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Chronicles of nature calendar, a long-term and large-scale multitaxon database on phenology.

Otso OvaskainenEvgeniy MeykeCoong LoGleb TikhonovMaria Del Mar DelgadoTomas V RoslinEliezer GurarieMarina AbadonovaOzodbek AbduraimovOlga AdrianovaTatiana AkimovaMuzhigit AkkievAleksandr AnaninElena AndreevaNatalia AndriychukMaxim AntipinKonstantin ArzamascevSvetlana BabinaMiroslav BabushkinOleg BakinAnna BarabancovaInna BasilskajaNina BelovaNatalia BelyaevaTatjana BespalovaEvgeniya BisikalovaAnatoly BobretsovVladimir BobrovVadim BobrovskyiElena BochkarevaGennady BogdanovVladimir BolshakovSvetlana BondarchukEvgeniya BukharovaAlena ButuninaYuri BuyvolovAnna BuyvolovaYuri BykovElena ChakhirevaOlga ChashchinaNadezhda CherenkovaSergej ChistjakovSvetlana ChuhontsevaEvgeniy A DavydovViktor DemchenkoElena DiadichevaAleksandr DobrolyubovLudmila DostoyevskayaSvetlana DrovninaZoya DrozdovaAkynaly DubanaevYuriy DubrovskySergey ElsukovLidia EpovaOlga S ErmakovaOlga ErmakovaAleksandra EsengeldenovaOleg EvstigneevIrina FedchenkoVioletta FedotovaTatiana FilatovaSergey GashevAnatoliy GavrilovIrina GaydyshDmitrij GolovcovNadezhda GoncharovaElena GorbunovaTatyana GordeevaVitaly GrishchenkoLudmila GromykoVladimir HohryakovAlexander HritankovElena IgnatenkoSvetlana IgoshevaUliya IvanovaNatalya IvanovaYury KalinkinEvgeniya KaygorodovaFedor KazanskyDarya KiselevaAnastasia KnorreLeonid KolpashikovEvgenii KorobovHelen KorolyovaNatalia KorotkikhGennadiy KosenkovSergey KossenkoElvira KotlugalyamovaEvgeny KozlovskyVladimir KozsheechkinAlla KozurakIrina KozyrAleksandra KrasnopevtsevaSergey KruglikovOlga KuberskayaAleksey KudryavtsevElena KulebyakinaYuliia KulshaMargarita KupriyanovaMurad KurbanbagamaevAnatoliy KutenkovNadezhda KutenkovaNadezhda KuyantsevaAndrey KuznetsovEvgeniy LarinPavel LebedevKirill LitvinovNatalia LuzhkovaAzizbek MahmudovLidiya MakovkinaViktor MamontovSvetlana MayorovaIrina MegalinskajaArtur MeydusAleksandr MininOleg MitrofanovMykhailo MotrukAleksandr MyslenkovNina NasonovaNatalia NemtsevaIrina NesterovaTamara NezdoliyTatyana NirodaTatiana NovikovaDarya PanichevaAlexey PavlovKlara PavlovaPolina PetrenkoSergei PodolskiNatalja PolikarpovaTatiana PolyanskayaIgor PospelovElena PospelovaIlya ProkhorovIrina ProkoshevaLyudmila PuchninaIvan PutrashykJulia RaiskayaYuri RozhkovOlga RozhkovaMarina RudenkoIrina RybnikovaSvetlana RykovaMiroslava SahnevichAlexander SamoylovValeri SankoInna SapelnikovaSergei SazonovZoya SelyuninaKsenia ShalaevaMaksim ShashkovAnatoliy ShcherbakovVasyl ShevchykSergej ShubinElena ShujskajaRustam SibgatullinNatalia SikkilaElena SitnikovaAndrei SivkovNataliya SkokSvetlana SkorokhodovaElena SmirnovaGalina SokolovaVladimir SopinYurii SpasovskiSergei StepanovVitalіy StratiyVioletta StrekalovskayaAlexander SukhovGuzalya SuleymanovaLilija SultangareevaViktorija TeleganovaViktor TeplovValentina TeplovaTatiana TertitsaVladislav TimoshkinDmitry TirskiAndrej TolmachevAleksey TomilinLudmila TselishchevaMirabdulla TurgunovYurij TyukhVan VladimirElena VargotAleksander VasinAleksandra VasinaAnatoliy VekliukLidia VetchinnikovaVladislav VinogradovNikolay VolodchenkovInna VoloshinaTura XoliqovEugenia Yablonovska-GrishchenkoVladimir YakovlevMarina YakovlevaOksana YantserYurij YaremaAndrey ZahvatovValery ZakharovNicolay ZelenetskiyAnatolii ZheltukhinTatyana ZubinaJuri Kurhinen
Published in: Scientific data (2020)
We present an extensive, large-scale, long-term and multitaxon database on phenological and climatic variation, involving 506,186 observation dates acquired in 471 localities in Russian Federation, Ukraine, Uzbekistan, Belarus and Kyrgyzstan. The data cover the period 1890-2018, with 96% of the data being from 1960 onwards. The database is rich in plants, birds and climatic events, but also includes insects, amphibians, reptiles and fungi. The database includes multiple events per species, such as the onset days of leaf unfolding and leaf fall for plants, and the days for first spring and last autumn occurrences for birds. The data were acquired using standardized methods by permanent staff of national parks and nature reserves (87% of the data) and members of a phenological observation network (13% of the data). The database is valuable for exploring how species respond in their phenology to climate change. Large-scale analyses of spatial variation in phenological response can help to better predict the consequences of species and community responses to climate change.
Keyphrases
  • climate change
  • electronic health record
  • big data
  • adverse drug
  • healthcare
  • quality improvement
  • artificial intelligence
  • human health
  • genetic diversity
  • deep learning