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  • 2020-2024  (165,323)
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  • 1
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    Temporal and spatial dynamics of marine microorganisms in ice-covered seas (2022)
    In:  EPIC3
    Details
    Publication Date: 2024-05-16
    Description: The anthropogenic emissions of CO2 and other climate-active gases lead to a steep increase of global temperatures. Global climate change is particularly amplified in the Arctic (e.g., Serreze et al., 2009; Serreze and Barry, 2011). Increasing temperatures and the rapid sea ice decline have shown profound effects on life in the Arctic ecosystem (Wassmann et al., 2011). Climate model predictions suggest a seasonally sea ice-free Arctic well before the first half of this century (Overland and Wang, 2013; Docquier and Koenigk, 2021). The composition, structure and function of the Arctic microbiome will be altered with distinct effects on the marine system, on primary productivity, carbon fluxes and food web structures. Changes in the composition and structure of primary producers were already observed in Fram Strait (Nöthig et al., 2015), the boundary and highly dynamic zone between the Atlantic and the Arctic Ocean. These changes were reflected in the export flux of particulate organic matter (Lalande et al., 2013), also observable in the benthic communities (Jacob, 2014). Thus, understanding how the microbial communities changed over time under different environmental conditions is a scientific task needed to assess future changes in the Arctic ecosystem. This thesis aimed to understand the composition, distribution and function of bacteria, archaea and eukaryotic communities in Fram Strait across different spatial and temporal scales and their relationship with environmental variables. The overall objective was to identify signature groups and key factors of change, to provide a baseline to the effects of climate change and sea ice retreat. It provides a comprehensive overview of the Arctic microbiome by the incorporation of seawater, sinking particles and sea ice samples to identify key microbial indicators of change and environmental drivers in these communities. Samples were obtained in the frame work of the Long-Term Ecological Research (LTER) site HAUSGARTEN and the FRontiers in Marine Monitoring (FRAM) program. The results of Chapter I and Chapter II highlight the usage of methods free of compositional- bias and meta’omics approaches necessary to understand the role of microbial communities. The observations in Chapter I revealed that different water masses characterized by different physicochemical conditions harboured different active microbial communities. A late phytoplankton bloom dominated by diatoms in the surface waters of the eastern Fram Strait was identified, where members of the Bacteroidetes, Alteromonadales, Oceanospirillales and Rhodobacterales were significantly active. Abundant transcripts of transporters and fundamental cellular functions supported the degradation of organic matter. The deeper waters of Atlantic origin were marked by strong chemolithotrophic activities by members of Thaumarchaeota. In Chapter II I analysed bacterial and archaeal groups in deep-sea waters that benefitted from a phytoplankton bloom at the surface. Chapter III studied the development of microbial composition of sinking particles using a 12-year time-series study. The presence of sea ice and the passing warm anomaly were the drivers of change in these communities. In Chapter IV, microcosm experiments revealed bacterial taxa that responded to eukaryotes and substrates sourced from the sea ice during sea ice melt in seawater. Altogether, the results of this thesis provide baseline knowledge to better assess the effects of climate change on the Arctic microbiome and the consequences for ecosystem functioning and carbon cycling.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
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  • 2
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    The Expeditions PS139/1 and PS139/2 of the Research Vessel POLARSTERN to the Atlantic Ocean in 2023 (2024)
    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 785, 36 p., ISSN: 1866-3192
    Details
    Publication Date: 2024-05-15
    Repository Name: EPIC Alfred Wegener Institut
    Type: "Berichte zur Polar- und Meeresforschung" , notRev
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  • 3
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    Mit Wilhelm Filchner in das Weddellmeer. Paul Björvigs Tagebuch von der deutschen Antarktischen Expedition 1911 – 1912 (2024)
    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 783, 119 p., pp. 1-119, ISSN: 1866-3192
    Details
    Publication Date: 2024-05-15
    Repository Name: EPIC Alfred Wegener Institut
    Type: "Berichte zur Polar- und Meeresforschung" , notRev
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  • 4
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    Expeditions to Antarctica: ANT-Land 2022/23 NEUMAYER STATION III, Kohnen Station and Field Campaigns (2024)
    Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 784, 217 p., pp. 1-217, ISSN: 1866-3192
    Details
    Publication Date: 2024-05-15
    Repository Name: EPIC Alfred Wegener Institut
    Type: "Berichte zur Polar- und Meeresforschung" , notRev
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  • 5
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    The Weimar triangle should lead on EU industrial policy (2024)
    Paris : Institut Montaigne
    Details
    Publication Date: 2024-05-15
    Description: In the race against time, the European Union must move swiftly to navigate the green transition. This imperative isn't just about staying ahead in the global green technology competition; it is about securing the future of Europe's economy while combating climate change. Ahead of the EU elections looming, the urgency of this dual challenge cannot be overstated. With a new pro-EU Polish government in place, the Weimar Triangle - a trilateral forum that brings together Poland, France and Germany - could provide the ideal place to offer a new bold industrial policy leadership in Europe.
    Keywords: ddc:320
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: workingpaper , doc-type:workingPaper
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  • 6
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    Global Prediction Of Total Organic Carbon In Marine Sediments Using Deep Neural Networks (nn-toc) (2024)
    GEOMAR Helmholtz Centre for Ocean Research
    Details
    Publication Date: 2024-05-15
    Description: We create a deep neural network based approach for the geospatial predicition of total organic carbon percentages in marine sediments. The code in the repository includes jupyter notebooks and python files to pre-process the data, train the models and post-process the outputs.
    Type: Software , NonPeerReviewed
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  • 7
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    Effects of environmental and climatic drivers on abyssal macrobenthic infaunal communities from the NE Pacific nodule province (2024)
    Springer
    Details
    Publication Date: 2024-05-15
    Description: The macrofauna in soft sediments of the deep seafloor is generally diverse and represents a comparatively well-studied faunal group of deep-sea ecosystems. In the abyss of the Clarion Clipperton Fracture Zone (CCFZ) in the NE Pacific, macrofauna are major contributors to benthic biodiversity. Their distribution, composition, and diversity have been frequently investigated to assess the potential impacts of future mining activities on the resident fauna. In this study, patterns of densities and community structure of CCFZ macrobenthic infauna and their relationships with a range of environmental and climatic variables were examined, with a special focus on communities from the eastern German contract area (referred to as BGR CA). However, comparisons were also made with other contractor areas (e.g., IFREMER, IOM, GSR) and one Area of Particular Environmental Interest (APEI3). Material for this study was obtained by means of a box corer during six expeditions to the CCFZ between 2013 and 2018 resulting in 148 samples. Our study uncovered notable spatial and temporal variations in both faunal densities and community composition. While areas within the BGR CA exhibited a similar community composition, slight differences were observed between the various CAs and APEI3. Surprisingly, we found an unexpected negative correlation between food availability and both macrofaunal density and community structure that may be attributed to differences in sampling methodologies and pronounced temporal variation. Furthermore, we explored the impact of climatic fluctuations associated with the El Niño/Southern Oscillation (ENSO) on macrofaunal densities, observing an increase during warm (El Niño) events. Our findings underscore the challenges of accurately assessing spatial and temporal variations in the absence of standardised sampling protocols. Hence, we emphasize the importance of adopting standardised protocols to enhance data comparability, thereby fostering a deeper understanding of the underlying factors influencing spatial and temporal changes in macrofauna community structure within the CCFZ.
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  • 8
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    Carbon isotopes in the marine biogeochemistry model FESOM2.1-REcoM3 (2024)
    Copernicus Publications (EGU)
    Details
    Publication Date: 2024-05-15
    Description: In this paper we describe the implementation of the carbon isotopes 13C and 14C (radiocarbon) into the marine biogeochemistry model REcoM3. The implementation is tested in long-term equilibrium simulations where REcoM3 is coupled with the ocean general circulation model FESOM2.1, applying a low-resolution configuration and idealized climate forcing. Focusing on the carbon-isotopic composition of dissolved inorganic carbon (δ13CDIC and Δ14CDIC), our model results are largely consistent with reconstructions for the pre-anthropogenic period. Our simulations also exhibit discrepancies, e.g. in upwelling regions and the interior of the North Pacific. Some of these differences are due to the limitations of our ocean circulation model setup, which results in a rather shallow meridional overturning circulation. We additionally study the accuracy of two simplified modelling approaches for dissolved inorganic 14C, which are faster (15 % and about a factor of five, respectively) than the complete consideration of the marine radiocarbon cycle. The accuracy of both simplified approaches is better than 5 %, which should be sufficient for most studies of Δ14CDIC.
    Type: Article , PeerReviewed
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  • 9
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    Lithospheric Structure Controls Sequentially Active Detachment Faulting at the Longqi Segment on the Southwest Indian Ridge (2023)
    AGU (American Geophysical Union) | Wiley
    Details
    Publication Date: 2024-05-15
    Description: Oceanic detachment faulting, a major mode of seafloor accretion at slow and ultraslow spreading ridges, is thought to occur during magma‐poor phases and be abandoned when magmatism increases. In this framework, detachment faulting is the result of temporal variations in magma flux, which is inconsistent with recent geophysical observations at the Longqi segment on the Southwest Indian Ridge (49°42′E). In this paper, we focus on this sequentially active detachment faulting system that includes an old, inactive detachment fault and a younger, active detachment fault. We investigate the mechanisms controlling the temporal evolution of this tectonomagmatic system by using 2D mid‐ocean ridge spreading models that simulate faulting and magma intrusion into a visco‐elasto‐plastic continuum. Our models show that temporal variations in magma flux alone are insufficient to match the inferred temporal evolution of the sequentially active detachment system. Rather we find that sequentially active detachment faulting spontaneously occurs at the Longqi segment as a function of lithospheric thickness. This finding is in agreement with an analytical model, which shows that a thicker axial lithosphere results in a smaller fault heave and that a flatter angle in lithosphere thickening away from the accretion axis stabilizes the active fault. A thicker axial lithosphere and its flatter off‐axis angle combined have the potential to modulate sequentially active detachment faulting at the Longqi segment. Our results thus suggest that temporal changes of magmatism are not necessary for the development and abandonment of detachment faults at ultraslow spreading ridges.
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  • 10
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    Upward mantle flow from novel seismic observations (UPFLOW) (2024)
    GFZ Data Services
    Details
    Publication Date: 2024-05-15
    Description: Abstract
    Description: The goal of the UPFLOW project is to develop new high-resolution seismic imaging approaches along with new data collection, and to use them to constrain upward flow in unprecedented detail. We conducted a large off-shore experiment in the Azores-Madeira-Canary Islands region, which is a unique natural laboratory with multiple upwellings that are poorly understood in general. UPFLOW deployed and recovered 49 ocean bottom seismometers (OBSs) in a ~1,000×2,000 km2 area in the Azores-Madeira-Canary Islands region starting in July 2021 for ~13 months, with an average spacing of ~150-200 km. The seismic deployment and recovery involved institutions from five different countries: Portugal (IPMA, IDL, Univ. of Lisbon, ISEL), Ireland (DIAS), UK (UCL), Spain (ROA) and Germany (Potsdam University, GFZ, Geomar, AWI). 32 OBSs were be rented from the DEPAS international pool of instruments maintained by the Alfred Wegener Institute (Bremerhaven), Germany, while other institutions borrowed additional instruments (7 from DIAS, 4 from IDL, 3 from ROA, 4 from GEOMAR). Most of the instruments have three-component wideband seismic sensors, but three different designs of OBS frames were used. Waveform data is available from the GEOFON data centre, under network code 8J, and is embargoed until May 2028. We want to acknowledge the exceptional support of the whole team of able seaman, steward, cooks, engineers, mechanicians, electricians and motorman assistants of the vessel RRV Mário Ruivo. With special Thanks to José Ângelo Gomes (Captain), Luís Ramos (Superintendent), Mafalda Carapuço Vessel’s manager (IPMA), Henrique Ferreira Land logistics (IPMA), Celine Ahmed and Jen Amery (Administrative support at UCL)
    Keywords: GEOMAR ; iMarl-DIAS ; IDL ; ROA ; Pressure ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; OBS ; Passive seismic ; Velocity ; MiniSEED ; DEPAS ; Amphibious ; Mantle plume ; Regional network ; Displacement ; Three-component[g] ; Natural
    Type: Dataset , Seismic Network
    Format: 2.7T
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  • 11
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    COST-G GravIS RL01 Ice-Mass Change Products (2020)
    GFZ Data Services
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    Publication Date: 2024-05-15
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Sasgen et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 products based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing ice-mass changes for the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). The ice-mass changes are provided both as basin average product and as gridded product.Basin-average ice-mass changes are obtained using the inversion procedure based on a forward modelling approach as described in Sasgen et al. (2013) for the AIS and Sasgen et al. (2012) for the GIS.Gridded ice-mass changes are provided at polar-stereographic grids with a grid spacing of 50 x 50 km^2. The applied algorithm is based on tailored sensitivity kernels (Groh & Horwath, 2016), and has also been used to generate gravimetric mass balance products within the ESA Climate Change Initiative (CCI) projects for the AIS and the GIS.These Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de).Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/ICE
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Ice-mass Change ; Time Variable Gravity ; Antarctic Mass Balance ; Greenland Mass Balance ; Sea-level Change ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 12
    Monograph available for loan
    Monograph available for loan
    SAP Business Technology Platform : Einsatz, Services, Erfolgsfaktoren (2022)
    Bonn : Rheinwerk Verlag
    Details Availability
    Call number: (DE-627)1768359164
    Type of Medium: Monograph available for loan
    Pages: 371 Seiten , Illustationen, Diagramme , 24 cm x 16.8 cm
    Edition: 2., aktualisierte und erweiterte Auflage
    ISBN: 9783836285940 , 3836285940
    Series Statement: SAP PRESS
    URL: Inhaltstext
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
    Language: German
    Branch Library: GFZ Library
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  • 13
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    Fuzzy large margin distribution machine for classification (2024)
    In:  International Journal of Machine Learning and Cybernetics
    Details
    Publication Date: 2024-05-15
    Description: As a variant of Support Vector Machine (SVM), Large Margin Distribution Machine (LDM) has been validated to outperform SVM both theoretically and experimentally. Due to the inevitable noise in real applications, the credibility of different samples is not necessarily the same, which is neglected by most existing LDM models. To tackle the above problem, this paper first introduces fuzzy set theory into LDM, and proposes a Fuzzy Large Margin Distribution Machine (FLDM) with better robustness and performance. Considering the noise and uncertainty in datasets, sample points farther from the center of homogenous class are less reliable. Therefore, a fuzzy membership function based on the distance to the class center is utilized to characterize the confidence of each sample, i.e., the degree to which the sample belongs to a certain category. Furthermore, different strategies are developed to obtain class centers for linearly separable and linearly inseparable problems. Experiments conducted on both artificial and UCI datasets verified the superiority of FLDM from different perspectives.
