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  • PANGAEA  (7,912)
  • American Institute of Physics
  • 2020-2024  (7,912)
  • 2020-2023
  • 2023  (7,912)
  • 2023  (7,912)
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  • 2020-2024  (7,912)
  • 2020-2023
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  • 1
    Publication Date: 2023-08-25
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Type: info:eu-repo/semantics/workingPaper
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  • 2
    Publication Date: 2024-01-19
    Description: Presented are analytical data from lacustrine sediment cores, retrieved from Lake Nam Co (Tibetan Plateau). The sediment core is a composite of one gravity core, taken with a Rumohr-Meischner gravity corer (63 mm diameter) and a piston core, retrieved using an uwitec piston coring system (http://www.uwitec.at; 90 mm diameter). The composite core labelled 〈NC 08/01〉 comprises a total length of 10.378 m. The cores were obtained at N 30.737417, E 090.790333 at a water depth of 93 m on 2008-09-15. The purpose of obtaining this sediment core was to establish a high-resolution record of climate (monsoonal) and environmental change using multiple proxy data. The dataset comprises analytical data based on sedimentological, inorganic geochemical, mineralogical and isotope-geochemical methods. Specifically: sediment water content & density; magnetic susceptibility; particel size data; quantitative inorganic geochemical data (ICP-OES aqua regia and HCL digestions); semi-quantitative XRF elemental data; carbon, nitrogen, sulfur contents; qualitative mineralogical data; bulk sediment stable carbon and oxygen isotope data.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 3
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized X-ray fluorescence line scanning (XRF)-based element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). The downcore elemental composition was measured using an AVAATECH x-ray fluorescence core scanner at Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Berlin, Spandau.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 4
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Radiocarbon data have been analysed from bulk sediment samples in Bremerhaven at the MICADAS laboratory. Optically stimulated luminescence (OSL) dating was performed at the Royal Holloway Luminescence Laboratory using a Risø TL/OSL-DA-15 automated dating system.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 5
    Publication Date: 2024-01-19
    Description: A 25-cm long predominantly aragonite stalagmite was collected November 2, 2005 from Dharamjali Cave (29.5°N, 80.2°E) in the central Himalayas. This dataset contains stable isotope, trace element, XRF, U/Th dating, and dripwater data. The age model spans 4.2 to 2.3 ka BP, and the dataset records seasonal shifts in hydroclimate from 4.2 to 3.1 ka BP. Using the DHAR-1A half of the speleothem, 750 samples were milled at 100–300 µm resolution for stable isotope analysis (δ18O and δ13C) and analyzed at GFZ Potsdam. Further high-resolution stable isotope analysis at the University of Cambridge included 876 samples from the bottom 4 cm of the mirroring slab DHAR-1B, covering c. 4.2–3.6 ka BP. The δ44/40Ca measurements were made on 60 aragonite samples of aragonite and 1 calcite sample milled between 4.2 and 2.8 ka BP. The elemental composition of DHAR-1B was determined first with an Avaatech XRF scanner at the University of Cambridge, and later using laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) at the University of Waikato. U-series dating was performed at Caltech on 22 samples. Twelve U-series ages (between 2.55 and 4.14 ka BP) were used to construct the age models, using ensembles of 2000 Monte Carlo simulations for each proxy using the MATLAB-based COPRA script (Breitenbach et al., 2012, https://doi.org/10.5194/cp-8-1765-2012).
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 6
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized grain size element data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Grain-size was measured using a Malvern Mastersizer 3000 laser diffraction particle analyser.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 7
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized mineral data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Bulk mineralogy was analysed by (x-ray diffractometry (XRD) using a (PHILIPS, Netherlands) PW1820 goniometer.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 8
    Publication Date: 2024-01-19
    Description: This data set is part of a larger data harmonization effort to make lake sediment core data machine readable and comparable. Here we standardized radiocarbon and OSL age data of sediment core EN18208, retrieved in 2018 from Lake Ilirney (Chukotka, Russia) at 10.76 m water depth. The glacial lake Ilirney is situated in the forest tundra mountain area and has one outflow, one main inflow and several smaller inflows. It lies at an elevation of ca. 428 m a.s.l. with a surface area of ca. 30 km2 and a maximum lake water depth of estimated 44 m. The 10.76 m sediment core was retrieved by a UWITEC piston corer during the RU-Land_2018_Chukotka expedition of the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI, Germany, Potsdam) in cooperation with the North Eastern Federal State University (NEFU, Russia, Yakutsk). Water content and organic matter was analysed at AWI Potsdam. Dried and milled samples were analysed using a Vario EL III carbon-nitrogen-sulphur analyser. Organic carbon content was determined using a Vario MAX C analyser.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 9
    Publication Date: 2023-09-18
    Description: Surface air temperature measurements obtained from different sensors are used to construct a unique time series with one minute time-interval. Apart from differences in design and environmental exposition, periods of missing data also exist in the data series of each sensor. A primary data set was selected in terms of quality and temporal extension. A combination of two different techniques is applied to complete this data set: one is based on the autocorrelation of the series and the other on measurements taken from other sensors. The resulting values constitute a complete series of surface air temperature at AGGO.
    Type: info:eu-repo/semantics/workingPaper
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  • 10
    Publication Date: 2024-01-24
    Description: This dataset contain stable isotope values for water samples collected ~weekly from the Rio Bermejo at the Lavalle bridge (-25.6513, -60.1277) from March 2016 to February 2018. Water samples were filtered to 0.2 micron using a custom filtration device. We measured d2H and d18O on a Picarro L-2140i Cavity Ring-Down Spectrometer at the GFZ Potsdam. Measurements were made in duplicate, normalized to the Vienna Standard Mean Ocean Water (VSMOW), and analytical uncertainty is reported as one standard deviation from the mean. River discharge was measured at the El Colorado gauging station, which is ~100 km down slope from the sampling location.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 11
    Publication Date: 2024-01-24
    Description: This dataset provides the geochemistry data for the Holocene sediment sequence retrieved from Lake Uddelermeer (The Netherlands) in 2012. Additionally, alkane concentrations for a set of modern leaf samples are provided. Concentrations of fossil alkanes, GDGTs as well as elemental (C, N, S, H) and compound-specific delta Deuterium measurements are presented against both depth (cm) and age (cal yr. BP). A total of 59 samples were analysed. Modern leaf alkane concentrations are presented as concentrations, 10 samples were analysed. The geochemical data provides information about regional vegetation change as well as changes in effective precipitation. It was produced to inform on the age and duration of major environmental transitions during the middle and late Holocene. Cores were retrieved from the lake using a 3-m long handheld piston corer deployed from a floating coring platform during field work in April and May 2012. Samples were obtained from splits of the core and processed in the laboratory of the University of Amsterdam (the Netherlands) using standard protocols (CNHS, alkane concentrations), the laboratory of Utrecht University (the Netherlands; GDGT concentrations) and at GFZ Potsdam (Germany; delta Deuterium). Name of the Campaign: UDD Event Label: UDD-E Method: Uwitec piston corer Latitude: 52.24652778 Longitude: 5.76097222 Elevation: 24m asl Date/Time of event: 2012-05-01T14:00:00 Further information about event: Lake sediment sequence retrieved using a 60 mm piston corer deployed from a floating platform.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 12
    Publication Date: 2024-01-24
    Description: Water samples were filtered to 0.2 micron prior to measurement. Samples for cation analysis were acidified in the field to pH 〈 2 using 6N HNO3. Cation concentrations were measured with a Varian 720 inductively coupled plasma optical emission spectrometer (ICP-OES) at the GFZ Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES), using SLRS-5 (Saint-Laurent River Surface, National Research Council - Conseil National de Recherches Canada) and USGS M212 and USGS T187 as external standards. We corrected for instrument drift by measuring an internal standard (GFZ-RW1) every 10 samples and we determined measurement uncertainty using calibration curve uncertainty. Anion concentrations were measured with a Dionex ICS1100 Ion Chromatograph, using USGS standards M206 and M212 as external standards for quality control, with uncertainty determined from triplicate analysis. We corrected cation concentrations for cyclic salt inputs following Bickle et al. (2005, doi:10.1016/j.gca.2004.11.019).
    Language: English
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  • 13
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; Depth, bathymetric; DEPTH, water; Event label; Manganese; Saturation index; The Little Belt
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 14
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-1; AL543_13-1; AL543_8-1; Alkor (1990); Baltic Sea; Barium; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Replicates; Standard deviation; The Little Belt; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
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  • 15
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Baltic Sea; Barium; Comment; DEPTH, sediment/rock; Event label; Manganese; MIC; MiniCorer; Replicates; Saturation index; Standard deviation; Sulfate; The Little Belt; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 271 data points
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  • 16
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: AL543; AL543_10-2; AL543_13-2; AL543_8-4; Alkor (1990); Aluminium; Baltic Sea; Barium; Carbon, organic, total; Comment; DEPTH, sediment/rock; Event label; MIC; MiniCorer; Porosity; Replicates; Standard deviation; The Little Belt; Water content, wet mass; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
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  • 17
    Publication Date: 2023-03-14
    Description: Barium (Ba) isotopes are a promising new tracer for riverine freshwater input to the ocean and marine biogeochemical cycling. However, many processes that affect Ba cycling at continental margins have not yet been investigated with respect to Ba isotope fractionation. We present a comprehensive data set of Ba concentration and isotope data for water column, pore water and sediment samples from Kiel Bight, a seasonally stratified and hypoxic fjord in the southwestern Baltic Sea.
    Keywords: Aluminium; Barium; Distance; Event label; HAND; Replicates; Sampling by hand; Schoenhagen; Standard deviation; Stohl; δ138Ba
    Type: Dataset
    Format: text/tab-separated-values, 126 data points
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  • 18
    Publication Date: 2023-03-24
    Description: Transport, distribution and remobilization processes of sediments and suspended matter of the Wadden Sea or within the marine areas have a major influence on the pollution situation of the these areas. The combined analysis of element fingerprints and isotope ratios of selected elements is suitable to provide valuable insights into the origin, transport pathways and distribution of sediments and suspended sediments within the study area. Thus, sediment and freshwater samples were taken from the German part of the Elbe river and its tributaries in August and October 2015 to identify their elemental and isotopic fingerprint and to investigate potential inputs of this major river system into the German Bight. All sediment samples were taken using a box grab and were analyzed for their grain size distribution by laser diffraction.
    Keywords: Alte Harb. Elbbruecke; Artlenburg; BC; Belgern; Bielenberg Leuchtf.; Billwerder Inseln; Blankenese; Box corer; Breitenhagen rechts; Brunsbuettel Elbhafen; Bunthausspitze; Coswig rechts; DATE/TIME; DEPTH, sediment/rock; Device type; Doemitz rechts; Elbe and North Sea; Elbstorf; ELEVATION; Event label; Geesthacht; Glameyer; Glueckstadt; Grain size, LASER Particle Sizer; Grauerort; Havel/Kanalmuendung; Havel/Schleusenkanal; Helmholtz-Zentrum Hereon; Hereon; Hinzdorf rechts; Hohenwarthe rechts; Hohnstorf; Hollerwettern; Jahna; Koehlbrand; Kugelbake; LATITUDE; Lauenburg links; LONGITUDE; LP_2015_08_S_1; LP_2015_08_S_10; LP_2015_08_S_11; LP_2015_08_S_12; LP_2015_08_S_13; LP_2015_08_S_14; LP_2015_08_S_15; LP_2015_08_S_16; LP_2015_08_S_17; LP_2015_08_S_18; LP_2015_08_S_19; LP_2015_08_S_2; LP_2015_08_S_20; LP_2015_08_S_21; LP_2015_08_S_22; LP_2015_08_S_23; LP_2015_08_S_24; LP_2015_08_S_25; LP_2015_08_S_26; LP_2015_08_S_27; LP_2015_08_S_28_2; LP_2015_08_S_29; LP_2015_08_S_3; LP_2015_08_S_30_2; LP_2015_08_S_31_2; LP_2015_08_S_32; LP_2015_08_S_33_3; LP_2015_08_S_34_2; LP_2015_08_S_35_2; LP_2015_08_S_36; LP_2015_08_S_37_1; LP_2015_08_S_38_1; LP_2015_08_S_39_1; LP_2015_08_S_4; LP_2015_08_S_40_1; LP_2015_08_S_41_1; LP_2015_08_S_42_1; LP_2015_08_S_43_1; LP_2015_08_S_44_1; LP_2015_08_S_45_1; LP_2015_08_S_46_1; LP_2015_08_S_47_1; LP_2015_08_S_48; LP_2015_08_S_49_1; LP_2015_08_S_5; LP_2015_08_S_50_1; LP_2015_08_S_51_1; LP_2015_08_S_52_1; LP_2015_08_S_53_1; LP_2015_08_S_54_1; LP_2015_08_S_55_1; LP_2015_08_S_56_1; LP_2015_08_S_57_1; LP_2015_08_S_58_1; LP_2015_08_S_59_1; LP_2015_08_S_6; LP_2015_08_S_60_1; LP_2015_08_S_61_1; LP_2015_08_S_62; LP_2015_08_S_63; LP_2015_08_S_64; LP_2015_08_S_65_2; LP_2015_08_S_66; LP_2015_08_S_67; LP_2015_08_S_68_1; LP_2015_08_S_69; LP_2015_08_S_7; LP_2015_08_S_71_2; LP_2015_08_S_72_1; LP_2015_08_S_73_1; LP_2015_08_S_74; LP_2015_08_S_8; LP_2015_08_S_9; LP201508; Lt. Vogelsand; Ludwig Prandtl; Luehemuendung; Magdeburg rechts; Mueglitz Muendung; Muldemuendung; MULT; Multiple investigations; Neu Darchau rechts; Neue Elbbruecken; Neufeld; Neuland; Neumuehlen; Niegrip/Elbe-Havelkanal; Nienstedten; Optional event label; Oste; Otterndorf; Pegel Brockdorf; Pillnitz; Pretzsch rechts; Rosslau links; Rosslau rechts; Saale; Saalemuendung; Sample code/label; Sandau rechts; Scharfenberg; Scharhoernriff; Schmilka; Schnackenburg rechts; Schoenebeck rechts; Schulau; Schwarze Elster Muendung; Schwinge; Seemannshoeft; Size fraction 〈 0.020 mm; Size fraction 〈 0.020 mm, standard deviation; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.063 mm, mud, silt+clay, standard deviation; Size fraction 〈 0.125 µm; Size fraction 〈 0.125 mm, standard deviation; Size fraction 〈 0.250 mm; Size fraction 〈 0.250 mm, standard deviation; St. Magarethen; Stoer; Strehla rechts; Tangermuende rechts; Tonne 107; Tonne 112; Tonne 53; Tonne 57; Tonne 91 gruen; Tonne 96 rot; Torgau rechts; Triebisch; Wahrenberg rechts; Wittenberg rechts; Zehren; Zollenspieker
    Type: Dataset
    Format: text/tab-separated-values, 730 data points
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  • 19
    Publication Date: 2023-03-25
    Description: Impact of Local Iron Enrichment on the Small Benthic Biota in the deep Arctic Ocean The study assesses the impact of local iron enrichment on the small benthic biota (bacteria, meiofauna) together with environmental parameters indicating the input of food at the deep seafloor. To evaluate the hypothesis that abundance, distribution, and diversity of the small benthic biota varies in relation to a local input of structural steel at the seabed, we analyzed sediment samples and the associated infauna along a short transect with increasing distance to an iron source, i.e., corroding steel weights of a free-falling observational platform (bottom-lander), lying on the seafloor for approximately seven years. Iron-enriched surface sediments in the vicinity of the bottom-weight left in summer 2008 after a short-term deployment of a bottom-lander in 2433 m water depth at the LTER (Long-Term Ecological Research) observation HAUSGARTEN in eastern parts of the Fram Strait were sampled on 28th July 2015 using push-corer (PC) handled by the Remotely Operated Vehicle (ROV) QUEST 4000 (MARUM Center for Marine Environmental Sciences, Germany) during Dive 369 from board RV Polarstern. The block-shaped steel bottom-weights (30 x 30 x 6 cm) were sitting about half of the height sunken into the seafloor and thus, almost not affecting near-bottom currents. During sampling in 2015, the plates were largely corroded. Surface sediments around the plates had an orange-red color with a gradient of decreasing color intensity with increasing distance from the source, i.e., the bottom weight. A total of eight push-corer samples (PC1-8) were taken at approx. regular distances (on average every 18 cm) along a short transect (about 1.5 m) crossing the iron gradient. Push-corers PC1-4 retrieved sediment from heavily impacted sediments, while samples taken from push-corers PC5-8 were visually indistinguishable from background sediments in the wider area. After recovery of the ROV, sediment cores (8 cm in diameter, and 20-25 cm in height) were sub-sampled using plastic syringes with cut-off anterior ends for meiofauna and nematode communities as well as for environmental parameters. The position specified in the data sets (longitude / latitude) refers to the position of the ROV.
    Keywords: Deep sea; Hausgarten; iron; Long-term Investigation at AWI-Hausgarten off Svalbard; meiofauna; Nematoda; sediments
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 20
    Publication Date: 2023-03-01
    Description: The data were collected for a joint detrital zircon and detrital rutile provenance study of the late Neogene aeolian Baode Red Clay, located on the northern part of the Chinese Loess Plateau. The data consist of detrital zircon U-Pb ages of the 4.04–2.64 Ma Baode Red Clay (four samples from the Pliocene Jingle Formation and one sample from the 2.64 Ma Transitional Unit), and detrital rutile trace element geochemistry of the 6.91–2.64 Ma Baode Red Clay (three samples from the Miocene Baode Formation, five samples from the Pliocene Jingle Formation, and one sample from the Transitional Unit) and 14 potential sedimentary source areas in Central-East Asia. The data were collected using Nu Plasma AttoM single collector ICP-MS (Nu Instruments Ltd., Wrexham, UK) connected to an Analyte Excite 193 ArF laser ablation system (Photon Machines, San Diego, USA) at the Geological Survey of Finland. The rutiles were analysed for Li, Mg, Al, Si, P, Ca, Sc, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Mo, Sn, Sb, Ba, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, W, Pb, Th, and U. The grain size fractions of the analysed grains were mostly 30–90 μm for the Red Clay zircons and rutiles, and 20–500 μm for the potential source area rutiles.
    Keywords: Chinese Loess Plateau; detrital rutile; detrital zircon; eolian sediment; Miocene; Pliocene; Provenance; Red Clay
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 21
    Publication Date: 2023-03-01
    Description: The data consist of detrital zircon U-Pb ages of the 4.04–2.64 Ma Baode Red Clay (four samples from the Pliocene Jingle Formation and one sample from the 2.64 Ma Transitional Unit). The data were collected using Nu Plasma AttoM single collector ICP-MS (Nu Instruments Ltd., Wrexham, UK) connected to an Analyte Excite 193 ArF laser ablation system (Photon Machines, San Diego, USA) at the Geological Survey of Finland.
    Keywords: Age; Age, 206Pb/238U Lead-Uranium; Age, 207Pb/206Pb Lead-Lead; Age, 207Pb/235U Lead-Uranium; Age, error; Age, mineral; Baode; Chinese Loess Plateau; Comment; Correlation coefficient, isotope ratio error; Degree of concordance; detrital rutile; detrital zircon; eolian sediment; Fluence; Grain ID; Grain size, maximum; Grain size, minimum; Identification; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; LATITUDE; Lead; Lead-206; Lead-206/Lead-204 ratio; Lead-206/Uranium-238, error, relative; Lead-206/Uranium-238, standard deviation; Lead-206/Uranium-238 ratio; Lead-207/Lead-206 ratio; Lead-207/Lead-206 ratio, error, relative; Lead-207/Lead-206 ratio, standard deviation; Lead-207/Uranium-235, error, relative; Lead-207/Uranium-235, standard deviation; Lead-207/Uranium-235 ratio; Lithologic unit/sequence; LONGITUDE; Miocene; Pliocene; Preferred age; Provenance; Red Clay; Repetition rate; Sample ID; Sediment sample; SES; Spot size; Thorium; Uranium
    Type: Dataset
    Format: text/tab-separated-values, 53231 data points
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  • 22
    Publication Date: 2023-03-16
    Description: Weddell seals (Leptonychotes weddellii) were immobilised during expedition NEU2022 (ANT-Land 2022/2023) for the purpose of deployments with infrared (IR) camera loggers (CAM). The IR-CAM deployments (n=17) were located in the Atka-Bay in the vicinity to the Neumayer Station III (DE), eastern Weddell Sea. The seals were searcher by Skidoo and captured along tidal within the bay and immobilised and instrumented on fast (bay) ice with infrared video camera loggers (IR-CAMs, Little Leonardo, JP) to investigate their foraging behaviour in the context of sea ice features inside the bay.
    Keywords: Additives; ANT-Land_2022/2023; Atipamezol; Comment; DATE/TIME; Diazepam; Estimated; Event label; Girth, standard; immobilisation; Injection; Ketamine; LATITUDE; Length, standard; Leptonychotes weddellii; LONGITUDE; Marine endotherm; Mass; MET; NEU2022; NEU2022_wed_a_f_03; NEU2022_wed_a_f_05; NEU2022_wed_a_f_07; NEU2022_wed_a_m_01; NEU2022_wed_a_m_02; NEU2022_wed_a_m_04; NEU2022_wed_a_m_06; NEUMAYER III; Physical restraint; Premedication; Ruler tape; Sample code/label; SEAEIS; Seals and cryobenthic communities at the Ekström Ice Shelf; Southern Ocean; Species code; Time of day; Weddell seal; Xylazine
    Type: Dataset
    Format: text/tab-separated-values, 247 data points
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1212192 data points
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1208880 data points
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1208880 data points
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1212192 data points
    Location Call Number Expected Availability
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  • 27
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1208875 data points
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2023-04-04
    Description: Continuous measurements of carbon, water and energy fluxes are performed using the eddy covariance (EC) method in a mixed-beech forest ecosystem in central Germany (52° 5'12N, 11°13'20E, 193 m asl), accompanied by relevant abiotic measurements. The site was established in the Bode catchment as part of the TERENO Harz/Central German Lowland Observatory, a mesoscale water catchment within the Elbe river basin covering an area of approximately 3300 km². The forest area Hohes Holz is the only larger forested area in the otherwise agriculturally intensively-farmed western part of the Magdeburger Börde with an area of about 1500 ha [Wollschläger et al., 2017]. The forest is a protected area with the centre (150 ha) being a nature reserve (Natura 2000) and is dominated by common beech (Fagus sylvatica L.), sessile oak (Quercus petraea) and hornbeam (Carpinus betulus L.) of about 90 years in age, an average tree height of 23.5 m and a stand density of 260 trees/ha. The long term average of annual precipitation is 563 mm and mean annual temperature is 9.1 °C (1981 – 2010 DWD station Ummendorf, #5158). The eddy covariance system consists of a CSAT-3 anemometer (Campbell Scientific Inc., Logan, UT, USA) and a LI-7500 gas analyser (Li-Cor Inc., Lincoln, NE, USA), established in 2014 in 49 m on a scaffolding tower within the research area. Data presented here comprise energy, water (H and LE), and carbon fluxes (NEE) from the EC-system since 2015 as well as gross primary productivity (GPP) and ecosystem respiration (Reco) derived from partitioning of NEE-data. Complimentary data from the turbulence data set and prioritized driver variables as a basis for ecosystem process analysis are added. High-frequency data (20Hz) were acquired with a Campbell data logger and the Eddymeas data acquisition software [Kolle and Rebmann, 2007]. Flux computation from high frequency raw data was performed with the Eddy-Pro® software (v. 7.0.6). After removing physically unrealistic flux values from the time series, subsequent post-processing steps such as estimating the u*-threshold, gap-filling and flux partitioning were performed according to Wutzler et al. [2018] with the REddyProc package. Full details of site instrumentation, metadata information and R-packages used for processing can be found in the supplementary material. Since January 2019 the site is approved as an ICOS ecosystem class 1 station (DE-HoH). ICOS standard procedures required an additional EC-setup consisting of a Gill HS-50 ultrasonic anemometer (Gill Instruments Ltd., Lymington, Hampshire, UK) and a LI-7200 gas analyser which runs in parallel to the above described system (see ICOS carbon portal: https://www.icos-cp.eu/data-products/ecosystem-release).
    Keywords: Barometer, Setra, 278; Carbon dioxide, density; Carbon dioxide, flux; Carbon dioxide, flux, stationarity deviation; Carbon dioxide, flux, storage; Carbon dioxide, mole fraction; Carbon dioxide, mole fraction, variance; Carbon dioxide flux, random error; Carbon dioxide mixing ratio; DATE/TIME; Day of the year; Daytime Indicator; Density, water vapour; Distance, relative, X, offset; Distance, relative, X, peak; Distance, relative, X, percentage contribution; ECS; ECS_HohesHolz; ECS_Hohes Holz_Eggenstedt (Germany); Eddy covariance; Eddy covariance footprint, model type; Eddy Covariance Station; evapotranspiration; File name; Friction velocity; GPP; Heat, flux, latent; Heat, flux, latent, random error; Heat, flux, sensible; Heat, flux, sensible, random error; ICOS; Integrated Carbon Observation System; managed deciduous forest; Modeling Monitoring Events; MOMENT; Momentum, flux; Momentum, flux, random error; NEE; Net ecosystem exchange of carbon dioxide; Number of flagged records, chopper_LI-7500; Number of flagged records, detector_LI-7500; Number of flagged records, pll_LI-7500; Number of flagged records, sync_LI-7500; Number of records, total; Number of records, used; Obukhov stability parameter; Open Path CO2/H2O Gas Analyzer (LI-7500RS, LI-COR); Pressure, atmospheric; Quality flag, carbon dioxide, flux; Quality flag, carbon dioxide flux; Quality flag, heat, flux, latent; Quality flag, heat, flux, sensible; Quality flag, momentum flux; Quality flag, water vapour flux; Quality flag, wind speed; Reco; Signal strength; Sonic anemometer, CSAT3, Campbell Scientific; Sonic anemometer CSAT3 and CO2/H2O Gas Analyzer (LI-7500RS); Sonic temperature; Sonic temperature, variance; Spikes, carbon dioxide; Spikes, sonic temperature; Spikes, water vapour; Spikes, wind velocity, lateral; Spikes, wind velocity, longitudinal; Spikes, wind velocity, vertical; Temperature, air; TERENO; Terrestrial Environmental Observatories; Thermometer/Hygrometer, Vaisala, HMP155; Water vapour, density; Water vapour, flux; Water vapour, mole fraction; Water vapour, mole fraction, variance; Water vapour flux, random error; Water vapour mixing ratio; Wind direction; Wind speed; Wind velocity, lateral; Wind velocity, lateral, variance; Wind velocity, longitudinal; Wind velocity, longitudinal, variance; Wind velocity, vertical; Wind velocity, vertical, variance
    Type: Dataset
    Format: text/tab-separated-values, 1208880 data points
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  • 29
    Publication Date: 2023-04-18
    Description: Herein, we present paleomagnetic, GR and Rb/Sr data over the past 3.5 Ma from the ZK01 core in the southern Junggar Basin, Northwestern China. We took 300 oriented samples along the core (ca. 1 sample every 1.5 m) for magnetostratigraphic dating. The corresponding boundaries of the Brunhes/Matuyama and Matuyama/Gauss transitions are at about 59 m and 315 m interval in the ZK01 borehole, respectively. To complete the lithological description of this core, we selected 17 samples between levels 100 and 425 m for grain size analysis. Our grain size shows an eolian deposit. Gamma ray (GR; ~5 cm sampling resolution) well log data and Rb/Sr ratios in the ZK01 core were used to carry out astronomical tuning. Our results show that GR data are dominated by 405 kyr cycles before ~2.8 Ma; ~100 kyr short eccentricity and obliquity cycles are significantly enhanced between 2.8 Ma and 1.4 Ma; the obliquity signal finally strengthens between 1.4 and ~0.55 Ma. By contrast, our Rb/Sr data show monotonic, dominant 405-kyr cycles with weak 100-kyr eccentricity, obliquity (41 kyr) and precession (20 kyr) cycles in the past 3.5 Ma. To complete the lithological description of the core, we selected 17 samples between levels 100 and 425 m for grain size analysis. We selected 2 samples for scanning electron microscope (SEM) analysis of quartz particles at 317 m and 415 m, in order to investigate potential marks for aeolian transport of the sediment. We took 300 oriented samples along the core (ca. 1 sample every 1.5 m) for magnetostratigraphic dating. A total of 1201 power samples were measured with an Innov-X Systems X-ray fluorescence spectrometer in geochemistry mode using beam 1 (50 kv) and beam 2 (10 kv) to acquire the abundance of rubidium (Rb) and strontium (Sr) at the Chinese University of Geosciences (Wuhan). The continuous GR data were measured using FD-3019 γ logging tool based on EJ/T 611-2005 gamma logging specification through pipes.
