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  • Articles  (1,699)
  • 2020-2023  (1,699)
  • 2020  (1,699)
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  • 1
    Publication Date: 2022-12-22
    Description: In the Koyna–Warna region, western India, an enormous number of microearthquakes was detected automatically on borehole records. Most of these events could not be identified on the surface network by a routine approach based on visual inspection primarily due to signal attenuation and the presence of noise. In this work, we implemented an automatic detection workflow to analyze the time series of an earthquake sequence that has clear foreshock and aftershock activity associated with an Mw 4.0 earthquake that occurred on 3 June 2017. Further, we applied a nested grid‐search algorithm to constrain the absolute earthquake locations. For about one month of data, a total of ∼1500 earthquakes were detected based on the automatic detection process, out of which ∼1000 earthquakes were locatable. All event detections, P‐wave and S‐wave phase readings were manually inspected and refined to ensure their quality. Previously, only about 435 events were well located based on the visual inspection approach for the same time period. Also, we analyzed repeated earthquakes based on waveform similarity leading to an improvement in the relocations of earthquakes of the aforementioned earthquake sequence. The relocated seismicity aligns parallel to a deep‐reaching lineament derived from recent investigations using airborne light detection and ranging measurements.
    Type: info:eu-repo/semantics/article
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: NLT time series: 2014-2016 temperature and depth
    Description: This dataset includes temperature and water depth time series data from intertidal, 1, 2, 5, 6, and 8-meter sites located nearshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/709181
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Habitat characteristics 2014-2016
    Description: Reported in this dataset are monthly surveys of the barnacle Chthamalus fissus settlement rates and their habitats measured as percent cover by live and dead barnacles, algae, sand, other, and free space. The study took place at Bird Rock, La Jolla, CA in the southern California nearshore from December 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743915
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Barnacle larval supply and settlement 2014-2015
    Description: Barnacle larvae settlement rates of Chthamalus fissus were measured in the rocky intertidal on settlement plates and compared with rates in larval traps at the same location. Settlement plates were deployed at Bird Rock, La Jolla, CA in the southern California nearshore from June 2014 to August 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743845
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Weekly barnacle settlement 2014-2017
    Description: Barnacle larvae daily settlement rates, weekly average and predicted weekly average of daily settlement. From settlement plates deployed at Bird Rock, La Jolla, CA in the southern California nearshore from April 2014 to June 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743826
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Larval abundance 2014-2016
    Description: Abundances of barnacle and bryozoan larvae collected in the water column on multiple cruises at stations along the Southern California nearshore at depths 0-~14 m water depth and from offshore Calumet Park, La Jolla, Southern California, from 2014-05-09 to 2016-10-04. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743779
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Current profiles: 2014-2016
    Description: Current meter data from the 5, 6, and 8 meter sites, offshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/707078
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 8
    Publication Date: 2022-12-19
    Type: info:eu-repo/semantics/article
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  • 9
    Publication Date: 2022-12-09
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  • 10
    Publication Date: 2022-12-09
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  • 11
    Publication Date: 2022-12-05
    Description: Viscoelastic deformations of an earth structure in response to a time-varying surface load are analyzed in glacial isostatic adjustment (GIA). When solving this problem, aspects like flexure of the lithosphere and retarded response of mantle material become evident. Quantified are these by flexural rigidity and relaxation times. The concepts partly lose their relevance when changing from a 1D earth structure (only radial variations) to a 2D or a 3D earth structure (lateral variations). In regions like Fennoscandia and Laurentide, which are affected by GIA, lateral variations of the lithosphere and mantle structure are moderate and, so, the application of a 1D earth structure is widely accepted. But, also for these two regions one has to keep in mind that the respective 1D earth structures differ and that such an approximation mainly holds in the central part of the respective region. In contrast, lateral variations or a local structure of different viscosity have to be considered in areas like Patagonia, Antarctica or Alaska which is located above tectonic activity or covers a region with significant lateral changes in earth structure. But, already for the two former examples one has to keep in mind that the respective 1D earth structures inferred from GIA modelling differ between the two regions. Focusing on the relaxation behavior and the mantle-material transport, we discuss the effect of lateral variations on the deformation process. We will assess to which extent a 1D earth structure can represent lateral variability in structural features, and, at which point a 3D earth structure has to be considered. Such questions are of concern, when discussing GIA for geodetic applications as well as in earth system modeling as this study contributes to the climate modeling initiative Palmod.
    Language: English
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  • 12
    Publication Date: 2022-12-05
    Description: As part of the Onshore Energy Systems Group’s program, organic maturation levels were determined using polar compounds from potential source rocks from the Georgina and Canning basins. The Early Paleozoic organic matter is devoid of the vitrinite maceral so unsuitable of the measurement of the industry-standard vitrinite reflectance (Ro%) measurement.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 13
    Publication Date: 2022-12-01
    Description: The Overturning in the Subpolar North Atlantic Program (OSNAP) is an international effort started in 2014 dedicated to achieving a better understanding of the link between dense-water formation and the meridional overturning circulation in the high-latitude North Atlantic. Moorings, gliders, and subsurface acoustically-tracked RAFOS floats have been used to collect temperature, salinity, and current data across the Labrador Sea, Irminger Sea, Reykjanes Ridge, Iceland Basin, Rockall-Hatton Plateau, and Rockall Trough. The specific objective of the OSNAP float program is to gather information on the pathways of the dense overflow waters transported by the deep limb of the overturning circulation and assess the connection of those pathways with currents observed crossing the OSNAP mooring line. This data report details the observations collected by 148 floats that were deployed for OSNAP during the summers of 2014, 2015, 2016 and 2017. Deployment locations were in the Iceland Basin, Irminger Sea, and in the Charlie-Gibbs Fracture Zone. Mission lengths ranged from 540-730 days, and the floats were ballasted to passively drift at a fixed pressure of either 1800, 2000, 2200, 2500, or 2800 dbar to tag the deep overflow water masses of the subpolar North Atlantic (Iceland-Scotland and Denmark Strait Overflow Waters).
    Description: Funding was provided by the National Science Foundation under Grant No. OCE-1259618 & OCE-1756361
    Keywords: RAFOS ; Trajectory ; Subpolar North Atlantic
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
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  • 14
    Publication Date: 2022-12-01
    Description: This is the final data report for all acoustically-tracked subsurface RAFOS floats deployed for the “Deep Water Dispersion Experiment: RAFOS Float Study in Support of Analysis of Possible Consequences of Large Scale Oil-Spills under Various Scenarios” (DWDE). This study is part of the larger program “Deep and Shallow Particle Dispersion and Biological Connectivity over the Continental Slope in the Western Gulf of Mexico”, of the Gulf of Mexico Research Consortium (CIGoM). The objective of the DWDE project was to measure and evaluate the ocean circulation at various depths in order to estimate the rates and pathways by which a passive tracer (e.g. pollutant, nutrients, etc.) would spread. The experiment consisted of the deployment 93 RAFOS floats and five sound source moorings (needed for tracking the floats underwater) over the course of five cruises, between June 2016 and January 2019, in the Perdido region of the Gulf of Mexico. The floats were deployed nearly simultaneously at stacked depths of 300 and 1500 dbar, in sets of 2-4 instruments per station, for calculating dispersion statistics. Mission lengths for the floats were set to ~12 to 18 months. Included in this report are cruise summaries, statistics and notes on sound source and float performance, sound source drift calculations, description of the RAFOS float data processing steps, and figures.
    Description: Funding was provided by the Mexican National Council for Science and Technology - Mexican Ministry of Energy - Hydrocarbon Fund, project 201441. This work was completed through a contract by the Center for Scientific Research and Higher Education at Ensenada (CICESE) under Grant No. 188355 to the Woods Hole Oceanographic Institution.
    Keywords: RAFOS ; Trajectory ; Gulf of Mexico ; Deep Water Dispersion Experiment ; Ocean circulation
    Repository Name: Woods Hole Open Access Server
    Type: Technical Report
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  • 15
    Publication Date: 2022-12-01
    Description: Assessing resources of enhanced geothermal (EGS) or medium deep geothermal systems (MDGS) for direct heat use and underground thermal energy storage (UTES) is a challenging task where usually diverse data sets of multiple origin and scale have to be compiled to obtain a comprehensive conceptual model of the subsurface, its structure and its properties. Within the research project “Hessen 3D 2.0” (BMWI-FKZ: 0325944), which aims to enhance the assessment of the prospective risk (‚Fündigkeitsrisiko’) for these kinds of geothermal projects, we established a workflow to implement and analyse such broad data sets. In a first step, comprehensive datasets of physical rock-, fluid- and reservoir properties are compiled which are based on investigations on relevant reservoir analogues, hydraulic test data from boreholes and borehole geophysical logs. The second step comprises the development of 3D geological models from a combination of borehole data, geological cross sections, seismic profiles, gravity and geomagnetic anomalies and geological maps to achieve the required detail on subsurface structure. This is prerequisite to distinguish the potentially usable reservoir units both within the crystalline or metamorphic basement and the sedimentary cover. Geostatistical analysis of the acquired comprehensive geothermal database is performed in a third step of the workflow; this allows for a parametrization of the geological model, for thermohydraulic subsurface modelling, and finally for the geothermal resource assessment. Such models, which consider the variability of rock and reservoir and fluid properties provide a thorough understanding of the subsurface temperature distribution, the dominant heat transport processes and hydraulic conditions. Finally, under consideration of both technical and economic boundary conditions and the statistics for the different relevant reservoir properties of the different geological units, assessment of hydrothermal, petrothermal and UTES potentials is performed directly with the 3D model. Therefore, a multiple-criteria approach, which assesses the quality of various rock and reservoir properties and their relevance for the different geothermal utilizations is implemented. This 3D-grid based method can be used for an identification and visualization of different geopotentials using various parameters to determine each potential. Thereby, to specify the grade of each potential under technical and economic requirements, threshold values for each parameter are defined. The approach described here allows for a stochastic assessment of the geothermal resources of a particular site of interest, including the determination of the probability of success and it provides the necessary numbers to attract investors to geothermal projects.
