public read Forest Ecosystem Monitoring Cooperative

705 Spear StreetSouth BurlingtonVermont05403United States of America

(802) 656-0683femc@uvm.eduwww.uvm.edu/femcCentre for the Synthesis and Analysis of Biodiversity John Wesley Powell Center for Analysis and Synthesis funderProvides daily average estimates of a wide range of physical properties of the water column for Lake Kinneret based on manual sonde lake data and daily average weather data, for 1969-2014. Manual sonde data typically consisted of a single water column profile collected at weekly or bi-weekly intervals and the sonde data were matched with the corresponding daily average weather data and then used as input into rLakeAnalyzer() package in R v3.6.0 (Read et al. 2011). The daily average weather data are included. Quantiles of each variable (i.e., the ranked order as a proportion) are provided to facilitate evaluation of extreme observations.Forest Ecosystem Monitoring CooperativeJasonStockwellprincipalInvestigatorOrlaneAnnevilleprincipalInvestigatorVijayPatilprincipalInvestigatorMichaelVannicontentProviderTannerWilliamsoncontentProviderEmilyNodinecontentProviderJenniferGrahamcontentProviderGEISHACorecontentProviderJennieBrentrupcontentProvider�Ҳ�ë��DurcontentProviderSamiSouissicontentProvider�������ç�Ǿ���SchmittcontentProviderPatrickVenailcontentProviderNicoSalmasocontentProviderChih-haoHsiehcontentProviderMarcLajeunessecontentProviderRitaAdriancontentProviderDietmarStrailecontentProviderJamesRusakcontentProviderAleksandraLewandowskacontentProviderBastiaanIbelingscontentProviderEvelynGaisercontentProviderLarsRudstamcontentProviderDonPiersoncontentProvider�����é��AlfonsocontentProviderMikkelAndersoncontentProviderRuchiBhattacharyacontentProviderSarahBurnetcontentProviderCayelanCareycontentProviderLaurenceCarvalhocontentProviderChun-WeiChangcontentProviderPabloUrrutia CorderocontentProviderElvirade EytocontentProviderDavidde Motta MarquescontentProviderLisettede Senerpont-DomiscontentProviderIsabelleDomaizoncontentProviderJonathanDoubekcontentProviderClaudiaDresticontentProviderWernerEckertcontentProviderMariekeFrasslcontentProviderMarkGessnercontentProviderScottGirdnercontentProviderHans-PeterGrossartcontentProviderJosefHejzlarcontentProviderScottHigginscontentProviderIrinaIzaguirrecontentProvider����é��󲹲�JacquetcontentProviderNasimeJanathiancontentProviderTheodore AlfredKpodonucontentProviderAloLaascontentProviderMonikaLaPlantecontentProviderYuryLechinskycontentProvider�Ѳ���í��LlamescontentProviderMaryLoftoncontentProviderJorritMesmancontentProviderChrisNavitskycontentProviderPeeter��õ�����contentProviderTina��õ�����contentProviderMariaCalderocontentProviderFrancescoPomaticontentProvider���é��é������RimetcontentProviderKarstenRinkecontentProviderMichelaRogoracontentProviderSteveSadrocontentProviderTorstenSeltmanncontentProviderAngelaShambaughcontentProviderFredericSoulignaccontentProviderKarinSparbercontentProviderHilarySwaincontentProviderMarkSwintoncontentProviderStephenThackeraycontentProviderWimThierycontentProviderVietTran-KhaccontentProviderNicolevan LipzigcontentProviderPietVerburgcontentProviderValerieWentzkycontentProviderHarrietWilsoncontentProviderR. IestynWoolwaycontentProviderHoracioZagaresecontentProviderPetrZnachorcontentProviderShin-Ichiro S.MatsuzakicontentProviderTamarZoharycontentProviderYaronBeeri-ShlevincontentProviderRosalieBruelcontentProviderThe Global Evaluation of the Impacts of Storms on freshwater Habitat and Structure of phytoplankton Assemblages (GEISHA) project is using long-term monitoring datasets and high-frequency data available through international networks to address questions about the impacts of storms on phytoplankton community in over 40 lakes across the globe. GEISHA has been developed within the context of the Global Lake Ecological Observatory Network (GLEON) initiative called “Storm-blitz”. “Storm-blitz” assembles an international group of investigators interested in contributing to theoretical discussions and sharing data to answer questions about the impacts of extreme events on phytoplankton communities. Although climate change is expected to cause more intense and frequent extreme weather events, we only have a basic understanding of how these events might alter freshwater phytoplankton communities. The storm-blitz group was created in 2016 and gathers 17 researchers with diverse skillsets and experiences to focus on data compilation and analysis (https://www.geisha-stormblitz.fr/).Kinneret Derived Lake Physics Sonde Data Provides daily average estimates of a wide range of physical properties of the water column for Lake Kinneret based on manual sonde lake data and daily average weather data, for 1969-2014. Manual sonde data typically consisted of a single water column profile collected at weekly or bi-weekly intervals and the sonde data were matched with the corresponding daily average weather data