    Keywords: Core; CORE; Junggar_Basin_ZK01; Northwestern China
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 30
    Publication Date: 2023-04-18
    Description: We carry out our work on a total of 202 sediment samples spanning the past ~400 kyr from IODP Site 363-U1483 (13.09°S, 121.80°E; water depth: 1733 m), which is located close to the southern margin of the ITCZ's latitudinal displacement in the outflow area of the Indonesian Throughflow. In this study, we present Mg/Ca ratios and stable oxygen isotope from tests of planktonic foraminiferal Globigerinoides ruber, respectively.
    Keywords: 363-U1483; AGE; COMPCORE; Composite Core; Exp363; Globigerinoides ruber; Globigerinoides ruber, Magnesium/Calcium ratio; Globigerinoides ruber, δ18O; Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Site 363-U1483; Joides Resolution; Mass spectrometer, Finnigan, MAT 253; Mg/Ca ratios; North west Australian continental margin; stable oxygen isotope
    Type: Dataset
    Format: text/tab-separated-values, 414 data points
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  • 31
    Publication Date: 2023-04-18
    Keywords: Core; CORE; DEPTH, sediment/rock; Gamma spectrometer; GSPEC; Junggar_Basin_ZK01; Natural gamma ray; Northwestern China
    Type: Dataset
    Format: text/tab-separated-values, 8408 data points
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  • 32
    Publication Date: 2023-04-18
    Keywords: Core; CORE; DEPTH, sediment/rock; Inclination; Junggar_Basin_ZK01; MAG; Magnetometer; Maximum angular deviation; Northwestern China
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 33
    Publication Date: 2023-03-31
    Keywords: Device type; Direction; Event label; Geiseltalsee-0811_THERM; Geiseltalsee-1034_THERM; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Temperature, water; water temperature
    Type: Dataset
    Format: text/tab-separated-values, 535 data points
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  • 34
    Publication Date: 2023-03-31
    Keywords: Device type; Direction; Event label; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Suessersee-1211_THERM; Suessersee-1415_THERM; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 685 data points
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  • 35
    Publication Date: 2023-03-31
    Keywords: Area/locality; Arendsee-S0856_PHYTO; Arendsee-S0857_PHYTO; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
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  • 36
    Publication Date: 2023-03-31
    Keywords: Date/time end; Date/time start; Dew/frost point; Event label; Germany; Humidity, relative; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Multiparameter sensor, Ahlborn, ALMEMO D6; Pressure, atmospheric; Principal investigator; Suessersee-0902_MPS; Suessersee-1001_MPS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 17 data points
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  • 37
    Publication Date: 2023-03-31
    Keywords: Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Geiseltalsee-S0858_PHYTO; Geiseltalsee-S0859_PHYTO; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 588 data points
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  • 38
    Publication Date: 2023-03-31
    Keywords: Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-S0862_PHYTO; Kelbra-S0863_PHYTO; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Taxon/taxa; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 276 data points
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  • 39
    Publication Date: 2023-03-31
    Keywords: Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Rappbode-S0860_PHYTO; Rappbode-S0861_PHYTO; Taxon/taxa; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 756 data points
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  • 40
    Publication Date: 2023-03-31
    Keywords: Area/locality; Biovolume; Cell; Class; Comment; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Depth comment; Event label; Germany, Saxony-Anhalt; Identification; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; PHYTONET; Phytoplankton net; Principal investigator; Quantitative phytoplankton method (Utermöhl, 1958); Suessersee-S0864_PHYTO; Suessersee-S0865_PHYTO; Suessersee-S0866_PHYTO; Suessersee-S0867_PHYTO; Suessersee-S0868_PHYTO; Suessersee-S0869_PHYTO; Suessersee-S0870_PHYTO; Suessersee-S0871_PHYTO; Suessersee-S0873_PHYTO; Suessersee-S0884_PHYTO; Suessersee-S0885_PHYTO; Taxon/taxa; Time Stamp
    Type: Dataset
    Format: text/tab-separated-values, 3339 data points
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  • 41
    Publication Date: 2023-03-31
    Keywords: Chlorophyll a; Conductivity; CTD profiles; DATE/TIME; Event label; Geiseltalsee-0800_SS_MPS1; Geiseltalsee-0830_SS_MPS1; Geiseltalsee-0845_SS_MPS1; Geiseltalsee-0900_SS_MPS1; Geiseltalsee-0901_SS_MPS1; Geiseltalsee-0958_SS_MPS1; Geiseltalsee-1000_SS_MPS1; Geiseltalsee-1019_SS_MPS1; Geiseltalsee-1031_SS_MPS1; Geiseltalsee-1059_SS_MPS1; Geiseltalsee-1100_SS_MPS1; Geiseltalsee-1143_SS_MPS1; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Multi parameter probe (CTD), Sea & Sun Technology GmbH, CTD90M; Oxygen, dissolved; Oxygen saturation; pH; Phycocyanin; Phycoerythrin; Pressure, water; Principal investigator; Salinity; Sound velocity in water; Temperature, water; Turbidity (Formazin Turbidity Unit)
    Type: Dataset
    Format: text/tab-separated-values, 210676 data points
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  • 42
    Publication Date: 2023-03-31
    Keywords: Device type; Direction; Event label; Germany; Height; Infrared radiation pyrometer, Heitronics, KT19.85II; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Suessersee-0823_THERM; Suessersee-0903_THERM; Suessersee-0952_THERM; Suessersee-1115_THERM; Suessersee-1145_THERM; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1220 data points
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  • 43
    Publication Date: 2023-03-31
    Keywords: Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Arendsee-1_WS_28; Arendsee-1_WS_30; AS-1_WS_28; AS-1_WS_30; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 165 data points
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  • 44
    Publication Date: 2023-03-31
    Keywords: Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Geiseltalsee-1_WS_28; Geiseltalsee-1_WS_30; Germany; GTS-1_WS_28; GTS-1_WS_30; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 45
    Publication Date: 2023-03-31
    Keywords: Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Kelbra-1_WS_28; Kelbra-1_WS_30; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; TSK-1_WS_28; TSK-1_WS_30; Violaxanthin; Water sample; WS; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 152 data points
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  • 46
    Publication Date: 2023-03-31
    Keywords: Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Rappbode_WS_28; Rappbode_WS_30; Sample comment; Sample ID; Silicon; Sodium; Sulfate; Suspended matter, total; Violaxanthin; Water sample; WS; YR1_WS_28; YR1_WS_30; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 151 data points
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  • 47
    Publication Date: 2023-03-31
    Keywords: Acid/Base capacity analysis (DIN 38409 -H7); Acid/Base DIN 38409 -H7; Acid capacity 4.3; Acid capacity 8.2; Alloxanthin; Ammonium-nitrogen; Base capacity 4.3; Base capacity 8.2; beta-Carotene; Calcium; Carbon, inorganic, dissolved; Carbon, inorganic, total; Carbon, organic, dissolved; Carbon, organic, total; Carbon analyzer; CFA; Chl (DIN 38412 L16); Chloride; Chlorophyll a; Chlorophyll b; Chlorophyll determination (DIN 38412 L16); Continuous Flow Analysis; Date/Time of event; Diadinoxanthin; Diatoxanthin; DIMA-IC; Echinenone; Event label; Filtered (QF20); Filtration basic analysis - quartz fiber round filter (QF20); Fucoxanthin; Germany; HPLCO; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Inland Water Remote Sensing Validation Campaign 2017; Iron; IWRSVC-2017; Liquid ion chromatography (DIN EN ISO 10304-1); Location; Lutein; Magnesium; Manganese; Nitrate-nitrogen; Nitrite-nitrogen; Nitrogen, total; Optional event label; Peridinin; Pheophytin a; Pheophytin b; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total dissolved; Photometric; Photometry; Pigments analysis by HPLC (UV and FLD); Potassium; Principal investigator; Sample comment; Sample ID; Silicon; Sodium; Suessersee-TP_WS_28; Suessersee-TP_WS_29; Suessersee-TP_WS_30; Sulfate; Suspended matter, total; SÜS-TP_WS_28; SÜS-TP_WS_29; SÜS-TP_WS_30; Violaxanthin; Water sample; WS; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 742 data points
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  • 48
    Publication Date: 2023-02-21
    Keywords: DEPTH, sediment/rock; Foraminifera; Foraminifera, planktic, shell Feret diameter; Foraminifera, planktic, δ44/40Ca; Foraminifera, right coiling direction; Foraminiferal Abnormality Index; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; Rotalipora cushmani, δ13C; Rotalipora cushmani, δ18O; Sample ID; Species
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 49
    Publication Date: 2023-02-21
    Keywords: DEPTH, sediment/rock; Foraminifera; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; Sample ID; δ13C, bulk carbonate; δ18O, bulk carbonate; δ44/40 Ca, bulk carbonate
    Type: Dataset
    Format: text/tab-separated-values, 178 data points
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  • 50
    Publication Date: 2023-02-21
    Keywords: Age, relative; Foraminifera; Foraminifera, planktic, δ44/40Ca; GUB; Gubbio; Italy; Ocean acidification; paleoclimatology; Paleooceanography; δ44/40 Ca, bulk carbonate
    Type: Dataset
    Format: text/tab-separated-values, 69 data points
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  • 51
    Publication Date: 2023-02-21
    Keywords: Aristocrat_Angus_core_1; CDRILL; Colorado, United States of America; Core drilling; DEPTH, sediment/rock; Foraminifera; Ocean acidification; paleoclimatology; Paleooceanography; Precision, internal; δ13C, bulk carbonate; δ44/40 Ca, bulk carbonate
    Type: Dataset
    Format: text/tab-separated-values, 125 data points
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  • 52
    Publication Date: 2023-04-18
    Keywords: Core; CORE; DEPTH, sediment/rock; Junggar_Basin_ZK01; Northwestern China; Rubidium; Rubidium, standard deviation; Rubidium/Strontium ratio; Strontium; Strontium, standard deviation; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 6005 data points
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  • 53
    Publication Date: 2023-05-09
    Description: Zooplankton sampled approximately at monthly intervals between April 1988 and December 2016 at Station E2CO (A Coruña, NW Spain) with double-oblique tows of a 50-cm diameter Juday-Bogorov plankton net with 250 μm (until 1997) or 200 μm (from 1997 onwards) mesh size. The net was equipped with a General Oceanic Flowmeter for the calculation of water filtered and a depth recorder. All samples were collected between 10:00 and 14:00 o'clock (local time) and were preserved in 2−4% sodium borate-buffered formaldehyde. Sub-samples were taken to estimate total zooplankton abundances (in ind × m−3) by direct examination using a stereo microscope, and biomass (in μg DW × L−1) by weighting dried aliquots (50 ºC, 48 h). Species names referenced to the Word Register of Marine Species (last access: June 2019). Zooplankton identification and counts were made by M.T. Álvarez-Ossorio (until 2015), E. Rey and M.A. Louro (2016). These series are part of the long-term observational project RADIALES (Instituto Español de Oceanografía, IEO, Spain).
    Keywords: Abundance; Biomass; Bottle, Niskin; Coastal; DATE/TIME; Depth, bottom/max; Depth, top/min; E2CO; Galicia Margin; Mesh size; NE Atlantic; NIS; NW Spain; Phytoplankton; RADIALES; seRies temporAles De oceanografIA en eL norte de ESpaña; Upwelling; Zooplankton; Zooplankton, biomass, dry mass
    Type: Dataset
    Format: text/tab-separated-values, 1656 data points
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  • 54
    Publication Date: 2023-05-09
    Description: The data set contains meteorological measurements from an automatic weather station installed on rock next to the glacier front (92 m a.s.l.) of Schiaparelli Glacier, Cordillera Darwin, Chile. The station has been installed by the Humboldt University Berlin in September 2015. It measures 2m air temperature (T), relative humidity (RH), solar radiation (SWin), wind speed (WS), wind direction (Dir) and precipitation (RRR) in an hourly interval (averaged, precipitation is accumulated). The data provided here has been corrected for outliers, radiative heating of the temperature sensor and sensor freezing.
    Keywords: Automated weather station (AWS); AWSrock_Schiaparelli; Campbell Scientific CS215 Temperature & Relative Humidity Sensor; DATE/TIME; Humidity, relative; Precipitation; Pyranometer, Campbell Scientific, CS300-L; Short-wave downward (GLOBAL) radiation; Temperature, air; Tipping bucket rain gauge, R. M. Young, 52203; Wind direction; Wind monitor, R.M. Young, model 05103; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 236727 data points
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  • 55
    Publication Date: 2023-05-10
    Description: Ingrowth cores were used according to Bhuiyan et al. (2017), and incubated for two years from November 2015 to November 2017. Roots were manually separated and identified to species group level with FTIR according to Straková et al. (2020). Drying temperature for roots was 40 °C.
    Keywords: Coniferophyta; Coniferophyta, root biomass production; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; Forbs; Forbs, root biomass production; Graminoids; Graminoids, root biomass production; LATITUDE; LONGITUDE; peatland drainage; Peatland Ecology; peatlands; Plot; Replicates; root biomass; Root biomass production, fine roots; rooting depth; root production; Shrubs and Birch; Shrubs and Birch, root biomass production; Site; soil temperature; Subplot; vegetation; Water table depth
    Type: Dataset
    Format: text/tab-separated-values, 8194 data points
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  • 56
    Publication Date: 2023-05-10
    Description: Measurements between November 2015 - November 2017.
    Keywords: Odyssey Capacitance Water Level Logger; peatland drainage; Peatland Ecology; peatlands; Percentile 10; Percentile 25; Percentile 50; Percentile 75; Percentile 90; Plot; root biomass; rooting depth; root production; Site; soil temperature; vegetation; Water table depth; Water table level, maximum; Water table level, mean; Water table level, minimum; Water table level, range; Water table level, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 384 data points
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  • 57
    Publication Date: 2023-05-04
    Keywords: Area; Area/locality; Black Forest; Comment; DEPTH, water; Depth layer, volume; Event label; Herrenwieser_See; Huzenbacher_See; Mummelsee; Schurmsee; Volume
    Type: Dataset
    Format: text/tab-separated-values, 292 data points
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  • 58
    Publication Date: 2023-05-04
    Description: Measurements of stable water isotopes (δ Deuterium, δ18O, δ13C) from the water column in the Fram Strait from the POLARSTERN cruises PS92 (ARK-XXIX/1, TRANSSIZ) and PS93.1 (ARK-XXIX/2.1) in May to July 2015. δ Deuterium and δ18O were measured with a Picarro 2130i CRDS System, δ13C with a Finnigan MAT 252 gas isotope ratio mass spectrometer with Gasbench 2 at MARUM - Center for Marine Environmental Sciences. The measurements were conducted in 2020/2021.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; ARK-XXIX/2.1; Comment; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Expendable CTD; Fram Strait; Giant box corer; GKG; ICE; Ice station; Isotope analyzer L2130-i, Picarro Inc.; Latitude of event; Longitude of event; Mass spectrometer Finnigan MAT 252; MUC; MultiCorer; Multicorer with television; North Greenland Sea; Polarstern; PS92; PS92/010-1; PS92/019-15; PS92/019-18; PS92/019-5; PS92/019-6; PS92/020-1; PS92/027-13; PS92/027-14; PS92/027-2; PS92/027-3; PS92/027-6; PS92/028-1; PS92/031-12; PS92/031-14; PS92/032-14; PS92/032-15; PS92/032-5; PS92/039-10; PS92/039-5; PS92/039-8; PS92/040-1; PS92/040-2; PS92/043-1; PS92/043-20; PS92/043-5; PS92/046-14; PS92/046-15; PS92/046-2; PS92/047-19; PS92/047-20; PS92/047-4; PS92/056-3; PS92/056-5; PS93/011-1; PS93/011-4; PS93/016-1; PS93/016-5; PS93/017-1; PS93/017-5; PS93/018-4; PS93/020-2; PS93/020-5; PS93/023-4; PS93/024-1; PS93/024-6; PS93/030-1; PS93/030-4; PS93/031-2; PS93/031-3; PS93/039-1; PS93/039-7; PS93/041-2; PS93/046-1; PS93/046-4; PS93.1; Sample comment; stable carbon isotope; stable oxygen isotope; stable water isotopes; TVMUC; Underwater video profiler; UVP; WP2; WP-2 towed closing plankton net; XCTD; δ13C; δ13C, uncertainty; δ18O, water; δ18O, water, uncertainty; δ Deuterium, water; δ Deuterium, water, uncertainty
    Type: Dataset
    Format: text/tab-separated-values, 2224 data points
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  • 59
    Publication Date: 2023-06-16
    Description: We provide here supplementary data of Levy et al. (2023). To investigate influencing factors of Planktic Foraminifera (PF) Mg uptake in hypersaline regions, we measured the Mg/Ca of two flux dominating PF species, Globigerinoides ruber albus and Turborotalita clarkei with its two phenotypes 'big' and 'encrusted', derived from a monthly resolved time series of sediment traps in the Gulf of Aqaba (GOA), northern Red Sea. Presented are a summary of average (mean) individual planktic Foraminifera specimen Mg/Ca as a function of depth and time. Sediment traps were deployed at depths of 120 m, 220 m, 350 m, 450 m and 570 m and a core top sample. The data provided is at a near-monthly resolution between June 2014 and June 2015. Mg/Ca was measured using single chamber Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) to account for the differences between succeeding chambers. The 'min' Mg/Ca and 'max' Mg/Ca represent distance from mean to extremities (i.e., range) for LA-ICP-MS measurements.
    Keywords: DATE/TIME; DEPTH, water; Event label; GoA_2013_MultiCorer; GoA_2014_SedTrap; Gulf of Aqaba; LA-ICP-MS; Laser ablation, Inductively coupled plasma mass spectrometry; Magnesium/Calcium ratio; Magnesium/Calcium ratio, maximum; Magnesium/Calcium ratio, minimum; Mg/Ca; MUC; MultiCorer; Sample method; Sampling date; Sea surface temperature; Sediment trap; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI)
    Type: Dataset
    Format: text/tab-separated-values, 1092 data points
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  • 60
    Publication Date: 2023-06-19
    Description: Daily streamflow runoff observations of the Rofenache at gauge Vent.
    Keywords: daily; DATE/TIME; Gauge station; gauge Vent; GS; River discharge, daily mean; Rofenache; Rofental; Rofental, Ötztaler Alpen, Austria; streamflow
    Type: Dataset
    Format: text/tab-separated-values, 18263 data points
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  • 61
    Publication Date: 2023-06-08
    Description: The data set contains measurements of surface ablation recorded by an automatic ablation sensor at the frontal part of Schiaparelli Glacier, Cordillera Darwin, Chile. The sensor was installed by the Universidade Federal do Rio Grande, Brazil, in September 2016 and uninstalled in November 2017. The sensor records the time passed for every 15 cm of surface lowering. Unrealistic records have been excluded. The data set gives the name, latitude (latitude), longitude (longitude), start of the period (Date1), end of the period (Date2) and total ablation during that period (ablation).
    Keywords: Ablation, water equivalent; Ablation sensor; DATE/TIME; LATITUDE; LONGITUDE; Name; Schiaparelli_AblationSensor
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 62
    Publication Date: 2023-06-03
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: Austria; DATE/TIME; Event label; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; LATITUDE; LONGITUDE; Number; Sampling/measurements on glacier; Taschachferner_E; Tirol, Austria; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; Years
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 63
    Publication Date: 2023-06-03
    Description: Glacier surface velocities are measured on four neighbouring glaciers in the Ötztal Alps (Austria). Measurements of the annual horizontal flow velocity (Δs/a [m/a]) on Hintereisferner (HEF) were started in 1885 at stone lines (cross-profiles). Annual values for the stone lines are given as mean values from the stones at the cross-profiles. On Kesselwandferner, the annual horizontal (Δs/a [m/a]) and vertical velocities (Δv/a [m/a], positive upwards and negative downwards) are measured at ablation and accumulation stakes since 1965. On Taschachferner (TSF) and Gepatschferner (GPF), the records of annual and subseasonal horizontal flow velocities at ablation stakes were started in 2009. This data series is a continuation of: doi:10.1594/PANGAEA.896741
    Keywords: DATE/TIME; Gepatschferner; GLAC; Glacial flow velocity, horizontal, annual; Sampling/measurements on glacier; Tirol, Austria
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 64
    Publication Date: 2023-05-19
    Description: Dataset of radiocarbon dates obtained on peat and lacustrine/palsutrine sediment from several wetlands of North Cantal (Massif Central, France). All these data were acquired during the collective research project (PCR) on the archaeology of the Sianne and Sumène Valleys during the Bronze Age and the 1st Iron Age (Haute-Auvergne) coordinated by F. Delrieu (DRAC ARA, Service Régional de l'Archéologie, F-63000 Clermont-Ferrand).
    Keywords: Age, 14C AMS; Age, 14C calibrated, IntCal20 (Reimer et al. 2020); Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; BG; calculated, 1 sigma; Calendar age, maximum/old; Calendar age, minimum/young; Chastel-Marlhac; Chastel-Marlhac, Le Montel, France; Commune; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Etang_de_Majonenc; Etang de Majonenc , Riom-es-Montagnes, France; Event label; Laboratory code/label; Lac_Long; Lac Long / Lac Lant, Espalem, France; Lacustrine-palustrine sediment; Latitude of event; LBS; Le_Vern; Les_Brougues; Les Brougues, Saint-Etienne-de-Chomeil, France; Le Vern, Moledes, France; LL; LMC; Longitude of event; MAJ; Massif Central; MER; Merigot; Merigot, Saint-Etienne-de-Chomeil, France; MUR; Muratet; Muratet, Saint-Etienne-de-Chomeil, France; PD; peat; Peat drill; radiocarbon dating; Sagne_Gousseau; Sagne Gousseau, Allanche, France; Sample code/label; Sample comment; Sample thickness; SG; Sianne; Site; Sources de la Sianne, Anzat-le-Luguet, France; Tronque; Tronque, Trizac, France; TTT; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 336 data points
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  • 65
    Publication Date: 2023-05-18
    Description: CTD data collected in coastal regions are often dynamically changing which is a major impediment to derive any process related information from those data. Only longer time series and comparison with nearby coastal stations can help to detect events or trends in data. In this case the data were collected with the idea to what extent mobile platforms can assist in this process, i.e. how data that are collected from vehicles sent out from the buoy station to locations nearby can contribute to a more comprehensive picture of on-going processes. The calm weather conditions that lasted for several days during the time the data had been collected allowed for a detection of a warm current, possibly an eddy, passing the OBSEA station in a distance of a few kilometers. A series of CTD profiles had been recorded during a filed test campaign at EMSO-ERIC observatory OBSEA (https://emso.eu/observatories-node/obsea/). The maximum water depth was at 30 m. Date: February 16, 2023, Time: Between 11:30 and 13.30 CET, Instrument RBR XR-420 deployed from board a RIB boat at 5 different position with two repeated profiles each
    Keywords: Coastal; Conductivity; CTD, RBR, XR-420; CTD profiles; DATE/TIME; EMSO ERIC Physical Access, TRIPLE-VTESTS; Event label; Mediterranean; OBSEA_EMSO_TNA_1143; OBSEA_EMSO_TNA_1151; OBSEA_EMSO_TNA_1227; OBSEA_EMSO_TNA_1232; OBSEA_EMSO_TNA_1239; OBSEA_EMSO_TNA_1243; OBSEA_EMSO_TNA_1307; OBSEA_EMSO_TNA_1311; OBSEA_EMSO_TNA_1320; OBSEA_EMSO_TNA_1326; Pressure, water; Salinity; Sound velocity in water; Temperature, water; TRIPLE-VTESTS; XR420
    Type: Dataset
    Format: text/tab-separated-values, 14210 data points
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  • 66
    Publication Date: 2023-05-24
    Description: Hair samples were collected throughout the United States, with particular focus on major metropolitan areas of the western United States. Hair samples were collected in 2004 as well as between 2013-2015. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O values, 87Sr/86Sr, and elemental compositions of 560, 385 and 306 hair samples were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess geospatial variations in isotope and elemental geochemistry of human hair. We found that the isotope and elemental geochemistry of human hair largely corresponded to the geochemistry of drinking and bathing water, which in turn varied by water source and management practice. These data provide a foundation to reconstruct human movements using the geochemistry of modern or ancient human hair.
    Keywords: anthropogenic tracers; provenance analysis; stable isotope analysis; strontium isotopes; trace element; water chemistry; water isotopes; water management
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 67
    Publication Date: 2023-05-24
    Keywords: anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_1280; California_1287; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_798; California_808; California_839; California_840; California_853; California_855; California_858; California_862; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1353; One-time_collection_1354; One-time_collection_1355; One-time_collection_1356; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1384; One-time_collection_1386; One-time_collection_1388; One-time_collection_1389; One-time_collection_1390; One-time_collection_1392; One-time_collection_1393; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1398; One-time_collection_1400; One-time_collection_1401; One-time_collection_1402; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; One-time_collection_1421; One-time_collection_1422; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_341; Salt_Lake_Valley_342; Salt_Lake_Valley_382; Salt_Lake_Valley_396; Salt_Lake_Valley_413; Salt_Lake_Valley_420; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_448; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; strontium isotopes; TC/EA-IRMS; trace element; United States; water chemistry; water isotopes; water management; Year of observation; δ18O; δ18O, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3134 data points
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  • 68
    Publication Date: 2023-05-24
    Keywords: Aluminium; anthropogenic tracers; Antimony; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; Cerium; Chromium; Cobalt; Copper; DATE/TIME; Europium; Event label; HHS; Human hair sample; ICP-MS; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location ID; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; Potassium; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; Selenium; Sodium; stable isotope analysis; Strontium; strontium isotopes; Thorium; trace element; United States; Uranium; Vanadium; water chemistry; water isotopes; water management; Year of observation; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 5779 data points
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  • 69
    Publication Date: 2023-05-24
    Keywords: anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; MC-ICP-MS; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1354; One-time_collection_1355; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1386; One-time_collection_1389; One-time_collection_1390; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1401; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; strontium isotopes; trace element; United States; water chemistry; water isotopes; water management; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 1655 data points
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  • 70
    Publication Date: 2023-06-27
    Description: Sortable silt data was obtained from core MD03-2679 located in the North Atlantic. The sediment was analysed with a laser diffractometer at GEOsciences Paris-Sud (GEOPS), in order to provide informations on past changes in intensity of the Iceland-Scotland Overflow Water (ISOW) over the Marine Isotopic Stages 7 and 9. The original sortable silt data (percent and mean) were used for comparison with the new method of correcting for ice-rafted debris (IRD) influence on sortable silt described in Stevenard et al. (submitted).
