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  • 1
    Publication Date: 2024-05-11
    Description: A hitherto unpublished scripture of Buddhist dharani literature, the Vajratuṇḍasamayakalparāja has been recently discovered in five Nepalese manuscripts. This rare Sanskrit text from around the fifth century focuses on the ritual practice of thaumaturgic weather control for successful agriculture by the vidyadhara spell-master, linking the incantation tradition to the economic power of the Nepalese Buddhist community.
    Keywords: Nepal ; Indology ; Incantation ; Sanskrit ; thema EDItEUR::N History and Archaeology::NH History::NHM Australasian and Pacific history ; thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs::QRF Buddhism
    Language: English
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  • 2
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    PANGAEA
    In:  Supplement to: Nechad, Bouchra; Ruddick, Kevin; Schroeder, Thomas; Oubelkheir, Kadija; Blondeau-Patissier, David; Cherukuru, Nagur; Brando, Vittorio E; Dekker, Arnold G; Clementson, Lesley; Banks, Andrew; Maritorena, Stéphane; Werdell, P Jeremy; Sá, Carolina; Brotas, Vanda; Caballero de Frutos, Isabel; Ahn, Yu-Hwan; Salama, Suhyb; Tilstone, Gavin; Martinez-Vicente, Victor; Foley, David; McKibben, Morgaine; Nahorniak, Jasmine; Peterson, Tawnya D; Siliò-Calzada, Ana; Röttgers, Rüdiger; Lee, Zhongping; Peters, Marco (2015): CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters. Earth System Science Data, 7(2), 319-348, https://doi.org/10.5194/essd-7-319-2015
    Publication Date: 2024-05-11
    Description: The CoastColour project Round Robin (CCRR) project (http://www.coastcolour.org) funded by the European Space Agency (ESA) was designed to bring together a variety of reference datasets and to use these to test algorithms and assess their accuracy for retrieving water quality parameters. This information was then developed to help end-users of remote sensing products to select the most accurate algorithms for their coastal region. To facilitate this, an inter-comparison of the performance of algorithms for the retrieval of in-water properties over coastal waters was carried out. The comparison used three types of datasets on which ocean colour algorithms were tested. The description and comparison of the three datasets are the focus of this paper, and include the Medium Resolution Imaging Spectrometer (MERIS) Level 2 match-ups, in situ reflectance measurements and data generated by a radiative transfer model (HydroLight). The datasets mainly consisted of 6,484 marine reflectance associated with various geometrical (sensor viewing and solar angles) and sky conditions and water constituents: Total Suspended Matter (TSM) and Chlorophyll-a (CHL) concentrations, and the absorption of Coloured Dissolved Organic Matter (CDOM). Inherent optical properties were also provided in the simulated datasets (5,000 simulations) and from 3,054 match-up locations. The distributions of reflectance at selected MERIS bands and band ratios, CHL and TSM as a function of reflectance, from the three datasets are compared. Match-up and in situ sites where deviations occur are identified. The distribution of the three reflectance datasets are also compared to the simulated and in situ reflectances used previously by the International Ocean Colour Coordinating Group (IOCCG, 2006) for algorithm testing, showing a clear extension of the CCRR data which covers more turbid waters.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
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    PANGAEA
    In:  Supplement to: Berg, Florian; Almeland, Oda W; Skadal, Julie; Slotte, Aril; Andersson, Leif; Folkvord, Arild (2018): Genetic factors have a major effect on growth, number of vertebrae and otolith shape in Atlantic herring (Clupea harengus). PLoS ONE, 13(1), e0190995, https://doi.org/10.1371/journal.pone.0190995
    Publication Date: 2024-05-11
    Description: Atlantic herring, Clupea harengus, have complex population structures and different populations can be found in fully marine, as well as nearly freshwater conditions. Mixing of populations is known, but the extent of connectivity is still unclear. Ripe spring spawning herring were collected in marine (salinity 35, Atlantic) and brackish water (salinity 6, Baltic Sea) conditions. One Atlantic herring female was crossed with one Atlantic and one Baltic male generating an F1-generation consisting of Atlantic purebreds and Atlantic/Baltic hybrids which were incubated and co-reared at two different salinities, 16 and 35 respectively, for three years. The F1-generation was repeatedly sampled for length measurements, vertebral counts and otoliths were also extracted for shape analysis. Atlantic purebreds grew better than Atlantic/Baltic hybrids at salinity 35, but not at salinity 16. In contrast, Atlantic/Baltic hybrids achieved larger size-at-age than the wild caught Baltic parental group. Mean vertebral counts and otolith aspect ratios were higher for Atlantic purebreds than Atlantic/Baltic hybrids, consistent with the parental groups. There were no differences in vertebral counts and otolith aspect ratios between herring with the same genotype but raised in different salinities. A Canonical Analysis of Principal Coordinates was applied to analyze the variation in wavelet coefficients that described otolith shape. The first discriminating axis identified the differences between Atlantic purebreds and Atlantic/Baltic hybrids, while the second axis represented salinity differences. These results demonstrate that otolith shape and vertebral counts have a significant genetic component and are therefore useful for studies on population dynamics and connectivity.