and then used as input into rLakeAnalyzer() package in R v3.6.0 (Read et al. 2011). The daily average weather data are included. Quantiles of each variable (i.e., the ranked order as a proportion) are provided to facilitate evaluation of extreme observations.VMC.1561.3488mySQL/femc/data/archive/project/geisha-stormblitzfr/dataset/kinneret-derived-lake-physics-sonde-data1969-01-052014-07-06air_press_mbair_press_mbAverage daily air pressuredecimalmeterreal8001200air_press_mb_qair_press_mb_qQuantile of the average daily air pressuredecimalmeterreal01air_temp_cair_temp_cAverage daily air temperaturedecimalmeterrealair_temp_c_qair_temp_c_qQuantile of average daily air temperaturedecimalmeterreal01avg_wind_m_savg_wind_m_sAverage daily wind speeddecimalmeterrealavg_wind_m_s_qavg_wind_m_s_qQuantile of average daily wind speeddecimalmeterreal01date_dd_mm_yyyydate_dd_mm_yyyydatedateDD-MM-YYYYdaydaydayintmeterinteger131doydoyDay of yearintmeterinteger1366epi_temp_cepi_temp_cAverage temperature of the epilimniondecimalmeterrealepi_temp_c_qepi_temp_c_qQuantile of the average temperature of the epilimniondecimalmeterreal01hypo_temp_chypo_temp_cAverage temperature of the hypolimniondecimalmeterrealhypo_temp_c_qhypo_temp_c_qQuantile of average temperature of the hypolimniondecimalmeterreal01lakelakeLake nametextlake_numberlake_numberLake numberdecimalmeterreallake_number_qlake_number_qQuantile of lake numberdecimalmeterreal01max_bvmax_bvMaximum Brunt–Väisälä frequency (= buoyancy frequency)decimalmeterrealmax_bv_qmax_bv_qQuantile of maximum Brunt–Väisälä frequency (= maximum buoyancy frequency)decimalmeterreal01max_wind_m_smax_wind_m_sAverage daily maximum wind speeddecimalmeterrealmax_wind_m_s_qmax_wind_m_s_qQuantile of average maximum daily wind speeddecimalmeterreal01monthmonthMonthintmeterinteger112radiation_j_sec_m2radiation_j_sec_m2Average daily shortwave radiationdecimalmeterrealradiation_j_sec_m2_qradiation_j_sec_m2_qQuantile of daily shortwave radiationdecimalmeterreal01rain_mmrain_mmTotal daily raindecimalmeterrealrain_mm_qrain_mm_qQuantile of total daily raindecimalmeterreal01rel_hum_percrel_hum_percAverage relative humiditydecimalmeterreal0100rel_hum_perc_qrel_hum_perc_qQuantile of the average relative humiditydecimalmeterreal01schmidtschmidtSchmidt stabilitydecimalmeterrealschmidt_qschmidt_qQuantile of Schmidt stabilitydecimalmeterreal01secchi_msecchi_mSecchi depthdecimalmeterrealsecchi_m_qsecchi_m_qQuantile of secchi depthdecimalmeterreal01SowSowShape of water index (under development)decimalmeterrealSow_qSow_qQuantile of the shape of water index (under development)decimalmeterreal01stationidstationidUnique ID for location of sampling; could be more than one per laketexttempdelta_0_10_ctempdelta_0_10_cDifference in temperature at 10-m depth and the surfacedecimalmeterrealtempdelta_0_10_c_qtempdelta_0_10_c_qQuantile of the difference in temperature at 10-m depth and the surfacedecimalmeterreal01tempdelta_0_20_ctempdelta_0_20_cDifference in temperature at 20-m depth and the surfacedecimalmeterrealtempdelta_0_20_c_qtempdelta_0_20_c_qQuantile of the difference in temperature at 20-m depth and the surfacedecimalmeterreal01tempdelta_0_5_ctempdelta_0_5_cDifference in temperature at 5-m depth and the surfacedecimalmeterrealtempdelta_0_5_c_qtempdelta_0_5_c_qQuantile of the difference in temperature at 5-m depth and the surfacedecimalmeterreal01tempdelta_0_Zmax_ctempdelta_0_Zmax_cDifference in temperature at the bottom and the surfacedecimalmeterrealtempdelta_0_Zmax_c_qtempdelta_0_Zmax_c_qQuantile of the difference in temperature at the bottom and the surfacedecimalmeterreal01wedderburnwedderburnWedderburn numberdecimalmeterrealwedderburn_qwedderburn_qQuantile of Wedderburn numberdecimalmeterreal01wind_dir_degwind_dir_degAverage direction from which the wind is blowing; ranges from 0 to < 360 degreesdecimalmeterreal0359.9999wind_dir_deg_qwind_dir_deg_qQuantile of the average daily wind directiondecimalmeterreal01yearyearYeardecimalmeterreal19692014Zbv_mZbv_mDepth of maximum buoyancy frequency (max_bv)decimalmeterrealZbv_m_qZbv_m_qQuantile of depth at maximum Brunt–Väisälä frequency (= buoyancy frequency)decimalmeterreal01Zeu_mZeu_mEuphotic zone depthdecimalmeterrealZeu_m_qZeu_m_qQuantile of the euphotic zone depthdecimalmeterreal01Zeu_ZmixZeu_ZmixRatio of the euphotic zone depth (Zeu_m) to mixing depth (Zmix)decimalmeterrealZeu_Zmix_qZeu_Zmix_qQuantile of the ratio of the euphotic zone depth (Zeu_m) to mixing depth (Zmix)decimalmeterreal01Zmix_mZmix_mMixing depthdecimalmeterrealZmix_m_qZmix_m_qQuantile of mixing depthdecimalmeterreal01Zmix_ZtcZmix_ZtcRatio of the mixing depth (Zmix_m) to thermocline depth (Ztc_m)decimalmeterrealZmix_Ztc_qZmix_Ztc_qQuantile of the ratio of the mixing depth to thermocline depthdecimalmeterreal01Ztc_mZtc_mThermocline depthdecimalmeterrealZtc_m_qZtc_m_qQuantile of thermocline depthdecimalmeterreal01