    Language: English
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  • 14
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    Spatial network disintegration based on kernel density estimation (2024)
    In:  Reliability Engineering & System Safety
    Details
    Publication Date: 2024-05-15
    Description: The problem of network disintegration, such as suppression of an epidemic spread and destabilization of terrorist networks, possesses extensive applications and has lately been the focus of growing interest. Many real-world complex systems are represented by spatial networks in which nodes and edges are spatially embedded. However, existing disintegration approaches for spatial network disintegration focus on singular aspects such as geospatial information or network topography, with insufficient modeling granularity. In this paper, we propose an effective and computationally efficient virtual node model that essentially integrates the geospatial information and topology of the network by modeling edges as virtual nodes with weights. Moreover, we employ Kernel Density Estimation, a well-known non-parametric technique for estimating the underlying probability density function of samples, to fit all nodes, comprising both network and virtual nodes, to identify the critical region of the spatial network, which is also the circular geographic region where disintegration occurs. Extensive numerical experiments on synthetic and real-world networks demonstrate that our method outperforms existing methods in terms of both effectiveness and efficiency, which provides a fresh perspective for modeling spatial networks.
    Language: English
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  • 15
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    A protein transition can free up land to tap vast energy and negative emission potentials (2024)
    In:  One Earth
    Details
    Publication Date: 2024-05-15
    Description: Bioenergy with carbon capture and storage (BECCS) can help stabilize the climate by extracting carbon dioxide from the atmosphere while producing renewable energy. However, biomass availability would limit the potential of BECCS, and biomass cropland expansion may threaten biodiversity, food security, and water supply. Replacing land-intensive foods can help unlock sustainable biomass production. Here, we estimated BECCS energy and negative emissions using biomass grown on freed-up land when replacing animal-source foods. Biomass production excludes agricultural expansion to protect biodiversity, ensures enough food supply globally to safeguard food security, and constrains irrigation to secure water for people and ecosystems. Negative emissions consider supply chain emissions and the forgone sequestration from natural revegetation. Results show that replacing 50% of animal products by 2050 could release enough land for BECCS to generate 26.4–39.5 EJelec/year, the scale of coal power today, while removing 5.9–9.3 GtCO2e/year from the atmosphere, almost what coal power emits today.
    Language: English
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  • 16
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    Precipitation over northern South America and the far‐eastern Pacific duringENSO: Phase synchronization at inter‐annual time scales (2024)
    In:  International Journal of Climatology
    Details
    Publication Date: 2024-05-15
    Description: We investigated the influence of the El Niño-Southern Oscillation (ENSO) on inter-annual precipitation variability in the far-eastern Pacific (FEP) and northern South America (NSA) using an approach based on phase synchronization (PS). First, we carried out a detailed analysis of observational data to define the inter-annual variability, eliminate the seasonal residual frequencies in hydro-climatic anomalies, and assess the statistical significance of PS. Additionally, we characterized the seasonality of regional patterns of sea surface temperature, surface pressure levels, low-level winds and precipitation anomalies associated with the ENSO states. We found that the positive (negative) precipitation anomalies experienced in the FEP and NSA differ from those previously reported in the literature. In particular, the Guianas (northeastern Amazon) and the Caribbean constitute two regions with negative (positive) rainfall anomalies during El Niño (La Niña), separated by a zone of non-significant anomalies along the Orinoco Low-level Jet corridor. Moreover, we showed that the ENSO signal is phase-locked with inter-annual rainfall and low-level wind variability in most of the study regions. Furthermore, we found consistency in the PS between the Central and Eastern Pacific El Niño indices and hydroclimatic anomalies over the Pacific. However, some areas exhibited PS, although they did not show significant precipitation anomalies, suggesting that the influence of ENSO on tropical climatology manifests not only in terms of the magnitude of anomalies but also in terms of the phases only. Our approach advances the understanding of climatic anomalies in tropical regions and provides new insights into the non-linear interactions between ENSO and hydroclimatic processes in tropical Americas.
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  • 17
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    Redistribution of nitrogen to feed the people on a safer planet (2024)
    In:  PNAS Nexus
    Details
    Publication Date: 2024-05-15
    Description: Lack of nitrogen limits food production in poor countries while excessive nitrogen use in industrial countries has led to transgression of the planetary boundary. However, the potential of spatial redistribution of nitrogen input for food security when returning to the safe boundary has not been quantified in a robust manner. Using an emulator of a global gridded crop model ensemble, we found that redistribution of current nitrogen input to major cereals among countries can double production in the most food insecure countries, while increasing global production of these crops by 12% with no notable regional loss or reducing the nitrogen input to the current production by one third. Redistribution of the input within the boundary increased production by 6–8% compared to the current relative distribution, increasing production in the food insecure countries by two thirds. Our findings provide georeferenced guidelines for redistributing nitrogen use to enhance food security while safeguarding the planet.
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  • 18
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    Use of modelling tools to assess climate change impacts on smallholder oil seed yields in South Africa (2024)
    In:  PloS ONE
    Details
    Publication Date: 2024-05-15
    Description: Oil seed crops are the second most important field crops after cereals in the agricultural economy globally. The use and demand for oilseed crops such as groundnut, soybean and sunflower have grown significantly, but climate change is expected to alter the agroecological conditions required for oilseed crop production. This study aims to present an approach that utilizes decision-making tools to assess the potential climate change impacts on groundnut, soybean and sunflower yields and the greenhouse gas emissions from the management of the crops. The Decision Support Tool for Agrotechnology Transfer (DSSAT v4.7), a dynamic crop model and the Cool Farm Tool, a GHG calculator, was used to simulate yields and estimate GHG emissions from these crops, respectively. Four representative concentration pathways (RCPs 2.6, 4.5, 6.0, and 8.5), three nitrogen (0, 75, and 150 kg/ha) and phosphorous (0, 30 and 60 P kg/ha) fertilizer rates at three sites in Limpopo, South Africa (Ofcolaco, Syferkuil and Punda Maria) were used in field trials for calibrating the models. The highest yield was achieved by sunflower across all crops, years and sites. Soybean yield is projected to decrease across all sites and scenarios by 2030 and 2050, except at Ofcolaco, where yield increases of at least 15.6% is projected under the RCP 4.5 scenario. Positive climate change impacts are predicted for groundnut at Ofcolaco and Syferkuil by 2030 and 2050, while negative impacts with losses of up to 50% are projected under RCP 8.5 by 2050 at Punda Maria. Sunflower yield is projected to decrease across all sites and scenarios by 2030 and 2050. A comparison of the climate change impacts across sites shows that groundnut yield is projected to increase under climate change while notable yield losses are projected for sunflower and soybean. GHG emissions from the management of each crop showed that sunflower and groundnut production had the highest and lowest emissions across all sites respectively. With positive climate change impacts, a reduction of GHG emissions per ton per hectare was projected for groundnuts at Ofcolaco and Syferkuil and for sunflower in Ofcolaco in the future. However, the carbon footprint from groundnut is expected to increase by 40 to 107% in Punda Maria for the period up to 2030 and between 70-250% for 2050, with sunflower following a similar trend. We conclude that climate change will potentially reduce yield for oilseed crops while management will increase emissions. Therefore, in designing adaptation measures, there is a need to consider emission effects to gain a holistic understanding of how both climate change impacts on crops and mitigation efforts could be targeted.
    Language: English
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  • 19
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    Climate change critically affects the status of the land-system change planetary boundary (2024)
    In:  Environmental Research Letters
    Details
    Publication Date: 2024-05-15
    Description: The planetary boundaries framework defines a safe operating space for humanity. To date, these boundaries have mostly been investigated separately, and it is unclear whether breaching one boundary can lead to the transgression of another. By employing a dynamic global vegetation model, we systematically simulate the strength and direction of the effects of different transgression levels of the climate change boundary (using climate output from ten CMIP6 models for CO2 levels ranging from 350 ppm to 1000 ppm). We focus on climate change-induced shifts of Earth’s major forest biomes, the control variable for the land-system change boundary, both by the end of this century and, to account for the long-term legacy effect, by the end of the millennium. Our simulations show that while staying within the 350 ppm climate change boundary co-stabilizes the land-system change boundary, breaching it (〉450 ppm) leads to its critical transgression with greater severity, the higher the ppm level rises and the more time passes. Specifically, this involves a poleward treeline shift, boreal forest dieback (nearly completely within its current area under extreme climate scenarios), competitive expansion of temperate forest into today’s boreal zone, and a slight tropical forest extension. These interacting changes also affect other planetary boundaries (freshwater change and biosphere integrity) and provide feedback to the climate change boundary itself. Our quantitative process-based study highlights the need for interactions to be studied for a systemic operationalization of the framework.
    Language: English
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  • 20
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    biospheremetrics v1.0.2: an R package to calculate two complementary terrestrial biosphere integrity indicators: human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk) (2024)
    In:  Geoscientific Model Development
    Details
    Publication Date: 2024-05-15
    Description: Ecosystems are under multiple stressors and impacts can be measured with multiple variables. Humans have altered mass and energy flows of basically all ecosystems on Earth towards dangerous levels. However, integrating the data and synthesizing conclusions is becoming more and more complicated. Here we present an automated and easy to apply R package to assess terrestrial biosphere integrity which combines 2 complementary metrics: The BioCol metric quantifies the human colonization pressure exerted on the biosphere through alteration and extraction (appropriation) of net primary productivity, whereas the EcoRisk metric quantifies biogeochemical and vegetation structural changes as a proxy for the risk of ecosystem destabilization. Applied to simulations with the dynamic global vegetation model LPJmL5 for 1500–2016, we find that presently (period 2007–2016), large regions show modification and extraction of 〉25 % of the preindustrial potential net primary production, leading to drastic alterations in key ecosystem properties and suggesting a high risk for ecosystem destabilization. In consequence of these dynamics, EcoRisk shows particularly high values in regions with intense land use and deforestation, but also in regions prone to impacts of climate change such as the arctic and boreal zone. The metrics presented here enable global-scale, spatially explicit evaluation of historical and future states of the biosphere and are designed for use by the wider scientific community, not only limited to assessing biosphere integrity, but also to benchmark model performance. The package will be maintained on GitHub and through that we encourage application also to other models and data sets.
    Language: English
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    Deterrence through punishment can resolve collective risk dilemmas in carbon emission games (2023)
    In:  Chaos
    Details
    Publication Date: 2024-05-15
    Description: Collective risk social dilemmas are at the heart of the most pressing global challenges we are facing today, including climate change mitigation and the overuse of natural resources. Previous research has framed this problem as a public goods game (PGG), where a dilemma arises between short-term interests and long-term sustainability. In the PGG, subjects are placed in groups and asked to choose between cooperation and defection, while keeping in mind their personal interests as well as the commons. Here, we explore how and to what extent the costly punishment of defectors is successful in enforcing cooperation by means of human experiments. We show that an apparent irrational underestimation of the risk of being punished plays an important role, and that for sufficiently high punishment fines, this vanishes and the threat of deterrence suffices to preserve the commons. Interestingly, however, we find that high fines not only avert freeriders, but they also demotivate some of the most generous altruists. As a consequence, the tragedy of the commons is predominantly averted due to cooperators that contribute only their “fair share” to the common pool. We also find that larger groups require larger fines for the deterrence of punishment to have the desired prosocial effect.
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    Challenges in the attribution of river flood events (2024)
    In:  Wiley Interdisciplinary Reviews: Climate Change
    Details
    Publication Date: 2024-05-15
    Description: Advances in the field of extreme event attribution allow to estimate how anthropogenic global warming affects the odds of individual climate disasters, such as river floods. Extreme event attribution typically uses precipitation as proxy for flooding. However, hydrological processes and antecedent conditions make the relation between precipitation and floods highly nonlinear. In addition, hydrology acknowledges that changes in floods can be strongly driven by changes in land-cover and by other human interventions in the hydrological system, such as irrigation and construction of dams. These drivers can either amplify, dampen or outweigh the effect of climate change on local flood occurrence. Neglecting these processes and drivers can lead to incorrect flood attribution. Including flooding explicitly, that is, using data and models of hydrology and hydrodynamics that can represent the relevant hydrological processes, will lead to more robust event attribution, and will account for the role of other drivers beyond climate change. Existing attempts are incomplete. We argue that the existing probabilistic framework for extreme event attribution can be extended to explicitly include floods for near-natural cases, where flood occurrence was unlikely to be influenced by land-cover change and human hydrological interventions. However, for the many cases where this assumption is not valid, a multi-driver framework for conditional event attribution needs to be established. Explicit flood attribution will have to grapple with uncertainties from lack of observations and compounding from the many processes involved. Further, it requires collaboration between climatologists and hydrologists, and promises to better address the needs of flood risk management.
