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  • 1
    Publication Date: 2024-02-17
    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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  • 2
    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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  • 3
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    Unknown
    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
    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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  • 4
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Gould, Jessica; Kienast, Markus; Dowd, M; Schefuß, Enno (2019): An open-ocean assessment of alkenone δD as a paleo-salinity proxy. Geochimica et Cosmochimica Acta, 246, 478-497, https://doi.org/10.1016/j.gca.2018.12.004
    Publication Date: 2023-12-22
    Description: Sea surface salinity (SSS) is the least constrained major variable of the past (paleo) ocean but is fundamental in controlling the density of seawater and thus large-scale ocean circulation. The hydrogen isotopic composition (δD) of non-exchangeable hydrogen of algal lipids, specifically alkenones, has been proposed as a promising new proxy for paleo SSS. The δD of surface seawater is correlated with SSS, and laboratory culture studies have shown the δD of algal growth water to be reflected in the δD of alkenones. However, a large-scale field study testing the validity of this proxy is still lacking. Here we present the δD of open-ocean Atlantic and Pacific surface waters and coincident δD of alkenones sampled by underway filtration. Two transects of approximately 100° latitude in the Atlantic Ocean and more than 50° latitude in the Western Pacific sample much of the range of open ocean salinities and seawater δD, and thus allow probing the relationship between δD of seawater and alkenones. Overall, the open ocean δD alkenone data correlate significantly with SSS, and also agree remarkably well with δD water vs δD alkenone regressions developed from culture studies. Subtle deviations from these regressions are discussed in the context of physiological factors as recorded in the carbon isotopic composition of alkenones. In a best-case scenario, the data presented here suggest that SSS variations as low as 1.2 can be reconstructed from alkenone δD.
    Keywords: Alkenone, C37; Alkenone, C37, δ13C; Alkenone, C37, δ13C, standard deviation; Alkenone, unsaturation index UK'37; Alkenones; AMT_1; AMT_10; AMT_11; AMT_12; AMT_13; AMT_14; AMT_15; AMT_17; AMT_18; AMT_19; AMT_2; AMT_20; AMT_21; AMT_22; AMT_23; AMT_25; AMT_27; AMT_28; AMT_29; AMT_3; AMT_30; AMT_31; AMT_32; AMT_34; AMT_35; AMT_36; AMT_37; AMT_38; AMT_4; AMT_40; AMT_41; AMT_42; AMT_43; AMT_45; AMT_46; AMT_47; AMT_48; AMT_49; AMT_5; AMT_50; AMT_52; AMT_54; AMT_6; AMT_60; AMT_8; AMT_9; AMT20; Comment; Coral Sea; EISPAC/WESTWIND; Event label; hydrogen isotopic composition; Isotopic fractionation factor; Isotopic fractionation factor, standard deviation; James Cook; Latitude of event; Longitude of event; open-ocean; proxy calibration; Sample comment; Sea surface salinity; Sea surface temperature; SO228; SO256; SO256_1; SO256_10; SO256_12; SO256_17; SO256_19; SO256_2; SO256_20; SO256_21; SO256_23; SO256_24; SO256_25; SO256_3; SO256_4; Sonne; Sonne_2; TACTEAC; Tasman Sea; Torres Strait; Underway water sampling; UWS; WEP1; WEP30; WEP31; WEP33; WEP37; WEP39; WEP40; WEP41; WEP42; WEP43; δ Deuterium, alkenone, C37; δ Deuterium, alkenone, C37, standard deviation; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 672 data points
    Location Call Number Limitation Availability
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  • 5
    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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  • 6
    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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  • 7
    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 (2011) 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.