    Keywords: CALYPSO; Calypso Corer; DEPTH, sediment/rock; Gardar Drift; Grain size, Mastersizer 2000, Malvern Instrument Inc.; IMAGES XI - P.I.C.A.S.S.O.; Marion Dufresne (1995); MD032679; MD03-2679; MD132; Size fraction 0.063-0.010 mm, sortable silt; sortable silt; Sortable-silt mean; Zr/Rb
    Type: Dataset
    Format: text/tab-separated-values, 530 data points
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  • 71
    Publication Date: 2023-06-27
    Description: This data set includes the concentration of surface water volatile organic compounds and carbon monoxide, biomass concentrations and temperature from the ferry box system of RV POLARSTERN on the cruise track from Bremerhaven to the ice covered region north of Svalbard during RV POLARSTERN cruise PS92. Temperature and salinity were used to classify the sampled water masses based on the criteria applied in Tran et al., 2013.
    Keywords: Acetaldehyde; Acetone; Acetonitrile; Arctic; ARK-XXIX/1, TRANSSIZ; AWI_BioOce; Biological Oceanography @ AWI; Biomass; Carbon monoxide; Chlorophyll a; Code; DATE/TIME; Dimethyl sulfide; FBOX; FerryBox; GASC; Gas chromatograph; Isoprene; LATITUDE; LONGITUDE; Methanethiol; Polarstern; Proton Transfer Mass Spectrometer; PS92; PS92_0_Underway-1; PTRMS; Temperate waters; Temperature, water; trace gases; transect
    Type: Dataset
    Format: text/tab-separated-values, 29918 data points
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  • 72
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-06-27
    Description: We operate a 7-wavelength aethalometer (Model AE33, Magee Scientific) which is in operation since 23 January 2019 ongoing. The Aethalometer model AE33 collects aerosol particles continuously by drawing the aerosol-laden air stream through a spot on the filter tape. It analyzes the aerosol by measuring the transmission of light through one portion of the filter tape containing the sample, versus the transmission through an unloaded portion of the filter tape acting as a reference area. This analysis is done at seven optical wavelengths spanning the range from the near-infrared to the near-ultraviolet. The Aethalometer calculates the instantaneous concentration of optically-absorbing aerosols from the rate of change of the attenuation of light transmitted through the particle-laden filter.
    Keywords: aerosol; Aerosol absorption at 370 nm; Aerosol absorption at 470 nm; Aerosol absorption at 520 nm; Aerosol absorption at 590 nm; Aerosol absorption at 660 nm; Aerosol absorption at 880 nm; Aerosol absorption at 950 nm; aerosol absorption coefficient; Aethalometer, AE33, Magee Scientific; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Neumayer Station; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 131400 data points
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  • 73
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-0857_RAMSES1; Kelbra-0907_RAMSES1; Kelbra-0947_RAMSES1; Kelbra-0954_RAMSES1; Kelbra-1020_RAMSES1; Kelbra-1040_RAMSES1; Kelbra-1100_RAMSES1; Kelbra-1142_RAMSES1; Principal investigator; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 382.5 nm; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 387.5 nm; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 392.5 nm; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 397.5 nm; Remote sensing reflectance at 400 nm; Remote sensing reflectance at 402.5 nm; Remote sensing reflectance at 405 nm; Remote sensing reflectance at 407.5 nm; Remote sensing reflectance at 410 nm; Remote sensing reflectance at 412.5 nm; Remote sensing reflectance at 415 nm; Remote sensing reflectance at 417.5 nm; Remote sensing reflectance at 420 nm; Remote sensing reflectance at 422.5 nm; Remote sensing reflectance at 425 nm; Remote sensing reflectance at 427.5 nm; Remote sensing reflectance at 430 nm; Remote sensing reflectance at 432.5 nm; Remote sensing reflectance at 435 nm; Remote sensing reflectance at 437.5 nm; Remote sensing reflectance at 440 nm; Remote sensing reflectance at 442.5 nm; Remote sensing reflectance at 445 nm; Remote sensing reflectance at 447.5 nm; Remote sensing reflectance at 450 nm; Remote sensing reflectance at 452.5 nm; Remote sensing reflectance at 455 nm; Remote sensing reflectance at 457.5 nm; Remote sensing reflectance at 460 nm; Remote sensing reflectance at 462.5 nm; Remote sensing reflectance at 465 nm; Remote sensing reflectance at 467.5 nm; Remote sensing reflectance at 470 nm; Remote sensing reflectance at 472.5 nm; Remote sensing reflectance at 475 nm; Remote sensing reflectance at 477.5 nm; Remote sensing reflectance at 480 nm; Remote sensing reflectance at 482.5 nm; Remote sensing reflectance at 485 nm; Remote sensing reflectance at 487.5 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 492.5 nm; Remote sensing reflectance at 495 nm; Remote sensing reflectance at 497.5 nm; Remote sensing reflectance at 500 nm; Remote sensing reflectance at 502.5 nm; Remote sensing reflectance at 505 nm; Remote sensing reflectance at 507.5 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 512.5 nm; Remote sensing reflectance at 515 nm; Remote sensing reflectance at 517.5 nm; Remote sensing reflectance at 520 nm; Remote sensing reflectance at 522.5 nm; Remote sensing reflectance at 525 nm; Remote sensing reflectance at 527.5 nm; Remote sensing reflectance at 530 nm; Remote sensing reflectance at 532.5 nm; Remote sensing reflectance at 535 nm; Remote sensing reflectance at 537.5 nm; Remote sensing reflectance at 540 nm; Remote sensing reflectance at 542.5 nm; Remote sensing reflectance at 545 nm; Remote sensing reflectance at 547.5 nm; Remote sensing reflectance at 550 nm; Remote sensing reflectance at 552.5 nm; Remote sensing reflectance at 555 nm; Remote sensing reflectance at 557.5 nm; Remote sensing reflectance at 560 nm; Remote sensing reflectance at 562.5 nm; Remote sensing reflectance at 565 nm; Remote sensing reflectance at 567.5 nm; Remote sensing reflectance at 570 nm; Remote sensing reflectance at 572.5 nm; Remote sensing reflectance at 575 nm; Remote sensing reflectance at 577.5 nm; Remote sensing reflectance at 580 nm; Remote sensing reflectance at 582.5 nm; Remote sensing reflectance at 585 nm; Remote sensing reflectance at 587.5 nm; Remote sensing reflectance at 590 nm; Remote sensing reflectance at 592.5 nm; Remote sensing reflectance at 595 nm; Remote sensing reflectance at 597.5 nm; Remote sensing reflectance at 600 nm; Remote sensing reflectance at 602.5 nm; Remote sensing reflectance at 605 nm; Remote sensing reflectance at 607.5 nm; Remote sensing reflectance at 610 nm; Remote sensing reflectance at 612.5 nm; Remote sensing reflectance at 615 nm; Remote sensing reflectance at 617.5 nm; Remote sensing reflectance at 620 nm; Remote sensing reflectance at 622.5 nm; Remote sensing reflectance at 625 nm; Remote sensing reflectance at 627.5 nm; Remote sensing reflectance at 630 nm; Remote sensing reflectance at 632.5 nm; Remote sensing reflectance at 635 nm; Remote sensing reflectance at 637.5 nm; Remote sensing reflectance at 640 nm; Remote sensing reflectance at 642.5 nm; Remote sensing reflectance at 645 nm; Remote sensing reflectance at 647.5 nm; Remote sensing reflectance at 650 nm; Remote sensing reflectance at 652.5 nm; Remote sensing reflectance at 655 nm; Remote sensing reflectance at 657.5 nm; Remote sensing reflectance at 660 nm; Remote sensing reflectance at 662.5 nm; Remote sensing reflectance at 665 nm; Remote sensing reflectance at 667.5 nm; Remote sensing reflectance at 670 nm; Remote sensing reflectance at 672.5 nm; Remote sensing reflectance at 675 nm; Remote sensing reflectance at 677.5 nm; Remote sensing reflectance at 680 nm; Remote sensing reflectance at 682.5 nm; Remote sensing reflectance at 685 nm; Remote sensing reflectance at 687.5 nm; Remote sensing reflectance at 690 nm; Remote sensing reflectance at 692.5 nm; Remote sensing reflectance at 695 nm; Remote sensing reflectance at 697.5 nm; Remote sensing reflectance at 700 nm; Remote sensing reflectance at 702.5 nm; Remote sensing reflectance at 705 nm; Remote sensing reflectance at 707.5 nm; Remote sensing reflectance at 710 nm; Remote sensing reflectance at 712.5 nm; Remote sensing reflectance at 715 nm; Remote sensing reflectance at 717.5 nm; Remote sensing reflectance at 720 nm; Remote sensing reflectance at 722.5 nm; Remote sensing reflectance at 725 nm; Remote sensing reflectance at 727.5 nm; Remote sensing reflectance at 730 nm; Remote sensing reflectance at 732.5 nm; Remote sensing reflectance at 735 nm; Remote sensing reflectance at 737.5 nm; Remote sensing reflectance at 740 nm; Remote sensing reflectance at 742.5 nm; Remote sensing reflectance at 745 nm; Remote sensing reflectance at 747.5 nm; Remote sensing reflectance at 750 nm; Remote sensing reflectance at 752.5 nm; Remote sensing reflectance at 755 nm; Remote sensing reflectance at 757.5 nm; Remote sensing reflectance at 760 nm; Remote sensing reflectance at 762.5 nm; Remote sensing reflectance at 765 nm; Remote sensing reflectance at 767.5 nm; Remote sensing reflectance at 770 nm; Remote sensing reflectance at 772.5 nm; Remote sensing reflectance at 775 nm; Remote sensing reflectance at 777.5 nm; Remote sensing reflectance at 780 nm; Remote sensing reflectance at 782.5 nm; Remote sensing reflectance at 785 nm; Remote sensing reflectance at 787.5 nm; Remote sensing reflectance at 790 nm; Remote sensing reflectance at 792.5 nm; Remote sensing reflectance at 795 nm; Remote sensing reflectance at 797.5 nm; Remote sensing reflectance at 800 nm; Remote sensing reflectance at 802.5 nm; Remote sensing reflectance at 805 nm; Remote sensing reflectance at 807.5 nm; Remote sensing reflectance at 810 nm; Remote sensing reflectance at 812.5 nm; Remote sensing reflectance at 815 nm; Remote sensing reflectance at 817.5 nm; Remote sensing reflectance at 820 nm; Remote sensing reflectance at 822.5 nm; Remote sensing reflectance at 825 nm; Remote sensing reflectance at 827.5 nm; Remote sensing reflectance at 830 nm; Remote sensing reflectance at 832.5 nm; Remote sensing reflectance at 835 nm; Remote sensing reflectance at 837.5 nm; Remote sensing reflectance at 840 nm; Remote sensing reflectance at 842.5 nm; Remote sensing reflectance at 845 nm; Remote sensing reflectance at 847.5 nm; Remote sensing reflectance at 850 nm; Remote sensing reflectance at 852.5 nm; Remote sensing reflectance at 855 nm; Remote sensing reflectance at 857.5 nm; Remote sensing reflectance at 860 nm; Remote sensing reflectance at 862.5 nm; Remote sensing reflectance at 865 nm;
    Type: Dataset
    Format: text/tab-separated-values, 1728 data points
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  • 74
    Publication Date: 2023-07-03
    Keywords: Date/time end; Date/time start; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Remote sensing reflectance at 320 nm; Remote sensing reflectance at 320 nm, standard deviation; Remote sensing reflectance at 321 nm; Remote sensing reflectance at 321 nm, standard deviation; Remote sensing reflectance at 322 nm; Remote sensing reflectance at 322 nm, standard deviation; Remote sensing reflectance at 323 nm; Remote sensing reflectance at 323 nm, standard deviation; Remote sensing reflectance at 324 nm; Remote sensing reflectance at 324 nm, standard deviation; Remote sensing reflectance at 325 nm; Remote sensing reflectance at 325 nm, standard deviation; Remote sensing reflectance at 326 nm; Remote sensing reflectance at 326 nm, standard deviation; Remote sensing reflectance at 327 nm; Remote sensing reflectance at 327 nm, standard deviation; Remote sensing reflectance at 328 nm; Remote sensing reflectance at 328 nm, standard deviation; Remote sensing reflectance at 329 nm; Remote sensing reflectance at 329 nm, standard deviation; Remote sensing reflectance at 330 nm; Remote sensing reflectance at 330 nm, standard deviation; Remote sensing reflectance at 331 nm; Remote sensing reflectance at 331 nm, standard deviation; Remote sensing reflectance at 332 nm; Remote sensing reflectance at 332 nm, standard deviation; Remote sensing reflectance at 333 nm; Remote sensing reflectance at 333 nm, standard deviation; Remote sensing reflectance at 334 nm; Remote sensing reflectance at 334 nm, standard deviation; Remote sensing reflectance at 335 nm; Remote sensing reflectance at 335 nm, standard deviation; Remote sensing reflectance at 336 nm; Remote sensing reflectance at 336 nm, standard deviation; Remote sensing reflectance at 337 nm; Remote sensing reflectance at 337 nm, standard deviation; Remote sensing reflectance at 338 nm; Remote sensing reflectance at 338 nm, standard deviation; Remote sensing reflectance at 339 nm; Remote sensing reflectance at 339 nm, standard deviation; Remote sensing reflectance at 340 nm; Remote sensing reflectance at 340 nm, standard deviation; Remote sensing reflectance at 341 nm; Remote sensing reflectance at 341 nm, standard deviation; Remote sensing reflectance at 342 nm; Remote sensing reflectance at 342 nm, standard deviation; Remote sensing reflectance at 343 nm; Remote sensing reflectance at 343 nm, standard deviation; Remote sensing reflectance at 344 nm; Remote sensing reflectance at 344 nm, standard deviation; Remote sensing reflectance at 345 nm; Remote sensing reflectance at 345 nm, standard deviation; Remote sensing reflectance at 346 nm; Remote sensing reflectance at 346 nm, standard deviation; Remote sensing reflectance at 347 nm; Remote sensing reflectance at 347 nm, standard deviation; Remote sensing reflectance at 348 nm; Remote sensing reflectance at 348 nm, standard deviation; Remote sensing reflectance at 349 nm; Remote sensing reflectance at 349 nm, standard deviation; Remote sensing reflectance at 350 nm; Remote sensing reflectance at 350 nm, standard deviation; Remote sensing reflectance at 351 nm; Remote sensing reflectance at 351 nm, standard deviation; Remote sensing reflectance at 352 nm; Remote sensing reflectance at 352 nm, standard deviation; Remote sensing reflectance at 353 nm; Remote sensing reflectance at 353 nm, standard deviation; Remote sensing reflectance at 354 nm; Remote sensing reflectance at 354 nm, standard deviation; Remote sensing reflectance at 355 nm; Remote sensing reflectance at 355 nm, standard deviation; Remote sensing reflectance at 356 nm; Remote sensing reflectance at 356 nm, standard deviation; Remote sensing reflectance at 357 nm; Remote sensing reflectance at 357 nm, standard deviation; Remote sensing reflectance at 358 nm; Remote sensing reflectance at 358 nm, standard deviation; Remote sensing reflectance at 359 nm; Remote sensing reflectance at 359 nm, standard deviation; Remote sensing reflectance at 360 nm; Remote sensing reflectance at 360 nm, standard deviation; Remote sensing reflectance at 361 nm; Remote sensing reflectance at 361 nm, standard deviation; Remote sensing reflectance at 362 nm; Remote sensing reflectance at 362 nm, standard deviation; Remote sensing reflectance at 363 nm; Remote sensing reflectance at 363 nm, standard deviation; Remote sensing reflectance at 364 nm; Remote sensing reflectance at 364 nm, standard deviation; Remote sensing reflectance at 365 nm; Remote sensing reflectance at 365 nm, standard deviation; Remote sensing reflectance at 366 nm; Remote sensing reflectance at 366 nm, standard deviation; Remote sensing reflectance at 367 nm; Remote sensing reflectance at 367 nm, standard deviation; Remote sensing reflectance at 368 nm; Remote sensing reflectance at 368 nm, standard deviation; Remote sensing reflectance at 369 nm; Remote sensing reflectance at 369 nm, standard deviation; Remote sensing reflectance at 370 nm; Remote sensing reflectance at 370 nm, standard deviation; Remote sensing reflectance at 371 nm; Remote sensing reflectance at 371 nm, standard deviation; Remote sensing reflectance at 372 nm; Remote sensing reflectance at 372 nm, standard deviation; Remote sensing reflectance at 373 nm; Remote sensing reflectance at 373 nm, standard deviation; Remote sensing reflectance at 374 nm; Remote sensing reflectance at 374 nm, standard deviation; Remote sensing reflectance at 375 nm; Remote sensing reflectance at 375 nm, standard deviation; Remote sensing reflectance at 376 nm; Remote sensing reflectance at 376 nm, standard deviation; Remote sensing reflectance at 377 nm; Remote sensing reflectance at 377 nm, standard deviation; Remote sensing reflectance at 378 nm; Remote sensing reflectance at 378 nm, standard deviation; Remote sensing reflectance at 379 nm; Remote sensing reflectance at 379 nm, standard deviation; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 380 nm, standard deviation; Remote sensing reflectance at 381 nm; Remote sensing reflectance at 381 nm, standard deviation; Remote sensing reflectance at 382 nm; Remote sensing reflectance at 382 nm, standard deviation; Remote sensing reflectance at 383 nm; Remote sensing reflectance at 383 nm, standard deviation; Remote sensing reflectance at 384 nm; Remote sensing reflectance at 384 nm, standard deviation; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 385 nm, standard deviation; Remote sensing reflectance at 386 nm; Remote sensing reflectance at 386 nm, standard deviation; Remote sensing reflectance at 387 nm; Remote sensing reflectance at 387 nm, standard deviation; Remote sensing reflectance at 388 nm; Remote sensing reflectance at 388 nm, standard deviation; Remote sensing reflectance at 389 nm; Remote sensing reflectance at 389 nm, standard deviation; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 390 nm, standard deviation; Remote sensing reflectance at 391 nm; Remote sensing reflectance at 391 nm, standard deviation; Remote sensing reflectance at 392 nm; Remote sensing reflectance at 392 nm, standard deviation; Remote sensing reflectance at 393 nm; Remote sensing reflectance at 393 nm, standard deviation; Remote sensing reflectance at 394 nm; Remote sensing reflectance at 394 nm, standard deviation; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 395 nm, standard deviation; Remote sensing reflectance at 396 nm; Remote sensing reflectance at 396 nm, standard deviation; Remote sensing reflectance at 397 nm; Remote sensing reflectance at 397 nm, standard deviation; Remote sensing reflectance at 398 nm; Remote sensing reflectance at 398 nm, standard deviation; Remote sensing reflectance at 399 nm; Remote sensing reflectance at 399 nm, standard deviation; Remote sensing reflectance at 400 nm; Remote sensing reflectance at 400 nm, standard deviation; Remote sensing
    Type: Dataset
    Format: text/tab-separated-values, 2325 data points
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  • 75
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Sensor height above water level; Spectral irradiance, downward at 1000.518 nm; Spectral irradiance, downward at 1001.304 nm; Spectral irradiance, downward at 1002.091 nm; Spectral irradiance, downward at 1002.877 nm; Spectral irradiance, downward at 1003.664 nm; Spectral irradiance, downward at 1004.45 nm; Spectral irradiance, downward at 1005.236 nm; Spectral irradiance, downward at 1006.023 nm; Spectral irradiance, downward at 1006.809 nm; Spectral irradiance, downward at 1007.595 nm; Spectral irradiance, downward at 1008.381 nm; Spectral irradiance, downward at 1009.167 nm; Spectral irradiance, downward at 1009.953 nm; Spectral irradiance, downward at 1010.738 nm; Spectral irradiance, downward at 1011.524 nm; Spectral irradiance, downward at 1012.31 nm; Spectral irradiance, downward at 1013.095 nm; Spectral irradiance, downward at 1013.881 nm; Spectral irradiance, downward at 1014.666 nm; Spectral irradiance, downward at 1015.451 nm; Spectral irradiance, downward at 1016.237 nm; Spectral irradiance, downward at 1017.022 nm; Spectral irradiance, downward at 1017.807 nm; Spectral irradiance, downward at 1018.592 nm; Spectral irradiance, downward at 1019.377 nm; Spectral irradiance, downward at 1020.162 nm; Spectral irradiance, downward at 353.585 nm; Spectral irradiance, downward at 354.408 nm; Spectral irradiance, downward at 355.231 nm; Spectral irradiance, downward at 356.055 nm; Spectral irradiance, downward at 356.878 nm; Spectral irradiance, downward at 357.702 nm; Spectral irradiance, downward at 358.525 nm; Spectral irradiance, downward at 359.348 nm; Spectral irradiance, downward at 360.172 nm; Spectral irradiance, downward at 360.995 nm; Spectral irradiance, downward at 361.818 nm; Spectral irradiance, downward at 362.642 nm; Spectral irradiance, downward at 363.465 nm; Spectral irradiance, downward at 364.288 nm; Spectral irradiance, downward at 365.111 nm; Spectral irradiance, downward at 365.935 nm; Spectral irradiance, downward at 366.758 nm; Spectral irradiance, downward at 367.581 nm; Spectral irradiance, downward at 368.405 nm; Spectral irradiance, downward at 369.228 nm; Spectral irradiance, downward at 370.051 nm; Spectral irradiance, downward at 370.874 nm; Spectral irradiance, downward at 371.698 nm; Spectral irradiance, downward at 372.521 nm; Spectral irradiance, downward at 373.344 nm; Spectral irradiance, downward at 374.167 nm; Spectral irradiance, downward at 374.991 nm; Spectral irradiance, downward at 375.814 nm; Spectral irradiance, downward at 376.637 nm; Spectral irradiance, downward at 377.46 nm; Spectral irradiance, downward at 378.283 nm; Spectral irradiance, downward at 379.106 nm; Spectral irradiance, downward at 379.93 nm; Spectral irradiance, downward at 380.753 nm; Spectral irradiance, downward at 381.576 nm; Spectral irradiance, downward at 382.399 nm; Spectral irradiance, downward at 383.222 nm; Spectral irradiance, downward at 384.045 nm; Spectral irradiance, downward at 384.868 nm; Spectral irradiance, downward at 385.692 nm; Spectral irradiance, downward at 386.515 nm; Spectral irradiance, downward at 387.338 nm; Spectral irradiance, downward at 388.161 nm; Spectral irradiance, downward at 388.984 nm; Spectral irradiance, downward at 389.807 nm; Spectral irradiance, downward at 390.63 nm; Spectral irradiance, downward at 391.453 nm; Spectral irradiance, downward at 392.276 nm; Spectral irradiance, downward at 393.099 nm; Spectral irradiance, downward at 393.922 nm; Spectral irradiance, downward at 394.745 nm; Spectral irradiance, downward at 395.568 nm; Spectral irradiance, downward at 396.391 nm; Spectral irradiance, downward at 397.214 nm; Spectral irradiance, downward at 398.037 nm; Spectral irradiance, downward at 398.86 nm; Spectral irradiance, downward at 399.683 nm; Spectral irradiance, downward at 400.506 nm; Spectral irradiance, downward at 401.329 nm; Spectral irradiance, downward at 402.152 nm; Spectral irradiance, downward at 402.974 nm; Spectral irradiance, downward at 403.797 nm; Spectral irradiance, downward at 404.62 nm; Spectral irradiance, downward at 405.443 nm; Spectral irradiance, downward at 406.266 nm; Spectral irradiance, downward at 407.089 nm; Spectral irradiance, downward at 407.911 nm; Spectral irradiance, downward at 408.734 nm; Spectral irradiance, downward at 409.557 nm; Spectral irradiance, downward at 410.38 nm; Spectral irradiance, downward at 411.203 nm; Spectral irradiance, downward at 412.025 nm; Spectral irradiance, downward at 412.848 nm; Spectral irradiance, downward at 413.671 nm; Spectral irradiance, downward at 414.493 nm; Spectral irradiance, downward at 415.316 nm; Spectral irradiance, downward at 416.139 nm; Spectral irradiance, downward at 416.961 nm; Spectral irradiance, downward at 417.784 nm; Spectral irradiance, downward at 418.607 nm; Spectral irradiance, downward at 419.429 nm; Spectral irradiance, downward at 420.252 nm; Spectral irradiance, downward at 421.074 nm; Spectral irradiance, downward at 421.897 nm; Spectral irradiance, downward at 422.72 nm; Spectral irradiance, downward at 423.542 nm; Spectral irradiance, downward at 424.365 nm; Spectral irradiance, downward at 425.187 nm; Spectral irradiance, downward at 426.01 nm; Spectral irradiance, downward at 426.832 nm; Spectral irradiance, downward at 427.655 nm; Spectral irradiance, downward at 428.477 nm; Spectral irradiance, downward at 429.299 nm; Spectral irradiance, downward at 430.122 nm; Spectral irradiance, downward at 430.944 nm; Spectral irradiance, downward at 431.767 nm; Spectral irradiance, downward at 432.589 nm; Spectral irradiance, downward at 433.411 nm; Spectral irradiance, downward at 434.234 nm; Spectral irradiance, downward at 435.056 nm; Spectral irradiance, downward at 435.878 nm; Spectral irradiance, downward at 436.7 nm; Spectral irradiance, downward at 437.523 nm; Spectral irradiance, downward at 438.345 nm; Spectral irradiance, downward at 439.167 nm; Spectral irradiance, downward at 439.989 nm; Spectral irradiance, downward at 440.811 nm; Spectral irradiance, downward at 441.634 nm; Spectral irradiance, downward at 442.456 nm; Spectral irradiance, downward at 443.278 nm; Spectral irradiance, downward at 444.1 nm; Spectral irradiance, downward at 444.922 nm; Spectral irradiance, downward at 445.744 nm; Spectral irradiance, downward at 446.566 nm; Spectral irradiance, downward at 447.388 nm; Spectral irradiance, downward at 448.21 nm; Spectral irradiance, downward at 449.032 nm; Spectral irradiance, downward at 449.854 nm; Spectral irradiance, downward at 450.676 nm; Spectral irradiance, downward at 451.498 nm; Spectral irradiance, downward at 452.32 nm; Spectral irradiance, downward at 453.142 nm; Spectral irradiance, downward at 453.964 nm; Spectral irradiance, downward at 454.786 nm; Spectral irradiance, downward at 455.608 nm; Spectral irradiance, downward at 456.429 nm; Spectral irradiance, downward at 457.251 nm; Spectral irradiance, downward at 458.073 nm; Spectral irradiance, downward at 458.895 nm; Spectral irradiance, downward at 459.716 nm; Spectral irradiance, downward at 460.538 nm; Spectral irradiance, downward at 461.36 nm; Spectral irradiance, downward at 462.181 nm; Spectral irradiance, downward at 463.003 nm; Spectral irradiance, downward at 463.825 nm; Spectral irradiance, downward at 464.646 nm; Spectral irradiance, downward at 465.468 nm; Spectral irradiance, downward at 466.289 nm; Spectral irradiance, downward at 467.111 nm; Spectral irradiance, downward at 467.933 nm; Spectral irradiance, downward at 468.754 nm; Spectral irradiance, downward at 469.576 nm; Spectral irradiance, downward at 470.397 nm; Spectral irradiance, downward at 471.218 nm; Spectral irradiance, downward at 472.04 nm; Spectral irradiance, downward at 472.861 nm; Spectral irradiance, downward at 473.683 nm; Spectral irradiance, downward at 474.