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 4
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    PANGAEA
    In:  Supplement to: Liu, Yangyang; Röttgers, Rüdiger; Ramírez-Pérez, Marta; Dinter, Tilman; Steinmetz, Francois; Nöthig, Eva-Maria; Hellmann, Sebastian; Wiegmann, Sonja; Bracher, Astrid (2018): Underway spectrophotometry in the Fram Strait (European Arctic Ocean): a highly resolved chlorophyll a data source for complementing satellite ocean color. Optics Express, 26(14), A678-A696, https://doi.org/10.1364/OE.26.00A678
    Publication Date: 2024-05-11
    Description: We present a data set on particulate absorption line height at 676 and surface Chl-a concentration using underway spectrophotometry (Wetlabs AC-s instrument) and collocated discrete water sampling (measured by High Pressure Liquid Chromatography, HPLC, and Quantitative Filtration Technique) during two summer cruises PS93.2 and PS99.2 in the Fram Strait. Additionally we present for the discrete water samples the fraction of different phytoplankton groups on the total biomass, approximated by the chl-a concentration, which are derived from phytoplankton marker pigments also measured by HPLC.
    Keywords: AC3; Arctic Amplification; ARK-XXIX/2.2; ARK-XXX/1.2; CT; FRAM; FRontiers in Arctic marine Monitoring; Polarstern; PS93.2; PS93.2-track; PS99.2; PS99.2-track; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 5
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    PANGAEA
    In:  Supplement to: Bracher, Astrid; Taylor, Marc H; Taylor, Bettina B; Dinter, Tilman; Röttgers, Rüdiger; Steinmetz, Francois (2015): Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations. Ocean Science, 11(1), 139-158, https://doi.org/10.5194/os-11-139-2015
    Publication Date: 2024-05-11
    Description: The composition and abundance of algal pigments provide information on phytoplankton community characteristics such as photoacclimation, overall biomass and taxonomic composition. In particular, pigments play a major role in photoprotection and in the light-driven part of photosynthesis. Most phytoplankton pigments can be measured by high-performance liquid chromatography (HPLC) techniques applied to filtered water samples. This method, as well as other laboratory analyses, is time consuming and therefore limits the number of samples that can be processed in a given time. In order to receive information on phytoplankton pigment composition with a higher temporal and spatial resolution, we have developed a method to assess pigment concentrations from continuous optical measurements. The method applies an empirical orthogonal function (EOF) analysis to remote-sensing reflectance data derived from ship-based hyperspectral underwater radiometry and from multispectral satellite data (using the Medium Resolution Imaging Spectrometer - MERIS - Polymer product developed by Steinmetz et al., 2011, doi:10.1364/OE.19.009783) measured in the Atlantic Ocean. Subsequently we developed multiple linear regression models with measured (collocated) pigment concentrations as the response variable and EOF loadings as predictor variables. The model results show that surface concentrations of a suite of pigments and pigment groups can be well predicted from the ship-based reflectance measurements, even when only a multispectral resolution is chosen (i.e., eight bands, similar to those used by MERIS). Based on the MERIS reflectance data, concentrations of total and monovinyl chlorophyll a and the groups of photoprotective and photosynthetic carotenoids can be predicted with high quality. As a demonstration of the utility of the approach, the fitted model based on satellite reflectance data as input was applied to 1 month of MERIS Polymer data to predict the concentration of those pigment groups for the whole eastern tropical Atlantic area. Bootstrapping explorations of cross-validation error indicate that the method can produce reliable predictions with relatively small data sets (e.g., 〈 50 collocated values of reflectance and pigment concentration). The method allows for the derivation of time series from continuous reflectance data of various pigment groups at various regions, which can be used to study variability and change of phytoplankton composition and photophysiology.