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  • 16
    Publication Date: 2022-11-23
    Description: In 1968, six earthquakes with magnitude between 5.1 and 6.4 destroyed or heavily damaged several towns in the Valle del Belìce (western Sicily), causing some three hundred fatalities. There have been some critical issues in the intensity assessment however in the macroseismic studies produced over the years , since the MCS scale was used as an estimation of shaking rather than a representation of the damage scenario; in practise, intensity was assigned for each earthquake of the sequence disregarding the effect of the cumulative damage. The case-study of the 2016-17 earthquakes in Central Italy reflected the difficulty in estimating the intensity in localities repeatedly hit by strong shocks, producing macroseismic parameters (epicentre, magnitude) inconsistent with the instrumental ones. As for the 1968 Valle del Belìce sequence, the Parametric Catalogue of Italian Earthquakes CPTI15 reports the macroseismic parameters, owing to the inadequacy of the seismic network operating in Italy in that period. Aware of the issues related to epicentre locations and magnitudes calculated by the existing macroseismic datasets, here we propose a reappraisal of the 1968 earthquakes following a methodology tested during the 2016-17 seismic sequence in Central Italy. By a new analysis of the primary sources, we reconstruct the evolution of the damage scenario during the sequence and assess intensity by using the European Macroseismic Scale EMS-98; the new macroseismic parameters are finally compared with the ones of the CPTI15 catalogue. Lastly, we propose a procedure for minimizing the magnitude overestimation in case of seismic sequences, based on the computation of the total seismic moment M0.
    Description: Published
    Description: SE105
    Description: 5T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 17
    Publication Date: 2022-11-16
    Description: Heat waves have tremendous ecological and socioeconomic consequences for many countries and initiate complex event chains that reach from the land surface to the upper atmosphere. Although it is well known that global change affects the Earth and environment on many different time and length scales, currently, only very limited knowledge is available on the importance of such distinct dynamic events for the long-term development of the Earth system. To investigate the impact of extended heat periods and droughts on our terrestrial ecosystems and natural resources, the Helmholtz MOSES project implements a modular infrastructure that is designed to capture such highly dynamic events in event-driven campaigns. As part of this infrastructure initiative a new hyperspectral thermal instrument, the Telops Hyper-Cam LW, was recently acquired at the Potsdam German Research Centre for Geosciences (GFZ) and capabilities for airborne surveys, laboratory and field deployment, as well as data processing in the context of heat wave impacts are currently developed. The Telops Hyper-Cam LW is a Fourier-transform imaging spectrometer (~8–12 μm) with adjustable spectral resolution from 0.25 to 150 cm−1 that can be operated at various scales from ground and airborne platforms. The hyperspectral longwave infrared shows great potential for the characterization of soil and vegetation properties and their variability related to heat wave impacts. However, this spectral imagery can only be used to fullest advantage when the signal is corrected, e.g. path radiance of the atmosphere, as well as the downwelling radiance component have been removed from the measured signal and temperature is separated from emissivity. In this context, this contribution describes the recent developments at GFZ toward (i) The development of suitable field sampling strategy & protocols related to the acquisition of field thermal hyperspectral data including calibration and validation measurements, (ii) Establishment of preliminary protocols for field data processing to temperature and emissivity, (iii) Test and mounting of the Hyper-cam on the Cessna-T207A airborne platform from the Free University Berlin (FUB) and (iv) Flight testing and calibration, and establishment of preliminary protocols and strategies for the development of a processing chain from raw data to temperature and emissivity imagery and extraction of relevant thematic parameters. In particular, first results will be shown based on the MOSES/ScaleX-2019 campaign where field Hyper-Cam measurements were acquired in different configurations at the Fendt grassland test site located in the German Pre-Alpine foreland. Different approaches for temperature emissivity separation are tested and compared, e.g. normalization emissivity method and spectral smoothness based emissivity separation. Furthermore, calibration and validation activities are presented in the frame of several airborne surveys over different targets to correct and validate the thermal signal. Preliminary airborne results will be shown over different locations in Germany and Greece that indicate good geometric and radiometric data accuracy, as well as high potential for the differentiation of surface materials from the spectral emissivity and surface temperature.
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  • 18
    Publication Date: 2022-11-16
    Description: The dataset is composed of Neo HySpex (VNIR/SWIR) hyperspectral imagery acquired during airplane overflights on June 6th, 2015 covering the Omongwa Pan located in the South-West Kalahari, Namibia. The dataset includes three cloud-free flight lines with 408 spectral bands ranging from VNIR to SWIR wavelength regions (0.4-2.5 µm). The dataset also includes Level 2A EnMAP-like imagery simulated using the end-to-end Simulation tool (EeteS). The overall goal of the campaign was to acquire imagery over the Omongwa Pan and use the spectral reflectance for the analyses of surface sediments, specifically the mineralogical composition of exposed surface evaporites / salts on the airborne and spaceborne scale. The data are highly novel and can be used to test estimation of surface sediment properties in a highly saline and dynamic environment.
    Language: English
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  • 19
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    GFZ Data Services
    In:  EnMAP Flight Campaigns Technical Report
    Publication Date: 2022-11-16
    Description: The dataset is composed of Neo HySpex (VNIR/SWIR) hyperspectral imagery acquired during the GFZ/DIMAP Geoarchive airborne campaign on June 6th, 2015 covering the Omongwa salt pan located in the South-West Kalahari, Namibia. The dataset includes 9 merged cloud-free flight lines with 408 spectral bands ranging from VNIR to SWIR wavelength regions (0.4-2.5 μm). The dataset also includes Level 2A EnMAP-like imagery simulated using the end-to-end Simulation tool (EeteS). The overall goal of the campaign was to test the potential of advanced optical hyperspectral remote sensing, or imaging spectroscopy, for the analysis of surface processes in the Omongwa salt pan and for the quantification of surface sediments. Specifically, the mineralogical composition of exposed evaporites such as halite, gypsum and calcite were investigated at the airborne and spaceborne scale, associated with comprehensive field campaigns, ich which spectral reflectance and ground-truth chemical data of field samples have been collected. The data are highly novel and can be used as testbeds for the development and validation of retrieval algorithms based on air- and space-borne hyperspectral imagery for estimation of surface sediment properties in a highly saline and dynamic environment.
    Language: English
    Type: info:eu-repo/semantics/report
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  • 20
    Publication Date: 2022-11-11
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , NonPeerReviewed
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  • 21
    Publication Date: 2022-11-10
    Description: Große Erzählungen im Engelsjahr 2020 handeln von der Textilindustrie gestern und heute. Die vorliegenden kleinen Erzählungen spielen in anderen textilen Welten und jenseits der großen Fabriken. Von ihnen erzählt Friedrich Engels nicht. Dem Erzählten und Nicht-Erzählten auf der Spur finden wir schließlich heraus, dass auch zu Friedrich Engels selbst in einer bestimmten Weise erzählt - und nicht erzählt wird.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 22
    Publication Date: 2022-11-10
    Description: Despite a strong connection between the Paris Agreement and the 2030 Agenda for Sustainable Development, climate change mitigation actions and sustainable development objectives are oftentimes not aligned efficiently, causing conflicts between the objectives. This thesis creates a systematic overview of conflicts of three renewable energy technologies with the Sustainable Development Goals (SDGs) by a literature review in Web of Science. The technologies solar energy, wind energy and hydropower function as examples for climate change mitigation actions. Out of 530 screened articles, 63 demonstrated conflicts. The systematic overview reveals that conflicts are different for each technology, but conflicts in regard to biodiversity loss and the degradation of natural habitats (SDG 15) and inequalities (SDG 10) were frequently identified for all technologies. The results of the systematic overview suggest that the site selection and the decision-making process on the construction of renewable energy projects are crucial stages to avoid conflicts with the SDGs.
