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  • 2015-2019  (1,014,361)
  • 2000-2004  (16)
  • 1940-1944  (3)
  • 2019  (1,014,361)
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Year
  • 1
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    Alkenone- and GDGT-based temperature proxies in surface sediments in the south-eastern Brazilian continental margin (Campos Basin) (2019)
    PANGAEA
    In:  Supplement to: Ceccopieri, Milena; Carreira, Renato S; Wagener, Angela L R; Hefter, Jens; Mollenhauer, Gesine (2018): On the application of alkenone- and GDGT-based temperature proxies in the south-eastern Brazilian continental margin. Organic Geochemistry, 126, 43-56, https://doi.org/10.1016/j.orggeochem.2018.10.009
    Details
    Publication Date: 2024-06-18
    Description: The applicability of two organic geochemical proxies (UK'37 based on alkenones and TEXH86 based on glycerol dialkyl glycerol tetraethers) for ocean temperatures was investigated on a regional scale in the SE Brazilian continental margin (Campos Basin) using 53 core-top sediments. In 71% of the samples for UK'37 and 85% for TEXH86, the estimated annual mean sea surface temperature (SST) is comparable to the climatological annual mean data, with deviations within the calibration error. The surface TEXH86 estimates reflects the surface mixed layer, while the depth-integrated (0-200 m) TEXH86 estimates showed better agreement with temperatures at 100-200 mdepth. In addition, the SST-UK'37 results were more consistent (73% of the samples) using a winter calibration rather than an annual mean calibration. This seasonal effect might be ascribed to an increase in the abundance of haptophytes in the region during the winter. Exceptions to these general trends were observed for both proxies as a strong cold bias in reconstructed temperature in a few samples in the southern portion of the studied region, which may be related to (i) a predominant subsurface habitat of Thaumarchaeota combined with enhanced primary production and flux of particles during upwelling and (ii) alkenones being laterally transported from adjacent colder waters. Effects of river input of terrestrially sourced GDGTs on TEXH86 are not evident. Overall, our findings show that UK'37 and TEXH86 are suitable temperature proxies for paleoclimate studies at a regional scale in the SE Brazilian continental margin, but on a local scale the effects of upwelling must be taken in consideration.
    Keywords: A01; A02; A03; A04; A05; A06; A07; A08; A09; A10; A11; A12; Acyclic glycerol dialkyl glycerol tetraether, fractional abundance; Alkenone, per unit mass total organic carbon; Alkenone, unsaturation index UK'37; Alkenone per unit sediment mass; B1; B10; B11; B12; B2; B3; B4; B5; B6; B7; B8; B9; BCM; Box corer, modified; Cabo Frio upwelling system; Campos Basin; Campos Basin Environmental Heterogeneity Project (CENPES/Petrobras); Crenarchaeol, fractional abundance; Crenarchaeol isomer, fractional abundance; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dicyclic glycerol dialkyl glycerol tetraether, fractional abundance; Event label; extracted from the World Ocean Atlas 2013 (WOA13); G03; G04; G05; G07; G08; G09; G10; G11; G12; Gyre; H1; H10; H11; H12; H2; H3; H4; H5; H6; H7; HAB_A01; HAB_A02; HAB_A03; HAB_A04; HAB_A05; HAB_A06; HAB_A07; HAB_A08; HAB_A09; HAB_A10; HAB_A11; HAB_A12; HAB_B1; HAB_B10; HAB_B11; HAB_B12; HAB_B2; HAB_B3; HAB_B4; HAB_B5; HAB_B6; HAB_B7; HAB_B8; HAB_B9; HAB_G03; HAB_G04; HAB_G05; HAB_G07; HAB_G08; HAB_G09; HAB_G10; HAB_G11; HAB_G12; HAB_H1; HAB_H10; HAB_H11; HAB_H12; HAB_H2; HAB_H3; HAB_H4; HAB_H5; HAB_H6; HAB_H7; HAB_I02; HAB_I04; HAB_I05; HAB_I06; HAB_I07; HAB_I08; HAB_I09; HAB_I10; HAB_I11; HAB_I12; HAB10; HAB11; HAB13; HAB5; HAB8; HAB9; Habitats; High Performance Liquid Chromatography (HPLC-APCI-MS); I02; I04; I05; I06; I07; I08; I09; I10; I11; I12; Isoprenoid glycerol dialkyl glycerol tetraether, per unit mass total organic carbon; Isoprenoid glycerol dialkyl glycerol tetraether, per unit sediment mass; Miss Emma McCall; Monocyclic glycerol dialkyl glycerol tetraether, fractional abundance; Sea surface temperature, annual mean; South Atlantic Ocean; Surface sediments; Tetraether index of 86 carbon atoms; TEXH86; Tricyclic glycerol dialkyl glycerol tetraether, fractional abundance; UK'37; van Veen Grab, modified; VGRABM
