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  • 1
    Publication Date: 2023-02-24
    Keywords: A_EN179-BC1; ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Lead-210; Lead-210, standard deviation; Porosity, fractional
    Type: Dataset
    Format: text/tab-separated-values, 77 data points
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Demars, Benoit O L; Kemp, Joanna L; Friberg, Nikolai; Usseglio-Polatera, Philippe; Harper, David M (2012): Linking biotopes to invertebrates in rivers: biological traits, taxonomic composition and diversity. Ecological Indicators, 23, 301-311, https://doi.org/10.1016/j.ecolind.2012.04.011
    Publication Date: 2023-01-13
    Description: There is a long tradition of river monitoring using macroinvertebrate communities to assess environmental quality in Europe. A promising alternative is the use of species life-history traits. Both methods, however, have relied on the time-consuming identification of taxa. River biotopes, 1-100 m**2 'habitats' with associated species assemblages, have long been seen as a useful and meaningful way of linking the ecology of macroinvertebrates and river hydro-morphology and can be used to assess hydro-morphological degradation in rivers. Taxonomic differences, however, between different rivers had prevented a general test of this concept until now. The species trait approach may overcome this obstacle across broad geographical areas, using biotopes as the hydro-morphological units which have characteristic species trait assemblages. We collected macroinvertebrate data from 512 discrete patches, comprising 13 river biotopes, from seven rivers in England and Wales. The aim was to test whether river biotopes were better predictors of macroinvertebrate trait profiles than taxonomic composition (genera, families, orders) in rivers, independently of the phylogenetic effects and catchment scale characteristics (i.e. hydrology, geography and land cover). We also tested whether species richness and diversity were better related to biotopes than to rivers. River biotopes explained 40% of the variance in macroinvertebrate trait profiles across the rivers, largely independently of catchment characteristics. There was a strong phylogenetic signature, however. River biotopes were about 50% better at predicting macroinvertebrate trait profiles than taxonomic composition across rivers, no matter which taxonomic resolution was used. River biotopes were better than river identity at explaining the variability in taxonomic richness and diversity (40% and 〈=10%, respectively). Detailed trait-biotope associations agreed with independent a priori predictions relating trait categories to near river bed flows. Hence, species traits provided a much needed mechanistic understanding and predictive ability across a broad geographical area. We show that integration of the multiple biological trait approach with river biotopes at the interface between ecology and hydro-morphology provides a wealth of new information and potential applications for river science and management.
    Keywords: Avon_River; Dove_River; England; RIVER; Sampling river; Smite_River; Swale_River; Teifi_River; Wales; Welland_River; Wissey_River
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
    Publication Date: 2023-01-13
    Keywords: Absorber abundance; Adult stages; Avon_River; Deposit feeder abundance; Detritus feeder abundance; Dispersal aerial, active; Dispersal aerial, passive; Dispersal aquatic, active; Dispersal aquatic, passive; Dove_River; Egg stages; England; Event label; Filter feeder abundance; Gill respiration; Hydrostatic vesicle respiration; Larval stages; Life cycle 〈= 1 year; Life cycle 〉 1 year; Life cycles per year 〈 1; Life cycles per year = 1; Life cycles per year 〉 1; Locomotion: crawler; Locomotion: flying; Locomotion: full water swimmer; Locomotion: surface swimmer; Macroinvertebate feeder abundance; Macrophyte feeder abundance; Maximal potential size 〉 8 cm; Maximal potential size 0.25-0.5 cm; Maximal potential size 0.5-1 cm; Maximal potential size 0-0.25 cm; Maximal potential size 1-2 cm; Maximal potential size 2-4 cm; Maximal potential size 4-8 cm; Microinvertebrate feeder abundance; Microorganism feeder abundance; Microphyte feeder abundance; Parasite abundance; Piercer abundance; Plant debris feeder abundance; Plastron respiration; Predator abundance; Pupa stages; Reproduction asexual; Reproduction by cemented, isolated eggs; Reproduction by cemented or fixed clutches; Reproduction by clutches in vegetation; Reproduction by free, isolated eggs; Reproduction by free clutches; Reproduction by terrestrial clutches; Reproduction ovovivipar; Resistance forms cocoons; Resistance forms diapause or dormancy; Resistance forms eggs, statoblasts; Resistance forms housings; Resistance forms none; RIVER; Sample code/label; Sample comment; Sampling river; Scavenger abundance; Scraper abundance; Shredder abundance; Smite_River; Spiracle respiration; Substrate relation: burrower; Substrate relation: interstitial; Substrate relation: permanently attached; Substrate relation: temporarily attached; Swale_River; Tegument respiration; Teifi_River; Vertebrate feeder abundance; Wales; Welland_River; Wissey_River
    Type: Dataset
    Format: text/tab-separated-values, 33280 data points
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  • 4
    Publication Date: 2023-01-30
    Description: Inclination, declination, and relative palaeointensity calculated as a composite (WINPSV-12K) of four sediment cores (+54-03/57PC, +54-03/64PC, +54-03/67PC, +54-03/68PC) from Windermere, UK, spanning the Holocene. The inclination and declination are reliable, but the RPI is not reliable and should not be used in publications. It is made available for those who wish to plot it anyway. For each variable we have included the calculated values and the 5% and 95% confidence envelope limits. Values are calaculated for every 50 year timestep.
