25,434 Works

(Table 2) Taxonomic composition of diatoms from bottom deposits of the Kronotsky Bay, supplement to: Tsoy, Irina B (2003): Eocene diatoms and silicoflagellates from the Kronotskii Bay deposits (East Kamchatka). Stratigrafiya. Geologicheskaya Korrelyatsiya (Stratigraphy. Geological Correlation), 11(4), 71-86

Irina B Tsoy
Eocene diatom and silicoflagellate complexes from deposits of the Kronotsky Bay are presented. Pro tempore they are the most ancient finds of fossil phytoplankton with silica skeletons in the Northwest Pacific. More than 130 diatom species belonging to 59 genera and 24 silicoflagellate species belonging to 5 genera have been determined. Three Middle Eocene complexes (of the Lisitzinia kanayai, Lisitzinia inconspicua var. trilobata, and Praecymatosira monomembranaceae zones) and one presumably Middle-Late Eocene complex (of the...

Seawater carbonate chemistry, biomass and calcification of Porites spp. corals during experiments, 2011, supplement to: Edmunds, Peter J (2011): Zooplanktivory ameliorates the effects of ocean acidification on the reef coral Porites spp. Limnology and Oceanography, 56(6), 2402-2410

Peter J Edmunds
I tested the hypothesis that the effects of high pCO2 and temperature on massive Porites spp. (Scleractinia) are modified by heterotrophic feeding (zooplanktivory). Small colonies of massive Porites spp. from the back reef of Moorea, French Polynesia, were incubated for 1 month under combinations of temperature (29.3°C vs. 25.6°C), pCO2 (41.6 vs. 81.5 Pa), and feeding regimes (none vs. ad libitum access to live Artemia spp.), with the response assessed using calcification and biomass. Area-normalized...

(Figure 2) Diatom relative abundance of sediment core PS58/254-1, supplement to: Konfirst, Matthew Alan; Scherer, Reed P; Hillenbrand, Claus-Dieter; Kuhn, Gerhard (2012): A marine diatom record from the Amundsen Sea – Insights into oceanographic and climatic response to the Mid-Pleistocene Transition in the West Antarctic sector of the Southern Ocean. Marine Micropaleontology, 92-93, 40-51

Matthew Alan Konfirst, Reed P Scherer, Claus-Dieter Hillenbrand & Gerhard Kuhn
The goal of this study is to assess the changes that have occurred during the Mid-Pleistocene Transition, an important transitional period in cryosphere evolution, by examining the siliceous microfossil record of sediments collected proximal to a major ice drainage outlet for the West Antarctic Ice Sheet. Core PS58/254 was collected from a sediment drift on the upper continental rise in the Amundsen Sea, directly offshore from Pine Island Bay, one of the three main discharge...

A fractional vegetation cover remote sensing product on pan-arctic scale, Version 2, with link to geotiff image

Marcel Urban, Sören Hese, Martin Herold, Stefan Pöcking & Christiane C Schmullius
In the high northern latitudes the vegetation cover and land surface structure is affected by seasonal freeze/thaw dynamics of the uppermost permafrost layer (active layer). The land cover in the arctic regions is characterized by low vegetation species (shrubs, grasses, mosses) in the northernmost regions as well as the boreal forest in the southern parts.The pan-arctic data product presented here is based on user requirements which were defined in the ESA DUE Permafrost for the...

Circumpolar surface soil moisture and freeze/thaw surface status remote sensing products (Version 2) with links to geotiff images and NetCDF files (2007-01 to 2010-09)

Christoph Paulik, Thomas Melzer, Sebastian Hahn, Annett Bartsch, Birgit Heim, Kirsten Elger & Wolfgang Wagner
This dataset is part of the ESA Data User Element (DUE) Permafrost Full Product Set (doi:10.1594/PANGAEA.780111).MetOp ASCAT data have been used for both the near surface soil moisture (SSM) product and determination of freeze/thaw status at pan-boreal/arctic scale. Metop-A, launched in October 2006 by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), is the first of three satellites within EUMETSAT's Polar System (EPS). Alternative global products exist from passive microwave sensors. In case...