    Type: Dataset
    Format: application/zip, 45 datasets
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  • 6
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven | Supplement to: Liu, Yangyang; Boss, Emmanuel; Chase, Alison P; Xi, Hongyan; Zhang, Xiaodong; Röttgers, Rüdiger; Pan, Yanqun; Bracher, Astrid (2019): Retrieval of phytoplankton pigments from underway spectrophotometry in the Fram Strait. Remote Sensing, 11(3), 318, https://doi.org/10.3390/rs11030318
    Publication Date: 2024-05-11
    Description: We present data sets on: 1) the concentrations of various phytoplankton pigments (unit: mg/m³) from discrete samples measured using High Pressure Liquid Chromatography (HPLC); 2) the concentrations of various phytoplankton pigments (unit: mg/m³) estimated from underway AC-S particulate absorption data (Fucoxanthin, 19'-hexanoyloxyfucoxanthin and Diadinoxanthin are estimated using SVD-NNLS-9 matrix inversion method; total Chlorophyll a, b, Chlorophyll c1+2, photosynthetic and photoprotective carotenoids are estimated using Gaussian decomposition); and 3) the spectral particulate absorption and attenuation coefficients and their standard deviation (unit: 1/m) derived from underway AC-S measurements during the cruises PS93.2, PS99.2 and PS107 on R/V POLARSTERN in the Fram Strait.
    Keywords: AC3; Arctic Amplification; FRAM; FRontiers in Arctic marine Monitoring
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Liu, Yangyang; Boss, Emmanuel; Chase, Alison P; Xi, Hongyan; Zhang, Xiaodong; Röttgers, Rüdiger; Pan, Yanqun; Bracher, Astrid (2019): Retrieval of phytoplankton pigments from underway spectrophotometry in the Fram Strait. Remote Sensing, 11(3), 318, https://doi.org/10.3390/rs11030318
    Publication Date: 2024-05-11
    Description: Absorption coefficients (abs) and optical density (OD) by total particles, phytoplankton and non-algal particles (NAP) were measured with standard deviation (sd) estimated on water samples collected from underway AC-S flow-through system outflow and CTD. Measurements were performed using QFT-ICAM (Röttgers et al., 2016) as described in Liu et al. (2018) and Liu et al. (2019). 1. About sampling: a) underway samples were collected from unfiltered AC-S outflow (depth: 11m); CTD samples with 5-6 depths were collected on upcast. b) vacuum pressure for filtration: maximum 200 hPa c) samples were measured fresh (not preserved). d) blank filters were collected by soaking them in 0.2um filtered seawater. e) replicates were not collected. 2. About measurements: a) Instrument: light source: UV-VIS lamp (CF-1000- HC lamp, Illumination Technology, USA); absorption meter: Quantitative Filter Technique - Integrating Cavity Absorption Meter (QFT-ICAM) (Röttgers et al., 2016) with 80 mm- diameter integrating sphere; detector: photodiode array spectrometer (AVASPEC-ULS2048-RS-USB2, Avantes, the Netherlands). b) wavelength range of scan and resolution: 313.5-875.7 nm, 0.3 nm. c) slit band width: 2 nm. d) sample filters were bleached with 10% sodium hypochlorite (NaClO) solution for the OD measurement of NAP. e) samples were measured for four times and bleached samples were measured twice. f) dark current and blank filters were measured and subtracted. 