    Language: English
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    Global multi-hazard risk assessment in a changing climate (2024)
    In:  Scientific Reports
    Details
    Publication Date: 2024-05-15
    Description: Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated risks is crucial for many applications such as adaptation option appraisal and insurance pricing. However, traditional risk assessment approaches have focused on the impacts of single hazards, ignoring the effects of multi-hazard risks and potentially leading to underestimations or overestimations of risks. In this work, we present a framework for modelling multi-hazard risks globally in a consistent way, considering hazards, exposures, vulnerabilities, and assumptions on recovery. We illustrate the approach using river floods and tropical cyclones impacting people and physical assets on a global scale in a changing climate. To ensure physical consistency, we combine single hazard models that were driven by the same climate model realizations. Our results show that incorporating common physical drivers and recovery considerably alters the multi-hazard risk. We finally demonstrate how our framework can accommodate more than two hazards and integrate diverse assumptions about recovery processes based on a national case study. This framework is implemented in the open-source climate risk assessment platform CLIMADA and can be applied to various hazards and exposures, providing a more comprehensive approach to risk management than conventional methods.
    Language: English
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    Impact of global heterogeneity of renewable energy supply on heavy industrial production and green value chains (2024)
    In:  Nature Energy
    Details
    Publication Date: 2024-05-15
    Description: On the path to climate neutrality, global production locations and trade patterns of basic materials might change due to the heterogeneous availability of renewable electricity. Here we estimate the ‘renewables pull’, which is the energy-cost savings, for varying depths of relocation for three key tradable energy-intensive industrial commodities: steel, urea and ethylene. For an electricity-price difference of €40 MWh−1, we find respective relocation savings of 18%, 32% and 38%, which might, despite soft factors in the private sector, lead to green relocation. Conserving today’s production patterns by shipping hydrogen is substantially costlier, whereas trading intermediate products could save costs while keeping substantial value creation in renewable-scarce importing regions. In renewable-scarce regions, a societal debate on macroeconomic, industrial and geopolitical implications is needed, potentially resulting in selective policies of green-relocation protection.
    Language: English
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    The economics of farming expansion in the Brazilian Cerrado under possible effects of climate change (2024)
    In:  International Food and Agribusiness Management Review
    Details
    Publication Date: 2024-05-15
    Description: This analysis assesses the financial viability of legally investing in native Cerrado vegetation deforestation for crop production, considering climate change. The study uses data from twelve different crop models based on three different climate models to evaluate potential future crop yields in cleared land for growing soy and maize. The outcomes show that in many micro-regions, investments in clearing land for crop production would destroy economic value, that is, generate a negative net present value because of low/negative and volatile cashflows driven primarily by future yields as affected by climate. Our analysis was carried out based on present agricultural practices and technology. As climate changes, farmers may adapt their practices, which can lead to more resilient and productive crops, or grow different crops, which could provide better returns on investment in clearing land than the ones resulting from our analysis. Despite various uncertainties, farmers, policy makers and financial institutions should be aware of the climatic and financial risks associated with land clearing in Brazil, mainly in micro-regions in which all scenarios resulted in negative outcomes in the investment analysis. This study indicates that land expansion opportunities on degraded land should be prioritized over additional land clearing.
    Language: English
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    Ten New Insights in Climate Science 2023/2024 (2024)
    In:  Global Sustainability
    Details
    Publication Date: 2024-05-15
    Description: The IPCC Assessment Reports offer the scientific foundation for international climate negotiations and constitute an unmatched resource for climate change researchers. However, the assessment cycles take multiple years. As a contribution to cross- and interdisciplinary understanding across diverse climate change research communities, we have streamlined an annual process to identify and synthesise essential research advances. We collected input from experts on different fields using an online questionnaire and prioritised a set of ten key research insights with high policy relevance. This year we focus on: (1) looming overshoot of the 1.5°C warming limit, (2) urgency of phasing-out fossil fuels, (3) challenges for scaling carbon dioxide removal, (4) uncertainties regarding the future of natural carbon sinks, (5) need for join governance of biodiversity loss and climate change, (6) advances in the science of compound events, (7) mountain glacier loss, (8) human immobility in the face of climate risks, (9) adaptation justice, and (10) just transitions in food systems. We first present a succinct account of these Insights, reflect on their policy implications, and offer an integrated set of policy relevant messages. This science synthesis and science communication effort is also the basis for a report targeted to policymakers as a contribution to elevate climate science every year, in time for the UNFCCC COP.
    Language: English
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    Direction-dependent noise-induced synchronization in mobile oscillators (2023)
    In:  Chaos
    Details
    Publication Date: 2024-05-15
    Description: Synchronization among uncoupled oscillators can emerge when common noise is applied on them and is famously known as noise-induced synchronization. In previous studies, it was assumed that common noise may drive all the oscillators at the same time when they are static in space. Understanding how to develop a mathematical model that apply common noise to only a fraction of oscillators is of significant importance for noise-induced synchronization. Here, we propose a direction-dependent noise field model for noise-induced synchronization of an ensemble of mobile oscillators/agents, and the effective noise on each moving agent is a function of its direction of motion. This enables the application of common noise if the agents are oriented in the same direction. We observe not only complete synchronization of all the oscillators but also clustered states as a function of the ensemble density beyond a critical value of noise intensity, which is a characteristic of the internal dynamics of the agents. Our results provide a deeper understanding on noise-induced synchronization even in mobile agents and how the mobility of agents affects the synchronization behaviors.
    Language: English
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    Green transition and macroeconomic stabilization (2024)
    In:  Journal of Economic Behavior & Organization
    Details
    Publication Date: 2024-05-15
    Description: This paper looks into the crucial macroeconomic feedback mechanisms emerging from the interplay among the goods market, the labor market, the financial sector, and monetary policy, particularly in the context of transitioning towards a climate-neutral economy. The investment decisions of firms, pivotal in this interaction, can trigger feedback loops with potentially destabilizing effects, underscoring the critical role of investment within the complex interplay of market and sector dynamics in the macroeconomy. Governmental intervention is highlighted as a key factor in steering the green transition while preserving economic stability. A carbon tax on fossil fuel consumption is proposed as a primary tool for facilitating this green transition. Our investigation employs a disequilibrium model of monetary growth, a la Keynes-Metzler-Goodwin (KMG), incorporating a portfolio perspective across three asset markets - money, bonds, and stocks. This framework allows for an in-depth analysis of how a carbon tax influences real production, inflation, and inequality during the transition. Our findings indicate that imposing a carbon tax on production does not markedly disrupt economic stability, as long as the carbon pricing and its growth rate remain within low bounds.
    Language: English
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    Asset pricing and the carbon beta of externalities (2024)
    In:  Journal of Environmental Economics and Management
    Details
    Publication Date: 2024-05-15
    Description: Climate policy needs to set incentives for investors who face imperfect, distorted markets and large uncertainties about the costs and benefits of abatement. These investors decide on uncertain investments according to their expected return and risk (carbon beta). We study carbon pricing and financial incentives in a consumption-based asset pricing model distorted by technology spillovers and time-inconsistency. We find that both distortions reduce the equilibrium asset return and delay investment in abatement. However, their effect on the carbon beta and the risk premium for abatement can be decreasing (when innovation spillovers are not anticipated) or increasing (when climate policy is not credible). We show that the distortions can be overcome by modified carbon pricing by a regulator, or by financial incentives, implemented in our model by a long-term investment fund. The fund pays a subsidy to reduce technology costs or offers financial contracts to boost investment returns to complement the carbon price. The investment fund can thus pave the way for carbon pricing in later periods by preventing a capital misallocation that would be too expensive to correct, thus improving the feasibility of ambitious carbon pricing.
    Language: English
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    Theory and description in African Linguistics (2021)
    Language Science Press
    Details
    Publication Date: 2024-05-15
    Description: The papers in this volume were presented at the 47th Annual Conference on African Linguistics at UC Berkeley in 2016. The papers offer new descriptions of African languages and propose novel theoretical analyses of them. The contributions span topics in phonetics, phonology, syntax, semantics, and pragmatics and reflect the typological and genetic diversity of languages in Africa. Four papers in the volume examine Areal Features and Linguistic Reconstruction in Africa, and were presented at a special workshop on this topic held alongside the general session of ACAL.
    Keywords: Linguistics ; thema EDItEUR::C Language and Linguistics::CF Linguistics
    Language: English
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    Shattering Minds (2024)
    Finnish Literature Society / SKS | Finnish Literature Society
    Details
    Publication Date: 2024-05-15
    Description: This study offers a new perspective on unusual and unsettling experiences that are often interpreted as “mental illnesses” and on the techniques through which literary representations invite readerly responses and engagement. The book examines how four Finnish modernist writers, Helvi Hämäläinen, Jorma Korpela, Timo K. Mukka, and Maria Vaara, construct experiences of shattering and distress as bodily experiences that are embedded in the social and material world and entangled with social and cultural norms that govern subjectivity, gender, and sexuality. Drawing on narrative theory, theories of embodied cognition, phenomenology of illness, and feminist theory, the analyses show how literary works can invite readers to respond emotionally and to reflect on our views of the human mind and its interaction with the world. The book sheds light on the fictional portrayals and techniques of representation and on the ethics of narrating and reading about painful experiences. It also illuminates the ways the mind, body, consciousness, and mental distress are discussed in Finnish modernist literature and situates the texts in the international modernist tradition.
    Keywords: phenomenology; narratology; modernism; mental disorders; Finnish language literature; literary research ; thema EDItEUR::D Biography, Literature and Literary studies ; thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNT Social law and Medical law::LNTM Medical and healthcare law
    Language: English
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    My Life as a Night Elf Priest: An Anthropological Account of World of Warcraft (2021)
    University of Michigan Press
    Details
    Publication Date: 2024-05-15
    Description: World of Warcraft rapidly became one of the most popular online world games on the planet, amassing 11.5 million subscribers—officially making it an online community of gamers that had more inhabitants than the state of Ohio and was almost twice as populous as Scotland. It's a massively multiplayer online game, or MMO in gamer jargon, where each person controls a single character inside a virtual world, interacting with other people's characters and computer-controlled monsters, quest-givers, and merchants. In My Life as a Night Elf Priest, Bonnie Nardi, a well-known ethnographer who has published extensively on how theories of what we do intersect with how we adopt and use technology, compiles more than three years of participatory research in Warcraft play and culture in the United States and China into this field study of player behavior and activity. She introduces us to her research strategy and the history, structure, and culture of Warcraft; argues for applying activity theory and theories of aesthetic experience to the study of gaming and play; and educates us on issues of gender, culture, and addiction as part of the play experience. Nardi paints a compelling portrait of what drives online gamers both in this country and in China, where she spent a month studying players in Internet cafes. Bonnie Nardi has given us a fresh look not only at World of Warcraft but at the field of game studies as a whole. One of the first in-depth studies of a game that has become an icon of digital culture, My Life as a Night Elf Priest will capture the interest of both the gamer and the ethnographer.
    Keywords: Media ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology ; thema EDItEUR::U Computing and Information Technology::UD Digital Lifestyle and online world: consumer and user guides::UDB Internet guides and online services::UDBV Virtual worlds ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WD Hobbies, quizzes and games::WDH Hobbies::WDHW Role-playing, war games and fantasy sports
    Language: English
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    Widerspiegelung (2021)
    transcript Verlag
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    Publication Date: 2024-05-15
    Description: Den Kern einer dialektischen und materialistischen Philosophie, die einen Weltbegriff begründen will, bildet die Kategorie »Widerspiegelung«. Sie hat primär eine ontologische und daraus abgeleitet eine erkenntnistheoretische Bedeutung. Ausgehend von Leibniz und Hegel, von Marx und Lenin hat Hans Heinz Holz in zahlreichen Publikationen eine Theorie der Widerspiegelung ausgearbeitet, die von einem exakten Gebrauch der Spiegelmetapher ausgeht. Im vorliegenden Band wird der systematische Gehalt des Widerspiegelungsbegriffs zusammengefasst und durch einen philosophiegeschichtlichen Rückblick vertieft.
    Keywords: Dialektik ; Grundlage der Philosophie ; Metapher ; Logik ; Systematische Philosophie ; Spiegel-Metapher ; Sprache ; Erkenntnistheorie ; Sprachphilosophie ; Philosophiegeschichte ; Philosophie ; Language ; Epistemology ; Philosophy of Language ; History of Philosophy ; Philosophy ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFA Philosophy of language ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDH Philosophical traditions and schools of thought ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTK Philosophy: epistemology and theory of knowledge
    Language: German
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    The Long Walk to Equality (2024)
    University of Westminster Press
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    Publication Date: 2024-05-15
    Description: In 1965 the UK enacted the Race Relations Act while the International Convention on the Elimination of all Forms of Racial Discrimination (ICERD) opened for signature and ratification. In the US, the changes that brought down the walls of segregation, conveying some equality to black people essentially began with the Civil Rights Act of 1964. These ground-breaking instruments marked a commitment—domestically and internationally by the state parties to the ICERD—to address racial injustice and inequality through legal means. Yet, the intervening years reveal the challenges of pursuing racial justice and equality through the medium of law. In recent years, allegations of institutional racism have been levelled against numerous public institutions in the UK, while the rise of populism globally has challenged the ability of law to effect change. This edited collection draws attention to the need to reflect on the persistence of racial inequalities and injustices despite law’s intervention and arguably because of its ‘unconscious’ role in their promotion. It does so from a multiplicity of perspectives ranging from the doctrinal, socio-legal, critical and theoretical, thereby generating different kinds of knowledge about race and law. By exploring contemporary issues in racial justice and equality, contributors examine the role of law—whether domestic or international, hard or soft—in advancing racial equality and justice and consider whether it can effect substantive change.