    Keywords: ddc:320
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: masterthesis , doc-type:masterThesis
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  • 23
    Publication Date: 2022-11-10
    Description: Die Emscher-Lippe Region ist seit vielen Jahren von einer intensiven wirtschaftlichen Transformation geprägt. Die fortschreitende De-Industrialisierung bzw. die Neuorientierung der Industrie nach dem Wegfall der Kohle- und Stahlindustrie stellt regionale Entscheidungsträger vor große Herausforderungen, wenn es darum geht, der hohen Arbeitslosenquote zu begegnen, Beschäftigungsquoten zu sichern, mit der prekären Finanzsituation in den kommunalen Haushalten umzugehen und den Wirtschaftsstandort zu stabilisieren und neu aufzustellen. Der Strukturwandel der Region ist mit Schließung der letzten Steinkohle-Zeche Ende 2018 nicht abgeschlossen, sondern geht mit dem Kohleausstieg im Energiesektor in eine zweite Phase. Dies sollte auch als Chance verstanden werden, den Wirtschaftsstandort Emscher-Lippe mit seinen energiereichen Industrien innovativ neu zu gestalten und die Region sowohl energetisch, als auch stofflich von der Nutzung fossiler Träger abzukoppeln. Eine wichtige Säule der regionalen Wirtschaftsförderung besteht darin, strategische Netzwerke und regionale Wertschöpfungsketten zu stärken, um die in der Region ansässigen (mittelständischen) Unternehmen zu unterstützen und den Strukturwandel innerhalb der dominierenden Industrien aus den Bereichen Energieerzeugung und chemischer Industrie zu begleiten. Die vorliegende Studie bereitet auf, welche Bedeutung die Wasserstoffwirtschaft in der Emscher-Lippe Region in diesem Zusammenhang derzeit spielt und zukünftig spielen könnte.
    Keywords: ddc:330
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 24
    Publication Date: 2022-11-10
    Description: Urbane Räume sehen sich verschiedenen ökologischen, sozialen und ökonomischen Herausforderungen gegenüber, für deren Bewältigung es unter anderem neue bzw. veränderte Handlungs- und Planungsansätze bedarf. Der Klimawandel mit seinen räumlich wirksamen Folgewirkungen ist eine der zentralen ökologischen Herausforderungen des 21. Jahrhunderts. Städte sind dabei sowohl Verursacher des Klimawandels als auch Betroffene. Sie sind Wohnort, Heimat, Arbeits- und Produktionsstätte. Durch ihre hohe Bevölkerungsdichte und durch die Agglomeration ökonomischen Kapitals sind Städte aber auch stark durch Extremereignisse wie Starkniederschläge und Hitzeperioden gefährdet. Grüne Infrastrukturen können daher nicht nur eine Strategie sein, um sich gegen die Klimawandelfolgen anzupassen, sondern bieten gleichzeitig das Potenzial für neue Lebensräume, um so das Artensterben zu mindern bzw. zu stoppen. Die vorliegende Konzeptstudie widmet sich der Frage, wie Straßen im Sinne des genannten Zieldreiecks weiterentwickelt und gestaltet werden können, d.h. wie eine Transformation urbaner Quartiersstraßen hin zu "lebenswerten" Stadt- und Straßenräumen erfolgen kann.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: report , doc-type:report
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  • 25
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    Wuppertal : Wuppertal Institut für Klima, Umwelt, Energie
    Publication Date: 2022-11-10
    Description: Since urban processes need models of possible futures (referred to as travelling concepts) to drive their development, this study investigates whether planned-from-scratch smart city Kashiwa-no-ha International Campus Town Initiative can produce such an image with its smart governance approach, that is combined with an urban living lab. Using geographical governance research in relation to urban development processes as a framework, this master's thesis derives its own definition of the fuzzy concept of smart governance within the smart city vision based on a socio-geographical understanding of space, here referred to as Smart Urban Governance. Additionally, a set of indicators for the operationalisation of Smart Urban Governance is designed and applied to the case study. Methodologically, the thesis pursues a qualitative approach and, in this context, carries out a descriptive and normative governance analysis of Kashiwa-no-ha on the basis of the existing literature and empirical surveys conducted by the author. In summary, the strong role of academia in the urban planning context of community-building in Kashiwa-no-ha is exemplary and has led to a collaborative code of conduct between the traditional actors, mediated by a public-private-academic partnership, as well as to co-innovation between the city, developers, and citizens in form of a public-private-people partnership. Although the flagship project successfully addresses a large number of the Smart Urban Governance indicators defined in this context, there is potential for improvement, for example, in terms of participation, transparency, inclusion, and public spaces. Since Kashiwa-no-ha Smart City is still in an implementation phase until 2030, the thesis concludes with a forecast and a recommendation for action based on a strengths, weaknesses, opportunities, and threats analysis.
    Keywords: ddc:320
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: masterthesis , doc-type:masterThesis
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  • 26
    Publication Date: 2022-11-10
    Description: Die gestiegene gesellschaftliche Relevanz von Reallaboren für die Gestaltung einer nachhaltigen Zukunft wird durch den vermehrten Einbezug von Reallaborkonzepten in verschiedenen politischen Strategien auf nationaler und internationaler Ebene deutlich. Weniger klar ist bisher, wie Reallabore für eine umweltorientierte Digitalpolitik genutzt werden können. Die vorliegende Kurzstudie "Reallabore als umweltbezogenes Politikinstrument" stellt konzeptionelle Grundlagen für Reallabore als Politikinstrument einer transformativen Umweltpolitik dar und leitet Handlungsempfehlungen für den zielgerichteten und wirkungsvollen Einsatz von Reallaboren im Rahmen einer umweltorientierten Digitalpolitik ab. In der Kurzstudie werden im Sinne der Digitalagenda des Bundesministeriums für Umwelt, Naturschutz und nukleare Sicherheit Reallabore als "Experimentierräume für digitalbasierte sozialökologische Innovationen, in denen digitale Tools, Anwendungen und neue Kooperationsstrukturen entwickelt und modellhaft getestet werden können" verstanden. Es wird erläutert, dass Reallabore auf bewährten Handlungsansätzen aufbauen und im Kontext einer nachhaltigen Digitalpolitik eine geeignete Ergänzung und Weiterentwicklung bisheriger Umweltpolitik darstellen können. Um Reallabore für digital- und umweltpolitischen Ziele besser zu nutzen, werden die drei folgenden Strategien empfohlen: I) Förderprogramm für Reallabore der nachhaltigen Digitalisierung, II) Wissenstransfer für nachhaltigen Wandel in der Digitalisierung und III) Forschung zur digitalen und partizipativen Entwicklung von rechtlichen und planerischen Politikinstrumenten.
    Keywords: ddc:320
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 27
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    Wuppertal : Wuppertal Institut für Klima, Umwelt, Energie
    Publication Date: 2022-11-10
    Description: Gerechter Strukturwandel ist ein von den Gewerkschaften entwickeltes Konzept, das die Notwendigkeit einer ökologisch und sozial nachhaltigen Dekarbonisierung hervorhebt. Diese Masterarbeit wendet das Konzept auf den Braunkohleausstieg in Deutschland an. Der Erfolg des Übergangs hängt davon ab, ob er als gerecht empfunden wird. Den benachteiligten Gruppen im Strukturwandel muss eine Perspektive gegeben werden, um Akzeptanz für den Strukturwandel zu schaffen. Im Rahmen der Masterarbeit werden politische Maßnahmen für eine Governance des "Gerechten Strukturwandels" entwickelt. Die Arbeit basiert auf einer Fallstudie, die von Mai bis Juli 2019 im rheinischen Braunkohlerevier durchgeführt wurde. Methodisch wurde die Anwendung von semi-strukturierten Interviews gewählt. Insgesamt wurden sechs Expertinnen und Experten-Interviews mit Bürgerinitiativen, Gewerkschaften und Vertreterinnen und Vertreter des Landes Nordrhein-Westfalen ausgewertet. Die Ergebnisse belegen die Notwendigkeit politischer Maßnahmen in verschiedenen Bereichen, zum Beispiel: Während Beschäftigten der etablierten Unternehmen der Braunkohleindustrie der Übergang durch eine Reihe von Politikmaßnahmen erleichtert wird, müssen Beschäftigte in Subunternehmen den Strukturwandel weitestgehend alleine bewältigen. Letztere sind einem hohen Risiko ausgesetzt, aufgrund des Braunkohleausstiegs ihre Arbeitsplätze zu verlieren. Weiterhin zeigten die Befragungen, dass Boden im rheinischen Braunkohlerevier zu einer knappen Ressource werden könnte. Infolge des Braunkohleabbaus in der Region befindet sich ein großer Teil des Bodens im Eigentum des Energieversorgers RWE, der das Land durch bergrechtliche Enteignung erhalten hat. Wenn das Land nicht an die Kommunen zurückgegeben wird, wird eine unabhängige wirtschaftliche Neuausrichtung der Region nach dem Kohleabbau wesentlich erschwert. Aus dem Akteurzentrierten Institutionalismus werden Governance-Ansätze abgeleitet, die Lösungsansätze für diese Problemfelder bieten. Die Masterarbeit zeigt unter anderem, wie eine für die Partizipation notwendige Verteilung von Ressourcen einen Gerechten Strukturwandel befördern kann und warum ein integratives regionales Entwicklungskonzept des Landes NRW einer reinen wirtschaftlichen Förderung der Region vorgezogen werden sollte.