    Keywords: Area/locality; Biomass, wet mass; Counts; DATE/TIME; DEPTH, water; Event label; Gear; HE296; HE296/865-1; HE296/865-2; HE296/865-3; HE296/866-2; HE296/866-3; HE296/866-4; HE296/867-2; HE296/867-3; HE296/867-4; HE296/868-1; HE296/868-2; HE296/868-3; HE296/903-1; HE296/903-2; HE296/904-1; HE296/905-1; HE296/905-2; HE296/905-4; HE296/906-2; HE296/906-3; HE296/906-4; HE296/907-2; HE296/907-3; HE296/907-4; HE296/908-2; HE296/908-3; HE296/908-4; HE296/912-1; HE296/912-3; HE296/912-4; HE296/913-1; HE296/913-3; HE296/913-4; HE296/914-1; HE296/914-3; HE296/914-4; HE296/915-2; HE296/915-3; HE296/915-4; HE296/916-2; HE296/916-3; HE296/916-4; HE296/917-1; HE296/917-2; HE296/917-3; HE296/918-1; HE296/918-2; HE296/918-4; HE296/919-1; HE296/919-3; HE296/919-4; HE296/920-1; HE296/920-2; HE296/920-3; HE296/921-1; HE296/921-3; HE296/921-4; HE296/923-1; HE296/923-2; HE296/923-3; HE296/924-1; HE296/924-2; HE296/924-3; HE296/925-1; HE296/925-2; HE296/925-3; HE296/926-1; HE296/926-3; HE296/926-4; HE296/927-2; HE296/927-3; HE296/927-4; HE296/928-1; HE296/928-3; HE296/928-4; HE296/929-1; HE296/929-2; HE296/929-3; HE296/930-1; HE296/930-2; HE296/930-3; HE296/931-1; HE296/931-2; HE296/931-3; HE296/932-1; HE296/932-3; HE296/932-4; HE296/933-1; HE296/933-2; HE296/933-4; HE296/934-1; HE296/934-2; HE296/934-3; HE296/935-1; HE296/935-2; HE296/935-4; HE296/936-1; HE296/936-2; HE296/936-3; HE296/949-1; HE296/949-2; HE296/949-3; HE296/950-1; HE296/950-2; HE296/950-4; HE296/951-1; HE296/951-3; HE296/951-4; HE296/952-1; HE296/952-3; HE296/952-4; HE296/953-1; HE296/953-2; HE296/953-3; HE296/954-1; HE296/954-2; HE296/954-3; HE296/955-1; HE296/955-2; HE296/955-4; HE296/956-1; HE296/956-2; HE296/956-3; HE296/965-1; HE296/965-2; HE296/965-3; HE296/992-1; HE296/992-3; HE296/992-4; HE296/993-2; HE296/993-3; HE296/993-4; HE313; HE313/916-2; HE313/916-3; HE313/916-4; HE313/917-2; HE313/917-3; HE313/917-4; HE313/918-2; HE313/918-3; HE313/918-4; HE313/919-2; HE313/919-3; HE313/919-4; HE313/920-2; HE313/920-3; HE313/920-4; HE313/921-1; HE313/921-4; HE313/922-2; HE313/922-3; HE313/922-4; HE313/923-2; HE313/923-3; HE313/923-4; HE313/924-2; HE313/924-3; HE313/924-4; HE313/925-2; HE313/925-3; HE313/925-4; HE313/926-2; HE313/926-3; HE313/926-4; HE313/927-2; HE313/927-3; HE313/927-4; HE313/928-2; HE313/928-3; HE313/928-4; HE313/929-2; HE313/929-3; HE313/929-4; HE313/930-2; HE313/930-3; HE313/930-4; HE313/931-2; HE313/931-3; HE313/931-4; HE313/932-2; HE313/932-3; HE313/932-4; HE313/933-2; HE313/933-3; HE313/933-4; HE313/934-2; HE313/934-3; HE313/934-4; HE313/935-2; HE313/935-3; HE313/935-4; HE313/936-2; HE313/936-3; HE313/936-4; HE313/941-2; HE313/941-3; HE313/941-4; HE313/942-2; HE313/942-3; HE313/942-4; HE313/943-2; HE313/943-3; HE313/943-4; HE313/944-2; HE313/944-3; HE313/944-4; HE313/945-2; HE313/945-3; HE313/945-4; HE313/946-2; HE313/946-3; HE313/946-4; HE313/947-2; HE313/947-3; HE313/947-4; HE313/948-2; HE313/948-3; HE313/948-4; HE313/955-2; HE313/955-3; HE313/955-4; HE313/956-2; HE313/956-3; HE313/956-4; HE313/957-2; HE313/957-3; HE313/957-4; HE313/958-2; HE313/958-3; HE313/958-4; HE313/959-2; HE313/959-3; HE313/959-4; HE313/960-2; HE313/960-3; HE313/960-4; HE313/961-2; HE313/961-3; HE313/961-4; HE313/962-2; HE313/962-3; HE313/962-4; HE313/963-2; HE313/963-3; HE313/963-4; HE313/964-2; HE313/964-3; HE313/964-4; HE313/965-2; HE313/965-3; HE313/965-4; HE313/966-2