    Keywords: Immigration; Stop and Search Laws; Terrorism Funds; The International Convention on the Elimination of All Forms of Racial Discrimination; Legal Academia; Legal Profession; Equality; Race; Law ; thema EDItEUR::L Law ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
    Language: English
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    Cultural Encounters on China’s Ethnic Frontiers (2023)
    University of Washington Press | University of Washington Press
    Details
    Publication Date: 2024-05-15
    Description: Open-access edition: DOI 10.6069/9780295804088 China's exploitation by Western imperialism is well known, but the imperialist treatment within China of ethnic minorities has been little explored. Around the geographic periphery of China, as well as some of the less accessible parts of the interior, and even in its cities, live a variety of peoples of different origins, languages, ecological adaptations, and cultures. These people have interacted for centuries with the Han Chinese majority, with other minority ethnic groups (minzu), and with non-Chinese, but identification of distinct groups and analysis of their history and relationship to others still are problematic. Cultural Encounters on China's Ethnic Frontiers provides rich material for the comparative study of colonialism and imperialism and for the study of Chinese nation-building. It represents some of the first scholarship on ethnic minorities in China based on direct research since before World War II. This, combined with increasing awareness in the West of the importance of ethnic relations, makes it an especially timely book. It will be of interest to anthopologists, historians, and political scientists, as well as to sinologists.
    Keywords: Social and cultural anthropology
    Language: English
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    Chapter An immersive experience for the room with agrestic paintings in Carditello (CE) (2022)
    FrancoAngeli
    Details
    Publication Date: 2024-05-15
    Description: The 43rd UID conference, held in Genova, takes up the theme of ‘Dialogues’ as practice and debate on many fundamental topics in our social life, especially in these complex and not yet resolved times. The city of Genova offers the opportunity to ponder on the value of comparison and on the possibilities for the community, naturally focused on the aspects that concern us, as professors, researchers, disseminators of knowledge, or on all the possibile meanings of the discipline of representation and its dialogue with ‘others’, which we have broadly catalogued in three macro areas: History, Semiotics, Science / Technology. Therefore, “dialogue” as a profitable exchange based on a common language, without which it is impossible to comprehend and understand one another; and the graphic sign that connotes the conference is the precise transcription of this concept: the title ‘translated’ into signs, derived from the visual alphabet designed for the visual identity of the UID since 2017. There are many topics which refer to three macro sessions: - Witnessing (signs and history) - Communicating (signs and semiotics) - Experimenting (signs and sciences) Thanks to the different points of view, an exceptional resource of our disciplinary area, we want to try to outline the prevailing theoretical-operational synergies, the collaborative lines of an instrumental nature, the recent updates of the repertoires of images that attest and nourish the relations among representation, history, semiotics, sciences.
    Keywords: Discipline of representation, History, Semiotics, Science, Technology ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTD Semiotics / semiology ; thema EDItEUR::N History and Archaeology::NH History ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
    Language: Italian , English
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    Place-Based Scientific Inquiry (2023)
    Taylor & Francis | Routledge
    Details
    Publication Date: 2024-05-15
    Description: Learn how to facilitate scientific inquiry projects by getting out of the classroom and connecting to the natural environment—in your schoolyard, or in your community! Providing a contemporary perspective on how to do scientific inquiry in ways that can make teachers’ lives easier and students’ experiences better, this book draws on authentic inquiry, engaging with communities, and teaching through project-based learning to help students design and carry out scientific inquiry projects that are grounded in their local places. This accessible guide will help you to develop skills around facilitation, team building, and learning outdoors in schoolyards and parks, acting as a go-to toolkit for teachers to help build confidence and skills in these areas. Written according to the Next Generation Science Standards, this book supports teachers in fostering community engagement and a justice-first classroom. The approachable resources included in this book will help teachers with all levels of experience succeed in empowering students grades 3–12 in their science learning. Additional support materials including template documents for student use and for teacher planning, as well as examples of real student work, are available online. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license
    Keywords: climate change ; instructional strategies ; NGSS ; outdoor education ; Science education ; teaching strategies
    Language: English
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    The Jalayirids (2021)
    Edinburgh University Press
    Details
    Publication Date: 2024-05-15
    Description: This book traces the origins, history, and memory of the Jalayirid dynasty, a family that succeeded the Mongol Ilkhans in Iran and Iraq in the 14th and early 15th centuries. The story of how the Jalayirids came to power is illustrative of the political dynamics that shaped much of the Mongol and post-Mongol period in the Middle East. The Jalayirid sultans sought to preserve the social and political order of the Ilkhanate, while claiming that they were the rightful heirs to the rulership of that order. Central to the Jalayirids' claims to the legacy of the Ilkhanate was their attempt to control the Ilkhanid heartland of Azarbayjan and its major city, Tabriz. Control of Azarbayjan meant control of a network of long-distance trade between China and the Latin West, which continued to be a source of economic prosperity through the 8th/14th century.
    Keywords: History ; Azerbaijan (Iran) ; Baghdad ; Emir ; Genghis Khan ; Ilkhanate ; Jalairid Sultanate ; Jalairs ; Sultan ; Tabriz ; thema EDItEUR::N History and Archaeology::NH History::NHG Middle Eastern history
    Language: English
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    Preface (2024)
    In:  The Mekong River Basin
    Details
    Publication Date: 2024-05-15
    Description: The Mekong River drains a catchment of over 800,000 km2 and is the world's 12th longest river (4800 km), the 8th largest water discharge (470 × 106 m3/year), and the 10th largest sediment load (160 × 106 tons/year). The Mekong starts on the Qinghai–Tibet Plateau with a maximal elevation of 5220 m, flows through six countries (China with 16% of its basin, Myanmar with 5% of its basin, Laos with 35% of its basin, Thailand with 18% of its basin, Cambodia with 18% of its basin, and Vietnam with 11% its basin), and empties into the Vietnam East Sea (South China Sea). The Mekong River basin (MRB) has the world's most diverse river ecosystem. It is the world's largest inland fishery. Its biodiversity is fundamental to agricultural production and the food security of 90 million people in the Lower Mekong basin, including about 18 million people in the Vietnamese Mekong delta.
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    Klimaneutralität 2045 – Chancen und Herausforderungen von DACCS und BECCS (2024)
    SynCom Koordinierungsbüro
    In:  Fact Sheet
    Details
    Publication Date: 2024-05-15
    Language: German
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    Species richness and intraspecific variation interactively shape marine diatom community functioning (2024)
    In:  Limnology and Oceanography Letters
    Details
    Publication Date: 2024-05-15
    Description: Biodiversity generally increases productivity in ecosystems; however, this is mediated by the specific functional traits that come with biodiversity loss or gain and how these traits interact with environmental conditions. Most biodiversity studies evaluate the effects of species richness alone, despite our increasing understanding that intraspecific diversity can have equally strong impacts. Here, we manipulate both species richness and intraspecific richness (i.e., number of distinct strains) in marine diatom communities to explicitly test the relative importance of species and strain richness for biomass and trait diversity in six distinct temperature/nutrient environments. We show that species and strain richness both have significant effects on biomass and growth rates, but more importantly, they interact with each other, indicating that cross-species diversity effects depend on within-species diversity and vice versa. This intertwined relationship thus calls for more integrative approaches quantifying the relative importance of distinct biodiversity components and environmental context on ecosystem functioning.
    Type: info:eu-repo/semantics/article
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  • 42
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    Der Meeresspiegel steigt - Was heißt das für Deutschland? (2023)
    SynCom Koordinierungsbüro
    In:  Fact Sheet
    Details
    Publication Date: 2024-05-15
    Language: German
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 43
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    Advances in photo-assisted seawater splitting promoted by green iron oxide-carbon nitride photoelectrocatalysts (2023)
    In:  Journal of Materials Chemistry A
    Details
    Publication Date: 2024-05-15
    Description: Solar-driven seawater electrolysis for hydrogen fuel production holds an outstanding potential towards the development of a carbon-neutral and sustainable energy infrastructure, but the development of green, efficient and stable photoelectrocatalysts selectively promoting oxygen evolution remains a formidable challenge. Motivated by this issue, in this work we propose a tailored combination of two economically viable materials, α-Fe2O3 and graphitic carbon nitride (gCN), to fabricate promising anodes – eventually decorated with cobalt phosphate (CoPi) particles – for alkaline seawater photosplitting. The target systems were fabricated via an original multi-step route, involving the plasma-enhanced chemical vapor deposition of iron(III) oxide on conducting glasses, the introduction of gCN in very small amounts by a rapid and facile electrophoretic process, and final annealing in air. A comprehensive characterization revealed the successful fabrication of composites featuring a tailored surface defectivity, a controlled nano-organization, and a close Fe2O3/gCN interfacial contact. After decoration with CoPi, the best performances corresponded to a Tafel slope of ≈100 mV dec−1 and overpotential values enabling us to rule out the competitive hypochlorite formation. In addition, photocurrent densities at 1.23 V vs. RHE showed a nearly 7-fold increase upon Fe2O3 functionalization with both gCN and CoPi. These amenable results, directly dependent on the electronic interplay at Fe2O3/gCN heterojunctions and on CoPi beneficial effects, are accompanied by a remarkable long-term stability, and may open up attractive avenues for clean energy production using natural resources.
    Type: info:eu-repo/semantics/article
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  • 44
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    Continuous wave and tide observations at BEFmate artificial islands in the back-barrier tidal flat, Spiekeroog, Germany, 2017-04 to 2018-12 (2020)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-05-15
    Description: Data presented here were collected between April 2017 to December 2018 within the BEFmate project (Biodiversity - Ecosystem Functioning across marine and terrestrial ecosystems, https://uol.de/icbm/verbundprojekte/abgeschlossene-projekte/befmate/ ) of the Universities of Oldenburg and Göttingen and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.71 / 0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: BEFmate; biodiversity - ecosystem functioning; experimental islands; ICBM; Institut für Chemie und Biologie des Meeres; salt marsh; Spiekeroog; water level; wave
    Type: Dataset
    Format: application/zip, 20 datasets
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  • 45
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    Continuous wave and tide observations at DynaCom artificial islands in the back-barrier tidal flat, Spiekeroog, Germany, 2019-01 to 2019-12 (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Data presented here were collected between January 2019 to December 2019 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; salt marsh; Spiekeroog; water level; wave
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 46
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    Continuous wave and tide observations (2020) at DynaCom artificial islands in the back-barrier tidal flat, Spiekeroog, Germany, 2020-01 to 2020-12 (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Data presented here were collected between January 2020 to December 2020 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; salt marsh; Spiekeroog; water level; wave
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 47
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    Continuous temperature observations in surface sediment within DynaCom experimental islands and saltmarsh enclosed plots at different elevation levels, Spiekeroog, Germany, 2020-01 to 2020-12 (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Data presented here were collected between January 2020 to December 2020 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Temperature in the sediment surface layer (in approximately 0.05m depth) was measured with DEFI-T miniature temperature recorders (JFE Advantech Co., Ltd., Tokyo; DEFI-T). The manufacturer pre-calibrated temperature recorders and were installed on the experimental islands and in salt-marsh enclosed plots at different elevation levels. Recorded data were internally logged until the readout with the DEFI Series software (V1.02). The position was derived from a portable DGPS-system. Date and Time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; salt marsh; Spiekeroog; Temperature
    Type: Dataset
    Format: application/zip, 108 datasets
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  • 48
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    Basic measurements of radiation at station Lindenberg (1994-10 et seq) (2022)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Lindenberg that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Baseline Surface Radiation Network; BSRN; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: application/zip, 333 datasets
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  • 49
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    Continuous wave and tide observations at station BEFmate_seafloor (2018-06) (2020)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEPTH, water; DynaCom_seafloor; experimental islands; ICBM; Institut für Chemie und Biologie des Meeres; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 46739 data points
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  • 50
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    Continuous wave and tide observations at station BEFmate_seafloor (2018-10) (2020)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEPTH, water; DynaCom_seafloor; experimental islands; ICBM; Institut für Chemie und Biologie des Meeres; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 51
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-01) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 46871 data points
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  • 52
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-05) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 53
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-08) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 54
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-10) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 55
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    Organic geochemistry of sediment core EN18208 from Lake Ilirney, Chukotka, far east Russia (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: AWI_Envi; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon, total; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; DEPTH, sediment/rock; EN18208; Nitrogen, total; Polar Terrestrial Environmental Systems @ AWI; Sample ID; SEDCO; Sediment corer; SibLake
    Type: Dataset
    Format: text/tab-separated-values, 565 data points
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  • 56
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    Carbon characteristics of five cores from a terrestrial permafrost area in northeastern Siberia (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer.
    Keywords: AWI Arctic Land Expedition; B1; B2; B3; biogeochemistry; CACOON; Carbon; Carbon, organic, total; Carbon, total; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Vario EL III; CH19-B1; CH19-B2; CH19-B3; CH19-U1; CH19-U3; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; Cherskiy, Russia; Cherskiy 2019; DEPTH, soil; Event label; herbivory; Nitrogen, total; PeCHEc; PERM; RU-Land_2019_Cherskiy; Sample ID; Sampling permafrost; sediment; Siberian permafrost; terrestrial carbon; Thermo Scientific Flash 2000-Delta V Plus IRMS; U1; U3; δ13C, total organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 400 data points
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  • 57
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    Biochemical analysis (moisture and ash content, total nitrogen, total lipid, fatty acids) of unsorted mesopelagic catch from in the Northeast Atlantic (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: During three cruises in the Mid Atlantic Ridge area in 2016 and 2017, we collected samples of mesopelagic species down to a depth of 600 m and analysed the chemical composition of the catch samples. We present gross proximate composition (g /100 g fresh weight) and fatty acid composition (% of total fatty acids) in mesopelagic raw material samples (values are mean ± standard deviation of 2–4 samples).