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: masterthesis , doc-type:masterThesis
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  • 28
    Publication Date: 2022-11-10
    Description: Was hat Design mit Umwelt und Nachhaltigkeit zu tun? Die globale Erwärmung und der Klimawandel lassen sich auf verschiedene Ursachen zurückführen. Design, das die Umwelt außen vor lässt, ist einer der Gründe. Viele Produkte und Dienstleistungen verbrauchen nämlich viel Energie und Ressourcen haben auch eine hohe soziale Relevanz - sie sorgen beispielsweise für Teilhabe oder Exklusion. Wie eine Transformation hin zu mehr Nachhaltigkeit in diesem Bereich besser gelingt, fasst der neue "Transition Design Guide" des Wuppertal Instituts und der Folkwang Universität der Künste in Kooperation mit der ecosign - Akademie für Gestaltung Köln und der Bergischen Universität Wuppertal zusammen. Der Leitfaden gibt interessierten Gestaltenden, Entwickelnden, Transformatorinnen und Transformatoren sowie Forschenden in Universitäten, Unternehmen und Kommunen 16 Praxis-Werkzeuge an die Hand, um Produkte, Dienstleistungen, soziale Räume oder andere Erfahrungswelten nachhaltiger und umweltbewusster zu entwerfen. Anhand der Arbeitsblätter lassen sich gestalterische Ideen und Konzepte auf ihre Nachhaltigkeitspotenziale untersuchen und weiterentwickeln. Nachhaltigkeitsaspekte werden dabei mit den Methoden und Arbeitsschritten eines klassischen Designprozesses zusammengeführt. Ausführliche Hintergrundinformationen ergänzen die Themen der Tools inhaltlich.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 29
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    Copernicus GmbH
    In:  EPIC3Copernicus GmbH
    Publication Date: 2022-11-10
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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  • 30
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    Wuppertal : Wuppertal Institut für Klima, Umwelt, Energie
    Publication Date: 2022-11-09
    Description: Die Europäische Union (EU) hat erkannt, dass das Ziel der Klimaneutralität bis 2050 ein zentraler Innovations- und Wachstumsmotor für Industrie und Wirtschaft in der EU sein kann. Neben großen Chancen stellt dies die europäische Wirtschaft und überwiegend die besonders emissionsintensiven sowie im international starkem Wettbewerb stehenden Grundstoffindustrien auch vor erhebliche Herausforderungen. Eine integrierte Klima- und Industriestrategie ist für den Klimaschutz von zentraler Bedeutung, da auf die Produktion von Stahl, Zement, Grundstoffchemikalien, Glas, Papier und anderen Materialien in der EU und weltweit rund 20 Prozent der gesamten Treibhausgasemissionen entfallen. Auch in einer treibhausgasneutralen Zukunft kann auf diese Materialien nicht verzichten werden. Zugleich ist die emissionsfreie Herstellung der Materialien technologisch sowie mit Blick auf die dafür erforderlichen Infrastrukturen besonders herausfordernd. Dies gilt vor allem für die Frage woher die hohen benötigten Mengen an grüner Energie - insbesondere Strom und Wasserstoff - zu wettbewerbsfähigen Preisen kommen sollen. Analysen zeigen, dass trotz erheblicher Kosten bei der Prozessumstellung die Kosten der Transformation der Grundstoffindustrie für die Gesellschaft insgesamt tragbar sind. Denn bezogen auf die Endprodukte betragen die Mehrkosten meist nur wenige Prozentpunkte; die Preise von Rohstahl oder Zement dagegen würden sich zwischen einem Drittel und 100 Prozent verteuern. Da fast alle Grundstoffhersteller in starker Weltmarktkonkurrenz stehen, können sie die Investitionen in eine klimaneutrale Produktion und die benötigten Energieinfrastrukturen aber nicht ohne Unterstützung tragen. Das vorliegende Papier skizziert ein integriertes Klima-Industriepolitikpaket, das der EU ermöglichen kann, die bestehende technologische Führung in vielen dieser Industrien zielgerichtet zum Aufbau einer treibhausgasneutralen Grundstoffindustrie zu nutzen.
    Keywords: ddc:330
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: workingpaper , doc-type:workingPaper
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  • 31
    Publication Date: 2022-11-09
    Description: Zwei Drittel des heutigen Welthandels gründen auf globalen Wertschöpfungsketten und Versorgungsnetzen. Rein regionalwirtschaftlich organisierte Lieferketten haben in den letzten Jahrzehnten an Bedeutung verloren. Die Auswirkungen dieser globalisierten Strukturen sind vielfältig: Zum einen haben sie beschäftigungsfördernde Effekte und wirken wohlstandsstiftend. Zum anderen existieren entlang der Lieferketten extreme soziale, ökologische und ökonomische Schieflagen. Die COVID-19-Pandemie zeigt in erheblichem Maße, wie fragil bestehende Lieferkettensysteme sind. Der Lockdown unterbricht noch immer komplexe Lieferketten und viele Probleme der bestehenden Produktions- und Konsumweise verschärfen sich weiterhin. COVID-19 ist ein Beispiel einer der möglichen Krisen, welche die globalen und vernetzten Wertschöpfungsketten kurzfristig erschüttern kann. Andere Krisen entwickeln sich schleichender und damit weniger schnell erkennbar, wie etwa der globale Klimawandel. So unterschiedlich sie sind, haben die Krisen eines gemein: Sie zeigen die Verletzlichkeit globaler Gesellschafts- und Wirtschaftsstrukturen auf und verdeutlichen die Wirkungen globalen Handels auf die Regionen und Menschen der Welt. Die globale Nachhaltigkeitsstrategie setzt genau hier an - sie zielt darauf ab, Unterschiede und Ungleichheit in Chancen und Lebensqualität grundlegend zu vermindern. Deshalb sollte die Umsetzung der Nachhaltigkeitsziele auf internationaler, nationaler und regionaler Ebene eine Antwort auf solche Krisen sein. Da durch die Covid-19-Pandemie zeitgleich die komplette Welt in eine Umbruchsituation gedrängt wurde, bietet die Reaktion darauf an, Nachhaltigkeit als zentrale politische Resilienz-Strategie zu nutzen. Im Zuge der Corona-Pandemie flammte die Diskussion um resiliente Kommunen auf. Diese sollten sich stärker an regional- und kreislaufwirtschaftlichen Ansätzen orientieren, um angesichts solcher Pandemien die Versorgung weiterhin gewährleisten zu können. So wichtig und richtig die Entwicklung eigener regionalwirtschaftlicher und kreislauforientierter Ansätze im Kern ist, so wenig resilient ist es, wenn deren Entwicklung nicht unter globaler und nachhaltiger Perspektive erfolgt. Ziel sollten menschengerechte, nachhaltige und transparente Lieferketten sein, die auch bei plötzlich veränderten Rahmenbedingungen und Krisen richtungssicher die Versorgungssicherheit zur Deckung von Grundbedürfnissen und Daseinsvorsorge sicherstellen können. Das vorliegende Diskussionspapier zeichnet als Zukunftsszenario global kooperative, kreislauforientierte Regionalwirtschaften, die weltweite Ungleichheiten in Chancen und Lebensqualität grundlegend vermindern und dabei gleichsam die natürlichen Lebensgrundlagen dauerhaft bewahrt werden.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
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  • 32
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    Cambridge University Press (CUP)
    In:  EPIC3Proceedings of the Nutrition Society, Cambridge University Press (CUP), 79(OCE2), pp. e325-, ISSN: 0029-6651
    Publication Date: 2022-11-07
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:sec id="S0029665120002736_sec_a1" sec-type="intro"〉〈jats:title〉Introduction〈/jats:title〉〈jats:p〉Lipophilic phycotoxins, produced by toxic phytoplankton species, accumulate in digestive glands of mussels. If contaminated mussels containing marine biotoxins over regulatory levels are consumed, it is assumed that this could result in e.g. gastrointestinal disorders.〈/jats:p〉〈/jats:sec〉〈jats:sec id="S0029665120002736_sec_a2" sec-type="other"〉〈jats:title〉Objectives〈/jats:title〉〈jats:p〉The aim of the study was to report contamination level of lipophilic marine biotoxins and to assess the potential health risk based on dietary intake for regular consumers and recreational harvesters from Bulgaria.〈/jats:p〉〈/jats:sec〉〈jats:sec id="S0029665120002736_sec_a3" sec-type="other"〉〈jats:title〉Method/Design〈/jats:title〉〈jats:p〉Wild and cultivated mussels were sampled in spring seasons of 2017 and 2018 from the North Black Sea coast. Positive phycotoxins concentrations determined via LC-MS/MS in extracts from digestive glands of the mussels were converted in phycotoxin levels for whole mussel meat (mm) by applying a factor of 5 proposed by EFSA. Dietary intakes were calculated by multiplying the mean positive phycotoxin levels (mg /kg mm) by the food consumption data for an average body weight (bw) of the investigated population group.〈/jats:p〉〈/jats:sec〉〈jats:sec id="S0029665120002736_sec_a4" sec-type="results"〉〈jats:title〉Results and discussion〈/jats:title〉〈jats:p〉In total 20 farmed and 15 wild mussel samples were investigated. Yessotoxins and pectenotoxin-2 were detected. The mean YTX levels in cultivated mussels were measured about two times higher in spring 2018 (1.64 mg/kg) than in 2017 (0.70 mg/kg). The mean YTX level in wild mussels was found much lower - 0.46 mg/kg (spring 2017). In this regard, estimation of mean dietary YTX intake show that exposure of both population groups by consumption of cultivated mussels from spring 2018 is highest. Nevertheless, the regulatory threshold – acute reference dose of 25 μg/kg bw, is much above the highest calculated dietary intake (0.006 μg/kg female consumers). The mean PTX2 level in wild mussel samples from spring 2017 (0.71 mg/kg) was found about six times higher than in farmed mussels.〈/jats:p〉〈jats:p〉The calculation of mean dietary PTX2 intake indicate that most exposed are females if wild mussels from spring 2017 were consumed. Still, the calculated value – 0.003 μg/kg bw were much lower than the ARfD - 0.8 μg/kg bw. All wild mussel samples from spring 2018 were negative. Lowest exposure to detected toxins were established for recreational harvesters.〈/jats:p〉〈/jats:sec〉〈jats:sec id="S0029665120002736_sec_a5" sec-type="conclusions"〉〈jats:title〉Conclusion〈/jats:title〉〈jats:p〉This study showed in general low contamination level with YTX and PTX2 of investigated mussel samples. Thereon, the estimated dietary intake of selected population groups is also much lower than the regulatory thresholds.〈/jats:p〉〈/jats:sec〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 33
    Publication Date: 2022-11-07
    Description: The concept of “blue growth,” which aims to promote the growth of ocean economies while holistically managing marine socioecological systems, is emerging within na-tional and international marine policy. The concept is often promoted as being novel; however, we show that historical analogies exist that can provide insights for contem-porary planning and implementation of blue growth. Using a case-study approach based on expert knowledge, we identified 20 historical fisheries or aquaculture ex-amples from 13 countries, spanning the last 40–800 years, that we contend embody blue growth concepts. This is the first time, to our knowledge, that blue growth has been investigated across such broad spatial and temporal scales. The past societies managed to balance exploitation with equitable access, ecological integrity and/or economic growth for varying periods of time. Four main trajectories existed that led to the success or failure of blue growth. Success was linked to equitable rather than open access, innovation and management that was responsive, holistic and based on scientific knowledge and monitoring. The inability to achieve or maintain blue growth resulted from failures to address limits to industry growth and/or anticipate the im-pacts of adverse extrinsic events and drivers (e.g. changes in international markets, war), the prioritization of short-term gains over long-term sustainability, and loss of supporting systems. Fourteen cross-cutting lessons and 10 recommendations were derived that can improve understanding and implementation of blue growth. Despite the contemporary literature broadly supporting our findings, these recommenda-tions are not adequately addressed by agendas seeking to realize blue growth.