    Type: Dataset
    Format: text/tab-separated-values, 110390 data points
    Location Call Number Expected Availability
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  • 76
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-0857_RAMSES1; Kelbra-0907_RAMSES1; Kelbra-0947_RAMSES1; Kelbra-0954_RAMSES1; Kelbra-1020_RAMSES1; Kelbra-1040_RAMSES1; Kelbra-1100_RAMSES1; Kelbra-1142_RAMSES1; Principal investigator; Sensor height above water level; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 380 nm, standard deviation; Spectral irradiance, downward at 382.5 nm; Spectral irradiance, downward at 382.5 nm, standard deviation; Spectral irradiance, downward at 385 nm; Spectral irradiance, downward at 385 nm, standard deviation; Spectral irradiance, downward at 387.5 nm; Spectral irradiance, downward at 387.5 nm, standard deviation; Spectral irradiance, downward at 390 nm; Spectral irradiance, downward at 390 nm, standard deviation; Spectral irradiance, downward at 392.5 nm; Spectral irradiance, downward at 392.5 nm, standard deviation; Spectral irradiance, downward at 395 nm; Spectral irradiance, downward at 395 nm, standard deviation; Spectral irradiance, downward at 397.5 nm; Spectral irradiance, downward at 397.5 nm, standard deviation; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 400 nm, standard deviation; Spectral irradiance, downward at 402.5 nm; Spectral irradiance, downward at 402.5 nm, standard deviation; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 405 nm, standard deviation; Spectral irradiance, downward at 407.5 nm; Spectral irradiance, downward at 407.5 nm, standard deviation; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 410 nm, standard deviation; Spectral irradiance, downward at 412.5 nm; Spectral irradiance, downward at 412.5 nm, standard deviation; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 415 nm, standard deviation; Spectral irradiance, downward at 417.5 nm; Spectral irradiance, downward at 417.5 nm, standard deviation; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 420 nm, standard deviation; Spectral irradiance, downward at 422.5 nm; Spectral irradiance, downward at 422.5 nm, standard deviation; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 425 nm, standard deviation; Spectral irradiance, downward at 427.5 nm; Spectral irradiance, downward at 427.5 nm, standard deviation; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 430 nm, standard deviation; Spectral irradiance, downward at 432.5 nm; Spectral irradiance, downward at 432.5 nm, standard deviation; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 435 nm, standard deviation; Spectral irradiance, downward at 437.5 nm; Spectral irradiance, downward at 437.5 nm, standard deviation; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 440 nm, standard deviation; Spectral irradiance, downward at 442.5 nm; Spectral irradiance, downward at 442.5 nm, standard deviation; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 445 nm, standard deviation; Spectral irradiance, downward at 447.5 nm; Spectral irradiance, downward at 447.5 nm, standard deviation; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 450 nm, standard deviation; Spectral irradiance, downward at 452.5 nm; Spectral irradiance, downward at 452.5 nm, standard deviation; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 455 nm, standard deviation; Spectral irradiance, downward at 457.5 nm; Spectral irradiance, downward at 457.5 nm, standard deviation; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 460 nm, standard deviation; Spectral irradiance, downward at 462.5 nm; Spectral irradiance, downward at 462.5 nm, standard deviation; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 465 nm, standard deviation; Spectral irradiance, downward at 467.5 nm; Spectral irradiance, downward at 467.5 nm, standard deviation; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 470 nm, standard deviation; Spectral irradiance, downward at 472.5 nm; Spectral irradiance, downward at 472.5 nm, standard deviation; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 475 nm, standard deviation; Spectral irradiance, downward at 477.5 nm; Spectral irradiance, downward at 477.5 nm, standard deviation; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 480 nm, standard deviation; Spectral irradiance, downward at 482.5 nm; Spectral irradiance, downward at 482.5 nm, standard deviation; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 485 nm, standard deviation; Spectral irradiance, downward at 487.5 nm; Spectral irradiance, downward at 487.5 nm, standard deviation; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 490 nm, standard deviation; Spectral irradiance, downward at 492.5 nm; Spectral irradiance, downward at 492.5 nm, standard deviation; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 495 nm, standard deviation; Spectral irradiance, downward at 497.5 nm; Spectral irradiance, downward at 497.5 nm, standard deviation; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 500 nm, standard deviation; Spectral irradiance, downward at 502.5 nm; Spectral irradiance, downward at 502.5 nm, standard deviation; Spectral irradiance, downward at 505 nm; Spectral irradiance, downward at 505 nm, standard deviation; Spectral irradiance, downward at 507.5 nm; Spectral irradiance, downward at 507.5 nm, standard deviation; Spectral irradiance, downward at 510 nm; Spectral irradiance, downward at 510 nm, standard deviation; Spectral irradiance, downward at 512.5 nm; Spectral irradiance, downward at 512.5 nm, standard deviation; Spectral irradiance, downward at 515 nm; Spectral irradiance, downward at 515 nm, standard deviation; Spectral irradiance, downward at 517.5 nm; Spectral irradiance, downward at 517.5 nm, standard deviation; Spectral irradiance, downward at 520 nm; Spectral irradiance, downward at 520 nm, standard deviation; Spectral irradiance, downward at 522.5 nm; Spectral irradiance, downward at 522.5 nm, standard deviation; Spectral irradiance, downward at 525 nm; Spectral irradiance, downward at 525 nm, standard deviation; Spectral irradiance, downward at 527.5 nm; Spectral irradiance, downward at 527.5 nm, standard deviation; Spectral irradiance, downward at 530 nm; Spectral irradiance, downward at 530 nm, standard deviation; Spectral irradiance, downward at 532.5 nm; Spectral irradiance, downward at 532.5 nm, standard deviation; Spectral irradiance, downward at 535 nm; Spectral irradiance, downward at 535 nm, standard deviation; Spectral irradiance, downward at 537.5 nm; Spectral irradiance, downward at 537.5 nm, standard deviation; Spectral irradiance, downward at 540 nm; Spectral irradiance, downward at 540 nm, standard deviation; Spectral irradiance, downward at 542.5 nm; Spectral irradiance, downward at 542.5 nm, standard deviation; Spectral irradiance, downward at 545 nm; Spectral irradiance, downward at 545 nm, standard deviation; Spectral irradiance, downward at 547.5 nm; Spectral irradiance, downward at 547.5 nm, standard deviation; Spectral irradiance, downward at 550 nm; Spectral irradiance, downward at 550 nm, standard deviation; Spectral irradiance, downward at 552.5 nm; Spectral irradiance, downward at 552.5 nm, standard deviation; Spectral irradiance, downward at 555 nm; Spectral irradiance, downward at 555 nm, standard deviation; Spectral irradiance, downward at 557.5 nm; Spectral irradiance, downward at 557.5 nm, standard deviation; Spectral irradiance, downward at 560 nm; Spectral irradiance, downward at 560 nm,
    Type: Dataset
    Format: text/tab-separated-values, 21300 data points
    Location Call Number Expected Availability
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  • 77
    Publication Date: 2023-07-03
    Description: Radiometric measurement with Trios Ramses system. All Trios measurements averaged over reliable common times. The viewing zenith angle was approx. 45°. The surface reflectance factors rho are only given for 40 or 50°. If rho is to high, there is an overcorrection of Lw and Rrs. For this three methods for correction are applied: constant factor rho, Mobley 1999 and Mobley 2015 (Mobley 1999 related to 50°, Mobley 2015 related to 40°).
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Rappbode-YT1-0800_RAMSES2; Rappbode-YT1-0800B_RAMSES2; Rappbode-YT6-1114_RAMSES2; Rappbode-YTMETE-1045_RAMSES2; Sensor height above water level; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 380 nm, standard deviation; Spectral irradiance, downward at 382.5 nm; Spectral irradiance, downward at 382.5 nm, standard deviation; Spectral irradiance, downward at 385 nm; Spectral irradiance, downward at 385 nm, standard deviation; Spectral irradiance, downward at 387.5 nm; Spectral irradiance, downward at 387.5 nm, standard deviation; Spectral irradiance, downward at 390 nm; Spectral irradiance, downward at 390 nm, standard deviation; Spectral irradiance, downward at 392.5 nm; Spectral irradiance, downward at 392.5 nm, standard deviation; Spectral irradiance, downward at 395 nm; Spectral irradiance, downward at 395 nm, standard deviation; Spectral irradiance, downward at 397.5 nm; Spectral irradiance, downward at 397.5 nm, standard deviation; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 400 nm, standard deviation; Spectral irradiance, downward at 402.5 nm; Spectral irradiance, downward at 402.5 nm, standard deviation; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 405 nm, standard deviation; Spectral irradiance, downward at 407.5 nm; Spectral irradiance, downward at 407.5 nm, standard deviation; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 410 nm, standard deviation; Spectral irradiance, downward at 412.5 nm; Spectral irradiance, downward at 412.5 nm, standard deviation; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 415 nm, standard deviation; Spectral irradiance, downward at 417.5 nm; Spectral irradiance, downward at 417.5 nm, standard deviation; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 420 nm, standard deviation; Spectral irradiance, downward at 422.5 nm; Spectral irradiance, downward at 422.5 nm, standard deviation; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 425 nm, standard deviation; Spectral irradiance, downward at 427.5 nm; Spectral irradiance, downward at 427.5 nm, standard deviation; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 430 nm, standard deviation; Spectral irradiance, downward at 432.5 nm; Spectral irradiance, downward at 432.5 nm, standard deviation; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 435 nm, standard deviation; Spectral irradiance, downward at 437.5 nm; Spectral irradiance, downward at 437.5 nm, standard deviation; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 440 nm, standard deviation; Spectral irradiance, downward at 442.5 nm; Spectral irradiance, downward at 442.5 nm, standard deviation; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 445 nm, standard deviation; Spectral irradiance, downward at 447.5 nm; Spectral irradiance, downward at 447.5 nm, standard deviation; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 450 nm, standard deviation; Spectral irradiance, downward at 452.5 nm; Spectral irradiance, downward at 452.5 nm, standard deviation; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 455 nm, standard deviation; Spectral irradiance, downward at 457.5 nm; Spectral irradiance, downward at 457.5 nm, standard deviation; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 460 nm, standard deviation; Spectral irradiance, downward at 462.5 nm; Spectral irradiance, downward at 462.5 nm, standard deviation; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 465 nm, standard deviation; Spectral irradiance, downward at 467.5 nm; Spectral irradiance, downward at 467.5 nm, standard deviation; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 470 nm, standard deviation; Spectral irradiance, downward at 472.5 nm; Spectral irradiance, downward at 472.5 nm, standard deviation; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 475 nm, standard deviation; Spectral irradiance, downward at 477.5 nm; Spectral irradiance, downward at 477.5 nm, standard deviation; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 480 nm, standard deviation; Spectral irradiance, downward at 482.5 nm; Spectral irradiance, downward at 482.5 nm, standard deviation; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 485 nm, standard deviation; Spectral irradiance, downward at 487.5 nm; Spectral irradiance, downward at 487.5 nm, standard deviation; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 490 nm, standard deviation; Spectral irradiance, downward at 492.5 nm; Spectral irradiance, downward at 492.5 nm, standard deviation; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 495 nm, standard deviation; Spectral irradiance, downward at 497.5 nm; Spectral irradiance, downward at 497.5 nm, standard deviation; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 500 nm, standard deviation; Spectral irradiance, downward at 502.5 nm; Spectral irradiance, downward at 502.5 nm, standard deviation; Spectral irradiance, downward at 505 nm; Spectral irradiance, downward at 505 nm, standard deviation; Spectral irradiance, downward at 507.5 nm; Spectral irradiance, downward at 507.5 nm, standard deviation; Spectral irradiance, downward at 510 nm; Spectral irradiance, downward at 510 nm, standard deviation; Spectral irradiance, downward at 512.5 nm; Spectral irradiance, downward at 512.5 nm, standard deviation; Spectral irradiance, downward at 515 nm; Spectral irradiance, downward at 515 nm, standard deviation; Spectral irradiance, downward at 517.5 nm; Spectral irradiance, downward at 517.5 nm, standard deviation; Spectral irradiance, downward at 520 nm; Spectral irradiance, downward at 520 nm, standard deviation; Spectral irradiance, downward at 522.5 nm; Spectral irradiance, downward at 522.5 nm, standard deviation; Spectral irradiance, downward at 525 nm; Spectral irradiance, downward at 525 nm, standard deviation; Spectral irradiance, downward at 527.5 nm; Spectral irradiance, downward at 527.5 nm, standard deviation; Spectral irradiance, downward at 530 nm; Spectral irradiance, downward at 530 nm, standard deviation; Spectral irradiance, downward at 532.5 nm; Spectral irradiance, downward at 532.5 nm, standard deviation; Spectral irradiance, downward at 535 nm; Spectral irradiance, downward at 535 nm, standard deviation; Spectral irradiance, downward at 537.5 nm; Spectral irradiance, downward at 537.5 nm, standard deviation; Spectral irradiance, downward at 540 nm; Spectral irradiance, downward at 540 nm, standard deviation; Spectral irradiance, downward at 542.5 nm; Spectral irradiance, downward at 542.5 nm, standard deviation; Spectral irradiance, downward at 545 nm; Spectral irradiance, downward at 545 nm, standard deviation; Spectral irradiance, downward at 547.5 nm; Spectral irradiance, downward at 547.5 nm, standard deviation; Spectral irradiance, downward at 550 nm; Spectral irradiance, downward at 550 nm, standard deviation; Spectral irradiance, downward at 552.5 nm; Spectral irradiance, downward at 552.5 nm, standard deviation; Spectral irradiance, downward at 555 nm; Spectral irradiance, downward at 555 nm, standard deviation; Spectral irradiance, downward at 557.5 nm; Spectral irradiance, downward at 557.5 nm, standard deviation; Spectral irradiance, downward at 560 nm; Spectral irradiance, downward at 560 nm, standard deviation; Spectral irradiance, downward at 562.
    Type: Dataset
    Format: text/tab-separated-values, 1282 data points
    Location Call Number Expected Availability
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  • 78
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Kelbra-0857_RAMSES1; Kelbra-0907_RAMSES1; Kelbra-0947_RAMSES1; Kelbra-0954_RAMSES1; Kelbra-1020_RAMSES1; Kelbra-1040_RAMSES1; Kelbra-1100_RAMSES1; Kelbra-1142_RAMSES1; Principal investigator; Sensor height above water level; Spectral radiance, upward at 380 nm; Spectral radiance, upward at 380 nm, standard deviation; Spectral radiance, upward at 382.5 nm; Spectral radiance, upward at 382.5 nm, standard deviation; Spectral radiance, upward at 385 nm; Spectral radiance, upward at 385 nm, standard deviation; Spectral radiance, upward at 387.5 nm; Spectral radiance, upward at 387.5 nm, standard deviation; Spectral radiance, upward at 390 nm; Spectral radiance, upward at 390 nm, standard deviation; Spectral radiance, upward at 392.5 nm; Spectral radiance, upward at 392.5 nm, standard deviation; Spectral radiance, upward at 395 nm; Spectral radiance, upward at 395 nm, standard deviation; Spectral radiance, upward at 397.5 nm; Spectral radiance, upward at 397.5 nm, standard deviation; Spectral radiance, upward at 400 nm; Spectral radiance, upward at 400 nm, standard deviation; Spectral radiance, upward at 402.5 nm; Spectral radiance, upward at 402.5 nm, standard deviation; Spectral radiance, upward at 405 nm; Spectral radiance, upward at 405 nm, standard deviation; Spectral radiance, upward at 407.5 nm; Spectral radiance, upward at 407.5 nm, standard deviation; Spectral radiance, upward at 410 nm; Spectral radiance, upward at 410 nm, standard deviation; Spectral radiance, upward at 412.5 nm; Spectral radiance, upward at 412.5 nm, standard deviation; Spectral radiance, upward at 415 nm; Spectral radiance, upward at 415 nm, standard deviation; Spectral radiance, upward at 417.5 nm; Spectral radiance, upward at 417.5 nm, standard deviation; Spectral radiance, upward at 420 nm; Spectral radiance, upward at 420 nm, standard deviation; Spectral radiance, upward at 422.5 nm; Spectral radiance, upward at 422.5 nm, standard deviation; Spectral radiance, upward at 425 nm; Spectral radiance, upward at 425 nm, standard deviation; Spectral radiance, upward at 427.5 nm; Spectral radiance, upward at 427.5 nm, standard deviation; Spectral radiance, upward at 430 nm; Spectral radiance, upward at 430 nm, standard deviation; Spectral radiance, upward at 432.5 nm; Spectral radiance, upward at 432.5 nm, standard deviation; Spectral radiance, upward at 435 nm; Spectral radiance, upward at 435 nm, standard deviation; Spectral radiance, upward at 437.5 nm; Spectral radiance, upward at 437.5 nm, standard deviation; Spectral radiance, upward at 440 nm; Spectral radiance, upward at 440 nm, standard deviation; Spectral radiance, upward at 442.5 nm; Spectral radiance, upward at 442.5 nm, standard deviation; Spectral radiance, upward at 445 nm; Spectral radiance, upward at 445 nm, standard deviation; Spectral radiance, upward at 447.5 nm; Spectral radiance, upward at 447.5 nm, standard deviation; Spectral radiance, upward at 450 nm; Spectral radiance, upward at 450 nm, standard deviation; Spectral radiance, upward at 452.5 nm; Spectral radiance, upward at 452.5 nm, standard deviation; Spectral radiance, upward at 455 nm; Spectral radiance, upward at 455 nm, standard deviation; Spectral radiance, upward at 457.5 nm; Spectral radiance, upward at 457.5 nm, standard deviation; Spectral radiance, upward at 460 nm; Spectral radiance, upward at 460 nm, standard deviation; Spectral radiance, upward at 462.5 nm; Spectral radiance, upward at 462.5 nm, standard deviation; Spectral radiance, upward at 465 nm; Spectral radiance, upward at 465 nm, standard deviation; Spectral radiance, upward at 467.5 nm; Spectral radiance, upward at 467.5 nm, standard deviation; Spectral radiance, upward at 470 nm; Spectral radiance, upward at 470 nm, standard deviation; Spectral radiance, upward at 472.5 nm; Spectral radiance, upward at 472.5 nm, standard deviation; Spectral radiance, upward at 475 nm; Spectral radiance, upward at 475 nm, standard deviation; Spectral radiance, upward at 477.5 nm; Spectral radiance, upward at 477.5 nm, standard deviation; Spectral radiance, upward at 480 nm; Spectral radiance, upward at 480 nm, standard deviation; Spectral radiance, upward at 482.5 nm; Spectral radiance, upward at 482.5 nm, standard deviation; Spectral radiance, upward at 485 nm; Spectral radiance, upward at 485 nm, standard deviation; Spectral radiance, upward at 487.5 nm; Spectral radiance, upward at 487.5 nm, standard deviation; Spectral radiance, upward at 490 nm; Spectral radiance, upward at 490 nm, standard deviation; Spectral radiance, upward at 492.5 nm; Spectral radiance, upward at 492.5 nm, standard deviation; Spectral radiance, upward at 495 nm; Spectral radiance, upward at 495 nm, standard deviation; Spectral radiance, upward at 497.5 nm; Spectral radiance, upward at 497.5 nm, standard deviation; Spectral radiance, upward at 500 nm; Spectral radiance, upward at 500 nm, standard deviation; Spectral radiance, upward at 502.5 nm; Spectral radiance, upward at 502.5 nm, standard deviation; Spectral radiance, upward at 505 nm; Spectral radiance, upward at 505 nm, standard deviation; Spectral radiance, upward at 507.5 nm; Spectral radiance, upward at 507.5 nm, standard deviation; Spectral radiance, upward at 510 nm; Spectral radiance, upward at 510 nm, standard deviation; Spectral radiance, upward at 512.5 nm; Spectral radiance, upward at 512.5 nm, standard deviation; Spectral radiance, upward at 515 nm; Spectral radiance, upward at 515 nm, standard deviation; Spectral radiance, upward at 517.5 nm; Spectral radiance, upward at 517.5 nm, standard deviation; Spectral radiance, upward at 520 nm; Spectral radiance, upward at 520 nm, standard deviation; Spectral radiance, upward at 522.5 nm; Spectral radiance, upward at 522.5 nm, standard deviation; Spectral radiance, upward at 525 nm; Spectral radiance, upward at 525 nm, standard deviation; Spectral radiance, upward at 527.5 nm; Spectral radiance, upward at 527.5 nm, standard deviation; Spectral radiance, upward at 530 nm; Spectral radiance, upward at 530 nm, standard deviation; Spectral radiance, upward at 532.5 nm; Spectral radiance, upward at 532.5 nm, standard deviation; Spectral radiance, upward at 535 nm; Spectral radiance, upward at 535 nm, standard deviation; Spectral radiance, upward at 537.5 nm; Spectral radiance, upward at 537.5 nm, standard deviation; Spectral radiance, upward at 540 nm; Spectral radiance, upward at 540 nm, standard deviation; Spectral radiance, upward at 542.5 nm; Spectral radiance, upward at 542.5 nm, standard deviation; Spectral radiance, upward at 545 nm; Spectral radiance, upward at 545 nm, standard deviation; Spectral radiance, upward at 547.5 nm; Spectral radiance, upward at 547.5 nm, standard deviation; Spectral radiance, upward at 550 nm; Spectral radiance, upward at 550 nm, standard deviation; Spectral radiance, upward at 552.5 nm; Spectral radiance, upward at 552.5 nm, standard deviation; Spectral radiance, upward at 555 nm; Spectral radiance, upward at 555 nm, standard deviation; Spectral radiance, upward at 557.5 nm; Spectral radiance, upward at 557.5 nm, standard deviation; Spectral radiance, upward at 560 nm; Spectral radiance, upward at 560 nm, standard deviation; Spectral radiance, upward at 562.5 nm; Spectral radiance, upward at 562.5 nm, standard deviation; Spectral radiance, upward at 565 nm; Spectral radiance, upward at 565 nm, standard deviation; Spectral radiance, upward at 567.5 nm; Spectral radiance, upward at 567.5 nm, standard deviation; Spectral radiance, upward at 570 nm; Spectral radiance, upward at 570 nm, standard deviation; Spectral radiance, upward at 572.5 nm; Spectral radiance, upward at 572.5 nm, standard deviation; Spectral radiance, upward at 575 nm; Spectral radiance, upward at 575 nm, standard