; HE313/966-3; HE313/966-4; HE313/967-2; HE313/967-3; HE313/967-4; HE313/968-2; HE313/968-3; HE313/968-4; HE313/969-2; HE313/969-3; HE313/969-4; HE340; HE340/03-2; HE340/03-3; HE340/03-4; HE340/04-2; HE340/04-3; HE340/04-4; HE340/05-2; HE340/05-3; HE340/05-4; HE340/06-2; HE340/06-3; HE340/06-4; HE340/07-2; HE340/07-3; HE340/07-4; HE340/08-2; HE340/08-3; HE340/08-4; HE340/09-2; HE340/09-3; HE340/09-4; HE340/10-2; HE340/10-3; HE340/10-4; HE340/11-2; HE340/11-3; HE340/11-4; HE340/12-2; HE340/12-3; HE340/12-4; HE340/13-2; HE340/13-3; HE340/13-4; HE340/14-2; HE340/14-3; HE340/14-4; HE340/15-2; HE340/15-3; HE340/15-4; HE340/16-2; HE340/16-3; HE340/16-4; HE340/17-2; HE340/17-3; HE340/17-4; HE340/18-2; HE340/18-3; HE340/18-4; HE340/19-2; HE340/19-3; HE340/19-4; HE340/20-2; HE340/20-3; HE340/20-4; HE340/21-2; HE340/21-3; HE340/21-4; HE340/22-2; HE340/22-3; HE340/22-4; HE340/23-2; HE340/23-3; HE340/23-4; HE340/24-2; HE340/24-3; HE340/24-4; HE340/25-2; HE340/25-3; HE340/25-4; HE340/26-2; HE340/26-3; HE340/26-4; HE340/27-2; HE340/27-3; HE340/27-4; HE340/47-2; HE340/47-3; HE340/47-4; HE340/48-2; HE340/48-3; HE340/48-4; HE340/49-2; HE340/49-3; HE340/49-4; HE340/50-2; HE340/50-3; HE340/50-4; HE340/51-2; HE340/51-3; HE340/51-4; HE340/56-2; HE340/56-3; HE340/56-4; HE340/57-2; HE340/57-3; HE340/57-4; HE340/58-2; HE340/58-3; HE340/58-4; HE340/59-2; HE340/59-3; HE340/59-4; HE340/60-2; HE340/60-3; HE340/60-4; HE340/61-2; HE340/61-3; HE340/61-4; HE340/62-2; HE340/62-3; HE340/62-4; HE340/63-2; HE340/63-3; HE340/63-4; HE340/64-2; HE340/64-3; HE340/64-4; HE340/65-2; HE340/65-3; HE340/65-4; HE340/66-2; HE340/66-3; HE340/66-4; HE340/67-2; HE340/67-3; HE340/67-4; HE340/73-2; HE340/73-3; HE340/73-4; HE340/74-2; HE340/74-3; HE340/74-4; HE369; HE369/001-2; HE369/001-3; HE369/001-4; HE369/002-1; HE369/003-1; HE369/004-1; HE369/005-1; HE369/006-1; HE369/007-1; HE369/008-1; HE369/009-1; HE369/010-1; HE369/011-1; HE369/012-1; HE369/015-1; HE369/016-1; HE369/017-1; HE369/018-1; HE369/023-2; HE369/023-3; HE369/023-4; HE369/024-1; HE369/025-1; HE369/026-1; HE369/027-1; HE369/028-1; HE369/029-1; HE369/030-1; HE369/031-1; HE369/032-1; HE369/033-1; HE369/034-1; HE369/035-1; HE369/036-1; HE369/058-1; HE369/059-1; HE369/060-1; HE369/061-1; HE369/062-1; HE369/063-1; HE369/064-1; HE369/065-1; HE369/066-1; HE369/067-1; HE369/068-1; HE369/069-1; HE369/070-1; HE369/071-1; Heincke; LATITUDE; LONGITUDE; North Sea; Penetration depth; Project; Replicate; Scientific name; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 90465 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-01-10
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) 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 SBE39 (435 mab, sint: 900s). Mooring diagrams and information about data processing are provided.
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_162; JR16004_162, PS124_14-1; LATITUDE; LONGITUDE; M3_MOOR_WeddellSea; M3, M3_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS124; PS124_14-1; Salinity; Temperature, water; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 15513098 data points
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-01-10
    Description: Time series data of 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 RDI ADCP 75 kHz (235 mab, upwardlooking, with sampling intervall: 2h. Mooring diagrams and information about data processing are provided.