    Repository Name: EPIC Alfred Wegener Institut
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  • 34
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    In:  EPIC3
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  • 35
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
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  • 36
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    In:  EPIC3
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  • 37
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
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  • 38
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    SPRINGER
    In:  EPIC3Marine Biology, SPRINGER, 167, pp. 174, ISSN: 0025-3162
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
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  • 39
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
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  • 40
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
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  • 41
    Publication Date: 2022-11-07
    Description: As the human population grows and climate change threatens the stability of seafood sources, we face the key question of how we will meetincreasing demand, and do so sustainably. Many of the 20 International Council for the Exploration of the Sea (ICES) member nations havebeen global leaders in the protection and management of wild fisheries, but to date, most of these nations have not developed robust aqua-culture industries. Using existing data and documentation of aquaculture targets from government and industry, we compiled and analysedpast trends in farmed and wild seafood production and consumption in ICES nations, as well as the potential and need to increase aquacul-ture production by 2050. We found that the majority of ICES nations lacks long-term strategies for aquaculture growth, with an increasinggap between future domestic production and consumption—resulting in a potential 7 million tonne domestic seafood deficit by 2050, whichwould be supplemented by imports from other countries (e.g. China). We also found recognition of climate change as a concern for aquacul-ture growth, but little on what that means for meeting production goals. Our findings highlight the need to prioritize aquaculture policy toset more ambitious domestic production goals and/or improve sustainable sourcing of seafood from other parts of the world, with explicitrecognition and strategic planning for climate change affecting such decisions. In short, there is a need for greater concerted effort by ICES member nations to address aquaculture’s long-term future prospects.
    Repository Name: EPIC Alfred Wegener Institut
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  • 42
    Publication Date: 2022-11-07
    Description: One of the major uncertainties regarding future sea-level rise is the physics behind the flow of ice, which significantly impacts the amount of solid ice discharge into the oceans. Various physical properties of polar ice are affected by impurities in ice, ranging from electrical conductivity to internal deformation and thus, ice flow. Our goal is to better understand the impact of impurities on the deformation of ice by analysing the East Greenland Ice Core Project (EastGRIP) ice core. The on-going EastGRIP drilling delivers the first deep ice core from a fast-flowing ice stream, the Northeast Greenland Ice Stream, enabling novel in-situ information on the flow of ice. We analysed seven samples from various depths of the first 900 m of the ice core in our cold lab (-15°C). First, we used an optical microscope to map the surface of the sample and the same area focused 500 μm below the surface. These maps allow us to locate micro-inclusions, solid impurities of μm- size, inside the ice while preserving the original microstructure and preventing contamination . Following this, a WITec alpha 300 M+ confocal cryo-Raman system with a Nd:YAG laser (532 nm) is used to analyse the chemical composition of these inclusions. We present impurity distribution and mineralogical data from seven different depths of the EastGRIP ice core. Preliminary key findings are 1) a homogenous spatial distribution of impurities in the microstructure, 2) distinct layers of impurity-rich grains, 3) a strong relationship between identified minerals and the bulk chemistry, and 4) a diverse chemical range of micro-inclusions mainly consisting of sulfates (e.g., gypsum) and insoluble terrestrial minerals such as quartz, mica or feldspar.
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  • 43
    Publication Date: 2022-11-07
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  • 44
    Publication Date: 2022-11-07
    Description: In order to advance ongoing efforts in the (still emerging) field of marine restoration, different forms of knowledge must be combined: not only the biological and technical aspects, but also the social and cultural dimensions of marine restoration efforts. This calls for a newly combined array of methods that allows for a bridging of these different knowledge dimensions. Drawing on our experiences from the ongoing knowledge transfer processes of the INTERNAS project (Scientific Transfer of the results of INTERNational Assessments in the field of Earth and Environmental Research into the German policy context), we provide an overview of methods that were used to link global recommendations with localized marine restoration schemes and policy options. Using a mixed methods approach, we were able to capture and understand the pathways of knowledge transfer from globally synthesized scientific knowledge to local realities related to protecting and enhancing marine biodiversity in Germany. With this structured knowledge transfer approach, actionable solutions for marine conservation and restoration activities could be tailored to the specific national and regional circumstances. Using participatory methods, framework conditions like ecological, social, legal, and sectoral value judgment dimensions can be identified. This allows for the development of concerted solutions and creates a common ground for good governance towards marine restoration. When scientists engage not only as experts but also as reflexive facilitators in such participatory processes, it is ensured that more inclusive forms of knowledge are fostered that are necessary to better anticipate the potentials and likely pitfalls that marine restoration efforts may encounter. We conclude that existing knowledge on ecosystems, their goods and services as well as societal expectations need to be understood from the onset in any kind of marine restoration effort.