    Keywords: all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids, standard deviation; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids, standard deviation; Ash; Ash, standard deviation; Birkeland; Birkeland_Cruise_1; Birkeland_Cruise_1-H01; Birkeland_Cruise_1-H02; Birkeland_Cruise_1-H03; Birkeland_Cruise_1-H04; Birkeland_Cruise_1-H05; Birkeland_Cruise_1-H06; Birkeland_Cruise_1-H07; Birkeland_Cruise_1-H08; Birkeland_Cruise_1-H09; Birkeland_Cruise_1-H10; Birkeland_Cruise_2; Birkeland_Cruise_2-H01; Birkeland_Cruise_2-H03; Birkeland_Cruise_2-H04; Birkeland_Cruise_2-H05; Birkeland_Cruise_3; Birkeland_Cruise_3-H01; Birkeland_Cruise_3-H02; Birkeland_Cruise_3-H03; Birkeland_Cruise_3-H04; Birkeland_Cruise_3-H05; Birkeland_Cruise_3-H06; Birkeland_Cruise_3-H07; Birkeland_Cruise_3-H08; Calculated; Event label; Extraction of Lipids after Bligh & Dyer (1959); Gas-liquid chromatography; Gravimetric analysis (oven-dried at 105°C); Lipids; Lipids, standard deviation; Midwater trawl; Moisture; Moisture, standard deviation; Monounsaturated fatty acids of total fatty acids; Monounsaturated fatty acids of total fatty acids, standard deviation; MWT; Northeast Atlantic; Polyunsaturated fatty acids, standard deviation; Polyunsaturated fatty acids of total fatty acids; Polyunsaturated fatty acids of total fatty acids, n-3; Polyunsaturated fatty acids of total fatty acids, n-3, standard deviation; Polyunsaturated fatty acids of total fatty acids, n-6; Polyunsaturated fatty acids of total fatty acids, n-6, standard deviation; Proteins; Proteins, standard deviation; Saturated fatty acids of total fatty acids; Saturated fatty acids of total fatty acids, standard deviation; SUMMER; Sustainable Management of Mesopelagic Resources
    Type: Dataset
    Format: text/tab-separated-values, 520 data points
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  • 58
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    XRF and biogeochemical characteristics of sediment core PG2201 from Lake Malaya Chabyda, Central Yakutia (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: Aluminium, area, total counts; Aluminium, calibrated elemental proportions; Aluminium, chi-square; Aluminium, standard deviation; AWI_Envi; AWI Arctic Land Expedition; Bismuth, area, total counts; Bismuth, chi-square; Bismuth, proportion; Bismuth, standard deviation; Bromine, area, total counts; Bromine, chi-square; Bromine, proportion; Bromine, standard deviation; Calcium, area, total counts; Calcium, chi-square; Calcium, proportion; Calcium, standard deviation; Calcium/Titanium ratio; Carbon; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Chloride, area, total counts; Chlorine, chi-square; Chlorine, proportion; Chlorine, standard deviation; Chromium, area, total counts; Chromium, chi-square; Chromium, proportion; Chromium, standard deviation; COMPCORE; Composite Core; Copper, area, total counts; Copper, chi-square; Copper, proportion; Copper, standard deviation; Density; Density, dry bulk; DEPTH, sediment/rock; Elemental analyzer, Vario SoilTOC cube; File name; Gallium, area, total counts; Gallium, chi-square; Gallium, proportion; Gallium, standard deviation; Holocene; Iron, area, total counts; Iron, chi-square; Iron, proportion; Iron, standard deviation; Iron/Calcium ratio; Iron/Manganese ratio; Iron/Titanium ratio; Lake Malaya Chabyda, Yakutia, Russia; Lake sediment core; Late Pleistocene; Lead, area, total counts; Lead, chi-square; Lead, proportion; Lead, standard deviation; Manganese, area, total counts; Manganese, chi-square; Manganese, proportion; Manganese, standard deviation; Manganese/Iron ratio; Manganese/Titanium ratio; Mass; Mass spectrometer ThermoFisher Delta V Advantage; Molybdenum, area, total counts; Molybdenum, chi-square; Molybdenum, proportion; Molybdenum, standard deviation; Niobium, area, total counts; Niobium, chi-square; Niobium, proportion; Niobium, standard deviation; Nitrogen, total; organic carbon; Paleolimnology; PG2201_site; Phosphorus, area, total counts; Phosphorus, chi-square; Phosphorus, proportion; Phosphorus, standard deviation; Polar Terrestrial Environmental Systems @ AWI; Porosity, fractional; Potassium, area, total counts; Potassium, chi-square; Potassium, proportion; Potassium, standard deviation; Rhenium, area, total counts; Rhenium, chi-square; Rhenium, proportion; Rhenium, standard deviation; Rubidium, area, total counts; Rubidium, chi-square; Rubidium, standard deviation; RU-Land_2013_Yakutia; Sample code/label; Sample mass; Sample volume; Siberian permafrost; Silicon, area, total counts; Silicon, chi-square; Silicon, proportion; Silicon, standard deviation; Silicon/Titanium ratio; stable carbon isotopes δ13C; Strontium, area, total counts; Strontium, chi-square; Strontium, proportion; Strontium, standard deviation; Sulfur, area, total counts; Sulfur, chi-square; Sulfur, proportion; Sulfur, standard deviation; Titanium, area, total counts; Titanium, chi-square; Titanium, proportion; Titanium, standard deviation; Water content, wet mass; X-ray fluorescence (XRF); X-ray fluorescence core scanner (XRF), Avaatech; Yakutia2013; Yttrium, area, total counts; Yttrium, chi-square; Yttrium, proportion; Yttrium, standard deviation; Zinc, area, total counts; Zinc, chi-square; Zinc, proportion; Zinc, standard deviation; Zirconium, area, total counts; Zirconium, chi-square; Zirconium, standard deviation; Zirconium/Rubidium ratio; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 68144 data points
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  • 59
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    Continuous wave and tide observations at station BEFmate_seafloor2 (2020-05) (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 60
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    Continuous wave and tide observations at station BEFmate_seafloor2 (2020-08) (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 49104 data points
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  • 61
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    Continuous wave and tide observations at station BEFmate_seafloor2 (2020-11) (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 47146 data points
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  • 62
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    Basic measurements of radiation at station Lindenberg (2022-08) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; Germany; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; LIN; Lindenberg; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 170558, WRMC No. 12028; Pyranometer, Kipp & Zonen, CMP22, SN 180606, WRMC No. 12025; Pyrgeometer, Kipp & Zonen, CGR4, SN 170262, WRMC No. 12026; Pyrheliometer, Kipp & Zonen, CH1, SN 990220, WRMC No. 12012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847092 data points
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  • 63
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    Continuous wave and tide observations (2021) at DynaCom artificial islands in the back-barrier tidal flat, Spiekeroog, Germany, 2021-01 to 2021-10 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Data presented here were collected between January 2021 to October 2021 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Local tide and wave conditions were recorded with a RBRduo TDǀwave sensor (RBR Ltd., Ontario/Canada). The sensor was bottom mounted in a shallow tidal creek (0.78 m NHN) through a steel girder (buried 0.3m deep in the sediment) and was positioned 10 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. For accurate depth calculations, raw pressure data were manually corrected for atmospheric pressure derived from a locally installed weather station. The sensor was pre-calibrated by the manufacturer and the sampling rate was 3 Hz with 1024 samples per burst at a sample interval of 10 min. Recorded data were internally logged until the readout with the Ruskin (V1.13.13) software. Date and time is given in UTC. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, and (c) visually checks. Low-tide data is not removed, but were easily identified through the manually calculated water depth data, where all depths 〈 0.05m represented low tide data.
    Keywords: BEFmate; biodiversity - ecosystem functioning; DynaCom; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; salt marsh; Spiekeroog; water level; wave
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 64
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    Moisture and density of sediment cores from Meteor cruise M149, 2018 (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: Calculated from mass/volume; Center for Marine Environmental Sciences; density; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Event label; Gas pycnometer, Pentapyc 5200e; GC; GeoB23003-1; GeoB23004-1; GeoB23005-1; GeoB23006-1; GeoB23007-1; GeoB23008-1; GeoB23009-1; GeoB23010-1; GeoB23011-1; GeoB23012-1; GeoB23013-1; GeoB23022-2; GeoB23024-3; GeoB23024-4; GeoB23025-2; GeoB23027-1; GeoB23028-1; GeoB23030-1; GeoB23031-1; GeoB23032-1; GeoB23034-1; GeoB23036-1; GeoB23037-1; GeoB23038-1; GeoB23039-1; GeoB23040-1; GeoB23041-2; GeoB23043-1; GeoB23043-2; GeoB23044-1; GeoB23045-1; GeoB23047-1; GeoB23047-2; GeoB23047-3; GeoB23049-1; GeoB23052-1; GeoB23053-1; GeoB23054-1; GeoB23056-1; GeoB23057-1; GeoB23060-1; GeoB23062-1; GeoB23063-1; GeoB23064-1; GeoB23066-1; GeoB23067-1; GeoB23069-1; GeoB23071-1; GeoB23073-1; GeoB23076-1; GeoB23077-1; GeoB23078-3; GeoB23079-1; GeoB23080-1; GeoB23081-1; GeoB23082-1; GeoB23083-1; GeoB23084-1; GeoB23085-1; GeoB23086-2; GeoB23087-1; GeoB23088-1; GeoB23089-1; GeoB23091-1; GeoB23092-1; GeoB23093-1; GeoB23094-1; GeoB23095-1; GeoB23097-1; Gravity corer; M149; M149_10; M149_100; M149_102-2; M149_103; M149_104; M149_105; M149_109; M149_11; M149_111; M149_112; M149_113; M149_114; M149_117; M149_12; M149_13; M149_3; M149_34; M149_35; M149_36; M149_37; M149_39; M149_4; M149_40; M149_41; M149_43; M149_44; M149_46; M149_47; M149_48; M149_49; M149_5; M149_50; M149_51-2; M149_53; M149_55-1; M149_55-2; M149_56; M149_57; M149_59-2; M149_6; M149_60; M149_62; M149_65; M149_66; M149_67; M149_68; M149_7; M149_70; M149_71; M149_75; M149_77; M149_78; M149_79; M149_8; M149_81; M149_82; M149_84; M149_86-2; M149_88; M149_9; M149_90; M149_91; M149_93-3; M149_94; M149_95; M149_96; M149_97; M149_98; M149_99; MARUM; MeBo; MeBo (Meeresboden-Bohrgerät); Meteor (1986); Method/Device of event; moisture; Optional event label; Porosity; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1388 data points
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  • 65
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    Moisture and density (MAD) measured on IODP 381-M0078B (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: 381-M0078B; Calculated from mass/volume; COR-02B; Core; CORE; Density, dry bulk; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Exp381; Fugro Synergy; Gulf of Corinth; Integrated Ocean Drilling Program / International Ocean Discovery Program; International Generic Sample Number; IODP; Porosity; Sample code/label; Void ratio; Water content, dry mass; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 333 data points
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  • 66
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    Moisture and density (MAD) measured on IODP 381-M0078A (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: 381-M0078A; Calculated from mass/volume; Comment; COR-02A; Core; CORE; Density, dry bulk; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Exp381; Fugro Synergy; Gulf of Corinth; Integrated Ocean Drilling Program / International Ocean Discovery Program; International Generic Sample Number; IODP; Porosity; Sample code/label; Void ratio; Water content, dry mass; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3805 data points
    Location Call Number Expected Availability
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  • 67
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    Moisture and density (MAD) measured on IODP 381-M0079A (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: 381-M0079A; Calculated from mass/volume; Comment; COR-01A; Core; CORE; Density, dry bulk; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Exp381; Fugro Synergy; Gulf of Corinth; Integrated Ocean Drilling Program / International Ocean Discovery Program; International Generic Sample Number; IODP; Porosity; Sample code/label; Void ratio; Water content, dry mass; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 4187 data points
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  • 68
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    Moisture and density (MAD) measured on IODP 381-M0080A (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: 381-M0080A; Calculated from mass/volume; Comment; COR-04A; Core; CORE; Density, dry bulk; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Exp381; Fugro Synergy; Gulf of Corinth; Integrated Ocean Drilling Program / International Ocean Discovery Program; International Generic Sample Number; IODP; Porosity; Sample code/label; Void ratio; Water content, dry mass; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3002 data points
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  • 69
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    Seawater carbonate chemistry and photo-physiological fitness, growth and carbon production of the Antarctic cryptophyte Geminigera cryophila (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Ecophysiological studies on Antarctic cryptophytes to assess whether climatic changes such as ocean acidification and enhanced stratification affect their growth in Antarctic coastal waters in the future are lacking so far. This is the first study that investigates the combined effects of the increasing availability of pCO2 (400 and 1000 μatm) and irradiance (20, 200 and 500 μmol photons m-2 s-1) on growth, elemental composition and photo-physiology of the Antarctic cryptophyte Geminigera cryophila. Under ambient pCO2, this species was characterized by a pronounced sensitivity to increasing irradiance with complete growth inhibition at the highest light intensity. Interestingly, when grown under high pCO2 this negative light effect vanished, and it reached the highest rates of growth and particulate organic carbon production at the highest irradiance compared to the other tested experimental conditions. Our results for G. cryophila reveal beneficial effects of ocean acidification in conjunction with enhanced irradiance on growth and photosynthesis. Hence, cryptophytes such as G. cryophila may be potential winners of climate change, potentially thriving better in more stratified and acidic coastal waters and contributing in higher abundance to future phytoplankton assemblages of coastal Antarctic waters.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Connectivity between photosystem II; Connectivity between photosystem II, standard deviation; Cryptophyta; Electron transport rate, absolute; Electron transport rate, absolute, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Functional absorption cross sections of photosystem II reaction centers; Functional absorption cross sections of photosystem II reaction centers, standard deviation; Functional photosystem II reaction centers, per cell; Functional photosystem II reaction centers, standard deviation; Geminigera cryophila; Growth/Morphology; Growth rate; Growth rate, standard deviation; Irradiance; Laboratory experiment; Laboratory strains; Light; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Nitrogen, organic, particulate, per cell; Nitrogen, organic, particulate, per cell, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Not applicable; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, production, standard deviation; Particulate organic carbon production per cell; Particulate organic nitrogen production, standard deviation; Pelagos; pH; pH, standard deviation; Phytoplankton; Primary production/Photosynthesis; Production of particulate organic nitrogen; Recovery; Recovery, standard deviation; Registration number of species; Re-oxidation time of the Qa acceptor; Re-oxidation time of the Qa acceptor, standard deviation; Salinity; Single species; Species; Temperature, water; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 2200 data points
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  • 70
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    A multidisciplinary experimental study on the effects of breeders diet on newborn seahorses (Hippocampus guttulatus) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: The global trade in seahorses is increasing and new rearing techniques are currently available for a few species. One of the main bottlenecks in seahorse production is reproduction success, which is dependent upon the administration of high quality diets to breeders. However, very little is known about the most adequate diets, on how they should be administered and on how they might affect newborn performance. In this study, three homogeneous groups of adult seahorses Hippocampus guttulatus were maintained in captivity. Each group was fed on one of the following diets since the onset of the breeding period: Unenriched adult Artemia (Diet A), unenriched adult Artemia and mysidaceans (Diet AM) and mysidaceans (Diet M). As a positive control we used a wild pregnant male. The mixed diet AM provided the highest overall breeding success and reasonable fatty acid profiles, and better resembled newborn from a wild male. The use of only mysidaceans (Diet M) provided the worse results in spite of the high DHA content. Significant differences were observed in newborn characteristics and fatty acid profiles among dietary groups and along the breeding season, especially in total n-3 HUFA and DHA. Monospecific diets including Artemia or mysidaceans very likely suffered nutritional deficiencies, which were reflected in morphological alterations of the muscle tissue (diet A) or abnormal early mortalities in newborn (diet M). Three progressive stages were identified along the whole breeding period: Initial mixed capital-income period (100 - 120 days since the onset of the breeding period), followed by an inflexion period (short transitional stage - income sources), and finally a long period characterized by the use of income sources and the progressive exhaustion of body reserves. Special attention should be deserved to the progressive changes in fatty acid profiles along the breeding season, resulting in a decrease in newborn performance. Considering the time required for a diet to be reflected in newborn, we recommend Hippocampus guttulatus breeders to be fed on a high quality diet for at least three months prior the breeding period.