    Type: Dataset
    Format: text/tab-separated-values, 745 data points
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  • 2
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    Age-depth model of sediment core 162-983 and associated dating uncertainty (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Keywords: 162-983; Age, maximum/old; Age, minimum/young; Age model; COMPCORE; Composite Core; DEPTH, sediment/rock; Joides Resolution; Leg162; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 4830 data points
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  • 3
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    A summary of consistently dated Atlantic sediment cores over the last 40 thousand years (2019)
    PANGAEA
    Details
    Publication Date: 2024-06-18
    Description: Rapid changes in ocean circulation and climate have been observed in marine-sediment and ice cores over the last glacial period and deglaciation, highlighting the non-linear character of the climate system and underlining the possibility of rapid climate shifts in response to anthropogenic greenhouse gas forcing. To date, these rapid changes in climate and ocean circulation are still not fully explained. One obstacle hindering progress in our understanding of the interactions between past ocean circulation and climate changes is the difficulty of accurately dating marine cores. Here, we present a set of 92 marine sediment cores from the Atlantic Ocean for which we have established age-depth models that are consistent with the Greenland GICC05 ice core chronology, and computed the associated dating uncertainties, using a new deposition modeling technique. This is the first set of consistently dated marine sediment cores enabling paleoclimate scientists to evaluate leads/lags between circulation and climate changes over vast regions of the Atlantic Ocean. Moreover, this data set is of direct use in paleoclimate modeling studies.
    Keywords: 053-2; 057-1; 087-1; 162-983; 165-1002; 172-1060; 175-1078C; 175-1084; 293; 311; 3664N/S; 63F/NL; 90b; 94-609; Agadir Canyon; ALIENOR; ALTITUDE; AMADEUS; Amazon Fan; AMOCINT, IMAGES XVII; Angola Basin; ARK-X/2; Atlantic; Atlantic Ocean; Atlantic sediment cores; Azores; BC; Benguela Current, South Atlantic Ocean; Blake-Bahama Outer Ridge, North Atlantic Ocean; Box corer; CALYPSO; Calypso Corer; Calypso square corer; Calypso Square Core System; CASQ; CASQS; Cayman Rise, Caribbean Sea; CD159; CD159-10; CD159-17; CEPAG; CH22KW31; CH69-K09; Charles Darwin; CHO288-54; Comment; COMPCORE; Composite Core; consistent dating; Continental Slope Northeast Brazil; Core; CORE; Corner Rise; DAPC2; Denmark Strait; De Soto Canyon; DRILL; Drilling/drill rig; East Atlantic; ENAM9321; ENAM93-21; Event label; EW9209-1JPC; Faeroes Bank; Falkland Plateau, Southern Falkland Plateau (same site as GC526); Faroe Islands margin; Florida Strait; French Guiana; GC; GC528 CORE_NO 528; GeoB1023-5; GeoB1515-1; GeoB16202-2; GeoB16206-1; GeoB16224-1; GeoB1711; GeoB1711-4; GeoB1720-2; GeoB3202-1; GeoB3910-2; GeoB4240-2; GeoB5546-2; GeoB6201-5; GeoB7920-2; GeoB9508-5; GeoB9526-5; GEOFAR; GEOSCIENCES, MARMARCORE; GGC; GGC5; Giant gravity corer; GIK12392-1; GIK15669-1; GIK23415-9; GL1090; GL-1090; Glomar Challenger; Gravity corer; Gravity corer (Kiel type); GS07-150-17/1GC-A; Iceland; IMAGES I; IMAGES IX - PAGE; IMAGES V; IMAGES