Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-461-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-9-461-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
21 Jul 2017
Brief communication |
| 21 Jul 2017
Seabed images from Southern Ocean shelf regions off the northern Antarctic Peninsula and in the southeastern Weddell Sea
Dieter Piepenburg
CORRESPONDING AUTHOR
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Carl-von-Ossietzky-Str. 9–11, 26129 Oldenburg, Germany
Alexander Buschmann
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Amelie Driemel
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Hannes Grobe
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Julian Gutt
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Stefanie Schumacher
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Alexandra Segelken-Voigt
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
Carl von Ossietzky University of Oldenburg, Ammerländer
Heerstraße 114–118, 26129 Oldenburg, Germany
Rainer Sieger
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research Bremerhaven, Am Handelshafen 12, 26570 Bremerhaven, Germany
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Amelie Driemel, Bernd Loose, Hannes Grobe, Rainer Sieger, and Gert König-Langlo
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A. Driemel, H. Grobe, M. Diepenbroek, H. Grüttemeier, S. Schumacher, and R. Sieger
Earth Syst. Sci. Data, 7, 239–244, https://doi.org/10.5194/essd-7-239-2015, https://doi.org/10.5194/essd-7-239-2015, 2015
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Biogeosciences, 11, 3797–3817, https://doi.org/10.5194/bg-11-3797-2014, https://doi.org/10.5194/bg-11-3797-2014, 2014
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Earth Syst. Sci. Data, 6, 69–90, https://doi.org/10.5194/essd-6-69-2014, https://doi.org/10.5194/essd-6-69-2014, 2014
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Here we present a dataset of DNA sequences obtained from size-fractionated seawater samples from the Arctic Ocean that are used to identify taxonomic groups of unicellular plankton. This dataset can be used to investigate the diversity and distribution of plankton groups both by season and by depth and thus increase our understanding of the factors influencing the dynamics of this important part of the Arctic marine ecosystem.
Claire M. Wood, Jamie Alison, Marc S. Botham, Annette Burden, François Edwards, R. Angus Garbutt, Paul B. L. George, Peter A. Henrys, Russel Hobson, Susan Jarvis, Patrick Keenan, Aidan M. Keith, Inma Lebron, Lindsay C. Maskell, Lisa R. Norton, David A. Robinson, Fiona M. Seaton, Peter Scarlett, Gavin M. Siriwardena, James Skates, Simon M. Smart, Bronwen Williams, and Bridget A. Emmett
Earth Syst. Sci. Data, 13, 4155–4173, https://doi.org/10.5194/essd-13-4155-2021, https://doi.org/10.5194/essd-13-4155-2021, 2021
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The Glastir Monitoring and Evaluation Programme (GMEP) ran from 2013 until 2016, as a national programme of ecological study in Wales. GMEP included a large field survey component, collecting data on a range of elements including vegetation, land cover and land use, soils, freshwater, birds, and insect pollinators. GMEP was designed so that surveys could be repeated at regular intervals to monitor the Welsh environment. Data from GMEP have been used to address many applied policy questions.
Casper Kraan, Barry L. Greenfield, and Simon F. Thrush
Earth Syst. Sci. Data, 12, 293–297, https://doi.org/10.5194/essd-12-293-2020, https://doi.org/10.5194/essd-12-293-2020, 2020
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Understanding how the plants and animals that live in the sea floor vary in their spatial patterns of diversity and abundance is fundamental to gaining insight into the role of biodiversity in maintaining ecosystem functioning in coastal ecosystems. Yet data are lacking. Therefore, we collected multi-scale high-resolution data on macrobenthic biodiversity in New Zealand marine sandflats. For 1200 sampling locations we provide data on benthic biodiversity and associated environmental variables.
Renate Degen and Sarah Faulwetter
Earth Syst. Sci. Data, 11, 301–322, https://doi.org/10.5194/essd-11-301-2019, https://doi.org/10.5194/essd-11-301-2019, 2019
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Trait-based approaches (such that consider the life history, morphological, physiological and behavioral characteristics of species) promise new insights in ecology. To facilitate these approaches also in polar regions, we provide the free and easily accessible Arctic Traits Database to the scientific community. Trait information was collected from literature and via communication with experts. At present the database holds trait information for more than 1900 arctic taxa.
Anbu Aravazhi Arunkumar and Arunachalam Manimekalan
Earth Syst. Sci. Data, 10, 1735–1752, https://doi.org/10.5194/essd-10-1735-2018, https://doi.org/10.5194/essd-10-1735-2018, 2018
Astrid Cornils, Rainer Sieger, Elke Mizdalski, Stefanie Schumacher, Hannes Grobe, and Sigrid B. Schnack-Schiel
Earth Syst. Sci. Data, 10, 1457–1471, https://doi.org/10.5194/essd-10-1457-2018, https://doi.org/10.5194/essd-10-1457-2018, 2018
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Copepods are the predominant taxon in marine zooplankton and play an important role in the pelagic food web as intermediators between primary producers, the microbial loop and higher trophic levels. Here, we provide 33 data sets with abundances for a total of 312 copepod taxa from the Southern Ocean, the Magellan region, the Great Meteor Bank and the northern Red Sea, and the Gulf of Aqaba.