    Type: Dataset
    Format: text/tab-separated-values, 10650 data points
    Location Call Number Expected Availability
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  • 79
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Diving spectrometer, MMS-5; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; MMS5; Principal investigator; Sensor height above water level; Spectral scalar irradiance, downward at 350.6284 nm; Spectral scalar irradiance, downward at 353.9203 nm; Spectral scalar irradiance, downward at 357.2132 nm; Spectral scalar irradiance, downward at 360.507 nm; Spectral scalar irradiance, downward at 363.8015 nm; Spectral scalar irradiance, downward at 367.0969 nm; Spectral scalar irradiance, downward at 370.393 nm; Spectral scalar irradiance, downward at 373.6899 nm; Spectral scalar irradiance, downward at 376.9875 nm; Spectral scalar irradiance, downward at 380.2858 nm; Spectral scalar irradiance, downward at 383.5848 nm; Spectral scalar irradiance, downward at 386.8844 nm; Spectral scalar irradiance, downward at 390.1847 nm; Spectral scalar irradiance, downward at 393.4855 nm; Spectral scalar irradiance, downward at 396.7869 nm; Spectral scalar irradiance, downward at 400.0889 nm; Spectral scalar irradiance, downward at 403.3914 nm; Spectral scalar irradiance, downward at 406.6944 nm; Spectral scalar irradiance, downward at 409.9979 nm; Spectral scalar irradiance, downward at 413.3018 nm; Spectral scalar irradiance, downward at 416.6062 nm; Spectral scalar irradiance, downward at 419.911 nm; Spectral scalar irradiance, downward at 423.2162 nm; Spectral scalar irradiance, downward at 426.5218 nm; Spectral scalar irradiance, downward at 429.8277 nm; Spectral scalar irradiance, downward at 433.1339 nm; Spectral scalar irradiance, downward at 436.4404 nm; Spectral scalar irradiance, downward at 439.7472 nm; Spectral scalar irradiance, downward at 443.0543 nm; Spectral scalar irradiance, downward at 446.3616 nm; Spectral scalar irradiance, downward at 449.6691 nm; Spectral scalar irradiance, downward at 452.9768 nm; Spectral scalar irradiance, downward at 456.2847 nm; Spectral scalar irradiance, downward at 459.5927 nm; Spectral scalar irradiance, downward at 462.9008 nm; Spectral scalar irradiance, downward at 466.2091 nm; Spectral scalar irradiance, downward at 469.5175 nm; Spectral scalar irradiance, downward at 472.8259 nm; Spectral scalar irradiance, downward at 476.1343 nm; Spectral scalar irradiance, downward at 479.4428 nm; Spectral scalar irradiance, downward at 482.7513 nm; Spectral scalar irradiance, downward at 486.0598 nm; Spectral scalar irradiance, downward at 489.3683 nm; Spectral scalar irradiance, downward at 492.6768 nm; Spectral scalar irradiance, downward at 495.9851 nm; Spectral scalar irradiance, downward at 499.2934 nm; Spectral scalar irradiance, downward at 502.6015 nm; Spectral scalar irradiance, downward at 505.9095 nm; Spectral scalar irradiance, downward at 509.2174 nm; Spectral scalar irradiance, downward at 512.5252 nm; Spectral scalar irradiance, downward at 515.8328 nm; Spectral scalar irradiance, downward at 519.1401 nm; Spectral scalar irradiance, downward at 522.4473 nm; Spectral scalar irradiance, downward at 525.7542 nm; Spectral scalar irradiance, downward at 529.0608 nm; Spectral scalar irradiance, downward at 532.3672 nm; Spectral scalar irradiance, downward at 535.6733 nm; Spectral scalar irradiance, downward at 538.9791 nm; Spectral scalar irradiance, downward at 542.2846 nm; Spectral scalar irradiance, downward at 545.5898 nm; Spectral scalar irradiance, downward at 548.8946 nm; Spectral scalar irradiance, downward at 552.199 nm; Spectral scalar irradiance, downward at 555.5031 nm; Spectral scalar irradiance, downward at 558.8068 nm; Spectral scalar irradiance, downward at 562.11 nm; Spectral scalar irradiance, downward at 565.4128 nm; Spectral scalar irradiance, downward at 568.7153 nm; Spectral scalar irradiance, downward at 572.0172 nm; Spectral scalar irradiance, downward at 575.3186 nm; Spectral scalar irradiance, downward at 578.6196 nm; Spectral scalar irradiance, downward at 581.92 nm; Spectral scalar irradiance, downward at 585.22 nm; Spectral scalar irradiance, downward at 588.5193 nm; Spectral scalar irradiance, downward at 591.8182 nm; Spectral scalar irradiance, downward at 595.1165 nm; Spectral scalar irradiance, downward at 598.4142 nm; Spectral scalar irradiance, downward at 601.7113 nm; Spectral scalar irradiance, downward at 605.0079 nm; Spectral scalar irradiance, downward at 608.3038 nm; Spectral scalar irradiance, downward at 611.5991 nm; Spectral scalar irradiance, downward at 614.8937 nm; Spectral scalar irradiance, downward at 618.1877 nm; Spectral scalar irradiance, downward at 621.481 nm; Spectral scalar irradiance, downward at 624.7736 nm; Spectral scalar irradiance, downward at 628.0656 nm; Spectral scalar irradiance, downward at 631.3568 nm; Spectral scalar irradiance, downward at 634.6473 nm; Spectral scalar irradiance, downward at 637.9371 nm; Spectral scalar irradiance, downward at 641.2261 nm; Spectral scalar irradiance, downward at 644.5145 nm; Spectral scalar irradiance, downward at 647.8019 nm; Spectral scalar irradiance, downward at 651.0887 nm; Spectral scalar irradiance, downward at 654.3747 nm; Spectral scalar irradiance, downward at 657.6599 nm; Spectral scalar irradiance, downward at 660.9443 nm; Spectral scalar irradiance, downward at 664.2278 nm; Spectral scalar irradiance, downward at 667.5106 nm; Spectral scalar irradiance, downward at 670.7924 nm; Spectral scalar irradiance, downward at 674.0735 nm; Spectral scalar irradiance, downward at 677.3536 nm; Spectral scalar irradiance, downward at 680.6329 nm; Spectral scalar irradiance, downward at 683.9114 nm; Spectral scalar irradiance, downward at 687.189 nm; Spectral scalar irradiance, downward at 690.4656 nm; Spectral scalar irradiance, downward at 693.7413 nm; Spectral scalar irradiance, downward at 697.0162 nm; Spectral scalar irradiance, downward at 700.2901 nm; Spectral scalar irradiance, downward at 703.5631 nm; Spectral scalar irradiance, downward at 706.8351 nm; Spectral scalar irradiance, downward at 710.1062 nm; Spectral scalar irradiance, downward at 713.3763 nm; Spectral scalar irradiance, downward at 716.6456 nm; Spectral scalar irradiance, downward at 719.9138 nm; Spectral scalar irradiance, downward at 723.181 nm; Spectral scalar irradiance, downward at 726.4472 nm; Spectral scalar irradiance, downward at 729.7125 nm; Spectral scalar irradiance, downward at 732.9767 nm; Spectral scalar irradiance, downward at 736.24 nm; Spectral scalar irradiance, downward at 739.5022 nm; Spectral scalar irradiance, downward at 742.7634 nm; Spectral scalar irradiance, downward at 746.0236 nm; Spectral scalar irradiance, downward at 749.2828 nm; Spectral scalar irradiance, downward at 752.5409 nm; Spectral scalar irradiance, downward at 755.7979 nm; Spectral scalar irradiance, downward at 759.054 nm; Spectral scalar irradiance, downward at 762.3089 nm; Spectral scalar irradiance, downward at 765.5628 nm; Spectral scalar irradiance, downward at 768.8157 nm; Spectral scalar irradiance, downward at 772.0674 nm; Spectral scalar irradiance, downward at 775.3181 nm; Spectral scalar irradiance, downward at 778.5677 nm; Spectral scalar irradiance, downward at 781.8163 nm; Spectral scalar irradiance, downward at 785.0637 nm; Spectral scalar irradiance, downward at 788.3101 nm; Spectral scalar irradiance, downward at 791.5553 nm; Spectral scalar irradiance, downward at 794.7994 nm; Spectral scalar irradiance, downward at 798.0425 nm; Spectral scalar irradiance, downward at 801.2844 nm; Suessersee-0930_MMS5; Suessersee-0949_MMS5; Suessersee-1026_MMS5; Suessersee-1040_MMS5; Suessersee-1134_MMS5; Suessersee-1159_MMS5
    Type: Dataset
    Format: text/tab-separated-values, 13728 data points
    Location Call Number Expected Availability
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  • 80
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Diving spectrometer, MMS-5; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; MMS5; Principal investigator; Sensor height above water level; Spectral radiance, upward at 350.6284 nm; Spectral radiance, upward at 353.9203 nm; Spectral radiance, upward at 357.2132 nm; Spectral radiance, upward at 360.507 nm; Spectral radiance, upward at 363.8015 nm; Spectral radiance, upward at 367.0969 nm; Spectral radiance, upward at 370.393 nm; Spectral radiance, upward at 373.6899 nm; Spectral radiance, upward at 376.9875 nm; Spectral radiance, upward at 380.2858 nm; Spectral radiance, upward at 383.5848 nm; Spectral radiance, upward at 386.8844 nm; Spectral radiance, upward at 390.1847 nm; Spectral radiance, upward at 393.4855 nm; Spectral radiance, upward at 396.7869 nm; Spectral radiance, upward at 400.0889 nm; Spectral radiance, upward at 403.3914 nm; Spectral radiance, upward at 406.6944 nm; Spectral radiance, upward at 409.9979 nm; Spectral radiance, upward at 413.3018 nm; Spectral radiance, upward at 416.6062 nm; Spectral radiance, upward at 419.911 nm; Spectral radiance, upward at 423.2162 nm; Spectral radiance, upward at 426.5218 nm; Spectral radiance, upward at 429.8277 nm; Spectral radiance, upward at 433.1339 nm; Spectral radiance, upward at 436.4404 nm; Spectral radiance, upward at 439.7472 nm; Spectral radiance, upward at 443.0543 nm; Spectral radiance, upward at 446.3616 nm; Spectral radiance, upward at 449.6691 nm; Spectral radiance, upward at 452.9768 nm; Spectral radiance, upward at 456.2847 nm; Spectral radiance, upward at 459.5927 nm; Spectral radiance, upward at 462.9008 nm; Spectral radiance, upward at 466.2091 nm; Spectral radiance, upward at 469.5175 nm; Spectral radiance, upward at 472.8259 nm; Spectral radiance, upward at 476.1343 nm; Spectral radiance, upward at 479.4428 nm; Spectral radiance, upward at 482.7513 nm; Spectral radiance, upward at 486.0598 nm; Spectral radiance, upward at 489.3683 nm; Spectral radiance, upward at 492.6768 nm; Spectral radiance, upward at 495.9851 nm; Spectral radiance, upward at 499.2934 nm; Spectral radiance, upward at 502.6015 nm; Spectral radiance, upward at 505.9095 nm; Spectral radiance, upward at 509.2174 nm; Spectral radiance, upward at 512.5252 nm; Spectral radiance, upward at 515.8328 nm; Spectral radiance, upward at 519.1401 nm; Spectral radiance, upward at 522.4473 nm; Spectral radiance, upward at 525.7542 nm; Spectral radiance, upward at 529.0608 nm; Spectral radiance, upward at 532.3672 nm; Spectral radiance, upward at 535.6733 nm; Spectral radiance, upward at 538.9791 nm; Spectral radiance, upward at 542.2846 nm; Spectral radiance, upward at 545.5898 nm; Spectral radiance, upward at 548.8946 nm; Spectral radiance, upward at 552.199 nm; Spectral radiance, upward at 555.5031 nm; Spectral radiance, upward at 558.8068 nm; Spectral radiance, upward at 562.11 nm; Spectral radiance, upward at 565.4128 nm; Spectral radiance, upward at 568.7153 nm; Spectral radiance, upward at 572.0172 nm; Spectral radiance, upward at 575.3186 nm; Spectral radiance, upward at 578.6196 nm; Spectral radiance, upward at 581.92 nm; Spectral radiance, upward at 585.22 nm; Spectral radiance, upward at 588.5193 nm; Spectral radiance, upward at 591.8182 nm; Spectral radiance, upward at 595.1165 nm; Spectral radiance, upward at 598.4142 nm; Spectral radiance, upward at 601.7113 nm; Spectral radiance, upward at 605.0079 nm; Spectral radiance, upward at 608.3038 nm; Spectral radiance, upward at 611.5991 nm; Spectral radiance, upward at 614.8937 nm; Spectral radiance, upward at 618.1877 nm; Spectral radiance, upward at 621.481 nm; Spectral radiance, upward at 624.7736 nm; Spectral radiance, upward at 628.0656 nm; Spectral radiance, upward at 631.3568 nm; Spectral radiance, upward at 634.6473 nm; Spectral radiance, upward at 637.9371 nm; Spectral radiance, upward at 641.2261 nm; Spectral radiance, upward at 644.5145 nm; Spectral radiance, upward at 647.8019 nm; Spectral radiance, upward at 651.0887 nm; Spectral radiance, upward at 654.3747 nm; Spectral radiance, upward at 657.6599 nm; Spectral radiance, upward at 660.9443 nm; Spectral radiance, upward at 664.2278 nm; Spectral radiance, upward at 667.5106 nm; Spectral radiance, upward at 670.7924 nm; Spectral radiance, upward at 674.0735 nm; Spectral radiance, upward at 677.3536 nm; Spectral radiance, upward at 680.6329 nm; Spectral radiance, upward at 683.9114 nm; Spectral radiance, upward at 687.189 nm; Spectral radiance, upward at 690.4656 nm; Spectral radiance, upward at 693.7413 nm; Spectral radiance, upward at 697.0162 nm; Spectral radiance, upward at 700.2901 nm; Spectral radiance, upward at 703.5631 nm; Spectral radiance, upward at 706.8351 nm; Spectral radiance, upward at 710.1062 nm; Spectral radiance, upward at 713.3763 nm; Spectral radiance, upward at 716.6456 nm; Spectral radiance, upward at 719.9138 nm; Spectral radiance, upward at 723.181 nm; Spectral radiance, upward at 726.4472 nm; Spectral radiance, upward at 729.7125 nm; Spectral radiance, upward at 732.9767 nm; Spectral radiance, upward at 736.24 nm; Spectral radiance, upward at 739.5022 nm; Spectral radiance, upward at 742.7634 nm; Spectral radiance, upward at 746.0236 nm; Spectral radiance, upward at 749.2828 nm; Spectral radiance, upward at 752.5409 nm; Spectral radiance, upward at 755.7979 nm; Spectral radiance, upward at 759.054 nm; Spectral radiance, upward at 762.3089 nm; Spectral radiance, upward at 765.5628 nm; Spectral radiance, upward at 768.8157 nm; Spectral radiance, upward at 772.0674 nm; Spectral radiance, upward at 775.3181 nm; Spectral radiance, upward at 778.5677 nm; Spectral radiance, upward at 781.8163 nm; Spectral radiance, upward at 785.0637 nm; Spectral radiance, upward at 788.3101 nm; Spectral radiance, upward at 791.5553 nm; Spectral radiance, upward at 794.7994 nm; Spectral radiance, upward at 798.0425 nm; Spectral radiance, upward at 801.2844 nm; Suessersee-0930_MMS5; Suessersee-0949_MMS5; Suessersee-1026_MMS5; Suessersee-1040_MMS5; Suessersee-1134_MMS5; Suessersee-1159_MMS5
    Type: Dataset
    Format: text/tab-separated-values, 13728 data points
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  • 81
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Sensor height above water level; Spectral irradiance, downward at 1000.518 nm; Spectral irradiance, downward at 1001.304 nm; Spectral irradiance, downward at 1002.091 nm; Spectral irradiance, downward at 1002.877 nm; Spectral irradiance, downward at 1003.664 nm; Spectral irradiance, downward at 1004.45 nm; Spectral irradiance, downward at 1005.236 nm; Spectral irradiance, downward at 1006.023 nm; Spectral irradiance, downward at 1006.809 nm; Spectral irradiance, downward at 1007.595 nm; Spectral irradiance, downward at 1008.381 nm; Spectral irradiance, downward at 1009.167 nm; Spectral irradiance, downward at 1009.953 nm; Spectral irradiance, downward at 1010.738 nm; Spectral irradiance, downward at 1011.524 nm; Spectral irradiance, downward at 1012.31 nm; Spectral irradiance, downward at 1013.095 nm; Spectral irradiance, downward at 1013.881 nm; Spectral irradiance, downward at 1014.666 nm; Spectral irradiance, downward at 1015.451 nm; Spectral irradiance, downward at 1016.237 nm; Spectral irradiance, downward at 1017.022 nm; Spectral irradiance, downward at 1017.807 nm; Spectral irradiance, downward at 1018.592 nm; Spectral irradiance, downward at 1019.377 nm; Spectral irradiance, downward at 1020.162 nm; Spectral irradiance, downward at 353.585 nm; Spectral irradiance, downward at 354.408 nm; Spectral irradiance, downward at 355.231 nm; Spectral irradiance, downward at 356.055 nm; Spectral irradiance, downward at 356.878 nm; Spectral irradiance, downward at 357.702 nm; Spectral irradiance, downward at 358.525 nm; Spectral irradiance, downward at 359.348 nm; Spectral irradiance, downward at 360.172 nm; Spectral irradiance, downward at 360.995 nm; Spectral irradiance, downward at 361.818 nm; Spectral irradiance, downward at 362.642 nm; Spectral irradiance, downward at 363.465 nm; Spectral irradiance, downward at 364.288 nm; Spectral irradiance, downward at 365.111 nm; Spectral irradiance, downward at 365.935 nm; Spectral irradiance, downward at 366.758 nm; Spectral irradiance, downward at 367.581 nm; Spectral irradiance, downward at 368.405 nm; Spectral irradiance, downward at 369.228 nm; Spectral irradiance, downward at 370.051 nm; Spectral irradiance, downward at 370.874 nm; Spectral irradiance, downward at 371.698 nm; Spectral irradiance, downward at 372.521 nm; Spectral irradiance, downward at 373.344 nm; Spectral irradiance, downward at 374.167 nm; Spectral irradiance, downward at 374.991 nm; Spectral irradiance, downward at 375.814 nm; Spectral irradiance, downward at 376.637 nm; Spectral irradiance, downward at 377.46 nm; Spectral irradiance, downward at 378.283 nm; Spectral irradiance, downward at 379.106 nm; Spectral irradiance, downward at 379.93 nm; Spectral irradiance, downward at 380.753 nm; Spectral irradiance, downward at 381.576 nm; Spectral irradiance, downward at 382.399 nm; Spectral irradiance, downward at 383.222 nm; Spectral irradiance, downward at 384.045 nm; Spectral irradiance, downward at 384.868 nm; Spectral irradiance, downward at 385.692 nm; Spectral irradiance, downward at 386.515 nm; Spectral irradiance, downward at 387.338 nm; Spectral irradiance, downward at 388.161 nm; Spectral irradiance, downward at 388.984 nm; Spectral irradiance, downward at 389.807 nm; Spectral irradiance, downward at 390.63 nm; Spectral irradiance, downward at 391.453 nm; Spectral irradiance, downward at 392.276 nm; Spectral irradiance, downward at 393.099 nm; Spectral irradiance, downward at 393.922 nm; Spectral irradiance, downward at 394.745 nm; Spectral irradiance, downward at 395.568 nm; Spectral irradiance, downward at 396.391 nm; Spectral irradiance, downward at 397.214 nm; Spectral irradiance, downward at 398.037 nm; Spectral irradiance, downward at 398.86 nm; Spectral irradiance, downward at 399.683 nm; Spectral irradiance, downward at 400.506 nm; Spectral irradiance, downward at 401.329 nm; Spectral irradiance, downward at 402.152 nm; Spectral irradiance, downward at 402.974 nm; Spectral irradiance, downward at 403.797 nm; Spectral irradiance, downward at 404.62 nm; Spectral irradiance, downward at 405.443 nm; Spectral irradiance, downward at 406.266 nm; Spectral irradiance, downward at 407.089 nm; Spectral irradiance, downward at 407.911 nm; Spectral irradiance, downward at 408.734 nm; Spectral irradiance, downward at 409.557 nm; Spectral irradiance, downward at 410.38 nm; Spectral irradiance, downward at 411.203 nm; Spectral irradiance, downward at 412.025 nm; Spectral irradiance, downward at 412.848 nm; Spectral irradiance, downward at 413.671 nm; Spectral irradiance, downward at 414.493 nm; Spectral irradiance, downward at 415.316 nm; Spectral irradiance, downward at 416.139 nm; Spectral irradiance, downward at 416.961 nm; Spectral irradiance, downward at 417.784 nm; Spectral irradiance, downward at 418.607 nm; Spectral irradiance, downward at 419.429 nm; Spectral irradiance, downward at 420.252 nm; Spectral irradiance, downward at 421.074 nm; Spectral irradiance, downward at 421.897 nm; Spectral irradiance, downward at 422.72 nm; Spectral irradiance, downward at 423.542 nm; Spectral irradiance, downward at 424.365 nm; Spectral irradiance, downward at 425.187 nm; Spectral irradiance, downward at 426.01 nm; Spectral irradiance, downward at 426.832 nm; Spectral irradiance, downward at 427.655 nm; Spectral irradiance, downward at 428.477 nm; Spectral irradiance, downward at 429.299 nm; Spectral irradiance, downward at 430.122 nm; Spectral irradiance, downward at 430.944 nm; Spectral irradiance, downward at 431.767 nm; Spectral irradiance, downward at 432.589 nm; Spectral irradiance, downward at 433.411 nm; Spectral irradiance, downward at 434.234 nm; Spectral irradiance, downward at 435.056 nm; Spectral irradiance, downward at 435.878 nm; Spectral irradiance, downward at 436.7 nm; Spectral irradiance, downward at 437.523 nm; Spectral irradiance, downward at 438.345 nm; Spectral irradiance, downward at 439.167 nm; Spectral irradiance, downward at 439.989 nm; Spectral irradiance, downward at 440.811 nm; Spectral irradiance, downward at 441.634 nm; Spectral irradiance, downward at 442.456 nm; Spectral irradiance, downward at 443.278 nm; Spectral irradiance, downward at 444.1 nm; Spectral irradiance, downward at 444.922 nm; Spectral irradiance, downward at 445.744 nm; Spectral irradiance, downward at 446.566 nm; Spectral irradiance, downward at 447.388 nm; Spectral irradiance, downward at 448.21 nm; Spectral irradiance, downward at 449.032 nm; Spectral irradiance, downward at 449.854 nm; Spectral irradiance, downward at 450.676 nm; Spectral irradiance, downward at 451.498 nm; Spectral irradiance, downward at 452.32 nm; Spectral irradiance, downward at 453.142 nm; Spectral irradiance, downward at 453.964 nm; Spectral irradiance, downward at 454.786 nm; Spectral irradiance, downward at 455.608 nm; Spectral irradiance, downward at 456.429 nm; Spectral irradiance, downward at 457.251 nm; Spectral irradiance, downward at 458.073 nm; Spectral irradiance, downward at 458.895 nm; Spectral irradiance, downward at 459.716 nm; Spectral irradiance, downward at 460.538 nm; Spectral irradiance, downward at 461.36 nm; Spectral irradiance, downward at 462.181 nm; Spectral irradiance, downward at 463.003 nm; Spectral irradiance, downward at 463.825 nm; Spectral irradiance, downward at 464.646 nm; Spectral irradiance, downward at 465.468 nm; Spectral irradiance, downward at 466.289 nm; Spectral irradiance, downward at 467.111 nm; Spectral irradiance, downward at 467.933 nm; Spectral irradiance, downward at 468.754 nm; Spectral irradiance, downward at 469.576 nm; Spectral irradiance, downward at 470.397 nm; Spectral irradiance, downward at 471.218 nm; Spectral irradiance, downward at 472.04 nm; Spectral irradiance, downward at 472.861 nm; Spectral irradiance, downward at 473.683 nm; Spectral irradiance, downward at 474.
    Type: Dataset
    Format: text/tab-separated-values, 84660 data points
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  • 82
    Publication Date: 2023-07-03
    Description: Radiometric measurement with Trios Ramses system. All Trios measurements averaged over reliable common times. The viewing zenith angle was approx. 45°. The surface reflectance factors rho are only given for 40 or 50°. If rho is to high, there is an overcorrection of Lw and Rrs. For this three methods for correction are applied: constant factor rho, Mobley 1999 and Mobley 2015 (Mobley 1999 related to 50°, Mobley 2015 related to 40°).