    Repository Name: EPIC Alfred Wegener Institut
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  • 45
    Publication Date: 2022-11-03
    Description: 〈jats:p〉Kelps in the Arctic region are facing challenging natural conditions. They experience over 120 days of darkness during the polar night surviving on storage compounds without conducting photosynthesis. Furthermore, the Arctic is experiencing continuous warming as a consequence of climate change. Such temperature increase may enhance the metabolic activity of kelps, using up storage compounds faster. As the survival strategy of kelps during darkness in the warming Arctic is poorly understood, we studied the physiological and transcriptomic responses of 〈jats:italic〉Saccharina latissima〈/jats:italic〉, one of the most common kelp species in the Arctic, after a 2-week dark exposure at two temperatures (0 and 4°C) versus the same temperatures under low light conditions. Growth rates were decreased in darkness but remained stable at two temperatures. Pigments had higher values in darkness and at 4°C. Darkness had a greater impact on the transcriptomic performance of 〈jats:italic〉S. latissima〈/jats:italic〉 than increased temperature according to the high numbers of differentially expressed genes between dark and light treatments. Darkness generally repressed the expression of genes coding for glycolysis and metabolite biosynthesis, as well as some energy-demanding processes, such as synthesis of photosynthetic components and transporters. Moreover, increased temperature enhanced these repressions, while the expression of some genes encoding components of the lipid and laminaran catabolism, glyoxylate cycle and signaling were enhanced in darkness. Our study helps to understand the survival strategy of kelp in the early polar night and its potential resilience to the warming Arctic.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 46
    Publication Date: 2022-11-03
    Description: 〈jats:p〉Abstract. Aerosol particles are essential constituents of the Earth's atmosphere, impacting the earth radiation balance directly by scattering and absorbing solar radiation, and indirectly by acting as cloud condensation nuclei. In contrast to most greenhouse gases, aerosol particles have short atmospheric residence times, resulting in a highly heterogeneous distribution in space and time. There is a clear need to document this variability at regional scale through observations involving, in particular, the in situ near-surface segment of the atmospheric observation system. This paper will provide the widest effort so far to document variability of climate-relevant in situ aerosol properties (namely wavelength dependent particle light scattering and absorption coefficients, particle number concentration and particle number size distribution) from all sites connected to the Global Atmosphere Watch network. High-quality data from almost 90 stations worldwide have been collected and controlled for quality and are reported for a reference year in 2017, providing a very extended and robust view of the variability of these variables worldwide. The range of variability observed worldwide for light scattering and absorption coefficients, single-scattering albedo, and particle number concentration are presented together with preliminary information on their long-term trends and comparison with model simulation for the different stations. The scope of the present paper is also to provide the necessary suite of information, including data provision procedures, quality control and analysis, data policy, and usage of the ground-based aerosol measurement network. It delivers to users of the World Data Centre on Aerosol, the required confidence in data products in the form of a fully characterized value chain, including uncertainty estimation and requirements for contributing to the global climate monitoring system. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 47
    Publication Date: 2022-11-03
    Description: Dataset: FHLOO
    Description: To our knowledge, the FHL Ocean Observatory serves as the only multi-sensor array (~2 m from the surface) in the San Juan Islands archipelago that monitors for temperature, salinity, pH(total), carbon dioxide, dissolved oxygen, chlorophyll concentration, turbidity, and current velocity. In addition to the suite of ocean properties listed above, we also monitor the microplanktonic community using a camera system called the Imaging FlowCytoBot (IFCB). The IFCB is an automated imaging flow cytometer that is designed for the continuous monitoring of phytoplankton and microzooplankton. Using a laser-triggered, high resolution camera, the IFCB generates images and optical data of individual plankton and other particles in the size range of 〉10-150 mm. Data produced by this project may be of interest to chemical and biological oceanographers, and climate scientists interested in the role of biogeochemistry in the global/regional climate system. This dataset includes pH, pCO2, temperature, salinity, and dissolved oxygen data recorded from 2018-2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/826798
    Description: NSF Division of Biological Infrastructure (NSF DBI) FSML-1418875
    Repository Name: Woods Hole Open Access Server
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    Springer Science and Business Media LLC
    In:  EPIC3Nature Communications, Springer Science and Business Media LLC, 11(1), pp. 3448-, ISSN: 2041-1723
    Publication Date: 2022-11-02
    Description: 〈jats:p〉An amendment to this paper has been published and can be accessed via a link at the top of the paper.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: AT37-13 Substrates Community
    Description: Matrix of taxon (columns) by sample (rows) for substrates collected using HOV Alvin on R/V Atlantis cruise AT37-13 in the Pacific Ocean off Costa Rica from May to June 2017 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/747699
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1634172
    Keywords: Methane seep ; Deep sea ; Macrofauna ; Alvin ; Costa Rica ; Continental slope ; Tropical Pacific ; D13C ; D15N ; Hard substrate
    Repository Name: Woods Hole Open Access Server
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  • 50
    Publication Date: 2022-10-31
    Description: Dataset: Montery Bay Time Series Data
    Description: Samples collected from the Monterey Bay Times Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and phaeopigment concentration data. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/774848
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357024
    Keywords: Thaumarchaeota ; Monterey Bay ; Nitrification ; Ammonia oxidation ; Time series ; qPCR ; MBARI ; Monterey Bay Time Series
    Repository Name: Woods Hole Open Access Server
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  • 51
    Publication Date: 2022-10-31
    Description: Dataset: HPLC analysis
    Description: High pressure liquid chromatography analyses of photosynthetic pigments taken on the R/V Acadian and R/V Pelican from September to October 2017 in the Central northern Gulf of Mexico. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/789061
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760660, NSF Division of Ocean Sciences (NSF OCE) OCE-1760509
    Keywords: Phytoplankton pigments ; HPLC ; Gulf of Mexico ; Mississippi River ; Phytoplankton community
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Pigments HPLC
    Description: Algal pigment concentrations as measured by HPLC from RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/778881
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1644073
    Keywords: Southern Ocean ; Ross Sea ; Phytoplankton pigments ; Chlorophyll
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds and Lasker MEPS 2019 Fig S3: Sampling effort, juveniles
    Description: Octocoral sampling effort (density of juveniles pooled taxa, year, site, and quadrat) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S3. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/789195
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Octocorals ; Soft corals ; Gorgonians
    Repository Name: Woods Hole Open Access Server
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  • 54
    Publication Date: 2022-10-31
    Description: Dataset: AT37-13 Macrofauna Community Matrix
    Description: Matrix of taxon (columns) by sample (rows) for sediment push cores collected by HOV Alvin during R/V Atlantis cruise AT37-13 in the Pacific margin of Costa Rica from May to June 2017 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/750091
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1634172
    Keywords: Methane seep ; Deep sea ; Macrofauna ; Push core ; Alvin ; Costa Rica ; Continental slope ; Tropical Pacific ; Benthic
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds and Lasker MEPS 2019 Fig S1: Sampling effort
    Description: Octocoral sampling effort (density by pooled taxa and site) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S1. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/789188
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Octocorals ; Soft corals ; Gorgonians
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: 2018 Ross Sea Zooplankton Abundance: Ring net
    Description: Net tows were conducted during the R/V Nathaniel B. Palmer cruise NBP18-01 in January 2018. These data represent the zooplankton species and abundance analysis resulting from these sample collections. A companion dataset of mid-water trawls abundances is also available. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/789299
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1743035
    Keywords: Ross Sea ; Zooplankton abundance
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Carpenter 2018: carbonate chemistry
    Description: For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/754694
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Keywords: OA ; Ocean acidification ; Coral reefs ; Coral community ; Moorea
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Metabarcoding zooplankton at station ALOHA: OTU tables and fasta files
    Description: Metabarcoding data for the zooplankton community in the epipelagic, mesopelagic and upper bathypelagic zones (0-1500m) of the North Pacific Subtropical Gyre. The goal of this study was to assess the hidden diversity present in zooplankton assemblages in midwaters, and detect vertical gradients in species richness, depth distributions, and community composition of the full zooplankton assemblage. Samples were collected in June 2014 from Station ALOHA (22.75, -158) using a 1-meter square Multiple Opening and Closing Nets and Environmental Sampling System (MOCNESS, 200um mesh), on R/V Falkor cruise FK140613. Next generation sequence data (Illumina MiSeq, V3 chemistry, 300-bp paired-end) of the zooplankton assemblage derive from amplicons of the V1-V2 region of 18S rRNA (primers described in Fonseca et al. 2010). The data includes sequences and read count abundance information for molecular OTUs from both holoplanktonic and meroplanktonic taxa. All results derive from analyses in mothur v1.36.1 (Schloss et al. 2009, Kozich et al. 2013). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/700279
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1255697, NSF Division of Ocean Sciences (NSF OCE) OCE-1338959, NSF Division of Ocean Sciences (NSF OCE) OCE-1029478
    Keywords: Metabarcoding ; Station ALOHA ; Mesopelagic and bathypelagic zooplankton ; Community composition
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Trichodesmiium field metaproteomes - sample provenance
    Description: Trichodesmium sample provenance collected in North Atlantic surface waters, at station BATS (Bermuda Atlantic Time-series Study), and station ALOHA (A Long-Term Oligotrophic Habitat Assessment) between 2000 and 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/787093
    Description: Gordon and Betty Moore Foundation (GBMF) GBMF3934, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, NSF Division of Ocean Sciences (NSF OCE) OCE-1657766, NSF Division of Ocean Sciences (NSF OCE) OCE-1850719
    Keywords: Trichodesmium ; Metaproteomics
    Repository Name: Woods Hole Open Access Server
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  • 60
    Publication Date: 2022-10-31
    Description: Dataset: GT10 - As AP Surface Transects
    Description: Data for the concentrations of the dissolved (〈0.4 µm) arsenic species: total inorganic As (III+V), arsenite (AsIII), arsenate (AsV), monomethyl As, and dimethyl As; and the activity of the enzyme alkaline phosphatase (unfiltered) on the surface transect. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3520