Claire M. Wood, Robert G. H. Bunce, Lisa R. Norton, Simon M. Smart, and Colin J. Barr
Earth Syst. Sci. Data, 10, 899–918, https://doi.org/10.5194/essd-10-899-2018, https://doi.org/10.5194/essd-10-899-2018, 2018
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In the 1990s, ecological survey work was carried out in English landscapes containing semi-natural habitats that were perceived to be under threat, or which represented areas of concern ("key habitats"), complementing the national Countryside Survey of Great Britain. The landscapes were lowland heath, chalk and limestone grasslands, coasts and uplands. Standardised procedures were used to record ecological data from representative 1 km squares throughout England in 1992 and 1993.
Bingrui Jia and Guangsheng Zhou
Earth Syst. Sci. Data, 10, 893–898, https://doi.org/10.5194/essd-10-893-2018, https://doi.org/10.5194/essd-10-893-2018, 2018
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Dahurian larch (Larix gmelinii) is the dominant species in northeast China, which is situated in the southernmost part of the global boreal forest and is undergoing great climate change. Its growth characteristics (tree height, diameter at breast height, tree volume and/or stand volume) were collected from published studies from 1965 to 2015. The data set (N=743) provides a quantitative reference for plantation management practices and boreal forest growth prediction under future climate change.
Claire M. Wood, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, Simon M. Smart, W. Andrew Scott, Peter A. Henrys, David C. Howard, Simon M. Wright, Michael J. Brown, Rod J. Scott, Rick C. Stuart, and John W. Watkins
Earth Syst. Sci. Data, 10, 745–763, https://doi.org/10.5194/essd-10-745-2018, https://doi.org/10.5194/essd-10-745-2018, 2018
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The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The mapping of ecological landscape elements has subsequently been repeated in 1984, 1990, 1998 and 2007.
Claire M. Wood, Simon M. Smart, Robert G. H. Bunce, Lisa R. Norton, Lindsay C. Maskell, David C. Howard, W. Andrew Scott, and Peter A. Henrys
Earth Syst. Sci. Data, 9, 445–459, https://doi.org/10.5194/essd-9-445-2017, https://doi.org/10.5194/essd-9-445-2017, 2017
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The Countryside Survey (CS) of Great Britain consists of an extensive set of repeated ecological measurements at a national scale, covering a time span of 29 years. CS was first undertaken in 1978 to monitor ecological and land use change in Britain using standardised procedures for recording ecological data from representative 1 km squares throughout the country. The vegetation component has subsequently been repeated in 1990, 1998 and 2007, and changes may be related to a range of drivers.
Teja A. Wibawa, Patrick Lehodey, and Inna Senina
Earth Syst. Sci. Data, 9, 163–179, https://doi.org/10.5194/essd-9-163-2017, https://doi.org/10.5194/essd-9-163-2017, 2017
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Geo-referenced catch and fishing effort data of the bigeye tuna fisheries in the Indian Ocean over 1952–2014 were analyzed and standardized to facilitate population dynamics modeling studies. A total of 30 fisheries were finally determined from longline, purse seine and other-gears data sets. Nevertheless, still one-third of total nominal catch is not included due to a total lack of geo-referenced information and would need to be processed separately.
Claire M. Wood and Robert G. H. Bunce
Earth Syst. Sci. Data, 8, 177–189, https://doi.org/10.5194/essd-8-177-2016, https://doi.org/10.5194/essd-8-177-2016, 2016
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In 1971, an ecological survey of the native pinewoods of Scotland was carried out. This unique habitat is widely recognised, not only by ecologists for its inherent biodiversity but also by the general public for its cultural and amenity value. The repeatable survey collected information on ground flora, soils, forest structure and general site information from 27 major pinewood sites. The results from the survey helped to set the conservation agenda for the old Caledonian pinewoods.
Claire M. Wood and Robert G. H. Bunce
Earth Syst. Sci. Data, 8, 89–103, https://doi.org/10.5194/essd-8-89-2016, https://doi.org/10.5194/essd-8-89-2016, 2016
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A survey of the natural environment was undertaken in Shetland in 1974, after concern was expressed that large-scale development from the new oil industry could threaten the natural features of the islands. A framework was constructed by the Institute of Terrestrial Ecology on which to select samples for the survey. The vegetation and habitat data that were collected, along with the sampling framework, have recently been made public.
C. M. Wood, S. M. Smart, and R. G. H. Bunce
Earth Syst. Sci. Data, 7, 203–214, https://doi.org/10.5194/essd-7-203-2015, https://doi.org/10.5194/essd-7-203-2015, 2015
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The Woodland Survey of Great Britain is a unique data set, consisting of a detailed range of ecological measurements at a national scale, covering a time span of 30 years. A set of 103 semi-natural woods spread across Britain were first surveyed in 1971, which were again surveyed in 2000-2003. Standardised methods of describing the trees, shrubs, ground flora, soils and general habitats present were used for both sets of surveys.
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Short summary
An ocean floor observation system (OFOS) was used to collect seabed imagery on two cruises of the RV Polarstern, ANT-XXIX/3 (PS81) to the Antarctic Peninsula from January to March 2013 and ANT-XXXI/2 (PS96) to the Weddell Sea from December 2015 to February 2016. We report on the image and data collections gathered during these cruises. Seabed images, including metadata, are available from the data publisher PANGAEA via https://doi.org/10.1594/PANGAEA.872719 (PS81) and https://doi.org/10.1594/PANGAEA.862097 (PS96).
An ocean floor observation system (OFOS) was used to collect seabed imagery on two cruises of...
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