    Keywords: Angle; DATE/TIME; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Rappbode-YT1-0800_RAMSES2; Rappbode-YT6-1114_RAMSES2; Rappbode-YTMETE-1045_RAMSES2; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 382.5 nm; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 387.5 nm; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 392.5 nm; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 397.5 nm; Remote sensing reflectance at 400 nm; Remote sensing reflectance at 402.5 nm; Remote sensing reflectance at 405 nm; Remote sensing reflectance at 407.5 nm; Remote sensing reflectance at 410 nm; Remote sensing reflectance at 412.5 nm; Remote sensing reflectance at 415 nm; Remote sensing reflectance at 417.5 nm; Remote sensing reflectance at 420 nm; Remote sensing reflectance at 422.5 nm; Remote sensing reflectance at 425 nm; Remote sensing reflectance at 427.5 nm; Remote sensing reflectance at 430 nm; Remote sensing reflectance at 432.5 nm; Remote sensing reflectance at 435 nm; Remote sensing reflectance at 437.5 nm; Remote sensing reflectance at 440 nm; Remote sensing reflectance at 442.5 nm; Remote sensing reflectance at 445 nm; Remote sensing reflectance at 447.5 nm; Remote sensing reflectance at 450 nm; Remote sensing reflectance at 452.5 nm; Remote sensing reflectance at 455 nm; Remote sensing reflectance at 457.5 nm; Remote sensing reflectance at 460 nm; Remote sensing reflectance at 462.5 nm; Remote sensing reflectance at 465 nm; Remote sensing reflectance at 467.5 nm; Remote sensing reflectance at 470 nm; Remote sensing reflectance at 472.5 nm; Remote sensing reflectance at 475 nm; Remote sensing reflectance at 477.5 nm; Remote sensing reflectance at 480 nm; Remote sensing reflectance at 482.5 nm; Remote sensing reflectance at 485 nm; Remote sensing reflectance at 487.5 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 492.5 nm; Remote sensing reflectance at 495 nm; Remote sensing reflectance at 497.5 nm; Remote sensing reflectance at 500 nm; Remote sensing reflectance at 502.5 nm; Remote sensing reflectance at 505 nm; Remote sensing reflectance at 507.5 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 512.5 nm; Remote sensing reflectance at 515 nm; Remote sensing reflectance at 517.5 nm; Remote sensing reflectance at 520 nm; Remote sensing reflectance at 522.5 nm; Remote sensing reflectance at 525 nm; Remote sensing reflectance at 527.5 nm; Remote sensing reflectance at 530 nm; Remote sensing reflectance at 532.5 nm; Remote sensing reflectance at 535 nm; Remote sensing reflectance at 537.5 nm; Remote sensing reflectance at 540 nm; Remote sensing reflectance at 542.5 nm; Remote sensing reflectance at 545 nm; Remote sensing reflectance at 547.5 nm; Remote sensing reflectance at 550 nm; Remote sensing reflectance at 552.5 nm; Remote sensing reflectance at 555 nm; Remote sensing reflectance at 557.5 nm; Remote sensing reflectance at 560 nm; Remote sensing reflectance at 562.5 nm; Remote sensing reflectance at 565 nm; Remote sensing reflectance at 567.5 nm; Remote sensing reflectance at 570 nm; Remote sensing reflectance at 572.5 nm; Remote sensing reflectance at 575 nm; Remote sensing reflectance at 577.5 nm; Remote sensing reflectance at 580 nm; Remote sensing reflectance at 582.5 nm; Remote sensing reflectance at 585 nm; Remote sensing reflectance at 587.5 nm; Remote sensing reflectance at 590 nm; Remote sensing reflectance at 592.5 nm; Remote sensing reflectance at 595 nm; Remote sensing reflectance at 597.5 nm; Remote sensing reflectance at 600 nm; Remote sensing reflectance at 602.5 nm; Remote sensing reflectance at 605 nm; Remote sensing reflectance at 607.5 nm; Remote sensing reflectance at 610 nm; Remote sensing reflectance at 612.5 nm; Remote sensing reflectance at 615 nm; Remote sensing reflectance at 617.5 nm; Remote sensing reflectance at 620 nm; Remote sensing reflectance at 622.5 nm; Remote sensing reflectance at 625 nm; Remote sensing reflectance at 627.5 nm; Remote sensing reflectance at 630 nm; Remote sensing reflectance at 632.5 nm; Remote sensing reflectance at 635 nm; Remote sensing reflectance at 637.5 nm; Remote sensing reflectance at 640 nm; Remote sensing reflectance at 642.5 nm; Remote sensing reflectance at 645 nm; Remote sensing reflectance at 647.5 nm; Remote sensing reflectance at 650 nm; Remote sensing reflectance at 652.5 nm; Remote sensing reflectance at 655 nm; Remote sensing reflectance at 657.5 nm; Remote sensing reflectance at 660 nm; Remote sensing reflectance at 662.5 nm; Remote sensing reflectance at 665 nm; Remote sensing reflectance at 667.5 nm; Remote sensing reflectance at 670 nm; Remote sensing reflectance at 672.5 nm; Remote sensing reflectance at 675 nm; Remote sensing reflectance at 677.5 nm; Remote sensing reflectance at 680 nm; Remote sensing reflectance at 682.5 nm; Remote sensing reflectance at 685 nm; Remote sensing reflectance at 687.5 nm; Remote sensing reflectance at 690 nm; Remote sensing reflectance at 692.5 nm; Remote sensing reflectance at 695 nm; Remote sensing reflectance at 697.5 nm; Remote sensing reflectance at 700 nm; Remote sensing reflectance at 702.5 nm; Remote sensing reflectance at 705 nm; Remote sensing reflectance at 707.5 nm; Remote sensing reflectance at 710 nm; Remote sensing reflectance at 712.5 nm; Remote sensing reflectance at 715 nm; Remote sensing reflectance at 717.5 nm; Remote sensing reflectance at 720 nm; Remote sensing reflectance at 722.5 nm; Remote sensing reflectance at 725 nm; Remote sensing reflectance at 727.5 nm; Remote sensing reflectance at 730 nm; Remote sensing reflectance at 732.5 nm; Remote sensing reflectance at 735 nm; Remote sensing reflectance at 737.5 nm; Remote sensing reflectance at 740 nm; Remote sensing reflectance at 742.5 nm; Remote sensing reflectance at 745 nm; Remote sensing reflectance at 747.5 nm; Remote sensing reflectance at 750 nm; Remote sensing reflectance at 752.5 nm; Remote sensing reflectance at 755 nm; Remote sensing reflectance at 757.5 nm; Remote sensing reflectance at 760 nm; Remote sensing reflectance at 762.5 nm; Remote sensing reflectance at 765 nm; Remote sensing reflectance at 767.5 nm; Remote sensing reflectance at 770 nm; Remote sensing reflectance at 772.5 nm; Remote sensing reflectance at 775 nm; Remote sensing reflectance at 777.5 nm; Remote sensing reflectance at 780 nm; Remote sensing reflectance at 782.5 nm; Remote sensing reflectance at 785 nm; Remote sensing reflectance at 787.5 nm; Remote sensing reflectance at 790 nm; Remote sensing reflectance at 792.5 nm; Remote sensing reflectance at 795 nm; Remote sensing reflectance at 797.5 nm; Remote sensing reflectance at 800 nm; Remote sensing reflectance at 802.5 nm; Remote sensing reflectance at 805 nm; Remote sensing reflectance at 807.5 nm; Remote sensing reflectance at 810 nm; Remote sensing reflectance at 812.5 nm; Remote sensing reflectance at 815 nm; Remote sensing reflectance at 817.5 nm; Remote sensing reflectance at 820 nm; Remote sensing reflectance at 822.5 nm; Remote sensing reflectance at 825 nm; Remote sensing reflectance at 827.5 nm; Remote sensing reflectance at 830 nm; Remote sensing reflectance at 832.5 nm; Remote sensing reflectance at 835 nm; Remote sensing reflectance at 837.5 nm; Remote sensing reflectance at 840 nm; Remote sensing reflectance at 842.5 nm; Remote sensing reflectance at 845 nm; Remote sensing reflectance at 847.5 nm; Remote sensing reflectance at 850 nm; Remote sensing reflectance at 852.5 nm; Remote sensing reflectance at 855 nm; Remote sensing reflectance at 857.5 nm; Remote sensing reflectance at 860 nm; Remote sensing reflectance at 862.5 nm; Remote sensing reflectance at 865 nm; Remote sensing reflectance at 867.5 nm; Remote sensing reflectance at 870 nm; Remote sensing reflectance
    Type: Dataset
    Format: text/tab-separated-values, 856 data points
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  • 83
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Sensor height above water level; Spectral radiance, upward at 380 nm; Spectral radiance, upward at 380 nm, standard deviation; Spectral radiance, upward at 382.5 nm; Spectral radiance, upward at 382.5 nm, standard deviation; Spectral radiance, upward at 385 nm; Spectral radiance, upward at 385 nm, standard deviation; Spectral radiance, upward at 387.5 nm; Spectral radiance, upward at 387.5 nm, standard deviation; Spectral radiance, upward at 390 nm; Spectral radiance, upward at 390 nm, standard deviation; Spectral radiance, upward at 392.5 nm; Spectral radiance, upward at 392.5 nm, standard deviation; Spectral radiance, upward at 395 nm; Spectral radiance, upward at 395 nm, standard deviation; Spectral radiance, upward at 397.5 nm; Spectral radiance, upward at 397.5 nm, standard deviation; Spectral radiance, upward at 400 nm; Spectral radiance, upward at 400 nm, standard deviation; Spectral radiance, upward at 402.5 nm; Spectral radiance, upward at 402.5 nm, standard deviation; Spectral radiance, upward at 405 nm; Spectral radiance, upward at 405 nm, standard deviation; Spectral radiance, upward at 407.5 nm; Spectral radiance, upward at 407.5 nm, standard deviation; Spectral radiance, upward at 410 nm; Spectral radiance, upward at 410 nm, standard deviation; Spectral radiance, upward at 412.5 nm; Spectral radiance, upward at 412.5 nm, standard deviation; Spectral radiance, upward at 415 nm; Spectral radiance, upward at 415 nm, standard deviation; Spectral radiance, upward at 417.5 nm; Spectral radiance, upward at 417.5 nm, standard deviation; Spectral radiance, upward at 420 nm; Spectral radiance, upward at 420 nm, standard deviation; Spectral radiance, upward at 422.5 nm; Spectral radiance, upward at 422.5 nm, standard deviation; Spectral radiance, upward at 425 nm; Spectral radiance, upward at 425 nm, standard deviation; Spectral radiance, upward at 427.5 nm; Spectral radiance, upward at 427.5 nm, standard deviation; Spectral radiance, upward at 430 nm; Spectral radiance, upward at 430 nm, standard deviation; Spectral radiance, upward at 432.5 nm; Spectral radiance, upward at 432.5 nm, standard deviation; Spectral radiance, upward at 435 nm; Spectral radiance, upward at 435 nm, standard deviation; Spectral radiance, upward at 437.5 nm; Spectral radiance, upward at 437.5 nm, standard deviation; Spectral radiance, upward at 440 nm; Spectral radiance, upward at 440 nm, standard deviation; Spectral radiance, upward at 442.5 nm; Spectral radiance, upward at 442.5 nm, standard deviation; Spectral radiance, upward at 445 nm; Spectral radiance, upward at 445 nm, standard deviation; Spectral radiance, upward at 447.5 nm; Spectral radiance, upward at 447.5 nm, standard deviation; Spectral radiance, upward at 450 nm; Spectral radiance, upward at 450 nm, standard deviation; Spectral radiance, upward at 452.5 nm; Spectral radiance, upward at 452.5 nm, standard deviation; Spectral radiance, upward at 455 nm; Spectral radiance, upward at 455 nm, standard deviation; Spectral radiance, upward at 457.5 nm; Spectral radiance, upward at 457.5 nm, standard deviation; Spectral radiance, upward at 460 nm; Spectral radiance, upward at 460 nm, standard deviation; Spectral radiance, upward at 462.5 nm; Spectral radiance, upward at 462.5 nm, standard deviation; Spectral radiance, upward at 465 nm; Spectral radiance, upward at 465 nm, standard deviation; Spectral radiance, upward at 467.5 nm; Spectral radiance, upward at 467.5 nm, standard deviation; Spectral radiance, upward at 470 nm; Spectral radiance, upward at 470 nm, standard deviation; Spectral radiance, upward at 472.5 nm; Spectral radiance, upward at 472.5 nm, standard deviation; Spectral radiance, upward at 475 nm; Spectral radiance, upward at 475 nm, standard deviation; Spectral radiance, upward at 477.5 nm; Spectral radiance, upward at 477.5 nm, standard deviation; Spectral radiance, upward at 480 nm; Spectral radiance, upward at 480 nm, standard deviation; Spectral radiance, upward at 482.5 nm; Spectral radiance, upward at 482.5 nm, standard deviation; Spectral radiance, upward at 485 nm; Spectral radiance, upward at 485 nm, standard deviation; Spectral radiance, upward at 487.5 nm; Spectral radiance, upward at 487.5 nm, standard deviation; Spectral radiance, upward at 490 nm; Spectral radiance, upward at 490 nm, standard deviation; Spectral radiance, upward at 492.5 nm; Spectral radiance, upward at 492.5 nm, standard deviation; Spectral radiance, upward at 495 nm; Spectral radiance, upward at 495 nm, standard deviation; Spectral radiance, upward at 497.5 nm; Spectral radiance, upward at 497.5 nm, standard deviation; Spectral radiance, upward at 500 nm; Spectral radiance, upward at 500 nm, standard deviation; Spectral radiance, upward at 502.5 nm; Spectral radiance, upward at 502.5 nm, standard deviation; Spectral radiance, upward at 505 nm; Spectral radiance, upward at 505 nm, standard deviation; Spectral radiance, upward at 507.5 nm; Spectral radiance, upward at 507.5 nm, standard deviation; Spectral radiance, upward at 510 nm; Spectral radiance, upward at 510 nm, standard deviation; Spectral radiance, upward at 512.5 nm; Spectral radiance, upward at 512.5 nm, standard deviation; Spectral radiance, upward at 515 nm; Spectral radiance, upward at 515 nm, standard deviation; Spectral radiance, upward at 517.5 nm; Spectral radiance, upward at 517.5 nm, standard deviation; Spectral radiance, upward at 520 nm; Spectral radiance, upward at 520 nm, standard deviation; Spectral radiance, upward at 522.5 nm; Spectral radiance, upward at 522.5 nm, standard deviation; Spectral radiance, upward at 525 nm; Spectral radiance, upward at 525 nm, standard deviation; Spectral radiance, upward at 527.5 nm; Spectral radiance, upward at 527.5 nm, standard deviation; Spectral radiance, upward at 530 nm; Spectral radiance, upward at 530 nm, standard deviation; Spectral radiance, upward at 532.5 nm; Spectral radiance, upward at 532.5 nm, standard deviation; Spectral radiance, upward at 535 nm; Spectral radiance, upward at 535 nm, standard deviation; Spectral radiance, upward at 537.5 nm; Spectral radiance, upward at 537.5 nm, standard deviation; Spectral radiance, upward at 540 nm; Spectral radiance, upward at 540 nm, standard deviation; Spectral radiance, upward at 542.5 nm; Spectral radiance, upward at 542.5 nm, standard deviation; Spectral radiance, upward at 545 nm; Spectral radiance, upward at 545 nm, standard deviation; Spectral radiance, upward at 547.5 nm; Spectral radiance, upward at 547.5 nm, standard deviation; Spectral radiance, upward at 550 nm; Spectral radiance, upward at 550 nm, standard deviation; Spectral radiance, upward at 552.5 nm; Spectral radiance, upward at 552.5 nm, standard deviation; Spectral radiance, upward at 555 nm; Spectral radiance, upward at 555 nm, standard deviation; Spectral radiance, upward at 557.5 nm; Spectral radiance, upward at 557.5 nm, standard deviation; Spectral radiance, upward at 560 nm; Spectral radiance, upward at 560 nm, standard deviation; Spectral radiance, upward at 562.5 nm; Spectral radiance, upward at 562.5 nm, standard deviation; Spectral radiance, upward at 565 nm; Spectral radiance, upward at 565 nm, standard deviation; Spectral radiance, upward at 567.5 nm; Spectral radiance, upward at 567.5 nm, standard deviation; Spectral radiance, upward at 570 nm; Spectral radiance, upward at 570 nm, standard deviation; Spectral radiance, upward at 572.5 nm; Spectral radiance, upward at 572.5 nm, standard deviation; Spectral radiance, upward at 575 nm; Spectral radiance, upward at 575 nm, standard deviation; Spectral radiance, upward at 577.5 nm; Spectral radiance, upward at 577.5 nm, standard deviation; Spectral radiance, upward at 580 nm; Spectral radiance,
    Type: Dataset
    Format: text/tab-separated-values, 4686 data points
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  • 84
    Publication Date: 2023-07-03
    Description: Radiometric measurement with Trios Ramses system. All Trios measurements averaged over reliable common times. The viewing zenith angle was approx. 45°. The surface reflectance factors rho are only given for 40 or 50°. If rho is to high, there is an overcorrection of Lw and Rrs. For this three methods for correction are applied: constant factor rho, Mobley 1999 and Mobley 2015 (Mobley 1999 related to 50°, Mobley 2015 related to 40°).
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Rappbode-YT1-0800_RAMSES2; Rappbode-YT1-0800B_RAMSES2; Rappbode-YT6-1114_RAMSES2; Rappbode-YTMETE-1045_RAMSES2; Sensor height above water level; Spectral radiance, upward at 380 nm; Spectral radiance, upward at 380 nm, standard deviation; Spectral radiance, upward at 382.5 nm; Spectral radiance, upward at 382.5 nm, standard deviation; Spectral radiance, upward at 385 nm; Spectral radiance, upward at 385 nm, standard deviation; Spectral radiance, upward at 387.5 nm; Spectral radiance, upward at 387.5 nm, standard deviation; Spectral radiance, upward at 390 nm; Spectral radiance, upward at 390 nm, standard deviation; Spectral radiance, upward at 392.5 nm; Spectral radiance, upward at 392.5 nm, standard deviation; Spectral radiance, upward at 395 nm; Spectral radiance, upward at 395 nm, standard deviation; Spectral radiance, upward at 397.5 nm; Spectral radiance, upward at 397.5 nm, standard deviation; Spectral radiance, upward at 400 nm; Spectral radiance, upward at 400 nm, standard deviation; Spectral radiance, upward at 402.5 nm; Spectral radiance, upward at 402.5 nm, standard deviation; Spectral radiance, upward at 405 nm; Spectral radiance, upward at 405 nm, standard deviation; Spectral radiance, upward at 407.5 nm; Spectral radiance, upward at 407.5 nm, standard deviation; Spectral radiance, upward at 410 nm; Spectral radiance, upward at 410 nm, standard deviation; Spectral radiance, upward at 412.5 nm; Spectral radiance, upward at 412.5 nm, standard deviation; Spectral radiance, upward at 415 nm; Spectral radiance, upward at 415 nm, standard deviation; Spectral radiance, upward at 417.5 nm; Spectral radiance, upward at 417.5 nm, standard deviation; Spectral radiance, upward at 420 nm; Spectral radiance, upward at 420 nm, standard deviation; Spectral radiance, upward at 422.5 nm; Spectral radiance, upward at 422.5 nm, standard deviation; Spectral radiance, upward at 425 nm; Spectral radiance, upward at 425 nm, standard deviation; Spectral radiance, upward at 427.5 nm; Spectral radiance, upward at 427.5 nm, standard deviation; Spectral radiance, upward at 430 nm; Spectral radiance, upward at 430 nm, standard deviation; Spectral radiance, upward at 432.5 nm; Spectral radiance, upward at 432.5 nm, standard deviation; Spectral radiance, upward at 435 nm; Spectral radiance, upward at 435 nm, standard deviation; Spectral radiance, upward at 437.5 nm; Spectral radiance, upward at 437.5 nm, standard deviation; Spectral radiance, upward at 440 nm; Spectral radiance, upward at 440 nm, standard deviation; Spectral radiance, upward at 442.5 nm; Spectral radiance, upward at 442.5 nm, standard deviation; Spectral radiance, upward at 445 nm; Spectral radiance, upward at 445 nm, standard deviation; Spectral radiance, upward at 447.5 nm; Spectral radiance, upward at 447.5 nm, standard deviation; Spectral radiance, upward at 450 nm; Spectral radiance, upward at 450 nm, standard deviation; Spectral radiance, upward at 452.5 nm; Spectral radiance, upward at 452.5 nm, standard deviation; Spectral radiance, upward at 455 nm; Spectral radiance, upward at 455 nm, standard deviation; Spectral radiance, upward at 457.5 nm; Spectral radiance, upward at 457.5 nm, standard deviation; Spectral radiance, upward at 460 nm; Spectral radiance, upward at 460 nm, standard deviation; Spectral radiance, upward at 462.5 nm; Spectral radiance, upward at 462.5 nm, standard deviation; Spectral radiance, upward at 465 nm; Spectral radiance, upward at 465 nm, standard deviation; Spectral radiance, upward at 467.5 nm; Spectral radiance, upward at 467.5 nm, standard deviation; Spectral radiance, upward at 470 nm; Spectral radiance, upward at 470 nm, standard deviation; Spectral radiance, upward at 472.5 nm; Spectral radiance, upward at 472.5 nm, standard deviation; Spectral radiance, upward at 475 nm; Spectral radiance, upward at 475 nm, standard deviation; Spectral radiance, upward at 477.5 nm; Spectral radiance, upward at 477.5 nm, standard deviation; Spectral radiance, upward at 480 nm; Spectral radiance, upward at 480 nm, standard deviation; Spectral radiance, upward at 482.5 nm; Spectral radiance, upward at 482.5 nm, standard deviation; Spectral radiance, upward at 485 nm; Spectral radiance, upward at 485 nm, standard deviation; Spectral radiance, upward at 487.5 nm; Spectral radiance, upward at 487.5 nm, standard deviation; Spectral radiance, upward at 490 nm; Spectral radiance, upward at 490 nm, standard deviation; Spectral radiance, upward at 492.5 nm; Spectral radiance, upward at 492.5 nm, standard deviation; Spectral radiance, upward at 495 nm; Spectral radiance, upward at 495 nm, standard deviation; Spectral radiance, upward at 497.5 nm; Spectral radiance, upward at 497.5 nm, standard deviation; Spectral radiance, upward at 500 nm; Spectral radiance, upward at 500 nm, standard deviation; Spectral radiance, upward at 502.5 nm; Spectral radiance, upward at 502.5 nm, standard deviation; Spectral radiance, upward at 505 nm; Spectral radiance, upward at 505 nm, standard deviation; Spectral radiance, upward at 507.5 nm; Spectral radiance, upward at 507.5 nm, standard deviation; Spectral radiance, upward at 510 nm; Spectral radiance, upward at 510 nm, standard deviation; Spectral radiance, upward at 512.5 nm; Spectral radiance, upward at 512.5 nm, standard deviation; Spectral radiance, upward at 515 nm; Spectral radiance, upward at 515 nm, standard deviation; Spectral radiance, upward at 517.5 nm; Spectral radiance, upward at 517.5 nm, standard deviation; Spectral radiance, upward at 520 nm; Spectral radiance, upward at 520 nm, standard deviation; Spectral radiance, upward at 522.5 nm; Spectral radiance, upward at 522.5 nm, standard deviation; Spectral radiance, upward at 525 nm; Spectral radiance, upward at 525 nm, standard deviation; Spectral radiance, upward at 527.5 nm; Spectral radiance, upward at 527.5 nm, standard deviation; Spectral radiance, upward at 530 nm; Spectral radiance, upward at 530 nm, standard deviation; Spectral radiance, upward at 532.5 nm; Spectral radiance, upward at 532.5 nm, standard deviation; Spectral radiance, upward at 535 nm; Spectral radiance, upward at 535 nm, standard deviation; Spectral radiance, upward at 537.5 nm; Spectral radiance, upward at 537.5 nm, standard deviation; Spectral radiance, upward at 540 nm; Spectral radiance, upward at 540 nm, standard deviation; Spectral radiance, upward at 542.5 nm; Spectral radiance, upward at 542.5 nm, standard deviation; Spectral radiance, upward at 545 nm; Spectral radiance, upward at 545 nm, standard deviation; Spectral radiance, upward at 547.5 nm; Spectral radiance, upward at 547.5 nm, standard deviation; Spectral radiance, upward at 550 nm; Spectral radiance, upward at 550 nm, standard deviation; Spectral radiance, upward at 552.5 nm; Spectral radiance, upward at 552.5 nm, standard deviation; Spectral radiance, upward at 555 nm; Spectral radiance, upward at 555 nm, standard deviation; Spectral radiance, upward at 557.5 nm; Spectral radiance, upward at 557.5 nm, standard deviation; Spectral radiance, upward at 560 nm; Spectral radiance, upward at 560 nm, standard deviation; Spectral radiance, upward at 562.5 nm; Spectral radiance, upward at 562.5 nm, standard deviation; Spectral radiance, upward at 565 nm; Spectral radiance, upward at 565 nm, standard deviation; Spectral radiance, upward at 567.5 nm; Spectral radiance, upward at 567.5 nm, standard deviation; Spectral radiance, upward at 570 nm; Spectral radiance, upward at 570 nm, standard deviation; Spectral radiance, upward at 572.5 nm; Spectral radiance, upward at 572.5 nm, standard deviation; Spectral radiance, upward at 575 nm; Spectral radiance, upward at 575 nm, standard deviation; Spectral radiance, upward at 577.5 nm;
    Type: Dataset
    Format: text/tab-separated-values, 1282 data points
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  • 85