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0926423, NSF Division of Ocean Sciences (NSF OCE) OCE-0926092
    Keywords: GEOTRACES ; Arsenic speciation ; Antimony speciation ; Alkaline phosphatase activity
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Trichodesmium field metaproteomes - protein spectral counts in alternative format
    Description: Metaproteomes of Trichodesmium from samples collected in North Atlantic surface waters, at station BATS (Bermuda Atlantic Time-series Study), and station ALOHA (A Long-Term Oligotrophic Habitat Assessment) between 2000 and 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/787078
    Description: Gordon and Betty Moore Foundation (GBMF) GBMF3934, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, NSF Division of Ocean Sciences (NSF OCE) OCE-1657766, NSF Division of Ocean Sciences (NSF OCE) OCE-1850719
    Keywords: Trichodesmium ; Metaproteomics
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Nitrogen and carbon fixation rates - Trichodesmium
    Description: Nitrogen and carbon fixation rates from Trichodesmium colonies from RV/Atlantic cruise AT39-05, Feb-Mar 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/766354
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657757
    Keywords: Trichodesmium ; Nitrogen fixation ; Carbon fixation ; Atlantic
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: POC and PON - bulk seawater
    Description: POC and PON from bulk seawater samples from RV/Atlantic cruise AT39-05, Feb-Mar 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/766374
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657757
    Keywords: Bulk seawater ; Particulate organic carbon ; Particulate organic nitrogen ; Atlantic
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds et al. 2019b: Sizes of organisms not fixed to flume floor
    Description: These data describe the mobile fauna in the flumes that were not fixed to the bottom of the flume. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/793628
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Keywords: Ocean acidification ; OA ; Flume ; LTER ; Coral reefs ; Moorea ; Moorea Coral Reef LTER ; Coral community
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Domoic acid assimilation in copepods
    Description: Domoic acid assimilation in copepods by consuming organic polymers containing domoic acid. Results from lab experiments designed to investigate the role of organic polymers in trophic transfer of domoic acid, using Acartia tonsa as a model organism. Water samples were collected in the northern Gulf of Mexico in 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/808402
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1558957, U.S. Food and Drug Administration (FDA) 5U19FD005923-04
    Keywords: Domoic acid ; Copepods ; Acartia tonsa ; Trophic transfer ; Grazing ; Toxicology
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Ehux growth rates under thermal variation
    Description: This dataset includes the growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 °C) and high (25.5 °C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782888
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538525
    Keywords: Thermal Performance Curves ; Growth Rates ; Emiliania huxleyi ; Climate change ; Calcification ; Elemental quotas
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    Publication Date: 2022-10-31
    Description: Dataset: Trichodesmium field metaproteomes - sequence fasta
    Description: FASTA file of sequences in Trichodesmium field metaproteomes analyzed by 2D LC-MS/MS mapped to a Trichodesmium metagenome (IMG ID 2821474806) plus cyanoGEBA species genomes (Shih et al, 2013). Samples were collected in North Atlantic surface waters, at station BATS (Bermuda Atlantic Time-series Study), and station ALOHA (A Long-Term Oligotrophic Habitat Assessment) between 2000 and 2018. Related datasets: Trichodesmium field metaproteomes - peptide spectral counts: https://www.bco-dmo.org/dataset/787168 Trichodesmium field metaproteomes - protein spectral counts: https://www.bco-dmo.org/dataset/787147 Trichodesmium sample provenance: https://www.bco-dmo.org/dataset/787093 - Sample provenance file, which includes sample locations, filter sizes For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/787181
    Description: Gordon and Betty Moore Foundation (GBMF) GBMF3934, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, NSF Division of Ocean Sciences (NSF OCE) OCE-1657766, NSF Division of Ocean Sciences (NSF OCE) OCE-1850719
    Keywords: Trichodesmium ; Metaproteomics
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds et al. MarBio 2019a: Data in support of energy budget calculations
    Description: Light data from surveys in Great Lameshur Bay, St. John, US Virgin Islands in 2017 used to calculate photosynthetic input to coral energy budget as in Edwards et al. (2019). These data were used in Edmunds et al. (2019). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/793581
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1801335
    Keywords: Underwater light ; Coral reef ; Kd ; PAR ; Virgin Islands
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: 2018 Ross Sea Zooplankton Abundance: IKMT
    Description: Isaacs-Kid Midwater Trawl (IKMT) hauls were conducted during the R/V Nathaniel B. Palmer cruise NBP18-01 in Jan-Feb 2018. These data represent the zooplankton species and abundance analysis resulting from these sample collections. A companion dataset of ring net tow abundances is also available. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/792385
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1743035
    Keywords: Ross Sea ; Zooplankton abundance
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Table 2. Suspended particulate matter (SPM) concentrations in lake water
    Description: Table 2. Suspended particulate matter (SPM) concentrations in lake water, Lake Michigan, Nov. 2018 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/809857
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1639865
    Keywords: Suspended particulate matter ; Lake Michigan ; Milwaukee Harbor
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mussel Adhesive Plaques - pH and oxygen fluctuations
    Description: Data generated from laboratory experiments that investigated the influence of fluctuating environmental conditions on the attachment strength of byssal threads as they aged. Mussels (M. trossulus) were collected from Penn Cove Shellfish, Quilcene Bay, Quilcene, Washington, USA Penn Cove Shellfish hatchery, Quilcene Bay, Quilcene, Washington, USA [47°47’48.0” N, 122°51”16.6” W] and held in experimental aquaria at the University of Washington in Seattle, Washington, USA for up to 14 days. Mussels produced threads over the course of 4 hrs that were aged in fluctuating oxygen and pH conditions for up to 20 days. Adhesive plaques were then pulled to failure to determine adhesion strength. A second cohort of mussels was placed in static pH and Oxygen treatments, recording the number of threads produced by each over one week. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/785238
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1041213
    Keywords: Mussel attachment ; Mussel foot protein (Mfp) ; Mussel raft aquaculture ; Seawater pH ; Dissolved oxygen ; Seawater temperature ; Mytilus trossulus ; 3 4-dihydroxyphenyl-L-alanine (DOPA)
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: CPR plankton occurrence 2014-2019
    Description: Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from the Marine Biological Association of the UK, the CPR Survey, in the North Atlantic Ocean from Jan. 2014 to Jan. 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/765141
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1154661, NSF Division of Ocean Sciences (NSF OCE) OCE-1657887
    Keywords: Time series ; Monitoring ; CPR ; Phytoplankton ; Zooplankton ; Diet ; Size
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: pH
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of pH made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771304
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
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  • 74
    Publication Date: 2022-10-31
    Description: Dataset: Surface Irradiance
    Description: Surface irradiance measured on the roof of the Monterey Bay Aquarium (36.62 °N, 121.90 °W) from June to October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822517
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Surface irradiance
    Repository Name: Woods Hole Open Access Server
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  • 75
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: Nutrients
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of nutrients (phosphate, silicate, and nitrate plus nitrite) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771370
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: DIC
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of Dissolved Inorganic Carbon (DIC) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771333
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
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  • 77
    Publication Date: 2022-10-31
    Description: Dataset: AE1812 Alkaline phosphatase
    Description: This dataset reports alkaline phosphatase activities (APA) for 3 incubation runs and 33 in situ samples collected on RV/Atlantic Explorer cruise AE1812 in May 2018. The samples were collected between Bermuda and Rhode Island. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/739973
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1558506
    Keywords: Alkaline phosphatase ; Diatoms
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  • 78
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: cell size
    Description: The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell size expressed as forward scatter as well as in equivalent spherical diameter (ESD) in microns. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771448
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
    Repository Name: Woods Hole Open Access Server
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  • 79
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Series 3A: POC, PON, Chl a
    Description: The experiments were designed to test the combined effects of CO2, temperatures, and light on growth and photophysiology of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of extracted chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON) made over the course of the experiments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/771594
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Keywords: Phytoplankton ; Diatoms ; Ocean acidification ; Multiple stressors ; Photosynthesis ; Biogenic silica
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  • 80
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: McMurdo Sound sea ice movement dates
    Description: This dataset contains dates relevant to sea ice movement including dates of initial ice retreat, final ice retreat, ice minimum, general ice minimum, ice minimum for the west of McMurdo Sound, ice minimum for the east of McMurdo Sound, and refreeze start. It also includes the minimum distance to the ice edge from McMurdo Station. Dates were derived from Moderate-resolution Imaging Spectroradiometers (MODIS) collected between 2003 and 2015 and Scanning Multichannel Microwave Radiometer and Special Sensor Microwave Imager-family passive microwave sensors (SSM/I) imagery collected between 1978 and 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/674819
    Description: NSF Division of Polar Programs (NSF PLR) PLR-0944747, NSF Division of Polar Programs (NSF PLR) PLR-0944511, NSF Division of Polar Programs (NSF PLR) PLR-0944694
    Keywords: Fast ice ; Sea ice ; Climatology ; McMurdo Sound
    Repository Name: Woods Hole Open Access Server
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  • 81
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Wetz-783256-Sonde
    Description: Bottom and surface water quality sonde data of the Guadalupe Estuary site (Texas) between August 2017 and December 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/787319
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760006
    Keywords: Hurricane Harvey ; Freshwater Inflow ; Flooding ; Water quality ; Texas Coast ; Estuary ; Salinity ; Temperature ; Dissolved oxygen ; Sonde ; Continuous data
    Repository Name: Woods Hole Open Access Server
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  • 82
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds and Lasker MEPS 2019 Fig 3: Community NMDS
