'
- 674.weathercan::glossaryGlossary of units and terms
- 675.weathercan::glossary_normalsGlossary of terms for Climate Normals
- 676.weathercan::kamloopsHourly weather data for Kamloops
- 677.weathercan::kamloops_dayDaily weather data for Kamloops
- 678.weathercan::normals_measurement_typesList of climate normals measurements and types for each set of normals
- 679.weathercan::normals_measurementsList of climate normals measurements for each station
- 680.weathercan::pgHourly weather data for Prince George
- 681.weathercan::variables_normals_newIndex of variables for new Climate Normals
- 682.weathercan::variables_normals_oldIndex of variables for new Climate Normals
- 683.weatherOz::dpird_extreme_weather_valuesA List of DPIRD Extreme Weather Data Values
- 684.weatherOz::dpird_minute_valuesA List of DPIRD Minute Weather Data Values
- 685.weatherOz::dpird_summary_valuesA List of DPIRD Summary Weather Data Values
- 686.weatherOz::silo_daily_valuesA List of SILO Daily Weather Values
- 687.weatherOz::south_west_agricultural_regionWestern Australia Southwest Agriculture Region Geospatial Polygon
- 688.webchem::jagstOrganic plant protection products in the river Jagst / Germany in 2013
- 689.webchem::lc50Acute toxicity data from U.S. EPA ECOTOX
- 690.wikitaxa::wikipediasList of Wikipedias