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_162; JR16004_162, PS124_14-1; LATITUDE; LONGITUDE; 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: text/tab-separated-values, 387804 data points
    Location Call Number Limitation Availability
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  • 10
    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 (2011) 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.
    Keywords: Area/locality; Campaign; DATE/TIME; Event label; HE296; HE296/865-1; HE296/866-1; HE296/867-1; HE296/868-1; HE296/904-1; HE296/905-1; HE296/906-1; HE296/907-1; HE296/908-1; HE296/912-1; HE296/913-1; HE296/914-1; HE296/915-1; HE296/916-1; HE296/917-1; HE296/918-1; HE296/919-1; HE296/920-1; HE296/921-1; HE296/923-1; HE296/924-1; HE296/925-1; HE296/926-1; HE296/927-1; HE296/928-1; HE296/929-2; HE296/930-1; HE296/931-1; HE296/932-1; HE296/933-1; HE296/934-1; HE296/935-1; HE296/936-1; HE296/949-1; HE296/950-1; HE296/951-1; HE296/952-3; HE296/953-1; HE296/954-1; HE296/955-1; HE296/956-2; HE296/965-1; HE296/992-1; HE296/993-1; HE313; HE313/916-1; HE313/917-1; HE313/918-1; HE313/919-1; HE313/920-1; HE313/921-1; HE313/922-1; HE313/924-1; HE313/925-1; HE313/926-1; HE313/927-1; HE313/928-1; HE313/929-1; HE313/930-1; HE313/931-1; HE313/932-1; HE313/933-1; HE313/934-1; HE313/935-1; HE313/936-1; HE313/941-1; HE313/942-1; HE313/943-1; HE313/944-1; HE313/945-1; HE313/946-1; HE313/947-1; HE313/948-1; HE313/955-1; HE313/956-1; HE313/957-1; HE313/958-1; HE313/959-1; HE313/960-1; HE313/961-1; HE313/962-1; HE313/963-1; HE313/964-1; HE313/965-1; HE313/966-1; HE313/967-1; HE313/968-1; HE313/969-1; HE340; HE340/03-1; HE340/04-1; HE340/05-1; HE340/06-1; HE340/07-1; HE340/08-1; HE340/09-1; HE340/10-1; HE340/11-1; HE340/12-1; HE340/13-1; HE340/14-1; HE340/15-1; HE340/16-1; HE340/17-1; HE340/18-1; HE340/19-1; HE340/20-1; HE340/21-1; HE340/22-1; HE340/23-1; HE340/24-1; HE340/25-1; HE340/26-1; HE340/27-1; HE340/47-1; HE340/48-1; HE340/49-1; HE340/50-1; HE340/51-1; HE340/56-1; HE340/57-1; HE340/58-1; HE340/59-1; HE340/60-1; HE340/61-1; HE340/62-1; HE340/63-1; HE340/64-1; HE340/65-1; HE340/66-1; HE340/67-1; HE340/73-1; HE340/74-1; HE369; HE369/001-1; HE369/002-1; HE369/003-1; HE369/004-1; HE369/005-1; HE369/006-1; HE369/007-1; HE369/008-1; HE369/009-1; HE369/010-1; HE369/011-1; HE369/012-1; HE369/015-1; HE369/016-1; HE369/017-1; HE369/018-1; HE369/023-1; HE369/024-1; HE369/025-1; HE369/026-1; HE369/027-1; HE369/028-1; HE369/029-1; HE369/030-1; HE369/031-1; HE369/032-1; HE369/033-1; HE369/034-1; HE369/035-1; HE369/036-1; HE369/058-1; HE369/059-1; HE369/060-1; HE369/061-1; HE369/062-1; HE369/063-1; HE369/064-1; HE369/065-1; HE369/066-1; HE369/067-1; HE369/068-1; HE369/069-1; HE369/070-1; HE369/071-1; Heincke; LATITUDE; LONGITUDE; Loss on ignition; mesh sieved; North Sea; Project; Replicate; Sample mass; Sample method; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.125 mm; Size fraction 〉 0.250 mm; Size fraction 〉 0.500 mm, gravel; Size fraction 〉 1 mm, gravel; Size fraction 〉 2 mm, gravel; Station label; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 2640 data points
    Location Call Number Limitation Availability
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