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  • Binary Object; Binary Object (Media Type); Chimerics; deconvolution; Dissolved Organic Matter; DOM; File content; Glass ceramic suction plates; Identification; MS/MS; Orbitrap; soil organic matter; SOM; Structure; Tandem mass spectrometry; Wetzstein_2005; Wetzstein, Germany  (2)
  • CMIP6  (1)
  • 2020-2024  (3)
  • 2020-2022
  • 1980-1984
Collection
Keywords
Publisher
Years
  • 2020-2024  (3)
  • 2020-2022
  • 1980-1984
Year
  • 1
    Publication Date: 2023-12-06
    Description: Abstract
    Description: The new climate dataset BASD-CMIP6-PE for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 projections of 10 GCMs addresses the need for reliable high-resolution (1d, 10km) climate data covering Peru and Ecuador. This dataset includes both historical simulations (1850-2014) and future projections (2015-2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSPs; SSP1-2.6, SSP3-7.0, and SSP5-8.5). The BASD-CMIP6-PE climate data were generated using the trend-preserving Bias Adjustment and Statistical Downscaling (BASD) method (Lange, 2019, 2021) and data from regional observational datasets such as RAIN4PE (Fernandez-Palomino et al., 2021a, b) for precipitation and PISCO-temperature (Huerta et al., 2018) for temperatures as reference data. The Reliability of the BASD-CMIP6-PE was evaluated through hydrological modeling across Peruvian and Ecuadorian river basins in the historical period. The evaluation showed that the BASD-CMIP6-PE is reliable for describing the spatial patterns of atmospheric variables and streamflow simulation, including low and high flows. This suggests the usefulness of the new dataset for climate change impact assessment studies in Peru and Ecuador. The BASD-CMIP6-PE data are available for the domain covering Peru and Ecuador, located between 19°S and 2°N and 82-67°W, at 0.1° spatial and daily temporal resolution. The precipitation unit is mm, and the temperature is in °C. The data are in the NetCDF format and arranged by model, model member, experiment, variable, temporal resolution, and subset period (e.g., canesm5_r1i1p1f1_ssp126_pr_daily_2015_2020.nc).
    Keywords: CMIP6 ; projections ; climate models ; climate change ; high-resolution ; precipitation ; temperature ; Peru ; Ecuador ; Andes ; Amazon ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC TEMPERATURE ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION
    Type: Dataset , Dataset
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-04-20
    Description: Ultrahigh-resolution Fourier transform tandem mass spectrometry was employed to reveal novel structural detail of the natural complex mixture dissolved organic matter (DOM) that is found ubiquitously in soils and rivers. We developed and evaluated a novel approach to decipher the structural detail that is encrypted in DOM. One DOM sample from a spruce forest (Wetzstein, Germany, 50° 27' 13" N; 11° 27' 27" E; 785 meter above sea level) and Suwannee River Natural Organic Matter (SRNOM, purchased from International Humic Substances Society as isolate 2R101N; details given in Green et al. 2015, Environm Eng Sci 32, 1) were used as representative biodegraded DOM mixtures of high complexity and measured by direct-injection tandem mass spectrometry (DI-ESI-Orbitrap-MS/MS). The unknowns in DOM were then compared with indicative tandem MS features (mass differences, "dm" features, written with greek letter delta instead of d) from known standard compounds (14 phenolic standard substances measured in parallel, and 11477 library mass spectra available from the java-based software framework SIRIUS which included nearly 18000 unique molecular structures) and natural product and in-silico structure suggestions. The dataset consists of seven subsets (Data Set S1 - S7), all of which are xlsx files. "Data Set S1", contains the standard compound data and fragmentation sensitivities (14 phenolic standards) and general information on the analyzed parts of the DOM mass spectrum (molecular indices, number of precursors, number of product ions). Data Sets S2 through S5 contain the aligned DOM molecular composition data obtained at different collision energies for four mass windows ("Data Set S2", m/z 241; "Data Set S3", m/z 301; "Data Set S4", m/z 361; "Data Set S5", m/z 417) and include mass difference matching results (non-indicative dm features, standard compound (14 phenolics) dm features, and SIRIUS library spectra Δm features). "Data Set S6" contains the full dm feature lists and several data tables on individual DOM precursor properties (for example, aggregated matching results for indicative dm features (incl. N- and S-containing precursors), DOM precursor fragmentation sensitivity data, two-way clustering data of precursors and dm features, and structure suggestions classified into broader structural families ("scaffolds"). "Data Set S7" contains the results of a two-way clustering analysis using 725 SIRIUS-annotated dm features. In this dataset, the dm data is used to estimate structural compositions of individual DOM precursor ions. More details can be found in the related manuscript by the same authors.
    Keywords: Binary Object; Binary Object (Media Type); Chimerics; deconvolution; Dissolved Organic Matter; DOM; File content; Glass ceramic suction plates; Identification; MS/MS; Orbitrap; soil organic matter; SOM; Structure; Tandem mass spectrometry; Wetzstein_2005; Wetzstein, Germany
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-04-20
    Description: Ultrahigh-resolution Fourier transform tandem mass spectrometry was employed to reveal novel structural detail of the natural complex mixture dissolved organic matter (DOM) that is found ubiquitously in soils and rivers. We developed and evaluated a novel approach to decipher the structural detail that is encrypted in DOM. A DOM sample from a spruce forest (Wetzstein, Germany, 50° 27' 13" N; 11° 27' 27" E; 785 meter above sea level) was used as a representative biodegraded DOM mixture of high complexity and measured by direct-injection tandem mass spectrometry (DI-ESI-Orbitrap-MS/MS). The unknowns in DOM were then compared with indicative tandem MS features (mass differences, "Δm" features) from known standard compounds (14 phenolic standard substances measured in parallel, and 11280 library mass spectra available from the java-based software framework SIRIUS) and natural product and in-silico structure suggestions. The dataset consists of six subsets (Data Set ds01 - ds06), all of which are xlsx files.
    Keywords: Binary Object; Binary Object (Media Type); Chimerics; deconvolution; Dissolved Organic Matter; DOM; File content; Glass ceramic suction plates; Identification; MS/MS; Orbitrap; soil organic matter; SOM; Structure; Tandem mass spectrometry; Wetzstein_2005; Wetzstein, Germany
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
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