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Diving spectrometer, MMS-5; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; MMS5; Principal investigator; Sensor height above water level; Spectral scalar irradiance, upward at 350.6284 nm; Spectral scalar irradiance, upward at 353.9203 nm; Spectral scalar irradiance, upward at 357.2132 nm; Spectral scalar irradiance, upward at 360.507 nm; Spectral scalar irradiance, upward at 363.8015 nm; Spectral scalar irradiance, upward at 367.0969 nm; Spectral scalar irradiance, upward at 370.393 nm; Spectral scalar irradiance, upward at 373.6899 nm; Spectral scalar irradiance, upward at 376.9875 nm; Spectral scalar irradiance, upward at 380.2858 nm; Spectral scalar irradiance, upward at 383.5848 nm; Spectral scalar irradiance, upward at 386.8844 nm; Spectral scalar irradiance, upward at 390.1847 nm; Spectral scalar irradiance, upward at 393.4855 nm; Spectral scalar irradiance, upward at 396.7869 nm; Spectral scalar irradiance, upward at 400.0889 nm; Spectral scalar irradiance, upward at 403.3914 nm; Spectral scalar irradiance, upward at 406.6944 nm; Spectral scalar irradiance, upward at 409.9979 nm; Spectral scalar irradiance, upward at 413.3018 nm; Spectral scalar irradiance, upward at 416.6062 nm; Spectral scalar irradiance, upward at 419.911 nm; Spectral scalar irradiance, upward at 423.2162 nm; Spectral scalar irradiance, upward at 426.5218 nm; Spectral scalar irradiance, upward at 429.8277 nm; Spectral scalar irradiance, upward at 433.1339 nm; Spectral scalar irradiance, upward at 436.4404 nm; Spectral scalar irradiance, upward at 439.7472 nm; Spectral scalar irradiance, upward at 443.0543 nm; Spectral scalar irradiance, upward at 446.3616 nm; Spectral scalar irradiance, upward at 449.6691 nm; Spectral scalar irradiance, upward at 452.9768 nm; Spectral scalar irradiance, upward at 456.2847 nm; Spectral scalar irradiance, upward at 459.5927 nm; Spectral scalar irradiance, upward at 462.9008 nm; Spectral scalar irradiance, upward at 466.2091 nm; Spectral scalar irradiance, upward at 469.5175 nm; Spectral scalar irradiance, upward at 472.8259 nm; Spectral scalar irradiance, upward at 476.1343 nm; Spectral scalar irradiance, upward at 479.4428 nm; Spectral scalar irradiance, upward at 482.7513 nm; Spectral scalar irradiance, upward at 486.0598 nm; Spectral scalar irradiance, upward at 489.3683 nm; Spectral scalar irradiance, upward at 492.6768 nm; Spectral scalar irradiance, upward at 495.9851 nm; Spectral scalar irradiance, upward at 499.2934 nm; Spectral scalar irradiance, upward at 502.6015 nm; Spectral scalar irradiance, upward at 505.9095 nm; Spectral scalar irradiance, upward at 509.2174 nm; Spectral scalar irradiance, upward at 512.5252 nm; Spectral scalar irradiance, upward at 515.8328 nm; Spectral scalar irradiance, upward at 519.1401 nm; Spectral scalar irradiance, upward at 522.4473 nm; Spectral scalar irradiance, upward at 525.7542 nm; Spectral scalar irradiance, upward at 529.0608 nm; Spectral scalar irradiance, upward at 532.3672 nm; Spectral scalar irradiance, upward at 535.6733 nm; Spectral scalar irradiance, upward at 538.9791 nm; Spectral scalar irradiance, upward at 542.2846 nm; Spectral scalar irradiance, upward at 545.5898 nm; Spectral scalar irradiance, upward at 548.8946 nm; Spectral scalar irradiance, upward at 552.199 nm; Spectral scalar irradiance, upward at 555.5031 nm; Spectral scalar irradiance, upward at 558.8068 nm; Spectral scalar irradiance, upward at 562.11 nm; Spectral scalar irradiance, upward at 565.4128 nm; Spectral scalar irradiance, upward at 568.7153 nm; Spectral scalar irradiance, upward at 572.0172 nm; Spectral scalar irradiance, upward at 575.3186 nm; Spectral scalar irradiance, upward at 578.6196 nm; Spectral scalar irradiance, upward at 581.92 nm; Spectral scalar irradiance, upward at 585.22 nm; Spectral scalar irradiance, upward at 588.5193 nm; Spectral scalar irradiance, upward at 591.8182 nm; Spectral scalar irradiance, upward at 595.1165 nm; Spectral scalar irradiance, upward at 598.4142 nm; Spectral scalar irradiance, upward at 601.7113 nm; Spectral scalar irradiance, upward at 605.0079 nm; Spectral scalar irradiance, upward at 608.3038 nm; Spectral scalar irradiance, upward at 611.5991 nm; Spectral scalar irradiance, upward at 614.8937 nm; Spectral scalar irradiance, upward at 618.1877 nm; Spectral scalar irradiance, upward at 621.481 nm; Spectral scalar irradiance, upward at 624.7736 nm; Spectral scalar irradiance, upward at 628.0656 nm; Spectral scalar irradiance, upward at 631.3568 nm; Spectral scalar irradiance, upward at 634.6473 nm; Spectral scalar irradiance, upward at 637.9371 nm; Spectral scalar irradiance, upward at 641.2261 nm; Spectral scalar irradiance, upward at 644.5145 nm; Spectral scalar irradiance, upward at 647.8019 nm; Spectral scalar irradiance, upward at 651.0887 nm; Spectral scalar irradiance, upward at 654.3747 nm; Spectral scalar irradiance, upward at 657.6599 nm; Spectral scalar irradiance, upward at 660.9443 nm; Spectral scalar irradiance, upward at 664.2278 nm; Spectral scalar irradiance, upward at 667.5106 nm; Spectral scalar irradiance, upward at 670.7924 nm; Spectral scalar irradiance, upward at 674.0735 nm; Spectral scalar irradiance, upward at 677.3536 nm; Spectral scalar irradiance, upward at 680.6329 nm; Spectral scalar irradiance, upward at 683.9114 nm; Spectral scalar irradiance, upward at 687.189 nm; Spectral scalar irradiance, upward at 690.4656 nm; Spectral scalar irradiance, upward at 693.7413 nm; Spectral scalar irradiance, upward at 697.0162 nm; Spectral scalar irradiance, upward at 700.2901 nm; Spectral scalar irradiance, upward at 703.5631 nm; Spectral scalar irradiance, upward at 706.8351 nm; Spectral scalar irradiance, upward at 710.1062 nm; Spectral scalar irradiance, upward at 713.3763 nm; Spectral scalar irradiance, upward at 716.6456 nm; Spectral scalar irradiance, upward at 719.9138 nm; Spectral scalar irradiance, upward at 723.181 nm; Spectral scalar irradiance, upward at 726.4472 nm; Spectral scalar irradiance, upward at 729.7125 nm; Spectral scalar irradiance, upward at 732.9767 nm; Spectral scalar irradiance, upward at 736.24 nm; Spectral scalar irradiance, upward at 739.5022 nm; Spectral scalar irradiance, upward at 742.7634 nm; Spectral scalar irradiance, upward at 746.0236 nm; Spectral scalar irradiance, upward at 749.2828 nm; Spectral scalar irradiance, upward at 752.5409 nm; Spectral scalar irradiance, upward at 755.7979 nm; Spectral scalar irradiance, upward at 759.054 nm; Spectral scalar irradiance, upward at 762.3089 nm; Spectral scalar irradiance, upward at 765.5628 nm; Spectral scalar irradiance, upward at 768.8157 nm; Spectral scalar irradiance, upward at 772.0674 nm; Spectral scalar irradiance, upward at 775.3181 nm; Spectral scalar irradiance, upward at 778.5677 nm; Spectral scalar irradiance, upward at 781.8163 nm; Spectral scalar irradiance, upward at 785.0637 nm; Spectral scalar irradiance, upward at 788.3101 nm; Spectral scalar irradiance, upward at 791.5553 nm; Spectral scalar irradiance, upward at 794.7994 nm; Spectral scalar irradiance, upward at 798.0425 nm; Spectral scalar irradiance, upward at 801.2844 nm; Suessersee-0930_MMS5; Suessersee-0949_MMS5; Suessersee-1026_MMS5; Suessersee-1040_MMS5; Suessersee-1134_MMS5; Suessersee-1159_MMS5
    Type: Dataset
    Format: text/tab-separated-values, 13728 data points
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  • 86
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Diving spectrometer, MMS-5; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; MMS5; Principal investigator; Sensor height above water level; Spectral irradiance, upward at 350.6284 nm; Spectral irradiance, upward at 353.9203 nm; Spectral irradiance, upward at 357.2132 nm; Spectral irradiance, upward at 360.507 nm; Spectral irradiance, upward at 363.8015 nm; Spectral irradiance, upward at 367.0969 nm; Spectral irradiance, upward at 370.393 nm; Spectral irradiance, upward at 373.6899 nm; Spectral irradiance, upward at 376.9875 nm; Spectral irradiance, upward at 380.2858 nm; Spectral irradiance, upward at 383.5848 nm; Spectral irradiance, upward at 386.8844 nm; Spectral irradiance, upward at 390.1847 nm; Spectral irradiance, upward at 393.4855 nm; Spectral irradiance, upward at 396.7869 nm; Spectral irradiance, upward at 400.0889 nm; Spectral irradiance, upward at 403.3914 nm; Spectral irradiance, upward at 406.6944 nm; Spectral irradiance, upward at 409.9979 nm; Spectral irradiance, upward at 413.3018 nm; Spectral irradiance, upward at 416.6062 nm; Spectral irradiance, upward at 419.911 nm; Spectral irradiance, upward at 423.2162 nm; Spectral irradiance, upward at 426.5218 nm; Spectral irradiance, upward at 429.8277 nm; Spectral irradiance, upward at 433.1339 nm; Spectral irradiance, upward at 436.4404 nm; Spectral irradiance, upward at 439.7472 nm; Spectral irradiance, upward at 443.0543 nm; Spectral irradiance, upward at 446.3616 nm; Spectral irradiance, upward at 449.6691 nm; Spectral irradiance, upward at 452.9768 nm; Spectral irradiance, upward at 456.2847 nm; Spectral irradiance, upward at 459.5927 nm; Spectral irradiance, upward at 462.9008 nm; Spectral irradiance, upward at 466.2091 nm; Spectral irradiance, upward at 469.5175 nm; Spectral irradiance, upward at 472.8259 nm; Spectral irradiance, upward at 476.1343 nm; Spectral irradiance, upward at 479.4428 nm; Spectral irradiance, upward at 482.7513 nm; Spectral irradiance, upward at 486.0598 nm; Spectral irradiance, upward at 489.3683 nm; Spectral irradiance, upward at 492.6768 nm; Spectral irradiance, upward at 495.9851 nm; Spectral irradiance, upward at 499.2934 nm; Spectral irradiance, upward at 502.6015 nm; Spectral irradiance, upward at 505.9095 nm; Spectral irradiance, upward at 509.2174 nm; Spectral irradiance, upward at 512.5252 nm; Spectral irradiance, upward at 515.8328 nm; Spectral irradiance, upward at 519.1401 nm; Spectral irradiance, upward at 522.4473 nm; Spectral irradiance, upward at 525.7542 nm; Spectral irradiance, upward at 529.0608 nm; Spectral irradiance, upward at 532.3672 nm; Spectral irradiance, upward at 535.6733 nm; Spectral irradiance, upward at 538.9791 nm; Spectral irradiance, upward at 542.2846 nm; Spectral irradiance, upward at 545.5898 nm; Spectral irradiance, upward at 548.8946 nm; Spectral irradiance, upward at 552.199 nm; Spectral irradiance, upward at 555.5031 nm; Spectral irradiance, upward at 558.8068 nm; Spectral irradiance, upward at 562.11 nm; Spectral irradiance, upward at 565.4128 nm; Spectral irradiance, upward at 568.7153 nm; Spectral irradiance, upward at 572.0172 nm; Spectral irradiance, upward at 575.3186 nm; Spectral irradiance, upward at 578.6196 nm; Spectral irradiance, upward at 581.92 nm; Spectral irradiance, upward at 585.22 nm; Spectral irradiance, upward at 588.5193 nm; Spectral irradiance, upward at 591.8182 nm; Spectral irradiance, upward at 595.1165 nm; Spectral irradiance, upward at 598.4142 nm; Spectral irradiance, upward at 601.7113 nm; Spectral irradiance, upward at 605.0079 nm; Spectral irradiance, upward at 608.3038 nm; Spectral irradiance, upward at 611.5991 nm; Spectral irradiance, upward at 614.8937 nm; Spectral irradiance, upward at 618.1877 nm; Spectral irradiance, upward at 621.481 nm; Spectral irradiance, upward at 624.7736 nm; Spectral irradiance, upward at 628.0656 nm; Spectral irradiance, upward at 631.3568 nm; Spectral irradiance, upward at 634.6473 nm; Spectral irradiance, upward at 637.9371 nm; Spectral irradiance, upward at 641.2261 nm; Spectral irradiance, upward at 644.5145 nm; Spectral irradiance, upward at 647.8019 nm; Spectral irradiance, upward at 651.0887 nm; Spectral irradiance, upward at 654.3747 nm; Spectral irradiance, upward at 657.6599 nm; Spectral irradiance, upward at 660.9443 nm; Spectral irradiance, upward at 664.2278 nm; Spectral irradiance, upward at 667.5106 nm; Spectral irradiance, upward at 670.7924 nm; Spectral irradiance, upward at 674.0735 nm; Spectral irradiance, upward at 677.3536 nm; Spectral irradiance, upward at 680.6329 nm; Spectral irradiance, upward at 683.9114 nm; Spectral irradiance, upward at 687.189 nm; Spectral irradiance, upward at 690.4656 nm; Spectral irradiance, upward at 693.7413 nm; Spectral irradiance, upward at 697.0162 nm; Spectral irradiance, upward at 700.2901 nm; Spectral irradiance, upward at 703.5631 nm; Spectral irradiance, upward at 706.8351 nm; Spectral irradiance, upward at 710.1062 nm; Spectral irradiance, upward at 713.3763 nm; Spectral irradiance, upward at 716.6456 nm; Spectral irradiance, upward at 719.9138 nm; Spectral irradiance, upward at 723.181 nm; Spectral irradiance, upward at 726.4472 nm; Spectral irradiance, upward at 729.7125 nm; Spectral irradiance, upward at 732.9767 nm; Spectral irradiance, upward at 736.24 nm; Spectral irradiance, upward at 739.5022 nm; Spectral irradiance, upward at 742.7634 nm; Spectral irradiance, upward at 746.0236 nm; Spectral irradiance, upward at 749.2828 nm; Spectral irradiance, upward at 752.5409 nm; Spectral irradiance, upward at 755.7979 nm; Spectral irradiance, upward at 759.054 nm; Spectral irradiance, upward at 762.3089 nm; Spectral irradiance, upward at 765.5628 nm; Spectral irradiance, upward at 768.8157 nm; Spectral irradiance, upward at 772.0674 nm; Spectral irradiance, upward at 775.3181 nm; Spectral irradiance, upward at 778.5677 nm; Spectral irradiance, upward at 781.8163 nm; Spectral irradiance, upward at 785.0637 nm; Spectral irradiance, upward at 788.3101 nm; Spectral irradiance, upward at 791.5553 nm; Spectral irradiance, upward at 794.7994 nm; Spectral irradiance, upward at 798.0425 nm; Spectral irradiance, upward at 801.2844 nm; Suessersee-0930_MMS5; Suessersee-0949_MMS5; Suessersee-1026_MMS5; Suessersee-1040_MMS5; Suessersee-1134_MMS5; Suessersee-1159_MMS5
    Type: Dataset
    Format: text/tab-separated-values, 13728 data points
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  • 87
    Publication Date: 2023-06-27
    Keywords: Arendsee-AR5-1115_BBE_FP_ALGAE; Arendsee-AR5-1214_BBE_FP_ALGAE; Arendsee-AR6-1345_BBE_FP_ALGAE; Arendsee-AR7-1401_BBE_FP_ALGAE; Arendsee-AR8-1410_BBE_FP_ALGAE; Blue-green algae; Chlorophyll total; Cryptophyta; Cryptophyta, biomass; DATE/TIME; DEPTH, water; Diatoms; Diatoms, biomass; Event label; Fluorospectrometer: (bbe Moldaenke), Fluoroprobe; Germany; Green algae; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Particle concentration, fractionated; Pressure; Principal investigator; Temperature, technical; Temperature, water; Transmission of light; Yellow substance
    Type: Dataset
    Format: text/tab-separated-values, 2700 data points
    Location Call Number Expected Availability
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  • 88
    Publication Date: 2023-06-27
    Keywords: Arendsee-AR1-0803_YSI2; Arendsee-AR1-0815_YSI2; Arendsee-AR1-0904_YSI2; Arendsee-AR1-1001_YSI2; Arendsee-AR1-1102_YSI2; Arendsee-AR1-1159_YSI2; Arendsee-AR1-1202_YSI2; Arendsee-AR1-1304_YSI2; Arendsee-AR2-1133_YSI2; Arendsee-AR3-1234_YSI2; Arendsee-AR4-1248_YSI2; Arendsee-AR5-0841_YSI2; Arendsee-AR5-0904_YSI2; Arendsee-AR5-1004_YSI2; Arendsee-AR5-1106_YSI2; Arendsee-AR5-1204_YSI2; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Event label; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; LATITUDE; LONGITUDE; Multiparameter water quality sonde, YSI Inc., YSI 6600; Number; Oxygen saturation; pH; Phycocyanin; Principal investigator; Temperature, water; Turbidity (Nephelometric turbidity unit); YSI2-MULT; YSI2 Multisonde
    Type: Dataset
    Format: text/tab-separated-values, 5336 data points
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  • 89
    Publication Date: 2023-06-27
    Keywords: Age; HAV-KU-6; Median, grain size; PC; Piston corer
    Type: Dataset
    Format: text/tab-separated-values, 80 data points
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  • 90
    Publication Date: 2023-06-27
    Keywords: Accumulation rate, carbon, organic; Accumulation rate, molybdenum; Accumulation rate, sediment, mean per year; Age; Branched and isoprenoid tetraether index; Carbon, organic, phytoplankton matter; Carbon, organic, terrestrial matter; Carbon/Nitrogen ratio; DEPTH, sediment/rock; HAV-KU-6; Lead; Lead-206/Lead-207 ratio; Molybdenum; Molybdenum/Aluminium ratio; PC; Piston corer; Pristane/Phytane ratio; Sedimentation rate per year; Titanium/Potassium ratio; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 2027 data points
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  • 91
    Publication Date: 2023-06-27
    Description: Sortable silt data was obtained from core MD03-2673 located in the North Atlantic. The sediment was analysed with a laser diffractometer at Bio-Indicateurs Actuels et Fossiles (BIAF) lab, in order to provide informations on past changes in intensity of the Iceland-Scotland Overflow Water (ISOW) over the Marine Isotopic Stages 7 and 9. The original sortable silt data (percent and mean) were used for comparison with the new method of correcting for ice-rafted debris (IRD) influence on sortable silt described in Stevenard et al. (submitted).
    Keywords: CALYPSO; Calypso Corer; DEPTH, sediment/rock; Gardar Drift; Grain size, Mastersizer 3000, Malvern Instrument Inc.; IMAGES XI - P.I.C.A.S.S.O.; Marion Dufresne (1995); MD032673; MD03-2673; MD132; Size fraction 0.063-0.010 mm, sortable silt; sortable silt; Sortable-silt mean; Zr/Rb
    Type: Dataset
    Format: text/tab-separated-values, 636 data points
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  • 92
    Publication Date: 2023-06-29
    Description: 1 Study site and set-up The studied hemiboreal riparian forest is a 40-year old Filipendula type grey alder (Alnus incana (L.) Moench) forest stand grown on a former agricultural agricultural land. It is situated in the Agali Village (58o17' N; 27o17' E) in eastern Estonia within the Lake Peipsi Lowland (Varep 1964). The area is characterized by a flat relief with an average elevation of 32m a.s.l., formed from the bottom of former periglacial lake systems, it is slightly inclined (1%) towards a tributary of the Kalli River. The soil is Gleyic Luvisol. The thickness of the humus layer was 15-20 cm. The content of total carbon (TC), total nitrogen (TN), nitrate (NO3- -N), ammonia NH4+-N, Ca and Mg per dry matter in 10cm topsoil was 3.8 and 0.33 %, and 2.42, 2.89, 1487 and 283 mg kg-1, respectively, which was correspondingly 6.3, 8.3, 4.4, 3.6, 2.3, and 2.0 times more than those in 20cm deep zone. The long-term average annual precipitation of the region is 650 mm, and the average temperature is 17.0 °C in July and -6.7 °C in January. The duration of the growing season is typically 175-180 days from mid-April to October (Kupper et al. 2011). The mean height of the forest stand is 17.5 m, the mean stem diameter at breast height 15.6 cm and the growing stock 245 m3 ha−1 (based on Uri et al 2014 and Becker et al 2015). In the forest floor, the following herbs dominate: Filipendula ulmaria (L.) Maxim., Aegopodium podagraria L., Cirsium oleraceum (L.) Scop., Geum rivale L., Crepis paludosa (L.) Moench,), shrubs (Rubus idaeus L., Frangula alnus L., Daphne mezereum L.) and young trees (A. incana, Prunus padus (L.)) dominate. In moss-layer Climacium dendroides (Hedw.) F. Weber & D. Mohr, Plagiomnium spp and Rhytidiadelphus triquetrus (Hedw.) Warnst. 2 Soil flux measurements Soil fluxes were measured using 12 automatic dynamic chambers located close to each studied tree and installed in June 2017. The chambers were made from polymethyl methacrylate (Plexiglas) covered with non-transparent plastic film. Each soil chamber (volume of 0.032 m³) covered a 0.16 m² soil surface. To avoid stratification of gas inside the chamber, air with a constant flow rate of 1.8 L min-1 was circulated within a closed loop between the chamber and gas analyzer unit during the measurements by a diaphragm pump. The air sample was taken from the top of the chamber headspace and pumped back by distributing it to each side of the chamber. For the measurements, the soil chambers were closed automatically for 9 minutes each. Flushing time of the whole system with ambient air between measurement periods was 1 minute. Thus, there were approximately 12 measurements per chamber per day. A Picarro G2508 (Picarro Inc., Santa Clara, CA, USA) gas analyzer using cavity ring-down spectroscopy (CRDS) technology was used to monitor N2O gas concentrations in the frequency of approximately 1.17 measurements per second. The chambers were connected to the gas analyzer using a multiplexer. Since the 9 minutes of closing each soil chamber for measurements consisted of two minutes for stabilization the trend in the beginning and about two minutes unstable fluctuations at the end, for soil flux calculations, only 5 minutes of the linear trend of N2O concentration change has been used for soil flux calculations. After the quality checking 105,830 flux values (98.7% of total possible) of soil N2O fluxes could be used during the whole study period. 3 Stem flux measurements The tree stem fluxes were measured manually with frequency 1-2 times per week from September 2017 until December 2018. Twelve representative mature grey alder trees were selected for stem flux measurements and equipped with static closed tree stem chamber systems for stem flux measurements (Machacova et al 2016). Soil fluxes were investigated close to each selected tree. The tree chambers were installed in June 2017 in following order: at the bottom part of the tree stem (approximately 10 cm above the soil) and at 80 and 170 cm above the ground. The rectangular shape stem chambers were made of transparent plastic containers, including removable airtight lids (Lock & Lock Co Ltd, Seoul, Republic of Korea). For chamber preparation see Schindler et al. (2020). Two chambers per profile were set randomly across 180° and interconnected with tubes into one system (total volume of 0.00119 m³) covering 0.0108 m² of stem surface. A pump (model 1410VD, 12 V; Thomas GmbH, Fürstenfeldbruck, Germany) was used to homogenize the gas concentration prior to sampling. Chamber systems remained open between each sampling campaign. During 60 measurement campaigns, four gas samples (each 25 ml) were collected from each chamber system via septum in a 60 min interval: 0/60/120/180 min sequence (sampling time between 12:00 and 16:00) and stored in pre-evacuated (0.3 bar) 12 ml coated gas-tight vials (LabCo International, Ceregidion, UK). The gas samples were analysed in the laboratory at University of Tartu within a week using gas chromatograph (GC-2014; Shimadzu, Kyoto, Japan) equipped with an electron capture detector for detection of N2O and a flame ionization detector for CH4. The gas samples were injected automatically using Loftfield autosampler (Loftfield Analytics, Göttingen, Germany). For gas-chromatographical settings see Soosaar et al. (2011). 4 Soil and stem flux calculation Fluxes were quantified on a linear approach according to change of CH4 and N2O concentrations in the chamber headspace over time, using the equation according to Livingston & Hutchison (1995). Stem fluxes were quantified on a linear approach according to change of N2O concentrations in the chamber headspace over time. A data quality control was applied based on R2 values of linear fit for CO2 measurements. When the R2 value for CO2 efflux was above 0.9, the conditions inside the chamber were applicable, and the calculations for N2O gases were also accepted in spite of their R2 values. To compare the contribution of soil and stems, the stem fluxes were upscaled to hectare of ground area based on average stem diameter, tree height, stem surface area, tree density, and stand basal area estimated for each period. A cylindric shape of tree stem was assumed. To estimate average stem emissions per tree, fitted regression curves for different periods were made between the stem emissions and height of the measurements as previously done by Schindler et al. (2020). 5 Eddy covariance instrumentation Eddy-covariance system was installed on a 21 m height scaffolding tower. Fast 3-D sonic anemometer Gill HS-50 (Gill Instruments Ltd., Lymington, Hampshire, UK) was used to obtain 3 wind components. CO2 fluxes were measured using the Li-Cor 7200 analyser (Li-Cor Inc., Lincoln, NE, USA). Air was sampled synchronously with the 30 m teflon inlet tube and analyzed by a quantum cascade laser absorption spectrometer (QCLAS) (Aerodyne Research Inc., Billerica, MA, USA) for N2O concentrations. The Aerodyne QCLAS was installed in the heated and ventilated cottage near the tower base. A high-capacity free scroll vacuum pump (Agilent, Santa Clara, CA, USA) guaranteed air flow rate 15 L min-1 between the tower and gas analyzer during the measurements. Air was filtered for dust and condense water. All measurements were done at 10Hz and the gas-analyzer reported concentrations per dry air (mixing ratios). 6 Eddy-covariance flux calculation and data quality control The fluxes of N2O were calculated using the EddyPro software (v.6.0-7.0, Li-Cor) as a covariance of the gas mixing ratio with the vertical wind component over 30-minute periods. Despiking of the raw data was performed following Mauder (2013). Anemometer tilt was corrected with the double axis rotation. Linear detrending was chosen over block averaging to minimize the influence of a possible fluctuations of a gas analyser. Time lags were detected using covariance maximisation in a given time window (5±2s was chosen based on the tube length and flow rate). While WPL-correction is typically performed for the closed-path systems, we did not apply it as water correction was already performed by the Aerodyne and the software reported mixing ratios. Both low and high frequency spectral corrections were applied using fully analytic corrections (Moncrieff et al. 1997, 2004). Calculated fluxes were filtered out in case they were coming from the half-hour averaging periods with at least one of the following criteria: more than 1000 spikes, half-hourly averaged mixing ratio out of range (300-350 ppb), quality control (QC) flags higher than 7 (Foken et al, 2004). Footprint area was estimated using Kljun et al (2015) implemented in TOVI software (Li-Cor Inc.). Footprint allocation tool was implemented to flag the non-forested areas within the 90% cumulative footprint and fluxes appointed to these areas were removed from the further analysis. Storage fluxes were estimated using point concentration measurements from the eddy system, assuming the uniform change within the air column under the tower during every 30 min period (calculated in EddyPro software). In the absence of a better estimate or profile measurements, these estimates were used to correct for storage change. Total flux values that were higher than eight times the standard deviation were additionally filtered out (following Wang et al., 2013). Overall, the quality control procedures resulted in 61% data coverage. While friction velocity (u*) threshold is used to filter eddy fluxes of CO2 (Papale et al. 2006), visual inspection of the friction velocity influence on N2O fluxes demonstrated no effect. Thus, we decided not to apply it, taking into account that 1-9 QC flag system already marks the times when the turbulence is not sufficient. To obtain the continuous time-series and to enable the comparison to chamber estimates over hourly time scales, gap-filling of N2O fluxes was performed using marginal distribution sampling method implemented in ReddyProcWeb online tool (https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWeb) (described in detail in Wutzler et al 2018). MATLAB (ver. 2018a-b, Mathworks Inc., Natick, MA, USA) was used for all the eddy fluxes data analysis. 7 Ancillary measurements Air temperature and relative humidity were measured within the canopy at 10m height using the HC2A-S3 - Standard Meteo Probe / RS24T (Rotronic AG, Bassersdorf, Switzerland) and Campbell CR100 data logger (Campbell Scientific Inc., Logan, UT, USA). Based on these data, dew point depression was calculated to characterise chance of fog formation within the canopy. The incoming solar radiation data were obtained from the SMEAR Estonia station located at 2 km from the study site (Noe et al 201587) using the Delta-T-SPN-1 sunshine pyranometer (Delta-T Devices Ltd., Cambridge, UK). The cloudiness ratio was calculated based on radiation data. Near-ground air temperature, soil temperature (Campbell Scientific Inc.) and soil water content sensors (ML3 ThetaProbe, Delta-T Devices, Burwell, Cambridge, UK) were installed directly on the ground and 0-10 cm soil depth close to the studied tree spots. During six campaigns from August to November 2017 composite topsoil samples were taken with a soil corer from a depth of 0-10 cm for physical and chemical analysis using standard methods (APHA-AWWA-WEF, 2005).
