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  • 1
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    Late Glacial and Holocene vegetation and lake changes in SW Yakutia, Siberia, inferred from sedaDNA, pollen, and XRF data (2024)
    Frontiers
    In:  EPIC3Frontiers in Earth Science, Frontiers, 12, pp. 1354284-1354284, ISSN: 2296-6463
    Details
    Publication Date: 2024-05-19
    Description: 〈jats:p〉Only a few palaeo-records extend beyond the Holocene in Yakutia, eastern Siberia, since most of the lakes in the region are of Holocene thermokarst origin. Thus, we have a poor understanding of the long-term interactions between terrestrial and aquatic ecosystems and their response to climate change. The Lake Khamra region in southwestern Yakutia is of particular interest because it is in the transition zones from discontinuous to sporadic permafrost and from summergreen to evergreen boreal forests. Our multiproxy study of Lake Khamra sediments reaching back to the Last Glacial Maximum 21 cal ka BP, includes analyses of organic carbon, nitrogen, XRF-derived elements, sedimentary ancient DNA amplicon sequencing of aquatic and terrestrial plants and diatoms, as well as classical counting of pollen and non-pollen palynomorphs (NPP). The palaeogenetic approach revealed 45 diatom, 191 terrestrial plant, and 65 aquatic macrophyte taxa. Pollen analyses identified 34 pollen taxa and 28 NPP taxa. The inferred terrestrial ecosystem of the Last Glacial comprises tundra vegetation dominated by forbs and grasses, likely inhabited by megaherbivores. By 18.4 cal ka BP a lake had developed with a high abundance of macrophytes and dominant fragilarioid diatoms, while shrubs expanded around the lake. In the Bølling-Allerød at 14.7 cal ka BP both the terrestrial and aquatic systems reflect climate amelioration, alongside lake water-level rise and woodland establishment, which was curbed by the Younger Dryas cooling. In the Early Holocene warmer and wetter climate led to taiga development and lake water-level rise, reflected by diatom composition turnover from only epiphytic to planktonic diatoms. In the Mid-Holocene the lake water level decreased at ca. 8.2 cal ka BP and increased again at ca. 6.5 cal ka BP. At the same time mixed evergreen-summergreen forest expanded. In the Late Holocene, at ca. 4 cal ka BP, vegetation cover similar to modern conditions established. This study reveals the long-term shifts in aquatic and terrestrial ecosystems and a comprehensive understanding of lake development and catchment history of the Lake Khamra region.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
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    A distant traveller: a Late Jurassic nerineoid gastropod (Mollusca, Heterobranchia) on the Maasvlakte 2 beach, the Netherlands (2024)
    In:  Geologie en Mijnbouw vol. 103 no. e9
    Details
    Publication Date: 2024-05-19
    Description: A fragmentary nerineoid gastropod collected from the Maasvlakte 2 beach may be identified as Ptygmatis cf. bruntrutana (Thurmann, 1832). Probably originating from Upper Jurassic strata in north-eastern France, it must have been transported here by a forerunner of the River Meuse (Maas).
    Keywords: Late Jurassic ; Maasvlakte 2 ; Meuse ; Nerineoidea ; Paris Basin ; Ptygmatis
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 3
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    Studies in Papuasian Syzygium (Myrtaceae): 2. The furfuraceous species of subg. Syzygium (2021)
    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 66 no. 1, pp. 57-81
    Details
    Publication Date: 2024-05-19
    Description: The furfuraceous species of Syzygium subg. Syzygium in Papuasia are revised. The scurfy, furfuraceous epidermis that is a feature of the inflorescence branches and sometimes also of the hypanthium, the commonly chestnut brown colour of the dried leaves, and the reduced calyx that occurs in many species are characteristic features of the group. Within this subgenus, a new section Furfuraceum is described to accommodate these morphologically recognisable species. Descriptions are provided for each of the 40 species recognised, 28 of which are new. An identification key, distribution maps and an index to numbered exsiccatae are provided.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Furfuraceum ; identification key ; maps ; Myrtaceae ; Papuasia ; revision ; Syzygium
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 4
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    FjordLight: addendum to PAR data for Arctic fjords (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: Fjords in the Arctic are key ecosystems and of great importance to both natural systems and human societies. The in situ monitoring of these systems is however quite difficult and some variables, such as light availability, are more difficult to collect than others. To address this knowledge gap the 'FjordLight' dataset was published on PANGAEA (Gentili et al., 2023). This dataset provides monthly values for bottom PAR (PAR_B) across seven key Arctic fjords, as well as annual averages and monthly climatology values for PAR_B, surface PAR (PAR(0-)), and the extinction coefficient of photosynthetically available radiation (K_PAR). Thanks to the rapid interest from the community for this dataset, we are now expanding upon it with an addendum: a collection of three additional files for each of the seven sites. Of particular importance to the study of photo-biological processes in the water column is K_PAR; however, the original FjordLight dataset did not include these monthly values because the size of these combined data would make the file large for many users' systems. In the present addendum, all monthly K_PAR data are included. These values are based on estimates of surface turbidity and irradiance derived from remotely sensed observations. Also included in this addendum are one file each for the standard deviation of the monthly climatologies and the annual climatologies for the three PAR variables (e.g. PAR(0-), K_PAR, PAR_B). Note that as these files are in addition to the original FjordLight dataset, they do not contain the same list of global variables and other metadata. All variables in the NetCDF files in this addendum are internally documented. The FjordLight R package that may be utilised to access and work with the FjordLight data has been updated and expanded for reading new files (Gentili et al., 2023; https://cran.r-project.org/web/packages/FjordLight/index.html).