XV - Pachiderme; James Clark Ross; Joides Resolution; JOPSII-8; JR20110128; JR244; JR244-GC528; KAL; Kasten corer; KF13; KF16; KL; KM31; KN_USA; KN159-5; KN166-2; Knorr; KNR140; KNR140-2-51GGC; KNR140-51GGC; KNR159-5; KNR159-5-36GGC; KNR159-5-42JPC; KNR166-2; KNR166-2-26; KNR166-2-26JPC; KNR166-2-29; KNR166-2-29JPC; KNR166-2-31; KNR166-2-31JPC; KNR166-2-73; KNR166-2-73GGC; KNR197-10; KNR197-10-GGC17; KNR31GPC5; last 40 ky; LATITUDE; Leg162; Leg165; Leg172; Leg175; Leg94; Le Noroit; Le Suroît; LONGITUDE; M12392-1; M16/2; M17/2; M20/2; M25; M34/4; M35/1; M35003-4; M37/1; M39/1; M39/1_08-3; M39008-3; M42/4b; M46/2; M53; M53_169; M53/1; M6/6; M65/1; Marge Ibérique; Maria S. Merian; Marion Dufresne (1995); MD01-2461; MD022575; MD02-2575; MD02-2588; MD02-2588Q; MD02-2592; MD02-2594; MD03-2697; MD03-2698; MD03-2705; MD03-2707; MD04-2805CQ; MD04-2805Q; MD04-2845; MD07-3076; MD07-3076Q; MD08-3167; MD08-3180; MD08-3227G; MD09-3246; MD09-3256; MD09-3256Q; MD101; MD114; MD123; MD127; MD128; MD134; MD140; MD141; MD159; MD16-3511; MD16-3511Q; MD168; MD173; MD952002; MD95-2002; MD952006; MD95-2006; MD952010; MD95-2010; MD952014; MD95-2014; MD952037; MD95-2037; MD952039; MD95-2039; MD952040; MD95-2040; MD952041; MD95-2041; MD952042; MD95-2042; MD99-2281; MD99-2284; MD99-2331; MD99-2334; Meriadzec; Meteor (1964); Meteor (1986); Method comment; MSM20/3; N. Shetland channel; NA87-22; Namibia continental slope; Newfoundland margin; North Atlantic; North Atlantic/FLANK; North East Atlantic; Northeast Brasilian Margin; Norwegian Sea; OCE205-103GGC; OCE205-2-100GGC; OCE205-2-100GGGC; OCE205-2-103GGC; OCE326-GGC5; off Rio Paraiba do Sul; off West Africa; PALEOCINAT; PALEOCINAT II; PC; Persistent Identifier; PICABIA; Piston corer; Piston corer (BGR type); Polarstern; Porto Seamount; PRIVILEGE; PS2644-5; PS31; PS31/160-5; RAPiD-10-1P; RAPiD-17-5P; Reference/source; RETRO-2; REYKJANES-RÜCKEN; S94-2-KS04; SL; SO82; SO82_5-2; Sonne; South Atlantic; South Atlantic Ocean; Southern Ocean; South of Iceland; SU81-18; SU90-08; SU90-24; SU92; SU92-03; SWAF; Tagus-Sado canyon system; TNO57-21; Uniform resource locator/link to graphic; V29; V29-202; Vema; Victor Hensen; Vigo; Voring Plateau; western South Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 563 data points
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  • 4
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    The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970-2018 (2019)
    PANGAEA
    In:  Supplement to: Rutishauser, This; Jeanneret, François; Brügger, Robert; Brugnara, Yuri; Röthlisberger, Christian; Bernasconi, August; Bangerter, Peter; Portenier, Céline; Villiger, Leonie; Lehmann, Daria; Meyer, Lukas; Messerli, Bruno; Brönnimann, Stefan (2019): The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970 - 2018. Earth System Science Data, 11(4), 1645-1654, https://doi.org/10.5194/essd-11-1645-2019
    Details
    Publication Date: 2024-06-17
    Description: In 1970, the Geographical Institute of the University of Berne initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow originally served for applications in urban and regional planning, agricultural and touristic suitability and are now a valuable data set for climate change impacts studies. Covering the growing season volunteer observers record key development stages of hazel (Coryllus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information including location, altitude, exposition and inclination that make BernClim unique in detail-richness and temporal coverage. Quality control by experts and statistical analyses system of the data has been performed to flag impossible dates, outliers of the biological range, repeated dates in the same year, four consecutive identical dates after removing non-first and dates outside of +/-3 sd of each series and all series for a given years after removing non-first. Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the quality control procedure and selected applications. QC points to a good internal consistency and likely a quality of the data. Variability tests flagged five dates (0.07%) were outside 3 sd per series and ten dates (0.13%) were outside 3 sd of all series in a given year. BernClim data indicate a trend towards an extended growing season. They also well track the regime shift in the late 1980s.