    Keywords: 4,7,10,13,16-Docosapentaenoic acid; all-cis-11,14-Eicosadienoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids; all-cis-9,12-Octadecadienoic acid of total fatty acids; breeding; cis-11-Icosenoic acid of total fatty acids; cis-11-Octadecenoic acid of total fatty acids (IUPAC: Octadec-11-enoic acid); cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); cis-9-Octadecenoic acid of total fatty acids (IUPAC: Octadec-9-enoic acid); DATE/TIME; diet; Diet; Fatty acids; Heptadecanoic acid of total fatty acids; Heptadecenoic acid of total fatty acids; Hexadecanoic acid of total fatty acids; Hippocampus; Hippocampus guttulatus, batch size, newborn; Hippocampus guttulatus, biomass as carbon; Hippocampus guttulatus, biomass as nitrogen; Hippocampus guttulatus, breeding days; Hippocampus guttulatus, carbon/nitrogen ratio; Hippocampus guttulatus, dry mass; Hippocampus guttulatus, lipids per dry mass; Hippocampus guttulatus, lipids per newborn; Hippocampus guttulatus, standard length; Hippocampus guttulatus, survival; Hippocampus guttulatus, δ13C; Hippocampus guttulatus, δ15N; Icosanoic acid of total fatty acids; Monounsaturated fatty acids of total fatty acids; newborn; Octadecanoic acid of total fatty acids; Pentadecanoic acid of total fatty acids; Polyunsaturated fatty acids of total fatty acids; quality; Ratio; Sample ID; Saturated fatty acids of total fatty acids; seahorse; Syngnathidae; Tetracosanoic acid of total fatty acids; Tetradecanoic acid of total fatty acids
    Type: Dataset
    Format: text/tab-separated-values, 620 data points
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  • 71
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    Physical properties and stable isotope composition of rain, river, lake, and groundwater samples in the Canadian Arctic tundra and subarctic taiga (Summer 2018 and 2019) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: This data set describes surface water and late season snow melt physical and geochemical observations collected around the Greiner Lake Watershed (near Cambridge Bay, NU) over July 2018 and between April and June 2019, as well as several rain, river, lake, and groundwater samples collected opportunistically. Snow and surface water samples were collected as part of the project entitled "Development of a multi-scale cryosphere monitoring network for the Kitikmeot region and Northwest territories using in-situ measurements, modeling and remote sensing" led by Dr. Alex Langlois, Université de Sherbrooke. Snow density profiles were measured by extracting snow samples at 3 cm intervals using 192 cm3 and 100 cm3 density cutters. The samples were weighed using a Pesola light series scale (100 g) from which density was calculated. Snow temperature was determined using a digital temperature probe (+/- 0.1°C). Surface water and late season snow melt geochemical properties were also determined following the methods outlined in Levasseur et al., (submitted). Briefly, snow was collected into 1 L HDPE plastic snow containers using a clean plastic trowel. Snow samples were melted at room and/or fridge temperature, with melt progression checked at regular intervals. Once melted, samples were filtered through 0.22 μm Sterivex-GV filters into Wheaton 4 mL Amber Vials with TFE-Lined Caps for the analysis of stable isotope composition (δ18O-H2O and δ2H-H2O). Rain samples were collected using a funnel rain gauge at the Canadian High Arctic Research Station, whereas lake and pond samples were collected from surface waters at the shore or edge, respectively. Soil and pore water samples were collected by digging a hole, filling containers and pressing their contents through a filter with a pestle. All water samples were then processed identically to the snow melt samples. River water samples were also collected from Freshwater Creek (69.131°N, -104.991°E), which directly drains Greiner Lake. Surface water samples for the determination of stable water isotopes were collected according to methods developed by the Arctic Great Rivers Observatory (Arctic-GRO; http://www.arcticgreatrivers.org/) as described in detail by Brown et al., 2020. For samples collected in 2018, stable isotope analyses were conducted at the Environmental Chemistry Facility at Brown University (RI) using a Picarro L1102-i Isotopic Water Liquid Analyzer with a standard error of +/- 0.1 ‰ for δ18O-H2O and +/-1 ‰ for δ2H-H2O. For samples collected in 2019, stable isotope analyses were conducted at the University of Calgary using a Los Gatos Research Liquid Water Isotope Analyzer with a reported analytical precision of ± 0.2‰ for δ18O-H2O and ± 2‰ for δ2H-H2O.
    Keywords: after Brown et al., 2020; Bucket, plastic; Calculated from mass/volume; CAMBRIDGE_BAY052019; CAMBRIDGE_BAY052019/ICECORE_81; CAMBRIDGE_BAY052019/LAKEWATER_46; CAMBRIDGE_BAY052019/LANDPOND1; CAMBRIDGE_BAY052019/LANDPOND10; CAMBRIDGE_BAY052019/LANDPOND10_57; CAMBRIDGE_BAY052019/LANDPOND11; CAMBRIDGE_BAY052019/LANDPOND11_76; CAMBRIDGE_BAY052019/LANDPOND12; CAMBRIDGE_BAY052019/LANDPOND12_54; CAMBRIDGE_BAY052019/LANDPOND2; CAMBRIDGE_BAY052019/LANDPOND3; CAMBRIDGE_BAY052019/LANDPOND4; CAMBRIDGE_BAY052019/LANDPOND4_48; CAMBRIDGE_BAY052019/LANDPOND5; CAMBRIDGE_BAY052019/LANDPOND6; CAMBRIDGE_BAY052019/LANDPOND6_68; CAMBRIDGE_BAY052019/LANDPOND7; CAMBRIDGE_BAY052019/LANDPOND7_9; CAMBRIDGE_BAY052019/LANDPOND8; CAMBRIDGE_BAY052019/LANDPOND9; CAMBRIDGE_BAY052019/LANDPOND9_11; CAMBRIDGE_BAY052019/PONDLAKE1; CAMBRIDGE_BAY052019/SW1_Stream_water; CAMBRIDGE_BAY072018; CAMBRIDGE_BAY072018/G1; CAMBRIDGE_BAY072018/G2; CAMBRIDGE_BAY072018/RAIN1; CAMBRIDGE_BAY072018/RAIN4; CAMBRIDGE_BAY072018/SNOW1_30; CAMBRIDGE_BAY072018/SNOW2_49; CAMBRIDGE_BAY072018/SO1; CAMBRIDGE_BAY072018/SO2; CAMBRIDGE_BAY072018/STWSNO; CAMBRIDGE_BAY072018/SU1; CAMBRIDGE_BAY072018/SW1; CAMBRIDGE_BAY072018/SW2; CAMBRIDGE_BAY072018/SW3; Cambridge Bay, Nunavut, Canada; Campaign of event; Canadian Arctic; Comment; Date/Time of event; Density, snow; Depth, bottom/max; DEPTH, ice/snow; DEPTH, sediment/rock; Depth, top/min; DEPTH, water; Depth comment; Development of a multi-scale cryosphere monitoring network for the Kitikmeot region and Northwest territories using in-situ measurements, modeling and remote sensing; Elevation of event; Event label; Isotopic liquid water analyzer; Latitude of event; Longitude of event; Rain gauge; Sample code/label; Sample comment; Sample type; SnowMonitoring_NWT&Kitikmeot; snow physical properties; Soil type; stable isotopes of water; Temperature, air; Temperature, soil; Temperature, water; Visual observation; WB; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 239 data points
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  • 72
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    Biogeochemical parameters in sediment cores from MSM 16/1 August 2010 Baltic Gas (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: The samples presented here were collected with the intent to understand methane cycling in the sediments of the Baltic Sea as part of the BALTIC GAS project funded by the European Community's Seventh Framework Programme (FP/2007-2013) under grant agreement n° 217246 made with the joint Baltic Sea Research and Development programme BONUS. Sediment cores from the Baltic Sea were collected and serve as events in this archive. The events took place in Mecklenburg Bay, Arkona Basin, Bornholm Basin, Gotland Basin, Bothnian Sea, and Bothnian Bay. Ninety events took place between July 31- August 15, 2010 aboard RV Maria S. Merian cruise MSM16/1. From the sediment cores, porewater was extracted and analyzed for sulfate, chloride, ammonium, major ions (barium, calcium, potassium, magnesium, sodium), hydrogen sulfide, and dissolved inorganic carbon concentrations. Dissolved inorganic carbon was also measured for stable carbon isotope ratios. Sediment plugs were collected for measuring concentrations and stable carbon isotope ratios of methane. Sulfate reduction rates were also measured on sediment cores. Bulk sediment was then analyzed for total organic carbon and nitrogen content, along with stable carbon and nitrogen ratios on total organic matter. Sediments were also measured for wet bulk density and water content of wet mass, from which porosity was calculated.