    Keywords: Arctic; Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); extinction coefficient; FACE-IT; fjord; PAR
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
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  • 5
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    Water column raw data (Kongsberg EM712 entire dataset) of RV MARIA S. MERIAN during cruise MSM113 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: Raw multibeam water column data were collected aboard RV MARIA S. MERIAN during cruise MSM113 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 09.12.22-12.01.2023 from Las Palmas, Spain to Las Palmas, Spain in the Central Atlantic Ocean. Data were recorded off the NW-African continental margin and West of La Palma. The main aim of MSM113 was to realise an interdisciplinary approach, including a variety of geophysical, geological, geotechnical and oceanographic methods, to study processes that lead to the formation of large fields of sediment waves at the Northwest African margin. Sound velocity profiles (SVP) were applied on the data for calibration. Please see the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Provision of the data is part of the DAM Underway Project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM712; EM712 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM113; MSM113_0_Underway-7; Multibeam; Number of pings; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; WAVETEAM; Sub:Palma
    Type: Dataset
    Format: text/tab-separated-values, 4158 data points
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    DATA PANGAEA
  • 6
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    Water column raw data (Kongsberg EM712 entire dataset) of RV MARIA S. MERIAN during cruise MSM112 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: Raw water column data were collected aboard RV MARIA S. MERIAN during cruise MSM112 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 07.10.-14.11.2022 from St. John's (Canada) to Cartagena (Colombia) in the Northern and Central Atlantic Ocean. MSM112 focused on the geophysical, sedimentological, and biogeochemical processes of the delta and ROFI, and searched for connections of the river mouth to the La Guajira upwelling system. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Caribbean Sea; Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; EM712; EM712 multibeam echosounder; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM112; MSM112_0_Underway-8; Multibeam; Multibeam Echosounder; Number of pings; raw data; RM ROFI; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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    DATA PANGAEA
  • 7
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV MARIA S. MERIAN during cruise MSM110 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: Raw multibeam bathymetry data were collected aboard RV MARIA S. MERIAN during cruise MSM110 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 07.08.2022 – 29.08.2022 from Reykjavik to Reykjavik (Iceland) in the Northern Atlantic Ocean. Data were recorded in the EEZs of Greenland and Iceland and outside. MSM110 focused on improving our understanding of anthropogenic changes in the biological production and diversity in the Arctic marine regions, and their effects on the ecosystem services as part of the Horizon 2020 project ECOTIP. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and are according to the FAIR principles.
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ECOTIP; ELEVATION; EM122; Event label; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Maria S. Merian; MSM110; MSM110_0_Underway-3; Multibeam; Number of pings; ParaSound; PS; raw data; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 6608 data points
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  • 8
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    Present day and end of century (2100) iron speciation in the surface ocean (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: The main component of this data set comprises calculated inorganic iron concentrations (Fe' = sum of iron hydroxide species). Inorganic iron is the most bioavailable chemical form of Fe in the ocean. Concentrations of Fe' were calculated according to two models, which we refer to as the discrete ligand model and the continuous binding site model. The discrete ligand model, which is currently applied to calculate Fe speciation in global biogeochemical models, combines dissolved Fe concentrations, conditional stability constants and ligand concentrations to obtain inorganic iron, whilst the continuous distribution model uses the NICA-Donnan model to obtain Fe'. The data supports the manuscript "Climate change decreases biologically available iron pool in the surface ocean." In this manuscript we use the continuous binding site model to show that surface ocean Fe' is sufficient for Fe-replete phytoplankton. We apply new estimates of Fe' to a simple phytoplankton growth model to show that both Fe' and relative growth rates will decrease under the high-end future climate scenario (SSP5-8.5) in all Fe-limited ocean regions, and will mitigate current projections of increased primary productivity in Fe-limited high latitudes regions such as the Southern Ocean. Overall, we demonstrate that Fe-binding site heterogeneity is critical for iron speciation, and must be considered when predicting the response of marine primary producers to ongoing changes in ocean chemistry.