    Keywords: +54-03/57PC; +54-03/64PC; +54-03/67PC; +54-03/68PC; AGE; British Geological Survey; Calculated; COMPCORE; Composite Core; Confidence interval lower limit; Confidence interval upper limit; Declination; Holocene; Inclination; lake sediments; Lake Windermere, United Kingdom; Magnetic; Palaeomagnetic; Paleomagnetic; Paleosecular variation; PC; Piston corer; Principal component analyses (PCA); Relative paleointensity proxy; U-channel; Windermere; WINPSV-12K
    Type: Dataset
    Format: text/tab-separated-values, 2106 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Wang, Zhixiang; Huang, Chunju; Licht, Alexis; Zhang, Rui; Kemp, David B (2019): Middle to late Miocene eccentricity forcing on lake expansion in NE Tibet. Geophysical Research Letters, https://doi.org/10.1029/2019GL082283
    Publication Date: 2023-01-30
    Description: The East Asian summer monsoon (EASM) variability on orbital timescale has been extensively investigated in Quaternary loess and speleothems. However, EASM variability during pre-Quaternary time remains poorly understood. Here, we report a continuous upper Miocene cyclostratigraphic record from lake deposits of the Tianshui Basin, Northeast Tibet, to reconstruct past variations of the regional hydrological cycle. Our results, combined with previously published cyclostratigraphic records from Northeast Tibet, show that regional lake expansion cycles have been consistently dominated by ~100 kyr eccentricity forcing over most of the middle to late Miocene. These ~100 kyr cycles corroborate a significant forcing of the East Asian hydrological cycle by Antarctic ice sheet variations at that time. It is, however, unclear if this forcing affected EASM intensity or westerly-derived moisture supply to the Far East. Regardless of the nature of the main source of precipitation in Northeast Tibet during the Miocene, these results emphasize the existence of a strong teleconnection between Antarctic ice-sheet modulations and the continental climate of Asia.
    Keywords: China; lake level variations; magnetic susceptibility; Miocene; NE Tibet; OUTCROP; Outcrop sample; Tianshui Basin; Yaodian_section
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 6
    Publication Date: 2023-02-07
    Keywords: China; DEPTH, sediment/rock; lake level variations; magnetic susceptibility; Magnetic susceptibility; Miocene; NE Tibet; OUTCROP; Outcrop sample; Tianshui Basin; Yaodian_section
    Type: Dataset
    Format: text/tab-separated-values, 1770 data points
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  • 7
    Publication Date: 2023-02-08
    Keywords: China; DEPTH, sediment/rock; lake level variations; magnetic susceptibility; Miocene; NE Tibet; OUTCROP; Outcrop sample; Rubidium; Rubidium, standard deviation; Strontium; Strontium, standard deviation; Tianshui Basin; Yaodian_section
    Type: Dataset
    Format: text/tab-separated-values, 7080 data points
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  • 8
    Publication Date: 2023-02-24
    Keywords: A_EN179-BC2; ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Lead-210; Lead-210, standard deviation; Porosity, fractional
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 9
    Publication Date: 2023-02-24
    Keywords: A_EN179-BC3; ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Lead-210; Lead-210, standard deviation; Porosity, fractional
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 10
    Publication Date: 2023-02-24
    Keywords: A_EN179-BC4; ADEPD; ADEPDCruises; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; BC; Box corer; Calcium carbonate; Carbon, organic, total; DEPTH, sediment/rock; Lead-210; Lead-210, standard deviation; Porosity, fractional
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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