    Keywords: 03-2RL; 03-3RL; 09-3RL; 09-5GC; 101-2RL; 101-3RL; 102-1RL; 102-2RL; 10-2RL; 103-1RL; 103-2RL; 10-3RL; 10-5GC; 11-2RL; 11-3RL; 11-5GC; 12-3RL; 12-5GC; 24-2RL; 24-3RL; 24-7GC; 24-GC; 24-RL; 25-2RL; 25-3RL; 25-4GC; 25-GC; 25-RL; 31-3RL; 32-2RL; 32-3RL; 32-5GC; 35S incubations; 45-10GC; 45-4RL; 45-7RL; 45-RL; 49-2RL; 49-3RL; 50-2RL; 50-3RL; 51-2RL; 52-2RL; 52-7GC; 53-2RL; 53-3RL; 54-2RL; 54-3RL; 56-2RL; 56-7GC; 57-2RL; 57-3RL; 57-5GC; 58-2RL; 58-3RL; 71-3RL; 71-6GC; 73-12GC; 73-14GC; 73-3RL; 73-4RL; 73-RL; 78-4RL; 78-5RL; 81-3RL; 81-4RL; 82-3RL; 82-4RL; 83-4RL; 83-5RL; 85-4RL; 85-5RL; 85-6GC; 85-RL; 86-3FL; 86-4RL; 86-6GC; 86-7GC; 87-3RL; 87-4RL; 87-6GC; 91-3RL; 91-4RL; 91-6GC; 92-3RL; 92-4RL; 93-2RL; 93-3RL; 93-8GC; 93-RL; 94-3RL; 94-4RL; ammonium; Ammonium; BALTIC-GAS; Baltic Sea; Calcium; Calculated from mass/volume; Carbon, inorganic, dissolved; Carbon, organic, total; chloride; Chloride; Density, wet bulk; DEPTH, sediment/rock; Dissolved inorganic carbon; Element analyser isotope ratio mass spectrometer (EA-IRMS); Event label; Flow injection analysis; Gas chromatography; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); GC; Gravity corer; Hydrogen sulfide; ICP, Inductively coupled plasma; Ion chromatography; Magnesium; major ions; Maria S. Merian; Methane; Methane, porewater; Methane emission in the Baltic Sea; MSM16/1_03-2RL; MSM16/1_03-3RL; MSM16/1_09-3RL; MSM16/1_09-5GC; MSM16/1_101-2RL; MSM16/1_101-3RL; MSM16/1_102-1RL; MSM16/1_102-2RL; MSM16/1_10-2RL; MSM16/1_103-1RL; MSM16/1_103-2RL; MSM16/1_10-3RL; MSM16/1_10-5GC; MSM16/1_11-2RL; MSM16/1_11-3RL; MSM16/1_11-5GC; MSM16/1_12-3RL; MSM16/1_12-5GC; MSM16/1_24-2RL; MSM16/1_24-3RL; MSM16/1_24-7GC; MSM16/1_24-GC; MSM16/1_24-RL; MSM16/1_25-2RL; MSM16/1_25-3RL; MSM16/1_25-4GC; MSM16/1_25-GC; MSM16/1_25-RL; MSM16/1_31-3RL; MSM16/1_32-2RL; MSM16/1_32-3RL; MSM16/1_32-5GC; MSM16/1_45-10GC; MSM16/1_45-4RL; MSM16/1_45-7RL; MSM16/1_45-RL; MSM16/1_49-2RL; MSM16/1_49-3RL; MSM16/1_50-2RL; MSM16/1_50-3RL; MSM16/1_51-2RL; MSM16/1_52-2RL; MSM16/1_52-7GC; MSM16/1_53-2RL; MSM16/1_53-3RL; MSM16/1_54-2RL; MSM16/1_54-3RL; MSM16/1_56-2RL; MSM16/1_56-7GC; MSM16/1_57-2RL; MSM16/1_57-3RL; MSM16/1_57-5GC; MSM16/1_58-2RL; MSM16/1_58-3RL; MSM16/1_71-3RL; MSM16/1_71-6GC; MSM16/1_73-12GC; MSM16/1_73-14GC; MSM16/1_73-3RL; MSM16/1_73-4RL; MSM16/1_73-RL; MSM16/1_78-4RL; MSM16/1_78-5RL; MSM16/1_81-3RL; MSM16/1_81-4RL; MSM16/1_82-3RL; MSM16/1_82-4RL; MSM16/1_83-4RL; MSM16/1_83-5RL; MSM16/1_85-4RL; MSM16/1_85-5RL; MSM16/1_85-6GC; MSM16/1_85-RL; MSM16/1_86-3FL; MSM16/1_86-4RL; MSM16/1_86-6GC; MSM16/1_86-7GC; MSM16/1_87-3RL; MSM16/1_87-4RL; MSM16/1_87-6GC; MSM16/1_91-3RL; MSM16/1_91-4RL; MSM16/1_91-6GC; MSM16/1_92-3RL; MSM16/1_92-4RL; MSM16/1_93-2RL; MSM16/1_93-3RL; MSM16/1_93-8GC; MSM16/1_93-RL; MSM16/1_94-3RL; MSM16/1_94-4RL; MSM16/1a; MSM16/1b; Nitrogen, organic, total; Photometer, methylene blue (Cline 1969); porosity; Porosity; Potassium; RUMC; Rumohr corer; Sodium; stable carbon isotopic composition of methane; Stable Carbon Isotopic Composition of Organic Matter; sulfate; Sulfate; sulfate reduction rate; Sulfate reduction rate; Sulfide; Water content, wet mass; water content wet mass; wet bulk density; δ13C, dissolved inorganic carbon; δ13C, methane; δ13C, total organic carbon; δ15N, total organic nitrogen
    Type: Dataset
    Format: text/tab-separated-values, 4932 data points
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  • 73
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    Physical properties and stable isotope composition of snow in the Canadian Arctic tundra and subarctic taiga (Spring-Summer 2018, 2019) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: This data set describes snow physical and geochemical observations collected in the Canadian Arctic between March 2018 and June 2019. Snow samples were collected as part of the project entitled "Development of a multi-scale cryosphere monitoring network for the Kitikmeot region and Northwest territories using in-situ measurements, modeling and remote sensing" led by Dr. Alex Langlois, Université de Sherbrooke. Sampling was carried out at two primary locations in the Canadian sub-Arctic and Arctic: Wekweètì (NWT), located just south of tree line, and Greiner Lake Watershed (NU), situated well into Arctic tundra on Victoria Island (near Cambridge Bay, NU). Data are also included from Herschel Island (NWT) and Trail Valley Creek (NWT). Sampling was conducted primarily from spring into summer, with snow samples collected in Wekweètì over the month of March 2018 and Cambridge Bay over the months of April and July 2018, and April to June 2019. Trail Valley Creek was visited in winter, January 2019, whereas Herschel Island samples were collected in April and May 2019. Snow physical properties were measured following the methods outlined in Levasseur et al., (submitted). Briefly, snowpits were excavated along transects to conduct observations of snow stratigraphy, density, temperature, grain size, and grain type following Langlois et al., (2009). Density profiles were measured by extracting snow samples at 3 cm intervals using 192 cm3 and 100 cm3 density cutters. The samples were weighed using a Pesola light series scale (100 g) from which density was calculated. Temperature profiles were also measured at 3 cm intervals using a digital temperature probe (+/- 0.1°C). Snow Water Equivalent was also determined for some layers after Langlois et al., (2009). Snow geochemical properties were also determined following the methods outlined in Levasseur et al., (submitted). Briefly, snow was collected into 1 L HDPE plastic snow containers using a clean plastic trowel. Snow samples were melted at room and/or fridge temperature, with melt progression checked at regular intervals. Once melted, samples were filtered through 0.22 μm Sterivex-GV filters into Wheaton 4 mL Amber Vials with TFE-Lined Caps for the analysis of stable isotope composition (δ18O-H2O and δ2H-H2O). For samples collected in 2018, stable isotope analyses were conducted at the Environmental Chemistry Facility at Brown University (RI) using a Picarro L1102-i Isotopic Water Liquid Analyzer with a standard error of +/- 0.1 ‰ for δ18O-H2O and +/-1 ‰ for δ2H-H2O. For samples collected in 2019, stable isotope analyses were conducted at the University of Calgary using a Los Gatos Research Liquid Water Isotope Analyzer with a reported analytical precision of ± 0.2‰ for δ18O-H2O and ± 2‰ for δ2H-H2O.
    Keywords: after Langlois etal., 2009; Calculated from mass/volume; CAMBRIDGE_BAY042018; CAMBRIDGE_BAY042018/MPSP3; CAMBRIDGE_BAY042018/SBR_SP3; CAMBRIDGE_BAY042018/SPISO1; CAMBRIDGE_BAY042018/SPISO2; CAMBRIDGE_BAY042018/SPM; CAMBRIDGE_BAY042018/SPSLP; CAMBRIDGE_BAY042018/SPSTRA2; CAMBRIDGE_BAY042018/T4SP1; CAMBRIDGE_BAY042018/T4SP10; CAMBRIDGE_BAY052019; CAMBRIDGE_BAY052019/CALAPIT1; CAMBRIDGE_BAY052019/CALAPIT2; CAMBRIDGE_BAY052019/FREESURF; CAMBRIDGE_BAY052019/FRESH; CAMBRIDGE_BAY052019/GT2SP14; CAMBRIDGE_BAY052019/GT2SP14_2; CAMBRIDGE_BAY052019/IMAPIT1; CAMBRIDGE_BAY052019/IMAPIT1_2; CAMBRIDGE_BAY052019/IMAPIT1_3; CAMBRIDGE_BAY052019/IMAPIT1_4; CAMBRIDGE_BAY052019/IMAPIT1_5; CAMBRIDGE_BAY052019/IMAPIT1_6; CAMBRIDGE_BAY052019/IMAPIT2_1; CAMBRIDGE_BAY052019/IMAPIT2_2; CAMBRIDGE_BAY052019/IMAPIT2_3; CAMBRIDGE_BAY052019/IMAPIT2_4; CAMBRIDGE_BAY052019/IMAPIT2_5; CAMBRIDGE_BAY052019/IMASP69; CAMBRIDGE_BAY052019/MELTSURF; CAMBRIDGE_BAY052019/SEMIDPIT_1; CAMBRIDGE_BAY052019/SEMIDPIT_2; CAMBRIDGE_BAY052019/SEMIDPIT_3; CAMBRIDGE_BAY052019/TRIPLEX; Cambridge Bay, Nunavut, Canada; Campaign of event; Canadian Arctic; Comment; DATE/TIME; Density, snow; Development of a multi-scale cryosphere monitoring network for the Kitikmeot region and Northwest territories using in-situ measurements, modeling and remote sensing; Event label; HDPE plastic snow container, 1 L; Height; Herschel Island, Northwest Territories, Canada; HERSHEL042019; HERSHEL042019/SP48; HERSHEL042019/SP54; HERSHEL042019/SP57; Isotopic liquid water analyzer; LATITUDE; Layer depth; LONGITUDE; Sample code/label; Sample ID; Sample type; snow; Snow depth; SnowMonitoring_NWT&Kitikmeot; snow physical properties; Snow water equivalent; stable isotopes of water; Temperature, ice/snow; Temperature probe; Thickness; TP; Trail Valley Creek , Northwest Territories, Canada; TVC012019; TVC012019/RC1; TVC012019/RC2; Wekweeti; Wekweètì, Northwest Territories, Canada; Wekweeti/SP1; Wekweeti/SP11; Wekweeti/SP19; Wekweeti/SP2; Wekweeti/SP20; Wekweeti/SP21; Wekweeti/SP24; Wekweeti/SP25; Wekweeti/SP3; Wekweeti/SP33; Wekweeti/SP4; Wekweeti/SP5; Wekweeti/SP8; Wekweeti/SP9; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 2057 data points
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  • 74
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    Seawater carbonate chemistry and photophysiology, growth, carbon production, and cellular pigment and trace metal quotas of the Antarctic phytoplankton Geminigera cryophila and Pseudo‐nitzschia subcurvata (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Alloxanthin; Alloxanthin, standard deviation; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll c2; Chlorophyll c2, standard deviation; Chromista; Cobalt/Carbon ratio; Cobalt/Carbon ratio, standard deviation; Connectivity between photosystem II; Connectivity between photosystem II, standard deviation; Copper/Carbon ratio; Copper/Carbon ratio, standard deviation; Cryptophyta; Diadinoxanthin; Diadinoxanthin, standard deviation; Electron transport rate, absolute; Electron transport rate, absolute, standard deviation; Elemental analyzer, HEKAtechGmbH, Euro EA; Fluorometer, fast repetition rate; FRRF; Fucoxanthin; Fucoxanthin, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Functional absorption cross sections of photosystem II reaction centers; Functional absorption cross sections of photosystem II reaction centers, standard deviation; Functional photosystem II reaction centers; Functional photosystem II reaction centers, standard deviation; Geminigera cryophila; Growth/Morphology; Growth rate, standard deviation; Inductively coupled plasma mass spectrometer (ICP-MS), Attom, Nu Instruments; Inorganic toxins; Iron, cellular quota; Iron, cellular quota, standard deviation; Iron/Carbon ratio; Iron/Carbon ratio, standard deviation; Irradiance; Laboratory experiment; Laboratory strains; Light microscopy (Utermöhl 1958); Light saturation point; Light saturation point, standard deviation; Light use efficiency; Light use efficiency, standard deviation; Manganese/Carbon ratio; Manganese/Carbon ratio, standard deviation; Maximal electron transport rate; Maximal electron transport rate, standard deviation; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, recovery; Maximum photochemical quantum yield of photosystem II, recovery, standard deviation; Maximum photochemical quantum yield of photosystem II, standard deviation; Nitrogen, organic, particulate; Non photochemical quenching; Non photochemical quenching, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, production, standard deviation; Particulate organic nitrogen production, standard deviation; Pelagos; pH; pH, standard deviation; Phosphate; Phytoplankton; Phytoplankton growth rate; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Production of particulate organic carbon; Pseudo-nitzschia subcurvata; Reverse phase HPLC (High Performance Liquid Chromatography); Salinity; Silicate; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Treatment: dissolved iron; Treatment: partial pressure of carbon dioxide; Type; Zinc/Carbon ratio; Zinc/Carbon ratio, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 8948 data points
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  • 75
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    Total organic carbon (TOC) content and dry bulk density (DBD) of gravity core MSM45_19-2 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Total Organic Carbon (TOC) concentrations were measured as indicator for past primary productivity on gravity core MSM45_19-2 from the northern Labrador Shelf. Gravity core MSM45_19-2 was obtained during R/V Maria S. Merian expedition MSM45 (58°45.68'N, 61°56.25'W, water depth: 202 m) in 2015 (Schneider et al., 2016). Dry Bulk Density (DBD) was calculated based on sample volume and water content and later used to calculate Marine Accumulation Rates (MAR). The total organic carbon (TOC) content was analyzed (using ELTRA, CS-800) on freeze-dried and homogenized sediment samples, after the removal of carbonates by hydrochloric acid (37%, 500 μl).
