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  • PANGAEA  (44)
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  • 1
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    Global Early Instrumental Monthly Meteorological Multivariable Database (HCLIM) (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and the construction of a global multivariable (air temperature, pressure, precipitation sum, number of precipitation days) monthly instrumental climate database that encompasses a substantial body of the known early instrumental time series. The dataset contains series compiled from existing databases that start before 1890 (though continuing to the present) as well as a large amount of newly rescued data. All series underwent a quality control procedure and subdaily series were processed to monthly mean values. An inventory was compiled, and the collection was deduplicated based on coordinates and mutual correlations. The data are provided in a common format accompanied by the inventory. The collection totals 12452 meteorological records in 118 countries. The data has been merged from 18250 original data files. The data can be used for climate reconstructions and analyses. It is the most comprehensive global monthly climate data set for the preindustrial period.
    Keywords: A Palaeoreanalysis To Understand Decadal Climate Variability; de-duplication; early instrumental; GlobCover; PALAEO-RA; paleoclimatology; Paleometeorology; quality control; Time series
    Type: Dataset
    Format: application/zip, 24 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    CRP Science Plan (2000)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2017-02-18
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
    Location Call Number Limitation Availability
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    PAPER (OA)
  • 3
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    Ladderane Lipids in Anammox Bacteria: Occurence, Biosynthesis and Application as Environmental Markers (2008)
    PANGAEA
    In:  EPIC3Geologica Ultraiectina, Volume 288., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
    Location Call Number Limitation Availability
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    PAPER (OA)
  • 4
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    Global assessment of soil phosphorus retention potential (2016)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2016-03-07
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/zip
    Format: application/pdf
    Format: application/pdf
    Format: application/msaccess
    Format: application/pdf
    Format: application/zip
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    PAPER (OA)
  • 5
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    Count and biomass records of infauna and sediment characteristics from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2000) of the German research vessel RV Heincke. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    ANDRILL McMurdo Ice Shelf Project, scientific prospectus (2006)
    PANGAEA
    In:  EPIC3ANDRILL contribution 4., Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
    Location Call Number Limitation Availability
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    PAPER (OA)
  • 7
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    Species distribution models and georeferenced occurrence records for Hawaiian Arthropods (Laupala, Drosophila, Tetragnatha, and Nesosydne) (2016)
    PANGAEA
    In:  Supplement to: Hiller, Anna E; Koo, Michelle S; Goodman, Kari R; Shaw, Kerry L; O'Grady, Patrick M; Gillespie, Rosemary G (2019): Niche conservatism predominates in adaptive radiation: comparing the diversification of Hawaiian arthropods using ecological niche modelling. Biological Journal of the Linnean Society, https://doi.org/10.1093/biolinnean/blz023
    Details
    Publication Date: 2024-02-17
    Description: Focal Taxa: Laupala, AMC Clade Drosophila, Tetragnatha, and Nesosydne. We assembled comprehensive occurrence datasets of all known records for each of the four lineages (included here), modeled their distributions using Maxent across the entire archipelago, and quantified niche overlap. Final base layers Mean Annual Air Temperature (°C), Mean Annual Rainfall (mm), Vegetation Height (m), and Normalized Difference Vegetation Index (NDVI) were selected based on optimum AUC values of trial models run. Rasters were obtained for the Rainfall Atlas of Hawaii, Climate of Hawaii, and USGS and resampled to a ~1km by ~1km resolution using smoothing for quantitative variables and nearest neighbor resampling for categorical variables (Giambelluca et al. 2013, Giambelluca et al. 2014, Hawaii Soil Survey 2000). Data presented here are the full set of georeferenced occurrence records, the filtered model inputs, and the final SDM models in ASCII format for each species. See the supplementary material in the corresponding publication (Hiller et al. 2017) for details on the georeferencing protocols used and a list of museum specimen numbers. Note that not all models were included in subsequent analyses due to poor quality (〈3 records as model input or low AUC score).
    Keywords: File content; File format; File size; Hawaii; Hawaiian Islands, North Central Pacific; Species; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 659 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Age and growth of skates of the genus Bathyraja in Argentina (2006)
    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Details
    Publication Date: 2019-07-17
    Description: In the last 20 years directed shark and ray fishery has increased alarmingly everywhere in the world. For most species though, no data on growth rate, mortality, fecundity and other life history aspects exist as of now and management of the fishery is therefore insufficient. Also there still exist methodological difficulties in the age determination of elasmobranchs fishes, a fact which complicates the investigation of growth parameters. This study tried to identify the best ageing methods and estimate growth parameters for ten skate species of the genus Bathyraja, all occurring in the southwest Atlantic in depths of 50m and more. 720 samples were collected on board of argentine research vessels in between 2003 and 2005. Crystal violet and a new staining method using potassium permanganate, both applied on sagittal sections of vertebral centra, proved to be most effective in enhancing the banding pattern in most of the species. Thorns were also tested and readings were consistent with the ones made on vertebral sections. Growth parameters could be derived for six species and for the other four estimates could be made. Growth rate as well as infinite length varied between species, with those attaining bigger sizes having lower growth rates. No latitudinal differences in growth rate could be detected but a comparison with samples from other studies showed that total lengths were always reported to be higher around the Malvinas Islands.
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
    Format: application/pdf
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    PAPER (OA)
  • 9
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    Physical oceanography and current velocity data from mooring M3 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2023)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M3 on the upper part (750 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (21 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 13 SBE56 (22,56,81,106,159,184,6508,260,285,310,335,360,385 mab, sint: 120 s), 4 SBE37 (31, 134, 209, 410 mab, sint: 600 s), 1 RDI ADCP 75 kHz (235 mab, upwardlooking, sint: 2h), 1 SBE39 (435 mab, sint: 900s). Mooring diagrams and information about data processing are provided.
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_162; JR16004_162, PS124_14-1; M3_MOOR_WeddellSea; M3, M3_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_14-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Physical oceanography and current velocity data from mooring M6 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
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