Global distributions of diazotrophs abundance, biomass and nitrogen fixation rates - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types, supplement to: Luo, Yawei; Doney, Scott C; Anderson, L A; Benavides, Mar; Berman-Frank, I; Bode, Antonio; Bonnet, S; Boström, Kjärstin H; Böttjer, D; Capone, D G; Carpenter, E J; Chen, Yaw-Lin; Church, Matthew J; Dore, John E; Falcón, Luisa I; Fernández, A; Foster, R A; Furuya, Ken; Gomez, Fernando; Gundersen, Kjell; Hynes, Annette M; Karl, David Michael; Kitajima, Satoshi; Langlois, Rebecca; LaRoche, Julie; Letelier, Ricardo M; Marañón, Emilio; McGillicuddy Jr, Dennis J; Moisander, Pia H; Moore, C Mark; Mouriño-Carballido, Beatriz; Mulholland, Margaret R; Needoba, Joseph A; Orcutt, Karen M; Poulton, Alex J; Rahav, Eyal; Raimbault, Patrick; Rees, Andrew; Riemann, Lasse; Shiozaki, Takuhei; Subramaniam, Ajit; Tyrrell, Toby; Turk-Kubo, Kendra A; Varela, Manuel; Villareal, Tracy A; Webb, Eric A; White, Angelicque E; Wu, Jingfeng; Zehr, Jonathan P (2012): Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates. Earth System Science Data, 4, 47-73

Yawei Luo, Scott C Doney, L A Anderson, Mar Benavides, I Berman-Frank, Antonio Bode, S Bonnet, Kjärstin H Boström, D Böttjer, D G Capone, E J Carpenter, Yaw-Lin Chen, Matthew J Church, John E Dore, Luisa I Falcón, A Fernández, R A Foster, Ken Furuya, Fernando Gomez, Kjell Gundersen, Annette M Hynes, David Michael Karl, Satoshi Kitajima, Rebecca Langlois, Julie LaRoche … & Jonathan P Zehr
The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as...

Global raster maps indicating the habitat suitability for 7 suborders of cold water octocorals (Octocorallia found deeper than 50m), supplement to: Yesson, Chris; Taylor, Michelle L; Tittensor, Derek P; Davies, Andrew; Guinotte, John M; Baco, Amy R; Black, Julie; Hall-Spencer, Jason M; Rogers, Alex David (2012): Global habitat suitability of cold-water octocorals. Journal of Biogeography, 39(7), 1278-1292

Chris Yesson, Michelle L Taylor, Derek P Tittensor, Andrew Davies, John M Guinotte, Amy R Baco, Julie Black, Jason M Hall-Spencer & Alex David Rogers
This dataset consists of global raster maps indicating the habitat suitability for 7 suborders of cold water octocorals (Octocorallia found deeper than 50m). Maps present a relative habitat suitability index ranging from 0 (unsuitable) to 100 (highly suitable). Two maps are provided for each suborder (Alcyoniina, Calcaxonia, Holaxonia, Scleraxonia, Sessiliflorae, Stolonifera, and Subselliflorae). A publicly accessable low resolution map (grid size 10x10 arc-minutes) and a restricted access high resolution map (grid size 30x30 arc-seconds). Maps...

Numerical modeling of marine radiocarbon reservoir ages during the last deglaciation, supplement to: Butzin, Martin; Prange, Matthias; Lohmann, Gerrit (2012): Readjustment of glacial radiocarbon chronologies by self-consistent three-dimensional ocean circulation modeling. Earth and Planetary Science Letters, 317-318, 177-184

Martin Butzin, Matthias Prange & Gerrit Lohmann
A critical problem in radiocarbon dating is the spatial and temporal variability of marine reservoir ages (MRAs). We assessed the MRA evolution during the last deglaciation by numerical modeling, applying a self-consistent iteration scheme in which an existing radiocarbon chronology (derived by Hughen et al., Quat. Sci. Rev., 25, pp. 3216-3227, 2006) was readjusted by transient, 3-D simulations of marine and atmospheric Delta14C. To estimate the uncertainties regarding the ocean ventilation during the last deglaciation,...