    Keywords: 8.2 ka event; Accumulation rate, total organic carbon per year; Accumulation rate per year; Calculated from mass/volume; Carbon, organic, total; Density, dry bulk; DEPTH, sediment/rock; dry bulk density; Element analyser, ELTRA CS-800; GC; Gravity corer; Holocene; Labrador Sea; Labrador Shelf; Maria S. Merian; MSM45; MSM45_418-2; MSM45-19-2; TOC; Total Organic Carbon
    Type: Dataset
    Format: text/tab-separated-values, 1027 data points
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  • 76
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    Passive acoustic monitoring data recorded by recorder SV1088 at mooring F5-17 in Fram Strait in 2016/2017 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1088 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 79° 00.02' N, 005° 40.12' E, mooring F5-17, in Fram Strait. During a deployment period from July 2016 to September 2018, passive acoustic data were collected from July 2016 to July 2017 (recording period) by SV1088 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 808 m depth and scheduled to record continuously at a sample rate of 48,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXX/2, GN05; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F5-17; FRAM; FRontiers in Arctic marine Monitoring; Maria S. Merian; MOOR; Mooring; Mooring (long time); MOORY; MSM76; MSM76_198-1; North Atlantic; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH, and automated signal detection by spectrogram cross-correlation; Polarstern; PS100; PS100/019-1; PS100/019-1, MSM76_198-1
    Type: Dataset
    Format: text/tab-separated-values, 361 data points
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  • 77
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    Passive acoustic monitoring data recorded by recorder SV1009 at mooring AWI208-8 in the Weddell Sea, Southern Ocean, in 2017/2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1009 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 65°41.79' S, 36°41.012' W, mooring AWI208-8, in Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from January 2017 to January 2019, passive acoustic data were collected from January 2017 to May 2018 (recording period) by SV1009 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 1032 m depth and scheduled to record continuously at a sample rate of 6,857 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Further information on terminology, data processing, preparation and standardization can be found in the associated Standard Operating Procedure (SOP) Glossary (Thomisch et al. 2023a) and SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ANT-XXXII/2; Audio file; Audio file (File Size); AWI208-8; DATE/TIME; DEPTH, water; HAFOS; Hybrid Antarctic Float Observation System; MOOR; Mooring; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS103; PS103_40-2; PS117; PS117_56-4; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 469 data points
    Location Call Number Expected Availability
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  • 78
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    Master track of SONNE cruise SO296/1 in 1 sec resolution (zipped, 13.5 MB) (2023)
    PANGAEA
    In:  Leibniz Institute for Baltic Sea Research, Warnemünde
    Details
    Publication Date: 2024-05-15
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO296_1 were processed to receive a validated master track which can be used as reference of further expedition data. During SO296_1 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: 1 sec resolution; CT; DAM_Underway; DAM Underway Research Data; MAPUCHE; SO296/1; SO296/1-track; Sonne_2; Underway cruise track measurements
    Type: Dataset
    Format: application/zip, 13.5 MBytes
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  • 79
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    Master tracks in different resolutions of SONNE cruise SO296/1, Ensenada - Talcahuano, 2022-12-26 - 2023-01-18 (2023)
    PANGAEA
    In:  Leibniz Institute for Baltic Sea Research, Warnemünde
    Details
    Publication Date: 2024-05-15
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO296_1 were processed to receive a validated master track which can be used as reference of further expedition data. During SO296_1 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; MAPUCHE; SO296/1; SO296/1-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 6514 data points
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  • 80
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    Passive acoustic monitoring data recorded by the Perennial Acoustic Observatory in the Antarctic Ocean (PALAOA), Antarctica, in 2022 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Passive acoustic monitoring (PAM) data were collected by the Perennial Acoustic Observatory in the Antarctic Ocean (PALAOA) near Neumayer Station III at 70.5028° S, 8.2057° W, on the Ekström ice shelf, Antarctica. This long-term observatory was set up in 2005 (Kindermann et al. 2007, hdl:10013/epic.30936.d001). After modifications of the hardware setup in December 2014, PALAOA collected passive acoustic data using a Sono.Vault recorder (manufactured by develogic GmbH, Hamburg, Germany). From 01 January 2022 to 27 February 2022, PALAOA recorded continuously at a sample rate of 96 kHz, at 155 m depth. Recording ended due to the breakoff of part of the ice shelf in February 2022, which damaged the recording hardware (see also Report on Expedition PS129, https://doi.org/10.57738/BzPM_0776_2023). Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operating Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b). We thankfully acknowledge the support of the Neumayer Station overwintering teams, and in particular of the radio operators, in maintaining and operating PALAOA.
    Keywords: Antarctic coast; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; Dronning Maud Land, Antarctica; MOOR; Mooring; NM3_PALAOA; OBSE; Observation; PALAOA; Passive acoustic recorder Sono.Vault, develogic GmbH; PerenniAL Acoustic Observatory in the Antarctic Oc
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
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  • 81
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    Ozone measurements from station Lindenberg (2022-07) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 31 data points
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  • 82
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    Seawater carbonate chemistry and growth and carbon fixation of Antarctic cryptophyte (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: We conducted a multiple-stressor experiment to evaluate the response of the still poorly studied key Antarctic cryptophyte species Geminigera cryophila (CCMP 2564, isolated from the Southern Ocean and obtained from Matt Johnson's Laboratory of Protistan Ecology at the Woods Hole Oceanography Institute, United States) to warming in combination with ocean acidification and high irradiance. Based on the thermal growth response of G. cryophila, we grew the cryptophyte at suboptimal (2°C) and optimal (4°C) temperatures in combination with two light intensities (medium light: 100 μmol photons/m**2/s and high light [HL]: 500 μmol photons/m**2/s) under ambient (400 μatm pCO2) and high pCO2 (1000 μatm pCO2) conditions.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon nitrogen elemental analyzer, EURO EA-CN Elemental Analyzer, HEKAtech GmbH; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chlorophyll c2, standard deviation; Chlorophyll c2 per cell; Chromista; Cryptophyta; Electron transport rate, absolute; Electron transport rate, absolute, standard deviation; Fast Repetition Rate fluorometer (FRRF), FastOcean PTX; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Functional photosystem II reaction centers, per cell; Functional photosystem II reaction centers, standard deviation; Geminigera cryophila; Growth/Morphology; Growth rate; Growth rate, standard deviation; Irradiance; Laboratory experiment; Laboratory strains; Light; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, production, standard deviation; Particulate organic carbon production per cell; Pelagos; pH; pH, standard deviation; Phosphate; Phytoplankton; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Re-oxidation time of the Qa acceptor; Re-oxidation time of the Qa acceptor, standard deviation; Reverse phase high performance liquid chromatography (HPLC), VWR-Hitachi International GmbH; Salinity; Silicate; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature; Temperature, water; Time in weeks; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 3288 data points
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  • 83
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    Multibeam bathymetry raw data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS138 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Multibeam data were collected with RV Polarstern along the route of cruise PS138 and data acquisition was continuously monitored during the survey. Multibeam sonar system was Teledyne/Atlas Hydrosweep DS3. SVPs were retrieved from CTD data from other working groups on board. SVPs were processed with HydrOffice SoundSpeedManager (https://www.hydroffice.org/soundspeed/main) and extended with World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18). SVP data were applied during acquisition. Multibeam data are unprocessed and may contain outliers and blunders and should not be used for grid calculations and charting projects without further editing. The raw multibeam sonar data in Teledyne/Atlas multibeam processing format (.asd) were recorded with Teledyne/Atlas Parastore software as well as Teledyne Reson format (.s7k) in Teledyne PDS. Raw data files can be processed using software packages like CARIS HIPS/SIPS. For updated vessel configuration files check further details.
    Keywords: ArcWatch-1; Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; Data file recording distance; Data file recording duration; DATE/TIME; DS3; ELEVATION; Event label; Extracted with MB-System; File content; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Polarstern; PS138; PS138_0_Underway-28; PS138_115-1; PS138_145-1; PS138_168-1; PS138_172-1; PS138_174-1; PS138_19-1; PS138_193-1; PS138_195-1; PS138_196-1; PS138_201-1; PS138_207-1; PS138_2-1; PS138_218-1; PS138_22-1; PS138_26-1; PS138_40-1; PS138_69-1; PS138_90-1; Ship speed; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Atlas Hydrosweep DS-3
    Type: Dataset
    Format: text/tab-separated-values, 26459 data points
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  • 84
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    Expanded measurements from station Lindenberg (2022-07) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Baseline Surface Radiation Network; BSRN; Cloud base height; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: text/tab-separated-values, 3013 data points
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  • 85
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    Meteorological synoptical observations from station Lindenberg (2022-07) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Germany; HYGRO; Hygrometer; LIN; Lindenberg; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Pressure, atmospheric; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6219 data points
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  • 86
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    Radiosonde measurements from station Lindenberg (2022-07) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Germany; LIN; Lindenberg; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 853003 data points
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  • 87
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    Shipboard ADCP current measurements (75 kHz) during RV SONNE cruise SO296/1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Current velocities of the upper water column along the cruise track of R/V Sonne cruise SO296/1 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-0.1252° +/- 0.4024°) and scale factor (1.0042 +/- 0.0075) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 1.5 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.3 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; MAPUCHE; Pings, averaged to a double ensemble value; Quality flag, current velocity; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO296/1; SO296/1_0_Underway-4; Sonne_2; Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 11235790 data points
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  • 88
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    Ozone measurements from station Lindenberg (2022-08) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS; Ozone total
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 89
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    Meteorological synoptical observations from station Lindenberg (2022-08) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Germany; HYGRO; Hygrometer; LIN; Lindenberg; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Pressure, atmospheric; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6486 data points
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  • 90
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    Expanded measurements from station Lindenberg (2022-08) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: Baseline Surface Radiation Network; BSRN; Cloud base height; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: text/tab-separated-values, 3290 data points
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  • 91
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    Radiosonde measurements from station Lindenberg (2022-08) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Lindenberg - Richard-Aßmann-Observatorium
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Germany; LIN; Lindenberg; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 852613 data points
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  • 92
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    Passive acoustic monitoring data recorded by recorder SV1097 at mooring R1-1 in Fram Strait in 2016/2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1097 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 78.1702° N, 0.0007° E, mooring R1-1, in Fram Strait. During a deployment period from August 2016 to July 2018, passive acoustic data were collected from August 2016 to August 2017 (recording period) by SV1097 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 752 m depth and scheduled to record continuously at a sample rate of 48,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXX/2, GN05; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; FRAM; FRontiers in Arctic marine Monitoring; MOOR; Mooring; Mooring (long time); MOORY; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS100; PS100/106-1; PS100/106-1, PS114_23-2; PS114; PS114_23-2; R1-1
    Type: Dataset
    Format: text/tab-separated-values, 359 data points
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  • 93
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    Passive acoustic monitoring data recorded by recorder SV1024 at mooring F4-15 in Fram Strait in 2012 (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: Passive acoustic monitoring (PAM) data were collected by recorder SV1024 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 78.8335° N, 6.9998° E, mooring F4-15, in Fram Strait. During a deployment period from June 2012 to June 2015, passive acoustic data were collected from June 2012 to December 2012 (recording period) by SV1024 as part of the Frontiers in Arctic Marine Monitoring (FRAM) observatory in Fram Strait. The recorder was moored at 1410 m depth and scheduled to record continuously at a sample rate of 5,333 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
    Keywords: ARK-XXIX/2.1; ARK-XXVII/1; Audio file; Audio file (File Size); DATE/TIME; DEPTH, water; F04-15; F4-15; FRAM; FRontiers in Arctic marine Monitoring; MOOR; Mooring; North Greenland Sea; Passive acoustic recorder Sono.Vault, develogic GmbH; Polarstern; PS80; PS80/033-1; PS93/004-1; PS93.1
    Type: Dataset
    Format: text/tab-separated-values, 148 data points
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  • 94
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    Surface brightness temperature images measured by an infrared camera installed on RV POLARSTERN during expedition PS131 (ATWAICE) (June - August 2022, Fram Strait/East Greenland) (2024)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Description: During the Polarstern cruise PS131 infrared (IR) brightness temperatures of the surface (open ocean and sea ice) were recorded from onboard the vessel with a down-looking infrared camera (Infrared VarioCAM HDx head camera from InfraTec) that was installed on starboard on the upper deck (at around 21.5 m from sea level ('Peildeck')). The viewing angle (off-nadir) was around 70° and the camera has a field of view of 57.1° × 44.4°. Each image has a size of 640 × 480 IR pixels. The images are stored as netCDF files where one file includes data from one day. For each image, latitude and longitude information are included. They are obtained from the mastertrack of the ship (doi:10.1594/PANGAEA.950999). In addition the dataset contains the viewing angle for each image obtained from an auxiliary inertial measurement unit (IMU) installed on the IR camera that was resampled to 2 seconds. Missing data of the IMU was filled by the average of the existing angle measurements of the respective day or, if that was not available, by a fill-value of 70°. The IR camera was operated in conjunction with a visual camera, pointing at the same target. The IR camera data was recording one image every 10 minutes from 3 July - 10 July. From 10 July, 16:00 UTC, the cameras was operated with a sampling rate of 0.2 Hz, taking a picture every 5 s. Data is missing on 24 July from 7:09-19:22 and on 7 August from 17:16-21:20 when the recording was stopped. The images contain open ocean as well as sea ice in the eastern Fram Strait, the marginal ice zone in Fram Strait, during the transit to the Aurora vent field (high ice concentration) and near East Greenland (fast ice).
    Keywords: Arctic; ATWAICE; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); brightness temperature; CT; Infrared head camera, InfraTec, VarioCAM HDx; infrared imagery; marginal ice zone; ocean temperature; Polarstern; PS131; PS131-track; Sea ice; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
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  • 95
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    Continuous wave and tide observations at station BEFmate_seafloor (2018-03) (2020)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEPTH, water; DynaCom_seafloor; experimental islands; ICBM; Institut für Chemie und Biologie des Meeres; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 47377 data points
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  • 96
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    Continuous wave and tide observations at station BEFmate_seafloor (2018-07) (2020)
    PANGAEA
    In:  Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky University of Oldenburg, Germany
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEPTH, water; DynaCom_seafloor; experimental islands; ICBM; Institut für Chemie und Biologie des Meeres; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 18084 data points
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  • 97
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-02) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 44352 data points
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  • 98
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-04) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 47520 data points
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  • 99
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-03) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 48620 data points
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  • 100
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    Continuous wave and tide observations at station BEFmate_seafloor (2019-06) (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-15
    Keywords: ALTITUDE; BEFmate; BEFmate_seafloor2; biodiversity - ecosystem functioning; DATE/TIME; DEPTH, water; DynaCom; DynaCom_seafloor; experimental islands; FOR 2716: Spatial community ecology in highly dynamic landscapes: from island biogeography to metaecosystems; ICBM; Institut für Chemie und Biologie des Meeres; Metacommunity; MULT; Multiple investigations; Pressure, raw; salt marsh; Spiekeroog; Spiekeroog, German Bight, North Sea; Temperature, water; Tide and Wave Logger, RBR, RBRduo T.D/wave [SN: 051159]; water level; wave; Wave energy; Wave height, average; Wave height, maximum; Wave height, significant; Wave height, tenth; Wave period, average; Wave period, maximum; Wave period, significant; Wave period, tenth
    Type: Dataset
    Format: text/tab-separated-values, 46035 data points
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