    Keywords: Binary Object; Binary Object (File Size); Description; Development of a consistent thermodynamic model of trace element - organic matter interactions in the Ocean; diatoms; dissolved organic carbon (DOC); GL807/2-1; nutrients; pH; speciation
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 9
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    Aircraft measurements of backscatter ratio, particle depolarization and water vapour molecular density profiles over Arctic sea ice and ocean during the HALO-(AC)³ campaign in spring 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: During the HALO-(AC)³ campaign in March and April 2022 downward looking lidar profiles were measured onboard of the High Altitude LOng range research aircraft (HALO) over the Arctic sea ice and ocean using the airborne demonstrator for the WAter vapour Lidar Experiment in Space (WALES). The data set gives time series of profiles of backscatter ratio, particle depolarization and water vapour molecular density measured along the flight path of HALO on 17 days. All flights started from Kiruna, Sweden and headed into the Fram Straight and towards the central Arctic. The goal of the campaign was to study warm air intrusions and cold air outbreaks to and from the Arctic and to follow those air masses over several days with remote sensing instrumentation aboard HALO. The first research flight (RF) was RF02. RF01 was the transfer flight from Oberpfaffenhofen, Germany to Kiruna. Backscatter ratio and aerosol depolarization data is given with at one second time resolution and 15 m vertical binning at a wavelength of 532 nm. The backscatter profiles are extinction corrected using the High Spectral Resolution Lidar (HSRL) method. The water vapour profiles have a time resolution of 12 s and a vertical binning of 15 m. For H2O the vertical resolution is lower than given by the binning, where the real resolution is determined by an averaging kernel which is constant over height and has a full width at half maximum (FWHM) of 250 m. All data is regridded to a constant altitude scale over mean sea level, irrespective of the actual flight altitude.
    Keywords: AC; AC3; airborne measurements; Aircraft; Arctic; Arctic Amplification; Atmospheric and Earth System Research with HALO – High Altitude and Long Range Research Aircraft; Date/Time of event; Event label; File content; HALO; HALO_220312a; HALO_220313a; HALO_220314a; HALO_220315a; HALO_220316a; HALO_220320a; HALO_220321a; HALO_220328a; HALO_220329a; HALO_220330a; HALO_220401a; HALO_220404a; HALO_220407a; HALO_220408a; HALO_220410a; HALO_220411a; HALO_220412a; HALO_AC3; HALO-(AC)³; Lidar; LiDAR; netCDF file; netCDF file (File Size); Remote sensing (Light detection and ranging, LiDAR); RF02; RF03; RF04; RF05; RF06; RF07; RF08; RF09; RF10; RF11; RF12; RF13; RF14; RF15; RF16; RF17; RF18; SPP1294
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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    DATA PANGAEA
  • 10
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    Spectral solar cloud top radiance measured by airborne spectral imaging (AISA Eagle) during the HALO-(AC)³ campaign in 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-19
    Description: In this dataset we provide hyper-spectral fields of visible and near infrared cloud top radiance observed by the AISA Eagle instrument. This instrument was part of the HALO-(AC)³ campaign in March/April 2022. The dataset contains hyperspectral fields of visible and near infrared cloud top radiance observed. AISA Eagle uses a single-line push broom sensor comprising 1024 across-track pixels, it captures measurements of 2D fields of upward radiance across 504 channels spanning wavelengths from 400 nm to 993 nm. Featuring a 36.3° field of view (FOV), it achieves a spatial resolution below 1 meter for targets positioned 1 kilometer away. Throughout HALO-(AC)³, it operated at a frame rate of 20 Hz.
    Keywords: AC; AC3; Aircraft; Arctic; Arctic Amplification; Arctic clouds; Cloud top radiance; Date/Time of event; Event label; HALO-(AC)³; HALO-AC3_20220320_P5_RF01; HALO-AC3_20220322_P5_RF02; HALO-AC3_20220322_P5_RF03; HALO-AC3_20220325_P5_RF04; HALO-AC3_20220328_P5_RF05; HALO-AC3_20220330_P5_RF08; HALO-AC3_20220405_P5_RF11; HALO-AC3_20220407_P5_RF12; HALO-AC3_20220410_P5_RF13; netCDF file; netCDF file (File Size); Optional event label; P5_232_HALO_2022_2203200401; P5_232_HALO_2022_2203220501; P5_232_HALO_2022_2203220602; P5_232_HALO_2022_2203250701; P5_232_HALO_2022_2203280801; P5_232_HALO_2022_2203301101; P5_232_HALO_2022_2204051401; P5_232_HALO_2022_2204071501; P5_232_HALO_2022_2204101601; P5-232_HALO_2022; POLAR 5; radiation
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
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    DATA PANGAEA
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