    Description: Octocoral community NMDS from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 3, Community non-metric multidimensional scaling (NMDS). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/789181
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756678
    Keywords: Octocorals ; Soft corals ; Gorgonians
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  • 83
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Carpenter 2018: metabolism
    Description: This dataset contains coral community metabolism data from outdoor flumes at the UCB Gump Research Station Moorea, French Polynesia. These measurements were taken during an experiment designed to measure coral reef community metabolism responses to ocean acidification over a 4-month period from November 13th, 2015 to March 15th, 2016. These data were published in Carpenter et al. (2018). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/754676
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Keywords: OA ; Ocean acidification ; Coral reefs ; Coral community ; Moorea
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  • 84
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: In situ biogeochemical time-series in Bermuda 2017
    Description: In situ biogeochemical measurements including pCO2, pH, alkalinity, oxygen, temperature and salinity for a time-series in Bermuda, September 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/783568
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1459255
    Keywords: Autonomous sensors ; Autonomous pCO2 ; Autonomous alkalinity ; Autonomous pH ; Salinity ; SAMI ; DeGrandpre ; Hog Reef ; Bermuda
    Repository Name: Woods Hole Open Access Server
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  • 85
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mumford Cove Monitoring Data
    Description: Despite their importance for research and environmental protection, there's still a shortage of high quality and high-resolution temperature, pH, and oxygen data particularly in shallow coastal habitats. We monitor five important environmental parameters (i.e., depth, temperature, salinity, pH, and dissolved oxygen) at 30 minute intervals in Mumford Cove, CT (41 degrees 19'25"N, 72 degrees 01'07"W), a small (2 km N-S × 0.5 km E-W), shallow (1-5m), cone-shaped embayment opening to northeastern Long Island Sound, with protected marsh habitat along its western side, marsh and beach habitat along its eastern side, and an extensive seagrass (Zostera marina) cover. Continuous monitoring is achieved by swapping identical and recalibrated probes (Eureka Manta Sub2) every 3-5 weeks. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/659874
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536336
    Keywords: Salinity ; PH ; Temperature ; Depth ; Dissolved oxygen ; Long Island Sound ; Marsh ; Seagrass
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  • 86
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Carpenter 2018: hourly metabolism
    Description: This dataset contains hourly coral community metabolism data from outdoor flumes at the UCB Gump Research Station Moorea, French Polynesia. These measurements were taken during an experiment designed to measure coral reef community metabolism responses to ocean acidification over a 4-month period from November 13th, 2015 to March 15th, 2016. These data were published in Carpenter et al. (2018). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/754685
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Keywords: OA ; Ocean acidification ; Coral reefs ; Coral community ; Moorea
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  • 87
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: 2018 Ross Sea Zooplankton Abundance: IKMT
    Description: Isaacs-Kid Midwater Trawl (IKMT) hauls were conducted during the R/V Nathaniel B. Palmer cruise NBP18-01 in Jan-Feb 2018. These data represent the zooplankton species and abundance analysis resulting from these sample collections. A companion dataset of ring net tow abundances is also available. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/792385
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1743035
    Keywords: Ross Sea ; Zooplankton abundance
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  • 88
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Pacific Nitrite Oxidoreductase
    Description: Nitrite Oxidoreductase targeted metaproteomics from R/V Kilo Moana cruise KM1128 and R/V Falkor cruise FK160115 in the Central Pacific Ocean in 2011 and 2016. NxrA and NxrB peptide concentrations in fmol/L. Peptide names are using the GEOTRACES naming convention (PEP for peptide, full tryptic peptide amino acid sequence, Protein name, Sampling device (=Pump)). Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. These data were published in Saito et al., 2020 as Supplementary Table 1. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/806510
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1031271, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, NSF Division of Ocean Sciences (NSF OCE) OCE-1657766, NSF Division of Ocean Sciences (NSF OCE) OCE-1736599, NSF Division of Ocean Sciences (NSF OCE) OCE-1850719, NSF Division of Ocean Sciences (NSF OCE) OCE-1924554
    Keywords: Nitrite ; Nitrogen ; Enzyme ; Iron ; ProteOMZ ; Metzyme
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  • 89
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds et al. 2019b: Sizes of organisms fixed to flume floor
    Description: These data describe the fauna that was secured to a metal grid in the bottom of the flume. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/793674
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Keywords: Ocean acidification ; OA ; Flume ; LTER ; Coral reefs ; Moorea ; Moorea Coral Reef LTER ; Coral community
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  • 90
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Edmunds et al. MarBio 2019a: Light and rainfall data
    Description: Light and rainfall data from surveys conducted at Windswept Beach and Great Lameshur Bay, St. John, US Virgin Islands in 2016 and 2017. These data were used in Edmunds et al. (2019) in Figure 1. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/793461
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1801335
    Keywords: Underwater light ; Coral reef ; Kd ; PAR ; Virgin Islands
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: IODP360 - Drill fluid contamination testing
    Description: Supplementary Table 2: Drill fluid contamination testing. GC mass spectrometry measurements of concentrations of the tracers PFMD and PFMC in drilling fluid and sample materials. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/810923
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658031
    Keywords: Atlantis bank ; Transcriptomes ; Gene expression ; Gabbro ; Oceanic crust ; Metabolic pathways
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  • 92
    Publication Date: 2022-10-31
    Description: Dataset: Proteinaceous material content
    Description: Protein assay of proteinaceous material in pelagic sediment from the North Atlantic gyre, South Pacific gyre, and Peru Basin from cruises KN223 (R/V Knorr), KNOX02RR (R/V Roger Revelle), and ODP leg 201 between 2002 and 2013. Sediment samples were taken with gravity corers, multi corers, piston and advanced piston corers (APC). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782742
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0939564
    Keywords: Pelagic sediment ; Protein ; Proteinaceous material ; Deep biosphere
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  • 93
    Publication Date: 2022-10-31
    Description: Dataset: Organic polymers and domoic acid
    Description: Organic polymer formation and domoic acid adsorption. Results from lab experiments designed to investigate organic polymer formation and domoic acid adsorption. Water samples were collected in the northern Gulf of Mexico in 2018 and 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/808280
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1558957, U.S. Food and Drug Administration (FDA) 5U19FD005923-04
    Keywords: Domoic acid ; Organic polymers ; Microgels ; Marine snow ; Transparent exopolymers ; Adsorption
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  • 94
    Publication Date: 2022-10-31
    Description: Dataset: Community
    Description: Sampling information from community megafauna collected from different seep sites off the Costa Rica margin. Collections taken aboard R/V Atlantis in 2017 and 2018 using DSV Alvin. The 2019 collections were made aboard R/V Falkor, using the ROV Subastian. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/806673
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635219
    Keywords: Cold seep ; Methane seep ; Methane-seep community ; Costa Rica ; Deep-sea megafauna
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mussel Adhesive Plaques - dissolved oxygen, salinity, and temperature
    Description: Data generated from laboratory experiments that investigated the influence of the dissolved oxygen concentration, salinity, and temperature of seawater on plaque attachment as the material aged. Mussels (M. trossulus) were collected from Penn Cove Shellfish, Quilcene Bay, Quilcene, Washington, USA [47°47’42.0” N, 122°51”10.8” W] and held experimental aquaria at the University of Washington in Seattle, Washington, USA for up to 14 days. Mussels produced threads over the course of 4 hrs that were incubated in a range of dissolved oxygen, temperature, and salinity conditions for up to 12 days. Adhesive plaques were then pulled to failure to determine adhesion strength. These data accompany the manuscript (George, M.N., Pedigo, B., and Carrington, E. 2018). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/784377
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1041213
    Keywords: Mussel attachment ; Mussel foot protein (Mfp) ; Dissolved oxygen ; Mytilus trossulus ; 3 4-dihydroxyphenyl-L-alanine (DOPA)
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Benthic macroalgal carbon uptake rates
    Description: Benthic macroalgal and water column carbon uptake rates in an experimental chamber, Maunalua, O’ahu, Hawai’i, 2015-2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822216
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538393
    Keywords: Macroalgae ; Productivity ; Isotope enrichment ; Coral reef ; Invasive algae ; Phytoplankton
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Longterm Seagrass Cover Monitoring
    Description: Seagrass percent cover data from long-term monitoring of 20 selected sites sampled through the Texas Seagrass Monitoring program from August 2011 to September 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/813480
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807143
    Keywords: Seagrass ; Hurricane ; Benthic cover ; Disturbance
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  • 98
    Publication Date: 2022-10-31
    Description: Dataset: Carbon Flux Explorer CCE_LTER P1706 - Imagery
    Description: Original transmitted-light imagery and processed attenuance images of sinking particles observed by autonomous Carbon Flux Explorers deployed 100-500m in the California Current Regime, during the CCE-LTER process study (P1706) between June 2 and July 1, 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/825076
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538686
    Keywords: Marine snow ; Aggregates ; Twilight Zone ; California Current Ecosystem ; Autonomous Carbon Flux Explorer
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  • 99
    Publication Date: 2022-10-31
    Description: Dataset: Phosphorus uptake - biogeochemistry
    Description: Biogeochemistry of microbial phosphorus uptake from cruises in the Sargasso Sea at the Bermuda Atlantic Time-Series Station from 2011-2013. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/538091
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1046001, NSF Division of Ocean Sciences (NSF OCE) OCE-1046368, NSF Division of Ocean Sciences (NSF OCE) OCE-1046297, NSF Division of Ocean Sciences (NSF OCE) OCE-1045966
    Keywords: Phosphate kinetics ; Cyanobacteria ; Eco-evolutionary dynamics
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  • 100
    Publication Date: 2022-10-31
    Description: Dataset: Nighttime Surface Chlorophyll a
    Description: Nighttime surface chlorophyll-a concentrations at the MBARI OA1 Buoy (36° 37.373’ N, 121 ° 54.000’ W) from June to October 2018 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822494
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Chlorophyll a
    Repository Name: Woods Hole Open Access Server
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