P-wave velocity (PWS split-core system) on ODP Hole 182-1132B

David M Christie, Rolf B Pedersen, D Jay Miller & Shipboard Scientific Party

(Table T2) Occurrence of Lower Cretaceous planktonic foraminifera in ODP Hole 171B-1049B

Jean-Pierre Bellier, Michel Moullade & Brian T Huber
Sediment depth is given in mbsf. Abundance estimates as follows: - = not found, R = rare, F = few, C = common, A = abundant.

Visual core description (VCD) from ODP Hole 169-1036B

Brian D Bornhold, John V Firth & Shipboard Scientific Party
Sediment depth is given in mbsf. Use "further details" link to download a zip archive of all visual core descriptions.

Sea ice draft measured by upward looking sonar at mooring site AWI207-2

Axel Behrendt, Wolfgang Dierking, Eberhard Fahrbach & Hannelore Witte
Lograte: 8 min. The data identification flags (columns 6 & 8) stand for: 1=ice, 2=thin ice/open water, 0=water, empty cells=rejected/erroneous data. Depth was calculated by: (p_uls-p_atm)/(rho * g), where p_uls is the measured water pressure, p_atm is the atmospheric pressure from ECMWF (http://www.ecmwf.int) reanalysis, rho is 1027 kg/m**3, and g is the latitude-dependent acceleration of gravity.

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/267-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/245-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/250-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/239-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/212-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/230-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/235-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/218-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea-ice thickness, snow depth, freeboard, scattering layer thickness, and sea-ice type at sea ice station PS78/209-1

Marcel Nicolaus, Christian Katlein, James A Maslanik & Stefan Hendricks

Sea ice draft measured by upward looking sonar at mooring site AWI208-3

Axel Behrendt, Wolfgang Dierking, Eberhard Fahrbach & Hannelore Witte
Lograte: 4 min. The data identification flags (columns 6 & 8) stand for: 1=ice, 2=thin ice/open water, 0=water, empty cells=rejected/erroneous data. Depth was calculated by: (p_uls-p_atm)/(rho * g), where p_uls is the measured water pressure, p_atm is the atmospheric pressure from ECMWF (http://www.ecmwf.int) reanalysis, rho is 1027 kg/m**3, and g is the latitude-dependent acceleration of gravity.

Sea ice draft measured by upward looking sonar at mooring site AWI230-3

Axel Behrendt, Wolfgang Dierking, Eberhard Fahrbach & Hannelore Witte
Lograte: 4 min. The data identification flags (columns 6 & 8) stand for: 1=ice, 2=thin ice/open water, 0=water, empty cells=rejected/erroneous data. Depth was calculated by: (p_uls-p_atm)/(rho * g), where p_uls is the measured water pressure, p_atm is the atmospheric pressure from ECMWF (http://www.ecmwf.int) reanalysis, rho is 1027 kg/m**3, and g is the latitude-dependent acceleration of gravity.

Sea ice draft measured by upward looking sonar at mooring site AWI231-1

Axel Behrendt, Wolfgang Dierking, Eberhard Fahrbach & Hannelore Witte
Lograte: 15 min. The data identification flags (columns 6 & 8) stand for: 1=ice, 2=thin ice/open water, 0=water, empty cells=rejected/erroneous data. Depth was calculated by: (p_uls-p_atm)/(rho * g), where p_uls is the measured water pressure, p_atm is the atmospheric pressure from ECMWF (http://www.ecmwf.int) reanalysis, rho is 1027 kg/m**3, and g is the latitude-dependent acceleration of gravity.

Sea ice draft measured by upward looking sonar at mooring site AWI233-6

Axel Behrendt, Wolfgang Dierking, Eberhard Fahrbach & Hannelore Witte
Lograte: 4 min. The data identification flags (columns 6 & 8) stand for: 1=ice, 2=thin ice/open water, 0=water, empty cells=rejected/erroneous data. Depth was calculated by: (p_uls-p_atm)/(rho * g), where p_uls is the measured water pressure, p_atm is the atmospheric pressure from ECMWF (http://www.ecmwf.int) reanalysis, rho is 1027 kg/m**3, and g is the latitude-dependent acceleration of gravity.

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