    Keywords: Berne; Climate change; climate impact; plant phenology; Seasonality; Switzerland
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
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    Calcareous nannofossils absolute abundance and accumulation rates (2019)
    PANGAEA
    In:  Supplement to: Suchéras-Marx, Baptiste; Mattioli, Emanuela; Allemand, Pascal; Giraud, Fabienne; Pittet, Bernard; Plancq, Julien; Escarguel, Gilles (2019): The colonization of the oceans by calcifying pelagic algae. Biogeosciences, 16(12), 2501-2510, https://doi.org/10.5194/bg-16-2501-2019
    Details
    Publication Date: 2024-06-17
    Description: This database is a compilation of studies published and unpublished quantifying calcareous nannofossils absolute abundances using Geisen et al. (1999) random-settling calibration. The data are ranging from Sinemurian (Lower Jurassic) to Quaternary. They were made on DSDP-ODP-IODP deep sea drilling, land sediment cores or, in most cases, land outcrop sections samples. Calcareous nannofossil accumulation rates (NAR) were calculated or updated by estimating sedimentation rates following sub-stages and biozones durations provided by Gradstein et al. (2012) or astrochronology when possible. In most sites, there were no indication of the dry bulk density (DBD), hence a type value was selected. This parameter is not critical for NAR calculated from land outcrop section samples (see Suchéras-Marx et al., 2014 Marine Micropaleontology). The results of the compilation is published in Suchéras-Marx et al., 2019 Biogeosciences.
    Keywords: absolute abundance; Accumulation rate; calcareous nannofossil; macroevolution
    Type: Dataset
    Format: application/zip, 79 datasets
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  • 6
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    Basic and other measurements of radiation at station Izaña (2019-01) (2019)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1325568 data points
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  • 7
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    Basic and other measurements of radiation at station Izaña (2018-12) (2019)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1352464 data points
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  • 8
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    Basic and other measurements of radiation at station Izaña (2019-03) (2019)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1349684 data points
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  • 9
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    Basic and other measurements of radiation at station Gobabeb (2019-05) (2019)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-17
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580153 data points
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  • 10
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    Basic measurements of radiation at station Lindenberg (2017-10) (2019)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM22, SN 020073, WRMC No. 12014; Pyranometer, Kipp & Zonen, CM22, SN 020074, WRMC No. 12013; Pyrgeometer, Eppley, PIR, SN 32802F3, WRMC No. 12011; Pyrheliometer, Kipp & Zonen, CH1, SN 030340, WRMC No. 12016; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847476 data points
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