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 93
    Publication Date: 2023-06-29
    Keywords: Agali_experimental_forest; Agali, Estonia; DATE/TIME; Nitrous oxide, flux; Provenance/source; Time in hours
    Type: Dataset
    Format: text/tab-separated-values, 121210 data points
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  • 94
    Publication Date: 2023-06-29
    Keywords: Agali_experimental_forest; Agali, Estonia; Comment; DATE/TIME; Precipitation; Snow cover thickness; Soil water content, volumetric; Temperature, air
    Type: Dataset
    Format: text/tab-separated-values, 1505 data points
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  • 95
    Publication Date: 2023-06-29
    Keywords: Agali_experimental_forest; Agali, Estonia; DATE/TIME; Friction velocity; Nitrogen dioxide; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 4315 data points
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  • 96
    Publication Date: 2023-06-29
    Keywords: Agali_experimental_forest; Agali, Estonia; Calcium; Dry mass; Magnesium; Nitrogen; Nitrogen in ammonium; Nitrogen in nitrate; Number; Organic matter; pH; Phosphorus; Potassium; Sample mass
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 97
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 382.5 nm; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 387.5 nm; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 392.5 nm; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 397.5 nm; Remote sensing reflectance at 400 nm; Remote sensing reflectance at 402.5 nm; Remote sensing reflectance at 405 nm; Remote sensing reflectance at 407.5 nm; Remote sensing reflectance at 410 nm; Remote sensing reflectance at 412.5 nm; Remote sensing reflectance at 415 nm; Remote sensing reflectance at 417.5 nm; Remote sensing reflectance at 420 nm; Remote sensing reflectance at 422.5 nm; Remote sensing reflectance at 425 nm; Remote sensing reflectance at 427.5 nm; Remote sensing reflectance at 430 nm; Remote sensing reflectance at 432.5 nm; Remote sensing reflectance at 435 nm; Remote sensing reflectance at 437.5 nm; Remote sensing reflectance at 440 nm; Remote sensing reflectance at 442.5 nm; Remote sensing reflectance at 445 nm; Remote sensing reflectance at 447.5 nm; Remote sensing reflectance at 450 nm; Remote sensing reflectance at 452.5 nm; Remote sensing reflectance at 455 nm; Remote sensing reflectance at 457.5 nm; Remote sensing reflectance at 460 nm; Remote sensing reflectance at 462.5 nm; Remote sensing reflectance at 465 nm; Remote sensing reflectance at 467.5 nm; Remote sensing reflectance at 470 nm; Remote sensing reflectance at 472.5 nm; Remote sensing reflectance at 475 nm; Remote sensing reflectance at 477.5 nm; Remote sensing reflectance at 480 nm; Remote sensing reflectance at 482.5 nm; Remote sensing reflectance at 485 nm; Remote sensing reflectance at 487.5 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 492.5 nm; Remote sensing reflectance at 495 nm; Remote sensing reflectance at 497.5 nm; Remote sensing reflectance at 500 nm; Remote sensing reflectance at 502.5 nm; Remote sensing reflectance at 505 nm; Remote sensing reflectance at 507.5 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 512.5 nm; Remote sensing reflectance at 515 nm; Remote sensing reflectance at 517.5 nm; Remote sensing reflectance at 520 nm; Remote sensing reflectance at 522.5 nm; Remote sensing reflectance at 525 nm; Remote sensing reflectance at 527.5 nm; Remote sensing reflectance at 530 nm; Remote sensing reflectance at 532.5 nm; Remote sensing reflectance at 535 nm; Remote sensing reflectance at 537.5 nm; Remote sensing reflectance at 540 nm; Remote sensing reflectance at 542.5 nm; Remote sensing reflectance at 545 nm; Remote sensing reflectance at 547.5 nm; Remote sensing reflectance at 550 nm; Remote sensing reflectance at 552.5 nm; Remote sensing reflectance at 555 nm; Remote sensing reflectance at 557.5 nm; Remote sensing reflectance at 560 nm; Remote sensing reflectance at 562.5 nm; Remote sensing reflectance at 565 nm; Remote sensing reflectance at 567.5 nm; Remote sensing reflectance at 570 nm; Remote sensing reflectance at 572.5 nm; Remote sensing reflectance at 575 nm; Remote sensing reflectance at 577.5 nm; Remote sensing reflectance at 580 nm; Remote sensing reflectance at 582.5 nm; Remote sensing reflectance at 585 nm; Remote sensing reflectance at 587.5 nm; Remote sensing reflectance at 590 nm; Remote sensing reflectance at 592.5 nm; Remote sensing reflectance at 595 nm; Remote sensing reflectance at 597.5 nm; Remote sensing reflectance at 600 nm; Remote sensing reflectance at 602.5 nm; Remote sensing reflectance at 605 nm; Remote sensing reflectance at 607.5 nm; Remote sensing reflectance at 610 nm; Remote sensing reflectance at 612.5 nm; Remote sensing reflectance at 615 nm; Remote sensing reflectance at 617.5 nm; Remote sensing reflectance at 620 nm; Remote sensing reflectance at 622.5 nm; Remote sensing reflectance at 625 nm; Remote sensing reflectance at 627.5 nm; Remote sensing reflectance at 630 nm; Remote sensing reflectance at 632.5 nm; Remote sensing reflectance at 635 nm; Remote sensing reflectance at 637.5 nm; Remote sensing reflectance at 640 nm; Remote sensing reflectance at 642.5 nm; Remote sensing reflectance at 645 nm; Remote sensing reflectance at 647.5 nm; Remote sensing reflectance at 650 nm; Remote sensing reflectance at 652.5 nm; Remote sensing reflectance at 655 nm; Remote sensing reflectance at 657.5 nm; Remote sensing reflectance at 660 nm; Remote sensing reflectance at 662.5 nm; Remote sensing reflectance at 665 nm; Remote sensing reflectance at 667.5 nm; Remote sensing reflectance at 670 nm; Remote sensing reflectance at 672.5 nm; Remote sensing reflectance at 675 nm; Remote sensing reflectance at 677.5 nm; Remote sensing reflectance at 680 nm; Remote sensing reflectance at 682.5 nm; Remote sensing reflectance at 685 nm; Remote sensing reflectance at 687.5 nm; Remote sensing reflectance at 690 nm; Remote sensing reflectance at 692.5 nm; Remote sensing reflectance at 695 nm; Remote sensing reflectance at 697.5 nm; Remote sensing reflectance at 700 nm; Remote sensing reflectance at 702.5 nm; Remote sensing reflectance at 705 nm; Remote sensing reflectance at 707.5 nm; Remote sensing reflectance at 710 nm; Remote sensing reflectance at 712.5 nm; Remote sensing reflectance at 715 nm; Remote sensing reflectance at 717.5 nm; Remote sensing reflectance at 720 nm; Remote sensing reflectance at 722.5 nm; Remote sensing reflectance at 725 nm; Remote sensing reflectance at 727.5 nm; Remote sensing reflectance at 730 nm; Remote sensing reflectance at 732.5 nm; Remote sensing reflectance at 735 nm; Remote sensing reflectance at 737.5 nm; Remote sensing reflectance at 740 nm; Remote sensing reflectance at 742.5 nm; Remote sensing reflectance at 745 nm; Remote sensing reflectance at 747.5 nm; Remote sensing reflectance at 750 nm; Remote sensing reflectance at 752.5 nm; Remote sensing reflectance at 755 nm; Remote sensing reflectance at 757.5 nm; Remote sensing reflectance at 760 nm; Remote sensing reflectance at 762.5 nm; Remote sensing reflectance at 765 nm; Remote sensing reflectance at 767.5 nm; Remote sensing reflectance at 770 nm; Remote sensing reflectance at 772.5 nm; Remote sensing reflectance at 775 nm; Remote sensing reflectance at 777.5 nm; Remote sensing reflectance at 780 nm; Remote sensing reflectance at 782.5 nm; Remote sensing reflectance at 785 nm; Remote sensing reflectance at 787.5 nm; Remote sensing reflectance at 790 nm; Remote sensing reflectance at 792.5 nm; Remote sensing reflectance at 795 nm; Remote sensing reflectance at 797.5 nm; Remote sensing reflectance at 800 nm; Remote sensing reflectance at 802.5 nm; Remote sensing reflectance at 805 nm; Remote sensing reflectance at 807.5 nm; Remote sensing reflectance at 810 nm; Remote sensing reflectance at 812.5 nm; Remote sensing reflectance at 815 nm; Remote sensing reflectance at 817.5 nm; Remote sensing reflectance at 820 nm; Remote sensing reflectance at 822.5 nm; Remote sensing reflectance at 825 nm; Remote sensing reflectance at 827.5 nm; Remote sensing reflectance at 830 nm; Remote sensing reflectance at 832.5 nm; Remote sensing reflectance at 835 nm; Remote sensing reflectance at 837.5 nm; Remote sensing reflectance at 840 nm; Remote sensing reflectance at 842.5 nm; Remote sensing reflectance at 845 nm; Remote sensing reflectance at 847.5 nm; Remote sensing reflectance at 850 nm; Remote sensing reflectance at 852.5 nm; Remote sensing reflectance at 855 nm; Remote sensing reflectance at 857.5 nm; Remote sensing reflectance at 860 nm; Remote sensing reflectance at 862.5 nm; Remote sensing reflectance at 865 nm; Remote sensing reflectance at 867.5 nm; Remote sensing reflectance at 870 nm; Remote sensing reflectance at 872.5 nm; Remote sensing reflectance at 875 nm; Remote
    Type: Dataset
    Format: text/tab-separated-values, 648 data points
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  • 98
    Publication Date: 2023-07-03
    Keywords: Date/time end; Date/time start; Event label; Flag; Geiseltalsee-0802_RAMSES3; Geiseltalsee-0845_RAMSES3; Geiseltalsee-0950_RAMSES3; Geiseltalsee-1006_RAMSES3; Geiseltalsee-1046_RAMSES3; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; RAMSES3; RAMSES3 Hyperspectral Radiance and Irradiance Sensor; Remote sensing reflectance at 320 nm; Remote sensing reflectance at 320 nm, standard deviation; Remote sensing reflectance at 321 nm; Remote sensing reflectance at 321 nm, standard deviation; Remote sensing reflectance at 322 nm; Remote sensing reflectance at 322 nm, standard deviation; Remote sensing reflectance at 323 nm; Remote sensing reflectance at 323 nm, standard deviation; Remote sensing reflectance at 324 nm; Remote sensing reflectance at 324 nm, standard deviation; Remote sensing reflectance at 325 nm; Remote sensing reflectance at 325 nm, standard deviation; Remote sensing reflectance at 326 nm; Remote sensing reflectance at 326 nm, standard deviation; Remote sensing reflectance at 327 nm; Remote sensing reflectance at 327 nm, standard deviation; Remote sensing reflectance at 328 nm; Remote sensing reflectance at 328 nm, standard deviation; Remote sensing reflectance at 329 nm; Remote sensing reflectance at 329 nm, standard deviation; Remote sensing reflectance at 330 nm; Remote sensing reflectance at 330 nm, standard deviation; Remote sensing reflectance at 331 nm; Remote sensing reflectance at 331 nm, standard deviation; Remote sensing reflectance at 332 nm; Remote sensing reflectance at 332 nm, standard deviation; Remote sensing reflectance at 333 nm; Remote sensing reflectance at 333 nm, standard deviation; Remote sensing reflectance at 334 nm; Remote sensing reflectance at 334 nm, standard deviation; Remote sensing reflectance at 335 nm; Remote sensing reflectance at 335 nm, standard deviation; Remote sensing reflectance at 336 nm; Remote sensing reflectance at 336 nm, standard deviation; Remote sensing reflectance at 337 nm; Remote sensing reflectance at 337 nm, standard deviation; Remote sensing reflectance at 338 nm; Remote sensing reflectance at 338 nm, standard deviation; Remote sensing reflectance at 339 nm; Remote sensing reflectance at 339 nm, standard deviation; Remote sensing reflectance at 340 nm; Remote sensing reflectance at 340 nm, standard deviation; Remote sensing reflectance at 341 nm; Remote sensing reflectance at 341 nm, standard deviation; Remote sensing reflectance at 342 nm; Remote sensing reflectance at 342 nm, standard deviation; Remote sensing reflectance at 343 nm; Remote sensing reflectance at 343 nm, standard deviation; Remote sensing reflectance at 344 nm; Remote sensing reflectance at 344 nm, standard deviation; Remote sensing reflectance at 345 nm; Remote sensing reflectance at 345 nm, standard deviation; Remote sensing reflectance at 346 nm; Remote sensing reflectance at 346 nm, standard deviation; Remote sensing reflectance at 347 nm; Remote sensing reflectance at 347 nm, standard deviation; Remote sensing reflectance at 348 nm; Remote sensing reflectance at 348 nm, standard deviation; Remote sensing reflectance at 349 nm; Remote sensing reflectance at 349 nm, standard deviation; Remote sensing reflectance at 350 nm; Remote sensing reflectance at 350 nm, standard deviation; Remote sensing reflectance at 351 nm; Remote sensing reflectance at 351 nm, standard deviation; Remote sensing reflectance at 352 nm; Remote sensing reflectance at 352 nm, standard deviation; Remote sensing reflectance at 353 nm; Remote sensing reflectance at 353 nm, standard deviation; Remote sensing reflectance at 354 nm; Remote sensing reflectance at 354 nm, standard deviation; Remote sensing reflectance at 355 nm; Remote sensing reflectance at 355 nm, standard deviation; Remote sensing reflectance at 356 nm; Remote sensing reflectance at 356 nm, standard deviation; Remote sensing reflectance at 357 nm; Remote sensing reflectance at 357 nm, standard deviation; Remote sensing reflectance at 358 nm; Remote sensing reflectance at 358 nm, standard deviation; Remote sensing reflectance at 359 nm; Remote sensing reflectance at 359 nm, standard deviation; Remote sensing reflectance at 360 nm; Remote sensing reflectance at 360 nm, standard deviation; Remote sensing reflectance at 361 nm; Remote sensing reflectance at 361 nm, standard deviation; Remote sensing reflectance at 362 nm; Remote sensing reflectance at 362 nm, standard deviation; Remote sensing reflectance at 363 nm; Remote sensing reflectance at 363 nm, standard deviation; Remote sensing reflectance at 364 nm; Remote sensing reflectance at 364 nm, standard deviation; Remote sensing reflectance at 365 nm; Remote sensing reflectance at 365 nm, standard deviation; Remote sensing reflectance at 366 nm; Remote sensing reflectance at 366 nm, standard deviation; Remote sensing reflectance at 367 nm; Remote sensing reflectance at 367 nm, standard deviation; Remote sensing reflectance at 368 nm; Remote sensing reflectance at 368 nm, standard deviation; Remote sensing reflectance at 369 nm; Remote sensing reflectance at 369 nm, standard deviation; Remote sensing reflectance at 370 nm; Remote sensing reflectance at 370 nm, standard deviation; Remote sensing reflectance at 371 nm; Remote sensing reflectance at 371 nm, standard deviation; Remote sensing reflectance at 372 nm; Remote sensing reflectance at 372 nm, standard deviation; Remote sensing reflectance at 373 nm; Remote sensing reflectance at 373 nm, standard deviation; Remote sensing reflectance at 374 nm; Remote sensing reflectance at 374 nm, standard deviation; Remote sensing reflectance at 375 nm; Remote sensing reflectance at 375 nm, standard deviation; Remote sensing reflectance at 376 nm; Remote sensing reflectance at 376 nm, standard deviation; Remote sensing reflectance at 377 nm; Remote sensing reflectance at 377 nm, standard deviation; Remote sensing reflectance at 378 nm; Remote sensing reflectance at 378 nm, standard deviation; Remote sensing reflectance at 379 nm; Remote sensing reflectance at 379 nm, standard deviation; Remote sensing reflectance at 380 nm; Remote sensing reflectance at 380 nm, standard deviation; Remote sensing reflectance at 381 nm; Remote sensing reflectance at 381 nm, standard deviation; Remote sensing reflectance at 382 nm; Remote sensing reflectance at 382 nm, standard deviation; Remote sensing reflectance at 383 nm; Remote sensing reflectance at 383 nm, standard deviation; Remote sensing reflectance at 384 nm; Remote sensing reflectance at 384 nm, standard deviation; Remote sensing reflectance at 385 nm; Remote sensing reflectance at 385 nm, standard deviation; Remote sensing reflectance at 386 nm; Remote sensing reflectance at 386 nm, standard deviation; Remote sensing reflectance at 387 nm; Remote sensing reflectance at 387 nm, standard deviation; Remote sensing reflectance at 388 nm; Remote sensing reflectance at 388 nm, standard deviation; Remote sensing reflectance at 389 nm; Remote sensing reflectance at 389 nm, standard deviation; Remote sensing reflectance at 390 nm; Remote sensing reflectance at 390 nm, standard deviation; Remote sensing reflectance at 391 nm; Remote sensing reflectance at 391 nm, standard deviation; Remote sensing reflectance at 392 nm; Remote sensing reflectance at 392 nm, standard deviation; Remote sensing reflectance at 393 nm; Remote sensing reflectance at 393 nm, standard deviation; Remote sensing reflectance at 394 nm; Remote sensing reflectance at 394 nm, standard deviation; Remote sensing reflectance at 395 nm; Remote sensing reflectance at 395 nm, standard deviation; Remote sensing reflectance at 396 nm; Remote sensing reflectance at 396 nm, standard deviation; Remote sensing reflectance at 397 nm; Remote sensing reflectance at 397 nm, standard deviation; Remote sensing reflectance at 398 nm; Remote sensing reflectance at 398 nm, standard
    Type: Dataset
    Format: text/tab-separated-values, 73502 data points
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  • 99
    Publication Date: 2023-07-03
    Keywords: Angle; Date/time end; Date/time start; Event label; Flag; Germany; Hyperspectral radiometer, TriOS Mess- und Datentechnik GmbH, RAMSES; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Sensor height above water level; Spectral irradiance, downward at 380 nm; Spectral irradiance, downward at 380 nm, standard deviation; Spectral irradiance, downward at 382.5 nm; Spectral irradiance, downward at 382.5 nm, standard deviation; Spectral irradiance, downward at 385 nm; Spectral irradiance, downward at 385 nm, standard deviation; Spectral irradiance, downward at 387.5 nm; Spectral irradiance, downward at 387.5 nm, standard deviation; Spectral irradiance, downward at 390 nm; Spectral irradiance, downward at 390 nm, standard deviation; Spectral irradiance, downward at 392.5 nm; Spectral irradiance, downward at 392.5 nm, standard deviation; Spectral irradiance, downward at 395 nm; Spectral irradiance, downward at 395 nm, standard deviation; Spectral irradiance, downward at 397.5 nm; Spectral irradiance, downward at 397.5 nm, standard deviation; Spectral irradiance, downward at 400 nm; Spectral irradiance, downward at 400 nm, standard deviation; Spectral irradiance, downward at 402.5 nm; Spectral irradiance, downward at 402.5 nm, standard deviation; Spectral irradiance, downward at 405 nm; Spectral irradiance, downward at 405 nm, standard deviation; Spectral irradiance, downward at 407.5 nm; Spectral irradiance, downward at 407.5 nm, standard deviation; Spectral irradiance, downward at 410 nm; Spectral irradiance, downward at 410 nm, standard deviation; Spectral irradiance, downward at 412.5 nm; Spectral irradiance, downward at 412.5 nm, standard deviation; Spectral irradiance, downward at 415 nm; Spectral irradiance, downward at 415 nm, standard deviation; Spectral irradiance, downward at 417.5 nm; Spectral irradiance, downward at 417.5 nm, standard deviation; Spectral irradiance, downward at 420 nm; Spectral irradiance, downward at 420 nm, standard deviation; Spectral irradiance, downward at 422.5 nm; Spectral irradiance, downward at 422.5 nm, standard deviation; Spectral irradiance, downward at 425 nm; Spectral irradiance, downward at 425 nm, standard deviation; Spectral irradiance, downward at 427.5 nm; Spectral irradiance, downward at 427.5 nm, standard deviation; Spectral irradiance, downward at 430 nm; Spectral irradiance, downward at 430 nm, standard deviation; Spectral irradiance, downward at 432.5 nm; Spectral irradiance, downward at 432.5 nm, standard deviation; Spectral irradiance, downward at 435 nm; Spectral irradiance, downward at 435 nm, standard deviation; Spectral irradiance, downward at 437.5 nm; Spectral irradiance, downward at 437.5 nm, standard deviation; Spectral irradiance, downward at 440 nm; Spectral irradiance, downward at 440 nm, standard deviation; Spectral irradiance, downward at 442.5 nm; Spectral irradiance, downward at 442.5 nm, standard deviation; Spectral irradiance, downward at 445 nm; Spectral irradiance, downward at 445 nm, standard deviation; Spectral irradiance, downward at 447.5 nm; Spectral irradiance, downward at 447.5 nm, standard deviation; Spectral irradiance, downward at 450 nm; Spectral irradiance, downward at 450 nm, standard deviation; Spectral irradiance, downward at 452.5 nm; Spectral irradiance, downward at 452.5 nm, standard deviation; Spectral irradiance, downward at 455 nm; Spectral irradiance, downward at 455 nm, standard deviation; Spectral irradiance, downward at 457.5 nm; Spectral irradiance, downward at 457.5 nm, standard deviation; Spectral irradiance, downward at 460 nm; Spectral irradiance, downward at 460 nm, standard deviation; Spectral irradiance, downward at 462.5 nm; Spectral irradiance, downward at 462.5 nm, standard deviation; Spectral irradiance, downward at 465 nm; Spectral irradiance, downward at 465 nm, standard deviation; Spectral irradiance, downward at 467.5 nm; Spectral irradiance, downward at 467.5 nm, standard deviation; Spectral irradiance, downward at 470 nm; Spectral irradiance, downward at 470 nm, standard deviation; Spectral irradiance, downward at 472.5 nm; Spectral irradiance, downward at 472.5 nm, standard deviation; Spectral irradiance, downward at 475 nm; Spectral irradiance, downward at 475 nm, standard deviation; Spectral irradiance, downward at 477.5 nm; Spectral irradiance, downward at 477.5 nm, standard deviation; Spectral irradiance, downward at 480 nm; Spectral irradiance, downward at 480 nm, standard deviation; Spectral irradiance, downward at 482.5 nm; Spectral irradiance, downward at 482.5 nm, standard deviation; Spectral irradiance, downward at 485 nm; Spectral irradiance, downward at 485 nm, standard deviation; Spectral irradiance, downward at 487.5 nm; Spectral irradiance, downward at 487.5 nm, standard deviation; Spectral irradiance, downward at 490 nm; Spectral irradiance, downward at 490 nm, standard deviation; Spectral irradiance, downward at 492.5 nm; Spectral irradiance, downward at 492.5 nm, standard deviation; Spectral irradiance, downward at 495 nm; Spectral irradiance, downward at 495 nm, standard deviation; Spectral irradiance, downward at 497.5 nm; Spectral irradiance, downward at 497.5 nm, standard deviation; Spectral irradiance, downward at 500 nm; Spectral irradiance, downward at 500 nm, standard deviation; Spectral irradiance, downward at 502.5 nm; Spectral irradiance, downward at 502.5 nm, standard deviation; Spectral irradiance, downward at 505 nm; Spectral irradiance, downward at 505 nm, standard deviation; Spectral irradiance, downward at 507.5 nm; Spectral irradiance, downward at 507.5 nm, standard deviation; Spectral irradiance, downward at 510 nm; Spectral irradiance, downward at 510 nm, standard deviation; Spectral irradiance, downward at 512.5 nm; Spectral irradiance, downward at 512.5 nm, standard deviation; Spectral irradiance, downward at 515 nm; Spectral irradiance, downward at 515 nm, standard deviation; Spectral irradiance, downward at 517.5 nm; Spectral irradiance, downward at 517.5 nm, standard deviation; Spectral irradiance, downward at 520 nm; Spectral irradiance, downward at 520 nm, standard deviation; Spectral irradiance, downward at 522.5 nm; Spectral irradiance, downward at 522.5 nm, standard deviation; Spectral irradiance, downward at 525 nm; Spectral irradiance, downward at 525 nm, standard deviation; Spectral irradiance, downward at 527.5 nm; Spectral irradiance, downward at 527.5 nm, standard deviation; Spectral irradiance, downward at 530 nm; Spectral irradiance, downward at 530 nm, standard deviation; Spectral irradiance, downward at 532.5 nm; Spectral irradiance, downward at 532.5 nm, standard deviation; Spectral irradiance, downward at 535 nm; Spectral irradiance, downward at 535 nm, standard deviation; Spectral irradiance, downward at 537.5 nm; Spectral irradiance, downward at 537.5 nm, standard deviation; Spectral irradiance, downward at 540 nm; Spectral irradiance, downward at 540 nm, standard deviation; Spectral irradiance, downward at 542.5 nm; Spectral irradiance, downward at 542.5 nm, standard deviation; Spectral irradiance, downward at 545 nm; Spectral irradiance, downward at 545 nm, standard deviation; Spectral irradiance, downward at 547.5 nm; Spectral irradiance, downward at 547.5 nm, standard deviation; Spectral irradiance, downward at 550 nm; Spectral irradiance, downward at 550 nm, standard deviation; Spectral irradiance, downward at 552.5 nm; Spectral irradiance, downward at 552.5 nm, standard deviation; Spectral irradiance, downward at 555 nm; Spectral irradiance, downward at 555 nm, standard deviation; Spectral irradiance, downward at 557.5 nm; Spectral irradiance, downward at 557.5 nm, standard deviation; Spectral irradiance, downward at 560 nm; Spectral irradiance, downward at 560 nm, standard deviation; Spectral irradiance, downward at 562.5 nm; Spectral irradiance, downward at 562.5 nm, standard deviation; Spectral irradiance, downward at 565 nm;
    Type: Dataset
    Format: text/tab-separated-values, 9372 data points
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  • 100
    Publication Date: 2023-07-03
    Keywords: Angle; DATE/TIME; Event label; Flag; Germany; Inland Water Remote Sensing Validation Campaign 2017; IWRSVC-2017; Principal investigator; Sensor height above water level; Spectral radiance, upward at 1000.518 nm; Spectral radiance, upward at 1001.304 nm; Spectral radiance, upward at 1002.091 nm; Spectral radiance, upward at 1002.877 nm; Spectral radiance, upward at 1003.664 nm; Spectral radiance, upward at 1004.45 nm; Spectral radiance, upward at 1005.236 nm; Spectral radiance, upward at 1006.023 nm; Spectral radiance, upward at 1006.809 nm; Spectral radiance, upward at 1007.595 nm; Spectral radiance, upward at 1008.381 nm; Spectral radiance, upward at 1009.167 nm; Spectral radiance, upward at 1009.953 nm; Spectral radiance, upward at 1010.738 nm; Spectral radiance, upward at 1011.524 nm; Spectral radiance, upward at 1012.31 nm; Spectral radiance, upward at 1013.095 nm; Spectral radiance, upward at 1013.881 nm; Spectral radiance, upward at 1014.666 nm; Spectral radiance, upward at 1015.451 nm; Spectral radiance, upward at 1016.237 nm; Spectral radiance, upward at 1017.022 nm; Spectral radiance, upward at 1017.807 nm; Spectral radiance, upward at 1018.592 nm; Spectral radiance, upward at 1019.377 nm; Spectral radiance, upward at 1020.162 nm; Spectral radiance, upward at 353.585 nm; Spectral radiance, upward at 354.408 nm; Spectral radiance, upward at 355.231 nm; Spectral radiance, upward at 356.055 nm; Spectral radiance, upward at 356.878 nm; Spectral radiance, upward at 357.702 nm; Spectral radiance, upward at 358.525 nm; Spectral radiance, upward at 359.348 nm; Spectral radiance, upward at 360.172 nm; Spectral radiance, upward at 360.995 nm; Spectral radiance, upward at 361.818 nm; Spectral radiance, upward at 362.642 nm; Spectral radiance, upward at 363.465 nm; Spectral radiance, upward at 364.288 nm; Spectral radiance, upward at 365.111 nm; Spectral radiance, upward at 365.935 nm; Spectral radiance, upward at 366.758 nm; Spectral radiance, upward at 367.581 nm; Spectral radiance, upward at 368.405 nm; Spectral radiance, upward at 369.228 nm; Spectral radiance, upward at 370.051 nm; Spectral radiance, upward at 370.874 nm; Spectral radiance, upward at 371.698 nm; Spectral radiance, upward at 372.521 nm; Spectral radiance, upward at 373.344 nm; Spectral radiance, upward at 374.167 nm; Spectral radiance, upward at 374.991 nm; Spectral radiance, upward at 375.814 nm; Spectral radiance, upward at 376.637 nm; Spectral radiance, upward at 377.46 nm; Spectral radiance, upward at 378.283 nm; Spectral radiance, upward at 379.106 nm; Spectral radiance, upward at 379.93 nm; Spectral radiance, upward at 380.753 nm; Spectral radiance, upward at 381.576 nm; Spectral radiance, upward at 382.399 nm; Spectral radiance, upward at 383.222 nm; Spectral radiance, upward at 384.045 nm; Spectral radiance, upward at 384.868 nm; Spectral radiance, upward at 385.692 nm; Spectral radiance, upward at 386.515 nm; Spectral radiance, upward at 387.338 nm; Spectral radiance, upward at 388.161 nm; Spectral radiance, upward at 388.984 nm; Spectral radiance, upward at 389.807 nm; Spectral radiance, upward at 390.63 nm; Spectral radiance, upward at 391.453 nm; Spectral radiance, upward at 392.276 nm; Spectral radiance, upward at 393.099 nm; Spectral radiance, upward at 393.922 nm; Spectral radiance, upward at 394.745 nm; Spectral radiance, upward at 395.568 nm; Spectral radiance, upward at 396.391 nm; Spectral radiance, upward at 397.214 nm; Spectral radiance, upward at 398.037 nm; Spectral radiance, upward at 398.86 nm; Spectral radiance, upward at 399.683 nm; Spectral radiance, upward at 400.506 nm; Spectral radiance, upward at 401.329 nm; Spectral radiance, upward at 402.152 nm; Spectral radiance, upward at 402.974 nm; Spectral radiance, upward at 403.797 nm; Spectral radiance, upward at 404.62 nm; Spectral radiance, upward at 405.443 nm; Spectral radiance, upward at 406.266 nm; Spectral radiance, upward at 407.089 nm; Spectral radiance, upward at 407.911 nm; Spectral radiance, upward at 408.734 nm; Spectral radiance, upward at 409.557 nm; Spectral radiance, upward at 410.38 nm; Spectral radiance, upward at 411.203 nm; Spectral radiance, upward at 412.025 nm; Spectral radiance, upward at 412.848 nm; Spectral radiance, upward at 413.671 nm; Spectral radiance, upward at 414.493 nm; Spectral radiance, upward at 415.316 nm; Spectral radiance, upward at 416.139 nm; Spectral radiance, upward at 416.961 nm; Spectral radiance, upward at 417.784 nm; Spectral radiance, upward at 418.607 nm; Spectral radiance, upward at 419.429 nm; Spectral radiance, upward at 420.252 nm; Spectral radiance, upward at 421.074 nm; Spectral radiance, upward at 421.897 nm; Spectral radiance, upward at 422.72 nm; Spectral radiance, upward at 423.542 nm; Spectral radiance, upward at 424.365 nm; Spectral radiance, upward at 425.187 nm; Spectral radiance, upward at 426.01 nm; Spectral radiance, upward at 426.832 nm; Spectral radiance, upward at 427.655 nm; Spectral radiance, upward at 428.477 nm; Spectral radiance, upward at 429.299 nm; Spectral radiance, upward at 430.122 nm; Spectral radiance, upward at 430.944 nm; Spectral radiance, upward at 431.767 nm; Spectral radiance, upward at 432.589 nm; Spectral radiance, upward at 433.411 nm; Spectral radiance, upward at 434.234 nm; Spectral radiance, upward at 435.056 nm; Spectral radiance, upward at 435.878 nm; Spectral radiance, upward at 436.7 nm; Spectral radiance, upward at 437.523 nm; Spectral radiance, upward at 438.345 nm; Spectral radiance, upward at 439.167 nm; Spectral radiance, upward at 439.989 nm; Spectral radiance, upward at 440.811 nm; Spectral radiance, upward at 441.634 nm; Spectral radiance, upward at 442.456 nm; Spectral radiance, upward at 443.278 nm; Spectral radiance, upward at 444.1 nm; Spectral radiance, upward at 444.922 nm; Spectral radiance, upward at 445.744 nm; Spectral radiance, upward at 446.566 nm; Spectral radiance, upward at 447.388 nm; Spectral radiance, upward at 448.21 nm; Spectral radiance, upward at 449.032 nm; Spectral radiance, upward at 449.854 nm; Spectral radiance, upward at 450.676 nm; Spectral radiance, upward at 451.498 nm; Spectral radiance, upward at 452.32 nm; Spectral radiance, upward at 453.142 nm; Spectral radiance, upward at 453.964 nm; Spectral radiance, upward at 454.786 nm; Spectral radiance, upward at 455.608 nm; Spectral radiance, upward at 456.429 nm; Spectral radiance, upward at 457.251 nm; Spectral radiance, upward at 458.073 nm; Spectral radiance, upward at 458.895 nm; Spectral radiance, upward at 459.716 nm; Spectral radiance, upward at 460.538 nm; Spectral radiance, upward at 461.36 nm; Spectral radiance, upward at 462.181 nm; Spectral radiance, upward at 463.003 nm; Spectral radiance, upward at 463.825 nm; Spectral radiance, upward at 464.646 nm; Spectral radiance, upward at 465.468 nm; Spectral radiance, upward at 466.289 nm; Spectral radiance, upward at 467.111 nm; Spectral radiance, upward at 467.933 nm; Spectral radiance, upward at 468.754 nm; Spectral radiance, upward at 469.576 nm; Spectral radiance, upward at 470.397 nm; Spectral radiance, upward at 471.218 nm; Spectral radiance, upward at 472.04 nm; Spectral radiance, upward at 472.861 nm; Spectral radiance, upward at 473.683 nm; Spectral radiance, upward at 474.504 nm; Spectral radiance, upward at 475.325 nm; Spectral radiance, upward at 476.146 nm; Spectral radiance, upward at 476.968 nm; Spectral radiance, upward at 477.789 nm; Spectral radiance, upward at 478.61 nm; Spectral radiance, upward at 479.431 nm; Spectral radiance, upward at 480.253 nm; Spectral radiance, upward at 481.074 nm; Spectral radiance, upward at 481.895 nm; Spectral radiance, upward at 482.716 nm; Spectral radiance, upward at 483.537 nm; Spectral radiance, upward at 484.358 nm; Spectral radiance, upward at 485.179 nm; Spectral radiance, upward at 486.821 nm; Spectral radiance, upward at 486 nm; Spectral radiance, upward at 487.642 nm; Spectral radiance, upward at 488.463
    Type: Dataset
    Format: text/tab-separated-values, 111220 data points
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