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  • Data  (158)
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Keywords
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  • 11
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    Unknown
    PANGAEA
    In:  Supplement to: Ritter, Matias do Nascimento; Erthal, Fernando (2013): Fidelity bias in mollusk assemblages from coastal lagoons of Southern Brazil. Revista Brasileira de Paleontologia, 16(2), 225-236, https://doi.org/10.4072/rbp.2013.2.05
    Publication Date: 2023-05-12
    Description: The South America southern coast exhibits many outcrops with abundant shell beds, from the Pleistocene through the Recent. How much biological information is preserved within these shell beds? Or, what is the actual probability a living community has to leave a fossil record corresponding to these shell deposits? Although ecological and biogeographical aspects might had been pointed, considering these temporal scales, up to the moment there is no taphonomically-oriented studies available. Quantitative comparisons between living (LAs), death (DAs) and fossil assemblages (FAs) are important not only in strictly taphonomic studies, but have grown a leading tool for conservation paleobiology analysis. Comparing LAs, DAs and FAs from estuaries and lagoons in the Rio Grande do Sul Coastal Plain makes possible to quantitatively understand the nature and quantity of biological information preserved in fossil associations in Holocene lagoon facies. As already noted by several authors, spatial scale parts the analysis, but we detected that the FAs refl ects live ones, rather than dead ones, as previously not realized. The results herein obtained illustrates that species present in DA are not as good preserved in recent (Holocene) fossil record as originally thought. Strictly lagoon species are most prone to leave fossil record. The authors consider that the fi delity pattern here observed for estuarine mollusks to be driven by (i) high temporal and spatial variability in the LAs, (ii) spatial mixing in the DA and (iii) differential preservation of shells, due to long residence times in the taphonomically active zone.
    Keywords: Class; CLSBrasil; Coastal Lagoons, southern Brasil; Dead; Fossil; Live; Species
    Type: Dataset
    Format: text/tab-separated-values, 221 data points
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  • 12
    Publication Date: 2023-05-12
    Keywords: Area/locality; Conductivity, average; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
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  • 13
    Publication Date: 2023-05-12
    Keywords: Conductivity, average; Depth, bottom/max; ELEVATION; Heat flow; LATITUDE; LONGITUDE; Method comment; Number; Number of temperature data; Sample, optional label/labor no; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 1241 data points
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  • 14
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Atmospheric Physics @ AWI; AWI_AtmoPhy; AWIPEV; AWIPEV_based; Calibration using the GRUAN radiosounding product; Comment; DATE/TIME; Factor; Koldeway Aerosol Raman Lidar (KARL), Raman channels; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Signal/noise ratio; Signal strength; Water vapour mixing ratio
    Type: Dataset
    Format: text/tab-separated-values, 411226 data points
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  • 15
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Atmospheric Physics @ AWI; AWI_AtmoPhy; AWIPEV; AWIPEV_based; Calibration using the GRUAN radiosounding product; Comment; DATE/TIME; Factor; Koldeway Aerosol Raman Lidar (KARL), Raman channels; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Signal/noise ratio; Signal strength; Water vapour mixing ratio
    Type: Dataset
    Format: text/tab-separated-values, 224905 data points
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  • 16
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Atmospheric Physics @ AWI; AWI_AtmoPhy; AWIPEV; AWIPEV_based; Comment; DATE/TIME; Factor; Koldeway Aerosol Raman Lidar (KARL), Raman channels; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Processed by the Vaisala Algorithm; Signal/noise ratio; Signal strength; Water vapour mixing ratio
    Type: Dataset
    Format: text/tab-separated-values, 631716 data points
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  • 17
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Atmospheric Physics @ AWI; AWI_AtmoPhy; AWIPEV; AWIPEV_based; Comment; DATE/TIME; Factor; Koldeway Aerosol Raman Lidar (KARL), Raman channels; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Processed by the Vaisala Algorithm; Signal/noise ratio; Signal strength; Water vapour mixing ratio
    Type: Dataset
    Format: text/tab-separated-values, 539277 data points
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  • 18
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Atmospheric Physics @ AWI; AWI_AtmoPhy; AWIPEV; AWIPEV_based; Comment; DATE/TIME; Factor; Koldeway Aerosol Raman Lidar (KARL), Raman channels; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Processed by the Vaisala Algorithm; Signal/noise ratio; Signal strength; Water vapour mixing ratio
    Type: Dataset
    Format: text/tab-separated-values, 1050446 data points
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  • 19
    Publication Date: 2023-10-28
    Description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain clwvi as a function of measurement time, elevation and azimuth angle observing direction. clwvi is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of clwvi. Note, that clwvi values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; clouds; DATE/TIME; File format; File name; File size; Koldewey; liquid water path; microwave radiometer; Research station; RS; Spitsbergen, Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 972 data points
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  • 20
    Publication Date: 2023-10-28
    Description: The microwave radiometer HATPRO has seven K band (22.235-31.4 GHz) channels that are sensitive to the path integrated amount of cloud liquid water (clwvi) and the path integrated amount of water vapor (precipitable water, prw). These files contain prw as a function of measurement time, elevation and azimuth angle observing direction. prw is based on multi-variate regression retrievals (see also Crewell and Löhnert, 2003; doi:10.1029/2002RS002654). Provided uncertainties describe the expected standard error of prw. Note, that prw values are given for all available times so that it is up to the user to decide whether or not to use the values if quality flags are set. Additionally included are temperature, pressure and humidity at the instrument location as well quality flags characterizing the instrument and retrieval performance.
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; DATE/TIME; File format; File name; File size; integrated water vapor; Koldewey; microwave radiometer; precipitable water; Research station; RS; Spitsbergen, Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 1312 data points
    Location Call Number Expected Availability
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