3. About data analysis: a) interpolated wavelength range and resolution: 320-844 nm, 2nm. b) wavelength range for fluorescence correction: 670:800 nm. c) diameter of sample patch on GF/F filter: 2.133 cm. d) pathlength amplification factor (beta correction factor): 4.06 (Röttgers et al., 2016). e) no scattering correction for total particle absorption is applied; NAP absorption was adjusted with an offset in the range of 710-750 nm so that the median value of NAP absorption equals the median value of in total particle absorption in this spectral range. This adjustment is based on the assumption that phytoplankton pigments do not absorb in near-infrared (Neeley et al., 2018). This adjustment was not applied to NAP OD data. f) NAP absorption data from underway samples collected during 2017-07-28T16:46 and 2017-08-10T18:21 were missing. To calculate the corresponding phytoplankton absorption, the missing NAP data were taken the same as the ones from 2017-07-28T19:04 and 2017-08-10T15:00, respectively. However, this was not applied to NAP OD data. References: 1) Liu, Y., et al., 2018, doi:10.1364/OE.26.00A678 2) Liu, Y., et al., 2019, doi:10.3390/rs11030318 3) Neeley, A.R., et al., 2018. Ocean Optics & Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation: Absorption Coefficient. 4) Röttgers, R., et al., 2016, doi:10.1364/OE.24.0000A1
    Keywords: absorption; AC3; Arctic Amplification; FRAM; FRontiers in Arctic marine Monitoring; non-algal particles; optical density; particulate matter; Phytoplankton
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Liu, Yangyang; Boss, Emmanuel; Chase, Alison P; Xi, Hongyan; Zhang, Xiaodong; Röttgers, Rüdiger; Pan, Yanqun; Bracher, Astrid (2019): Retrieval of phytoplankton pigments from underway spectrophotometry in the Fram Strait. Remote Sensing, 11(3), 318, https://doi.org/10.3390/rs11030318
    Publication Date: 2024-05-11
    Description: Absorption coefficients by total particles (ap), phytoplankton (aph) and non-algal particles (aNAP) were measured on water samples collected from underway AC-S flow-through system outflow and CTD. Measurements were performed using a dual-beam UV/VIS spectrophotometer as described in Liu et al. (2018) and Liu et al. (2019). 1. About sampling: a) underway samples were collected from unfiltered AC-S outflow (depth: 11m); CTD samples with 5-6 depths were collected on upcast. b) vacuum pressure for filtration: maximum 200 hPa c) samples were shock frozen in liquid nitrogen and then stored in -80°C until measurement after cruise. d) blank filters were collected by soaking them in 0.2um filtered seawater. e) replicates were not collected. 2. About measurements: a) Instrument: dual-beam UV/VIS Spectrophotometer (Cary 4000, Varian Inc., Palo Alto, CA, USA) equipped with a 150 mm integrating sphere (external DRA-900, Varian, Inc. and Labsphere Inc., made from Spectralon (TM)). b) wavelength range of scan and resolution: 300-850 nm, 1 nm. c) slit band width: 2 nm. d) scan speed: 150 nm min−1 e) Sample filters were extracted with 95% methanol for the absorption measurement of NAP. f) The baseline of the spectrophotometer was set with a dry piece of a blank filter. Filters were wetted with purified water and measured regularly after every fifth sample filter served as references. 3. About data analysis: a) interpolated wavelength range and resolution: 350-750 nm, 1nm. b) pathlength amplification factor (beta correction factor): 4.5 (Röttgers and Gehnke 2012; Röttgers et al., 2014). c) Null-point scattering correction at 750 nm is applied.
    Keywords: absorption; AC3; Arctic Amplification; FRAM; FRontiers in Arctic marine Monitoring; non-algal particles; particulate matter; Phytoplankton
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 9
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Liu, Yangyang; Boss, Emmanuel; Chase, Alison P; Xi, Hongyan; Zhang, Xiaodong; Röttgers, Rüdiger; Pan, Yanqun; Bracher, Astrid (2019): Retrieval of phytoplankton pigments from underway spectrophotometry in the Fram Strait. Remote Sensing, 11(3), 318, https://doi.org/10.3390/rs11030318
    Publication Date: 2024-05-11
    Description: Absorption coefficients (abs) and optical density (OD) by total particles, phytoplankton and non-algal particles (NAP) were measured with standard deviation (sd) estimated on water samples collected from underway AC-S flow-through system outflow and CTD. Measurements were performed using QFT-ICAM (Röttgers et al., 2016) as described in Liu et al. (2018) and Liu et al. (2019). 1. About sampling: a) underway samples were collected from unfiltered AC-S outflow (depth: 11m); CTD samples with 5-6 depths were collected on upcast. b) vacuum pressure for filtration: maximum 200 hPa c) samples were measured fresh (not preserved). d) blank filters were collected by soaking them in 0.2um filtered seawater. e) replicates were not collected. 2. About measurements: a) Instrument: light source: UV-VIS lamp (CF-1000- HC lamp, Illumination Technology, USA); absorption meter: Quantitative Filter Technique - Integrating Cavity Absorption Meter (QFT-ICAM) (Röttgers et al., 2016) with 80 mm- diameter integrating sphere; detector: photodiode array spectrometer (AVASPEC-ULS2048-RS-USB2, Avantes, the Netherlands). b) wavelength range of scan and resolution: 313.5-875.7 nm, 0.3 nm. c) slit band width: 2 nm. d) sample filters were bleached with 10% sodium hypochlorite (NaClO) solution for the OD measurement of NAP. e) samples were measured for four times and bleached samples were measured twice. f) dark current and blank filters were measured and subtracted. 3. About data analysis: a) interpolated wavelength range and resolution: 320-844 nm, 2nm. b) wavelength range for fluorescence correction: 670:800 nm. c) diameter of sample patch on GF/F filter: 2.133 cm. d) pathlength amplification factor (beta correction factor): 4.06 (Röttgers et al., 2016). e) no scattering correction for total particle absorption is applied; NAP absorption was adjusted with an offset in the range of 710-750 nm so that the median value of NAP absorption equals the median value of in total particle absorption in this spectral range. This adjustment is based on the assumption that phytoplankton pigments do not absorb in near-infrared (Neeley et al., 2018). This adjustment was not applied to NAP OD data. f) NAP absorption data from underway samples collected during 2016-06-17T21:20, 2016-06-18T00:26, 2016-06-18T03:19, 2016-06-18T06:38, 2016-06-15T12:12, and 2016-06-15T15:09 were missing. To calculate the corresponding phytoplankton absorption, the missing NAP data were taken the same as the ones from 2016-06-17T18:13, 2016-06-18T18:09, 2016-06-18T18:09, 2016-06-18T18:09, 2016-06-15T09:15, and 2016-06-15T09:15, respectively. However, this was not applied to NAP OD data.
    Keywords: absorption; AC3; Arctic Amplification; FRAM; FRontiers in Arctic marine Monitoring; non-algal particles; optical density; particulate matter; Phytoplankton
    Type: Dataset
    Format: application/zip, 9 datasets
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  • 10
    Publication Date: 2024-05-11
    Description: The particulate export of photosynthetically fixed carbon from the surface ocean to the ocean interior is a key component of the biological carbon pump and, by extension, of the global carbon cycle. An extensively applied method to estimate the downward flux of particulate carbon is the ²³⁴Th technique, which uses the deficit of ²³⁴Th with respect to its parent, ²³⁸U, coupled with the C/²³⁴Th ratios measured in sinking. More than two decades have passed since the ²³⁴Th technique was first applied to determine the export flux of particulate carbon but the C/²³⁴Th ratio on sinking particles remains as one of the principal uncertainties of this approach. Here we present a global database of 9110 C/²³⁴Th ratios collected using in situ pumps, sediment traps and bottles. Ratios have been grouped, based on the particle size or the device used for the sampling, as: i) Large particles ii) Small particles, iii) Sediment traps and iv) Bulk. The samples were collected between 1989 and 2016 and are distributed among most of the open ocean Longhurst provinces, with some coastal areas also represented. As expected, the data are not evenly distributed along the water column, with most of the data points found in the upper 100-200 m, although the depth range expands from surface down to 〉5500 m. Globally, the ratios range from 0.012 to 1778 µmol/dpm. This database shows how particulate C/²³⁴Th ratios vary with time, depth, particle size and location, which is important for the application of the ²³⁴Th approach and the estimate of the global magnitude of the biological carbon pump.
    Keywords: 234Th; C/234Th ratios; carbon export; global; POC
    Type: Dataset
    Format: application/zip, 2 datasets
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